WO2023188050A1 - Alcohol consumption status estimating device, biological information notification device, alcohol consumption status estimating system, and alcohol consumption status estimating method - Google Patents

Alcohol consumption status estimating device, biological information notification device, alcohol consumption status estimating system, and alcohol consumption status estimating method Download PDF

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Publication number
WO2023188050A1
WO2023188050A1 PCT/JP2022/015751 JP2022015751W WO2023188050A1 WO 2023188050 A1 WO2023188050 A1 WO 2023188050A1 JP 2022015751 W JP2022015751 W JP 2022015751W WO 2023188050 A1 WO2023188050 A1 WO 2023188050A1
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WIPO (PCT)
Prior art keywords
alcohol concentration
alcohol
person
information
customer
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PCT/JP2022/015751
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French (fr)
Japanese (ja)
Inventor
佳恵 大橋
浩志 大塚
愛美 定本
涼太 中田
彰裕 藤江
英之 中溝
達也 萩原
裕翔 榊
浩之 水谷
健吾 川▲崎▼
平 和田
青 山下
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三菱電機株式会社
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Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社
Priority to PCT/JP2022/015751 priority Critical patent/WO2023188050A1/en
Priority to JP2023579424A priority patent/JP7483166B2/en
Publication of WO2023188050A1 publication Critical patent/WO2023188050A1/en

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light

Definitions

  • the present disclosure relates to a drinking state estimation device, a biological information notification device, a drinking state estimation system, and a drinking state estimation method.
  • Patent Document 1 discloses that light in a specific wavelength range in which the breathing characteristics of ethanol in the near-infrared wavelength range appear is passed through the driver's exhalation and received, and the amount of received light is measured based on the detected environmental information.
  • Patent Document 1 is for determining the drinking state of a specific person (driver), and is for determining the drinking state of a specific person (driver). , respectively, do not take into account the need to determine the state of drinking. Therefore, the above-mentioned problem is still not solved by the technique disclosed in Patent Document 1.
  • the present disclosure has been made to solve the above-mentioned problems, and is a drinking state estimating device that estimates the drinking state of a person at a restaurant where alcohol is served, even if there are multiple people. , respectively, each of which aims to provide a drinking state estimating device that is capable of estimating a drinking state.
  • the drinking state estimating device is a drinking state estimating device that estimates the drinking state of a person at a restaurant where alcohol is served, and is installed on an object that comes into contact with a person to irradiate and reflect light on the person.
  • An alcohol concentration information acquisition unit that acquires alcohol concentration information indicating a person's blood alcohol concentration from an alcohol concentration detection sensor that measures the person's blood alcohol concentration based on received reflected light; and an alcohol concentration information acquisition unit that acquires alcohol concentration information.
  • an estimation unit that estimates the person's degree of drunkenness after the predicted time as the person's drinking state based on the alcohol concentration information obtained.
  • FIG. 1 is a diagram illustrating a configuration example of a drinking state estimation system including a drinking state estimation device according to a first embodiment
  • FIG. FIG. 2 is a diagram for explaining an example of chopsticks provided with an alcohol concentration detection sensor in Embodiment 1.
  • FIG. FIG. 3 is a diagram illustrating an example of how an alcohol concentration detection sensor measures a customer's blood alcohol concentration in the first embodiment.
  • 1 is a diagram illustrating a configuration example of a biological information notification device including a drinking state estimation device according to Embodiment 1.
  • FIG. 1 is a diagram illustrating the appearance of an example of a tablet terminal equipped with a drinking state estimation device and a biological information notification device according to Embodiment 1.
  • FIG. 3 is a diagram illustrating an example of how the seating detection sensor senses the alcohol concentration detection sensor and acquires presence/absence information in the first embodiment.
  • 3 is a diagram illustrating an example of drunkenness level estimation information used by the estimation unit to estimate the drunkenness level in the first embodiment;
  • FIG. 8A, FIG. 8B, FIG. 8C, and FIG. 8D are diagrams showing examples of display screens displayed by the output device based on output control information in the first embodiment.
  • 2 is a flowchart for explaining the operation of the biological information notification device according to the first embodiment, which includes the drinking state estimation device according to the first embodiment.
  • 10 is a flowchart for explaining details of the state estimation process by the estimator in step ST4 of FIG. 9.
  • FIG. 10 is a flowchart for explaining details of character display processing by the output content determining section in step ST5 of FIG. 9.
  • FIG. 1 if the amount of alcohol ordered is large relative to the number of customers, or if alcohol with a high alcohol content is ordered, the customer is warned against excessive alcohol intake.
  • 2 is a diagram illustrating an example of the configuration of a biometric information notification device that has a function of displaying a character.
  • FIG. 13 is a flowchart for explaining the operation of the biometric information notification device in the first embodiment when the biometric information notification device has the configuration example shown in FIG. 12.
  • FIG. 12 is a flowchart for explaining the operation of the biometric information notification device in the first embodiment when the biometric information notification device has the configuration example shown in FIG. 12.
  • FIG. 15A and 15B are diagrams illustrating an example of the hardware configuration of the drinking state estimation device according to the first embodiment and the biological information notification device according to the first embodiment.
  • FIG. 3 is a diagram illustrating a configuration example of a drinking state estimation system according to a second embodiment.
  • FIG. 7 is a diagram illustrating a configuration example of a biological information notification device including a drinking state estimation device according to a second embodiment. 7 is a flowchart for explaining the operation of the biological information notification device according to Embodiment 2, which includes the drinking state estimation device according to Embodiment 2.
  • FIG. 19 is a flowchart for explaining details of the state estimation process by the estimator in step ST15 of FIG. 18.
  • FIG. 19 is a flowchart for explaining details of the state estimation process by the estimator in step ST15 of FIG. 18.
  • FIG. 19 is a flowchart for explaining details of character display processing by the output content determining section in step ST16 of FIG. 18.
  • FIG. 12 is a flowchart illustrating details of character display processing by an output content determining unit when it is determined to issue a warning that a situation will occur.
  • the second embodiment if the amount of alcohol ordered is large relative to the number of customers, or if alcohol with a high alcohol content is ordered, the customer is warned against excessive alcohol intake.
  • FIG. 2 is a diagram illustrating an example of the configuration of a biometric information notification device that has a function of displaying a character.
  • FIG. 23 is a flowchart for explaining the operation of the biometric information notification device in the second embodiment when the biometric information notification device has the configuration example shown in FIG. 22.
  • FIG. FIG. 7 is a diagram illustrating a configuration example of a drinking state estimation system according to a third embodiment.
  • FIG. 7 is a diagram illustrating a configuration example of a biological information notification device including a drinking state estimation device according to a third embodiment.
  • 12 is a flowchart for explaining the operation of the biological information notification device according to Embodiment 3, which includes the drinking state estimation device according to Embodiment 3.
  • FIG. 27 is a flowchart for explaining details of the state estimation process by the estimator in step ST115 of FIG. 26.
  • 2 is a diagram illustrating an example of the configuration of a biometric information notification device that has a function of displaying a character.
  • FIG. FIG. 2 is a diagram for explaining an example of a chair provided with an alcohol concentration detection sensor.
  • FIG. 2 is a diagram for explaining an example of a wearable terminal provided with an alcohol concentration detection sensor.
  • FIG. 1 is a diagram showing a configuration example of a drinking state estimation system 1000 including a drinking state estimation device 1 according to the first embodiment.
  • a drinking state estimating device 1 and an alcohol concentration detection sensor 5 constitute a drinking state estimation system 1000.
  • the drinking state estimation device 1 and the alcohol concentration detection sensor 5 are connected via a network.
  • the drinking state estimating device 1 estimates the drinking state of a person at a restaurant where alcohol is served. Specifically, the drinking state estimating device 1 calculates the drinking state of a person based on the person's "drunkenness level" after a preset time (hereinafter referred to as "predicted time") at a restaurant where alcohol is served. Estimated as. In Embodiment 1, a person's drinking state refers to the alcohol intake state after a predicted time, and is indicated by a "degree of drunkenness.” The drinking state estimating device 1 acquires information indicating blood alcohol concentration (hereinafter referred to as "alcohol concentration information”) from an alcohol concentration detection sensor 5 that measures a person's blood alcohol concentration.
  • alcohol concentration information information indicating blood alcohol concentration
  • the drinking state estimating device 1 estimates the degree of drunkenness of a person at a restaurant where alcohol is served after a predicted time based on the alcohol concentration information acquired from the alcohol concentration detection sensor 5. The drinking state estimating device 1 estimates that the higher the blood alcohol concentration of a person, the higher the degree of drunkenness. When the degree of drunkenness exceeds a certain value, it can be said that the person is in a state of "excessive alcohol consumption.” In Embodiment 1, "excessive alcohol consumption state” is not a chronic state, but a so-called life-threatening state in which consciousness disturbance is caused by consuming too much alcohol at once. Assuming acute alcohol poisoning.
  • a restaurant where alcohol is served is also simply referred to as a "restaurant.”
  • people at a restaurant are assumed to be people who order and eat food or drinks at a restaurant, and are also referred to as "customers.”
  • the alcohol concentration detection sensor 5 is provided in the eating utensil 500 and measures the blood alcohol concentration of the customer who uses the eating utensil 500.
  • the eating utensils 500 are assumed to be general utensils used by people when eating, such as chopsticks, spoons, forks, or knives.
  • the eating utensil 500 is chopsticks 501 (see FIG. 2 described below).
  • the alcohol concentration detection sensor 5 measures the blood alcohol concentration based on the reflected light that is received by irradiating light onto a person and reflecting the light.
  • the alcohol concentration detection sensor 5 is a well-known general sensor that measures a person's blood alcohol concentration, so a detailed explanation will be omitted.
  • FIG. 2 is a diagram for explaining an example of chopsticks 501 provided with alcohol concentration detection sensor 5 in the first embodiment.
  • One alcohol concentration detection sensor 5 is provided for each pair of chopsticks 501. That is, when a certain customer eats using chopsticks 501, the alcohol concentration detection sensor 5 provided on each of the chopsticks 501 will measure the blood alcohol concentration of the certain customer. .
  • the drinking state estimation device 1 acquires alcohol concentration information from the alcohol concentration detection sensor 5 provided on chopsticks 501 as shown in FIG. 2, for example.
  • FIG. 3 is a diagram showing an example of how the alcohol concentration detection sensor 5 measures a customer's blood alcohol concentration in the first embodiment.
  • the alcohol concentration detection sensor 5 is provided at a position that is touched by a customer's hand when the customer uses chopsticks 501 to eat.
  • the alcohol concentration detection sensor 5 measures the customer's blood alcohol concentration based on the reflected light received by irradiating light onto the customer's hand holding the chopsticks 501 and reflecting the light.
  • the alcohol concentration detection sensor 5 outputs alcohol concentration information indicating the measured blood alcohol concentration of the customer to the drinking state estimation device 1.
  • the drinking state estimation system 1000 sets two alcohol concentration detection sensors 5 provided on each pair of two chopsticks 501 as one set of alcohol concentration detection sensors 5.
  • Each alcohol concentration detection sensor 5 is given a unique identification number.
  • the alcohol concentration information that the alcohol concentration detection sensor 5 outputs to the drinking state estimation device 1 includes information on the identification number.
  • the alcohol concentration detection sensor 5 can be washed together with the chopsticks 501 in a dishwasher or the like.
  • the alcohol concentration detection sensor 5 can receive power from a power transmission device (not shown) in a non-contact manner, and measures the customer's blood alcohol concentration based on the power received from the power transmission device.
  • the power transmission device is provided, for example, on a chopstick rest (not shown) placed on a desk and used as a set with the chopsticks 501, or on a shelf board of a cupboard (not shown) in which the chopsticks 501 are stored. Since the technology of contactless power supply is a well-known technology, detailed description thereof will be omitted.
  • the drinking state estimation device 1 according to the first embodiment is included in, for example, a biological information notification device.
  • FIG. 4 is a diagram showing a configuration example of a biological information notification device 2 including the drinking state estimation device 1 according to the first embodiment.
  • FIG. 4 only one alcohol concentration detection sensor 5 is shown for simplicity of explanation, but this is only an example.
  • FIG. 4 only one eating utensil 500 is shown for ease of explanation, but this is only an example.
  • the drinking state estimating device 1 can be connected to a plurality of alcohol concentration detection sensors 5 respectively provided on a plurality of eating utensils 500 (here, chopsticks 501). As shown in FIG.
  • a biological information notification device 2 including a drinking state estimation device 1 is mounted on a tablet terminal 100 installed on a desk for customers to eat and drink in a restaurant, for example. It is assumed that The tablet terminal 100 is capable of communicating with the alcohol concentration detection sensor 5.
  • the tablet terminal 100 includes a drinking state estimation device 1 and a biological information notification device 2, as well as a reception section 61, an ordering section 62, an order history storage section 63, an output device 41, and a seating detection sensor 3.
  • the biological information notification device 2 uses a character to provide information based on the customer's drinking state estimated by the drinking state estimating device 1, in other words, the customer's degree of drunkenness after the predicted time. Specifically, the biological information notification device 2 causes the output devices 41 and 42 to display the degree of drunkenness of the customer after the predicted time in a manner corresponding to the degree of drunkenness of the customer after the predicted time.
  • the tablet terminal 100 includes, for example, a touch panel display.
  • the output device 41 is assumed to be a touch panel display included in the tablet terminal 100.
  • the output device 42 is, for example, a display device included in a PC (Personal Computer, not shown) installed in the kitchen of a restaurant, or a touch panel type device included in a tablet terminal (not shown) carried by an employee of the restaurant. It's a display. Details of the biological information notification device 2 will be described later.
  • a PC Personal Computer, not shown
  • a touch panel type device included in a tablet terminal (not shown) carried by an employee of the restaurant. It's a display. Details of the biological information notification device 2 will be described later.
  • the tablet terminal 100 is also used by customers to order food or drinks.
  • a customer orders food or drinks by, for example, touching a touch panel display provided on the tablet terminal 100.
  • the reception unit 61 of the tablet terminal 100 receives orders. Specifically, the reception unit 61 receives information regarding a product (food or drink) input by a customer.
  • the ordering unit 62 generates information regarding the ordered product (hereinafter referred to as "order history information"), and associates it with the acquisition date and time of the order history information. It is stored in the order history storage section 63.
  • order history information includes, for example, order date and time, information that can identify the tablet terminal 100 on which the order was placed, such as a terminal number unique to the tablet terminal 100, information on the product name, and information on the number of orders.
  • the ordering unit 62 outputs order history information to a server (not shown) external to the tablet terminal 100.
  • the server is assumed to be, for example, a server that manages order status within a store.
  • the server causes the output device 42 to output the order history information, for example, and notifies the clerk in the kitchen of the order details.
  • the ordering unit 62 when storing the order history information in the order history storage unit 63, the ordering unit 62 also instructs the alcohol concentration detection sensor 5 to start acquiring alcohol concentration information (hereinafter referred to as “concentration acquisition start instruction”). ) is output.
  • the alcohol concentration detection sensor 5 starts measuring the customer's blood alcohol concentration when the ordering unit 62 outputs an instruction to start acquiring the concentration.
  • the seating detection sensor 3 senses the alcohol concentration detection sensor 5 on the desk. For example, when the power of the tablet terminal 100 is turned on, the seating detection sensor 3 starts sensing the alcohol concentration detection sensor 5.
  • the seating detection sensor 3 outputs the sensing result (hereinafter referred to as "presence information") to the biological information notification device 2.
  • the biological information notification device 2 assigns a character to each customer based on the presence/absence information to provide information based on the customer's degree of drunkenness after the predicted time. By sensing the alcohol concentration detection sensor 5, the seating detection sensor 3 can identify the position where the alcohol concentration detection sensor 5 is present.
  • the seating detection sensor 3 also collects information regarding the identification number assigned to each alcohol concentration detection sensor 5 from each alcohol concentration detection sensor 5.
  • the presence/absence information includes, for each alcohol concentration detection sensor 5, information in which information regarding the identification number of the alcohol concentration detection sensor 5 and information regarding the position of the alcohol concentration detection sensor 5 are associated with each other. Further, in the presence/absence information, information on the identification number of the partner alcohol concentration detection sensor 5 is added to the information regarding the identification number.
  • the seating detection sensor 3 outputs information for obtaining presence/absence information with directivity in the direction in which the chopsticks 501 on which the alcohol concentration detection sensor 5 is installed are assumed to be placed.
  • the alcohol concentration detection sensor 5 receives the information output from the seating detection sensor 3 and outputs information regarding the identification number and the like to the seating detection sensor 3. Sensing technology using such a seating detection sensor 3 can be realized by a known technology.
  • the seating detection sensor 3 may sense the alcohol concentration detection sensor 5 using a technology such as RFID (Radio Frequency Identification) to obtain presence/absence information.
  • RFID Radio Frequency Identification
  • FIG. 5 is a diagram showing an example of the appearance of a tablet terminal 100 equipped with the drinking state estimation device 1 and the biological information notification device 2 according to the first embodiment.
  • FIG. 6 is a diagram showing an example of how the seating detection sensor 3 senses the alcohol concentration detection sensor 5 and acquires presence/absence information in the first embodiment.
  • first chopsticks 501a is placed on a desk
  • the first chopsticks 501a is provided with alcohol concentration detection sensors 5 (referred to as alcohol concentration detection sensor 5-1 and alcohol concentration detection sensor 5-2) shown as 5-1 and 5-2
  • the second chopstick 501b is provided with alcohol concentration detection sensors 5-3 and 5-2, respectively.
  • An alcohol concentration detection sensor 5 (referred to as alcohol concentration detection sensor 5-3, alcohol concentration detection sensor 5-4) indicated by 5-4 is provided
  • the third chopstick 501c is provided with alcohol concentration detection sensor 5 indicated by 5-5 and 5-6.
  • Alcohol concentration detection sensors 5 (referred to as alcohol concentration detection sensors 5-5 and alcohol concentration detection sensors 5-6) are provided on the fourth chopstick 501d, and alcohol concentration detection sensors 5 (referred to as alcohol concentration detection sensors 5-7 and 5-8) are provided on the fourth chopstick 501d.
  • a concentration detection sensor 5-7 and an alcohol concentration detection sensor 5-8 are provided.
  • the seating detection sensor 3 senses eight alcohol concentration detection sensors 5-1 to 5-8. In the following description, when it is not necessary to distinguish between the alcohol concentration detection sensors 5-1 to 5-8, they are also collectively referred to as the alcohol concentration detection sensors 5.
  • Embodiment 1 as an example, four customers (a first customer A, a second customer B, a third customer C, and a fourth customer D) visit a restaurant. Assume that you eat and drink at a desk like the one shown in 6. Note that the first customer A uses the first chopsticks 501a, the second customer B uses the second chopsticks 501b, the third customer C uses the third chopsticks 501c, and the fourth customer C uses the third chopsticks 501c. It is assumed that customer D uses the fourth chopstick 501d.
  • the biological information notification device 2 includes a drinking state estimation device 1, a presence/absence information acquisition section 21, an allocation section 22, an output content determination section 23, and an output section 24. Details of the drinking state estimation device 1 will be described later.
  • the presence/absence information acquisition unit 21 acquires presence/absence information from the seating detection sensor 3 .
  • the presence/absence information includes, for each alcohol concentration detection sensor 5, information in which information regarding the identification number of the alcohol concentration detection sensor 5 and information regarding the position of the alcohol concentration detection sensor 5 are associated with each other. Further, in the presence/absence information, information on the identification number of the partner alcohol concentration detection sensor 5 is added to the information regarding the identification number. For example, information regarding the identification number of the alcohol concentration detection sensor 5-2 is added to the information regarding the identification number of the alcohol concentration detection sensor 5-1.
  • the presence/absence information acquisition unit 21 outputs the acquired presence/absence information to the allocation unit 22.
  • the assignment unit 22 identifies customers based on the presence/absence information output from the presence/absence information acquisition unit 21 and assigns a character to each customer. Characters that can be assigned by the assignment unit 22 are determined in advance, and information regarding the characters is stored in a location that can be referenced by the assignment unit 22.
  • the assigning unit 22 may, for example, randomly assign a character to each customer.
  • the assignment unit 22 assigns characters to the first customer A, the second customer B, the third customer C, and the fourth customer D, respectively.
  • the assignment unit 22 assigns a cat character to the first customer A, a pig character to the second customer B, a ninja character to the third customer C, and a dog character to the fourth customer D. , respectively.
  • the assignment unit 22 When assigning a character, the assignment unit 22 generates information regarding the assigned character (hereinafter referred to as "assignment information").
  • the assignment information includes information indicating the customer's location, information regarding the identification number of the alcohol concentration detection sensor 5, and information indicating the character assigned to the customer.
  • the information regarding the identification number of the alcohol concentration detection sensor 5 is provided with information about the identification number of the alcohol concentration detection sensor 5 serving as a pair.
  • the presence/absence information includes information regarding the identification number of the alcohol concentration detection sensor 5 and information regarding the position of the alcohol concentration detection sensor 5. Therefore, the allocation unit 22 can specify the number of customers, the location where the customers are present, and the combination of the paired alcohol concentration detection sensors 5 based on the presence/absence information.
  • the allocation unit 22 may indicate the customer's position by, for example, the position of the alcohol concentration detection sensor 5.
  • the allocation unit 22 includes information indicating the position of the alcohol concentration detection sensor 5-1, information regarding the identification number of the alcohol concentration detection sensor 5-1, and information indicating the cat character. information is included in the allocation information.
  • the allocation unit 22 assigns information about the paired alcohol concentration detection sensor 5-2 to the information regarding the identification number of the alcohol concentration detection sensor 5-1.
  • the allocation unit 22 outputs the allocation information to the output content determination unit 23 and the estimation unit 12 of the drinking state estimation device 1.
  • the drinking state estimation device 1 includes an alcohol concentration information acquisition section 11, an estimation section 12, and a concentration information storage section 13.
  • the alcohol concentration information acquisition unit 11 acquires alcohol concentration information indicating the blood alcohol concentration of customers in the restaurant from the alcohol concentration detection sensor 5.
  • the alcohol concentration information acquisition unit 11 indicates the blood alcohol concentrations of the first customer A, the second customer B, the third customer C, and the fourth customer D from the alcohol concentration detection sensor 5. Obtain alcohol concentration information.
  • the alcohol concentration information acquisition unit 11 stores the acquired alcohol concentration information in the concentration information storage unit 13 in association with the acquisition date and time of the alcohol concentration information, and outputs it to the estimation unit 12.
  • the estimation unit 12 estimates the customer's drinking state, in other words, the customer's degree of drunkenness after the predicted time, based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit 11. Specifically, the estimating unit 12 estimates the customer's degree of drunkenness after the predicted time based on time-series alcohol concentration information for a preset period (hereinafter referred to as "first period") regarding the customer. . Note that the estimation unit 12 estimates the degree of drunkenness for each customer. In the first embodiment, it is possible to set the period of time to be the "prediction time" as appropriate. Furthermore, in the first embodiment, the "first period" is the period from when the tablet terminal 100 first receives an order after the customer visits the store until now.
  • the estimation unit 12 may use the alcohol concentration information stored in the concentration information storage unit 13 as the alcohol concentration information for the first period. As described above, when a customer comes to the store and the tablet terminal 100 receives an order, the tablet terminal 100 outputs a concentration acquisition start instruction to the alcohol concentration detection sensor 5.
  • the alcohol concentration information acquired by the alcohol concentration information acquisition unit 11 from the alcohol concentration detection sensor 5 and stored in the concentration information storage unit 13 is referred to as alcohol concentration information acquired from the time when the tablet terminal 100 first received an order until now. It turns out. Note that the alcohol concentration information stored in the concentration information storage unit 13 is initialized, for example, when the power of the tablet terminal 100 is turned on or when the power of the tablet terminal 100 is turned off.
  • the estimation unit 12 refers to the concentration information storage unit 13 and obtains time-series alcohol concentration information for the first period. Note that the concentration information storage unit 13 may store only current alcohol concentration information. In this case, the estimation unit 12 waits until a plurality of pieces of alcohol concentration information are stored in the concentration information storage unit 13, for example.
  • the estimation unit 12 estimates the degree of drunkenness of the customer after the predicted time based on the acquired time-series alcohol concentration information for the first period. At this time, the estimation unit 12 estimates the degree of drunkenness after the predicted time for each customer. Here, the estimation unit 12 estimates the degree of drunkenness after the predicted time for each of the first customer A, the second customer B, the third customer C, and the fourth customer D. Note that the estimation unit 12 can identify the customer based on the allocation information output from the biometric information notification device 2. Specifically, the set of alcohol concentration detection sensors 5 corresponding to the customer's location can be specified. The estimation unit 12 may estimate the degree of drunkenness after the predicted time for each customer from the specified set of alcohol concentration information.
  • the estimation unit 12 selects one of the paired pieces of alcohol concentration information, and estimates the degree of drunkenness after the predicted time for each customer from the selected alcohol concentration information. For example, the estimation unit 12 may estimate the degree of drunkenness after the predicted time for each customer by using the average value of the blood alcohol concentration indicated by the paired alcohol concentration information as the blood alcohol concentration for each customer. . In Embodiment 1, as an example, the estimating unit 12 selects one of the pairs of alcohol concentration information to estimate the degree of drunkenness after the predicted time for each customer.
  • the estimating unit 12 first predicts the blood alcohol concentration of the customer after the predicted time (hereinafter referred to as "predicted value of blood alcohol concentration") based on the time-series alcohol concentration information for the first period. For example, the estimation unit 12 may predict the predicted value of the blood alcohol concentration by assuming that the current increase in the blood alcohol concentration will continue.
  • the estimation unit 12 is, for example, a trained model in machine learning that inputs information indicating how the blood alcohol concentration increases in the first period and outputs information indicating the predicted value of the blood alcohol concentration after the prediction time. (hereinafter referred to as a "machine learning model”) may be used to predict the predicted value of blood alcohol concentration.
  • the machine learning model is generated in advance and stored in a location that can be referenced by the estimation unit 12.
  • the estimation unit 12 estimates the degree of drunkenness of the customer after the predicted time based on the predicted value of blood alcohol concentration. For example, drunkenness degree estimation information in which a blood alcohol concentration range and a drunkenness degree are associated with each other is generated in advance and held in the estimation unit 12.
  • FIG. 7 is a diagram showing an example of drunkenness level estimation information used by the estimation unit 12 to estimate the drunkenness level in the first embodiment.
  • the degree of drunkenness is, for example, “1 (exhilarating),” “2 (tipsy),” “3 (early drunkenness),” “4 (drunken),” and , "5 (drunk)". That is, in the first embodiment, it is assumed that the customer's drinking state is expressed in five stages.
  • the estimation unit 12 compares the predicted value of the blood alcohol concentration with the information for estimating the degree of drunkenness, and estimates the degree of drunkenness.
  • the degree of drunkenness of the first customer A is 0.03 (%)
  • the degree of drunkenness of the second customer B is 0.06 (%)
  • the degree of drunkenness of the third customer C is 0.03 (%). 29 (%)
  • the fourth customer D's drunkenness level is 0.11 (%).
  • the estimation unit 12 determines that the degree of drunkenness of the first customer A after the predicted time is “1 (exhilarating)", the degree of drunkenness of the second customer B after the predicted time is “2 (tipsy)", The degree of drunkenness of the third customer C after the predicted time is estimated to be “4 (drunkenness),” and the degree of drunkenness of the fourth customer D after the predicted time is estimated to be “3 (initial drunkenness)."
  • the estimation unit 12 generates information regarding the estimated degree of drunkenness (hereinafter referred to as “drunkenness information”), and outputs the generated drunkenness information to the output content determination unit 23 of the biological information notification device 2.
  • the drunkenness information includes, for each customer (here, the first customer A, second customer B, third customer C, and fourth customer D), information indicating the customer's location and the customer's alcoholic beverages. Contains information associated with the degree of intoxication. Note that the estimation unit 12 may set the customer's position to the position of the alcohol concentration detection sensor 5. The estimation unit 12 can identify the location of the customer from the assignment information.
  • a preset threshold hereinafter
  • the output content determination unit 23 determines that the degree of drunkenness after the predicted time is equal to or higher than the threshold for determining alcohol consumption, the output content determination unit 23 determines to warn the customer that he or she will be in a state of excessive alcohol intake in the near future.
  • the output content determining unit 23 generates output control information for displaying a character in a form that warns the user of excessive alcohol intake in the near future.
  • the output content determining unit 23 outputs the generated output control information to the output devices 41 and 42 via the output unit 24. Thereby, the output content determining unit 23 causes the output devices 41 and 42 to display information according to the determined output content.
  • the output content determining unit 23 determines to notify the customer of the drunken state.
  • the output content determining unit 23 generates output control information for displaying the character in a form corresponding to the degree of drunkenness after the predicted time. Then, the output content determining unit 23 outputs the generated output control information to the output devices 41 and 42 via the output unit 24. Thereby, the output content determining unit 23 causes the output devices 41 and 42 to display information according to the determined output content.
  • the estimating unit 12 determines that the degree of drunkenness of the first customer A after the predicted time is "1 (exhilarating)", the degree of drunkenness of the second customer B after the predicted time is “2 (tipsy)", and the degree of drunkenness of the second customer B after the predicted time is “2 (tipsy)".
  • the degree of drunkenness of the third customer C after the predicted time is estimated to be “4 (drunkenness)” and the degree of drunkenness of the fourth customer D after the predicted time is estimated to be "3 (initial drunkenness)”.
  • the threshold value for determining alcohol consumption is set to "4".
  • the output content determining unit 23 displays a ninja character corresponding to the third customer C in the form of a warning that he will fall into a state of excessive alcohol intake in the near future, and displays the ninja character corresponding to the third customer C after the predicted time of the first customer A.
  • a cat character corresponding to the first customer A is displayed in a form according to the degree of drunkenness
  • a pig character corresponding to the second customer B is displayed in a form according to the degree of drunkenness after the predicted time of the second customer B.
  • the output unit 24 outputs the output control information output from the output content determining unit 23 to the output device 41.
  • the output unit 24 may output the output control information output from the output content determining unit 23 to the output device 42.
  • FIGS. 8A, 8B, 8C, and 8D are diagrams showing examples of display screens displayed by the output device 41 based on output control information in the first embodiment.
  • 8A, FIG. 8B, FIG. 8C, and FIG. 8D show, as an example, the case where the customers are a first customer A, a second customer B, a third customer C, and a fourth customer D. This is an example of a display screen.
  • the form corresponding to the degree of drunkenness after the predicted time of the first customer A is the form corresponding to "1 (exhilarating)"
  • the form corresponding to the degree of drunkenness after the predicted time of the third customer C is
  • the form corresponding to "2 (tipsy)” is set according to the degree of drunkenness
  • the form corresponding to "3 (early drunkenness)” is set according to the degree of drunkenness after the predicted time of the fourth customer D. has been done. Therefore, on the display screen of the output device 41, the cat character is displayed with a happy expression (smiling face) representing exhilaration (see A in FIG. 8A).
  • the pig character is displayed in a happy and dancing manner, indicating that the pig character is tipsy (see B in FIG. 8A).
  • the dog character is displayed with no facial expression and with his hand on his heart, indicating the early stage of drunkenness (see D in FIG. 8A).
  • the ninja character corresponding to the third customer C is to be displayed in the form of a warning that he will fall into a state of excessive alcohol intake in the near future. Therefore, on the display screen of the output device 41, the ninja character is displayed with his hands turned into an "X" to warn that he cannot drink any more (see C in FIG. 8A).
  • the biological information notification device 2 can make the customer aware of his/her drinking status. As a result, the customer can understand that he or she is likely to fall into a state of excessive alcohol consumption in the near future. Furthermore, by providing information regarding the customer's drinking status using characters, the biological information notification device 2 can allow the customer to accept advice regarding the customer's drinking status calmly rather than being warned by others.
  • the output content determining unit 23 may generate output control information for displaying a display screen as shown in FIG. 8B.
  • a desk and the tablet terminal 100 are displayed.
  • the output content determining unit 23 causes the output control information to include information indicating where on the desk each character is to be displayed.
  • the output content determining unit 23 displays each character at a position corresponding to the position of the actual customer with respect to the desk.
  • the biometric information notification device 2 can tell the customer which character is assigned to him or her, or in other words, which character shows his or her drinking status. You can intuitively understand what is happening.
  • the output content determining unit 23 can also display a message on the display screen.
  • the output content determination unit 23 may also display a warning message such as "I can't drink anymore”. Good (see Figure 8C).
  • the output content determining unit 23 generates output control information for displaying, for example, a ninja character saying, "I can't drink anymore.” By displaying a message in addition to the character, the biological information notification device 2 can more clearly inform the customer that he or she will be in a state of excessive alcohol consumption in the near future.
  • the output content determining unit 23 can display the amount of alcohol consumed by the customer in association with the character. For example, the output content determination unit 23 may calculate the amount of alcohol consumed by the customer based on the blood alcohol concentration. It is assumed that the formula for calculating the amount of alcohol consumed by the customer based on the blood alcohol concentration is determined in advance. The output content determining unit 23 may calculate the customer's drinking amount from the predicted value of the customer's blood alcohol concentration estimated by the estimating unit 12, or calculate the customer's drinking amount from the customer's current blood alcohol concentration. You may.
  • the estimating unit 12 may include information on the predicted value of blood alcohol concentration for each customer in the drunkenness information. Make it. Further, when the output content determination unit 23 calculates the customer's drinking amount from the current blood alcohol concentration of the customer, for example, the estimation unit 12 adds the alcohol concentration information output from the alcohol concentration information acquisition unit 11 to the drunkenness information. Make sure to include The output content determining unit 23 may determine the blood alcohol concentration of each customer based on the drunkenness information output from the estimating unit 12.
  • the display screens shown in FIGS. 8A, 8B, 8C, and 8D are the display screens that the output content determining unit 23 outputs and displays the output control information to the output device 41 via the output unit 24.
  • the output content determining unit 23 outputs the output control information to the output device 42 and displays a display screen as shown in FIG. 8A, FIG. 8B, FIG. 8C, or FIG. 8D. You may let them.
  • the biological information notification device 2 can inform the store clerk of the customer's drinking status.
  • store staff can detect customers who are likely to drink too much alcohol in the near future.
  • a store clerk can stop serving alcohol to a customer who is likely to drink excessive alcohol in the near future.
  • the output device 42 displays a display screen as shown in FIG. 8A, FIG. 8B, FIG. 8C, or FIG. 100 may be displayed together with information that allows identification.
  • the output content determining unit 23 includes information that can identify the tablet terminal 100 in the output control information. Information that can identify the tablet terminal 100 is stored in advance in a location that can be referenced by the output content determining unit 23.
  • the output content determining unit 23 may have the function of the output unit 24.
  • FIG. 9 is a flowchart for explaining the operation of the biological information notification device 2 according to the first embodiment, which includes the drinking state estimation device 1 according to the first embodiment.
  • the drinking state estimation device 1 and the biological information notification device 2 start operations as shown in the flowchart of FIG.
  • the presence/absence information acquisition unit 21 of the biological information notification device 2 acquires presence/absence information from the seating detection sensor 3 (step ST1).
  • the presence/absence information acquisition unit 21 outputs the acquired presence/absence information to the allocation unit 22.
  • the assignment unit 22 identifies customers based on the presence/absence information outputted from the presence/absence information acquisition unit 21 in step ST1, and assigns a character to each customer (step ST2). When assigning a character, the assignment unit 22 generates assignment information and outputs the assignment information to the output content determination unit 23 and the estimation unit 12 of the drinking state estimation device 1 .
  • the alcohol concentration information acquisition unit 11 of the drinking state estimating device 1 acquires alcohol concentration information indicating the blood alcohol concentration of the customer in the restaurant from the alcohol concentration detection sensor 5 (step ST3). Note that, as described above, the alcohol concentration detection sensor 5 starts measuring the customer's blood alcohol concentration when the ordering unit 62 of the biological information notification device 2 outputs the concentration acquisition start instruction. The alcohol concentration information acquisition unit 11 repeats the process of step ST3 and waits until alcohol concentration information is output from the alcohol concentration detection sensor 5. Although illustration is omitted in the flowchart of FIG. 9, while the operation of the flowchart of FIG. It is stored in the order history storage unit 63 in association with the acquisition date and time of the order history information, and outputs an instruction to start concentration acquisition to the alcohol concentration detection sensor 5.
  • the ordering unit 62 outputs order history information to a server external to the tablet terminal 100.
  • the alcohol concentration information acquisition unit 11 stores the acquired alcohol concentration information in the concentration information storage unit 13 in association with the acquisition date and time of the alcohol concentration information, and outputs it to the estimation unit 12.
  • the estimation unit 12 of the drinking state estimating device 1 estimates the drinking state of the customer, in other words, the degree of drunkenness of the customer after the predicted time, based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit 11 in step ST3.
  • a state estimation process is performed (step ST4).
  • the output content determining unit 23 of the biological information notification device 2 determines the output content based on the degree of drunkenness of the customer after the predicted time estimated by the estimating unit 12 in step ST4, and determines the character assigned by the assigning unit 22. Output control information for displaying in a format corresponding to the output content is generated, and character display processing is performed to output it to the output devices 41 and 42 via the output unit 24 (step ST5). After performing the process of step ST5, the operation of the biological information notification device 2 returns to step ST3.
  • the operation of the biological information notification device 2 may be such that, for example, after the process of step ST5 in FIG. 9, the operation returns to step ST1.
  • the assignment unit 22 determines that the character assigned to the identification number of a certain alcohol concentration detection sensor 5 is the same as the character assigned to that identification number up until then. Do it like this.
  • the allocation unit 22 stores the allocation information created last time and matches the allocation information with the presence/absence information output from the current presence/absence information acquisition unit 21 using the identification number of the alcohol concentration detection sensor 5, , it is possible to identify which character was previously assigned to a certain identification number that was confirmed this time.
  • the biometric information notification device 2 can adjust the position of the character to be displayed according to the change. can be changed.
  • the biological information notification device 2 can make the customer think that the character representing his or her drinking state has also moved as the customer moves in his or her seat. Customers do not have to worry about confusion caused by characters representing their drinking status changing.
  • FIG. 10 is a flowchart for explaining details of the state estimation process by the estimation unit 12 in step ST4 of FIG. 9.
  • the estimating unit 12 refers to the concentration information storage unit 13 and obtains time-series alcohol concentration information for the first period (step ST41).
  • the estimation unit 12 first predicts the predicted value of the customer's blood alcohol concentration after the predicted time based on the alcohol concentration information for the first period. After estimating the predicted value of blood alcohol concentration, the estimation unit 12 estimates the degree of drunkenness of the customer after the predicted time based on the predicted value of blood alcohol concentration (step ST42). The estimation unit 12 generates drunkenness information and outputs the generated drunkenness information to the output content determination unit 23 of the biological information notification device 2.
  • FIG. 11 is a flowchart for explaining details of the character display process by the output content determination unit 23 in step ST5 of FIG. Note that the output content determining unit 23 performs the processing of steps ST51 to ST53 in FIG. 11 for each customer.
  • the output content determining unit 23 first determines, for each customer, whether the degree of drunkenness after the predicted time estimated by the estimating unit 12 of the drinking state estimating device 1 is equal to or higher than the threshold for determining drunkenness (step ST51). .
  • the output content determining unit 23 determines that the degree of drunkenness after the predicted time is equal to or higher than the drinking determination threshold (“YES” in step ST51)
  • the output content determination unit 23 warns the customer that he or she will be in a state of excessive alcohol intake in the near future. I decide to warn you of what is about to happen.
  • the output content determining unit 23 generates output control information for displaying a character in a form that warns the user of excessive alcohol intake in the near future (step ST52).
  • the output content determining unit 23 determines that the degree of drunkenness after the predicted time is less than the threshold for determining drunkenness (“NO” in step ST51), the output content determining unit 23 determines to notify the customer of the drunken state. .
  • the output content determining unit 23 generates output control information for displaying the character in a form corresponding to the degree of drunkenness after the predicted time (step ST53).
  • the output content determining unit 23 outputs the generated output control information to the output unit 24 (step ST54).
  • the output unit 24 outputs the output control information output from the output content determining unit 23 to the output devices 41 and 42.
  • the output devices 41 and 42 display screens based on output control information as shown in FIG. 8A, FIG. 8B, FIG. 8C, or FIG. 8D.
  • the operation shown in the flowchart of FIG. 11 is repeated every time a customer places an order and an instruction to start obtaining the concentration is output from the tablet terminal 100 to the alcohol concentration detection sensor 5. For example, as the amount of alcohol consumed by a customer increases and the customer's blood alcohol concentration increases, the predicted value of the customer's blood alcohol concentration will also increase. As a result, for example, a character used to notify a customer of a customer's drinking status will gradually be displayed in a drunken appearance.
  • the drinking state estimating device 1 is installed on an object that comes into contact with a customer (chopsticks 501 used by the customer), and estimates the customer based on the reflected light that is received by illuminating the customer with light.
  • Alcohol concentration information is acquired from the alcohol concentration detection sensor 5 that measures the blood alcohol concentration of , to estimate the drunkenness level of the customer after the predicted time.
  • the drinking state estimating device 1 can estimate the drinking state of each customer at a restaurant, even if there are a plurality of customers.
  • Examples of methods for estimating a person's drinking state include a method of estimating a person's drinking state based on exhaled breath, as in the prior art described above.
  • the drinking state estimating device 1 does not use the customer's breath when estimating the drinking state of the customer, as described above.
  • the drinking state estimating device 1 is provided on chopsticks 501 used by the customer and comes into contact with the customer, and based on the alcohol concentration information obtained from the alcohol concentration detection sensor 5 that measures the blood alcohol concentration of the customer, In other words, the drunkenness level of the customer after the predicted time is estimated. Therefore, the drinking state estimating device 1 can distinguish the customers and estimate the degree of drunkenness after the predicted time for each customer. That is, the drinking state estimating device 1 can estimate the drinking state of each customer at a restaurant, even if there are a plurality of customers.
  • the drinking state estimating device 1 uses alcohol concentration information obtained from the alcohol concentration detection sensor 5 provided on an object (chopsticks 501) that the customer touches when eating or drinking. Estimate drinking status.
  • the drinking state estimating device 1 can estimate the drinking state of a customer without forcing the customer to perform actions such as blowing exhaled air while eating. Since the customer only needs to have a meal, the drinking state estimating device 1 can estimate the customer's drinking state without stressing the customer.
  • the biological information notification device 2 includes the above-mentioned drinking state estimation device 1, identifies customers based on presence/absence information regarding the presence or absence of customers, and assigns a character to each customer. Then, the biological information notification device 2 determines the output content for the customer based on the customer's degree of drunkenness after the predicted time, and outputs control information for displaying the assigned character in a form according to the determined output content. generate. Specifically, if the customer's degree of drunkenness after the predicted time is equal to or higher than the alcohol determination threshold, the output content determining unit 23 outputs a character in the form of a warning that the customer will be in a state of excessive alcohol intake in the near future.
  • the biological information notification device 2 causes the output devices 41 and 42 to display the character in a form according to the determined output content.
  • the biological information notification device 2 can enable the customer to calmly accept advice regarding the customer's drinking status rather than being warned by others.
  • the biological information notification device 2 can provide information regarding the customer's drinking status to the customer himself or to people around him by giving a warning or notification to the customer through the character in real time. Furthermore, since the biological information notification device 2 provides information to the customer through the character, if the customer is warned through the character, for example, the customer can accept the advice more calmly than when someone else gives the advice.
  • the biometric information notification device 2 when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered, the biometric information notification device 2 is configured to notify the customer of an excessive amount of alcohol. It may be decided to warn customers against excessive alcohol consumption, and a character may be displayed in a form that warns customers against excessive alcohol consumption. For example, if the amount of alcohol ordered is large relative to the number of customers, or if alcohol with a high alcohol content is ordered, there is a possibility that the customers will drink the alcohol in one gulp.
  • FIG. 12 shows that in Embodiment 1, when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered, customers are advised to be careful not to consume excessive alcohol.
  • FIG. 12 shows that in Embodiment 1, when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered, customers are advised to be careful not to consume excessive alcohol.
  • the biometric information notification device 2a is a diagram illustrating a configuration example of a biometric information notification device 2a that has a function of displaying a character in an evocative form.
  • the biometric information notification device 2a includes an order information acquisition unit 25 and an order analysis unit 26 in addition to the configuration example of the biometric information notification device 2 as described using FIG.
  • the order information acquisition section 25 and the order analysis section 26 may be included in the drinking state estimation device 1.
  • the specific operation of the output content determining unit 23a is different from the specific operation of the output content determining unit 23 of the biological information notification device 2 described using FIG.
  • the order information acquisition section 25 refers to the order history storage section 63 and acquires the customer's order history information. For example, the order information acquisition unit 25 acquires information indicating that order history information has been stored in the order history storage unit 63 from the order placement unit 62, and acquires the order history information at the timing when the information is acquired. good. Note that in FIG. 12, the arrow from the order placement unit 62 to the order information acquisition unit 25 is omitted. The order information acquisition unit 25 outputs the acquired order history information to the order analysis unit 26.
  • the order analysis unit 26 analyzes the order details based on the order history information acquired by the order information acquisition unit 25. Specifically, the order analysis unit 26 analyzes the amount of alcohol ordered by the customer or the alcohol content ordered by the customer based on order history information. For example, the order analysis unit 26 holds in advance information (hereinafter referred to as "alcohol product information") in which product names, alcohol quantities, and alcohol content are associated with each other, and is included in the order history information. The amount of alcohol ordered by the customer or the alcohol content ordered by the customer can be analyzed by matching the product name with the alcohol product information. The order analysis unit 26 can also analyze the total amount of alcohol ordered so far, and if multiple orders are made from a certain tablet terminal 100, the order analysis unit 26 can analyze the total amount of alcohol ordered in one order. It can also be analyzed. The order analysis section 26 outputs the analysis result to the output content determination section 23a.
  • the output content determination unit 23a determines that the amount of alcohol ordered is large relative to the number of customers, or that the alcohol content ordered is high. If it is determined, the decision will be made to warn customers against excessive alcohol consumption. Then, the output content determining unit 23a generates output control information for displaying the character in a form that alerts customers to excessive alcohol intake. The output content determining unit 23a may determine whether the total amount of alcohol ordered so far is large or whether the amount of alcohol ordered at one time is large. Note that "the alcohol content is high" as determined by the output content determination unit 23a here assumes that the alcohol content is extremely high. The output content determination unit 23a may determine the number of customers from the allocation information.
  • the output content determining unit 23a outputs the generated output control information to the output devices 41 and 42 via the output unit 24.
  • FIG. 13 is a diagram showing an example of a display screen displayed by the output device 41 based on the output control information for alerting the customer, which is output by the output content determining unit 23a.
  • FIG. 13 shows a display screen of the output device 41, this is only an example, and the output content determining unit 23a outputs the output control information to the output device 42 via the output unit 24. It is also possible to display a display screen as shown in FIG. 13 on the output device 42.
  • each character is displayed in a form that warns against excessive alcohol intake, saying, "Be careful not to drink too much.”
  • FIG. 14 is a flowchart for explaining the operation of the biometric information notification device 2a in the first embodiment when the biometric information notification device is the biometric information notification device 2a having the configuration example shown in FIG. be.
  • the specific operations of steps ST1a to ST2a and steps ST6a to ST8a in FIG. 14 are the same as the specific operations of steps ST1 to ST5 in FIG. 9, which have already been explained using FIG. , duplicate explanations will be omitted.
  • the order information acquisition unit 25 refers to the order history storage unit 63 and acquires the order history information, and then outputs the acquired order history information to the order analysis unit 26.
  • the order analysis unit 26 analyzes the order details based on the order history information acquired by the order information acquisition unit 25 (step ST3a).
  • the order analysis section 26 outputs the analysis result to the output content determination section 23a.
  • the output content determination unit 23a determines whether the amount of alcohol ordered is large relative to the number of customers, or the alcohol content ordered is high. (step ST4a). Based on the analysis results output from the order analysis unit 26, if it is determined that the amount of alcohol ordered is large relative to the number of customers, or if it is determined that the alcohol content of the ordered alcohol is high (step ST4a). In the case of “YES”), the output content determining unit 23a determines to warn the customer against excessive alcohol intake. Then, the output content determining unit 23a generates output control information for displaying the character in a form that alerts the customer to excessive alcohol intake (step ST5a). The output content determining unit 23a outputs the generated output control information to the output devices 41 and 42 via the output unit 24.
  • the output content determining unit 23a determines that the amount of alcohol ordered is not large relative to the number of customers, and the alcohol content of the ordered alcohol is not high. In this case (“NO” in step ST4a), the operation of the biological information notification device 2a proceeds to the process in step ST6a.
  • the process of step ST8a in FIG. 14 returns to step ST3a and the subsequent processes are repeated, but this is only an example.
  • the operation of the biological information notification device 2a may be such that, for example, after the process of step ST8a in FIG. 14, the operation returns to step ST1a.
  • the biological information notification device 2a tells the customer when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered.
  • the character may be displayed in a form that calls attention to excessive alcohol intake.
  • the biological information notification device 2a can provide support to prevent the customer from consuming excessive alcohol.
  • the drinking state estimation device 1 includes a processing circuit 1001 for performing control to estimate the drinking state of the customer based on alcohol concentration information acquired from the alcohol concentration detection sensor 5.
  • the processing circuit 1001 may be dedicated hardware as shown in FIG. 15A, or may be a processor 1004 that executes a program stored in memory as shown in FIG. 15B.
  • the processing circuit 1001 is dedicated hardware, the processing circuit 1001 is, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), or an FPGA (Field-Programmable Circuit). Gate Array), or a combination of these.
  • ASIC Application Specific Integrated Circuit
  • FPGA Field-Programmable Circuit
  • the functions of the alcohol concentration information acquisition section 11 and the estimation section 12 are realized by software, firmware, or a combination of software and firmware.
  • Software or firmware is written as a program and stored in memory 1005.
  • the processor 1004 executes the functions of the alcohol concentration information acquisition section 11 and the estimation section 12 by reading and executing a program stored in the memory 1005. That is, the drinking state estimating device 1 stores a program that, when executed by the processor 1004, results in steps ST3 to ST4 in FIG. 9 and steps ST6a to ST7a in FIG.
  • a memory 1005 is provided for storing the data. Further, it can be said that the program stored in the memory 1005 causes the computer to execute the processing procedure or method of the alcohol concentration information acquisition section 11 and the estimation section 12.
  • the memory 1005 includes, for example, RAM, ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable Read Only Memory), and EEPROM (Electrically). Erasable Programmable Read-Only Memory), etc., non-volatile or volatile This includes semiconductor memory, magnetic disks, flexible disks, optical disks, compact disks, mini disks, DVDs (Digital Versatile Discs), and the like.
  • the functions of the alcohol concentration information acquisition section 11 and the estimation section 12 may be realized by dedicated hardware, and some may be realized by software or firmware.
  • the function of the alcohol concentration information acquisition unit 11 is realized by a processing circuit 1001 as dedicated hardware
  • the function of the estimation unit 12 is realized by a processor 1004 reading and executing a program stored in a memory 1005. It is possible to realize this.
  • the drinking state estimating device 1 also includes devices such as an alcohol concentration detection sensor 5 and an output device 42, as well as an input interface device 1002 and an output interface device 1003 that perform wired or wireless communication.
  • the concentration information storage unit 13 is composed of an HDD (Hard Disk Drive), a memory 1005, a DVD, and the like.
  • FIGS. 15A and 15B An example of the hardware configuration of the biological information notification devices 2 and 2a according to the first embodiment is also as shown in FIGS. 15A and 15B.
  • the functions of the existence information acquisition section 21, the allocation section 22, the output content determination sections 23, 23a, the output section 24, the order information acquisition section 25, and the order analysis section 26 are performed by the processing circuit 1001.
  • the biological information notification devices 2 and 2a include a processing circuit 1001 for controlling the display of characters based on the customer's drinking state estimated by the drinking state estimating device 1.
  • the processing circuit 1001 may be dedicated hardware as shown in FIG. 15A, or may be a processor 1004 that executes a program stored in memory as shown in FIG. 15B.
  • the processing circuit 1001 is dedicated hardware, the processing circuit 1001 is, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), or an FPGA (Field-Programmable Circuit). Gate Array), or a combination of these.
  • ASIC Application Specific Integrated Circuit
  • FPGA Field-Programmable Circuit
  • the functions of the existence information acquisition unit 21, the allocation unit 22, the output content determination units 23, 23a, the output unit 24, the order information acquisition unit 25, and the order analysis unit 26 are implemented by software. , firmware, or a combination of software and firmware.
  • Software or firmware is written as a program and stored in memory 1005.
  • the processor 1004 reads out and executes the program stored in the memory 1005, thereby providing the presence/absence information acquisition section 21, the allocation section 22, the output content determination sections 23 and 23a, the output section 24, and the order information acquisition section 25.
  • the function of the order analysis section 26 is executed. That is, when the biological information notification devices 2 and 2a are executed by the processor 1004, steps ST1 to ST2 and ST5 in FIG.
  • a memory 1005 is provided for storing programs to be executed. Further, the programs stored in the memory 1005 include the processing of the presence/absence information acquisition unit 21, the allocation unit 22, the output content determination units 23, 23a, the output unit 24, the order information acquisition unit 25, and the order analysis unit 26. It can also be said that it causes a computer to execute a procedure or method.
  • the memory 1005 includes, for example, RAM, ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable Read Only Memory), and EEPROM (Electrically). Erasable Programmable Read-Only Memory), etc., non-volatile or volatile This includes semiconductor memory, magnetic disks, flexible disks, optical disks, compact disks, mini disks, DVDs (Digital Versatile Discs), and the like.
  • the functions of the presence/absence information acquisition section 21, the allocation section 22, the output content determination sections 23, 23a, the output section 24, the order information acquisition section 25, and the order analysis section 26 are implemented using dedicated hardware. It may also be realized partially by software or firmware.
  • the functions of the presence/absence information acquisition section 21 and the order information acquisition section 25 are realized by the processing circuit 1001 as dedicated hardware, and the allocation section 22, the output content determination section 23, 23a, the output section 24, The functions of the order analysis section 26 can be realized by the processor 1004 reading and executing a program stored in the memory 1005.
  • the biological information notification devices 2 and 2a include devices such as an alcohol concentration detection sensor 5 and an output device 42, and an input interface device 1002 and an output interface device 1003 that perform wired or wireless communication.
  • the drinking state estimation device 1 and the biological information notification devices 2 and 2a are installed in the tablet terminal 100, but this is only an example.
  • the drinking state estimation device 1 and the biological information notification devices 2 and 2a may be installed in, for example, a server (not shown). Some or all of the alcohol concentration information acquisition unit 11, the estimation unit 12, the existence information acquisition unit 21, the allocation unit 22, the output content determination units 23, 23a, the output unit 24, the order information acquisition unit 25, and the order analysis unit 26 may be installed in the server.
  • the drinking state estimation device 1 is provided in the biological information notification devices 2 and 2a, but this is only an example.
  • the drinking state estimation device 1 may be provided outside the biometric information notification devices 2, 2a, and may be connected to the biometric information notification devices 2, 2a via a network.
  • the drinking state estimating device 1 is installed on an object that comes into contact with a person (customer), and based on the reflected light received by irradiating and reflecting light on the person (customer).
  • An alcohol concentration information acquisition unit 11 that acquires alcohol concentration information indicating the blood alcohol concentration of a person (customer) from an alcohol concentration detection sensor 5 that measures the blood alcohol concentration of the person (customer);
  • the present invention is configured to include an estimating unit 12 that estimates the degree of drunkenness of the person (customer) after the predicted time as the drinking state of the person (customer) based on the alcohol concentration information acquired by the user. Therefore, the drinking state estimating device 1 can estimate the drinking state of each person at a restaurant where alcohol is served, even if there are multiple people.
  • the estimating unit 12 is provided on an object that comes into contact with a person (customer), and based on the reflected light received by irradiating light on the person (customer), Based on the time-series alcohol concentration information for the first period acquired by the alcohol concentration information acquisition unit 11 from the alcohol concentration detection sensor 5 that measures the blood alcohol concentration of , to estimate a person's level of drunkenness after a predicted time. Therefore, the drinking state estimating device 1 can estimate the drinking state of each person at a restaurant where alcohol is served, even if there are multiple people.
  • the biological information notification devices 2 and 2a include the above-mentioned drinking state estimation device 1, a presence information acquisition unit 21 that acquires presence/absence information regarding the presence or absence of a person (customer), and a presence/absence information acquisition unit 21 that acquires an assigning unit 22 that identifies a person (customer) based on presence/absence information and assigns a character to each person (customer); Output content determining units 23, 23a that determine output content and generate output control information for displaying the character assigned by the allocation unit 22 in a form corresponding to the determined output content; and output content determining units 23, 23a.
  • the output unit 24 outputs the output control information generated by the controller. Therefore, the biological information notification devices 2 and 2a use characters to provide information about a person's drinking status, so that the person can calmly accept advice regarding the drinking status rather than being warned by others. can.
  • the output content determination units 23 and 23a determine that when the degree of drunkenness of the person (customer) after the predicted time estimated by the estimation unit 12 is equal to or higher than the threshold for determining alcohol consumption, Output control information for displaying a character in a form that warns a person (customer) of falling into a state of excessive alcohol intake in the near future is generated, and When the degree of drunkenness is less than the threshold for determining drunkenness, output control information for displaying the character in a form corresponding to the degree of drunkenness is generated.
  • the biological information notification devices 2 and 2a provide information regarding the customer's drinking status using characters, thereby allowing the customer to calmly accept advice regarding the customer's drinking status rather than being warned by others.
  • the drinking state estimation system 1000 is installed on an object that comes into contact with a person (customer), and based on the reflected light received by irradiating and reflecting light on the person (customer), the drinking state estimation system 1000
  • An alcohol concentration detection sensor 5 that measures blood alcohol concentration
  • an alcohol concentration information acquisition unit 11 that acquires alcohol concentration information indicating the alcohol concentration of a person (customer) from the alcohol concentration detection sensor 5, and an alcohol concentration information acquisition unit
  • the estimation unit 12 estimates the degree of drunkenness of the person (customer) after the predicted time as the person's drinking state. Therefore, the drinking state estimation system 1000 can estimate the drinking state of each person at a restaurant where alcohol is served, even if there are multiple people.
  • the drinking state estimating device estimates the drinking state of the customer based on the time-series alcohol concentration information for the first period.
  • the drinking state estimating device estimates a customer's drinking state based on time-series alcohol concentration information for a first period and the customer's order history.
  • FIG. 16 is a diagram showing a configuration example of a drinking state estimation system 1000a according to the second embodiment.
  • the configuration example of the drinking state estimation system 1000a shown in FIG. 16 is different from the configuration example of the drinking state estimation system 1000 according to the first embodiment described using FIG. 1 in the specific configuration of the drinking state estimation device 1a. .
  • FIG. 17 is a diagram showing a configuration example of a biological information notification device 2b including a drinking state estimation device 1a according to the second embodiment.
  • the biological information notification device 2b is installed in, for example, a tablet terminal 100a.
  • the tablet terminal 100a in the second embodiment differs from the tablet terminal 100 in the first embodiment in that the installed biometric information notification device is a biometric information notification device 2b, and the rest is the same as the tablet in the first embodiment. It has a similar configuration example to the terminal 100.
  • the configuration example of the biometric information notification device 2b shown in FIG. 17 the same components as the configuration example of the biometric information notification device 2 described in Embodiment 1 using FIG. The explanation will be omitted.
  • FIG. 17 differs from the configuration example of the biological information notification device 2 described using FIG. 4 in the first embodiment in the configuration example of the drinking state estimation device 1a.
  • the configuration example of the drinking state estimation device 1a shown in FIG. 17 is different from the configuration example of the drinking state estimation device 1 explained using FIG. The points are different.
  • the specific operation of the estimating section 12a is different from the specific operation of the estimating section 12 of the drinking state estimating device 1 according to the first embodiment.
  • the function of the order information acquisition section 14 is similar to the function of the order information acquisition section 25 already explained in the first embodiment, so a duplicate explanation will be omitted.
  • the functions of the order analysis section 15 are similar to those of the order analysis section 26 already explained in Embodiment 1, so a duplicate explanation will be omitted.
  • the order analysis section 15 outputs the analysis result to the estimation section 12a.
  • the estimation unit 12a determines the customer's drinking state based on the time-series alcohol concentration information for the first period acquired by the alcohol concentration information acquisition unit 11 and the analysis result of the order content analyzed by the order analysis unit 15. For example, the degree of drunkenness of the customer after the predicted time is estimated. Note that the estimation unit 12a estimates the drinking state of each customer.
  • Embodiment 2 some specific methods are described in which the estimation unit 12a of the drinking state estimating device 1a estimates the drinking state of the customer based on the time-series alcohol concentration information for the first period and the analysis result of the order contents.
  • the estimation unit 12a of the drinking state estimating device 1a estimates the drinking state of the customer based on the time-series alcohol concentration information for the first period and the analysis result of the order contents.
  • the estimating unit 12a determines that the frequency of orders for alcohol in the first period is on the increase, based on the predicted value of the customer's blood alcohol concentration after the prediction time predicted based on the time-series alcohol concentration information for the first period. Alternatively, if the amount of alcohol ordered in one order increases, the value is increased and the drunkenness level of the customer after the predicted time is estimated. In this case, the analysis result output from the order analysis unit 15 only needs to include information about the frequency of alcohol orders in the first period or the amount of alcohol for each order made in the first period. .
  • the estimation unit 12a first predicts the predicted value of the customer's blood alcohol concentration after the predicted time based on the time-series alcohol concentration information for the first period. Note that the estimation unit 12a calculates the blood alcohol concentration of the customer after the prediction time using a method similar to the method of predicting the blood alcohol concentration of the customer after the prediction time by the estimation unit 12, which has already been explained in the first embodiment. It is sufficient to predict the predicted value of . Next, if the frequency of alcohol orders in the first period is on an increasing trend or the amount of alcohol ordered in one order has increased, the estimation unit 12a calculates a predicted value of the blood alcohol concentration. Make it bigger.
  • the conditions for increasing the value are determined in advance by an administrator or the like, and are held by the estimating unit 12a. Then, the estimation unit 12a estimates the degree of drunkenness of the customer after the predicted time based on the predicted value of the blood alcohol concentration after increasing (hereinafter referred to as "post-increasing predicted value"). Note that the estimating unit 12a calculates the predicted value of the blood alcohol concentration after the increase using a method similar to the method of estimating the degree of drunkenness based on the predicted value of the alcohol concentration by the estimating unit 12, which has already been explained in the first embodiment. It is sufficient to estimate the degree of drunkenness based on the following. The estimation unit 12a outputs drunkenness information regarding the degree of drunkenness of the customer after the estimated predicted time to the output content determining unit 23.
  • the estimation unit 12a increases the predicted value of the customer's blood alcohol concentration based on the order history, based on the possibility that the predicted value of the customer's blood alcohol concentration at the present moment is predicted to be small. Estimate the level of drunkenness of subsequent guests.
  • the estimation unit 12a can estimate the degree of drunkenness of the customer after the predicted time more in accordance with the current situation. As a result, the drinking state estimating device 1a can quickly warn the biological information notifying device 2b if the customer is about to drink too much alcohol.
  • ⁇ Specific example 2> Contrary to the case assumed in ⁇ Specific Example 1>, for example, a customer may start refraining from drinking alcohol halfway through eating and drinking. If the frequency of alcohol orders tends to decrease, or if the amount of alcohol ordered per order decreases, the customer's blood alcohol concentration may gradually decrease. Then, the actual blood alcohol concentration of the customer after the predicted time will be lower than the predicted value of the customer's blood alcohol concentration after the predicted time, which is currently predicted from the alcohol concentration information for the first period. It is assumed that Therefore, based on the order history, the estimated value of the blood alcohol concentration of the customer at the present time may be predicted to be large, and after reducing the predicted value, the estimating unit 12a Estimate the degree of drunkenness of the customer.
  • the conditions for reducing the size are determined in advance by an administrator or the like, and are held by the estimation unit 12a. Thereby, the estimation unit 12a can estimate the degree of drunkenness of the customer after the predicted time more in accordance with the current situation.
  • the estimating unit 12a determines that the predicted value of the blood alcohol concentration of the customer after the predicted time predicted based on the time-series alcohol concentration information for the first period, the alcohol concentration is a threshold value (hereinafter referred to as "first alcohol concentration threshold value"). ) or more is ordered, the value is increased and the customer's degree of drunkenness after the predicted time is estimated.
  • the analysis result output from the order analysis section 15 only needs to include information on the alcohol content of the ordered alcohol.
  • the first frequency determination threshold can be set as appropriate by an administrator or the like.
  • the estimation unit 12a first predicts the predicted value of the customer's blood alcohol concentration after the predicted time based on the time-series alcohol concentration information for the first period. do. Next, when alcohol whose alcohol content is equal to or higher than the first alcohol determination threshold is ordered, the estimation unit 12a increases the predicted value of the blood alcohol concentration. Note that the conditions for determining how much the predicted value should be increased when alcohol with a higher alcohol content than the first alcohol content determination threshold is ordered are determined in advance by the administrator or the like, and are held by the estimating unit 12a. Then, the estimation unit 12a estimates the degree of drunkenness of the customer after the predicted time based on the predicted value after increasing the blood alcohol concentration. The estimating unit 12a outputs drunkenness information regarding the estimated degree of drunkenness to the output content determining unit 23.
  • a customer may change the alcohol they drink to a higher alcohol type during a meal. If alcohol whose alcohol content is equal to or higher than the first alcohol determination threshold is ordered, there is a possibility that the customer's blood alcohol concentration will increase rapidly in the future. Then, the actual blood alcohol concentration of the customer after the predicted time is higher than the predicted value of the customer's blood alcohol concentration after the predicted time, which is currently predicted from the alcohol concentration information for the first period. It is assumed that Therefore, the estimating unit 12a increases the predicted value based on the order history, based on the possibility that the predicted value of the customer's blood alcohol concentration at the present moment is predicted to be small, and then increases the predicted value after the predicted time. Estimate the degree of drunkenness of the customer.
  • the estimation unit 12a can estimate the degree of drunkenness of the customer after the predicted time more in accordance with the current situation. As a result, the drinking state estimating device 1a can quickly warn the biological information notifying device 2b if the customer is about to drink too much alcohol.
  • ⁇ Specific example 4> Contrary to the case assumed in ⁇ Specific Example 3>, for example, a customer may change the alcohol they drink to a lower alcohol type during the meal. In this case, there is a possibility that the customer's blood alcohol concentration will gradually decrease. Then, the actual blood alcohol concentration of the customer after the predicted time will be lower than the predicted value of the customer's blood alcohol concentration after the predicted time, which is currently predicted from the alcohol concentration information for the first period. It is assumed that Therefore, when alcohol whose alcohol content is less than a preset threshold (hereinafter referred to as "second alcohol content determination threshold”) is ordered, the estimation unit 12a increases the predicted value of the blood alcohol concentration.
  • the second frequency determination threshold can be set as appropriate by an administrator or the like.
  • the conditions for determining how much the predicted value should be reduced when alcohol with a lower alcohol content than the second alcohol content determination threshold is ordered are determined in advance by the administrator or the like, and are held by the estimating unit 12a.
  • the estimation unit 12a Based on the order history, the estimation unit 12a reduces the predicted value of the customer's blood alcohol concentration at the present time, based on the possibility that the predicted value of the blood alcohol concentration of the customer at the present time is large, and calculates the predicted value of the customer's blood alcohol concentration after the predicted time. Estimate the level of drunkenness. Thereby, the estimation unit 12a can estimate the degree of drunkenness of the customer after the predicted time more in accordance with the current situation.
  • the estimating unit 12a calculates the predicted value of the blood alcohol concentration of the customer after the predicted time predicted based on the time-series alcohol concentration information for the first period. If the degree of increase in blood alcohol concentration during the period is greater than or equal to the reference value, the value is increased and the customer's degree of drunkenness after the predicted time is estimated. In this case, the analysis result output from the order analysis unit 15 only needs to include information on the total amount of alcohol ordered in the first period.
  • the standard value is set by an administrator or the like with reference to the rate of alcohol decomposition in a typical person.
  • the estimation unit 12a first predicts the predicted value of the customer's blood alcohol concentration after the predicted time based on the time-series alcohol concentration information for the first period. do. Next, the estimating unit 12a determines whether the degree of increase in blood alcohol concentration in the first period relative to the total amount of alcohol ordered in the first period is equal to or higher than a reference value. For example, if there are multiple customers, the estimating unit 12a assumes that the multiple customers have consumed alcohol equally, and calculates the total amount of alcohol divided by the number of customers and the blood alcohol concentration of all the customers.
  • the estimation unit 12a compares the amount of alcohol obtained by dividing the total amount of alcohol by the number of customers and the degree of increase in blood alcohol concentration of the customer whose blood alcohol concentration has increased the most. It may be determined whether the degree of increase in blood alcohol concentration in the first period relative to the total amount of alcohol ordered in one period is equal to or higher than a reference value.
  • the estimation unit 12a increases the predicted value of the predicted blood alcohol concentration. Note that the conditions for how much the predicted value should be increased when the degree of increase in the blood alcohol concentration relative to the total amount of alcohol ordered is greater than the reference value are determined in advance by the administrator, etc., and the estimation unit 12a is held. Then, the estimation unit 12a estimates the degree of drunkenness of the customer after the predicted time based on the predicted value after increasing the blood alcohol concentration. The estimating unit 12a outputs drunkenness information regarding the degree of drunkenness of the customer after the estimated predicted time to the output content determining unit 23.
  • the rate at which alcohol is broken down in the body varies from person to person. For example, even if some people consume the same amount of alcohol as others, their blood alcohol concentration increases more rapidly than others, that is, some people break down alcohol at a slower rate. If the customer is a person whose body decomposes alcohol at a slow rate, it is assumed that it is better to warn the customer as early as possible that he or she will end up in a state of excessive alcohol consumption in the near future. Therefore, the estimating unit 12a increases the predicted value of the customer's blood alcohol concentration at the current time, and then estimates the customer's degree of drunkenness.
  • the degree of drunkenness of the customer after the predicted time is estimated to be large, and as a result, the output content determining unit 23 determines that the customer will be in a state of excessive alcohol intake in the near future. If you warn that something is about to happen, the timing of the decision will be accelerated.
  • the estimating unit 12a can estimate the degree of drunkenness of the customer after the predicted time by taking into consideration the customer's constitution. As a result, the drinking state estimating device 1a causes the biological information notifying device 2b to give an early warning to the customer who is assumed to be in a state of excessive alcohol consumption in the near future. be able to.
  • ⁇ Specific example 4> Contrary to the case assumed in ⁇ Specific Example 3>, for example, even if a person ingests the same amount of alcohol as other people, the blood alcohol concentration increases more slowly than other people, i.e. , some people break down alcohol faster. If the customer is a person whose body decomposes alcohol quickly, it is assumed that there is no problem in delaying the timing of the warning that the customer will be in a state of excessive alcohol consumption in the near future. Therefore, for example, the estimating unit 12a calculates the predicted value of the blood alcohol concentration of the customer after the predicted time predicted based on the time-series alcohol concentration information for the first period, relative to the total amount of alcohol ordered in the first period.
  • the value may be reduced and the drunkenness level of the customer after the predicted time may be estimated. Note that the conditions for how small the predicted value should be when the degree of increase in blood alcohol concentration relative to the total amount of alcohol ordered is smaller than the reference value are determined in advance by the administrator, etc., and the estimation unit 12a is held.
  • the degree of drunkenness of the customer after the predicted time is estimated to be small, and as a result, the output content determining unit 23 determines that the customer will be in a state of excessive alcohol intake in the near future. If you warn that something is going to happen, the timing of the decision will be delayed.
  • the estimating unit 12a can estimate the degree of drunkenness of the customer after the predicted time by taking into account the customer's constitution. As a result, the drinking state estimating device 1a sends a warning to the biological information notifying device 2b that the customer will be warned about excessive alcohol consumption in the near future. It is possible to give a warning.
  • FIG. 18 is a flowchart for explaining the operation of the biological information notification device 2b according to the second embodiment, which includes the drinking state estimation device 1b according to the second embodiment.
  • the drinking state estimation device 1a and the biological information notification device 2b start operations as shown in the flowchart of FIG. 18.
  • the specific operations in steps ST11 and ST12 in FIG. 18 are the same as the specific operations in steps ST1 and ST2 in FIG. 9, which have already been explained in Embodiment 1. Omitted.
  • the order information acquisition unit 14 of the drinking state estimation device 1a refers to the order history storage unit 63 and acquires the order history information, and then outputs the acquired order history information to the order analysis unit 15.
  • the order analysis unit 15 analyzes the order details based on the order history information acquired by the order information acquisition unit 14 (step ST13).
  • the alcohol concentration information acquisition unit 11 of the drinking state estimating device 1a acquires alcohol concentration information indicating the blood alcohol concentration of the customer in the restaurant from the alcohol concentration detection sensor 5 (step ST14).
  • the alcohol concentration information acquisition unit 11 repeats the process of step ST14 and waits until alcohol concentration information is output from the alcohol concentration detection sensor 5.
  • illustration is omitted in the flowchart of FIG. 18, while the operation of the flowchart of FIG. It is stored in the order history storage unit 63 in association with the acquisition date and time of the order history information, and outputs an instruction to start concentration acquisition to the alcohol concentration detection sensor 5.
  • the alcohol concentration information acquisition unit 11 stores the acquired alcohol concentration information in the concentration information storage unit 13 in association with the acquisition date and time of the alcohol concentration information, and outputs it to the estimation unit 12b.
  • the estimation unit 12a of the drinking state estimation device 1a estimates the drinking state of the customer, in other words, the degree of drunkenness of the customer after the predicted time based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit 11 in step ST14.
  • a state estimation process is performed (step ST15).
  • the output content determining unit 23 of the biological information notification device 2b determines the output content based on the degree of drunkenness of the customer after the predicted time estimated by the estimating unit 12a in step ST14, and determines the character assigned by the assigning unit 22. Output control information for displaying in a format corresponding to the output content is generated, and character display processing is performed to output it to the output devices 41 and 42 via the output unit 24 (step ST16). After performing the process of step ST16, the operation of the biological information notification device 2b returns to step ST13.
  • the biometric information notifying device 2b like the biometric information notifying device 2 according to the first embodiment, assumes that the position of the chopsticks 501, in other words, the position of the alcohol concentration detection sensor 5 has changed due to the change of seats between customers. Also, the position of the character to be displayed can be changed in accordance with the change.
  • the biological information notification device 2 can make the customer think that the character representing his or her drinking status has also moved as the customer's seat has moved. Customers do not need to be confused by the change of characters representing their drinking status.
  • step ST13 and step ST14 the processing is performed in the order of step ST13 and step ST14, but this is only an example.
  • the order of the processing in step ST13 and the processing in step ST14 may be reversed, or the processing in step ST13 and the processing in step ST14 may be performed in parallel.
  • FIG. 19 is a flowchart for explaining details of the state estimation process by the estimator 12a in step ST15 of FIG. 18.
  • the estimation unit 12a refers to the concentration information storage unit 13 and obtains time-series alcohol concentration information for the first period (step ST151).
  • the estimation unit 12a first predicts the predicted value of the customer's blood alcohol concentration after the predicted time based on the time-series alcohol concentration information for the first period. Once the estimation unit 12a predicts the predicted value of the blood alcohol concentration, the estimation unit 12a estimates the predicted value of the blood alcohol concentration based on the predicted value of the blood alcohol concentration and the analysis result of the order content analyzed by the order analysis unit 15 in step ST13 of FIG. The degree of drunkenness of the customer after the predicted time is estimated (step ST152).
  • FIG. 20 is a flowchart for explaining details of the character display process by the output content determination unit 23 in step ST16 of FIG. 18.
  • the specific operations of steps ST51a to ST54a in FIG. 20 are the same as steps ST51 to ST54 in FIG. 11, which have already been explained in Embodiment 1, so a duplicate explanation will be omitted.
  • the drinking state estimating device 1a analyzes the order content based on the order history information, and makes a prediction based on the time-series alcohol concentration information for the first period and the analysis result of the order content. To estimate the degree of drunkenness of a customer after hours. As a result, the drinking state estimating device 1a can estimate the degree of drunkenness of the customer after the predicted time based only on time-series alcohol concentration information. By taking into account the degree of alcohol consumed or the rate of alcohol decomposition in the customer's body, it is possible to estimate the customer's degree of drunkenness after a predicted time that is more in line with the current situation.
  • the output content determination unit 23 of the biological information notification device 2b determines that the current blood alcohol concentration of the customer is a threshold value (hereinafter referred to as “current value”) based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit 11. If it is determined that the alcohol consumption exceeds the alcohol concentration determination threshold (referred to as "Concentration Judgment Threshold”), regardless of the customer's drinking state estimated by the estimation unit 12 of the drinking state estimating device 1, the customer will be in a state of excessive alcohol consumption in the near future. It is also possible to generate output control information for displaying a character in a form that warns the customer that he or she will be in a state of excessive alcohol consumption in the near future.
  • the current concentration determination threshold value can be set as appropriate by an administrator or the like.
  • the current concentration determination threshold is set to, for example, a blood alcohol concentration value that indicates that the person is already in a state of excessive alcohol intake and should urgently refrain from drinking alcohol.
  • the output content determining unit 23 may acquire the alcohol concentration information acquired by the alcohol concentration information acquiring unit 11 via the estimating unit 12a.
  • the configuration example of the biometric information notification device 2b in this case is the same as the configuration example of the biometric information notification device 2b shown in FIG. 17.
  • the specific operation of the biometric information notification device 2b in this case is the same as the specific operation of the biometric information notification device 2b described in the second embodiment using the flowchart of FIG.
  • the processing details are different.
  • details of the process of step ST16 in FIG. 18, which is different from the specific operation of the biological information notification device 2b already explained in the second embodiment above, will be explained.
  • FIG. 21 shows that in the second embodiment, when the output content determining unit 23 of the biological information notification device 2b determines that the current blood alcohol concentration of the customer exceeds the current concentration determination threshold
  • 12 is a flowchart illustrating details of character display processing by the output content determining unit 23 in a case where it is determined to issue a warning that the user will be in a state of excessive alcohol intake in the near future.
  • the output content determination unit 23 determines that the customer's current blood alcohol concentration exceeds the current concentration determination threshold, a warning is issued to the customer regardless of the customer's drinking state estimated by the estimation unit 12.
  • the biological information notification device 2b performs the operation shown in the flowchart of FIG. 21 instead of the operation shown in FIG. In the operation shown in the flowchart of FIG.
  • step ST51a-1 the process of step ST51a-1 is added compared to the operation shown in the flowchart of FIG.
  • the specific operations in steps ST51a to ST54a in FIG. 21 are the same as the specific operations in steps ST51a to ST54a in FIG. 20, which have already been explained.
  • step ST51a-1 the output content determination unit 23 determines whether the customer's current blood alcohol concentration exceeds the current concentration determination threshold (step ST51a-1). If it is determined that the current blood alcohol concentration of the customer exceeds the current concentration determination threshold (“YES” in step ST51a-1), the operation of the output content determining unit 23 proceeds to the processing in step ST52a. . If it is determined that the current blood alcohol concentration of the customer does not exceed the current concentration determination threshold (“NO” in step ST51a-1), the operation of the output content determining unit 23 proceeds to the processing in step ST51a. .
  • the drinking state estimating device 1a estimates the drinking state of the customer in consideration of the order history, as described above. Therefore, depending on the contents of the order history, the drinking state estimating device 1a may predict the customer's drunkenness level after the predicted time to be low. For example, as a result of considering the order history, the drinking state estimating device 1a assumes that since the customer has ordered alcohol with a low alcohol content, this order status will continue until the predicted time elapses, and the predicted time The predicted value of the blood alcohol concentration of subsequent customers may be reduced. As a result, the drinking state estimating device 1a predicts the customer's drunkenness level after the predicted time to be low.
  • the system may warn the customer that he or she will drink too much alcohol in the near future, regardless of the customer's drinking state, or in other words, without considering the order history.
  • the biological information notification device 2b provides the following information to the customer when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered. It may be decided to warn customers against excessive alcohol consumption, and a character may be displayed in a form that warns customers against excessive alcohol consumption.
  • FIG. 22 shows that in Embodiment 2, when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered, customers are advised to be careful not to consume excessive alcohol. It is a figure which shows the example of a structure of the biological information notification apparatus 2c in the case where it has the function of displaying a character in the form which carries out evocation.
  • the specific operation of the output content determining unit 23a in the biological information notification device 2c is different from the specific operation of the output content determining unit 23 of the biological information notification device 2b explained using FIG. 17. different.
  • the function of the output content determining unit 23a is the same as that of the output content determining unit 23a (see FIG. 12) included in the biological information notification device 2a, which has already been explained in Embodiment 1, so a duplicate explanation will be omitted.
  • the output content determination unit 23a obtains the analysis result from the order analysis unit 15 of the drinking state estimation device 1a.
  • the output content determination unit 23a determines that the amount of alcohol ordered is large relative to the number of customers, or that the alcohol content ordered is high. If it is determined, the decision will be made to warn customers against excessive alcohol consumption. Then, the output content determining unit 23a generates output control information for displaying a display screen for calling attention as shown in FIG. 13, and outputs it to the output devices 41 and 42 via the output unit 24.
  • FIG. 23 is a flowchart for explaining the operation of the biometric information notification device 2c in the second embodiment when the biometric information notification device 2c has the configuration example shown in FIG. be.
  • the specific operations of steps ST11a to ST13a and steps ST16a to ST18a in FIG. 23 are the same as the specific operations of steps ST11 to ST16 in FIG. 18, which have already been explained using FIG. 18, respectively. , duplicate explanations will be omitted. Further, since the specific operations in steps ST14a to ST15a in FIG. 23 are similar to the specific operations in steps ST4a to ST5a in FIG. 14, which have already been explained in Embodiment 1, the The explanation will be omitted.
  • step ST14a the output content determination unit 23a determines whether the amount of alcohol ordered is large relative to the number of customers, or whether the amount of alcohol ordered is large based on the analysis result output from the order analysis unit 15 in step ST13a. Determine whether the alcohol content is high.
  • the operation of the biological information notification device 2c after the process of step ST18a in FIG. 23, the process returns to step ST13a and the subsequent processes are repeated, but this is only an example.
  • the operation of the biological information notification device 2c may be such that, for example, after the process of step ST18a in FIG. 23, the operation returns to step ST11a.
  • the biological information notification device 2c tells the customer when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered.
  • the character may be displayed in a form that calls attention to excessive alcohol intake.
  • the biological information notification device 2c can provide support to prevent the customer from consuming excessive alcohol.
  • the hardware configuration of the drinking state estimating device 1a according to the second embodiment is the same as the hardware configuration of the drinking state estimating device 1 described using FIGS. 15A and 15B in the first embodiment, so illustration thereof is omitted. do.
  • the functions of the alcohol concentration information acquisition section 11, the estimation section 12a, the order information acquisition section 14, and the order analysis section 15 are realized by the processing circuit 1001. That is, the drinking state estimating device 1a includes a processing circuit 1001 for performing control to estimate the drinking state of the customer based on the alcohol concentration information acquired from the alcohol concentration detection sensor 5 and the order history.
  • the processing circuit 1001 executes the functions of the alcohol concentration information acquisition section 11, the estimation section 12a, the order information acquisition section 14, and the order analysis section 15 by reading and executing the program stored in the memory 1005. That is, when the drinking state estimating device 1a is executed by the processing circuit 1001, steps ST13 to ST15 in FIG. 18 and steps ST13a and ST16a to ST17a in FIG. A memory 1005 is provided for storing a program. It can also be said that the program stored in the memory 1005 causes the computer to execute the procedures or methods of the alcohol concentration information acquisition section 11, the estimation section 12a, the order information acquisition section 14, and the order analysis section 15.
  • the drinking state estimating device 1a also includes devices such as an alcohol concentration detection sensor 5 and an output device 42, as well as an input interface device 1002 and an output interface device 1003 that perform wired or wireless communication. Further, the concentration information storage unit 13 includes an HDD (Hard Disk Drive), a memory 1005, a DVD, and the like.
  • HDD Hard Disk Drive
  • FIGS. 15A and 15B An example of the hardware configuration of the biological information notification devices 2b and 2c according to the second embodiment is also as shown in FIGS. 15A and 15B.
  • the functions of the existence information acquisition section 21, the allocation section 22, the output content determination sections 23 and 23a, and the output section 24 are realized by the processing circuit 1001. That is, the biological information notification devices 2b and 2c include a processing circuit 1001 for controlling the display of characters based on the drinking state of the customer estimated by the drinking state estimation device 1a.
  • the processor 1004 executes the functions of the existence information acquisition section 21, the allocation section 22, the output content determination sections 23 and 23a, and the output section 24 by reading and executing the program stored in the memory 1005. That is, when the biological information notification devices 2b and 2c are executed by the processor 1004, the steps ST11 to ST12 and ST16 in FIG. 18, steps ST11a to ST12a, ST14a to ST15a, and The ST 18a includes a memory 1005 for storing a program that will eventually be executed. Furthermore, the program stored in the memory 1005 causes the computer to execute the processing procedures or methods of the presence/absence information acquisition unit 21, the allocation unit 22, the output content determination units 23, 23a, and the output unit 24. I can say that.
  • the biological information notification devices 2b and 2c include devices such as an alcohol concentration detection sensor 5 and an output device 42, as well as an input interface device 1002 and an output interface device 1003 that perform wired or wireless communication.
  • the drinking state estimation device 1a and the biological information notification devices 2b and 2c are installed in the tablet terminal 100a, but this is only an example.
  • the drinking state estimation device 1a and the biological information notification devices 2b and 2c may be installed in, for example, a server (not shown). Some or all of the alcohol concentration information acquisition unit 11, the estimation unit 12a, the order information acquisition unit 14, the order analysis unit 15, the presence/absence information acquisition unit 21, the allocation unit 22, the output content determination units 23 and 23a, and the output unit 24 may be installed in the server.
  • the drinking state estimation device 1a is provided in the biological information notification devices 2b and 2c, but this is only an example.
  • the drinking state estimation device 1a may be provided outside the biometric information notification devices 2b, 2c, and may be connected to the biometric information notification devices 2b, 2c via a network.
  • the drinking state estimating device 1a is installed on an object that comes into contact with a person (customer), and based on the reflected light received by illuminating the person (customer) with light,
  • An alcohol concentration information acquisition unit 11 that acquires alcohol concentration information indicating the blood alcohol concentration of a person (customer) from an alcohol concentration detection sensor 5 that measures the blood alcohol concentration of the person (customer);
  • an estimating unit 12a that estimates the degree of drunkenness of a person (customer) after a predicted time based on alcohol concentration information acquired by the person (customer) as the drinking state of the person; and an ordering unit that acquires order history information regarding the order history of the person (customer).
  • the estimation unit 12a includes an information acquisition unit 14 and an order analysis unit 15 that analyzes the order contents based on the order history information acquired by the order information acquisition unit 14, and the estimation unit 12a includes the first period acquired by the alcohol concentration information acquisition unit 11.
  • the system is configured to estimate the drunkenness level of the person (customer) after the predicted time based on time-series alcohol concentration information for minutes and the analysis result of the order contents analyzed by the order analysis section 15. Therefore, the drinking state estimating device 1a can estimate the drinking state of each person at a restaurant where alcohol is served, even if there are multiple people.
  • the drinking state estimating device 1a is capable of estimating the alcohol order frequency, the amount of alcohol per order, and the amount of alcohol ordered, compared to the case where the drunkenness level of the customer after the predicted time is estimated from only time-series alcohol concentration information.
  • the degree of alcohol that has been used By taking into account the degree of alcohol that has been used, the rate of alcohol decomposition in the customer's body, etc., it is possible to estimate the customer's degree of drunkenness after a predicted time that is more in line with the current situation.
  • the drinking state estimating device estimates the drinking state of the customer based on the time-series alcohol concentration information and order history for the first period.
  • an embodiment will be described in which a drinking state estimating device estimates a customer's drinking state based on current alcohol concentration information and the customer's order history.
  • FIG. 24 is a diagram illustrating a configuration example of a drinking state estimation system 1000b according to the third embodiment.
  • the configuration example of the drinking state estimation system 1000b shown in FIG. 24 differs from the configuration example of the drinking state estimation system 1000a according to the second embodiment described using FIG. 16 in the specific configuration of the drinking state estimation device 1b. .
  • FIG. 25 is a diagram showing a configuration example of a biological information notification device 2d including a drinking state estimation device 1b according to the third embodiment.
  • the biological information notification device 2d is installed in, for example, the tablet terminal 100b.
  • the tablet terminal 100b in Embodiment 3 differs from the tablet terminal 100a in Embodiment 2 in that the installed biometric information notification device is a biometric information notification device 2d, and the rest is the same as the tablet in Embodiment 2. It has a similar configuration example to the terminal 100a.
  • the configuration example of the biometric information notification device 2d shown in FIG. 25 the same components as the configuration example of the biometric information notification device 2b explained using FIG. The explanation will be omitted.
  • the configuration example of the drinking state estimation device 1b shown in FIG. 25 differs from the configuration example of the drinking state estimation device 1a described using FIG. 17 in the second embodiment in that it does not include the concentration information storage unit 13. .
  • the specific operation of the estimating section 12b is different from the specific operation of the estimating section 12a of the drinking state estimating device 1a according to the second embodiment.
  • the estimation unit 12a uses time-series alcohol concentration information for the first period as the alcohol concentration information used when estimating the degree of drunkenness of the customer after the predicted time.
  • the estimating unit 12b uses the current alcohol concentration information as the alcohol concentration information used when estimating the degree of drunkenness of the customer after the predicted time.
  • the estimation unit 12b only needs to acquire the current alcohol concentration information from the alcohol concentration information acquisition unit 11 and does not need to refer to the concentration information storage unit 13.
  • the estimation unit 12b requires the analysis result of the order content by the order analysis unit 15 in order to estimate the degree of drunkenness of the customer after the predicted time.
  • the estimation unit 12b requires the analysis result of the amount of alcohol ordered by the customer by the order analysis unit 15.
  • the estimating unit 12b determines the drinking state of the customer based on the alcohol concentration information indicating the current blood alcohol concentration of the customer acquired by the alcohol concentration information acquisition unit 11 and the analysis result of the order content analyzed by the order analysis unit 15. In other words, the degree of drunkenness of the customer after the predicted time is estimated. Note that the estimation unit 12b estimates the degree of drunkenness after the predicted time for each customer.
  • a method for estimating the drunkenness level of the customer after the predicted time by the estimation unit 12b in the drinking state estimating device 1b according to the third embodiment will be described using some specific examples.
  • the estimation unit 12b determines the current blood alcohol concentration of the customer from the alcohol concentration information acquired from the alcohol concentration information acquisition unit 11. Then, the estimating unit 12b predicts a predicted value of the customer's blood alcohol concentration after the predicted time from the current blood alcohol concentration of the customer and the amount of alcohol ordered. Note that it is assumed that it is known in advance how much alcohol to ingest to increase the blood alcohol concentration after the predicted time. For example, the estimation unit 12b inputs the blood alcohol concentration and the amount of alcohol consumed, and uses a machine learning model that outputs a predicted value of the blood alcohol concentration after a prediction time to determine the customer's blood alcohol concentration and the ordered amount. The predicted value of the customer's blood alcohol concentration after the predicted time may be predicted by inputting the amount of alcohol.
  • the estimation unit 12b can determine the amount of alcohol ordered by the customer from the analysis result output from the order analysis unit 15.
  • the analysis result include the amount of alcohol ordered by multiple customers. Therefore, for example, the estimation unit 12b calculates the amount of alcohol ordered per customer by dividing the amount of alcohol ordered included in the analysis result by the number of people, and calculates the amount of alcohol ordered per customer based on the calculated order amount.
  • the predicted value of the blood alcohol concentration of the customer may be predicted.
  • the estimation unit 12b estimates the degree of drunkenness of the customer after the predicted time from the predicted value.
  • the estimation unit 12b may estimate the degree of drunkenness of the customer after the predicted time, for example, from the predicted value and the information for estimating the degree of drunkenness (see FIG. 7).
  • the estimation unit 12b holds information for estimating the degree of drunkenness.
  • the estimating unit 12b outputs drunkenness information regarding the degree of drunkenness of the customer after the estimated predicted time to the output content determining unit 23.
  • the estimation unit 12b calculates the first If the frequency of alcohol orders during the period tends to increase, or if the amount of alcohol ordered in one order increases, increase the value and calculate the degree of drunkenness of the customer after the predicted time. It may be estimated.
  • the analysis results output from the order analysis unit 15 include, in addition to information on the amount of alcohol ordered, the frequency of alcohol orders in the first period, or the number of alcohol orders made in the first period. It suffices if it contains the same amount of information.
  • the estimation unit 12b estimates the degree of drunkenness of the customer after the predicted time based on the predicted value of the blood alcohol concentration after the increase.
  • the estimating unit 12b outputs drunkenness information regarding the degree of drunkenness of the customer after the estimated predicted time to the output content determining unit 23. Thereby, the estimation unit 12b can estimate the degree of drunkenness of the customer after the predicted time more in accordance with the current situation. As a result, the drinking state estimating device 1b can quickly warn the biological information notifying device 2d if the customer is about to drink too much alcohol.
  • the estimation unit 12b when the estimation unit 12b predicts the predicted value of the customer's blood alcohol concentration after the prediction time from the current blood alcohol concentration of the customer and the amount of alcohol ordered, the estimation unit 12b Regarding the value, if the frequency of alcohol orders in the first period tends to decrease, or if the amount of alcohol ordered in one order decreases, the value will be reduced and The degree of drunkenness of the customer may be estimated (see ⁇ Specific Example 2> of Embodiment 2). Thereby, the estimation unit 12b can estimate the degree of drunkenness of the customer after the predicted time more in accordance with the current situation.
  • the estimation unit 12b calculates the degree of alcohol consumption for the predicted value. If alcohol with a value equal to or higher than the first alcohol determination threshold is ordered, the value may be increased and the customer's drinking state, in other words, the degree of drunkenness, may be estimated. In this case, the analysis result output from the order analysis unit 15 only needs to include information on the alcohol content ordered, in addition to information on the amount of alcohol ordered.
  • the estimation unit 12b estimates the degree of drunkenness of the customer after the predicted time based on the predicted value of the blood alcohol concentration after the increase.
  • the estimation unit 12b outputs drunkenness information regarding the degree of drunkenness of the customer after the estimated predicted time to the output content determining unit 23. Thereby, the estimation unit 12b can estimate the degree of drunkenness of the customer more in accordance with the current situation. As a result, the drinking state estimation device 1b can quickly warn the biological information notification device 2d if the customer is about to drink excessive alcohol.
  • the estimation unit 12b when the estimation unit 12b predicts the predicted value of the customer's blood alcohol concentration after the prediction time from the current blood alcohol concentration of the customer and the amount of alcohol ordered, the estimation unit 12b Regarding the value, if alcohol whose alcohol content is less than the second alcohol content determination threshold is ordered, the value may be reduced and the customer's drunkenness level after the predicted time may be estimated (Embodiment 2). (See ⁇ Specific Example 4>). Thereby, the estimation unit 12b can estimate the degree of drunkenness of the customer after the predicted time more in accordance with the current situation.
  • FIG. 26 is a flowchart for explaining the operation of the biological information notification device 2d according to the third embodiment, which includes the drinking state estimation device 1b according to the third embodiment.
  • the drinking state estimation device 1b and the biological information notification device 2d start operations as shown in the flowchart of FIG. 26.
  • the specific operations of step ST111 to step ST113 and step ST116 in FIG. 26 are the same as the specific operations of step ST11 to step ST13 and step ST16 in FIG. 18, which have been explained in the second embodiment, respectively. Therefore, duplicate explanations will be omitted.
  • the alcohol concentration information acquisition unit 11 of the drinking state estimating device 1b acquires alcohol concentration information indicating the blood alcohol concentration of the customer in the restaurant from the alcohol concentration detection sensor 5 (step ST114).
  • the alcohol concentration information acquisition unit 11 repeats the process of step ST114 and waits until alcohol concentration information is output from the alcohol concentration detection sensor 5.
  • illustration is omitted in the flowchart of FIG. 26, while the operation of the flowchart of FIG. It is stored in the order history storage unit 63 in association with the acquisition date and time of the order history information, and outputs an instruction to start concentration acquisition to the alcohol concentration detection sensor 5.
  • the alcohol concentration information acquisition unit 11 outputs the acquired alcohol concentration information to the estimation unit 12b.
  • the alcohol concentration information acquisition unit 11 does not necessarily store the acquired alcohol concentration information.
  • the estimation unit 12b of the drinking state estimation device 1b estimates the drinking state of the customer, in other words, the degree of drunkenness of the customer after the predicted time, based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit 11 in step ST114.
  • a state estimation process is performed (step ST115).
  • the biometric information notifying device 2d like the biometric information notifying device 2b according to the second embodiment, assumes that the position of the chopsticks 501, in other words, the position of the alcohol concentration detection sensor 5 has changed due to the change of seats between customers. Also, the position of the character to be displayed can be changed in accordance with the change.
  • the biological information notification device 2 can make the customer think that the character representing his or her drinking status has also moved as the customer's seat has moved. Customers do not need to be confused by the change of characters representing their drinking status.
  • step ST113 and step ST114 are performed in the order of step ST113 and step ST114, but this is only an example.
  • the order of the processing in step ST113 and the processing in step ST114 may be reversed, or the processing in step ST113 and the processing in step ST114 may be performed in parallel.
  • FIG. 27 is a flowchart for explaining details of the state estimation process by the estimator 12b in step ST115 of FIG. 26.
  • the estimation unit 12b analyzes the alcohol concentration information indicating the current customer's blood alcohol concentration, which was acquired by the alcohol concentration information acquisition unit 11 in step ST114 in FIG. 26, and the order analysis unit 15 in step ST113 in FIG. Based on the analysis result of the order contents, the degree of drunkenness of the customer after the predicted time is estimated (step ST1151).
  • the drinking state estimating device 1b analyzes the order content based on the order history information, and based on the alcohol concentration information indicating the current blood alcohol concentration of the customer and the analysis result of the order content. , to estimate the drunkenness level of the customer after the predicted time. Thereby, the drinking state estimating device 1b can estimate the customer's drunkenness level after the predicted time without waiting for time-series alcohol concentration information to be accumulated.
  • the output content determination unit 23 of the biological information notification device 2d determines that the current blood alcohol concentration of the customer is the current concentration determination threshold based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit 11. If it is determined that the drinking state exceeds the drinking state, the estimating unit 12b of the drinking state estimating device 1b decides to warn the customer that he or she will be in a state of excessive alcohol consumption in the near future, regardless of the estimated drinking state of the customer. On the other hand, it is also possible to generate output control information for displaying a character in a form that warns the user of excessive alcohol intake in the near future. In this case, the output content determining unit 23 may acquire the alcohol concentration information acquired by the alcohol concentration information acquiring unit 11 via the estimating unit 12b.
  • the configuration example of the biometric information notification device 2d in this case is the same as the configuration example of the biometric information notification device 2d shown in FIG. 25.
  • the specific operation of the biometric information notification device 2d in this case is the same as the specific operation of the biometric information notification device 2d described in the third embodiment using the flowchart of FIG.
  • the processing details are different.
  • the biological information notification device 2d performs the process described in the second embodiment using the flowchart of FIG. 21 in step ST116 of FIG.
  • the details of the operation shown in the flowchart of FIG. 21 have already been explained in Embodiment 2, so redundant explanation will be omitted.
  • the output content determination unit 23 like the output content determination unit 23 of the biological information notification device 2b according to the second embodiment, determines the blood alcohol content of the current customer. If it is determined that the concentration exceeds the current concentration determination threshold, the estimation unit 12a of the drinking state estimating device 1a determines whether the customer It may be possible to warn the user that he/she will be in a state of excessive alcohol consumption in the near future.
  • the biometric information notification device 2d provides the following information to the customer when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered. It may be decided to warn customers against excessive alcohol consumption, and a character may be displayed in a form that warns customers against excessive alcohol consumption.
  • FIG. 28 shows that in Embodiment 3, when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered, customers are advised to be careful not to consume excessive alcohol. It is a figure which shows the example of a structure of the biometric information notification apparatus 2e in case it has the function of displaying a character in the form which carries out evocation.
  • the specific operation of the output content determining unit 23a in the biological information notification device 2e is different from the specific operation of the output content determining unit 23 of the biological information notification device 2d described using FIG. different.
  • the function of the output content determining unit 23a is the same as that of the output content determining unit 23a (see FIG. 22) included in the biological information notification device 2c, which has already been explained in the second embodiment, and therefore, a redundant explanation will be omitted.
  • the biometric information notifying device 2e has a configuration example as shown in FIG. 28, the operation of the biometric information notifying device 2e in the second embodiment is as shown in FIG. Since the operation is the same as that of the biological information notification device 2c configured as shown in FIG. 22 in Embodiment 2, which has already been explained using the flowchart, a redundant explanation will be omitted.
  • the biometric information notification device 2e tells the customer when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered.
  • the character may be displayed in a form that calls attention to excessive alcohol intake.
  • the biological information notification device 2d can provide support to prevent the customer from consuming excessive alcohol.
  • the hardware configuration of the drinking state estimating device 1b according to the third embodiment is the same as the hardware configuration of the drinking state estimating device 1 described using FIGS. 15A and 15B in the first embodiment, so illustration thereof is omitted. do.
  • the functions of the alcohol concentration information acquisition section 11, the estimation section 12b, the order information acquisition section 14, and the order analysis section 15 are realized by the processing circuit 1001. That is, the drinking state estimating device 1b includes a processing circuit 1001 for performing control to estimate the drinking state of the customer based on the alcohol concentration information acquired from the alcohol concentration detection sensor 5 and the order history.
  • the processing circuit 1001 executes the functions of the alcohol concentration information acquisition section 11, the estimation section 12b, the order information acquisition section 14, and the order analysis section 15 by reading and executing the program stored in the memory 1005. That is, when the drinking state estimating device 1b is executed by the processing circuit 1001, steps ST113 to ST115 in FIG. 26 and steps ST13a and ST16a to ST17a in FIG. 23 described above are executed as a result.
  • a memory 1005 is provided for storing a program. It can also be said that the program stored in the memory 1005 causes the computer to execute the procedures or methods of the alcohol concentration information acquisition section 11, the estimation section 12b, the order information acquisition section 14, and the order analysis section 15.
  • the drinking state estimating device 1b also includes devices such as an alcohol concentration detection sensor 5 and an output device 42, as well as an input interface device 1002 and an output interface device 1003 that perform wired or wireless communication.
  • FIGS. 15A and 15B An example of the hardware configuration of the biological information notification devices 2d and 2e according to the third embodiment is also as shown in FIGS. 15A and 15B.
  • the functions of the existence information acquisition section 21, the allocation section 22, the output content determination sections 23 and 23a, and the output section 24 are realized by the processing circuit 1001. That is, the biological information notification devices 2d and 2e include a processing circuit 1001 for controlling the display of characters based on the drinking state of the customer estimated by the drinking state estimation device 1b.
  • the processor 1004 executes the functions of the existence information acquisition section 21, the allocation section 22, the output content determination sections 23 and 23a, and the output section 24 by reading and executing the program stored in the memory 1005. That is, when the biological information notification devices 2d and 2e are executed by the processor 1004, steps ST111 to ST112 and ST116 in FIG. 26, steps ST11a to ST12a, steps ST14a to ST15a, and steps in FIG.
  • the ST 18a includes a memory 1005 for storing a program that will eventually be executed. Furthermore, the program stored in the memory 1005 causes the computer to execute the processing procedures or methods of the presence/absence information acquisition unit 21, the allocation unit 22, the output content determination units 23, 23a, and the output unit 24. I can say that.
  • the biological information notification devices 2d and 2e include devices such as an alcohol concentration detection sensor 5 and an output device 42, and an input interface device 1002 and an output interface device 1003 that perform wired or wireless communication.
  • the drinking state estimation device 1b and the biological information notification devices 2d and 2e are installed in the tablet terminal 100b, but this is only an example.
  • the drinking state estimation device 1b and the biological information notification devices 2d and 2e may be installed in, for example, a server (not shown). Some or all of the alcohol concentration information acquisition unit 11, the estimation unit 12b, the order information acquisition unit 14, the order analysis unit 15, the existence information acquisition unit 21, the allocation unit 22, the output content determination units 23 and 23a, and the output unit 24 may be installed in the server.
  • the drinking state estimation device 1b is provided in the biological information notification devices 2d and 2e, but this is only an example.
  • the drinking state estimation device 1b may be provided outside the biometric information notification devices 2d, 2e, and may be connected to the biometric information notification devices 2d, 2e via a network.
  • the drinking state estimating device 1b is installed on an object that comes into contact with a person (customer), and based on the reflected light received by irradiating light onto the person (customer),
  • An alcohol concentration information acquisition unit 11 that acquires alcohol concentration information indicating the blood alcohol concentration of a person (customer) from an alcohol concentration detection sensor 5 that measures the blood alcohol concentration of the person (customer);
  • an estimator 12b that estimates the degree of drunkenness of a person (customer) after a predicted time based on the alcohol concentration information acquired by the person (customer) as the drinking state of the person;
  • the estimation unit 12b includes an information acquisition unit 14 and an order analysis unit 15 that analyzes the order contents based on the order history information acquired by the order information acquisition unit 14, and the estimation unit 12b includes the current person information acquired by the alcohol concentration information acquisition unit 11.
  • the degree of drunkenness of the person (customer) after the predicted time is estimated based on alcohol concentration information indicating the blood alcohol concentration of the person (customer) and the analysis result of the order content analyzed by the order analysis unit 15. Therefore, the drinking state estimating device 1b can estimate the drinking state of each person at a restaurant where alcohol is served, even if there are multiple people. Furthermore, the drinking state estimating device 1b can estimate the drunkenness level of the customer after the predicted time without waiting until a plurality of pieces of alcohol concentration information are acquired.
  • the alcohol concentration detection sensor 5 is provided on the chopsticks 501, but the alcohol concentration detection sensor 5 is provided on all eating utensils 500 such as spoons, forks, or knives. It's okay to be hit. Further, in the first to third embodiments described above, the alcohol concentration detection sensor 5 is provided in the eating utensil 500, but this is only an example, and the alcohol concentration detection sensor 5 is installed in the eating utensil 500. It may be installed on something. For example, the alcohol concentration detection sensor 5 may be provided on a chair where a customer sits at a restaurant or a desk where a customer eats. The alcohol concentration detection sensor 5 is provided at a position where it touches the customer's skin. FIG.
  • FIG. 29 is a diagram for explaining an example of a chair 700 in which the alcohol concentration detection sensor 5 is provided.
  • a chair 700 shown in FIG. 29 is provided with alcohol concentration detection sensors 5 on the seat and backrest.
  • the drinking state estimation systems 1000, 1000a, and 1000b detect the alcohol concentration detection sensor 5 provided on the seat surface and the alcohol concentration detection sensor 5 provided on the backrest of the same chair 700. Let it be the detection sensor 5.
  • the chair 700 shown in FIG. 29 is only an example, and the alcohol concentration detection sensor 5 may be provided only on the seat surface or only on the backrest, for example.
  • the alcohol concentration detection sensor 5 may be provided in a wearable terminal, for example.
  • FIG. 30 is a diagram for explaining an example of a wearable terminal 800 in which the alcohol concentration detection sensor 5 is provided.
  • the wearable terminal 800 is assumed to be something like a so-called smart band that can measure various activities such as heart rate by being worn on the wrist.
  • the wearable terminal 800 shown in FIG. 30 is, for example, a smart watch type wearable terminal.
  • the alcohol concentration detection sensor 5 is provided, for example, on the back of the belt of the wearable terminal 800.
  • wearable terminal 800 is handed to a customer by a store clerk when the customer enters the store.
  • Wearable terminal 800 may be integrated with a shoe box key, for example. In this case, the alcohol concentration detection sensor 5 can be charged wirelessly from a shoe box, or when the wearable terminal 800 is inserted into a keyhole.
  • the drinking state estimating devices 1, 1a, and 1b calculate the drinking state of the customer after the predicted time, in other words, the degree of drunkenness, from the alcohol concentration information or from the alcohol concentration information. This was estimated based on the order history information, but this is just an example.
  • the drinking state estimating devices 1, 1a, and 1b estimate the customer's degree of drunkenness after a predicted time by considering the customer's sweat amount, odor, pulse, temperature, or breathing rate in addition to alcohol concentration information.
  • the customer's level of intoxication after the predicted time can be estimated by considering the customer's sweat amount, odor, pulse, temperature, or breathing rate. good.
  • the drinking state estimation devices 1, 1a, and 1b may obtain information regarding the amount of sweat, odor, pulse, temperature, or breathing rate of the customer from, for example, a biosensor (not shown) or the wearable terminal 800.
  • the biosensor is mounted on, for example, the eating utensil 500, the chair 700, the desk, and the like.
  • the biometric information notification devices 2, 2a, 2b, 2c, 2d, and 2e may be able to change the character corresponding to the customer.
  • the output content determination units 23, 23a output the assigned characters via the output unit 24. and display it on the output device 41.
  • the customer checks the output device 41, and if he/she wishes to change the character, operates the output device 41, which is a touch panel display, and inputs an instruction to change the character.
  • the assignment unit 22 receives a character change instruction, it reassigns the character to another character.
  • the assignment unit 22 when assigning a character, the assignment unit 22 outputs information on other character candidates together with the assignment information to the output content determination units 23, 23a, and the output content determination units 23, 23a Other character candidates may be displayed on the output device 41 via the output unit 24.
  • the customer inputs a character change instruction by operating the output device 41, the customer may select a favorite character from among the character candidates.
  • the assignment unit 22 receives the character change instruction, it assigns the selected character candidate.
  • the ordering unit 62 when the reception unit 61 receives an order, the ordering unit 62 outputs a concentration acquisition start instruction to the alcohol concentration detection sensor 5.
  • the ordering unit 62 determines whether or not the order received by the receiving unit 61 contains alcohol, and if it is determined that the order contains alcohol, A concentration acquisition start instruction may be output to the alcohol concentration detection sensor 5. That is, if the order received by the reception unit 61 does not include alcohol, the ordering unit 62 may not output the concentration acquisition start instruction to the alcohol concentration detection sensor 5.
  • the alcohol concentration detection sensor 5 measures the blood alcohol concentration of the customer. Ta. This assumes that the alcohol concentration detection sensor 5 is in a state where it can measure the customer's blood alcohol concentration at the time of ordering. For example, if the alcohol concentration detection sensor 5 is provided on the chopsticks 501, it is assumed that the customer is holding the chopsticks 501 when ordering. However, it is also possible that the customer does not have chopsticks 501 when ordering. Therefore, in the first to third embodiments described above, when the alcohol concentration detection sensor 5 detects contact with the customer, it may be configured to measure the blood alcohol concentration of the customer in response.
  • the output content determination units 23 and 23a determine whether the customer's degree of drunkenness after the predicted time is determined to be If it is determined that the alcohol consumption level is above the alcohol threshold, the customer will be warned that they will be in a state of excessive alcohol consumption in the near future.
  • the output content determination units 23 and 23a are not limited to this, for example, if the predicted value of the customer's blood alcohol concentration after the predicted time is greater than or equal to a preset threshold (hereinafter referred to as "predicted value determination threshold").
  • the predicted value determination threshold is set to, for example, 0.16 to 0.30. It is preferable that the output content determining units 23 and 23a determine whether or not to warn the customer that he/she will be in a state of excessive alcohol intake in the near future by comparing the predicted value of the blood alcohol concentration with the predicted value judgment threshold. , it is possible to determine whether or not to issue a warning in more detail than by comparing the degree of drunkenness with a threshold for determining alcohol consumption to determine whether or not to warn the customer that he or she will be in a state of excessive alcohol consumption in the near future.
  • the output control information generated by the output content determination units 23 and 23a may be information for displaying a character and outputting a voice.
  • the output content determining units 23 and 23a display the character in a form corresponding to the determined output content by outputting the output to the output devices 41 and 42 via the output unit 24, and also display a warning sound or a warning message. etc. can be output.
  • the output devices 41 and 42 include audio output devices such as speakers.
  • the estimation units 12 and 12a estimate the degree of drunkenness of the customer after the predicted time based on the time-series alcohol concentration information for the first period.
  • the estimation units 12 and 12a were on standby until the alcohol concentration information for the first period was stored in the concentration information storage unit 13.
  • the estimating section 12 or the estimating section 12a calculates the current alcohol concentration.
  • the degree of drunkenness of the customer after the predicted time may be estimated from the information and the order history.
  • the drinking state estimation device 1 is configured to have the functions of the order information acquisition section 14 and the order analysis section 15.
  • the number of customers is four, but this is only an example, and the number of customers is not limited to four.
  • the drinking state estimating device can estimate the drinking state of each person at a restaurant where alcohol is served, even if there are multiple people.
  • 1, 1a, 1b drinking state estimation device 11 alcohol concentration information acquisition unit, 12, 12a, 12b estimation unit, 13 concentration information storage unit, 14 order information acquisition unit, 15 order analysis unit, 2, 2a, 2b, 2c, 2d, 2e biological information notification device, 21 existence information acquisition unit, 22 allocation unit, 23, 23a output content determination unit, 24 output unit, 25 order information acquisition unit, 26 order analysis unit, 3 seating detection sensor, 61 reception unit, 62 ordering unit, 63 order history storage unit, 41, 42 output device, 500 eating utensils, 501 chopsticks, 5 alcohol concentration detection sensor, 100, 100a, 100b tablet terminal, 1000, 1000a, 1000b drinking state estimation system, 1001 processing Circuit, 1002 Input interface device, 1003 Output interface device, 1004 Processor, 1005 Memory, 700 Chair, 800 Wearable terminal.

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Abstract

The present invention comprises: an alcohol concentration information acquisition unit (11) that acquires alcohol concentration information, which represents a person's blood alcohol concentration, from an alcohol concentration detection sensor (5) disposed on an object that is in contact with the person, the detection sensor radiating light onto the person and receiving the light reflected, and measuring the person's blood alcohol concentration on the basis of the reflected light; and an estimation unit (12, 12a, and 12b) for estimating, as the person's alcohol consumption status, the degree of intoxication of the person after a predicted time on the basis of the alcohol concentration information acquired by the alcohol concentration information acquisition unit (11).

Description

飲酒状態推定装置、生体情報通知装置、飲酒状態推定システム、および、飲酒状態推定方法Drinking state estimation device, biological information notification device, drinking state estimation system, and drinking state estimation method
　本開示は、飲酒状態推定装置、生体情報通知装置、飲酒状態推定システム、および、飲酒状態推定方法に関するものである。 The present disclosure relates to a drinking state estimation device, a biological information notification device, a drinking state estimation system, and a drinking state estimation method.
　アルコールが提供される飲食店においては、人（客）は、当該客自身も気づかないうちに、過度のアルコール摂取状態である、いわゆるアルコール中毒に陥る可能性がある。なお、アルコールが提供される飲食店の店内には、アルコールを摂取する客が複数存在し得る。当該複数の客は、それぞれが過度のアルコール摂取状態に陥る可能性がある。
　ところで、従来、人の飲酒状態を判定する技術が知られている。
　例えば、特許文献１には、近赤外光波長域のエタノールによる呼吸特性が現れる特定波長域の光を、運転者の呼気中を通過させて受光して、受光量を、検出された環境情報におけるエタノールを含まない大気中を通過させたときの基準受光量と比較して光の減衰量を算出し、算出された減衰量に基づいて、車両の運転者の飲酒状態を判定する技術が開示されている。 In restaurants where alcohol is served, people (customers) may suffer from so-called alcohol poisoning, which is a state of excessive alcohol consumption, without the customer being aware of it. Note that in a restaurant where alcohol is served, there may be a plurality of customers consuming alcohol. Each of the plurality of customers may end up in a state of excessive alcohol consumption.
By the way, techniques for determining a person's drinking state are known.
For example, Patent Document 1 discloses that light in a specific wavelength range in which the breathing characteristics of ethanol in the near-infrared wavelength range appear is passed through the driver's exhalation and received, and the amount of received light is measured based on the detected environmental information. Discloses a technology that calculates the amount of attenuation of light by comparing it with the standard amount of light received when passing through an atmosphere that does not contain ethanol, and determines the drinking state of the driver of a vehicle based on the calculated amount of attenuation. has been done.
特開２００９－３１００２号公報Japanese Patent Application Publication No. 2009-31002
　アルコールが提供される飲食店においては、店内に複数存在し得る客が過度のアルコール摂取状態に陥るのを未然に防げるよう、店内に複数存在し得る客に対してそれぞれ飲酒状態を推定し、近い将来過度のアルコール摂取状態に陥りそうな状態の客を検知可能とすることが望まれる。
　しかし、従来、アルコールが提供される飲食店にて店内に複数存在し得る客に対して、個別に飲酒状態を推定可能とできていないという課題があった。
　このような課題に対し、特許文献１に開示されている技術は、ある特定の人（運転者）の飲酒状態の判定を行うためのものであり、同じ空間に存在する複数の人に対して、それぞれ、飲酒状態を判定する必要性について考慮されたものではない。したがって、特許文献１に開示されているような技術では、依然として、上記の課題は解決されない。 In restaurants where alcohol is served, in order to prevent multiple customers in the store from consuming excessive alcohol, the drinking status of each of the multiple customers in the store is estimated and It is desirable to be able to detect customers who are likely to drink excessive alcohol in the future.
However, in the past, there has been a problem in that it has not been possible to estimate the drinking status of each customer individually at a restaurant where alcohol is served.
To address these issues, the technology disclosed in Patent Document 1 is for determining the drinking state of a specific person (driver), and is for determining the drinking state of a specific person (driver). , respectively, do not take into account the need to determine the state of drinking. Therefore, the above-mentioned problem is still not solved by the technique disclosed in Patent Document 1.
　本開示は、上記のような課題を解決するためになされたもので、アルコールが提供される飲食店における人の飲酒状態を推定する飲酒状態推定装置であって、当該人が複数であっても、それぞれ、飲酒状態を推定可能とした飲酒状態推定装置を提供することを目的とする。 The present disclosure has been made to solve the above-mentioned problems, and is a drinking state estimating device that estimates the drinking state of a person at a restaurant where alcohol is served, even if there are multiple people. , respectively, each of which aims to provide a drinking state estimating device that is capable of estimating a drinking state.
　本開示に係る飲酒状態推定装置は、アルコールが提供される飲食店における人の飲酒状態を推定する飲酒状態推定装置であって、人と接触する物体に設けられ人に光を照射し反射させて受光した反射光に基づいて人の血中アルコール濃度を計測するアルコール濃度検知センサから、人の血中アルコール濃度を示すアルコール濃度情報を取得するアルコール濃度情報取得部と、アルコール濃度情報取得部が取得したアルコール濃度情報に基づいて、予測時間後の人の酒酔い度を人の飲酒状態として推定する推定部とを備えたものである。 The drinking state estimating device according to the present disclosure is a drinking state estimating device that estimates the drinking state of a person at a restaurant where alcohol is served, and is installed on an object that comes into contact with a person to irradiate and reflect light on the person. An alcohol concentration information acquisition unit that acquires alcohol concentration information indicating a person's blood alcohol concentration from an alcohol concentration detection sensor that measures the person's blood alcohol concentration based on received reflected light; and an alcohol concentration information acquisition unit that acquires alcohol concentration information. and an estimation unit that estimates the person's degree of drunkenness after the predicted time as the person's drinking state based on the alcohol concentration information obtained.
　本開示によれば、アルコールが提供される飲食店における人について、当該人が複数であっても、それぞれ、飲酒状態を推定できる。 According to the present disclosure, it is possible to estimate the drinking state of each person at a restaurant where alcohol is served, even if there are multiple people.
実施の形態１に係る飲酒状態推定装置を備えた飲酒状態推定システムの構成例を示す図である。1 is a diagram illustrating a configuration example of a drinking state estimation system including a drinking state estimation device according to a first embodiment; FIG. 実施の形態１において、アルコール濃度検知センサが設けられている箸の一例について説明するための図である。FIG. 2 is a diagram for explaining an example of chopsticks provided with an alcohol concentration detection sensor in Embodiment 1. FIG. 実施の形態１において、アルコール濃度検知センサが客の血中アルコール濃度を測定する様子の一例を示す図である。FIG. 3 is a diagram illustrating an example of how an alcohol concentration detection sensor measures a customer's blood alcohol concentration in the first embodiment. 実施の形態１に係る飲酒状態推定装置を備えた生体情報通知装置の構成例を示す図である。1 is a diagram illustrating a configuration example of a biological information notification device including a drinking state estimation device according to Embodiment 1. FIG. 実施の形態１に係る飲酒状態推定装置および生体情報通知装置を搭載するタブレット端末の一例の外観を示す図である。1 is a diagram illustrating the appearance of an example of a tablet terminal equipped with a drinking state estimation device and a biological information notification device according to Embodiment 1. FIG. 実施の形態１において、着座検知センサがアルコール濃度検知センサをセンシングし、存否情報を取得する様子の一例を示す図である。FIG. 3 is a diagram illustrating an example of how the seating detection sensor senses the alcohol concentration detection sensor and acquires presence/absence information in the first embodiment. 実施の形態１において推定部が酒酔い度の推定に用いる酒酔い度推定用情報の一例を示す図である。3 is a diagram illustrating an example of drunkenness level estimation information used by the estimation unit to estimate the drunkenness level in the first embodiment; FIG. 図８Ａ、図８Ｂ、図８Ｃ、および、図８Ｄは、実施の形態１において、出力装置が出力制御情報に基づいて表示させた表示画面の一例を示す図である。8A, FIG. 8B, FIG. 8C, and FIG. 8D are diagrams showing examples of display screens displayed by the output device based on output control information in the first embodiment. 実施の形態１に係る飲酒状態推定装置を備えた実施の形態１に係る生体情報通知装置の動作について説明するためのフローチャートである。2 is a flowchart for explaining the operation of the biological information notification device according to the first embodiment, which includes the drinking state estimation device according to the first embodiment. 図９のステップＳＴ４における、推定部による状態推定処理の詳細を説明するためのフローチャートである。10 is a flowchart for explaining details of the state estimation process by the estimator in step ST4 of FIG. 9. FIG. 図９のステップＳＴ５における、出力内容決定部によるキャラクター表示処理の詳細を説明するためのフローチャートである。10 is a flowchart for explaining details of character display processing by the output content determining section in step ST5 of FIG. 9. FIG. 実施の形態１において、客の数に対して注文されたアルコールの量が多い場合、または、度数が高いアルコールが注文された場合、客に対して、過度のアルコール摂取への注意喚起を行う形態でキャラクターを表示させる機能を有する場合の、生体情報通知装置の構成例を示す図である。In the first embodiment, if the amount of alcohol ordered is large relative to the number of customers, or if alcohol with a high alcohol content is ordered, the customer is warned against excessive alcohol intake. 2 is a diagram illustrating an example of the configuration of a biometric information notification device that has a function of displaying a character. FIG. 出力内容決定部が出力した、客に対して注意喚起するための出力制御情報に基づいて出力装置が表示させた表示画面の一例を示す図である。It is a figure which shows an example of the display screen which the output device displayed based on the output control information for calling attention to a customer which was output by the output content determination part. 実施の形態１において、生体情報通知装置を、図１２に示すような構成例を有する生体情報通知装置とした場合の、生体情報通知装置の動作を説明するためのフローチャートである。13 is a flowchart for explaining the operation of the biometric information notification device in the first embodiment when the biometric information notification device has the configuration example shown in FIG. 12. FIG. 図１５Ａおよび図１５Ｂは、実施の形態１に係る飲酒状態推定装置、および、実施の形態１に係る生体情報通知装置のハードウェア構成の一例を示す図である。15A and 15B are diagrams illustrating an example of the hardware configuration of the drinking state estimation device according to the first embodiment and the biological information notification device according to the first embodiment. 実施の形態２に係る飲酒状態推定システムの構成例を示す図である。FIG. 3 is a diagram illustrating a configuration example of a drinking state estimation system according to a second embodiment. 実施の形態２に係る飲酒状態推定装置を備えた生体情報通知装置の構成例を示す図である。FIG. 7 is a diagram illustrating a configuration example of a biological information notification device including a drinking state estimation device according to a second embodiment. 実施の形態２に係る飲酒状態推定装置を備えた実施の形態２に係る生体情報通知装置の動作について説明するためのフローチャートである。7 is a flowchart for explaining the operation of the biological information notification device according to Embodiment 2, which includes the drinking state estimation device according to Embodiment 2. FIG. 図１８のステップＳＴ１５における、推定部による状態推定処理の詳細を説明するためのフローチャートである。19 is a flowchart for explaining details of the state estimation process by the estimator in step ST15 of FIG. 18. FIG. 図１８のステップＳＴ１６おける、出力内容決定部によるキャラクター表示処理の詳細を説明するためのフローチャートである。19 is a flowchart for explaining details of character display processing by the output content determining section in step ST16 of FIG. 18. FIG. 実施の形態２において、生体情報通知装置の出力内容決定部が、現在の客の血中アルコール濃度が現濃度判定用閾値を超えていると判定した場合、客に対して近い将来過度のアルコール摂取状態に陥ることを警告すると決定するようにした場合の、出力内容決定部によるキャラクター表示処理の詳細について説明するためのフローチャートである。In Embodiment 2, if the output content determining unit of the biological information notification device determines that the current blood alcohol concentration of the customer exceeds the current concentration determination threshold, the customer is notified of excessive alcohol intake in the near future. 12 is a flowchart illustrating details of character display processing by an output content determining unit when it is determined to issue a warning that a situation will occur. 実施の形態２において、客の数に対して注文されたアルコールの量が多い場合、または、度数が高いアルコールが注文された場合、客に対して、過度のアルコール摂取への注意喚起を行う形態でキャラクターを表示させる機能を有する場合の、生体情報通知装置の構成例を示す図である。In the second embodiment, if the amount of alcohol ordered is large relative to the number of customers, or if alcohol with a high alcohol content is ordered, the customer is warned against excessive alcohol intake. 2 is a diagram illustrating an example of the configuration of a biometric information notification device that has a function of displaying a character. FIG. 実施の形態２において、生体情報通知装置を、図２２に示すような構成例を有する生体情報通知装置とした場合の、生体情報通知装置の動作を説明するためのフローチャートである。23 is a flowchart for explaining the operation of the biometric information notification device in the second embodiment when the biometric information notification device has the configuration example shown in FIG. 22. FIG. 実施の形態３に係る飲酒状態推定システムの構成例を示す図である。FIG. 7 is a diagram illustrating a configuration example of a drinking state estimation system according to a third embodiment. 実施の形態３に係る飲酒状態推定装置を備えた生体情報通知装置の構成例を示す図である。FIG. 7 is a diagram illustrating a configuration example of a biological information notification device including a drinking state estimation device according to a third embodiment. 実施の形態３に係る飲酒状態推定装置を備えた実施の形態３に係る生体情報通知装置の動作について説明するためのフローチャートである。12 is a flowchart for explaining the operation of the biological information notification device according to Embodiment 3, which includes the drinking state estimation device according to Embodiment 3. 図２６のステップＳＴ１１５における、推定部による状態推定処理の詳細を説明するためのフローチャートである。27 is a flowchart for explaining details of the state estimation process by the estimator in step ST115 of FIG. 26. FIG. 実施の形態３において、客の数に対して注文されたアルコールの量が多い場合、または、度数が高いアルコールが注文された場合、客に対して、過度のアルコール摂取への注意喚起を行う形態でキャラクターを表示させる機能を有する場合の、生体情報通知装置の構成例を示す図である。In Embodiment 3, if the amount of alcohol ordered is large relative to the number of customers, or if alcohol with a high alcohol content is ordered, the customer is alerted to excessive alcohol intake. 2 is a diagram illustrating an example of the configuration of a biometric information notification device that has a function of displaying a character. FIG. アルコール濃度検知センサが設けられている椅子の一例について説明するための図である。FIG. 2 is a diagram for explaining an example of a chair provided with an alcohol concentration detection sensor. アルコール濃度検知センサが設けられているウェアラブル端末の一例について説明するための図である。FIG. 2 is a diagram for explaining an example of a wearable terminal provided with an alcohol concentration detection sensor.
　以下、本開示をより詳細に説明するために、本開示を実施するための形態について、添付の図面に従って説明する。
実施の形態１．
　図１は、実施の形態１に係る飲酒状態推定装置１を備えた飲酒状態推定システム１０００の構成例を示す図である。
　図１に示すように、実施の形態１において、飲酒状態推定装置１とアルコール濃度検知センサ５とで、飲酒状態推定システム１０００を構成する。飲酒状態推定装置１とアルコール濃度検知センサ５は、ネットワークを介して接続される。 DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, in order to explain the present disclosure in more detail, embodiments for carrying out the present disclosure will be described with reference to the accompanying drawings.
Embodiment 1.
FIG. 1 is a diagram showing a configuration example of a drinking state estimation system 1000 including a drinking state estimation device 1 according to the first embodiment.
As shown in FIG. 1, in the first embodiment, a drinking state estimating device 1 and an alcohol concentration detection sensor 5 constitute a drinking state estimation system 1000. The drinking state estimation device 1 and the alcohol concentration detection sensor 5 are connected via a network.
　飲酒状態推定装置１は、アルコールが提供される飲食店における人の飲酒状態を推定する。具体的には、飲酒状態推定装置１は、アルコールが提供される飲食店において、予め設定された時間（以下「予測時間」という。）後における人の「酒酔い度」を当該人の飲酒状態として推定する。実施の形態１において、人の飲酒状態は、予測時間後のアルコール摂取状態をいい、「酒酔い度」で示される。
　飲酒状態推定装置１は、人の血中アルコール濃度を計測するアルコール濃度検知センサ５から血中アルコール濃度を示す情報（以下「アルコール濃度情報」という。）を取得する。飲酒状態推定装置１は、アルコール濃度検知センサ５から取得したアルコール濃度情報に基づいて、アルコールが提供される飲食店における人の予測時間後の酒酔い度を推定する。飲酒状態推定装置１は、人の血中アルコール濃度が高いほど、酒酔い度は高いと推定する。当該酒酔い度がある一定値を超えると、人は、「過度のアルコール摂取状態」であるといえる。なお、実施の形態１では、「過度のアルコール摂取状態」とは、慢性的なものではなく、アルコールを一度に多く摂取し過ぎること等によって意識障害等を引き起こし、生命にかかわる状態になる、いわゆる急性アルコール中毒を想定している。人がいわゆる急性アルコール中毒になると、血中のアルコール濃度が一気に高くなると言われている。
　飲酒状態推定装置１の詳細については、後述する。
　以下の説明において、アルコールが提供される飲食店を単に「飲食店」ともいう。また、以下の説明において、飲食店における人とは飲食店において食べ物または飲み物を注文しこれを飲食する人を想定しており、「客」ともいう。 The drinking state estimating device 1 estimates the drinking state of a person at a restaurant where alcohol is served. Specifically, the drinking state estimating device 1 calculates the drinking state of a person based on the person's "drunkenness level" after a preset time (hereinafter referred to as "predicted time") at a restaurant where alcohol is served. Estimated as. In Embodiment 1, a person's drinking state refers to the alcohol intake state after a predicted time, and is indicated by a "degree of drunkenness."
The drinking state estimating device 1 acquires information indicating blood alcohol concentration (hereinafter referred to as "alcohol concentration information") from an alcohol concentration detection sensor 5 that measures a person's blood alcohol concentration. The drinking state estimating device 1 estimates the degree of drunkenness of a person at a restaurant where alcohol is served after a predicted time based on the alcohol concentration information acquired from the alcohol concentration detection sensor 5. The drinking state estimating device 1 estimates that the higher the blood alcohol concentration of a person, the higher the degree of drunkenness. When the degree of drunkenness exceeds a certain value, it can be said that the person is in a state of "excessive alcohol consumption." In Embodiment 1, "excessive alcohol consumption state" is not a chronic state, but a so-called life-threatening state in which consciousness disturbance is caused by consuming too much alcohol at once. Assuming acute alcohol poisoning. It is said that when a person suffers from so-called acute alcohol poisoning, the alcohol concentration in their blood suddenly increases.
Details of the drinking state estimation device 1 will be described later.
In the following description, a restaurant where alcohol is served is also simply referred to as a "restaurant." In addition, in the following explanation, people at a restaurant are assumed to be people who order and eat food or drinks at a restaurant, and are also referred to as "customers."
　実施の形態１において、アルコール濃度検知センサ５は、食事用器具５００に設けられ、当該食事用器具５００を使用する客の血中アルコール濃度を計測する。食事用器具５００は、箸、スプーン、フォーク、または、ナイフ等、人が食事の際に使う器具全般を想定している。実施の形態１では、一例として、食事用器具５００は、箸５０１（後述の図２参照）とする。
　アルコール濃度検知センサ５は、人に光を照射し反射させて受光した反射光に基づいて血中アルコール濃度を測定する。アルコール濃度検知センサ５は、人の血中アルコール濃度を測定する公知の一般的なセンサであるため、詳細な説明を省略する。 In the first embodiment, the alcohol concentration detection sensor 5 is provided in the eating utensil 500 and measures the blood alcohol concentration of the customer who uses the eating utensil 500. The eating utensils 500 are assumed to be general utensils used by people when eating, such as chopsticks, spoons, forks, or knives. In Embodiment 1, as an example, the eating utensil 500 is chopsticks 501 (see FIG. 2 described below).
The alcohol concentration detection sensor 5 measures the blood alcohol concentration based on the reflected light that is received by irradiating light onto a person and reflecting the light. The alcohol concentration detection sensor 5 is a well-known general sensor that measures a person's blood alcohol concentration, so a detailed explanation will be omitted.
　図２は、実施の形態１において、アルコール濃度検知センサ５が設けられている箸５０１の一例について説明するための図である。
　アルコール濃度検知センサ５は、２本で１組となる箸５０１の１本に１つ、設けられる。すなわち、ある客が箸５０１を使って食事をする場合、当該箸５０１の１本１本にそれぞれ設けられているアルコール濃度検知センサ５が、当該ある客の血中アルコール濃度を測定することになる。
　実施の形態１に係る飲酒状態推定装置１は、例えば、図２に示すような箸５０１に設けられているアルコール濃度検知センサ５から、アルコール濃度情報を取得する。 FIG. 2 is a diagram for explaining an example of chopsticks 501 provided with alcohol concentration detection sensor 5 in the first embodiment.
One alcohol concentration detection sensor 5 is provided for each pair of chopsticks 501. That is, when a certain customer eats using chopsticks 501, the alcohol concentration detection sensor 5 provided on each of the chopsticks 501 will measure the blood alcohol concentration of the certain customer. .
The drinking state estimation device 1 according to the first embodiment acquires alcohol concentration information from the alcohol concentration detection sensor 5 provided on chopsticks 501 as shown in FIG. 2, for example.
　図３は、実施の形態１において、アルコール濃度検知センサ５が客の血中アルコール濃度を測定する様子の一例を示す図である。アルコール濃度検知センサ５は、客が箸５０１を使って食事をしようとするとき当該客の手が触れる位置に設けられている。アルコール濃度検知センサ５は、箸５０１を持つ客の手に光を照射し反射させて受光した反射光に基づいて、客の血中アルコール濃度を測定する。
　アルコール濃度検知センサ５は、測定した客の血中アルコール濃度を示すアルコール濃度情報を、飲酒状態推定装置１へ出力する。
　なお、実施の形態１において、飲酒状態推定システム１０００は、対となる２本の箸５０１にそれぞれ設けられている２つのアルコール濃度検知センサ５を、１組のアルコール濃度検知センサ５とする。 FIG. 3 is a diagram showing an example of how the alcohol concentration detection sensor 5 measures a customer's blood alcohol concentration in the first embodiment. The alcohol concentration detection sensor 5 is provided at a position that is touched by a customer's hand when the customer uses chopsticks 501 to eat. The alcohol concentration detection sensor 5 measures the customer's blood alcohol concentration based on the reflected light received by irradiating light onto the customer's hand holding the chopsticks 501 and reflecting the light.
The alcohol concentration detection sensor 5 outputs alcohol concentration information indicating the measured blood alcohol concentration of the customer to the drinking state estimation device 1.
Note that in the first embodiment, the drinking state estimation system 1000 sets two alcohol concentration detection sensors 5 provided on each pair of two chopsticks 501 as one set of alcohol concentration detection sensors 5.
　アルコール濃度検知センサ５には、それぞれ、固有の識別番号が付与されている。アルコール濃度検知センサ５が飲酒状態推定装置１へ出力するアルコール濃度情報は、当該識別番号の情報を含む。
　アルコール濃度検知センサ５は、箸５０１ごと食洗器等で洗うことができる。
　アルコール濃度検知センサ５は、送電装置（図示省略）から非接触で受電可能であり、送電装置から受電した電力に基づき、客の血中アルコール濃度を計測する。送電装置は、例えば、机に置かれ箸５０１とセットで使用される箸置き（図示省略）、または、箸５０１が収納される食器棚（図示省略）の棚板に設けられる。非接触給電の技術は、公知の技術であるため、詳細な説明を省略する。 Each alcohol concentration detection sensor 5 is given a unique identification number. The alcohol concentration information that the alcohol concentration detection sensor 5 outputs to the drinking state estimation device 1 includes information on the identification number.
The alcohol concentration detection sensor 5 can be washed together with the chopsticks 501 in a dishwasher or the like.
The alcohol concentration detection sensor 5 can receive power from a power transmission device (not shown) in a non-contact manner, and measures the customer's blood alcohol concentration based on the power received from the power transmission device. The power transmission device is provided, for example, on a chopstick rest (not shown) placed on a desk and used as a set with the chopsticks 501, or on a shelf board of a cupboard (not shown) in which the chopsticks 501 are stored. Since the technology of contactless power supply is a well-known technology, detailed description thereof will be omitted.
　実施の形態１に係る飲酒状態推定装置１は、例えば、生体情報通知装置に備えられている。
　ここで、図４は、実施の形態１に係る飲酒状態推定装置１を備えた生体情報通知装置２の構成例を示す図である。なお、図４では、説明の簡単のため、アルコール濃度検知センサ５は１つのみ示しているが、これは一例に過ぎない。また、図４では、説明の簡単のため、食事用器具５００は１つのみ示しているが、これは一例に過ぎない。飲酒状態推定装置１は、複数の食事用器具５００（ここでは箸５０１）にそれぞれ設けられている複数のアルコール濃度検知センサ５と接続され得る。
　図４に示すように、実施の形態１において、飲酒状態推定装置１を備えた生体情報通知装置２は、例えば、飲食店において客が飲食するための机に設置されるタブレット端末１００に搭載されていることを想定している。
　タブレット端末１００は、アルコール濃度検知センサ５と通信可能となっている。
　タブレット端末１００は、飲酒状態推定装置１および生体情報通知装置２の他、受付部６１、発注部６２、注文履歴記憶部６３、出力装置４１、および、着座検知センサ３を備える。 The drinking state estimation device 1 according to the first embodiment is included in, for example, a biological information notification device.
Here, FIG. 4 is a diagram showing a configuration example of a biological information notification device 2 including the drinking state estimation device 1 according to the first embodiment. Note that in FIG. 4, only one alcohol concentration detection sensor 5 is shown for simplicity of explanation, but this is only an example. Further, in FIG. 4, only one eating utensil 500 is shown for ease of explanation, but this is only an example. The drinking state estimating device 1 can be connected to a plurality of alcohol concentration detection sensors 5 respectively provided on a plurality of eating utensils 500 (here, chopsticks 501).
As shown in FIG. 4, in the first embodiment, a biological information notification device 2 including a drinking state estimation device 1 is mounted on a tablet terminal 100 installed on a desk for customers to eat and drink in a restaurant, for example. It is assumed that
The tablet terminal 100 is capable of communicating with the alcohol concentration detection sensor 5.
The tablet terminal 100 includes a drinking state estimation device 1 and a biological information notification device 2, as well as a reception section 61, an ordering section 62, an order history storage section 63, an output device 41, and a seating detection sensor 3.
　実施の形態１に係る生体情報通知装置２は、飲酒状態推定装置１が推定した客の飲酒状態、言い換えれば、予測時間後の客の酒酔い度に基づく情報を、キャラクターを用いて提供する。詳細には、生体情報通知装置２は、予測時間後の客の酒酔い度を、当該予測時間後の客の酒酔い度に応じた態様で、出力装置４１，４２に表示させる。
　タブレット端末１００は、例えば、タッチパネル式ディスプレイを備える。出力装置４１は、タブレット端末１００に備えられているタッチパネル式ディスプレイを想定している。出力装置４２は、例えば、飲食店の厨房等に設置されているＰＣ（Ｐｅｒｓｏｎａｌ　Ｃｏｍｐｕｔｅｒ。図示省略）が備える表示装置、または、飲食店の従業員が携帯するタブレット端末（図示省略）が備えるタッチパネル式ディスプレイである。
　生体情報通知装置２の詳細については、後述する。 The biological information notification device 2 according to the first embodiment uses a character to provide information based on the customer's drinking state estimated by the drinking state estimating device 1, in other words, the customer's degree of drunkenness after the predicted time. Specifically, the biological information notification device 2 causes the output devices 41 and 42 to display the degree of drunkenness of the customer after the predicted time in a manner corresponding to the degree of drunkenness of the customer after the predicted time.
The tablet terminal 100 includes, for example, a touch panel display. The output device 41 is assumed to be a touch panel display included in the tablet terminal 100. The output device 42 is, for example, a display device included in a PC (Personal Computer, not shown) installed in the kitchen of a restaurant, or a touch panel type device included in a tablet terminal (not shown) carried by an employee of the restaurant. It's a display.
Details of the biological information notification device 2 will be described later.
　タブレット端末１００は、客による食べ物または飲み物の注文にも用いられる。客は、例えば、タブレット端末１００に備えられているタッチパネル式ディスプレイをタッチ操作して、食べ物または飲み物を注文する。
　タブレット端末１００の受付部６１は、注文を受け付ける。具体的には、受付部６１は、客が入力した商品（食べ物または飲み物）に関する情報を受け付ける。
　受付部６１が食べ物または飲み物に関する情報を受け付けると、発注部６２は、注文された商品に関する情報（以下「注文履歴情報」という。）を生成し、当該注文履歴情報の取得日時と対応付けて、注文履歴記憶部６３に記憶させる。発注部６２は、例えば、注文された商品毎に注文履歴情報を生成する。注文履歴情報は、例えば、注文日時と、タブレット端末１００固有の端末番号等、注文が行われたタブレット端末１００を特定可能な情報と、商品名の情報と、注文数の情報とを含む。 The tablet terminal 100 is also used by customers to order food or drinks. A customer orders food or drinks by, for example, touching a touch panel display provided on the tablet terminal 100.
The reception unit 61 of the tablet terminal 100 receives orders. Specifically, the reception unit 61 receives information regarding a product (food or drink) input by a customer.
When the reception unit 61 receives information regarding food or drinks, the ordering unit 62 generates information regarding the ordered product (hereinafter referred to as "order history information"), and associates it with the acquisition date and time of the order history information. It is stored in the order history storage section 63. For example, the ordering unit 62 generates order history information for each ordered product. The order history information includes, for example, order date and time, information that can identify the tablet terminal 100 on which the order was placed, such as a terminal number unique to the tablet terminal 100, information on the product name, and information on the number of orders.
　また、発注部６２は、注文履歴情報を、タブレット端末１００の外部のサーバ（図示省略）に出力する。当該サーバは、例えば、店内の注文状況を管理するサーバを想定している。当該サーバは、注文履歴情報を取得すると、例えば、出力装置４２に注文履歴情報を出力させ、厨房にいる店員に対して、注文内容を知らせる。 Additionally, the ordering unit 62 outputs order history information to a server (not shown) external to the tablet terminal 100. The server is assumed to be, for example, a server that manages order status within a store. When the server acquires the order history information, the server causes the output device 42 to output the order history information, for example, and notifies the clerk in the kitchen of the order details.
　また、発注部６２は、注文履歴情報を注文履歴記憶部６３に記憶させる際に、アルコール濃度検知センサ５に対して、アルコール濃度情報の取得を開始させるための指示（以下「濃度取得開始指示」という。）を出力する。アルコール濃度検知センサ５は、発注部６２から濃度取得開始指示が出力されると、客の血中アルコール濃度の測定を開始する。 In addition, when storing the order history information in the order history storage unit 63, the ordering unit 62 also instructs the alcohol concentration detection sensor 5 to start acquiring alcohol concentration information (hereinafter referred to as “concentration acquisition start instruction”). ) is output. The alcohol concentration detection sensor 5 starts measuring the customer's blood alcohol concentration when the ordering unit 62 outputs an instruction to start acquiring the concentration.
　着座検知センサ３は、机上のアルコール濃度検知センサ５をセンシングする。例えば、着座検知センサ３は、タブレット端末１００の電源がオンにされると、アルコール濃度検知センサ５のセンシングを開始する。
　着座検知センサ３は、センシングした結果（以下「存否情報」という。）を、生体情報通知装置２に出力する。生体情報通知装置２は、存否情報に基づき、客毎に、予測時間後の客の酒酔い度に基づく情報を提供するためのキャラクターを割り当てる。
　着座検知センサ３は、アルコール濃度検知センサ５をセンシングすることで、当該アルコール濃度検知センサ５が存在している位置を特定可能である。また、着座検知センサ３は、各アルコール濃度検知センサ５から、当該アルコール濃度検知センサ５に付与されている識別番号に関する情報を、収集する。存否情報には、アルコール濃度検知センサ５毎に、アルコール濃度検知センサ５の識別番号に関する情報とアルコール濃度検知センサ５の位置に関する情報とが対応付けられた情報が含まれる。また、存否情報において、識別番号に関する情報には、対となる相手のアルコール濃度検知センサ５の識別番号の情報が付与される。 The seating detection sensor 3 senses the alcohol concentration detection sensor 5 on the desk. For example, when the power of the tablet terminal 100 is turned on, the seating detection sensor 3 starts sensing the alcohol concentration detection sensor 5.
The seating detection sensor 3 outputs the sensing result (hereinafter referred to as "presence information") to the biological information notification device 2. The biological information notification device 2 assigns a character to each customer based on the presence/absence information to provide information based on the customer's degree of drunkenness after the predicted time.
By sensing the alcohol concentration detection sensor 5, the seating detection sensor 3 can identify the position where the alcohol concentration detection sensor 5 is present. The seating detection sensor 3 also collects information regarding the identification number assigned to each alcohol concentration detection sensor 5 from each alcohol concentration detection sensor 5. The presence/absence information includes, for each alcohol concentration detection sensor 5, information in which information regarding the identification number of the alcohol concentration detection sensor 5 and information regarding the position of the alcohol concentration detection sensor 5 are associated with each other. Further, in the presence/absence information, information on the identification number of the partner alcohol concentration detection sensor 5 is added to the information regarding the identification number.
　着座検知センサ３は、アルコール濃度検知センサ５が設けられている箸５０１が配置されていると想定される方向に指向性を持たせて存否情報を得るための情報を出力する。アルコール濃度検知センサ５は、着座検知センサ３から出力された当該情報を受けて、識別番号に関する情報等を着座検知センサ３に出力する。このような着座検知センサ３によるセンシングの技術は、公知の技術で実現できる。着座検知センサ３は、ＲＦＩＤ（Ｒａｄｉｏ　Ｆｒｅｑｕｅｎｃｙ　Ｉｄｅｎｔｉｆｉｃａｔｉｏｎ）等の技術を用いてアルコール濃度検知センサ５をセンシングし、存否情報を得てもよい。 The seating detection sensor 3 outputs information for obtaining presence/absence information with directivity in the direction in which the chopsticks 501 on which the alcohol concentration detection sensor 5 is installed are assumed to be placed. The alcohol concentration detection sensor 5 receives the information output from the seating detection sensor 3 and outputs information regarding the identification number and the like to the seating detection sensor 3. Sensing technology using such a seating detection sensor 3 can be realized by a known technology. The seating detection sensor 3 may sense the alcohol concentration detection sensor 5 using a technology such as RFID (Radio Frequency Identification) to obtain presence/absence information.
　ここで、図５は、実施の形態１に係る飲酒状態推定装置１および生体情報通知装置２を搭載するタブレット端末１００の一例の外観を示す図である。
　また、図６は、実施の形態１において、着座検知センサ３がアルコール濃度検知センサ５をセンシングし、存否情報を取得する様子の一例を示す図である。
　図６は、机の上に箸が４膳（第１の箸５０１ａ、第２の箸５０１ｂ、第３の箸５０１ｃ、および、第４の箸５０１ｄ）が置かれており、第１の箸５０１ａには５－１，５－２で示すアルコール濃度検知センサ５（アルコール濃度検知センサ５－１、アルコール濃度検知センサ５－２とする）が設けられ、第２の箸５０１ｂには５－３，５－４で示すアルコール濃度検知センサ５（アルコール濃度検知センサ５－３、アルコール濃度検知センサ５－４とする）が設けられ、第３の箸５０１ｃには５－５，５－６で示すアルコール濃度検知センサ５（アルコール濃度検知センサ５－５、アルコール濃度検知センサ５－６とする）が設けられ、第４の箸５０１ｄには５－７，５－８で示すアルコール濃度検知センサ５（アルコール濃度検知センサ５－７、アルコール濃度検知センサ５－８とする）が設けられている。
　着座検知センサ３は、８つのアルコール濃度検知センサ５－１～５－８をセンシングする。なお、以下の説明において、アルコール濃度検知センサ５－１～５－８の区別が不要であるとき、まとめてアルコール濃度検知センサ５ともいう。 Here, FIG. 5 is a diagram showing an example of the appearance of a tablet terminal 100 equipped with the drinking state estimation device 1 and the biological information notification device 2 according to the first embodiment.
Further, FIG. 6 is a diagram showing an example of how the seating detection sensor 3 senses the alcohol concentration detection sensor 5 and acquires presence/absence information in the first embodiment.
In FIG. 6, four pairs of chopsticks (first chopsticks 501a, second chopsticks 501b, third chopsticks 501c, and fourth chopsticks 501d) are placed on a desk, and the first chopsticks 501a is provided with alcohol concentration detection sensors 5 (referred to as alcohol concentration detection sensor 5-1 and alcohol concentration detection sensor 5-2) shown as 5-1 and 5-2, and the second chopstick 501b is provided with alcohol concentration detection sensors 5-3 and 5-2, respectively. An alcohol concentration detection sensor 5 (referred to as alcohol concentration detection sensor 5-3, alcohol concentration detection sensor 5-4) indicated by 5-4 is provided, and the third chopstick 501c is provided with alcohol concentration detection sensor 5 indicated by 5-5 and 5-6. Alcohol concentration detection sensors 5 (referred to as alcohol concentration detection sensors 5-5 and alcohol concentration detection sensors 5-6) are provided on the fourth chopstick 501d, and alcohol concentration detection sensors 5 (referred to as alcohol concentration detection sensors 5-7 and 5-8) are provided on the fourth chopstick 501d. A concentration detection sensor 5-7 and an alcohol concentration detection sensor 5-8 are provided.
The seating detection sensor 3 senses eight alcohol concentration detection sensors 5-1 to 5-8. In the following description, when it is not necessary to distinguish between the alcohol concentration detection sensors 5-1 to 5-8, they are also collectively referred to as the alcohol concentration detection sensors 5.
　以下の実施の形態１では、一例として、飲食店に４名の客（第１の客Ａ、第２の客Ｂ、第３の客Ｃ、および、第４の客Ｄ）が来店し、図６で示したような机にて飲食することを想定する。なお、第１の客Ａは第１の箸５０１ａを使用し、第２の客Ｂは第２の箸５０１ｂを使用し、第３の客Ｃは第３の箸５０１ｃを使用し、第４の客Ｄは第４の箸５０１ｄを使用するものとする。 In Embodiment 1 below, as an example, four customers (a first customer A, a second customer B, a third customer C, and a fourth customer D) visit a restaurant. Assume that you eat and drink at a desk like the one shown in 6. Note that the first customer A uses the first chopsticks 501a, the second customer B uses the second chopsticks 501b, the third customer C uses the third chopsticks 501c, and the fourth customer C uses the third chopsticks 501c. It is assumed that customer D uses the fourth chopstick 501d.
　生体情報通知装置２の詳細について説明する。
　図４に示すように、生体情報通知装置２は、飲酒状態推定装置１、存否情報取得部２１、割当部２２、出力内容決定部２３、および、出力部２４を備える。
　飲酒状態推定装置１の詳細については、後述する。 The details of the biological information notification device 2 will be explained.
As shown in FIG. 4, the biological information notification device 2 includes a drinking state estimation device 1, a presence/absence information acquisition section 21, an allocation section 22, an output content determination section 23, and an output section 24.
Details of the drinking state estimation device 1 will be described later.
　存否情報取得部２１は、着座検知センサ３から存否情報を取得する。
　ここでは、例えば、存否情報には、アルコール濃度検知センサ５毎に、アルコール濃度検知センサ５の識別番号に関する情報とアルコール濃度検知センサ５の位置に関する情報とが対応付けられた情報が含まれる。また、存否情報において、識別番号に関する情報には、対となる相手のアルコール濃度検知センサ５の識別番号の情報が付与されている。例えば、アルコール濃度検知センサ５－１の識別番号に関する情報には、アルコール濃度検知センサ５－２の識別番号の情報が付与されている。
　存否情報取得部２１は、取得した存否情報を、割当部２２に出力する。 The presence/absence information acquisition unit 21 acquires presence/absence information from the seating detection sensor 3 .
Here, for example, the presence/absence information includes, for each alcohol concentration detection sensor 5, information in which information regarding the identification number of the alcohol concentration detection sensor 5 and information regarding the position of the alcohol concentration detection sensor 5 are associated with each other. Further, in the presence/absence information, information on the identification number of the partner alcohol concentration detection sensor 5 is added to the information regarding the identification number. For example, information regarding the identification number of the alcohol concentration detection sensor 5-2 is added to the information regarding the identification number of the alcohol concentration detection sensor 5-1.
The presence/absence information acquisition unit 21 outputs the acquired presence/absence information to the allocation unit 22.
　割当部２２は、存否情報取得部２１から出力された存否情報に基づき客を特定し、客毎にキャラクターを割り当てる。割当部２２が割当可能なキャラクターは予め決められており、当該キャラクターに関する情報は、割当部２２が参照可能な場所に記憶されている。割当部２２は、例えば、ランダムに、客毎のキャラクターを割り当てればよい。 The assignment unit 22 identifies customers based on the presence/absence information output from the presence/absence information acquisition unit 21 and assigns a character to each customer. Characters that can be assigned by the assignment unit 22 are determined in advance, and information regarding the characters is stored in a location that can be referenced by the assignment unit 22. The assigning unit 22 may, for example, randomly assign a character to each customer.
　ここでは、割当部２２は、第１の客Ａ、第２の客Ｂ、第３の客Ｃ、および、第４の客Ｄに、それぞれ、キャラクターを割り当てる。例えば、割当部２２は、第１の客Ａには猫のキャラクター、第２の客Ｂには豚のキャラクター、第３の客Ｃには忍者のキャラクター、第４の客Ｄには犬のキャラクターを、それぞれ割り当てるとする。 Here, the assignment unit 22 assigns characters to the first customer A, the second customer B, the third customer C, and the fourth customer D, respectively. For example, the assignment unit 22 assigns a cat character to the first customer A, a pig character to the second customer B, a ninja character to the third customer C, and a dog character to the fourth customer D. , respectively.
　割当部２２は、キャラクターを割り当てると、割り当てたキャラクターに関する情報（以下「割当情報」という。）を生成する。
　割当情報には、客の位置を示す情報と、アルコール濃度検知センサ５の識別番号に関する情報と、当該客に割り当てたキャラクターを示す情報とが含まれる。アルコール濃度検知センサ５の識別番号に関する情報には、対となるアルコール濃度検知センサ５の識別番号の情報が付与されている。
　上述のとおり、存否情報には、アルコール濃度検知センサ５の識別番号に関する情報と、アルコール濃度検知センサ５の位置に関する情報が含まれる。よって、割当部２２は、存否情報に基づけば、客の人数、客が存在している位置、および、対となるアルコール濃度検知センサ５の組み合わせを特定できる。割当部２２は、客の位置を、例えば、アルコール濃度検知センサ５の位置で示すものとすればよい。 When assigning a character, the assignment unit 22 generates information regarding the assigned character (hereinafter referred to as "assignment information").
The assignment information includes information indicating the customer's location, information regarding the identification number of the alcohol concentration detection sensor 5, and information indicating the character assigned to the customer. The information regarding the identification number of the alcohol concentration detection sensor 5 is provided with information about the identification number of the alcohol concentration detection sensor 5 serving as a pair.
As described above, the presence/absence information includes information regarding the identification number of the alcohol concentration detection sensor 5 and information regarding the position of the alcohol concentration detection sensor 5. Therefore, the allocation unit 22 can specify the number of customers, the location where the customers are present, and the combination of the paired alcohol concentration detection sensors 5 based on the presence/absence information. The allocation unit 22 may indicate the customer's position by, for example, the position of the alcohol concentration detection sensor 5.
　ここでは、割当部２２は、例えば、第１の客Ａについて、アルコール濃度検知センサ５－１の位置を示す情報と、アルコール濃度検知センサ５－１の識別番号に関する情報と、猫のキャラクターを示す情報とを、割当情報に含める。割当部２２は、アルコール濃度検知センサ５－１の識別番号に関する情報には、対となるアルコール濃度検知センサ５－２の情報を付与する。
　割当部２２は、割当情報を、出力内容決定部２３および飲酒状態推定装置１の推定部１２に出力する。 Here, for example, for the first customer A, the allocation unit 22 includes information indicating the position of the alcohol concentration detection sensor 5-1, information regarding the identification number of the alcohol concentration detection sensor 5-1, and information indicating the cat character. information is included in the allocation information. The allocation unit 22 assigns information about the paired alcohol concentration detection sensor 5-2 to the information regarding the identification number of the alcohol concentration detection sensor 5-1.
The allocation unit 22 outputs the allocation information to the output content determination unit 23 and the estimation unit 12 of the drinking state estimation device 1.
　出力内容決定部２３および出力部２４の詳細については後述することとし、ここで、実施の形態１に係る飲酒状態推定装置１の構成例について説明する。 The details of the output content determination unit 23 and the output unit 24 will be described later, and an example of the configuration of the drinking state estimation device 1 according to the first embodiment will now be described.
　図４に示すように、飲酒状態推定装置１は、アルコール濃度情報取得部１１、推定部１２、および、濃度情報記憶部１３を備える。 As shown in FIG. 4, the drinking state estimation device 1 includes an alcohol concentration information acquisition section 11, an estimation section 12, and a concentration information storage section 13.
　アルコール濃度情報取得部１１は、アルコール濃度検知センサ５から、飲食店内の客の血中アルコール濃度を示すアルコール濃度情報を取得する。 The alcohol concentration information acquisition unit 11 acquires alcohol concentration information indicating the blood alcohol concentration of customers in the restaurant from the alcohol concentration detection sensor 5.
　ここでは、アルコール濃度情報取得部１１は、アルコール濃度検知センサ５から、第１の客Ａ、第２の客Ｂ、第３の客Ｃ、および、第４の客Ｄの血中アルコール濃度を示すアルコール濃度情報を取得する。 Here, the alcohol concentration information acquisition unit 11 indicates the blood alcohol concentrations of the first customer A, the second customer B, the third customer C, and the fourth customer D from the alcohol concentration detection sensor 5. Obtain alcohol concentration information.
　アルコール濃度情報取得部１１は、取得したアルコール濃度情報を、当該アルコール濃度情報の取得日時と対応付けて、濃度情報記憶部１３に記憶させるとともに、推定部１２に出力する。 The alcohol concentration information acquisition unit 11 stores the acquired alcohol concentration information in the concentration information storage unit 13 in association with the acquisition date and time of the alcohol concentration information, and outputs it to the estimation unit 12.
　推定部１２は、アルコール濃度情報取得部１１が取得したアルコール濃度情報に基づいて、客の飲酒状態、言い換えれば、予測時間後の客の酒酔い度を推定する。詳細には、推定部１２は、客について、予め設定された期間（以下「第１期間」という。）分の時系列のアルコール濃度情報に基づき、予測時間後の客の酒酔い度を推定する。なお、推定部１２は、客毎に酒酔い度を推定する。
　実施の形態１において、どれぐらいの期間を「予測時間」とするかは、適宜設定可能である。
　また、実施の形態１において、「第１期間」は、客が来店後、タブレット端末１００が最初に注文を受け付けてから現在までの期間とする。推定部１２は、濃度情報記憶部１３に記憶されているアルコール濃度情報を、第１期間分のアルコール濃度情報とすればよい。上述のとおり、客が来店し、タブレット端末１００が注文を受け付けると、タブレット端末１００からアルコール濃度検知センサ５に対して濃度取得開始指示が出力される。アルコール濃度情報取得部１１がアルコール濃度検知センサ５から取得し、濃度情報記憶部１３に記憶させるアルコール濃度情報は、タブレット端末１００が最初に注文を受け付けてから現在までに取得されたアルコール濃度情報ということになる。なお、濃度情報記憶部１３に記憶されているアルコール濃度情報は、例えば、タブレット端末１００の電源がオンにされたとき、または、タブレット端末１００の電源がオフにされたときに初期化される。 The estimation unit 12 estimates the customer's drinking state, in other words, the customer's degree of drunkenness after the predicted time, based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit 11. Specifically, the estimating unit 12 estimates the customer's degree of drunkenness after the predicted time based on time-series alcohol concentration information for a preset period (hereinafter referred to as "first period") regarding the customer. . Note that the estimation unit 12 estimates the degree of drunkenness for each customer.
In the first embodiment, it is possible to set the period of time to be the "prediction time" as appropriate.
Furthermore, in the first embodiment, the "first period" is the period from when the tablet terminal 100 first receives an order after the customer visits the store until now. The estimation unit 12 may use the alcohol concentration information stored in the concentration information storage unit 13 as the alcohol concentration information for the first period. As described above, when a customer comes to the store and the tablet terminal 100 receives an order, the tablet terminal 100 outputs a concentration acquisition start instruction to the alcohol concentration detection sensor 5. The alcohol concentration information acquired by the alcohol concentration information acquisition unit 11 from the alcohol concentration detection sensor 5 and stored in the concentration information storage unit 13 is referred to as alcohol concentration information acquired from the time when the tablet terminal 100 first received an order until now. It turns out. Note that the alcohol concentration information stored in the concentration information storage unit 13 is initialized, for example, when the power of the tablet terminal 100 is turned on or when the power of the tablet terminal 100 is turned off.
　推定部１２は、濃度情報記憶部１３を参照し、第１期間分の時系列のアルコール濃度情報を取得する。なお、濃度情報記憶部１３には、現在のアルコール濃度情報しか記憶されていない場合もあり得る。この場合は、推定部１２は、例えば、濃度情報記憶部１３に複数のアルコール濃度情報が記憶されるまで待機する。 The estimation unit 12 refers to the concentration information storage unit 13 and obtains time-series alcohol concentration information for the first period. Note that the concentration information storage unit 13 may store only current alcohol concentration information. In this case, the estimation unit 12 waits until a plurality of pieces of alcohol concentration information are stored in the concentration information storage unit 13, for example.
　そして、推定部１２は、取得した第１期間分の時系列のアルコール濃度情報に基づいて、予測時間後の客の酒酔い度を推定する。
　このとき、推定部１２は、客毎に、予測時間後の酒酔い度を推定する。ここでは、推定部１２は、第１の客Ａ、第２の客Ｂ、第３の客Ｃ、および、第４の客Ｄそれぞれについて、予測時間後の酒酔い度を推定する。
　なお、推定部１２は、生体情報通知装置２から出力された割当情報に基づけば、客を特定できる。詳細には、客の位置に対応するアルコール濃度検知センサ５の組を特定できる。推定部１２は、特定した組のアルコール濃度情報から、客毎の予測時間後の酒酔い度を推定すればよい。推定部１２は、例えば、対となるアルコール濃度情報のうちいずれか一方を選択し、選択したアルコール濃度情報から客毎の予測時間後の酒酔い度を推定する。推定部１２は、例えば、対となるアルコール濃度情報で示される血中アルコール濃度の平均値を、客毎の血中アルコール濃度として、客毎の予測時間後の酒酔い度を推定してもよい。
　実施の形態１では、一例として、推定部１２は、対となるアルコール濃度情報のうちいずれか一方を選択して客毎の予測時間後の酒酔い度を推定するものとする。 Then, the estimation unit 12 estimates the degree of drunkenness of the customer after the predicted time based on the acquired time-series alcohol concentration information for the first period.
At this time, the estimation unit 12 estimates the degree of drunkenness after the predicted time for each customer. Here, the estimation unit 12 estimates the degree of drunkenness after the predicted time for each of the first customer A, the second customer B, the third customer C, and the fourth customer D.
Note that the estimation unit 12 can identify the customer based on the allocation information output from the biometric information notification device 2. Specifically, the set of alcohol concentration detection sensors 5 corresponding to the customer's location can be specified. The estimation unit 12 may estimate the degree of drunkenness after the predicted time for each customer from the specified set of alcohol concentration information. For example, the estimation unit 12 selects one of the paired pieces of alcohol concentration information, and estimates the degree of drunkenness after the predicted time for each customer from the selected alcohol concentration information. For example, the estimation unit 12 may estimate the degree of drunkenness after the predicted time for each customer by using the average value of the blood alcohol concentration indicated by the paired alcohol concentration information as the blood alcohol concentration for each customer. .
In Embodiment 1, as an example, the estimating unit 12 selects one of the pairs of alcohol concentration information to estimate the degree of drunkenness after the predicted time for each customer.
　推定部１２による、第１期間分の時系列のアルコール濃度情報に基づく酒酔い度の推定方法の一例について、説明する。
　推定部１２は、まず、第１期間分の時系列のアルコール濃度情報に基づき、予測時間後の客の血中アルコール濃度（以下「血中アルコール濃度の予測値」という。）を予測する。
　推定部１２は、例えば、現在までの血中アルコール濃度の上昇具合いが継続すると想定して、血中アルコール濃度の予測値を予測すればよい。推定部１２は、例えば、第１期間の血中アルコール濃度の上昇具合を示す情報を入力とし、予測時間後の血中アルコール濃度の予測値を示す情報を出力する、機械学習における学習済みのモデル（以下「機械学習モデル」という。）を用いて、血中アルコール濃度の予測値を予測してもよい。機械学習モデルは予め生成され、推定部１２が参照可能な場所に記憶されている。 An example of a method for estimating the degree of drunkenness based on time-series alcohol concentration information for the first period by the estimation unit 12 will be described.
The estimating unit 12 first predicts the blood alcohol concentration of the customer after the predicted time (hereinafter referred to as "predicted value of blood alcohol concentration") based on the time-series alcohol concentration information for the first period.
For example, the estimation unit 12 may predict the predicted value of the blood alcohol concentration by assuming that the current increase in the blood alcohol concentration will continue. The estimation unit 12 is, for example, a trained model in machine learning that inputs information indicating how the blood alcohol concentration increases in the first period and outputs information indicating the predicted value of the blood alcohol concentration after the prediction time. (hereinafter referred to as a "machine learning model") may be used to predict the predicted value of blood alcohol concentration. The machine learning model is generated in advance and stored in a location that can be referenced by the estimation unit 12.
　推定部１２は、血中アルコール濃度の予測値を予測すると、予測した血中アルコール濃度の予測値に基づき、予測時間後の客の酒酔い度を推定する。
　例えば、予め、血中アルコール濃度の範囲と酒酔い度とが対応付けられた酒酔い度推定用情報が生成され、推定部１２に保持されている。
　図７は、実施の形態１において推定部１２が酒酔い度の推定に用いる酒酔い度推定用情報の一例を示す図である。
　図７に示すように、実施の形態１において、酒酔い度は、例えば、「１（爽快）」、「２（ほろ酔い）」、「３（酩酊初期）」、「４（酩酊）」、および、「５（泥酔）」の５段階であらわされるものとする。すなわち、実施の形態１において、客の飲酒状態は、５段階であらわされるものとする。
　推定部１２は、血中アルコール濃度の予測値と酒酔い度推定用情報とをつきあわせて、酒酔い度を推定する。 After predicting the predicted value of blood alcohol concentration, the estimation unit 12 estimates the degree of drunkenness of the customer after the predicted time based on the predicted value of blood alcohol concentration.
For example, drunkenness degree estimation information in which a blood alcohol concentration range and a drunkenness degree are associated with each other is generated in advance and held in the estimation unit 12.
FIG. 7 is a diagram showing an example of drunkenness level estimation information used by the estimation unit 12 to estimate the drunkenness level in the first embodiment.
As shown in FIG. 7, in the first embodiment, the degree of drunkenness is, for example, “1 (exhilarating),” “2 (tipsy),” “3 (early drunkenness),” “4 (drunken),” and , "5 (drunk)". That is, in the first embodiment, it is assumed that the customer's drinking state is expressed in five stages.
The estimation unit 12 compares the predicted value of the blood alcohol concentration with the information for estimating the degree of drunkenness, and estimates the degree of drunkenness.
　今、例えば、第１の客Ａの酒酔い度は０．０３（％）、第２の客Ｂの酒酔い度は０．０６（％）、第３の客Ｃの酒酔い度は０．２９（％）、第４の客Ｄの酒酔い度は０．１１（％）であったとする。この場合、推定部１２は、第１の客Ａの予測時間後の酒酔い度は「１（爽快）」、第２の客Ｂの予測時間後の酒酔い度は「２（ほろ酔い）」、第３の客Ｃの予測時間後の酒酔い度は「４（酩酊）」、第４の客Ｄの予測時間後の酒酔い度は「３（酩酊初期）」と推定する。 Now, for example, the degree of drunkenness of the first customer A is 0.03 (%), the degree of drunkenness of the second customer B is 0.06 (%), and the degree of drunkenness of the third customer C is 0.03 (%). 29 (%), and the fourth customer D's drunkenness level is 0.11 (%). In this case, the estimation unit 12 determines that the degree of drunkenness of the first customer A after the predicted time is "1 (exhilarating)", the degree of drunkenness of the second customer B after the predicted time is "2 (tipsy)", The degree of drunkenness of the third customer C after the predicted time is estimated to be "4 (drunkenness)," and the degree of drunkenness of the fourth customer D after the predicted time is estimated to be "3 (initial drunkenness)."
　推定部１２は、推定した酒酔い度に関する情報（以下「酒酔い情報」という。）を生成し、生成した酒酔い情報を、生体情報通知装置２の出力内容決定部２３に出力する。
　酒酔い情報は、客（ここでは、第１の客Ａ、第２の客Ｂ、第３の客Ｃ、および、第４の客Ｄ）毎に、客の位置を示す情報と当該客の酒酔い度とが対応付けられた情報を含む。なお、推定部１２は、客の位置を、アルコール濃度検知センサ５の位置とすればよい。推定部１２は、当該客の位置を、割当情報から特定できる。 The estimation unit 12 generates information regarding the estimated degree of drunkenness (hereinafter referred to as “drunkenness information”), and outputs the generated drunkenness information to the output content determination unit 23 of the biological information notification device 2.
The drunkenness information includes, for each customer (here, the first customer A, second customer B, third customer C, and fourth customer D), information indicating the customer's location and the customer's alcoholic beverages. Contains information associated with the degree of intoxication. Note that the estimation unit 12 may set the customer's position to the position of the alcohol concentration detection sensor 5. The estimation unit 12 can identify the location of the customer from the assignment information.
　出力内容決定部２３は、推定部１２が推定した予測時間後の客の酒酔い度に基づき出力内容を決定し、割当部２２が割り当てたキャラクターを、決定した出力内容に応じた形態で表示させるための出力制御情報を生成する。
　なお、出力内容決定部２３は、推定部１２から出力された酒酔い情報と割当部２２から出力された割当情報とに基づけば、客毎に、予測時間後の酒酔い度、および、どのキャラクターが割り当てられているかを特定できる。
　詳細には、出力内容決定部２３は、まず、客毎に、飲酒状態推定装置１の推定部１２が推定した予測時間後の酒酔い度が予め設定された閾値（以下「飲酒判定用閾値」という。）以上であるか否かを判定する。
　例えば、飲酒判定用閾値には、これ以上のアルコールの摂取は生命にかかわると想定される酩酊状態を示す値（酒酔い度＝「４」）が設定される。 The output content determination unit 23 determines the output content based on the degree of drunkenness of the customer after the predicted time estimated by the estimation unit 12, and displays the character assigned by the allocation unit 22 in a form corresponding to the determined output content. Generate output control information for
Note that, based on the drunkenness information output from the estimation unit 12 and the allocation information output from the allocation unit 22, the output content determination unit 23 determines, for each customer, the degree of drunkenness after the predicted time and which character. It can be determined whether the
In detail, the output content determining unit 23 first determines, for each customer, that the level of drunkenness after the predicted time estimated by the estimating unit 12 of the drinking state estimating device 1 is a preset threshold (hereinafter referred to as a “drinking determination threshold”). ) or more.
For example, the drinking alcohol determination threshold is set to a value (drunkenness level = "4") indicating a state of drunkenness for which it is assumed that ingesting more alcohol will be life-threatening.
　出力内容決定部２３は、予測時間後の酒酔い度が飲酒判定用閾値以上であると判定した場合、客に対して、近い将来過度のアルコール摂取状態に陥ることを警告すると決定する。出力内容決定部２３は、近い将来過度のアルコール摂取状態に陥ることを警告する形態でキャラクターを表示させるための出力制御情報を生成する。そして、出力内容決定部２３は、生成した出力制御情報を、出力部２４を介して出力装置４１，４２に出力する。これにより、出力内容決定部２３は、出力装置４１，４２に、決定した出力内容に応じた情報を表示させる。
　一方、出力内容決定部２３は、予測時間後の酒酔い度が飲酒判定用閾値未満である場合、客に対して飲酒状態を通知すると決定する。出力内容決定部２３は、予測時間後の酒酔い度に応じた形態でキャラクターを表示させるための出力制御情報を生成する。そして、出力内容決定部２３は、生成した出力制御情報を、出力部２４を介して出力装置４１，４２に出力する。これにより、出力内容決定部２３は、出力装置４１，４２に、決定した出力内容に応じた情報を表示させる。 If the output content determination unit 23 determines that the degree of drunkenness after the predicted time is equal to or higher than the threshold for determining alcohol consumption, the output content determination unit 23 determines to warn the customer that he or she will be in a state of excessive alcohol intake in the near future. The output content determining unit 23 generates output control information for displaying a character in a form that warns the user of excessive alcohol intake in the near future. Then, the output content determining unit 23 outputs the generated output control information to the output devices 41 and 42 via the output unit 24. Thereby, the output content determining unit 23 causes the output devices 41 and 42 to display information according to the determined output content.
On the other hand, if the degree of drunkenness after the predicted time is less than the threshold for determining drunkenness, the output content determining unit 23 determines to notify the customer of the drunken state. The output content determining unit 23 generates output control information for displaying the character in a form corresponding to the degree of drunkenness after the predicted time. Then, the output content determining unit 23 outputs the generated output control information to the output devices 41 and 42 via the output unit 24. Thereby, the output content determining unit 23 causes the output devices 41 and 42 to display information according to the determined output content.
　今、推定部１２は、第１の客Ａの予測時間後の酒酔い度は「１（爽快）」、第２の客Ｂの予測時間後の酒酔い度は「２（ほろ酔い）」、第３の客Ｃの予測時間後の酒酔い度は「４（酩酊）」、第４の客Ｄの予測時間後の酒酔い度は「３（酩酊初期）」と推定したとしている。また、飲酒判定用閾値は「４」としている。すなわち、第１の客Ａ、第２の客Ｂ、および、第４の客Ｄについては、推定部１２が推定した予測時間後の酒酔い度は飲酒判定用閾値未満であり、第３の客Ｃについては、推定部１２が推定した予測時間後の酒酔い度は飲酒判定用閾値以上である。
　このとき、出力内容決定部２３は、近い将来過度のアルコール摂取状態に陥ることを警告する形態で第３の客Ｃに対応する忍者のキャラクターを表示させ、第１の客Ａの予測時間後の酒酔い度に応じた形態で第１の客Ａに対応する猫のキャラクターを表示させ、第２の客Ｂの予測時間後の酒酔い度に応じた形態で第２の客Ｂに対応する豚のキャラクターを表示させ、第４の客Ｄの予測時間後の酒酔い度に応じた形態で第４の客Ｄに対応する犬のキャラクターを表示させるための出力制御情報を生成する。
　なお、出力内容決定部２３が、予測時間後の酒酔い度がどの段階である場合にキャラクターの形態をどのような形態とするかは、予め決められている。 Now, the estimating unit 12 determines that the degree of drunkenness of the first customer A after the predicted time is "1 (exhilarating)", the degree of drunkenness of the second customer B after the predicted time is "2 (tipsy)", and the degree of drunkenness of the second customer B after the predicted time is "2 (tipsy)". The degree of drunkenness of the third customer C after the predicted time is estimated to be "4 (drunkenness)" and the degree of drunkenness of the fourth customer D after the predicted time is estimated to be "3 (initial drunkenness)". Further, the threshold value for determining alcohol consumption is set to "4". That is, for the first customer A, the second customer B, and the fourth customer D, the degree of drunkenness after the predicted time estimated by the estimation unit 12 is less than the threshold for determining alcohol consumption, and the third customer Regarding C, the degree of drunkenness after the predicted time estimated by the estimation unit 12 is greater than or equal to the threshold for determining alcohol consumption.
At this time, the output content determining unit 23 displays a ninja character corresponding to the third customer C in the form of a warning that he will fall into a state of excessive alcohol intake in the near future, and displays the ninja character corresponding to the third customer C after the predicted time of the first customer A. A cat character corresponding to the first customer A is displayed in a form according to the degree of drunkenness, and a pig character corresponding to the second customer B is displayed in a form according to the degree of drunkenness after the predicted time of the second customer B. output control information for displaying a dog character corresponding to the fourth customer D in a form according to the degree of drunkenness of the fourth customer D after the predicted time.
Note that the output content determining unit 23 determines in advance what form the character will take at which stage the degree of drunkenness will be after the predicted time.
　出力部２４は、出力内容決定部２３から出力された出力制御情報を、出力装置４１に出力する。出力部２４は、出力内容決定部２３から出力された出力制御情報を、出力装置４２に出力してもよい。
　出力制御情報の出力先となる出力装置４１，４２は、出力制御情報に基づく画面を表示させる。 The output unit 24 outputs the output control information output from the output content determining unit 23 to the output device 41. The output unit 24 may output the output control information output from the output content determining unit 23 to the output device 42.
The output devices 41 and 42 to which the output control information is output display screens based on the output control information.
　ここで、図８Ａ、図８Ｂ、図８Ｃ、および、図８Ｄは、実施の形態１において、出力装置４１が出力制御情報に基づいて表示させた表示画面の一例を示す図である。
　図８Ａ、図８Ｂ、図８Ｃ、および、図８Ｄは、一例として、客が第１の客Ａ、第２の客Ｂ、第３の客Ｃ、および、第４の客Ｄであった場合の表示画面の一例としている。
　ここでは、出力制御情報において、第１の客Ａの予測時間後の酒酔い度に応じた形態には「１（爽快）」に応じた形態、第３の客Ｃの予測時間後の酒酔い度に応じた形態には「２（ほろ酔い）」に応じた形態、第４の客Ｄの予測時間後の酒酔い度に応じた形態には「３（酩酊初期）」に応じた形態が設定されている。
　したがって、出力装置４１の表示画面において、猫のキャラクターは、爽快さをあらわす、楽しそうな表情（笑顔）で表示される（図８ＡのＡ参照）。また、出力装置４１の表示画面において、豚のキャラクターは、ほろ酔いをあらわす、楽しく小躍りした様子で表示される（図８ＡのＢ参照）。また、出力装置４１の表示画面において、犬のキャラクターは、酩酊初期をあらわす、表情がなく心臓に手を当てた様子で表示される（図８ＡのＤ参照）。
　また、出力制御情報において、第３の客Ｃに対応する忍者のキャラクターは、近い将来過度のアルコール摂取状態に陥ることを警告する形態で表示させることとなっている。したがって、出力装置４１の表示画面において、忍者のキャラクターは、これ以上飲めないことを警告するよう、手を「×」にした様子で表示される（図８ＡのＣ参照）。
　このように、生体情報通知装置２は、客に対して、自分の飲酒状態をわからせることができる。その結果、客は、自分が、近い将来過度のアルコール摂取状態に陥りそうな状態であることを把握できる。また、生体情報通知装置２は、キャラクターを用いて客の飲酒状態に関する情報を提供することで、客に対して、他人から注意されるよりも冷静に飲酒状態に関するアドバイスを受け入れられるようにできる。 Here, FIGS. 8A, 8B, 8C, and 8D are diagrams showing examples of display screens displayed by the output device 41 based on output control information in the first embodiment.
8A, FIG. 8B, FIG. 8C, and FIG. 8D show, as an example, the case where the customers are a first customer A, a second customer B, a third customer C, and a fourth customer D. This is an example of a display screen.
Here, in the output control information, the form corresponding to the degree of drunkenness after the predicted time of the first customer A is the form corresponding to "1 (exhilarating)", and the form corresponding to the degree of drunkenness after the predicted time of the third customer C is The form corresponding to "2 (tipsy)" is set according to the degree of drunkenness, and the form corresponding to "3 (early drunkenness)" is set according to the degree of drunkenness after the predicted time of the fourth customer D. has been done.
Therefore, on the display screen of the output device 41, the cat character is displayed with a happy expression (smiling face) representing exhilaration (see A in FIG. 8A). In addition, on the display screen of the output device 41, the pig character is displayed in a happy and dancing manner, indicating that the pig character is tipsy (see B in FIG. 8A). Furthermore, on the display screen of the output device 41, the dog character is displayed with no facial expression and with his hand on his heart, indicating the early stage of drunkenness (see D in FIG. 8A).
Further, in the output control information, the ninja character corresponding to the third customer C is to be displayed in the form of a warning that he will fall into a state of excessive alcohol intake in the near future. Therefore, on the display screen of the output device 41, the ninja character is displayed with his hands turned into an "X" to warn that he cannot drink any more (see C in FIG. 8A).
In this way, the biological information notification device 2 can make the customer aware of his/her drinking status. As a result, the customer can understand that he or she is likely to fall into a state of excessive alcohol consumption in the near future. Furthermore, by providing information regarding the customer's drinking status using characters, the biological information notification device 2 can allow the customer to accept advice regarding the customer's drinking status calmly rather than being warned by others.
　例えば、出力内容決定部２３は、図８Ｂに示すような表示画面を表示させるための出力制御情報を生成してもよい。
　図８Ｂに示す表示画面例では、キャラクターに加え、机およびタブレット端末１００が表示されている。なお、この場合、出力内容決定部２３は、出力制御情報に、各キャラクターを机のどの位置に表示させるかを示す情報を含めるようにする。出力内容決定部２３は、実際の客の机に対する位置に対応する位置に、各キャラクターを表示させるようにする。
　キャラクターに加え、机およびタブレット端末１００を表示させることで、生体情報通知装置２は、客に対して、自分にはどのキャラクターが割り当てられているか、言い換えれば、どのキャラクターが自分の飲酒状態を示しているかを、直感的にわからせることができる。 For example, the output content determining unit 23 may generate output control information for displaying a display screen as shown in FIG. 8B.
In the display screen example shown in FIG. 8B, in addition to the character, a desk and the tablet terminal 100 are displayed. In this case, the output content determining unit 23 causes the output control information to include information indicating where on the desk each character is to be displayed. The output content determining unit 23 displays each character at a position corresponding to the position of the actual customer with respect to the desk.
By displaying the desk and the tablet terminal 100 in addition to the character, the biometric information notification device 2 can tell the customer which character is assigned to him or her, or in other words, which character shows his or her drinking status. You can intuitively understand what is happening.
　また、例えば、出力内容決定部２３は、表示画面にメッセージを表示させることもできる。例えば、出力内容決定部２３は、近い将来過度のアルコール摂取状態に陥ることを警告する形態で表示させるキャラクターについては、あわせて、「もう飲めないよ」等の警告メッセージをあわせて表示させてもよい（図８Ｃ参照）。
　出力内容決定部２３は、例えば、忍者のキャラクターが「もう飲めないよ」と話しているように当該キャラクターを表示させるための出力制御情報を生成する。
　キャラクターに加え、メッセージを表示させることで、生体情報通知装置２は、より明確に、客に対して、近い将来過度のアルコール摂取状態に陥ることをわからせることができる。 Further, for example, the output content determining unit 23 can also display a message on the display screen. For example, for a character to be displayed in the form of a warning that the character will be in a state of excessive alcohol intake in the near future, the output content determination unit 23 may also display a warning message such as "I can't drink anymore". Good (see Figure 8C).
The output content determining unit 23 generates output control information for displaying, for example, a ninja character saying, "I can't drink anymore."
By displaying a message in addition to the character, the biological information notification device 2 can more clearly inform the customer that he or she will be in a state of excessive alcohol consumption in the near future.
　また、例えば、出力内容決定部２３は、客の飲酒量を、キャラクターと対応付けて表示させることもできる。例えば、出力内容決定部２３は、血中アルコール濃度から、客の飲酒量を算出すればよい。血中アルコール濃度に基づく客の飲酒量の算出式は、予め決められているものとする。
　出力内容決定部２３は、推定部１２が推定した客の血中アルコール濃度の予測値から客の飲酒量を算出してもよいし、現在の客の血中アルコール濃度から客の飲酒量を算出してもよい。
　出力内容決定部２３が血中アルコール濃度の予測値から客の飲酒量を算出する場合、例えば、推定部１２は、酒酔い情報に、客毎の血中アルコール濃度の予測値の情報を含めるようにする。また、出力内容決定部２３が現在の客の血中アルコール濃度から客の飲酒量を算出する場合、例えば、推定部１２は、酒酔い情報にアルコール濃度情報取得部１１から出力されたアルコール濃度情報を含めるようにする。出力内容決定部２３は、推定部１２から出力された酒酔い情報に基づいて、客毎の血中アルコール濃度を判定すればよい。 Further, for example, the output content determining unit 23 can display the amount of alcohol consumed by the customer in association with the character. For example, the output content determination unit 23 may calculate the amount of alcohol consumed by the customer based on the blood alcohol concentration. It is assumed that the formula for calculating the amount of alcohol consumed by the customer based on the blood alcohol concentration is determined in advance.
The output content determining unit 23 may calculate the customer's drinking amount from the predicted value of the customer's blood alcohol concentration estimated by the estimating unit 12, or calculate the customer's drinking amount from the customer's current blood alcohol concentration. You may.
When the output content determining unit 23 calculates the amount of alcohol consumed by a customer based on the predicted value of blood alcohol concentration, for example, the estimating unit 12 may include information on the predicted value of blood alcohol concentration for each customer in the drunkenness information. Make it. Further, when the output content determination unit 23 calculates the customer's drinking amount from the current blood alcohol concentration of the customer, for example, the estimation unit 12 adds the alcohol concentration information output from the alcohol concentration information acquisition unit 11 to the drunkenness information. Make sure to include The output content determining unit 23 may determine the blood alcohol concentration of each customer based on the drunkenness information output from the estimating unit 12.
　図８Ａ、図８Ｂ、図８Ｃ、および、図８Ｄに示すような表示画面は、出力内容決定部２３が出力部２４を介して出力装置４１に出力制御情報を出力して表示させた表示画面としているが、これは一例に過ぎず、出力内容決定部２３は、出力装置４２に出力制御情報を出力して、図８Ａ、図８Ｂ、図８Ｃ、または、図８Ｄに示すような表示画面を表示させてもよい。これにより、生体情報通知装置２は、店員に対して、客の飲酒状態をわからせることができる。その結果、店員は、近い将来過度のアルコール摂取状態に陥りそうな状態の客を検知できる。店員は、近い将来過度のアルコール摂取状態に陥りそうな状態の客に対して、例えば、アルコールの提供を停止することができる。
　なお、出力装置４２に図８Ａ、図８Ｂ、図８Ｃ、または、図８Ｄに示すような表示画面を表示させるとき、生体情報通知装置２は、例えば、タブレット端末１００固有の端末番号等、タブレット端末１００を特定可能な情報をあわせて表示してもよい。この場合、出力内容決定部２３は、出力制御情報に、タブレット端末１００を特定可能な情報を含める。タブレット端末１００を特定可能な情報は、予め出力内容決定部２３が参照可能な場所に記憶されている。 The display screens shown in FIGS. 8A, 8B, 8C, and 8D are the display screens that the output content determining unit 23 outputs and displays the output control information to the output device 41 via the output unit 24. However, this is just an example, and the output content determining unit 23 outputs the output control information to the output device 42 and displays a display screen as shown in FIG. 8A, FIG. 8B, FIG. 8C, or FIG. 8D. You may let them. Thereby, the biological information notification device 2 can inform the store clerk of the customer's drinking status. As a result, store staff can detect customers who are likely to drink too much alcohol in the near future. For example, a store clerk can stop serving alcohol to a customer who is likely to drink excessive alcohol in the near future.
Note that when the output device 42 displays a display screen as shown in FIG. 8A, FIG. 8B, FIG. 8C, or FIG. 100 may be displayed together with information that allows identification. In this case, the output content determining unit 23 includes information that can identify the tablet terminal 100 in the output control information. Information that can identify the tablet terminal 100 is stored in advance in a location that can be referenced by the output content determining unit 23.
　実施の形態１において、出力部２４の機能は、出力内容決定部２３が有していてもよい。 In the first embodiment, the output content determining unit 23 may have the function of the output unit 24.
　実施の形態１に係る飲酒状態推定装置１を備えた実施の形態１に係る生体情報通知装置２の動作について説明する。
　図９は、実施の形態１に係る飲酒状態推定装置１を備えた実施の形態１に係る生体情報通知装置２の動作について説明するためのフローチャートである。
　例えば、タブレット端末１００の電源がオンにされると、飲酒状態推定装置１および生体情報通知装置２は、図９のフローチャートで示すような動作を開始する。 The operation of the biological information notification device 2 according to the first embodiment, which includes the drinking state estimation device 1 according to the first embodiment, will be described.
FIG. 9 is a flowchart for explaining the operation of the biological information notification device 2 according to the first embodiment, which includes the drinking state estimation device 1 according to the first embodiment.
For example, when the power of the tablet terminal 100 is turned on, the drinking state estimation device 1 and the biological information notification device 2 start operations as shown in the flowchart of FIG.
　生体情報通知装置２の存否情報取得部２１は、着座検知センサ３から存否情報を取得する（ステップＳＴ１）。
　存否情報取得部２１は、取得した存否情報を、割当部２２に出力する。 The presence/absence information acquisition unit 21 of the biological information notification device 2 acquires presence/absence information from the seating detection sensor 3 (step ST1).
The presence/absence information acquisition unit 21 outputs the acquired presence/absence information to the allocation unit 22.
　割当部２２は、ステップＳＴ１にて存否情報取得部２１から出力された存否情報に基づき客を特定し、客毎にキャラクターを割り当てる（ステップＳＴ２）。
　割当部２２は、キャラクターを割り当てると、割当情報を生成し、割当情報を、出力内容決定部２３および飲酒状態推定装置１の推定部１２に出力する。 The assignment unit 22 identifies customers based on the presence/absence information outputted from the presence/absence information acquisition unit 21 in step ST1, and assigns a character to each customer (step ST2).
When assigning a character, the assignment unit 22 generates assignment information and outputs the assignment information to the output content determination unit 23 and the estimation unit 12 of the drinking state estimation device 1 .
　飲酒状態推定装置１のアルコール濃度情報取得部１１は、アルコール濃度検知センサ５から、飲食店内の客の血中アルコール濃度を示すアルコール濃度情報を取得する（ステップＳＴ３）。
　なお、上述のとおり、アルコール濃度検知センサ５は、生体情報通知装置２の発注部６２から濃度取得開始指示が出力されると、客の血中アルコール濃度の測定を開始する。アルコール濃度情報取得部１１は、アルコール濃度検知センサ５からアルコール濃度情報の出力されるまで、ステップＳＴ３の処理を繰り返して待機する。図９のフローチャートでは図示を省略しているが、図９のフローチャートの動作が行われる間、並行して、生体情報通知装置２の受付部６１は注文を受け付け、発注部６２は注文履歴情報を生成し、当該注文履歴情報の取得日時と対応付けて、注文履歴記憶部６３に記憶させるとともに、アルコール濃度検知センサ５に対して濃度取得開始指示を出力する。また、発注部６２は、注文履歴情報を、タブレット端末１００の外部のサーバに出力する。
　アルコール濃度情報取得部１１は、取得したアルコール濃度情報を、当該アルコール濃度情報の取得日時と対応付けて、濃度情報記憶部１３に記憶させるとともに、推定部１２に出力する。 The alcohol concentration information acquisition unit 11 of the drinking state estimating device 1 acquires alcohol concentration information indicating the blood alcohol concentration of the customer in the restaurant from the alcohol concentration detection sensor 5 (step ST3).
Note that, as described above, the alcohol concentration detection sensor 5 starts measuring the customer's blood alcohol concentration when the ordering unit 62 of the biological information notification device 2 outputs the concentration acquisition start instruction. The alcohol concentration information acquisition unit 11 repeats the process of step ST3 and waits until alcohol concentration information is output from the alcohol concentration detection sensor 5. Although illustration is omitted in the flowchart of FIG. 9, while the operation of the flowchart of FIG. It is stored in the order history storage unit 63 in association with the acquisition date and time of the order history information, and outputs an instruction to start concentration acquisition to the alcohol concentration detection sensor 5. Additionally, the ordering unit 62 outputs order history information to a server external to the tablet terminal 100.
The alcohol concentration information acquisition unit 11 stores the acquired alcohol concentration information in the concentration information storage unit 13 in association with the acquisition date and time of the alcohol concentration information, and outputs it to the estimation unit 12.
　飲酒状態推定装置１の推定部１２は、ステップＳＴ３にてアルコール濃度情報取得部１１が取得したアルコール濃度情報に基づいて、客の飲酒状態、言い換えれば、予測時間後の客の酒酔い度を推定する状態推定処理を行う（ステップＳＴ４）。 The estimation unit 12 of the drinking state estimating device 1 estimates the drinking state of the customer, in other words, the degree of drunkenness of the customer after the predicted time, based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit 11 in step ST3. A state estimation process is performed (step ST4).
　生体情報通知装置２の出力内容決定部２３は、ステップＳＴ４にて推定部１２が推定した予測時間後の客の酒酔い度に基づき出力内容を決定し、割当部２２が割り当てたキャラクターを、決定した出力内容に応じた形態で表示させるための出力制御情報を生成し、出力部２４を介して出力装置４１，４２に出力させるキャラクター表示処理を行う（ステップＳＴ５）。
　ステップＳＴ５の処理を行うと、生体情報通知装置２の動作は、ステップＳＴ３に戻る。 The output content determining unit 23 of the biological information notification device 2 determines the output content based on the degree of drunkenness of the customer after the predicted time estimated by the estimating unit 12 in step ST4, and determines the character assigned by the assigning unit 22. Output control information for displaying in a format corresponding to the output content is generated, and character display processing is performed to output it to the output devices 41 and 42 via the output unit 24 (step ST5).
After performing the process of step ST5, the operation of the biological information notification device 2 returns to step ST3.
　なお、ここでは、生体情報通知装置２の動作について、図９のステップＳＴ５の処理の後、ステップＳＴ３に戻り、以降の処理を繰り返すものとするが、これは一例に過ぎない。
　例えば、客同士で席が入れ替わることもあり得る。席が入れ替わる際には、客はそれまで使っていた自分の箸５０１を持って移動すると考えられる。
　そこで、生体情報通知装置２の動作は、例えば、図９のステップＳＴ５の処理の後、ステップＳＴ１に戻るようにしてもよい。なお、この場合、生体情報通知装置２において、割当部２２は、あるアルコール濃度検知センサ５の識別番号に対して割り当てるキャラクターが、それまで当該識別番号に対して割り当てられていたキャラクターと同じになるようにする。例えば、割当部２２は、前回作成した割当情報を記憶しておき、当該割当情報と、今回存否情報取得部２１から出力された存否情報とを、アルコール濃度検知センサ５の識別番号でつきあわせれば、今回確認されたある識別番号に対して、それまでどのキャラクターが割り当てられていたかを特定できる。
　これにより、生体情報通知装置２は、客同士で席が入れ替わることによって箸５０１、言い換えれば、アルコール濃度検知センサ５の位置の変更があったとしても、当該変更にあわせて、表示させるキャラクターの位置が変更されるようにできる。生体情報通知装置２は、客に対して、自分の席の移動に伴って、自分の飲酒状態をあらわすキャラクターも移動したと思わせることができる。客は、自分の飲酒状態をあらわすキャラクターが変わることによる混乱を起こさずに済む。 Here, regarding the operation of the biological information notification device 2, after the process of step ST5 in FIG. 9, the process returns to step ST3 and the subsequent processes are repeated, but this is only an example.
For example, seats may be swapped between customers. When the seats are changed, it is thought that the customer moves with his/her own chopsticks 501 that he/she was using until then.
Therefore, the operation of the biological information notification device 2 may be such that, for example, after the process of step ST5 in FIG. 9, the operation returns to step ST1. In this case, in the biological information notification device 2, the assignment unit 22 determines that the character assigned to the identification number of a certain alcohol concentration detection sensor 5 is the same as the character assigned to that identification number up until then. Do it like this. For example, if the allocation unit 22 stores the allocation information created last time and matches the allocation information with the presence/absence information output from the current presence/absence information acquisition unit 21 using the identification number of the alcohol concentration detection sensor 5, , it is possible to identify which character was previously assigned to a certain identification number that was confirmed this time.
As a result, even if the position of the chopsticks 501, in other words, the alcohol concentration detection sensor 5, is changed due to the change of seats between customers, the biometric information notification device 2 can adjust the position of the character to be displayed according to the change. can be changed. The biological information notification device 2 can make the customer think that the character representing his or her drinking state has also moved as the customer moves in his or her seat. Customers do not have to worry about confusion caused by characters representing their drinking status changing.
　図１０は、図９のステップＳＴ４における、推定部１２による状態推定処理の詳細を説明するためのフローチャートである。 FIG. 10 is a flowchart for explaining details of the state estimation process by the estimation unit 12 in step ST4 of FIG. 9.
　推定部１２は、濃度情報記憶部１３を参照し、第１期間分の時系列のアルコール濃度情報を取得する（ステップＳＴ４１）。 The estimating unit 12 refers to the concentration information storage unit 13 and obtains time-series alcohol concentration information for the first period (step ST41).
　推定部１２は、まず、第１期間分のアルコール濃度情報に基づき、予測時間後の客の血中アルコール濃度の予測値を予測する。
　推定部１２は、血中アルコール濃度の予測値を予測すると、予測した血中アルコール濃度の予測値に基づき、予測時間後の客の酒酔い度を推定する（ステップＳＴ４２）。
　推定部１２は、酒酔い情報を生成し、生成した酒酔い情報を、生体情報通知装置２の出力内容決定部２３に出力する。 The estimation unit 12 first predicts the predicted value of the customer's blood alcohol concentration after the predicted time based on the alcohol concentration information for the first period.
After estimating the predicted value of blood alcohol concentration, the estimation unit 12 estimates the degree of drunkenness of the customer after the predicted time based on the predicted value of blood alcohol concentration (step ST42).
The estimation unit 12 generates drunkenness information and outputs the generated drunkenness information to the output content determination unit 23 of the biological information notification device 2.
　図１１は、図９のステップＳＴ５における、出力内容決定部２３によるキャラクター表示処理の詳細を説明するためのフローチャートである。
　なお、出力内容決定部２３は、客毎に、図１１のステップＳＴ５１～ステップＳＴ５３の処理を行う。 FIG. 11 is a flowchart for explaining details of the character display process by the output content determination unit 23 in step ST5 of FIG.
Note that the output content determining unit 23 performs the processing of steps ST51 to ST53 in FIG. 11 for each customer.
　出力内容決定部２３は、まず、客毎に、飲酒状態推定装置１の推定部１２が推定した予測時間後の酒酔い度が飲酒判定用閾値以上であるか否かを判定する（ステップＳＴ５１）。 The output content determining unit 23 first determines, for each customer, whether the degree of drunkenness after the predicted time estimated by the estimating unit 12 of the drinking state estimating device 1 is equal to or higher than the threshold for determining drunkenness (step ST51). .
　出力内容決定部２３は、予測時間後の酒酔い度が飲酒判定用閾値以上であると判定した場合（ステップＳＴ５１の“ＹＥＳ”の場合）、客に対して、近い将来過度のアルコール摂取状態に陥ることを警告すると決定する。出力内容決定部２３は、近い将来過度のアルコール摂取状態に陥ることを警告する形態でキャラクターを表示させるための出力制御情報を生成する（ステップＳＴ５２）。 If the output content determining unit 23 determines that the degree of drunkenness after the predicted time is equal to or higher than the drinking determination threshold (“YES” in step ST51), the output content determination unit 23 warns the customer that he or she will be in a state of excessive alcohol intake in the near future. I decide to warn you of what is about to happen. The output content determining unit 23 generates output control information for displaying a character in a form that warns the user of excessive alcohol intake in the near future (step ST52).
　一方、出力内容決定部２３は、予測時間後の酒酔い度が飲酒判定用閾値未満であると判定した場合（ステップＳＴ５１の“ＮＯ”の場合）、客に対して飲酒状態を通知すると決定する。出力内容決定部２３は、予測時間後の酒酔い度に応じた形態でキャラクターを表示させるための出力制御情報を生成する（ステップＳＴ５３）。 On the other hand, if the output content determining unit 23 determines that the degree of drunkenness after the predicted time is less than the threshold for determining drunkenness (“NO” in step ST51), the output content determining unit 23 determines to notify the customer of the drunken state. . The output content determining unit 23 generates output control information for displaying the character in a form corresponding to the degree of drunkenness after the predicted time (step ST53).
　そして、出力内容決定部２３は、生成した出力制御情報を、出力部２４に出力する（ステップＳＴ５４）。
　出力部２４は、出力内容決定部２３から出力された出力制御情報を、出力装置４１，４２に出力する。
　出力装置４１，４２は、図８Ａ、図８Ｂ、図８Ｃ、または、図８Ｄで示したような、出力制御情報に基づく画面を表示する。
　上述のとおり、図１１のフローチャートで示される動作は、客が注文を行い、タブレット端末１００からアルコール濃度検知センサ５に対して濃度取得開始指示が出力される度に繰り返し行われることになる。例えば、客が摂取するアルコール量が増え、客の血中アルコール濃度が上昇するにつれ、客の血中アルコール濃度の予測値も上昇していくことになる。その結果、例えば、客の飲酒状態を通知するためのキャラクターも、次第に酔ったような形態で表示されるようになる。 Then, the output content determining unit 23 outputs the generated output control information to the output unit 24 (step ST54).
The output unit 24 outputs the output control information output from the output content determining unit 23 to the output devices 41 and 42.
The output devices 41 and 42 display screens based on output control information as shown in FIG. 8A, FIG. 8B, FIG. 8C, or FIG. 8D.
As described above, the operation shown in the flowchart of FIG. 11 is repeated every time a customer places an order and an instruction to start obtaining the concentration is output from the tablet terminal 100 to the alcohol concentration detection sensor 5. For example, as the amount of alcohol consumed by a customer increases and the customer's blood alcohol concentration increases, the predicted value of the customer's blood alcohol concentration will also increase. As a result, for example, a character used to notify a customer of a customer's drinking status will gradually be displayed in a drunken appearance.
　このように、実施の形態１に係る飲酒状態推定装置１は、客と接触する物体（客が使用する箸５０１）に設けられ客に光を照射し反射させて受光した反射光に基づいて客の血中アルコール濃度を計測するアルコール濃度検知センサ５からアルコール濃度情報を取得し、取得した、第１期間分の時系列のアルコール濃度情報に基づき、第１期間における血中アルコール濃度の上昇具合いから、予測時間後の客の酒酔い度を推定する。
　これにより、飲酒状態推定装置１は、飲食店における客について、当該客が複数であっても、それぞれ、飲酒状態を推定できる。
　人の飲酒状態を推定する方法としては、例えば、上述したような従来技術のように、呼気によって飲酒状態を推定する方法も挙げられる。しかし、同じ空間に複数の人が存在し、複数の人の呼気が交じり合う可能性があるような状況では、呼気からは個人を特定した飲酒状態の推定は行えない。
　これに対し、実施の形態１に係る飲酒状態推定装置１は、上述のとおり、客の飲酒状態を推定するにあたり、客の呼気は用いない。飲酒状態推定装置１は、客が使用する箸５０１に設けられていることで客と接触し、客の血中アルコール濃度を計測するアルコール濃度検知センサ５から取得したアルコール濃度情報に基づいて、客の飲酒状態、言い換えれば、予測時間後の客の酒酔い度を推定する。
　そのため、飲酒状態推定装置１は、客を区別して、客毎の予測時間後の酒酔い度を推定することができる。すなわち、飲酒状態推定装置１は、飲食店における客について、当該客が複数であっても、それぞれ、飲酒状態を推定できる。 As described above, the drinking state estimating device 1 according to the first embodiment is installed on an object that comes into contact with a customer (chopsticks 501 used by the customer), and estimates the customer based on the reflected light that is received by illuminating the customer with light. Alcohol concentration information is acquired from the alcohol concentration detection sensor 5 that measures the blood alcohol concentration of , to estimate the drunkenness level of the customer after the predicted time.
Thereby, the drinking state estimating device 1 can estimate the drinking state of each customer at a restaurant, even if there are a plurality of customers.
Examples of methods for estimating a person's drinking state include a method of estimating a person's drinking state based on exhaled breath, as in the prior art described above. However, in situations where there are multiple people in the same space and their exhaled breaths may mix, it is not possible to estimate the drinking status of an individual from their exhaled breath.
On the other hand, the drinking state estimating device 1 according to the first embodiment does not use the customer's breath when estimating the drinking state of the customer, as described above. The drinking state estimating device 1 is provided on chopsticks 501 used by the customer and comes into contact with the customer, and based on the alcohol concentration information obtained from the alcohol concentration detection sensor 5 that measures the blood alcohol concentration of the customer, In other words, the drunkenness level of the customer after the predicted time is estimated.
Therefore, the drinking state estimating device 1 can distinguish the customers and estimate the degree of drunkenness after the predicted time for each customer. That is, the drinking state estimating device 1 can estimate the drinking state of each customer at a restaurant, even if there are a plurality of customers.
　また、仮に、呼気で客の血中アルコール濃度を計測しようとすると、客に対し、食事中に呼気を吹きかける等の動作を強いることになってしまう。
　これに対し、実施の形態１に係る飲酒状態推定装置１は、客が飲食の際に触れる物体（箸５０１）に設けられているアルコール濃度検知センサ５から取得したアルコール濃度情報に基づいて、客の飲酒状態を推定する。飲酒状態推定装置１は、食事中に呼気を吹きかける等の動作を客に強いることなく客の飲酒状態の推定を行うことができる。客にとっては、食事をしているだけでよいので、飲酒状態推定装置１は、客にストレスをかけることなく、客の飲酒状態の推定を行うことができる。 Furthermore, if an attempt was made to measure a customer's blood alcohol concentration using exhaled breath, the customer would be forced to perform actions such as blowing on exhaled air while eating.
On the other hand, the drinking state estimating device 1 according to Embodiment 1 uses alcohol concentration information obtained from the alcohol concentration detection sensor 5 provided on an object (chopsticks 501) that the customer touches when eating or drinking. Estimate drinking status. The drinking state estimating device 1 can estimate the drinking state of a customer without forcing the customer to perform actions such as blowing exhaled air while eating. Since the customer only needs to have a meal, the drinking state estimating device 1 can estimate the customer's drinking state without stressing the customer.
　また、実施の形態１に係る生体情報通知装置２は、上述の飲酒状態推定装置１を備え、客の存在の有無に関する存否情報に基づき客を特定し、客毎にキャラクターを割り当てる。そして、生体情報通知装置２は、客について、予測時間後の客の酒酔い度に基づき出力内容を決定し、割り当てたキャラクターを、決定した出力内容に応じた形態で表示させるための出力制御情報を生成する。
　詳細には、出力内容決定部２３は、予測時間後の客の酒酔い度が飲酒判定用閾値以上である場合、客に対して近い将来過度のアルコール摂取状態に陥ることを警告する形態でキャラクターを表示させるための出力制御情報を生成し、予測時間後の客の酒酔い度が飲酒判定用閾値未満である場合、キャラクターを酒酔い度に応じた形態で表示させるための出力制御情報を生成する。生体情報通知装置２は、生成した出力制御情報を出力することで、出力装置４１，４２に、決定した出力内容に応じた形態でキャラクターを表示させる。
　生体情報通知装置２は、キャラクターを用いて客の飲酒状態に関する情報を提供することで、客に対して、他人から注意されるよりも冷静に飲酒状態に関するアドバイスを受け入れられるようにできる。 Furthermore, the biological information notification device 2 according to the first embodiment includes the above-mentioned drinking state estimation device 1, identifies customers based on presence/absence information regarding the presence or absence of customers, and assigns a character to each customer. Then, the biological information notification device 2 determines the output content for the customer based on the customer's degree of drunkenness after the predicted time, and outputs control information for displaying the assigned character in a form according to the determined output content. generate.
Specifically, if the customer's degree of drunkenness after the predicted time is equal to or higher than the alcohol determination threshold, the output content determining unit 23 outputs a character in the form of a warning that the customer will be in a state of excessive alcohol intake in the near future. Generates output control information to display the character, and if the customer's degree of drunkenness after the predicted time is less than the threshold for determining drunkenness, generates output control information to display the character in a form corresponding to the degree of drunkenness. do. By outputting the generated output control information, the biological information notification device 2 causes the output devices 41 and 42 to display the character in a form according to the determined output content.
By providing information regarding the customer's drinking status using characters, the biological information notification device 2 can enable the customer to calmly accept advice regarding the customer's drinking status rather than being warned by others.
　過度のアルコール摂取状態は、自分や他人では気づけない場合が多い。これに対し、生体情報通知装置２は、リアルタイムにキャラクターを通して客に対する警告または通知を行うことで、客自身または周囲の人に対して、客の飲酒状態に関する情報を提供できる。また、生体情報通知装置２は、キャラクターを通して客に対する情報の提供を行うので、客は、例えば、キャラクターを通して警告された場合、他人に言われるより冷静にアドバイスを受け入れられる。 Excessive alcohol consumption is often not noticed by oneself or others. On the other hand, the biological information notification device 2 can provide information regarding the customer's drinking status to the customer himself or to people around him by giving a warning or notification to the customer through the character in real time. Furthermore, since the biological information notification device 2 provides information to the customer through the character, if the customer is warned through the character, for example, the customer can accept the advice more calmly than when someone else gives the advice.
　以上の実施の形態１において、生体情報通知装置２は、客の数に対して注文されたアルコールの量が多い場合、または、度数が高いアルコールが注文された場合、客に対して、過度のアルコール摂取への注意喚起を行うと決定し、客に対して過度のアルコール摂取への注意喚起を行う形態でキャラクターを表示させてもよい。客の数に対して注文されたアルコールの量が多い場合、または、度数が高いアルコールが注文された場合、例えば、客がアルコールを一気飲みする可能性がある。
　図１２は、実施の形態１において、客の数に対して注文されたアルコールの量が多い場合、または、度数が高いアルコールが注文された場合、客に対して、過度のアルコール摂取への注意喚起を行う形態でキャラクターを表示させる機能を有する場合の、生体情報通知装置２ａの構成例を示す図である。
　上記機能を有する場合、生体情報通知装置２ａは、図４を用いて説明したような生体情報通知装置２の構成例に加え、注文情報取得部２５および注文解析部２６を備える。
　なお、注文情報取得部２５および注文解析部２６は、飲酒状態推定装置１に備えられてもよい。
　また、生体情報通知装置２ａにおいて、出力内容決定部２３ａの具体的な動作が、図４を用いて説明した生体情報通知装置２の出力内容決定部２３の具体的な動作とは異なる。 In the first embodiment described above, when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered, the biometric information notification device 2 is configured to notify the customer of an excessive amount of alcohol. It may be decided to warn customers against excessive alcohol consumption, and a character may be displayed in a form that warns customers against excessive alcohol consumption. For example, if the amount of alcohol ordered is large relative to the number of customers, or if alcohol with a high alcohol content is ordered, there is a possibility that the customers will drink the alcohol in one gulp.
FIG. 12 shows that in Embodiment 1, when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered, customers are advised to be careful not to consume excessive alcohol. FIG. 2 is a diagram illustrating a configuration example of a biometric information notification device 2a that has a function of displaying a character in an evocative form.
When having the above functions, the biometric information notification device 2a includes an order information acquisition unit 25 and an order analysis unit 26 in addition to the configuration example of the biometric information notification device 2 as described using FIG.
Note that the order information acquisition section 25 and the order analysis section 26 may be included in the drinking state estimation device 1.
Further, in the biological information notification device 2a, the specific operation of the output content determining unit 23a is different from the specific operation of the output content determining unit 23 of the biological information notification device 2 described using FIG.
　注文情報取得部２５は、注文履歴記憶部６３を参照し、客の注文履歴情報を取得する。
　注文情報取得部２５は、例えば、発注部６２から、注文履歴情報を注文履歴記憶部６３に記憶させた旨の情報を取得し、当該情報を取得したタイミングで、注文履歴情報を取得してもよい。なお、図１２において、発注部６２から注文情報取得部２５への矢印は省略している。
　注文情報取得部２５は、取得した注文履歴情報を、注文解析部２６に出力する。 The order information acquisition section 25 refers to the order history storage section 63 and acquires the customer's order history information.
For example, the order information acquisition unit 25 acquires information indicating that order history information has been stored in the order history storage unit 63 from the order placement unit 62, and acquires the order history information at the timing when the information is acquired. good. Note that in FIG. 12, the arrow from the order placement unit 62 to the order information acquisition unit 25 is omitted.
The order information acquisition unit 25 outputs the acquired order history information to the order analysis unit 26.
　注文解析部２６は、注文情報取得部２５が取得した注文履歴情報に基づき、注文内容を解析する。
　具体的には、注文解析部２６は、注文履歴情報に基づき、客によって注文されたアルコールの量、または、注文されたアルコールの度数を解析する。注文解析部２６は、例えば、予め、商品名とアルコールの量とアルコールの度数が対応付けられた情報（以下「酒商品情報」という。）を保持しており、注文履歴情報に含まれている商品名と酒商品情報とをつきあわせることで、客によって注文されたアルコールの量、または、注文されたアルコールの度数を解析すればよい。注文解析部２６は、これまでに注文されたアルコールの総量を解析することもできるし、あるタブレット端末１００から複数回注文が行われた場合は、一度の注文にて注文されたアルコールの量を解析することもできる。
　注文解析部２６は、解析結果を出力内容決定部２３ａに出力する。 The order analysis unit 26 analyzes the order details based on the order history information acquired by the order information acquisition unit 25.
Specifically, the order analysis unit 26 analyzes the amount of alcohol ordered by the customer or the alcohol content ordered by the customer based on order history information. For example, the order analysis unit 26 holds in advance information (hereinafter referred to as "alcohol product information") in which product names, alcohol quantities, and alcohol content are associated with each other, and is included in the order history information. The amount of alcohol ordered by the customer or the alcohol content ordered by the customer can be analyzed by matching the product name with the alcohol product information. The order analysis unit 26 can also analyze the total amount of alcohol ordered so far, and if multiple orders are made from a certain tablet terminal 100, the order analysis unit 26 can analyze the total amount of alcohol ordered in one order. It can also be analyzed.
The order analysis section 26 outputs the analysis result to the output content determination section 23a.
　出力内容決定部２３ａは、注文解析部２６から出力された解析結果に基づき、客の数に対して注文されたアルコールの量が多いと判定した場合、または、注文されたアルコールの度数が高いと判定した場合、客に対して過度のアルコール摂取への注意喚起を行うと決定する。そして、出力内容決定部２３ａは、客に対して過度のアルコール摂取への注意喚起を行う形態でキャラクターを表示させるための出力制御情報を生成する。出力内容決定部２３ａは、これまでに注文されたアルコールの総量が多いか否かを判定してもよいし、一度に注文されたアルコールの量が多いか否かを判定してもよい。なお、ここで出力内容決定部２３ａが判定する「アルコールの度数が高い」とは、アルコールの度数が極端に高いことを想定している。出力内容決定部２３ａは、割当情報から客の数を判定すればよい。出力内容決定部２３ａが、客の数に対するアルコールの量の割合がどれぐらいである場合に客の数に対して注文されたアルコールの量が多いと判定するか、および、どれぐらいの度数のアルコールが注文された場合に注文されたアルコールの度数が高いと判定するかは、予め決められている。
　出力内容決定部２３ａは、生成した出力制御情報を、出力部２４を介して出力装置４１，４２に出力する。 Based on the analysis result output from the order analysis unit 26, the output content determination unit 23a determines that the amount of alcohol ordered is large relative to the number of customers, or that the alcohol content ordered is high. If it is determined, the decision will be made to warn customers against excessive alcohol consumption. Then, the output content determining unit 23a generates output control information for displaying the character in a form that alerts customers to excessive alcohol intake. The output content determining unit 23a may determine whether the total amount of alcohol ordered so far is large or whether the amount of alcohol ordered at one time is large. Note that "the alcohol content is high" as determined by the output content determination unit 23a here assumes that the alcohol content is extremely high. The output content determination unit 23a may determine the number of customers from the allocation information. What is the ratio of the amount of alcohol to the number of customers in which the output content determination unit 23a determines that the amount of alcohol ordered is large compared to the number of customers, and how much alcohol? It is determined in advance whether the alcohol content of the ordered alcohol is determined to be high when the alcohol content is ordered.
The output content determining unit 23a outputs the generated output control information to the output devices 41 and 42 via the output unit 24.
　ここで、図１３は、出力内容決定部２３ａが出力した、客に対して注意喚起するための出力制御情報に基づいて出力装置４１が表示させた表示画面の一例を示す図である。なお、図１３は、出力装置４１の表示画面としているが、これは一例に過ぎず、出力内容決定部２３ａは、出力制御情報を、出力部２４を介して出力装置４２に出力することで、出力装置４２に、図１３で示すような表示画面を表示させることもできる。 Here, FIG. 13 is a diagram showing an example of a display screen displayed by the output device 41 based on the output control information for alerting the customer, which is output by the output content determining unit 23a. Note that although FIG. 13 shows a display screen of the output device 41, this is only an example, and the output content determining unit 23a outputs the output control information to the output device 42 via the output unit 24. It is also possible to display a display screen as shown in FIG. 13 on the output device 42.
　図１３に示すように、表示画面において、各キャラクターが、「飲みすぎに注意してね」と、過度のアルコール摂取への注意喚起を行う形態で表示されている。 As shown in FIG. 13, on the display screen, each character is displayed in a form that warns against excessive alcohol intake, saying, "Be careful not to drink too much."
　図１４は、実施の形態１において、生体情報通知装置を、図１２に示すような構成例を有する生体情報通知装置２ａとした場合の、生体情報通知装置２ａの動作を説明するためのフローチャートである。
　図１４のステップＳＴ１ａ～ステップＳＴ２ａ、ステップＳＴ６ａ～ステップＳＴ８ａの具体的な動作は、それぞれ、図９を用いて説明済みの、図９のステップＳＴ１～ステップＳＴ５の具体的な動作と同様であるため、重複した説明を省略する。 FIG. 14 is a flowchart for explaining the operation of the biometric information notification device 2a in the first embodiment when the biometric information notification device is the biometric information notification device 2a having the configuration example shown in FIG. be.
The specific operations of steps ST1a to ST2a and steps ST6a to ST8a in FIG. 14 are the same as the specific operations of steps ST1 to ST5 in FIG. 9, which have already been explained using FIG. , duplicate explanations will be omitted.
　注文情報取得部２５は、注文履歴記憶部６３を参照して注文履歴情報を取得すると、取得した注文履歴情報を、注文解析部２６に出力する。
　注文解析部２６は、注文情報取得部２５が取得した注文履歴情報に基づき、注文内容を解析する（ステップＳＴ３ａ）。
　注文解析部２６は、解析結果を出力内容決定部２３ａに出力する。 The order information acquisition unit 25 refers to the order history storage unit 63 and acquires the order history information, and then outputs the acquired order history information to the order analysis unit 26.
The order analysis unit 26 analyzes the order details based on the order history information acquired by the order information acquisition unit 25 (step ST3a).
The order analysis section 26 outputs the analysis result to the output content determination section 23a.
　出力内容決定部２３ａは、ステップＳＴ３ａにて注文解析部２６から出力された解析結果に基づき、客の数に対して注文されたアルコールの量が多いか、または、注文されたアルコールの度数が高いかを判定する（ステップＳＴ４ａ）。
　注文解析部２６から出力された解析結果に基づき、客の数に対して注文されたアルコールの量が多いと判定した場合、または、注文されたアルコールの度数が高いと判定した場合（ステップＳＴ４ａの“ＹＥＳ”の場合）、出力内容決定部２３ａは、客に対して過度のアルコール摂取への注意喚起を行うと決定する。そして、出力内容決定部２３ａは、客に対して過度のアルコール摂取への注意喚起を行う形態でキャラクターを表示させるための出力制御情報を生成する（ステップＳＴ５ａ）。出力内容決定部２３ａは、生成した出力制御情報を、出力部２４を介して出力装置４１，４２に出力する。 Based on the analysis result output from the order analysis unit 26 in step ST3a, the output content determination unit 23a determines whether the amount of alcohol ordered is large relative to the number of customers, or the alcohol content ordered is high. (step ST4a).
Based on the analysis results output from the order analysis unit 26, if it is determined that the amount of alcohol ordered is large relative to the number of customers, or if it is determined that the alcohol content of the ordered alcohol is high (step ST4a). In the case of “YES”), the output content determining unit 23a determines to warn the customer against excessive alcohol intake. Then, the output content determining unit 23a generates output control information for displaying the character in a form that alerts the customer to excessive alcohol intake (step ST5a). The output content determining unit 23a outputs the generated output control information to the output devices 41 and 42 via the output unit 24.
　出力内容決定部２３ａが、注文解析部２６から出力された解析結果に基づき、客の数に対して注文されたアルコールの量が多くない、かつ、注文されたアルコールの度数が高くないと判定した場合（ステップＳＴ４ａの“ＮＯ”の場合）、生体情報通知装置２ａの動作は、ステップＳＴ６ａの処理に進む。 Based on the analysis results output from the order analysis unit 26, the output content determining unit 23a determines that the amount of alcohol ordered is not large relative to the number of customers, and the alcohol content of the ordered alcohol is not high. In this case (“NO” in step ST4a), the operation of the biological information notification device 2a proceeds to the process in step ST6a.
　なお、ここでは、生体情報通知装置２ａの動作について、図１４のステップＳＴ８ａの処理の後、ステップＳＴ３ａに戻り、以降の処理を繰り返すものとするが、これは一例に過ぎない。生体情報通知装置２ａの動作は、例えば、図１４のステップＳＴ８ａの処理の後、ステップＳＴ１ａに戻るようにしてもよい。 Here, regarding the operation of the biological information notification device 2a, after the process of step ST8a in FIG. 14, the process returns to step ST3a and the subsequent processes are repeated, but this is only an example. The operation of the biological information notification device 2a may be such that, for example, after the process of step ST8a in FIG. 14, the operation returns to step ST1a.
　このように、実施の形態１において、生体情報通知装置２ａは、客の数に対して注文されたアルコールの量が多い場合、または、度数が高いアルコールが注文された場合、客に対して、過度のアルコール摂取への注意喚起を行う形態でキャラクターを表示させてもよい。これにより、生体情報通知装置２ａは、客の過度のアルコール摂取を未然に防ぐための支援を行うことができる。 In this way, in the first embodiment, the biological information notification device 2a tells the customer when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered. The character may be displayed in a form that calls attention to excessive alcohol intake. Thereby, the biological information notification device 2a can provide support to prevent the customer from consuming excessive alcohol.
　図１５Ａおよび図１５Ｂは、実施の形態１に係る飲酒状態推定装置１のハードウェア構成の一例を示す図である。
　実施の形態１において、アルコール濃度情報取得部１１と、推定部１２の機能は、処理回路１００１により実現される。すなわち、飲酒状態推定装置１は、アルコール濃度検知センサ５から取得したアルコール濃度情報に基づき、客の飲酒状態を推定する制御を行うための処理回路１００１を備える。
　処理回路１００１は、図１５Ａに示すように専用のハードウェアであっても、図１５Ｂに示すようにメモリに格納されるプログラムを実行するプロセッサ１００４であってもよい。 15A and 15B are diagrams showing an example of the hardware configuration of the drinking state estimation device 1 according to the first embodiment.
In the first embodiment, the functions of the alcohol concentration information acquisition section 11 and the estimation section 12 are realized by the processing circuit 1001. That is, the drinking state estimating device 1 includes a processing circuit 1001 for performing control to estimate the drinking state of the customer based on alcohol concentration information acquired from the alcohol concentration detection sensor 5.
The processing circuit 1001 may be dedicated hardware as shown in FIG. 15A, or may be a processor 1004 that executes a program stored in memory as shown in FIG. 15B.
　処理回路１００１が専用のハードウェアである場合、処理回路１００１は、例えば、単一回路、複合回路、プログラム化したプロセッサ、並列プログラム化したプロセッサ、ＡＳＩＣ（Ａｐｐｌｉｃａｔｉｏｎ　Ｓｐｅｃｉｆｉｃ　Ｉｎｔｅｇｒａｔｅｄ　Ｃｉｒｃｕｉｔ）、ＦＰＧＡ（Ｆｉｅｌｄ－Ｐｒｏｇｒａｍｍａｂｌｅ　Ｇａｔｅ　Ａｒｒａｙ）、またはこれらを組み合わせたものが該当する。 When the processing circuit 1001 is dedicated hardware, the processing circuit 1001 is, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), or an FPGA (Field-Programmable Circuit). Gate Array), or a combination of these.
　処理回路がプロセッサ１００４の場合、アルコール濃度情報取得部１１と、推定部１２の機能は、ソフトウェア、ファームウェア、または、ソフトウェアとファームウェアとの組み合わせにより実現される。ソフトウェアまたはファームウェアは、プログラムとして記述され、メモリ１００５に記憶される。プロセッサ１００４は、メモリ１００５に記憶されたプログラムを読み出して実行することにより、アルコール濃度情報取得部１１と、推定部１２の機能を実行する。すなわち、飲酒状態推定装置１は、プロセッサ１００４により実行されるときに、上述の図９のステップＳＴ３～ステップＳＴ４、図１４のステップＳＴ６ａ～ステップＳＴ７ａが結果的に実行されることになるプログラムを格納するためのメモリ１００５を備える。また、メモリ１００５に記憶されたプログラムは、アルコール濃度情報取得部１１と、推定部１２の処理の手順または方法をコンピュータに実行させるものであるともいえる。ここで、メモリ１００５とは、例えば、ＲＡＭ、ＲＯＭ（Ｒｅａｄ　Ｏｎｌｙ　Ｍｅｍｏｒｙ）、フラッシュメモリ、ＥＰＲＯＭ（Ｅｒａｓａｂｌｅ　Ｐｒｏｇｒａｍｍａｂｌｅ　Ｒｅａｄ　Ｏｎｌｙ　Ｍｅｍｏｒｙ）、ＥＥＰＲＯＭ（Ｅｌｅｃｔｒｉｃａｌｌｙ　Ｅｒａｓａｂｌｅ　Ｐｒｏｇｒａｍｍａｂｌｅ　Ｒｅａｄ－Ｏｎｌｙ　Ｍｅｍｏｒｙ）等の、不揮発性もしくは揮発性の半導体メモリ、磁気ディスク、フレキシブルディスク、光ディスク、コンパクトディスク、ミニディスク、ＤＶＤ（Ｄｉｇｉｔａｌ　Ｖｅｒｓａｔｉｌｅ　Ｄｉｓｃ）等が該当する。 When the processing circuit is the processor 1004, the functions of the alcohol concentration information acquisition section 11 and the estimation section 12 are realized by software, firmware, or a combination of software and firmware. Software or firmware is written as a program and stored in memory 1005. The processor 1004 executes the functions of the alcohol concentration information acquisition section 11 and the estimation section 12 by reading and executing a program stored in the memory 1005. That is, the drinking state estimating device 1 stores a program that, when executed by the processor 1004, results in steps ST3 to ST4 in FIG. 9 and steps ST6a to ST7a in FIG. A memory 1005 is provided for storing the data. Further, it can be said that the program stored in the memory 1005 causes the computer to execute the processing procedure or method of the alcohol concentration information acquisition section 11 and the estimation section 12. Here, the memory 1005 includes, for example, RAM, ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable Read Only Memory), and EEPROM (Electrically). Erasable Programmable Read-Only Memory), etc., non-volatile or volatile This includes semiconductor memory, magnetic disks, flexible disks, optical disks, compact disks, mini disks, DVDs (Digital Versatile Discs), and the like.
　なお、アルコール濃度情報取得部１１と、推定部１２の機能について、一部を専用のハードウェアで実現し、一部をソフトウェアまたはファームウェアで実現するようにしてもよい。例えば、アルコール濃度情報取得部１１については専用のハードウェアとしての処理回路１００１でその機能を実現し、推定部１２についてはプロセッサ１００４がメモリ１００５に格納されたプログラムを読み出して実行することによってその機能を実現することが可能である。
　また、飲酒状態推定装置１は、アルコール濃度検知センサ５、出力装置４２等の装置と、有線通信または無線通信を行う入力インタフェース装置１００２および出力インタフェース装置１００３を備える。
　また、濃度情報記憶部１３は、ＨＤＤ（Ｈａｒｄ　Ｄｉｓｋ　Ｄｒｉｖｅ）、メモリ１００５、ＤＶＤ等で構成される。 Note that some of the functions of the alcohol concentration information acquisition section 11 and the estimation section 12 may be realized by dedicated hardware, and some may be realized by software or firmware. For example, the function of the alcohol concentration information acquisition unit 11 is realized by a processing circuit 1001 as dedicated hardware, and the function of the estimation unit 12 is realized by a processor 1004 reading and executing a program stored in a memory 1005. It is possible to realize this.
The drinking state estimating device 1 also includes devices such as an alcohol concentration detection sensor 5 and an output device 42, as well as an input interface device 1002 and an output interface device 1003 that perform wired or wireless communication.
Further, the concentration information storage unit 13 is composed of an HDD (Hard Disk Drive), a memory 1005, a DVD, and the like.
　実施の形態１に係る生体情報通知装置２，２ａのハードウェア構成の一例も、図１５Ａおよび図１５Ｂに示すとおりである。
　実施の形態１において、存否情報取得部２１と、割当部２２と、出力内容決定部２３,２３ａと、出力部２４と、注文情報取得部２５と、注文解析部２６の機能は、処理回路１００１により実現される。すなわち、生体情報通知装置２，２ａは、飲酒状態推定装置１が推定した客の飲酒状態に基づく形態でキャラクターの表示制御を行うための処理回路１００１を備える。
　処理回路１００１は、図１５Ａに示すように専用のハードウェアであっても、図１５Ｂに示すようにメモリに格納されるプログラムを実行するプロセッサ１００４であってもよい。 An example of the hardware configuration of the biological information notification devices 2 and 2a according to the first embodiment is also as shown in FIGS. 15A and 15B.
In the first embodiment, the functions of the existence information acquisition section 21, the allocation section 22, the output content determination sections 23, 23a, the output section 24, the order information acquisition section 25, and the order analysis section 26 are performed by the processing circuit 1001. This is realized by That is, the biological information notification devices 2 and 2a include a processing circuit 1001 for controlling the display of characters based on the customer's drinking state estimated by the drinking state estimating device 1.
The processing circuit 1001 may be dedicated hardware as shown in FIG. 15A, or may be a processor 1004 that executes a program stored in memory as shown in FIG. 15B.
　処理回路１００１が専用のハードウェアである場合、処理回路１００１は、例えば、単一回路、複合回路、プログラム化したプロセッサ、並列プログラム化したプロセッサ、ＡＳＩＣ（Ａｐｐｌｉｃａｔｉｏｎ　Ｓｐｅｃｉｆｉｃ　Ｉｎｔｅｇｒａｔｅｄ　Ｃｉｒｃｕｉｔ）、ＦＰＧＡ（Ｆｉｅｌｄ－Ｐｒｏｇｒａｍｍａｂｌｅ　Ｇａｔｅ　Ａｒｒａｙ）、またはこれらを組み合わせたものが該当する。 When the processing circuit 1001 is dedicated hardware, the processing circuit 1001 is, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), or an FPGA (Field-Programmable Circuit). Gate Array), or a combination of these.
　処理回路がプロセッサ１００４の場合、存否情報取得部２１と、割当部２２と、出力内容決定部２３，２３ａと、出力部２４と、注文情報取得部２５と、注文解析部２６の機能は、ソフトウェア、ファームウェア、または、ソフトウェアとファームウェアとの組み合わせにより実現される。ソフトウェアまたはファームウェアは、プログラムとして記述され、メモリ１００５に記憶される。プロセッサ１００４は、メモリ１００５に記憶されたプログラムを読み出して実行することにより、存否情報取得部２１と、割当部２２と、出力内容決定部２３，２３ａと、出力部２４と、注文情報取得部２５と、注文解析部２６の機能を実行する。すなわち、生体情報通知装置２，２ａは、プロセッサ１００４により実行されるときに、上述の図９のステップＳＴ１～ステップＳＴ２、ステップＳＴ５、図１４のステップＳＴ１ａ～ステップＳＴ５ａ、ステップＳＴ８ａが結果的に実行されることになるプログラムを格納するためのメモリ１００５を備える。また、メモリ１００５に記憶されたプログラムは、存否情報取得部２１と、割当部２２と、出力内容決定部２３，２３ａと、出力部２４と、注文情報取得部２５と、注文解析部２６の処理の手順または方法をコンピュータに実行させるものであるともいえる。ここで、メモリ１００５とは、例えば、ＲＡＭ、ＲＯＭ（Ｒｅａｄ　Ｏｎｌｙ　Ｍｅｍｏｒｙ）、フラッシュメモリ、ＥＰＲＯＭ（Ｅｒａｓａｂｌｅ　Ｐｒｏｇｒａｍｍａｂｌｅ　Ｒｅａｄ　Ｏｎｌｙ　Ｍｅｍｏｒｙ）、ＥＥＰＲＯＭ（Ｅｌｅｃｔｒｉｃａｌｌｙ　Ｅｒａｓａｂｌｅ　Ｐｒｏｇｒａｍｍａｂｌｅ　Ｒｅａｄ－Ｏｎｌｙ　Ｍｅｍｏｒｙ）等の、不揮発性もしくは揮発性の半導体メモリ、磁気ディスク、フレキシブルディスク、光ディスク、コンパクトディスク、ミニディスク、ＤＶＤ（Ｄｉｇｉｔａｌ　Ｖｅｒｓａｔｉｌｅ　Ｄｉｓｃ）等が該当する。 When the processing circuit is the processor 1004, the functions of the existence information acquisition unit 21, the allocation unit 22, the output content determination units 23, 23a, the output unit 24, the order information acquisition unit 25, and the order analysis unit 26 are implemented by software. , firmware, or a combination of software and firmware. Software or firmware is written as a program and stored in memory 1005. The processor 1004 reads out and executes the program stored in the memory 1005, thereby providing the presence/absence information acquisition section 21, the allocation section 22, the output content determination sections 23 and 23a, the output section 24, and the order information acquisition section 25. Then, the function of the order analysis section 26 is executed. That is, when the biological information notification devices 2 and 2a are executed by the processor 1004, steps ST1 to ST2 and ST5 in FIG. 9 described above and steps ST1a to ST5a and ST8a in FIG. 14 are executed as a result. A memory 1005 is provided for storing programs to be executed. Further, the programs stored in the memory 1005 include the processing of the presence/absence information acquisition unit 21, the allocation unit 22, the output content determination units 23, 23a, the output unit 24, the order information acquisition unit 25, and the order analysis unit 26. It can also be said that it causes a computer to execute a procedure or method. Here, the memory 1005 includes, for example, RAM, ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable Read Only Memory), and EEPROM (Electrically). Erasable Programmable Read-Only Memory), etc., non-volatile or volatile This includes semiconductor memory, magnetic disks, flexible disks, optical disks, compact disks, mini disks, DVDs (Digital Versatile Discs), and the like.
　なお、存否情報取得部２１と、割当部２２と、出力内容決定部２３,２３ａと、出力部２４と、注文情報取得部２５と、注文解析部２６の機能について、一部を専用のハードウェアで実現し、一部をソフトウェアまたはファームウェアで実現するようにしてもよい。例えば、存否情報取得部２１と注文情報取得部２５については専用のハードウェアとしての処理回路１００１でその機能を実現し、割当部２２と、出力内容決定部２３,２３ａと、出力部２４と、注文解析部２６についてはプロセッサ１００４がメモリ１００５に格納されたプログラムを読み出して実行することによってその機能を実現することが可能である。
　また、生体情報通知装置２，２ａは、アルコール濃度検知センサ５、出力装置４２等の装置と、有線通信または無線通信を行う入力インタフェース装置１００２および出力インタフェース装置１００３を備える。 Note that some of the functions of the presence/absence information acquisition section 21, the allocation section 22, the output content determination sections 23, 23a, the output section 24, the order information acquisition section 25, and the order analysis section 26 are implemented using dedicated hardware. It may also be realized partially by software or firmware. For example, the functions of the presence/absence information acquisition section 21 and the order information acquisition section 25 are realized by the processing circuit 1001 as dedicated hardware, and the allocation section 22, the output content determination section 23, 23a, the output section 24, The functions of the order analysis section 26 can be realized by the processor 1004 reading and executing a program stored in the memory 1005.
Furthermore, the biological information notification devices 2 and 2a include devices such as an alcohol concentration detection sensor 5 and an output device 42, and an input interface device 1002 and an output interface device 1003 that perform wired or wireless communication.
　以上の実施の形態１では、飲酒状態推定装置１および生体情報通知装置２，２ａは、タブレット端末１００に搭載されているものとしたが、これは一例に過ぎない。飲酒状態推定装置１および生体情報通知装置２，２ａは、例えば、サーバ（図示省略）に搭載されてもよい。アルコール濃度情報取得部１１、推定部１２、存否情報取得部２１、割当部２２、出力内容決定部２３，２３ａ、出力部２４、注文情報取得部２５、注文解析部２６のうちの一部または全部が、サーバに搭載されていてもよい。
　また、以上の実施の形態１では、飲酒状態推定装置１は、生体情報通知装置２，２ａに備えられていたが、これは一例に過ぎない。飲酒状態推定装置１は、生体情報通知装置２，２ａの外部に備えられ、生体情報通知装置２，２ａとネットワークを介して接続されてもよい。 In the first embodiment described above, the drinking state estimation device 1 and the biological information notification devices 2 and 2a are installed in the tablet terminal 100, but this is only an example. The drinking state estimation device 1 and the biological information notification devices 2 and 2a may be installed in, for example, a server (not shown). Some or all of the alcohol concentration information acquisition unit 11, the estimation unit 12, the existence information acquisition unit 21, the allocation unit 22, the output content determination units 23, 23a, the output unit 24, the order information acquisition unit 25, and the order analysis unit 26 may be installed in the server.
Further, in the first embodiment described above, the drinking state estimation device 1 is provided in the biological information notification devices 2 and 2a, but this is only an example. The drinking state estimation device 1 may be provided outside the biometric information notification devices 2, 2a, and may be connected to the biometric information notification devices 2, 2a via a network.
　以上のように、実施の形態１によれば、飲酒状態推定装置１は、人（客）と接触する物体に設けられ人（客）に光を照射し反射させて受光した反射光に基づいて人（客）の血中アルコール濃度を計測するアルコール濃度検知センサ５から、人（客）の血中アルコール濃度を示すアルコール濃度情報を取得するアルコール濃度情報取得部１１と、アルコール濃度情報取得部１１が取得したアルコール濃度情報に基づいて、予測時間後の人（客）の酒酔い度を人（客）の飲酒状態として推定する推定部１２を備えるように構成した。そのため、飲酒状態推定装置１は、アルコールが提供される飲食店における人について、当該人が複数であっても、それぞれ、飲酒状態を推定できる。 As described above, according to the first embodiment, the drinking state estimating device 1 is installed on an object that comes into contact with a person (customer), and based on the reflected light received by irradiating and reflecting light on the person (customer). An alcohol concentration information acquisition unit 11 that acquires alcohol concentration information indicating the blood alcohol concentration of a person (customer) from an alcohol concentration detection sensor 5 that measures the blood alcohol concentration of the person (customer); The present invention is configured to include an estimating unit 12 that estimates the degree of drunkenness of the person (customer) after the predicted time as the drinking state of the person (customer) based on the alcohol concentration information acquired by the user. Therefore, the drinking state estimating device 1 can estimate the drinking state of each person at a restaurant where alcohol is served, even if there are multiple people.
　詳細には、飲酒状態推定装置１において、推定部１２は、人（客）と接触する物体に設けられ人（客）に光を照射し反射させて受光した反射光に基づいて人（客）の血中アルコール濃度を計測するアルコール濃度検知センサ５からアルコール濃度情報取得部１１が取得した、第１期間分の時系列のアルコール濃度情報に基づき、第１期間における血中アルコール濃度の上昇具合いから、予測時間後の人の酒酔い度を推定する。そのため、飲酒状態推定装置１は、アルコールが提供される飲食店における人について、当該人が複数であっても、それぞれ、飲酒状態を推定できる。 Specifically, in the drinking state estimating device 1, the estimating unit 12 is provided on an object that comes into contact with a person (customer), and based on the reflected light received by irradiating light on the person (customer), Based on the time-series alcohol concentration information for the first period acquired by the alcohol concentration information acquisition unit 11 from the alcohol concentration detection sensor 5 that measures the blood alcohol concentration of , to estimate a person's level of drunkenness after a predicted time. Therefore, the drinking state estimating device 1 can estimate the drinking state of each person at a restaurant where alcohol is served, even if there are multiple people.
　また、生体情報通知装置２，２ａは、上述したような飲酒状態推定装置１と、人（客）の存在の有無に関する存否情報を取得する存否情報取得部２１と、存否情報取得部２１が取得した存否情報に基づき人（客）を特定し、人（客）毎にキャラクターを割り当てる割当部２２と、人（客）について、推定部１２が推定した予測時間後の人の酒酔い度に基づき出力内容を決定し、割当部２２が割り当てたキャラクターを、決定した出力内容に応じた形態で表示させるための出力制御情報を生成する出力内容決定部２３，２３ａと、出力内容決定部２３，２３ａが生成した出力制御情報を出力する出力部２４とを備えた。そのため、生体情報通知装置２，２ａは、キャラクターを用いて人の飲酒状態に関する情報を提供することで、人に対して、他人から注意されるよりも冷静に飲酒状態に関するアドバイスを受け入れられるようにできる。 In addition, the biological information notification devices 2 and 2a include the above-mentioned drinking state estimation device 1, a presence information acquisition unit 21 that acquires presence/absence information regarding the presence or absence of a person (customer), and a presence/absence information acquisition unit 21 that acquires an assigning unit 22 that identifies a person (customer) based on presence/absence information and assigns a character to each person (customer); Output content determining units 23, 23a that determine output content and generate output control information for displaying the character assigned by the allocation unit 22 in a form corresponding to the determined output content; and output content determining units 23, 23a. The output unit 24 outputs the output control information generated by the controller. Therefore, the biological information notification devices 2 and 2a use characters to provide information about a person's drinking status, so that the person can calmly accept advice regarding the drinking status rather than being warned by others. can.
　詳細には、生体情報通知装置２，２ａにおいて、出力内容決定部２３，２３ａは、推定部１２が推定した予測時間後の人（客）の酒酔い度が飲酒判定用閾値以上である場合、人（客）に対して近い将来過度のアルコール摂取状態に陥ることを警告する形態でキャラクターを表示させるための出力制御情報を生成し、推定部１２が推定した予測時間後の人（客）の酒酔い度が飲酒判定用閾値未満である場合、キャラクターを酒酔い度に応じた形態で表示させるための出力制御情報を生成する。生体情報通知装置２，２ａは、キャラクターを用いて客の飲酒状態に関する情報を提供することで、客に対して、他人から注意されるよりも冷静に飲酒状態に関するアドバイスを受け入れられるようにできる。 Specifically, in the biological information notification devices 2 and 2a, the output content determination units 23 and 23a determine that when the degree of drunkenness of the person (customer) after the predicted time estimated by the estimation unit 12 is equal to or higher than the threshold for determining alcohol consumption, Output control information for displaying a character in a form that warns a person (customer) of falling into a state of excessive alcohol intake in the near future is generated, and When the degree of drunkenness is less than the threshold for determining drunkenness, output control information for displaying the character in a form corresponding to the degree of drunkenness is generated. The biological information notification devices 2 and 2a provide information regarding the customer's drinking status using characters, thereby allowing the customer to calmly accept advice regarding the customer's drinking status rather than being warned by others.
　また、実施の形態１に係る飲酒状態推定システム１０００は、人（客）と接触する物体に設けられ人（客）に光を照射し反射させて受光した反射光に基づいて人（客）の血中アルコール濃度を計測するアルコール濃度検知センサ５と、アルコール濃度検知センサ５から、人（客）の中アルコール濃度を示すアルコール濃度情報を取得するアルコール濃度情報取得部１１と、アルコール濃度情報取得部１１が取得したアルコール濃度情報に基づいて、予測時間後の人（客）の酒酔い度を人の飲酒状態として推定する推定部１２とを備えるように構成した。そのため、飲酒状態推定システム１０００は、アルコールが提供される飲食店における人について、当該人が複数であっても、それぞれ、飲酒状態を推定できる。 In addition, the drinking state estimation system 1000 according to the first embodiment is installed on an object that comes into contact with a person (customer), and based on the reflected light received by irradiating and reflecting light on the person (customer), the drinking state estimation system 1000 An alcohol concentration detection sensor 5 that measures blood alcohol concentration, an alcohol concentration information acquisition unit 11 that acquires alcohol concentration information indicating the alcohol concentration of a person (customer) from the alcohol concentration detection sensor 5, and an alcohol concentration information acquisition unit Based on the alcohol concentration information acquired by 11, the estimation unit 12 estimates the degree of drunkenness of the person (customer) after the predicted time as the person's drinking state. Therefore, the drinking state estimation system 1000 can estimate the drinking state of each person at a restaurant where alcohol is served, even if there are multiple people.
実施の形態２．
　実施の形態１では、飲酒状態推定装置は、第１期間分の時系列のアルコール濃度情報に基づいて、客の飲酒状態を推定していた。
　実施の形態２では、飲酒状態推定装置が、第１期間分の時系列のアルコール濃度情報と、客の注文履歴とに基づいて、客の飲酒状態を推定する実施の形態について説明する。 Embodiment 2.
In the first embodiment, the drinking state estimating device estimates the drinking state of the customer based on the time-series alcohol concentration information for the first period.
In Embodiment 2, an embodiment will be described in which a drinking state estimating device estimates a customer's drinking state based on time-series alcohol concentration information for a first period and the customer's order history.
　図１６は、実施の形態２に係る飲酒状態推定システム１０００ａの構成例を示す図である。
　図１６に示す飲酒状態推定システム１０００ａの構成例は、図１を用いて説明した実施の形態１に係る飲酒状態推定システム１０００の構成例とは、飲酒状態推定装置１ａの具体的な構成が異なる。 FIG. 16 is a diagram showing a configuration example of a drinking state estimation system 1000a according to the second embodiment.
The configuration example of the drinking state estimation system 1000a shown in FIG. 16 is different from the configuration example of the drinking state estimation system 1000 according to the first embodiment described using FIG. 1 in the specific configuration of the drinking state estimation device 1a. .
　図１７は、実施の形態２に係る飲酒状態推定装置１ａを備えた生体情報通知装置２ｂの構成例を示す図である。
　生体情報通知装置２ｂは、例えば、タブレット端末１００ａに搭載されている。実施の形態２におけるタブレット端末１００ａは、実施の形態１におけるタブレット端末１００とは、搭載している生体情報通知装置が生体情報通知装置２ｂとなった点が異なり、その他は実施の形態１におけるタブレット端末１００と同様の構成例を有する。
　図１７に示す生体情報通知装置２ｂの構成例について、実施の形態１にて図４を用いて説明した生体情報通知装置２の構成例と同様の構成については、同じ符号を付して重複した説明を省略する。
　図１７に示す生体情報通知装置２ｂの構成例は、実施の形態１にて図４を用いて説明した生体情報通知装置２の構成例とは、飲酒状態推定装置１ａの構成例が異なる。
　図１７に示す飲酒状態推定装置１ａの構成例は、実施の形態１にて図４を用いて説明した飲酒状態推定装置１の構成例とは、注文情報取得部１４および注文解析部１５を備える点が異なる。また、飲酒状態推定装置１ａにおいて、推定部１２ａの具体的な動作が、実施の形態１に係る飲酒状態推定装置１の推定部１２の具体的な動作とは異なる。 FIG. 17 is a diagram showing a configuration example of a biological information notification device 2b including a drinking state estimation device 1a according to the second embodiment.
The biological information notification device 2b is installed in, for example, a tablet terminal 100a. The tablet terminal 100a in the second embodiment differs from the tablet terminal 100 in the first embodiment in that the installed biometric information notification device is a biometric information notification device 2b, and the rest is the same as the tablet in the first embodiment. It has a similar configuration example to the terminal 100.
Regarding the configuration example of the biometric information notification device 2b shown in FIG. 17, the same components as the configuration example of the biometric information notification device 2 described in Embodiment 1 using FIG. The explanation will be omitted.
The configuration example of the biological information notification device 2b shown in FIG. 17 differs from the configuration example of the biological information notification device 2 described using FIG. 4 in the first embodiment in the configuration example of the drinking state estimation device 1a.
The configuration example of the drinking state estimation device 1a shown in FIG. 17 is different from the configuration example of the drinking state estimation device 1 explained using FIG. The points are different. Further, in the drinking state estimating device 1a, the specific operation of the estimating section 12a is different from the specific operation of the estimating section 12 of the drinking state estimating device 1 according to the first embodiment.
　注文情報取得部１４の機能は、実施の形態１にて説明済みの注文情報取得部２５の機能と同様であるため、重複した説明を省略する。
　注文解析部１５の機能は、実施の形態１にて説明済みの注文解析部２６の機能と同様であるため、重複した説明を省略する。ただし、実施の形態２において、注文解析部１５は、解析結果を推定部１２ａに出力する。 The function of the order information acquisition section 14 is similar to the function of the order information acquisition section 25 already explained in the first embodiment, so a duplicate explanation will be omitted.
The functions of the order analysis section 15 are similar to those of the order analysis section 26 already explained in Embodiment 1, so a duplicate explanation will be omitted. However, in the second embodiment, the order analysis section 15 outputs the analysis result to the estimation section 12a.
　推定部１２ａは、アルコール濃度情報取得部１１が取得した、第１期間分の時系列のアルコール濃度情報と、注文解析部１５が解析した注文内容の解析結果とに基づき、客の飲酒状態、言い換えれば、予測時間後の客の酒酔い度を推定する。
　なお、推定部１２ａは、客毎に、当該客の飲酒状態を推定する。 The estimation unit 12a determines the customer's drinking state based on the time-series alcohol concentration information for the first period acquired by the alcohol concentration information acquisition unit 11 and the analysis result of the order content analyzed by the order analysis unit 15. For example, the degree of drunkenness of the customer after the predicted time is estimated.
Note that the estimation unit 12a estimates the drinking state of each customer.
　実施の形態２において、飲酒状態推定装置１ａの推定部１２ａが第１期間分の時系列のアルコール濃度情報と注文内容の解析結果とに基づき客の飲酒状態を推定する具体的な方法について、いくつか例を挙げて説明する。 In Embodiment 2, some specific methods are described in which the estimation unit 12a of the drinking state estimating device 1a estimates the drinking state of the customer based on the time-series alcohol concentration information for the first period and the analysis result of the order contents. Explain with an example.
＜具体例１＞
　例えば、推定部１２ａは、第１期間分の時系列のアルコール濃度情報に基づき予測した予測時間後の客の血中アルコール濃度の予測値について、第１期間におけるアルコールの注文頻度が増加傾向にある、または、１回の注文にて注文されたアルコールの量が増加した場合には、値を大きくした上で、予測時間後の客の酒酔い度を推定する。この場合、注文解析部１５から出力される解析結果には、第１期間におけるアルコールの注文頻度、または、第１期間において行われた注文毎の、アルコールの量の情報が含まれていればよい。 <Specific example 1>
For example, the estimating unit 12a determines that the frequency of orders for alcohol in the first period is on the increase, based on the predicted value of the customer's blood alcohol concentration after the prediction time predicted based on the time-series alcohol concentration information for the first period. Alternatively, if the amount of alcohol ordered in one order increases, the value is increased and the drunkenness level of the customer after the predicted time is estimated. In this case, the analysis result output from the order analysis unit 15 only needs to include information about the frequency of alcohol orders in the first period or the amount of alcohol for each order made in the first period. .
　具体的には、推定部１２ａは、まず、第１期間分の時系列のアルコール濃度情報に基づき、予測時間後の客の血中アルコール濃度の予測値を予測する。なお、推定部１２ａは、実施の形態１にて説明済みの、推定部１２による予測時間後の客の血中アルコール濃度の予測方法と同様の方法で、予測時間後の客の血中アルコール濃度の予測値を予測すればよい。
　次に、推定部１２ａは、第１期間におけるアルコールの注文頻度が増加傾向にある、または、１回の注文にて注文されたアルコールの量が増加した場合、予測した血中アルコール濃度の予測値を大きくする。なお、アルコールの注文頻度がどれぐらい増加傾向にある場合にどれぐらい予測値を大きくするか、および、１回の注文にて注文されたあるコールの量がどれぐらい増加した場合にどれぐらい予測値を大きくするかの条件は、管理者等によって予め決められ、推定部１２ａが保持している。
　そして、推定部１２ａは、大きくした後の血中アルコール濃度の予測値（以下「かさ上げ後予測値」という。）に基づき、予測時間後の客の酒酔い度を推定する。なお、推定部１２ａは、実施の形態１にて説明済みの、推定部１２によるアルコール濃度の予測値に基づく酒酔い度の推定方法と同様の方法で、血中アルコール濃度のかさ上げ後予測値に基づく酒酔い度を推定すればよい。
　推定部１２ａは、推定した予測時間後の客の酒酔い度に関する酒酔い情報を、出力内容決定部２３に出力する。 Specifically, the estimation unit 12a first predicts the predicted value of the customer's blood alcohol concentration after the predicted time based on the time-series alcohol concentration information for the first period. Note that the estimation unit 12a calculates the blood alcohol concentration of the customer after the prediction time using a method similar to the method of predicting the blood alcohol concentration of the customer after the prediction time by the estimation unit 12, which has already been explained in the first embodiment. It is sufficient to predict the predicted value of .
Next, if the frequency of alcohol orders in the first period is on an increasing trend or the amount of alcohol ordered in one order has increased, the estimation unit 12a calculates a predicted value of the blood alcohol concentration. Make it bigger. In addition, how much will the predicted value increase when the frequency of alcohol orders increases, and how much will the predicted value increase when the amount of a certain call ordered in one order increases? The conditions for increasing the value are determined in advance by an administrator or the like, and are held by the estimating unit 12a.
Then, the estimation unit 12a estimates the degree of drunkenness of the customer after the predicted time based on the predicted value of the blood alcohol concentration after increasing (hereinafter referred to as "post-increasing predicted value"). Note that the estimating unit 12a calculates the predicted value of the blood alcohol concentration after the increase using a method similar to the method of estimating the degree of drunkenness based on the predicted value of the alcohol concentration by the estimating unit 12, which has already been explained in the first embodiment. It is sufficient to estimate the degree of drunkenness based on the following.
The estimation unit 12a outputs drunkenness information regarding the degree of drunkenness of the customer after the estimated predicted time to the output content determining unit 23.
　例えば、客は、飲食の途中からアルコール摂取を加速させることがある。アルコールの注文頻度が増加傾向にある場合、または、１回の注文におけるアルコールの注文量が増加した場合、これまでよりも客の血中アルコール濃度が上昇するペースが上がっていく可能性がある。そうすると、実際の予測時間後の客の血中アルコール濃度は、現時点で第１期間分のアルコール濃度情報から予測された予測時間後の客の血中アルコール濃度の予測値よりも、大きくなっていると想定される。
　そこで、推定部１２ａは、注文履歴から、現時点での客の血中アルコール濃度の予測値は小さく予測されている可能性があることを踏まえ、当該予測値を大きくした上で、客の予測時間後の客の酒酔い度を推定する。
　これにより、推定部１２ａは、より現状に即して客の予測時間後の酒酔い度を推定できる。その結果、飲酒状態推定装置１ａは、生体情報通知装置２ｂに対して、客が過度のアルコール摂取状態に陥りそうになった場合に、これを早く警告させることができる。 For example, customers may accelerate their alcohol intake midway through eating and drinking. If the frequency of alcohol orders tends to increase, or if the amount of alcohol ordered per order increases, there is a possibility that the blood alcohol concentration of customers will increase at a faster pace than before. Then, the actual blood alcohol concentration of the customer after the predicted time is higher than the predicted value of the customer's blood alcohol concentration after the predicted time, which is currently predicted from the alcohol concentration information for the first period. It is assumed that
Therefore, the estimation unit 12a increases the predicted value of the customer's blood alcohol concentration based on the order history, based on the possibility that the predicted value of the customer's blood alcohol concentration at the present moment is predicted to be small. Estimate the level of drunkenness of subsequent guests.
Thereby, the estimation unit 12a can estimate the degree of drunkenness of the customer after the predicted time more in accordance with the current situation. As a result, the drinking state estimating device 1a can quickly warn the biological information notifying device 2b if the customer is about to drink too much alcohol.
＜具体例２＞
　＜具体例１＞で想定していた場合とは逆に、例えば、客が、飲食の途中からアルコール摂取を控えだすこともある。アルコールの注文頻度が減少傾向にある場合、または、１回の注文におけるアルコールの注文量が減少した場合、客の血中アルコール濃度は緩やかに下降していく可能性がある。そうすると、実際の予測時間後の客の血中アルコール濃度は、現時点で第１期間分のアルコール濃度情報から予測された予測時間後の客の血中アルコール濃度の予測値よりも、小さくなっていると想定される。
　そこで、推定部１２ａは、注文履歴から、現時点での客の血中アルコール濃度の予測値は大きく予測されている可能性があることを踏まえ、当該予測値を小さくした上で、予測時間後の客の酒酔い度を推定する。なお、アルコールの注文頻度がどれぐらい減少傾向にある場合にどれぐらい予測値を小さくするか、および、１回の注文にて注文されたアルコールの量がどれぐらい減少した場合にどれぐらい予測値を小さくするかの条件は、管理者等によって予め決められ、推定部１２ａが保持している。
　これにより、推定部１２ａは、より現状に即して客の予測時間後の酒酔い度を推定できる。 <Specific example 2>
Contrary to the case assumed in <Specific Example 1>, for example, a customer may start refraining from drinking alcohol halfway through eating and drinking. If the frequency of alcohol orders tends to decrease, or if the amount of alcohol ordered per order decreases, the customer's blood alcohol concentration may gradually decrease. Then, the actual blood alcohol concentration of the customer after the predicted time will be lower than the predicted value of the customer's blood alcohol concentration after the predicted time, which is currently predicted from the alcohol concentration information for the first period. It is assumed that
Therefore, based on the order history, the estimated value of the blood alcohol concentration of the customer at the present time may be predicted to be large, and after reducing the predicted value, the estimating unit 12a Estimate the degree of drunkenness of the customer. In addition, how much should the predicted value be reduced when the frequency of alcohol orders tends to decrease, and how much should the predicted value be reduced when the amount of alcohol ordered per order decreases? The conditions for reducing the size are determined in advance by an administrator or the like, and are held by the estimation unit 12a.
Thereby, the estimation unit 12a can estimate the degree of drunkenness of the customer after the predicted time more in accordance with the current situation.
＜具体例３＞
　例えば、推定部１２ａは、第１期間分の時系列のアルコール濃度情報に基づき予測した予測時間後の客の血中アルコール濃度の予測値について、度数が閾値（以下「第１度数判定用閾値」という。）以上であるアルコールが注文された場合には、値を大きくした上で、予測時間後の客の酒酔い度を推定する。この場合、注文解析部１５から出力される解析結果には、注文されたアルコールの度数の情報が含まれていればよい。
　第１度数判定用閾値は、管理者等によって適宜設定可能である。 <Specific example 3>
For example, the estimating unit 12a determines that the predicted value of the blood alcohol concentration of the customer after the predicted time predicted based on the time-series alcohol concentration information for the first period, the alcohol concentration is a threshold value (hereinafter referred to as "first alcohol concentration threshold value"). ) or more is ordered, the value is increased and the customer's degree of drunkenness after the predicted time is estimated. In this case, the analysis result output from the order analysis section 15 only needs to include information on the alcohol content of the ordered alcohol.
The first frequency determination threshold can be set as appropriate by an administrator or the like.
　具体的には、推定部１２ａは、まず、＜具体例１＞と同様に、第１期間分の時系列のアルコール濃度情報に基づき、予測時間後の客の血中アルコール濃度の予測値を予測する。
　次に、推定部１２ａは、度数が第１度数判定用閾値以上であるアルコールが注文された場合、予測した血中アルコール濃度の予測値を大きくする。なお、第１度数判定用閾値よりどれぐらい大きい度数のアルコールが注文された場合にどれぐらい予測値を大きくするかの条件は、管理者等によって予め決められ、推定部１２ａが保持している。
　そして、推定部１２ａは、血中アルコール濃度のかさ上げ後予測値に基づき、予測時間後の客の酒酔い度を推定する。
　推定部１２ａは、推定した酒酔い度に関する酒酔い情報を、出力内容決定部２３に出力する。 Specifically, as in <Specific Example 1>, the estimation unit 12a first predicts the predicted value of the customer's blood alcohol concentration after the predicted time based on the time-series alcohol concentration information for the first period. do.
Next, when alcohol whose alcohol content is equal to or higher than the first alcohol determination threshold is ordered, the estimation unit 12a increases the predicted value of the blood alcohol concentration. Note that the conditions for determining how much the predicted value should be increased when alcohol with a higher alcohol content than the first alcohol content determination threshold is ordered are determined in advance by the administrator or the like, and are held by the estimating unit 12a.
Then, the estimation unit 12a estimates the degree of drunkenness of the customer after the predicted time based on the predicted value after increasing the blood alcohol concentration.
The estimating unit 12a outputs drunkenness information regarding the estimated degree of drunkenness to the output content determining unit 23.
　例えば、客は、飲食の途中で、飲むアルコールを度数の高い種類のものに変えることがある。度数が第１度数判定用閾値以上であるアルコールが注文された場合、今後、客の血中アルコール濃度が急激に上がる可能性がある。そうすると、実際の予測時間後の客の血中アルコール濃度は、現時点で第１期間分のアルコール濃度情報から予測された予測時間後の客の血中アルコール濃度の予測値よりも、大きくなっていると想定される。
　そこで、推定部１２ａは、注文履歴から、現時点での客の血中アルコール濃度の予測値は小さく予測されている可能性があることを踏まえ、当該予測値を大きくした上で、予測時間後の客の酒酔い度を推定する。
　これにより、推定部１２ａは、より現状に即して客の予測時間後の酒酔い度を推定できる。その結果、飲酒状態推定装置１ａは、生体情報通知装置２ｂに対して、客が過度のアルコール摂取状態に陥りそうになった場合に、これを早く警告させることができる。 For example, a customer may change the alcohol they drink to a higher alcohol type during a meal. If alcohol whose alcohol content is equal to or higher than the first alcohol determination threshold is ordered, there is a possibility that the customer's blood alcohol concentration will increase rapidly in the future. Then, the actual blood alcohol concentration of the customer after the predicted time is higher than the predicted value of the customer's blood alcohol concentration after the predicted time, which is currently predicted from the alcohol concentration information for the first period. It is assumed that
Therefore, the estimating unit 12a increases the predicted value based on the order history, based on the possibility that the predicted value of the customer's blood alcohol concentration at the present moment is predicted to be small, and then increases the predicted value after the predicted time. Estimate the degree of drunkenness of the customer.
Thereby, the estimation unit 12a can estimate the degree of drunkenness of the customer after the predicted time more in accordance with the current situation. As a result, the drinking state estimating device 1a can quickly warn the biological information notifying device 2b if the customer is about to drink too much alcohol.
＜具体例４＞
　＜具体例３＞で想定していた場合とは逆に、例えば、客が、飲食の途中で飲むアルコールを度数の低い種類のものに変えることもある。この場合、客の血中アルコール濃度は緩やかに下降していく可能性がある。そうすると、実際の予測時間後の客の血中アルコール濃度は、現時点で第１期間分のアルコール濃度情報から予測された予測時間後の客の血中アルコール濃度の予測値よりも、小さくなっていると想定される。
　そこで、推定部１２ａは、度数が予め設定された閾値（以下「第２度数判定用閾値」という。）未満であるアルコールが注文された場合、予測した血中アルコール濃度の予測値を大きくする。
　第２度数判定用閾値は、管理者等によって適宜設定可能である。なお、第２度数判定用閾値よりどれぐらい小さい度数のアルコールが注文された場合にどれぐらい予測値を小さくするかの条件は、管理者等によって予め決められ、推定部１２ａが保持している。
　推定部１２ａは、注文履歴から、現時点での客の血中アルコール濃度の予測値は大きく予測されている可能性があることを踏まえ、当該予測値を小さくした上で、予測時間後の客の酒酔い度を推定する。
　これにより、推定部１２ａは、より現状に即して予測時間後の客の酒酔い度を推定できる。 <Specific example 4>
Contrary to the case assumed in <Specific Example 3>, for example, a customer may change the alcohol they drink to a lower alcohol type during the meal. In this case, there is a possibility that the customer's blood alcohol concentration will gradually decrease. Then, the actual blood alcohol concentration of the customer after the predicted time will be lower than the predicted value of the customer's blood alcohol concentration after the predicted time, which is currently predicted from the alcohol concentration information for the first period. It is assumed that
Therefore, when alcohol whose alcohol content is less than a preset threshold (hereinafter referred to as "second alcohol content determination threshold") is ordered, the estimation unit 12a increases the predicted value of the blood alcohol concentration.
The second frequency determination threshold can be set as appropriate by an administrator or the like. Note that the conditions for determining how much the predicted value should be reduced when alcohol with a lower alcohol content than the second alcohol content determination threshold is ordered are determined in advance by the administrator or the like, and are held by the estimating unit 12a.
Based on the order history, the estimation unit 12a reduces the predicted value of the customer's blood alcohol concentration at the present time, based on the possibility that the predicted value of the blood alcohol concentration of the customer at the present time is large, and calculates the predicted value of the customer's blood alcohol concentration after the predicted time. Estimate the level of drunkenness.
Thereby, the estimation unit 12a can estimate the degree of drunkenness of the customer after the predicted time more in accordance with the current situation.
＜具体例５＞
　例えば、推定部１２ａは、第１期間分の時系列のアルコール濃度情報に基づき予測した予測時間後の客の血中アルコール濃度の予測値について、第１期間において注文されたアルコールの総量に対する第１期間における血中アルコール濃度の上昇具合いが基準値以上である場合には、値を大きくした上で、予測時間後の客の酒酔い度を推定する。この場合、注文解析部１５から出力される解析結果には、第１期間において注文されたアルコールの総量の情報が含まれていればよい。
　基準値は、管理者等によって、一般的な人のアルコールの分解速度を参考にした値が設定されている。 <Specific example 5>
For example, the estimating unit 12a calculates the predicted value of the blood alcohol concentration of the customer after the predicted time predicted based on the time-series alcohol concentration information for the first period. If the degree of increase in blood alcohol concentration during the period is greater than or equal to the reference value, the value is increased and the customer's degree of drunkenness after the predicted time is estimated. In this case, the analysis result output from the order analysis unit 15 only needs to include information on the total amount of alcohol ordered in the first period.
The standard value is set by an administrator or the like with reference to the rate of alcohol decomposition in a typical person.
　具体的には、推定部１２ａは、まず、＜具体例１＞と同様に、第１期間分の時系列のアルコール濃度情報に基づき、予測時間後の客の血中アルコール濃度の予測値を予測する。
　次に、推定部１２ａは、第１期間において注文されたアルコールの総量に対する第１期間における血中アルコール濃度の上昇具合いが基準値以上であるか否かを判定する。
　例えば、客が複数存在する場合、推定部１２ａは、複数の客が均等にアルコールを摂取したものとみなし、アルコールの総量を客の人数で割ったアルコールの量と、客全員の血中アルコール濃度の上昇具合いの平均値とを比較することで、第１期間において注文されたアルコールの総量に対する第１期間における血中アルコール濃度の上昇具合いが基準値以上であるか否かを判定する。例えば、推定部１２ａは、アルコールの総量を客の人数で割ったアルコールの量と、一番血中アルコール濃度の上昇具合いが大きい客の血中アルコール濃度の上昇具合いとを比較することで、第１期間において注文されたアルコールの総量に対する第１期間における血中アルコール濃度の上昇具合いが基準値以上であるか否かを判定してもよい。
　第１期間において注文されたアルコールの総量に対する第１期間における血中アルコール濃度の上昇具合いが基準値以上である場合、推定部１２ａは、予測した血中アルコール濃度の予測値を大きくする。
　なお、注文されたアルコールの総量に対する血中アルコール濃度の上昇具合いが基準値に対してどれぐらい大きい場合にどれぐらい予測値を大きくするかの条件は、管理者等によって予め決められ、推定部１２ａが保持している。
　そして、推定部１２ａは、血中アルコール濃度のかさ上げ後予測値に基づき、予測時間後の客の酒酔い度を推定する。
　推定部１２ａは、推定した予測時間後の客の酒酔い度に関する酒酔い情報を、出力内容決定部２３に出力する。 Specifically, as in <Specific Example 1>, the estimation unit 12a first predicts the predicted value of the customer's blood alcohol concentration after the predicted time based on the time-series alcohol concentration information for the first period. do.
Next, the estimating unit 12a determines whether the degree of increase in blood alcohol concentration in the first period relative to the total amount of alcohol ordered in the first period is equal to or higher than a reference value.
For example, if there are multiple customers, the estimating unit 12a assumes that the multiple customers have consumed alcohol equally, and calculates the total amount of alcohol divided by the number of customers and the blood alcohol concentration of all the customers. It is determined whether the degree of increase in blood alcohol concentration in the first period with respect to the total amount of alcohol ordered in the first period is equal to or higher than the reference value by comparing the average value of the degree of increase in . For example, the estimation unit 12a compares the amount of alcohol obtained by dividing the total amount of alcohol by the number of customers and the degree of increase in blood alcohol concentration of the customer whose blood alcohol concentration has increased the most. It may be determined whether the degree of increase in blood alcohol concentration in the first period relative to the total amount of alcohol ordered in one period is equal to or higher than a reference value.
If the degree of increase in the blood alcohol concentration in the first period with respect to the total amount of alcohol ordered in the first period is equal to or greater than the reference value, the estimation unit 12a increases the predicted value of the predicted blood alcohol concentration.
Note that the conditions for how much the predicted value should be increased when the degree of increase in the blood alcohol concentration relative to the total amount of alcohol ordered is greater than the reference value are determined in advance by the administrator, etc., and the estimation unit 12a is held.
Then, the estimation unit 12a estimates the degree of drunkenness of the customer after the predicted time based on the predicted value after increasing the blood alcohol concentration.
The estimating unit 12a outputs drunkenness information regarding the degree of drunkenness of the customer after the estimated predicted time to the output content determining unit 23.
　体内のアルコールの分解速度は、人によって異なる。例えば、他の人と同じ量のアルコールを摂取したとしても、血中アルコール濃度の上昇が他の人と比べて激しい人、すなわち、アルコールの分解速度が遅い人もいる。客が、体内のアルコールの分解速度が遅い体質の人である場合、早めに近い将来過度のアルコール摂取状態に陥ることを警告しておくほうがよいと想定される。
　そこで、推定部１２ａは、現時点での客の血中アルコール濃度の予測値を大きくした上で、客の酒酔い度を推定する。推定部１２ａが客の血中アルコール濃度の予測値を大きくすることで客の予測時間後の酒酔い度は大きく推定され、その結果、出力内容決定部２３において、近い将来過度のアルコール摂取状態に陥ることを警告すると決定されるタイミングが早まる。
　推定部１２ａは、客の体質を考慮して予測時間後の客の酒酔い度を推定できる。その結果、飲酒状態推定装置１ａは、生体情報通知装置２ｂに対して、近い将来過度のアルコール摂取状態に陥ることを早めに警告しておいたほうがよいと想定される客に、早めに警告させることができる。 The rate at which alcohol is broken down in the body varies from person to person. For example, even if some people consume the same amount of alcohol as others, their blood alcohol concentration increases more rapidly than others, that is, some people break down alcohol at a slower rate. If the customer is a person whose body decomposes alcohol at a slow rate, it is assumed that it is better to warn the customer as early as possible that he or she will end up in a state of excessive alcohol consumption in the near future.
Therefore, the estimating unit 12a increases the predicted value of the customer's blood alcohol concentration at the current time, and then estimates the customer's degree of drunkenness. By increasing the predicted value of the customer's blood alcohol concentration by the estimation unit 12a, the degree of drunkenness of the customer after the predicted time is estimated to be large, and as a result, the output content determining unit 23 determines that the customer will be in a state of excessive alcohol intake in the near future. If you warn that something is about to happen, the timing of the decision will be accelerated.
The estimating unit 12a can estimate the degree of drunkenness of the customer after the predicted time by taking into consideration the customer's constitution. As a result, the drinking state estimating device 1a causes the biological information notifying device 2b to give an early warning to the customer who is assumed to be in a state of excessive alcohol consumption in the near future. be able to.
＜具体例４＞
　＜具体例３＞で想定していた場合とは逆に、例えば、他の人と同じ量のアルコールを摂取したとしても、血中アルコール濃度の上昇が他の人と比べて緩やかな人、すなわち、アルコールの分解速度が速い人もいる。客が、体内のアルコールの分解速度が速い体質の人である場合、近い将来過度のアルコール摂取状態に陥ることの警告のタイミングを遅くしても問題ないと想定される。
　そこで、例えば、推定部１２ａは、第１期間分の時系列のアルコール濃度情報に基づき予測した予測時間後の客の血中アルコール濃度の予測値について、第１期間において注文されたアルコールの総量に対する第１期間における血中アルコール濃度の上昇具合いが基準値未満である場合には、値を小さくした上で、予測時間後の客の酒酔い度を推定してもよい。なお、注文されたアルコールの総量に対する血中アルコール濃度の上昇具合いが基準値に対してどれぐらい小さい場合にどれぐらい予測値を小さくするかの条件は、管理者等によって予め決められ、推定部１２ａが保持している。 <Specific example 4>
Contrary to the case assumed in <Specific Example 3>, for example, even if a person ingests the same amount of alcohol as other people, the blood alcohol concentration increases more slowly than other people, i.e. , some people break down alcohol faster. If the customer is a person whose body decomposes alcohol quickly, it is assumed that there is no problem in delaying the timing of the warning that the customer will be in a state of excessive alcohol consumption in the near future.
Therefore, for example, the estimating unit 12a calculates the predicted value of the blood alcohol concentration of the customer after the predicted time predicted based on the time-series alcohol concentration information for the first period, relative to the total amount of alcohol ordered in the first period. If the degree of increase in blood alcohol concentration during the first period is less than the reference value, the value may be reduced and the drunkenness level of the customer after the predicted time may be estimated. Note that the conditions for how small the predicted value should be when the degree of increase in blood alcohol concentration relative to the total amount of alcohol ordered is smaller than the reference value are determined in advance by the administrator, etc., and the estimation unit 12a is held.
　推定部１２ａが客の血中アルコール濃度の予測値を小さくすることで客の予測時間後の酒酔い度は小さく推定され、その結果、出力内容決定部２３において、近い将来過度のアルコール摂取状態に陥ることを警告すると決定されるタイミングが遅くなる。
　推定部１２ａは、客の体質を考慮して予測時間後の客の酒酔い度を推定できる。その結果、飲酒状態推定装置１ａは、生体情報通知装置２ｂに対して、近い将来過度のアルコール摂取状態に陥ることの警告のタイミングを遅くしても問題ないと想定される客に、タイミングをずらして警告させることができる。 By reducing the predicted value of the customer's blood alcohol concentration by the estimation unit 12a, the degree of drunkenness of the customer after the predicted time is estimated to be small, and as a result, the output content determining unit 23 determines that the customer will be in a state of excessive alcohol intake in the near future. If you warn that something is going to happen, the timing of the decision will be delayed.
The estimating unit 12a can estimate the degree of drunkenness of the customer after the predicted time by taking into account the customer's constitution. As a result, the drinking state estimating device 1a sends a warning to the biological information notifying device 2b that the customer will be warned about excessive alcohol consumption in the near future. It is possible to give a warning.
　実施の形態２に係る飲酒状態推定装置１ａを備えた実施の形態２に係る生体情報通知装置２ｂの動作について説明する。
　図１８は、実施の形態２に係る飲酒状態推定装置１ｂを備えた実施の形態２に係る生体情報通知装置２ｂの動作について説明するためのフローチャートである。
　例えば、タブレット端末１００ａの電源がオンにされると、飲酒状態推定装置１ａおよび生体情報通知装置２ｂは、図１８のフローチャートで示すような動作を開始する。
　図１８のステップＳＴ１１～ステップＳＴ１２の具体的な動作は、それぞれ、実施の形態１にて説明済みの、図９のステップＳＴ１～ステップＳＴ２の具体的な動作と同様であるため、重複した説明を省略する。 The operation of the biological information notification device 2b according to the second embodiment, which includes the drinking state estimation device 1a according to the second embodiment, will be described.
FIG. 18 is a flowchart for explaining the operation of the biological information notification device 2b according to the second embodiment, which includes the drinking state estimation device 1b according to the second embodiment.
For example, when the power of the tablet terminal 100a is turned on, the drinking state estimation device 1a and the biological information notification device 2b start operations as shown in the flowchart of FIG. 18.
The specific operations in steps ST11 and ST12 in FIG. 18 are the same as the specific operations in steps ST1 and ST2 in FIG. 9, which have already been explained in Embodiment 1. Omitted.
　飲酒状態推定装置１ａの注文情報取得部１４は、注文履歴記憶部６３を参照して注文履歴情報を取得すると、取得した注文履歴情報を、注文解析部１５に出力する。
　注文解析部１５は、注文情報取得部１４が取得した注文履歴情報に基づき、注文内容を解析する（ステップＳＴ１３）。 The order information acquisition unit 14 of the drinking state estimation device 1a refers to the order history storage unit 63 and acquires the order history information, and then outputs the acquired order history information to the order analysis unit 15.
The order analysis unit 15 analyzes the order details based on the order history information acquired by the order information acquisition unit 14 (step ST13).
　飲酒状態推定装置１ａのアルコール濃度情報取得部１１は、アルコール濃度検知センサ５から、飲食店内の客の血中アルコール濃度を示すアルコール濃度情報を取得する（ステップＳＴ１４）。
　アルコール濃度情報取得部１１は、アルコール濃度検知センサ５からアルコール濃度情報が出力されるまで、ステップＳＴ１４の処理を繰り返して待機する。図１８のフローチャートでは図示を省略しているが、図１８のフローチャートの動作が行われる間、並行して、生体情報通知装置２ｂの受付部６１は注文を受け付け、発注部６２は注文履歴情報を生成し、当該注文履歴情報の取得日時と対応付けて、注文履歴記憶部６３に記憶させるとともに、アルコール濃度検知センサ５に対して濃度取得開始指示を出力する。
　アルコール濃度情報取得部１１は、取得したアルコール濃度情報を、当該アルコール濃度情報の取得日時と対応付けて、濃度情報記憶部１３に記憶させるとともに、推定部１２ｂに出力する。 The alcohol concentration information acquisition unit 11 of the drinking state estimating device 1a acquires alcohol concentration information indicating the blood alcohol concentration of the customer in the restaurant from the alcohol concentration detection sensor 5 (step ST14).
The alcohol concentration information acquisition unit 11 repeats the process of step ST14 and waits until alcohol concentration information is output from the alcohol concentration detection sensor 5. Although illustration is omitted in the flowchart of FIG. 18, while the operation of the flowchart of FIG. It is stored in the order history storage unit 63 in association with the acquisition date and time of the order history information, and outputs an instruction to start concentration acquisition to the alcohol concentration detection sensor 5.
The alcohol concentration information acquisition unit 11 stores the acquired alcohol concentration information in the concentration information storage unit 13 in association with the acquisition date and time of the alcohol concentration information, and outputs it to the estimation unit 12b.
　飲酒状態推定装置１ａの推定部１２ａは、ステップＳＴ１４にてアルコール濃度情報取得部１１が取得したアルコール濃度情報に基づいて、客の飲酒状態、言い換えれば、予測時間後の客の酒酔い度を推定する状態推定処理を行う（ステップＳＴ１５）。 The estimation unit 12a of the drinking state estimation device 1a estimates the drinking state of the customer, in other words, the degree of drunkenness of the customer after the predicted time based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit 11 in step ST14. A state estimation process is performed (step ST15).
　生体情報通知装置２ｂの出力内容決定部２３は、ステップＳＴ１４にて推定部１２ａが推定した予測時間後の客の酒酔い度に基づき出力内容を決定し、割当部２２が割り当てたキャラクターを、決定した出力内容に応じた形態で表示させるための出力制御情報を生成し、出力部２４を介して出力装置４１，４２に出力させるキャラクター表示処理を行う（ステップＳＴ１６）。
　ステップＳＴ１６の処理を行うと、生体情報通知装置２ｂの動作は、ステップＳＴ１３に戻る。 The output content determining unit 23 of the biological information notification device 2b determines the output content based on the degree of drunkenness of the customer after the predicted time estimated by the estimating unit 12a in step ST14, and determines the character assigned by the assigning unit 22. Output control information for displaying in a format corresponding to the output content is generated, and character display processing is performed to output it to the output devices 41 and 42 via the output unit 24 (step ST16).
After performing the process of step ST16, the operation of the biological information notification device 2b returns to step ST13.
　なお、ここでは、生体情報通知装置２ｂの動作について、図１８のステップＳＴ１６の処理の後、ステップＳＴ１３に戻り、以降の処理を繰り返すものとするが、これは一例に過ぎない。
　生体情報通知装置２ｂの動作は、例えば、図１８のステップＳＴ１６の処理の後、ステップＳＴ１１に戻るようにしてもよい。
　これにより、生体情報通知装置２ｂは、実施の形態１に係る生体情報通知装置２同様、客同士で席が入れ替わることによって箸５０１、言い換えれば、アルコール濃度検知センサ５の位置の変更があったとしても、当該変更にあわせて、表示させるキャラクターの位置が変更されるようにできる。生体情報通知装置２は、客に対して、自分の席の移動に伴って、自分の飲酒状態をあらわすキャラクターも移動したと思わせることができる。客は、自分の飲酒状態をあらわすキャラクターが変わることによる混乱を起こさずに済む。 Here, regarding the operation of the biological information notification device 2b, after the process of step ST16 in FIG. 18, the process returns to step ST13 and the subsequent processes are repeated, but this is only an example.
The operation of the biological information notification device 2b may be such that, for example, after the process of step ST16 in FIG. 18, the operation returns to step ST11.
As a result, the biometric information notifying device 2b, like the biometric information notifying device 2 according to the first embodiment, assumes that the position of the chopsticks 501, in other words, the position of the alcohol concentration detection sensor 5 has changed due to the change of seats between customers. Also, the position of the character to be displayed can be changed in accordance with the change. The biological information notification device 2 can make the customer think that the character representing his or her drinking status has also moved as the customer's seat has moved. Customers do not need to be confused by the change of characters representing their drinking status.
　また、図１８のフローチャートでは、ステップＳＴ１３、ステップＳＴ１４の順で処理が行われるものとしたが、これは一例に過ぎない。ステップＳＴ１３の処理とステップＳＴ１４の処理の順番は逆でもよいし、ステップＳＴ１３の処理とステップＳＴ１４の処理が並行して行われてもよい。 Furthermore, in the flowchart of FIG. 18, the processing is performed in the order of step ST13 and step ST14, but this is only an example. The order of the processing in step ST13 and the processing in step ST14 may be reversed, or the processing in step ST13 and the processing in step ST14 may be performed in parallel.
　図１９は、図１８のステップＳＴ１５における、推定部１２ａによる状態推定処理の詳細を説明するためのフローチャートである。 FIG. 19 is a flowchart for explaining details of the state estimation process by the estimator 12a in step ST15 of FIG. 18.
　推定部１２ａは、濃度情報記憶部１３を参照し、第１期間分の時系列のアルコール濃度情報を取得する（ステップＳＴ１５１）。 The estimation unit 12a refers to the concentration information storage unit 13 and obtains time-series alcohol concentration information for the first period (step ST151).
　推定部１２ａは、まず、第１期間分の時系列のアルコール濃度情報に基づき、予測時間後の客の血中アルコール濃度の予測値を予測する。
　推定部１２ａは、血中アルコール濃度の予測値を予測すると、予測した血中アルコール濃度の予測値と、図１８のステップＳＴ１３にて注文解析部１５が解析した注文内容の解析結果とに基づき、予測時間後の客の酒酔い度を推定する（ステップＳＴ１５２）。 The estimation unit 12a first predicts the predicted value of the customer's blood alcohol concentration after the predicted time based on the time-series alcohol concentration information for the first period.
Once the estimation unit 12a predicts the predicted value of the blood alcohol concentration, the estimation unit 12a estimates the predicted value of the blood alcohol concentration based on the predicted value of the blood alcohol concentration and the analysis result of the order content analyzed by the order analysis unit 15 in step ST13 of FIG. The degree of drunkenness of the customer after the predicted time is estimated (step ST152).
　図２０は、図１８のステップＳＴ１６おける、出力内容決定部２３によるキャラクター表示処理の詳細を説明するためのフローチャートである。
　図２０のステップＳＴ５１ａ～ステップＳＴ５４ａの具体的な動作は、それぞれ、実施の形態１にて説明済みの、図１１のステップＳＴ５１～ステップＳＴ５４と同様であるため、重複した説明を省略する。 FIG. 20 is a flowchart for explaining details of the character display process by the output content determination unit 23 in step ST16 of FIG. 18.
The specific operations of steps ST51a to ST54a in FIG. 20 are the same as steps ST51 to ST54 in FIG. 11, which have already been explained in Embodiment 1, so a duplicate explanation will be omitted.
　このように、実施の形態２に係る飲酒状態推定装置１ａは、注文履歴情報に基づき注文内容を解析し、第１期間分の時系列のアルコール濃度情報と注文内容の解析結果とに基づき、予測時間後の客の酒酔い度を推定する。
　これにより、飲酒状態推定装置１ａは、時系列のアルコール濃度情報のみから予測時間後の客の酒酔い度を推定する場合と比べ、アルコールの注文頻度、１回の注文におけるアルコールの注文量、注文されたアルコールの度数、または、客の体内のアルコール分解速度等を考慮し、より現状に即した予測時間後の客の酒酔い度の推定を行うことができる。 In this way, the drinking state estimating device 1a according to the second embodiment analyzes the order content based on the order history information, and makes a prediction based on the time-series alcohol concentration information for the first period and the analysis result of the order content. To estimate the degree of drunkenness of a customer after hours.
As a result, the drinking state estimating device 1a can estimate the degree of drunkenness of the customer after the predicted time based only on time-series alcohol concentration information. By taking into account the degree of alcohol consumed or the rate of alcohol decomposition in the customer's body, it is possible to estimate the customer's degree of drunkenness after a predicted time that is more in line with the current situation.
　以上の実施の形態２において、生体情報通知装置２ｂの出力内容決定部２３は、アルコール濃度情報取得部１１が取得したアルコール濃度情報に基づき、現在の客の血中アルコール濃度が閾値（以下「現濃度判定用閾値」という。）を超えていると判定した場合、飲酒状態推定装置１の推定部１２が推定した客の飲酒状態によらず客に対して近い将来過度のアルコール摂取状態に陥ることを警告すると決定し、客に対して近い将来過度のアルコール摂取状態に陥ることを警告する形態でキャラクターを表示させるための出力制御情報を生成することもできる。現濃度判定用閾値は、管理者等によって適宜設定可能である。現濃度判定用閾値には、例えば、すでに過度のアルコール摂取状態に近い状態にあり、至急飲酒を控えるべき状態といえる血中アルコール濃度の値が設定される。
　なお、この場合、出力内容決定部２３は、推定部１２ａを介して、アルコール濃度情報取得部１１が取得したアルコール濃度情報を取得すればよい。
　なお、この場合の生体情報通知装置２ｂの構成例は、図１７で示した生体情報通知装置２ｂの構成例と同様である。
　この場合の生体情報通知装置２ｂの具体的な動作は、以上の実施の形態２にて図１８のフローチャートを用いて説明した生体情報通知装置２ｂの具体的な動作とは、図１８のステップＳＴ１６の処理の詳細が異なる。以下、以上の実施の形態２にて説明済みの生体情報通知装置２ｂの具体的な動作とは異なる、図１８のステップＳＴ１６の処理の詳細について説明する。 In the second embodiment described above, the output content determination unit 23 of the biological information notification device 2b determines that the current blood alcohol concentration of the customer is a threshold value (hereinafter referred to as “current value”) based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit 11. If it is determined that the alcohol consumption exceeds the alcohol concentration determination threshold (referred to as "Concentration Judgment Threshold"), regardless of the customer's drinking state estimated by the estimation unit 12 of the drinking state estimating device 1, the customer will be in a state of excessive alcohol consumption in the near future. It is also possible to generate output control information for displaying a character in a form that warns the customer that he or she will be in a state of excessive alcohol consumption in the near future. The current concentration determination threshold value can be set as appropriate by an administrator or the like. The current concentration determination threshold is set to, for example, a blood alcohol concentration value that indicates that the person is already in a state of excessive alcohol intake and should urgently refrain from drinking alcohol.
In this case, the output content determining unit 23 may acquire the alcohol concentration information acquired by the alcohol concentration information acquiring unit 11 via the estimating unit 12a.
Note that the configuration example of the biometric information notification device 2b in this case is the same as the configuration example of the biometric information notification device 2b shown in FIG. 17.
The specific operation of the biometric information notification device 2b in this case is the same as the specific operation of the biometric information notification device 2b described in the second embodiment using the flowchart of FIG. The processing details are different. Hereinafter, details of the process of step ST16 in FIG. 18, which is different from the specific operation of the biological information notification device 2b already explained in the second embodiment above, will be explained.
　図２１は、実施の形態２において、生体情報通知装置２ｂの出力内容決定部２３が、現在の客の血中アルコール濃度が現濃度判定用閾値を超えていると判定した場合、客に対して近い将来過度のアルコール摂取状態に陥ることを警告すると決定するようにした場合の、出力内容決定部２３によるキャラクター表示処理の詳細について説明するためのフローチャートである。
　出力内容決定部２３が、現在の客の血中アルコール濃度が現濃度判定用閾値を超えていると判定した場合に、推定部１２が推定した客の飲酒状態によらず、客に対して警告する場合、生体情報通知装置２ｂは、図２０で示したような動作に代えて、図２１のフローチャートで示すような動作を行う。
　図２１のフローチャートで示す動作では、図２０のフローチャートで示す動作と比べ、ステップＳＴ５１ａ－１の処理が追加になっている。図２１のステップＳＴ５１ａ～ステップＳＴ５４ａの具体的な動作は、それぞれ、説明済みの、図２０のステップＳＴ５１ａ～ステップＳＴ５４ａの具体的な動作と同様である。 FIG. 21 shows that in the second embodiment, when the output content determining unit 23 of the biological information notification device 2b determines that the current blood alcohol concentration of the customer exceeds the current concentration determination threshold, 12 is a flowchart illustrating details of character display processing by the output content determining unit 23 in a case where it is determined to issue a warning that the user will be in a state of excessive alcohol intake in the near future.
When the output content determination unit 23 determines that the customer's current blood alcohol concentration exceeds the current concentration determination threshold, a warning is issued to the customer regardless of the customer's drinking state estimated by the estimation unit 12. In this case, the biological information notification device 2b performs the operation shown in the flowchart of FIG. 21 instead of the operation shown in FIG.
In the operation shown in the flowchart of FIG. 21, the process of step ST51a-1 is added compared to the operation shown in the flowchart of FIG. The specific operations in steps ST51a to ST54a in FIG. 21 are the same as the specific operations in steps ST51a to ST54a in FIG. 20, which have already been explained.
　ステップＳＴ５１ａ－１において、出力内容決定部２３は、現在の客の血中アルコール濃度が現濃度判定用閾値を超えているか否かを判定する（ステップＳＴ５１ａ－１）。
　現在の客の血中アルコール濃度が現濃度判定用閾値を超えていると判定した場合（ステップＳＴ５１ａ－１の“ＹＥＳ”の場合）、出力内容決定部２３の動作は、ステップＳＴ５２ａの処理へ進む。
　現在の客の血中アルコール濃度が現濃度判定用閾値を超えていないと判定した場合（ステップＳＴ５１ａ－１の“ＮＯ”の場合）、出力内容決定部２３の動作は、ステップＳＴ５１ａの処理へ進む。 In step ST51a-1, the output content determination unit 23 determines whether the customer's current blood alcohol concentration exceeds the current concentration determination threshold (step ST51a-1).
If it is determined that the current blood alcohol concentration of the customer exceeds the current concentration determination threshold (“YES” in step ST51a-1), the operation of the output content determining unit 23 proceeds to the processing in step ST52a. .
If it is determined that the current blood alcohol concentration of the customer does not exceed the current concentration determination threshold (“NO” in step ST51a-1), the operation of the output content determining unit 23 proceeds to the processing in step ST51a. .
　以上の実施の形態２では、飲酒状態推定装置１ａは、上述のとおり、注文履歴を考慮して客の飲酒状態の推定を行う。したがって、飲酒状態推定装置１ａは、注文履歴の内容によっては、予測時間後の客の酒酔い度を低く予測する場合がある。例えば、飲酒状態推定装置１ａは、注文履歴を考慮した結果、客はアルコール度数が低いアルコールを注文しているため、予測時間が経過するまでの間もその注文状況が続くと仮定し、予測時間後の客の血中アルコール濃度の予測値を小さくする場合がある。その結果、飲酒状態推定装置１ａは、予測時間後の客の酒酔い度を低く予測することになる。しかし、現状、すでに過度のアルコール摂取状態に近い状態であるなら、このような考慮は不要であり、至急、客に対して警告したほうがよい。仮に、客がアルコール度数の高いアルコールを飲みだした場合、それまでキャラクターを通して過度のアルコール摂取状態に陥ることについて何ら示唆していなかったにもかかわらず、一気に過度のアルコール摂取状態に陥ることへの警告をすることになり得る。そこで、生体情報通知装置２ｂにおいて、出力内容決定部２３は、現在の客の血中アルコール濃度が現濃度判定用閾値を超えていると判定した場合、飲酒状態推定装置１ａの推定部１２ａが推定した客の飲酒状態によらず、言い換えれば、注文履歴を考慮せず、客に対して近い将来過度のアルコール摂取状態に陥ることを警告するようにしてもよい。 In the above-described second embodiment, the drinking state estimating device 1a estimates the drinking state of the customer in consideration of the order history, as described above. Therefore, depending on the contents of the order history, the drinking state estimating device 1a may predict the customer's drunkenness level after the predicted time to be low. For example, as a result of considering the order history, the drinking state estimating device 1a assumes that since the customer has ordered alcohol with a low alcohol content, this order status will continue until the predicted time elapses, and the predicted time The predicted value of the blood alcohol concentration of subsequent customers may be reduced. As a result, the drinking state estimating device 1a predicts the customer's drunkenness level after the predicted time to be low. However, if the customer is already in a state of excessive alcohol consumption, such consideration is unnecessary and it is better to warn the customer immediately. If a customer starts drinking alcohol with a high alcohol content, even though the character has not previously indicated that he or she will be in a state of excessive alcohol consumption, there will be no hint that the customer will suddenly become in a state of excessive alcohol consumption. This could result in a warning. Therefore, in the biological information notification device 2b, when the output content determining unit 23 determines that the current blood alcohol concentration of the customer exceeds the current concentration determination threshold, the estimating unit 12a of the drinking state estimation device 1a In other words, the system may warn the customer that he or she will drink too much alcohol in the near future, regardless of the customer's drinking state, or in other words, without considering the order history.
　また、以上の実施の形態２において、生体情報通知装置２ｂは、客の数に対して注文されたアルコールの量が多い場合、または、度数が高いアルコールが注文された場合、客に対して、過度のアルコール摂取への注意喚起を行うと決定し、客に対して過度のアルコール摂取への注意喚起を行う形態でキャラクターを表示させてもよい。
　図２２は、実施の形態２において、客の数に対して注文されたアルコールの量が多い場合、または、度数が高いアルコールが注文された場合、客に対して、過度のアルコール摂取への注意喚起を行う形態でキャラクターを表示させる機能を有する場合の、生体情報通知装置２ｃの構成例を示す図である。
　上記機能を有する場合、生体情報通知装置２ｃにおいて、出力内容決定部２３ａの具体的な動作が、図１７を用いて説明した生体情報通知装置２ｂの出力内容決定部２３の具体的な動作とは異なる。
　出力内容決定部２３ａの機能は、実施の形態１において説明済みの、生体情報通知装置２ａが備える出力内容決定部２３ａ（図１２参照）の機能と同様であるため、重複した説明を省略する。
　ただし、実施の形態２では、出力内容決定部２３ａは、解析結果を、飲酒状態推定装置１ａの注文解析部１５から取得する。
　出力内容決定部２３ａは、注文解析部１５から出力された解析結果に基づき、客の数に対して注文されたアルコールの量が多いと判定した場合、または、注文されたアルコールの度数が高いと判定した場合、客に対して過度のアルコール摂取への注意喚起を行うと決定する。そして、出力内容決定部２３ａは、図１３に示すような注意喚起のための表示画面を表示させるための出力制御情報を生成して、出力部２４を介して出力装置４１，４２に出力する。 In addition, in the second embodiment described above, the biological information notification device 2b provides the following information to the customer when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered. It may be decided to warn customers against excessive alcohol consumption, and a character may be displayed in a form that warns customers against excessive alcohol consumption.
FIG. 22 shows that in Embodiment 2, when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered, customers are advised to be careful not to consume excessive alcohol. It is a figure which shows the example of a structure of the biological information notification apparatus 2c in the case where it has the function of displaying a character in the form which carries out evocation.
When the above function is provided, the specific operation of the output content determining unit 23a in the biological information notification device 2c is different from the specific operation of the output content determining unit 23 of the biological information notification device 2b explained using FIG. 17. different.
The function of the output content determining unit 23a is the same as that of the output content determining unit 23a (see FIG. 12) included in the biological information notification device 2a, which has already been explained in Embodiment 1, so a duplicate explanation will be omitted.
However, in the second embodiment, the output content determination unit 23a obtains the analysis result from the order analysis unit 15 of the drinking state estimation device 1a.
Based on the analysis result output from the order analysis unit 15, the output content determination unit 23a determines that the amount of alcohol ordered is large relative to the number of customers, or that the alcohol content ordered is high. If it is determined, the decision will be made to warn customers against excessive alcohol consumption. Then, the output content determining unit 23a generates output control information for displaying a display screen for calling attention as shown in FIG. 13, and outputs it to the output devices 41 and 42 via the output unit 24.
　図２３は、実施の形態２において、生体情報通知装置を、図２２に示すような構成例を有する生体情報通知装置２ｃとした場合の、生体情報通知装置２ｃの動作を説明するためのフローチャートである。
　図２３のステップＳＴ１１ａ～ステップＳＴ１３ａ、ステップＳＴ１６ａ～ステップＳＴ１８ａの具体的な動作は、それぞれ、図１８を用いて説明済みの、図１８のステップＳＴ１１～ステップＳＴ１６の具体的な動作と同様であるため、重複した説明を省略する。
　また、図２３のステップＳＴ１４ａ～ステップＳＴ１５ａの具体的な動作は、それぞれ、実施の形態１にて説明済みの、図１４のステップＳＴ４ａ～ステップＳＴ５ａの具体的な動作と同様であるため、重複した説明を省略する。
　なお、ステップＳＴ１４ａにおいて、出力内容決定部２３ａは、ステップＳＴ１３ａにて注文解析部１５から出力された解析結果に基づき、客の数に対して注文されたアルコールの量が多いか、または、注文されたアルコールの度数が高いかを判定する。 FIG. 23 is a flowchart for explaining the operation of the biometric information notification device 2c in the second embodiment when the biometric information notification device 2c has the configuration example shown in FIG. be.
The specific operations of steps ST11a to ST13a and steps ST16a to ST18a in FIG. 23 are the same as the specific operations of steps ST11 to ST16 in FIG. 18, which have already been explained using FIG. 18, respectively. , duplicate explanations will be omitted.
Further, since the specific operations in steps ST14a to ST15a in FIG. 23 are similar to the specific operations in steps ST4a to ST5a in FIG. 14, which have already been explained in Embodiment 1, the The explanation will be omitted.
In addition, in step ST14a, the output content determination unit 23a determines whether the amount of alcohol ordered is large relative to the number of customers, or whether the amount of alcohol ordered is large based on the analysis result output from the order analysis unit 15 in step ST13a. Determine whether the alcohol content is high.
　なお、ここでは、生体情報通知装置２ｃの動作について、図２３のステップＳＴ１８ａの処理の後、ステップＳＴ１３ａに戻り、以降の処理を繰り返すものとするが、これは一例に過ぎない。生体情報通知装置２ｃの動作は、例えば、図２３のステップＳＴ１８ａの処理の後、ステップＳＴ１１ａに戻るようにしてもよい。 Here, regarding the operation of the biological information notification device 2c, after the process of step ST18a in FIG. 23, the process returns to step ST13a and the subsequent processes are repeated, but this is only an example. The operation of the biological information notification device 2c may be such that, for example, after the process of step ST18a in FIG. 23, the operation returns to step ST11a.
　このように、実施の形態２において、生体情報通知装置２ｃは、客の数に対して注文されたアルコールの量が多い場合、または、度数が高いアルコールが注文された場合、客に対して、過度のアルコール摂取への注意喚起を行う形態でキャラクターを表示させてもよい。これにより、生体情報通知装置２ｃは、客の過度のアルコール摂取を未然に防ぐための支援を行うことができる。 In this way, in the second embodiment, the biological information notification device 2c tells the customer when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered. The character may be displayed in a form that calls attention to excessive alcohol intake. Thereby, the biological information notification device 2c can provide support to prevent the customer from consuming excessive alcohol.
　実施の形態２に係る飲酒状態推定装置１ａのハードウェア構成は、実施の形態１において図１５Ａおよび図１５Ｂを用いて説明した飲酒状態推定装置１のハードウェア構成と同様であるため、図示を省略する。
　実施の形態２において、アルコール濃度情報取得部１１と、推定部１２ａと、注文情報取得部１４と、注文解析部１５の機能は、処理回路１００１により実現される。すなわち、飲酒状態推定装置１ａは、アルコール濃度検知センサ５から取得したアルコール濃度情報と注文履歴とに基づき、客の飲酒状態を推定する制御を行うための処理回路１００１を備える。
　処理回路１００１は、メモリ１００５に記憶されたプログラムを読み出して実行することにより、アルコール濃度情報取得部１１と、推定部１２ａと、注文情報取得部１４と、注文解析部１５の機能を実行する。すなわち、飲酒状態推定装置１ａは、処理回路１００１により実行されるときに、上述の図１８のステップＳＴ１３～ステップＳＴ１５、図２３のステップＳＴ１３ａ、ステップＳＴ１６ａ～ステップＳＴ１７ａが結果的に実行されることになるプログラムを格納するためのメモリ１００５を備える。また、メモリ１００５に記憶されたプログラムは、アルコール濃度情報取得部１１と、推定部１２ａと、注文情報取得部１４と、注文解析部１５の手順または方法をコンピュータに実行させるものであるともいえる。
　また、飲酒状態推定装置１ａは、アルコール濃度検知センサ５、出力装置４２等の装置と、有線通信または無線通信を行う入力インタフェース装置１００２および出力インタフェース装置１００３を備える。
　また、濃度情報記憶部１３は、ＨＤＤ（Ｈａｒｄ　Ｄｉｓｋ　Ｄｒｉｖｅ）、メモリ１００５、ＤＶＤ等で構成される。 The hardware configuration of the drinking state estimating device 1a according to the second embodiment is the same as the hardware configuration of the drinking state estimating device 1 described using FIGS. 15A and 15B in the first embodiment, so illustration thereof is omitted. do.
In the second embodiment, the functions of the alcohol concentration information acquisition section 11, the estimation section 12a, the order information acquisition section 14, and the order analysis section 15 are realized by the processing circuit 1001. That is, the drinking state estimating device 1a includes a processing circuit 1001 for performing control to estimate the drinking state of the customer based on the alcohol concentration information acquired from the alcohol concentration detection sensor 5 and the order history.
The processing circuit 1001 executes the functions of the alcohol concentration information acquisition section 11, the estimation section 12a, the order information acquisition section 14, and the order analysis section 15 by reading and executing the program stored in the memory 1005. That is, when the drinking state estimating device 1a is executed by the processing circuit 1001, steps ST13 to ST15 in FIG. 18 and steps ST13a and ST16a to ST17a in FIG. A memory 1005 is provided for storing a program. It can also be said that the program stored in the memory 1005 causes the computer to execute the procedures or methods of the alcohol concentration information acquisition section 11, the estimation section 12a, the order information acquisition section 14, and the order analysis section 15.
The drinking state estimating device 1a also includes devices such as an alcohol concentration detection sensor 5 and an output device 42, as well as an input interface device 1002 and an output interface device 1003 that perform wired or wireless communication.
Further, the concentration information storage unit 13 includes an HDD (Hard Disk Drive), a memory 1005, a DVD, and the like.
　実施の形態２に係る生体情報通知装置２ｂ，２ｃのハードウェア構成の一例も、図１５Ａおよび図１５Ｂに示すとおりである。
　実施の形態２において、存否情報取得部２１と、割当部２２と、出力内容決定部２３,２３ａと、出力部２４の機能は、処理回路１００１により実現される。すなわち、生体情報通知装置２ｂ，２ｃは、飲酒状態推定装置１ａが推定した客の飲酒状態に基づく形態でキャラクターの表示制御を行うための処理回路１００１を備える。 An example of the hardware configuration of the biological information notification devices 2b and 2c according to the second embodiment is also as shown in FIGS. 15A and 15B.
In the second embodiment, the functions of the existence information acquisition section 21, the allocation section 22, the output content determination sections 23 and 23a, and the output section 24 are realized by the processing circuit 1001. That is, the biological information notification devices 2b and 2c include a processing circuit 1001 for controlling the display of characters based on the drinking state of the customer estimated by the drinking state estimation device 1a.
　プロセッサ１００４は、メモリ１００５に記憶されたプログラムを読み出して実行することにより、存否情報取得部２１と、割当部２２と、出力内容決定部２３，２３ａと、出力部２４の機能を実行する。すなわち、生体情報通知装置２ｂ，２ｃは、プロセッサ１００４により実行されるときに、上述の図１８のステップＳＴ１１～ステップＳＴ１２、ステップＳＴ１６、図２３のステップＳＴ１１ａ～ステップＳＴ１２ａ、ステップＳＴ１４ａ～ステップＳＴ１５ａ、ステップＳＴ１８ａが結果的に実行されることになるプログラムを格納するためのメモリ１００５を備える。また、メモリ１００５に記憶されたプログラムは、存否情報取得部２１と、割当部２２と、出力内容決定部２３，２３ａと、出力部２４の処理の手順または方法をコンピュータに実行させるものであるともいえる。 The processor 1004 executes the functions of the existence information acquisition section 21, the allocation section 22, the output content determination sections 23 and 23a, and the output section 24 by reading and executing the program stored in the memory 1005. That is, when the biological information notification devices 2b and 2c are executed by the processor 1004, the steps ST11 to ST12 and ST16 in FIG. 18, steps ST11a to ST12a, ST14a to ST15a, and The ST 18a includes a memory 1005 for storing a program that will eventually be executed. Furthermore, the program stored in the memory 1005 causes the computer to execute the processing procedures or methods of the presence/absence information acquisition unit 21, the allocation unit 22, the output content determination units 23, 23a, and the output unit 24. I can say that.
　また、生体情報通知装置２ｂ，２ｃは、アルコール濃度検知センサ５、出力装置４２等の装置と、有線通信または無線通信を行う入力インタフェース装置１００２および出力インタフェース装置１００３を備える。 Furthermore, the biological information notification devices 2b and 2c include devices such as an alcohol concentration detection sensor 5 and an output device 42, as well as an input interface device 1002 and an output interface device 1003 that perform wired or wireless communication.
　以上の実施の形態２では、飲酒状態推定装置１ａおよび生体情報通知装置２ｂ，２ｃは、タブレット端末１００ａに搭載されているものとしたが、これは一例に過ぎない。飲酒状態推定装置１ａおよび生体情報通知装置２ｂ，２ｃは、例えば、サーバ（図示省略）に搭載されてもよい。アルコール濃度情報取得部１１、推定部１２ａ、注文情報取得部１４、注文解析部１５、存否情報取得部２１、割当部２２、出力内容決定部２３，２３ａ、出力部２４のうちの一部または全部が、サーバに搭載されていてもよい。
　また、以上の実施の形態２では、飲酒状態推定装置１ａは、生体情報通知装置２ｂ，２ｃに備えられていたが、これは一例に過ぎない。飲酒状態推定装置１ａは、生体情報通知装置２ｂ，２ｃの外部に備えられ、生体情報通知装置２ｂ，２ｃとネットワークを介して接続されてもよい。 In the second embodiment described above, the drinking state estimation device 1a and the biological information notification devices 2b and 2c are installed in the tablet terminal 100a, but this is only an example. The drinking state estimation device 1a and the biological information notification devices 2b and 2c may be installed in, for example, a server (not shown). Some or all of the alcohol concentration information acquisition unit 11, the estimation unit 12a, the order information acquisition unit 14, the order analysis unit 15, the presence/absence information acquisition unit 21, the allocation unit 22, the output content determination units 23 and 23a, and the output unit 24 may be installed in the server.
Further, in the second embodiment described above, the drinking state estimation device 1a is provided in the biological information notification devices 2b and 2c, but this is only an example. The drinking state estimation device 1a may be provided outside the biometric information notification devices 2b, 2c, and may be connected to the biometric information notification devices 2b, 2c via a network.
　以上のように、実施の形態２によれば、飲酒状態推定装置１ａは、人（客）と接触する物体に設けられ人（客）に光を照射し反射させて受光した反射光に基づいて人（客）の血中アルコール濃度を計測するアルコール濃度検知センサ５から、人（客）の血中アルコール濃度を示すアルコール濃度情報を取得するアルコール濃度情報取得部１１と、アルコール濃度情報取得部１１が取得したアルコール濃度情報に基づいて、予測時間後の人（客）の酒酔い度を人の飲酒状態として推定する推定部１２ａと、人（客）の注文履歴に関する注文履歴情報を取得する注文情報取得部１４と、注文情報取得部１４が取得した注文履歴情報に基づき、注文内容を解析する注文解析部１５を備え、推定部１２ａは、アルコール濃度情報取得部１１が取得した、第１期間分の時系列のアルコール濃度情報と、注文解析部１５が解析した注文内容の解析結果とに基づき、予測時間後の人（客）の酒酔い度を推定するように構成した。そのため、飲酒状態推定装置１ａは、アルコールが提供される飲食店における人について、当該人が複数であっても、それぞれ、飲酒状態を推定できる。また、飲酒状態推定装置１ａは、時系列のアルコール濃度情報のみから予測時間後の客の酒酔い度を推定する場合と比べ、アルコールの注文頻度、１回の注文におけるアルコールの注文量、注文されたアルコールの度数、または、客の体内のアルコール分解速度等を考慮し、より現状に即した予測時間後の客の酒酔い度の推定を行うことができる。 As described above, according to the second embodiment, the drinking state estimating device 1a is installed on an object that comes into contact with a person (customer), and based on the reflected light received by illuminating the person (customer) with light, An alcohol concentration information acquisition unit 11 that acquires alcohol concentration information indicating the blood alcohol concentration of a person (customer) from an alcohol concentration detection sensor 5 that measures the blood alcohol concentration of the person (customer); an estimating unit 12a that estimates the degree of drunkenness of a person (customer) after a predicted time based on alcohol concentration information acquired by the person (customer) as the drinking state of the person; and an ordering unit that acquires order history information regarding the order history of the person (customer). The estimation unit 12a includes an information acquisition unit 14 and an order analysis unit 15 that analyzes the order contents based on the order history information acquired by the order information acquisition unit 14, and the estimation unit 12a includes the first period acquired by the alcohol concentration information acquisition unit 11. The system is configured to estimate the drunkenness level of the person (customer) after the predicted time based on time-series alcohol concentration information for minutes and the analysis result of the order contents analyzed by the order analysis section 15. Therefore, the drinking state estimating device 1a can estimate the drinking state of each person at a restaurant where alcohol is served, even if there are multiple people. In addition, the drinking state estimating device 1a is capable of estimating the alcohol order frequency, the amount of alcohol per order, and the amount of alcohol ordered, compared to the case where the drunkenness level of the customer after the predicted time is estimated from only time-series alcohol concentration information. By taking into account the degree of alcohol that has been used, the rate of alcohol decomposition in the customer's body, etc., it is possible to estimate the customer's degree of drunkenness after a predicted time that is more in line with the current situation.
実施の形態３．
　実施の形態２では、飲酒状態推定装置は、第１期間分の時系列のアルコール濃度情報と注文履歴とに基づいて、客の飲酒状態を推定していた。
　実施の形態３では、飲酒状態推定装置が、現在のアルコール濃度情報と、客の注文履歴とに基づいて、客の飲酒状態を推定する実施の形態について説明する。 Embodiment 3.
In the second embodiment, the drinking state estimating device estimates the drinking state of the customer based on the time-series alcohol concentration information and order history for the first period.
In Embodiment 3, an embodiment will be described in which a drinking state estimating device estimates a customer's drinking state based on current alcohol concentration information and the customer's order history.
　図２４は、実施の形態３に係る飲酒状態推定システム１０００ｂの構成例を示す図である。
　図２４に示す飲酒状態推定システム１０００ｂの構成例は、図１６を用いて説明した実施の形態２に係る飲酒状態推定システム１０００ａの構成例とは、飲酒状態推定装置１ｂの具体的な構成が異なる。 FIG. 24 is a diagram illustrating a configuration example of a drinking state estimation system 1000b according to the third embodiment.
The configuration example of the drinking state estimation system 1000b shown in FIG. 24 differs from the configuration example of the drinking state estimation system 1000a according to the second embodiment described using FIG. 16 in the specific configuration of the drinking state estimation device 1b. .
　図２５は、実施の形態３に係る飲酒状態推定装置１ｂを備えた生体情報通知装置２ｄの構成例を示す図である。
　生体情報通知装置２ｄは、例えば、タブレット端末１００ｂに搭載されている。実施の形態３におけるタブレット端末１００ｂは、実施の形態２におけるタブレット端末１００ａとは、搭載している生体情報通知装置が生体情報通知装置２ｄとなった点が異なり、その他は実施の形態２におけるタブレット端末１００ａと同様の構成例を有する。
　図２５に示す生体情報通知装置２ｄの構成例について、実施の形態２にて図１７を用いて説明した生体情報通知装置２ｂの構成例と同様の構成については、同じ符号を付して重複した説明を省略する。
　図２５に示す生体情報通知装置２ｄの構成例は、実施の形態２にて図１７を用いて説明した生体情報通知装置２ｂの構成例とは、飲酒状態推定装置１ｂの構成例が異なる。
　図２５に示す飲酒状態推定装置１ｂの構成例は、実施の形態２にて図１７を用いて説明した飲酒状態推定装置１ａの構成例とは、濃度情報記憶部１３を備えていない点が異なる。また、飲酒状態推定装置１ｂにおいて、推定部１２ｂの具体的な動作が、実施の形態２に係る飲酒状態推定装置１ａの推定部１２ａの具体的な動作とは異なる。 FIG. 25 is a diagram showing a configuration example of a biological information notification device 2d including a drinking state estimation device 1b according to the third embodiment.
The biological information notification device 2d is installed in, for example, the tablet terminal 100b. The tablet terminal 100b in Embodiment 3 differs from the tablet terminal 100a in Embodiment 2 in that the installed biometric information notification device is a biometric information notification device 2d, and the rest is the same as the tablet in Embodiment 2. It has a similar configuration example to the terminal 100a.
Regarding the configuration example of the biometric information notification device 2d shown in FIG. 25, the same components as the configuration example of the biometric information notification device 2b explained using FIG. The explanation will be omitted.
The configuration example of the biological information notification device 2d shown in FIG. 25 differs from the configuration example of the biological information notification device 2b described using FIG. 17 in the second embodiment in the configuration example of the drinking state estimation device 1b.
The configuration example of the drinking state estimation device 1b shown in FIG. 25 differs from the configuration example of the drinking state estimation device 1a described using FIG. 17 in the second embodiment in that it does not include the concentration information storage unit 13. . Further, in the drinking state estimating device 1b, the specific operation of the estimating section 12b is different from the specific operation of the estimating section 12a of the drinking state estimating device 1a according to the second embodiment.
　実施の形態２では、推定部１２ａは、予測時間後の客の酒酔い度を推定する際に用いるアルコール濃度情報を、第１期間分の時系列のアルコール濃度情報としていた。
　これに対し、実施の形態３では、推定部１２ｂは、予測時間後の客の酒酔い度を推定する際に用いるアルコール濃度情報を、現在のアルコール濃度情報とする。推定部１２ｂは、現在のアルコール濃度情報をアルコール濃度情報取得部１１から取得すればよく、濃度情報記憶部１３を参照する必要がない。ただし、実施の形態３では、推定部１２ｂは、予測時間後の客の酒酔い度を推定するのに、注文解析部１５による注文内容の解析結果を必須とする。詳細には、推定部１２ｂは、注文解析部１５による、客が注文したアルコールの量の解析結果を必須とする。
　推定部１２ｂは、アルコール濃度情報取得部１１が取得した、現在の客の血中アルコール濃度を示すアルコール濃度情報と注文解析部１５が解析した注文内容の解析結果とに基づき、客の飲酒状態、言い換えれば、予測時間後の客の酒酔い度を推定する。なお、推定部１２ｂは、客毎に予測時間後の酒酔い度を推定する。 In the second embodiment, the estimation unit 12a uses time-series alcohol concentration information for the first period as the alcohol concentration information used when estimating the degree of drunkenness of the customer after the predicted time.
In contrast, in Embodiment 3, the estimating unit 12b uses the current alcohol concentration information as the alcohol concentration information used when estimating the degree of drunkenness of the customer after the predicted time. The estimation unit 12b only needs to acquire the current alcohol concentration information from the alcohol concentration information acquisition unit 11 and does not need to refer to the concentration information storage unit 13. However, in the third embodiment, the estimation unit 12b requires the analysis result of the order content by the order analysis unit 15 in order to estimate the degree of drunkenness of the customer after the predicted time. Specifically, the estimation unit 12b requires the analysis result of the amount of alcohol ordered by the customer by the order analysis unit 15.
The estimating unit 12b determines the drinking state of the customer based on the alcohol concentration information indicating the current blood alcohol concentration of the customer acquired by the alcohol concentration information acquisition unit 11 and the analysis result of the order content analyzed by the order analysis unit 15. In other words, the degree of drunkenness of the customer after the predicted time is estimated. Note that the estimation unit 12b estimates the degree of drunkenness after the predicted time for each customer.
　実施の形態３に係る飲酒状態推定装置１ｂにおける、推定部１２ｂによる、予測時間後の客の酒酔い度の推定方法について、いくつか具体例を挙げて説明する。 A method for estimating the drunkenness level of the customer after the predicted time by the estimation unit 12b in the drinking state estimating device 1b according to the third embodiment will be described using some specific examples.
　例えば、推定部１２ｂは、アルコール濃度情報取得部１１から取得したアルコール濃度情報から、現在の客の血中アルコール濃度を判定する。そして、推定部１２ｂは、現在の客の血中アルコール濃度と注文されたアルコールの量とから、予測時間後の客の血中アルコール濃度の予測値を予測する。なお、どれぐらいの量のアルコールを摂取すれば、予測時間後にどれぐらい血中アルコール濃度が上昇するかは、予めわかっているものとする。例えば、推定部１２ｂは、血中アルコール濃度と摂取アルコール量を入力とし、予測時間後の血中アルコール濃度の予測値を出力する機械学習モデルに、判定した客の血中アルコール濃度と注文されたアルコールの量とを入力して、予測時間後の客の血中アルコール濃度の予測値を予測してもよい。
　なお、推定部１２ｂは、注文解析部１５から出力された解析結果から、客が注文したアルコールの量を判定できる。ここで、例えば、複数の客（例えば、第１の客Ａ、第２の客Ｂ、第３の客Ｃ、および、第４の客Ｄの４名）全員が一度にアルコールを注文すると、解析結果には、複数の客によって注文されたアルコールの量が含まれている。そこで、例えば、推定部１２ｂは、解析結果に含まれている注文されたアルコールの量を人数分で割って客１人当たりのアルコールの注文量を算出し、算出した注文量に基づいて予測時間後の客の血中アルコール濃度の予測値を予測してもよい。
　推定部１２ｂは、予測時間後の客の血中アルコール濃度の予測値を予測すると、当該予測値から、予測時間後の客の酒酔い度を推定する。推定部１２ｂは、例えば、予測値と酒酔い度推定用情報（図７参照）とから、予測時間後の客の酒酔い度を推定すればよい。推定部１２ｂは、酒酔い度推定用情報を保持している。
　推定部１２ｂは、推定した予測時間後の客の酒酔い度に関する酒酔い情報を、出力内容決定部２３に出力する。 For example, the estimation unit 12b determines the current blood alcohol concentration of the customer from the alcohol concentration information acquired from the alcohol concentration information acquisition unit 11. Then, the estimating unit 12b predicts a predicted value of the customer's blood alcohol concentration after the predicted time from the current blood alcohol concentration of the customer and the amount of alcohol ordered. Note that it is assumed that it is known in advance how much alcohol to ingest to increase the blood alcohol concentration after the predicted time. For example, the estimation unit 12b inputs the blood alcohol concentration and the amount of alcohol consumed, and uses a machine learning model that outputs a predicted value of the blood alcohol concentration after a prediction time to determine the customer's blood alcohol concentration and the ordered amount. The predicted value of the customer's blood alcohol concentration after the predicted time may be predicted by inputting the amount of alcohol.
Note that the estimation unit 12b can determine the amount of alcohol ordered by the customer from the analysis result output from the order analysis unit 15. Here, for example, if multiple customers (e.g., 4 customers, 1st customer A, 2nd customer B, 3rd customer C, and 4th customer D) all order alcohol at once, the analysis The results include the amount of alcohol ordered by multiple customers. Therefore, for example, the estimation unit 12b calculates the amount of alcohol ordered per customer by dividing the amount of alcohol ordered included in the analysis result by the number of people, and calculates the amount of alcohol ordered per customer based on the calculated order amount. The predicted value of the blood alcohol concentration of the customer may be predicted.
When estimating the predicted value of the customer's blood alcohol concentration after the predicted time, the estimation unit 12b estimates the degree of drunkenness of the customer after the predicted time from the predicted value. The estimation unit 12b may estimate the degree of drunkenness of the customer after the predicted time, for example, from the predicted value and the information for estimating the degree of drunkenness (see FIG. 7). The estimation unit 12b holds information for estimating the degree of drunkenness.
The estimating unit 12b outputs drunkenness information regarding the degree of drunkenness of the customer after the estimated predicted time to the output content determining unit 23.
　また、例えば、推定部１２ｂは、現在の客の血中アルコール濃度と注文されたアルコールの量とから予測時間後の客の血中アルコール濃度の予測値を予測すると、当該予測値について、第１期間におけるアルコールの注文頻度が増加傾向にある、または、１回の注文にて注文されたアルコールの量が増加した場合には、値を大きくした上で、予測時間後の客の酒酔い度を推定してもよい。
　この場合、注文解析部１５から出力される解析結果には、注文されたアルコールの量の情報に加え、第１期間におけるアルコールの注文頻度、または、第１期間において行われた注文毎の、アルコールの量の情報が含まれていればよい。
　なお、第１期間におけるアルコールの注文頻度が増加傾向にある場合、または、１回の注文にて注文されたアルコールの量が増加した場合に、血中アルコール濃度の予測値を大きくする方法については、実施の形態２において＜具体例１＞にて説明済みであるため、重複した説明を省略する。
　推定部１２ｂは、血中アルコール濃度のかさ上げ後予測値に基づき、予測時間後の客の酒酔い度を推定する。
　推定部１２ｂは、推定した予測時間後の客の酒酔い度に関する酒酔い情報を、出力内容決定部２３に出力する。
　これにより、推定部１２ｂは、より現状に即して予測時間後の客の酒酔い度を推定できる。その結果、飲酒状態推定装置１ｂは、生体情報通知装置２ｄに対して、客が過度のアルコール摂取状態に陥りそうになった場合に、これを早く警告させることができる。 For example, when the estimation unit 12b predicts the predicted value of the customer's blood alcohol concentration after the prediction time from the current blood alcohol concentration of the customer and the amount of alcohol ordered, the estimation unit 12b calculates the first If the frequency of alcohol orders during the period tends to increase, or if the amount of alcohol ordered in one order increases, increase the value and calculate the degree of drunkenness of the customer after the predicted time. It may be estimated.
In this case, the analysis results output from the order analysis unit 15 include, in addition to information on the amount of alcohol ordered, the frequency of alcohol orders in the first period, or the number of alcohol orders made in the first period. It suffices if it contains the same amount of information.
In addition, if the frequency of alcohol orders during the first period tends to increase, or if the amount of alcohol ordered in one order increases, how to increase the predicted value of blood alcohol concentration. , has already been explained in <Specific Example 1> in Embodiment 2, so a duplicate explanation will be omitted.
The estimation unit 12b estimates the degree of drunkenness of the customer after the predicted time based on the predicted value of the blood alcohol concentration after the increase.
The estimating unit 12b outputs drunkenness information regarding the degree of drunkenness of the customer after the estimated predicted time to the output content determining unit 23.
Thereby, the estimation unit 12b can estimate the degree of drunkenness of the customer after the predicted time more in accordance with the current situation. As a result, the drinking state estimating device 1b can quickly warn the biological information notifying device 2d if the customer is about to drink too much alcohol.
　また、上記例とは逆に、推定部１２ｂは、現在の客の血中アルコール濃度と注文されたアルコールの量とから予測時間後の客の血中アルコール濃度の予測値を予測すると、当該予測値について、第１期間におけるアルコールの注文頻度が減少傾向にある場合、または、１回の注文にて注文されたアルコールの量が減少した場合には、値を小さくした上で、予測時間後の客の酒酔い度を推定してもよい（実施の形態２の＜具体例２＞参照）。
　これにより、推定部１２ｂは、より現状に即して予測時間後の客の酒酔い度を推定できる。 Further, contrary to the above example, when the estimation unit 12b predicts the predicted value of the customer's blood alcohol concentration after the prediction time from the current blood alcohol concentration of the customer and the amount of alcohol ordered, the estimation unit 12b Regarding the value, if the frequency of alcohol orders in the first period tends to decrease, or if the amount of alcohol ordered in one order decreases, the value will be reduced and The degree of drunkenness of the customer may be estimated (see <Specific Example 2> of Embodiment 2).
Thereby, the estimation unit 12b can estimate the degree of drunkenness of the customer after the predicted time more in accordance with the current situation.
　また、例えば、推定部１２ｂは、現在の客の血中アルコール濃度と注文されたアルコールの量とから予測時間後の客の血中アルコール濃度の予測値を予測すると、当該予測値について、度数が第１度数判定用閾値以上であるアルコールが注文された場合には、値を大きくした上で、客の飲酒状態、言い換えれば、酒酔い度を推定してもよい。
　この場合、注文解析部１５から出力される解析結果には、注文されたアルコールの量の情報に加え、注文されたアルコールの度数の情報が含まれていればよい。
　なお、度数が第１度数判定用閾値以上であるアルコールが注文された場合に、血中アルコール濃度の予測値を大きくする方法については、実施の形態２において＜具体例３＞にて説明済みであるため、重複した説明を省略する。
　推定部１２ｂは、血中アルコール濃度のかさ上げ後予測値に基づき、予測時間後の客の酒酔い度を推定する。
　推定部１２ｂは、推定した予測時間後の客の酒酔い度に関する酒酔い情報を、出力内容決定部２３に出力する。
　これにより、推定部１２ｂは、より現状に即して客の酒酔い度を推定できる。その結果、飲酒状態推定装置１ｂは、生体情報通知装置２ｄに対して、客が過度のアルコール摂取状態に陥りそうになった場合に、これを早く警告させることができる。 Further, for example, when the estimation unit 12b predicts a predicted value of the customer's blood alcohol concentration after a prediction time based on the current blood alcohol concentration of the customer and the amount of alcohol ordered, the estimation unit 12b calculates the degree of alcohol consumption for the predicted value. If alcohol with a value equal to or higher than the first alcohol determination threshold is ordered, the value may be increased and the customer's drinking state, in other words, the degree of drunkenness, may be estimated.
In this case, the analysis result output from the order analysis unit 15 only needs to include information on the alcohol content ordered, in addition to information on the amount of alcohol ordered.
Note that the method for increasing the predicted value of blood alcohol concentration when alcohol whose alcohol content is equal to or higher than the first alcohol determination threshold is already explained in <Specific Example 3> in Embodiment 2. Therefore, duplicate explanations will be omitted.
The estimation unit 12b estimates the degree of drunkenness of the customer after the predicted time based on the predicted value of the blood alcohol concentration after the increase.
The estimation unit 12b outputs drunkenness information regarding the degree of drunkenness of the customer after the estimated predicted time to the output content determining unit 23.
Thereby, the estimation unit 12b can estimate the degree of drunkenness of the customer more in accordance with the current situation. As a result, the drinking state estimation device 1b can quickly warn the biological information notification device 2d if the customer is about to drink excessive alcohol.
　また、上記例とは逆に、推定部１２ｂは、現在の客の血中アルコール濃度と注文されたアルコールの量とから予測時間後の客の血中アルコール濃度の予測値を予測すると、当該予測値について、度数が第２度数判定用閾値未満であるアルコールが注文された場合には、値を小さくした上で、予測時間後の客の酒酔い度を推定してもよい（実施の形態２の＜具体例４＞参照）。
　これにより、推定部１２ｂは、より現状に即して予測時間後の客の酒酔い度を推定できる。 Further, contrary to the above example, when the estimation unit 12b predicts the predicted value of the customer's blood alcohol concentration after the prediction time from the current blood alcohol concentration of the customer and the amount of alcohol ordered, the estimation unit 12b Regarding the value, if alcohol whose alcohol content is less than the second alcohol content determination threshold is ordered, the value may be reduced and the customer's drunkenness level after the predicted time may be estimated (Embodiment 2). (See <Specific Example 4>).
Thereby, the estimation unit 12b can estimate the degree of drunkenness of the customer after the predicted time more in accordance with the current situation.
　実施の形態３に係る飲酒状態推定装置１ｂを備えた実施の形態２に係る生体情報通知装置２ｄの動作について説明する。
　図２６は、実施の形態３に係る飲酒状態推定装置１ｂを備えた実施の形態３に係る生体情報通知装置２ｄの動作について説明するためのフローチャートである。
　例えば、タブレット端末１００ｂの電源がオンにされると、飲酒状態推定装置１ｂおよび生体情報通知装置２ｄは、図２６のフローチャートで示すような動作を開始する。
　図２６のステップＳＴ１１１～ステップＳＴ１１３、ステップＳＴ１１６の具体的な動作は、それぞれ、実施の形態２にて説明済みの、図１８のステップＳＴ１１～ステップＳＴ１３、ステップＳＴ１６の具体的な動作と同様であるため、重複した説明を省略する。 The operation of the biological information notification device 2d according to the second embodiment, which includes the drinking state estimation device 1b according to the third embodiment, will be described.
FIG. 26 is a flowchart for explaining the operation of the biological information notification device 2d according to the third embodiment, which includes the drinking state estimation device 1b according to the third embodiment.
For example, when the power of the tablet terminal 100b is turned on, the drinking state estimation device 1b and the biological information notification device 2d start operations as shown in the flowchart of FIG. 26.
The specific operations of step ST111 to step ST113 and step ST116 in FIG. 26 are the same as the specific operations of step ST11 to step ST13 and step ST16 in FIG. 18, which have been explained in the second embodiment, respectively. Therefore, duplicate explanations will be omitted.
　飲酒状態推定装置１ｂのアルコール濃度情報取得部１１は、アルコール濃度検知センサ５から、飲食店内の客の血中アルコール濃度を示すアルコール濃度情報を取得する（ステップＳＴ１１４）。
　アルコール濃度情報取得部１１は、アルコール濃度検知センサ５からアルコール濃度情報の出力されるまで、ステップＳＴ１１４の処理を繰り返して待機する。図２６のフローチャートでは図示を省略しているが、図２６のフローチャートの動作が行われる間、並行して、生体情報通知装置２の受付部６１は注文を受け付け、発注部６２は注文履歴情報を生成し、当該注文履歴情報の取得日時と対応付けて、注文履歴記憶部６３に記憶させるとともに、アルコール濃度検知センサ５に対して濃度取得開始指示を出力する。
　アルコール濃度情報取得部１１は、取得したアルコール濃度情報を、推定部１２ｂに出力する。実施の形態３では、アルコール濃度情報取得部１１は、取得したアルコール濃度情報を記憶させることを必須としない。 The alcohol concentration information acquisition unit 11 of the drinking state estimating device 1b acquires alcohol concentration information indicating the blood alcohol concentration of the customer in the restaurant from the alcohol concentration detection sensor 5 (step ST114).
The alcohol concentration information acquisition unit 11 repeats the process of step ST114 and waits until alcohol concentration information is output from the alcohol concentration detection sensor 5. Although illustration is omitted in the flowchart of FIG. 26, while the operation of the flowchart of FIG. It is stored in the order history storage unit 63 in association with the acquisition date and time of the order history information, and outputs an instruction to start concentration acquisition to the alcohol concentration detection sensor 5.
The alcohol concentration information acquisition unit 11 outputs the acquired alcohol concentration information to the estimation unit 12b. In the third embodiment, the alcohol concentration information acquisition unit 11 does not necessarily store the acquired alcohol concentration information.
　飲酒状態推定装置１ｂの推定部１２ｂは、ステップＳＴ１１４にてアルコール濃度情報取得部１１が取得したアルコール濃度情報に基づいて、客の飲酒状態、言い換えれば、予測時間後の客の酒酔い度を推定する状態推定処理を行う（ステップＳＴ１１５）。 The estimation unit 12b of the drinking state estimation device 1b estimates the drinking state of the customer, in other words, the degree of drunkenness of the customer after the predicted time, based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit 11 in step ST114. A state estimation process is performed (step ST115).
　なお、ここでは、生体情報通知装置２ｄの動作について、図２６のステップＳＴ１１６の処理の後、ステップＳＴ１１３に戻り、以降の処理を繰り返すものとするが、これは一例に過ぎない。
　生体情報通知装置２ｄの動作は、例えば、図２６のステップＳＴ１１６の処理の後、ステップＳＴ１１１に戻るようにしてもよい。
　これにより、生体情報通知装置２ｄは、実施の形態２に係る生体情報通知装置２ｂ同様、客同士で席が入れ替わることによって箸５０１、言い換えれば、アルコール濃度検知センサ５の位置の変更があったとしても、当該変更にあわせて、表示させるキャラクターの位置が変更されるようにできる。生体情報通知装置２は、客に対して、自分の席の移動に伴って、自分の飲酒状態をあらわすキャラクターも移動したと思わせることができる。客は、自分の飲酒状態をあらわすキャラクターが変わることによる混乱を起こさずに済む。 Here, regarding the operation of the biometric information notification device 2d, after the process in step ST116 in FIG. 26, the process returns to step ST113 and the subsequent processes are repeated, but this is only an example.
The operation of the biological information notification device 2d may be such that, for example, after the processing in step ST116 in FIG. 26, the operation returns to step ST111.
As a result, the biometric information notifying device 2d, like the biometric information notifying device 2b according to the second embodiment, assumes that the position of the chopsticks 501, in other words, the position of the alcohol concentration detection sensor 5 has changed due to the change of seats between customers. Also, the position of the character to be displayed can be changed in accordance with the change. The biological information notification device 2 can make the customer think that the character representing his or her drinking status has also moved as the customer's seat has moved. Customers do not need to be confused by the change of characters representing their drinking status.
　また、図２６のフローチャートでは、ステップＳＴ１１３、ステップＳＴ１１４の順で処理が行われるものとしたが、これは一例に過ぎない。ステップＳＴ１１３の処理とステップＳＴ１１４の処理の順番は逆でもよいし、ステップＳＴ１１３の処理とステップＳＴ１１４の処理が並行して行われてもよい。 Furthermore, in the flowchart of FIG. 26, the processing is performed in the order of step ST113 and step ST114, but this is only an example. The order of the processing in step ST113 and the processing in step ST114 may be reversed, or the processing in step ST113 and the processing in step ST114 may be performed in parallel.
　図２７は、図２６のステップＳＴ１１５における、推定部１２ｂによる状態推定処理の詳細を説明するためのフローチャートである。 FIG. 27 is a flowchart for explaining details of the state estimation process by the estimator 12b in step ST115 of FIG. 26.
　推定部１２ｂは、図２６のステップＳＴ１１４にてアルコール濃度情報取得部１１が取得した、現在の客の血中アルコール濃度を示すアルコール濃度情報と、図２６のステップＳＴ１１３にて注文解析部１５が解析した注文内容の解析結果とに基づき、予測時間後の客の酒酔い度を推定する（ステップＳＴ１１５１）。 The estimation unit 12b analyzes the alcohol concentration information indicating the current customer's blood alcohol concentration, which was acquired by the alcohol concentration information acquisition unit 11 in step ST114 in FIG. 26, and the order analysis unit 15 in step ST113 in FIG. Based on the analysis result of the order contents, the degree of drunkenness of the customer after the predicted time is estimated (step ST1151).
　このように、実施の形態３に係る飲酒状態推定装置１ｂは、注文履歴情報に基づき注文内容を解析し、現在の客の血中アルコール濃度を示すアルコール濃度情報と注文内容の解析結果とに基づき、予測時間後の客の酒酔い度を推定する。
　これにより、飲酒状態推定装置１ｂは、時系列のアルコール濃度情報が蓄積されるのを待つことなく予測時間後の客の酒酔い度の推定を行うことができる。 In this way, the drinking state estimating device 1b according to the third embodiment analyzes the order content based on the order history information, and based on the alcohol concentration information indicating the current blood alcohol concentration of the customer and the analysis result of the order content. , to estimate the drunkenness level of the customer after the predicted time.
Thereby, the drinking state estimating device 1b can estimate the customer's drunkenness level after the predicted time without waiting for time-series alcohol concentration information to be accumulated.
　以上の実施の形態３において、生体情報通知装置２ｄの出力内容決定部２３は、アルコール濃度情報取得部１１が取得したアルコール濃度情報に基づき、現在の客の血中アルコール濃度が現濃度判定用閾値を超えていると判定した場合、飲酒状態推定装置１ｂの推定部１２ｂが推定した客の飲酒状態によらず客に対して近い将来過度のアルコール摂取状態に陥ることを警告すると決定し、客に対して近い将来過度のアルコール摂取状態に陥ることを警告する形態でキャラクターを表示させるための出力制御情報を生成することもできる。
　なお、この場合、出力内容決定部２３は、推定部１２ｂを介して、アルコール濃度情報取得部１１が取得したアルコール濃度情報を取得すればよい。
　なお、この場合の生体情報通知装置２ｄの構成例は、図２５で示した生体情報通知装置２ｄの構成例と同様である。
　この場合の生体情報通知装置２ｄの具体的な動作は、以上の実施の形態３にて図２６のフローチャートを用いて説明した生体情報通知装置２ｄの具体的な動作とは、図２６のステップＳＴ１１６の処理の詳細が異なる。
　この場合、生体情報通知装置２ｄは、図２６のステップＳＴ１１６において、実施の形態２にて図２１のフローチャートを用いて説明したような処理を行う。図２１のフローチャートで示す動作の詳細については、実施の形態２にて説明済みであるため、重複した説明を省略する。 In the third embodiment described above, the output content determination unit 23 of the biological information notification device 2d determines that the current blood alcohol concentration of the customer is the current concentration determination threshold based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit 11. If it is determined that the drinking state exceeds the drinking state, the estimating unit 12b of the drinking state estimating device 1b decides to warn the customer that he or she will be in a state of excessive alcohol consumption in the near future, regardless of the estimated drinking state of the customer. On the other hand, it is also possible to generate output control information for displaying a character in a form that warns the user of excessive alcohol intake in the near future.
In this case, the output content determining unit 23 may acquire the alcohol concentration information acquired by the alcohol concentration information acquiring unit 11 via the estimating unit 12b.
Note that the configuration example of the biometric information notification device 2d in this case is the same as the configuration example of the biometric information notification device 2d shown in FIG. 25.
The specific operation of the biometric information notification device 2d in this case is the same as the specific operation of the biometric information notification device 2d described in the third embodiment using the flowchart of FIG. The processing details are different.
In this case, the biological information notification device 2d performs the process described in the second embodiment using the flowchart of FIG. 21 in step ST116 of FIG. The details of the operation shown in the flowchart of FIG. 21 have already been explained in Embodiment 2, so redundant explanation will be omitted.
　このように、実施の形態３に係る生体情報通知装置２ｄにおいて、出力内容決定部２３は、実施の形態２に係る生体情報通知装置２ｂの出力内容決定部２３同様、現在の客の血中アルコール濃度が現濃度判定用閾値を超えていると判定した場合、飲酒状態推定装置１ａの推定部１２ａが推定した客の飲酒状態によらず、言い換えれば、注文履歴を考慮せず、客に対して近い将来過度のアルコール摂取状態に陥ることを警告するようにしてもよい。 As described above, in the biological information notification device 2d according to the third embodiment, the output content determination unit 23, like the output content determination unit 23 of the biological information notification device 2b according to the second embodiment, determines the blood alcohol content of the current customer. If it is determined that the concentration exceeds the current concentration determination threshold, the estimation unit 12a of the drinking state estimating device 1a determines whether the customer It may be possible to warn the user that he/she will be in a state of excessive alcohol consumption in the near future.
　また、以上の実施の形態３において、生体情報通知装置２ｄは、客の数に対して注文されたアルコールの量が多い場合、または、度数が高いアルコールが注文された場合、客に対して、過度のアルコール摂取への注意喚起を行うと決定し、客に対して過度のアルコール摂取への注意喚起を行う形態でキャラクターを表示させてもよい。
　図２８は、実施の形態３において、客の数に対して注文されたアルコールの量が多い場合、または、度数が高いアルコールが注文された場合、客に対して、過度のアルコール摂取への注意喚起を行う形態でキャラクターを表示させる機能を有する場合の、生体情報通知装置２ｅの構成例を示す図である。
　上記機能を有する場合、生体情報通知装置２ｅにおいて、出力内容決定部２３ａの具体的な動作が、図２５を用いて説明した生体情報通知装置２ｄの出力内容決定部２３の具体的な動作とは異なる。
　出力内容決定部２３ａの機能は、実施の形態２において説明済みの、生体情報通知装置２ｃが備える出力内容決定部２３ａ（図２２参照）の機能と同様であるため、重複した説明を省略する。
　実施の形態３において、生体情報通知装置を、図２８に示すような構成例を有する生体情報通知装置２ｅとした場合の、生体情報通知装置２ｅの動作は、実施の形態２において、図２３のフローチャートを用いて説明済みの、実施の形態２において図２２に示すような構成とした生体情報通知装置２ｃの動作と同様であるため、重複した説明を省略する。 In addition, in the third embodiment described above, the biometric information notification device 2d provides the following information to the customer when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered. It may be decided to warn customers against excessive alcohol consumption, and a character may be displayed in a form that warns customers against excessive alcohol consumption.
FIG. 28 shows that in Embodiment 3, when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered, customers are advised to be careful not to consume excessive alcohol. It is a figure which shows the example of a structure of the biometric information notification apparatus 2e in case it has the function of displaying a character in the form which carries out evocation.
When the above function is provided, the specific operation of the output content determining unit 23a in the biological information notification device 2e is different from the specific operation of the output content determining unit 23 of the biological information notification device 2d described using FIG. different.
The function of the output content determining unit 23a is the same as that of the output content determining unit 23a (see FIG. 22) included in the biological information notification device 2c, which has already been explained in the second embodiment, and therefore, a redundant explanation will be omitted.
In the third embodiment, when the biometric information notifying device 2e has a configuration example as shown in FIG. 28, the operation of the biometric information notifying device 2e in the second embodiment is as shown in FIG. Since the operation is the same as that of the biological information notification device 2c configured as shown in FIG. 22 in Embodiment 2, which has already been explained using the flowchart, a redundant explanation will be omitted.
　このように、実施の形態３において、生体情報通知装置２ｅは、客の数に対して注文されたアルコールの量が多い場合、または、度数が高いアルコールが注文された場合、客に対して、過度のアルコール摂取への注意喚起を行う形態でキャラクターを表示させてもよい。これにより、生体情報通知装置２ｄは、客の過度のアルコール摂取を未然に防ぐための支援を行うことができる。 In this way, in the third embodiment, the biometric information notification device 2e tells the customer when the amount of alcohol ordered is large relative to the number of customers, or when alcohol with a high alcohol content is ordered. The character may be displayed in a form that calls attention to excessive alcohol intake. Thereby, the biological information notification device 2d can provide support to prevent the customer from consuming excessive alcohol.
　実施の形態３に係る飲酒状態推定装置１ｂのハードウェア構成は、実施の形態１において図１５Ａおよび図１５Ｂを用いて説明した飲酒状態推定装置１のハードウェア構成と同様であるため、図示を省略する。
　実施の形態３において、アルコール濃度情報取得部１１と、推定部１２ｂと、注文情報取得部１４と、注文解析部１５の機能は、処理回路１００１により実現される。すなわち、飲酒状態推定装置１ｂは、アルコール濃度検知センサ５から取得したアルコール濃度情報と注文履歴とに基づき、客の飲酒状態を推定する制御を行うための処理回路１００１を備える。
　処理回路１００１は、メモリ１００５に記憶されたプログラムを読み出して実行することにより、アルコール濃度情報取得部１１と、推定部１２ｂと、注文情報取得部１４と、注文解析部１５の機能を実行する。すなわち、飲酒状態推定装置１ｂは、処理回路１００１により実行されるときに、上述の図２６のステップＳＴ１１３～ステップＳＴ１１５、図２３のステップＳＴ１３ａ、ステップＳＴ１６ａ～ステップＳＴ１７ａが結果的に実行されることになるプログラムを格納するためのメモリ１００５を備える。また、メモリ１００５に記憶されたプログラムは、アルコール濃度情報取得部１１と、推定部１２ｂと、注文情報取得部１４と、注文解析部１５の手順または方法をコンピュータに実行させるものであるともいえる。
　また、飲酒状態推定装置１ｂは、アルコール濃度検知センサ５、出力装置４２等の装置と、有線通信または無線通信を行う入力インタフェース装置１００２および出力インタフェース装置１００３を備える。 The hardware configuration of the drinking state estimating device 1b according to the third embodiment is the same as the hardware configuration of the drinking state estimating device 1 described using FIGS. 15A and 15B in the first embodiment, so illustration thereof is omitted. do.
In the third embodiment, the functions of the alcohol concentration information acquisition section 11, the estimation section 12b, the order information acquisition section 14, and the order analysis section 15 are realized by the processing circuit 1001. That is, the drinking state estimating device 1b includes a processing circuit 1001 for performing control to estimate the drinking state of the customer based on the alcohol concentration information acquired from the alcohol concentration detection sensor 5 and the order history.
The processing circuit 1001 executes the functions of the alcohol concentration information acquisition section 11, the estimation section 12b, the order information acquisition section 14, and the order analysis section 15 by reading and executing the program stored in the memory 1005. That is, when the drinking state estimating device 1b is executed by the processing circuit 1001, steps ST113 to ST115 in FIG. 26 and steps ST13a and ST16a to ST17a in FIG. 23 described above are executed as a result. A memory 1005 is provided for storing a program. It can also be said that the program stored in the memory 1005 causes the computer to execute the procedures or methods of the alcohol concentration information acquisition section 11, the estimation section 12b, the order information acquisition section 14, and the order analysis section 15.
The drinking state estimating device 1b also includes devices such as an alcohol concentration detection sensor 5 and an output device 42, as well as an input interface device 1002 and an output interface device 1003 that perform wired or wireless communication.
　実施の形態３に係る生体情報通知装置２ｄ，２ｅのハードウェア構成の一例も、図１５Ａおよび図１５Ｂに示すとおりである。
　実施の形態３において、存否情報取得部２１と、割当部２２と、出力内容決定部２３,２３ａと、出力部２４の機能は、処理回路１００１により実現される。すなわち、生体情報通知装置２ｄ，２ｅは、飲酒状態推定装置１ｂが推定した客の飲酒状態に基づく形態でキャラクターの表示制御を行うための処理回路１００１を備える。 An example of the hardware configuration of the biological information notification devices 2d and 2e according to the third embodiment is also as shown in FIGS. 15A and 15B.
In the third embodiment, the functions of the existence information acquisition section 21, the allocation section 22, the output content determination sections 23 and 23a, and the output section 24 are realized by the processing circuit 1001. That is, the biological information notification devices 2d and 2e include a processing circuit 1001 for controlling the display of characters based on the drinking state of the customer estimated by the drinking state estimation device 1b.
　プロセッサ１００４は、メモリ１００５に記憶されたプログラムを読み出して実行することにより、存否情報取得部２１と、割当部２２と、出力内容決定部２３，２３ａと、出力部２４の機能を実行する。すなわち、生体情報通知装置２ｄ，２ｅは、プロセッサ１００４により実行されるときに、上述の図２６のステップＳＴ１１１～ステップＳＴ１１２、ステップＳＴ１１６、図２３のステップＳＴ１１ａ～ステップＳＴ１２ａ、ステップＳＴ１４ａ～ステップＳＴ１５ａ、ステップＳＴ１８ａが結果的に実行されることになるプログラムを格納するためのメモリ１００５を備える。また、メモリ１００５に記憶されたプログラムは、存否情報取得部２１と、割当部２２と、出力内容決定部２３，２３ａと、出力部２４の処理の手順または方法をコンピュータに実行させるものであるともいえる。 The processor 1004 executes the functions of the existence information acquisition section 21, the allocation section 22, the output content determination sections 23 and 23a, and the output section 24 by reading and executing the program stored in the memory 1005. That is, when the biological information notification devices 2d and 2e are executed by the processor 1004, steps ST111 to ST112 and ST116 in FIG. 26, steps ST11a to ST12a, steps ST14a to ST15a, and steps in FIG. The ST 18a includes a memory 1005 for storing a program that will eventually be executed. Furthermore, the program stored in the memory 1005 causes the computer to execute the processing procedures or methods of the presence/absence information acquisition unit 21, the allocation unit 22, the output content determination units 23, 23a, and the output unit 24. I can say that.
　また、生体情報通知装置２ｄ，２ｅは、アルコール濃度検知センサ５、出力装置４２等の装置と、有線通信または無線通信を行う入力インタフェース装置１００２および出力インタフェース装置１００３を備える。 Furthermore, the biological information notification devices 2d and 2e include devices such as an alcohol concentration detection sensor 5 and an output device 42, and an input interface device 1002 and an output interface device 1003 that perform wired or wireless communication.
　なお、以上の実施の形態３では、飲酒状態推定装置１ｂおよび生体情報通知装置２ｄ，２ｅは、タブレット端末１００ｂに搭載されているものとしたが、これは一例に過ぎない。飲酒状態推定装置１ｂおよび生体情報通知装置２ｄ，２ｅは、例えば、サーバ（図示省略）に搭載されてもよい。アルコール濃度情報取得部１１、推定部１２ｂ、注文情報取得部１４、注文解析部１５、存否情報取得部２１、割当部２２、出力内容決定部２３，２３ａ、出力部２４のうちの一部または全部が、サーバに搭載されていてもよい。
　また、以上の実施の形態３では、飲酒状態推定装置１ｂは、生体情報通知装置２ｄ，２ｅに備えられていたが、これは一例に過ぎない。飲酒状態推定装置１ｂは、生体情報通知装置２ｄ，２ｅの外部に備えられ、生体情報通知装置２ｄ，２ｅとネットワークを介して接続されてもよい。 Note that in the third embodiment described above, the drinking state estimation device 1b and the biological information notification devices 2d and 2e are installed in the tablet terminal 100b, but this is only an example. The drinking state estimation device 1b and the biological information notification devices 2d and 2e may be installed in, for example, a server (not shown). Some or all of the alcohol concentration information acquisition unit 11, the estimation unit 12b, the order information acquisition unit 14, the order analysis unit 15, the existence information acquisition unit 21, the allocation unit 22, the output content determination units 23 and 23a, and the output unit 24 may be installed in the server.
Further, in the third embodiment described above, the drinking state estimation device 1b is provided in the biological information notification devices 2d and 2e, but this is only an example. The drinking state estimation device 1b may be provided outside the biometric information notification devices 2d, 2e, and may be connected to the biometric information notification devices 2d, 2e via a network.
　以上のように、実施の形態３によれば、飲酒状態推定装置１ｂは、人（客）と接触する物体に設けられ人（客）に光を照射し反射させて受光した反射光に基づいて人（客）の血中アルコール濃度を計測するアルコール濃度検知センサ５から、人（客）の血中アルコール濃度を示すアルコール濃度情報を取得するアルコール濃度情報取得部１１と、アルコール濃度情報取得部１１が取得したアルコール濃度情報に基づいて、予測時間後の人（客）の酒酔い度を人の飲酒状態として推定する推定部１２ｂと、人（客）の注文履歴に関する注文履歴情報を取得する注文情報取得部１４と、注文情報取得部１４が取得した注文履歴情報に基づき、注文内容を解析する注文解析部１５を備え、推定部１２ｂは、アルコール濃度情報取得部１１が取得した、現在の人（客）の血中アルコール濃度を示すアルコール濃度情報と、注文解析部１５が解析した注文内容の解析結果とに基づき、予測時間後の人（客）の酒酔い度を推定する。そのため、飲酒状態推定装置１ｂは、アルコールが提供される飲食店における人について、当該人が複数であっても、それぞれ、飲酒状態を推定できる。また、飲酒状態推定装置１ｂは、複数のアルコール濃度情報が取得されるまで待つことなく、予測時間後の客の酒酔い度の推定を行うことができる。 As described above, according to the third embodiment, the drinking state estimating device 1b is installed on an object that comes into contact with a person (customer), and based on the reflected light received by irradiating light onto the person (customer), An alcohol concentration information acquisition unit 11 that acquires alcohol concentration information indicating the blood alcohol concentration of a person (customer) from an alcohol concentration detection sensor 5 that measures the blood alcohol concentration of the person (customer); an estimator 12b that estimates the degree of drunkenness of a person (customer) after a predicted time based on the alcohol concentration information acquired by the person (customer) as the drinking state of the person; The estimation unit 12b includes an information acquisition unit 14 and an order analysis unit 15 that analyzes the order contents based on the order history information acquired by the order information acquisition unit 14, and the estimation unit 12b includes the current person information acquired by the alcohol concentration information acquisition unit 11. The degree of drunkenness of the person (customer) after the predicted time is estimated based on alcohol concentration information indicating the blood alcohol concentration of the person (customer) and the analysis result of the order content analyzed by the order analysis unit 15. Therefore, the drinking state estimating device 1b can estimate the drinking state of each person at a restaurant where alcohol is served, even if there are multiple people. Furthermore, the drinking state estimating device 1b can estimate the drunkenness level of the customer after the predicted time without waiting until a plurality of pieces of alcohol concentration information are acquired.
　以上の実施の形態１～３では、アルコール濃度検知センサ５は、箸５０１に設けられるものとしたが、アルコール濃度検知センサ５は、スプーン、フォーク、または、ナイフ等の食事用器具５００全般に設けられてもよい。
　また、以上の実施の形態１～３では、アルコール濃度検知センサ５は食事用器具５００に設けられるものとしたが、これは一例に過ぎず、アルコール濃度検知センサ５は、食事用器具５００以外のものに設けられてもよい。
　例えば、アルコール濃度検知センサ５は、飲食店にて客が座る椅子、または、客が食事をする机に設けられてもよい。アルコール濃度検知センサ５は、客の肌が触れる位置に設けられる。
　図２９は、アルコール濃度検知センサ５が設けられている椅子７００の一例について説明するための図である。
　図２９に示す椅子７００は、座面および背もたれにアルコール濃度検知センサ５が設けられている。
　この場合、飲酒状態推定システム１０００，１０００ａ，１０００ｂは、同じ椅子７００の、座面に設けられているアルコール濃度検知センサ５と背もたれに設けられているアルコール濃度検知センサ５を、１対のアルコール濃度検知センサ５とする。
　なお、図２９に示した椅子７００は一例に過ぎず、アルコール濃度検知センサ５は、例えば、座面のみ、または、背もたれのみに設けられてもよい。 In the first to third embodiments described above, the alcohol concentration detection sensor 5 is provided on the chopsticks 501, but the alcohol concentration detection sensor 5 is provided on all eating utensils 500 such as spoons, forks, or knives. It's okay to be hit.
Further, in the first to third embodiments described above, the alcohol concentration detection sensor 5 is provided in the eating utensil 500, but this is only an example, and the alcohol concentration detection sensor 5 is installed in the eating utensil 500. It may be installed on something.
For example, the alcohol concentration detection sensor 5 may be provided on a chair where a customer sits at a restaurant or a desk where a customer eats. The alcohol concentration detection sensor 5 is provided at a position where it touches the customer's skin.
FIG. 29 is a diagram for explaining an example of a chair 700 in which the alcohol concentration detection sensor 5 is provided.
A chair 700 shown in FIG. 29 is provided with alcohol concentration detection sensors 5 on the seat and backrest.
In this case, the drinking state estimation systems 1000, 1000a, and 1000b detect the alcohol concentration detection sensor 5 provided on the seat surface and the alcohol concentration detection sensor 5 provided on the backrest of the same chair 700. Let it be the detection sensor 5.
Note that the chair 700 shown in FIG. 29 is only an example, and the alcohol concentration detection sensor 5 may be provided only on the seat surface or only on the backrest, for example.
　また、以上の実施の形態１～３において、アルコール濃度検知センサ５は、例えば、ウェアラブル端末に設けられてもよい。
　図３０は、アルコール濃度検知センサ５が設けられているウェアラブル端末８００の一例について説明するための図である。
　ウェアラブル端末８００は、手首に装着することで心拍数等の様々なアクティビティを計測可能な、いわゆるスマートバンドのようなものを想定している。図３０に示すウェアラブル端末８００は、一例として、スマートウォッチタイプのウェアラブル端末としている。
　アルコール濃度検知センサ５は、例えば、ウェアラブル端末８００のベルトの裏に設けられる。
　ウェアラブル端末８００は、例えば、客が入店した際に、当該客に、店員によって渡される。ウェアラブル端末８００は、例えば、靴箱の鍵と一体化されていてもよい。この場合、アルコール濃度検知センサ５は、例えば、靴箱からワイヤレス充電可能、または、ウェアラブル端末８００が鍵穴に差し込まれた際に充電可能とできる。 Further, in the first to third embodiments described above, the alcohol concentration detection sensor 5 may be provided in a wearable terminal, for example.
FIG. 30 is a diagram for explaining an example of a wearable terminal 800 in which the alcohol concentration detection sensor 5 is provided.
The wearable terminal 800 is assumed to be something like a so-called smart band that can measure various activities such as heart rate by being worn on the wrist. The wearable terminal 800 shown in FIG. 30 is, for example, a smart watch type wearable terminal.
The alcohol concentration detection sensor 5 is provided, for example, on the back of the belt of the wearable terminal 800.
For example, wearable terminal 800 is handed to a customer by a store clerk when the customer enters the store. Wearable terminal 800 may be integrated with a shoe box key, for example. In this case, the alcohol concentration detection sensor 5 can be charged wirelessly from a shoe box, or when the wearable terminal 800 is inserted into a keyhole.
　また、以上の実施の形態１～３において、飲酒状態推定装置１，１ａ，１ｂは、予測時間後の客の飲酒状態、言い換えれば、酒酔い度を、アルコール濃度情報から、または、アルコール濃度情報と注文履歴情報とから、推定していたが、これは一例に過ぎない。
　飲酒状態推定装置１，１ａ，１ｂは、アルコール濃度情報に加え、客の汗の量、におい、脈拍、温度、または、呼吸数を考慮して、予測時間後の客の酒酔い度を推定してもよいし、アルコール濃度情報と注文履歴情報に加え、客の汗の量、におい、脈拍、温度、または、呼吸数を考慮して、予測時間後の客の酒酔い度を推定してもよい。なお、飲酒状態推定装置１，１ａ，１ｂは、客の汗の量、におい、脈拍、温度、または、呼吸数に関する情報を、例えば、生体センサ（図示省略）またはウェアラブル端末８００から取得すればよい。生体センサは、例えば、食事用器具５００、椅子７００、机等に搭載される。 In the first to third embodiments described above, the drinking state estimating devices 1, 1a, and 1b calculate the drinking state of the customer after the predicted time, in other words, the degree of drunkenness, from the alcohol concentration information or from the alcohol concentration information. This was estimated based on the order history information, but this is just an example.
The drinking state estimating devices 1, 1a, and 1b estimate the customer's degree of drunkenness after a predicted time by considering the customer's sweat amount, odor, pulse, temperature, or breathing rate in addition to alcohol concentration information. Alternatively, in addition to alcohol concentration information and order history information, the customer's level of intoxication after the predicted time can be estimated by considering the customer's sweat amount, odor, pulse, temperature, or breathing rate. good. Note that the drinking state estimation devices 1, 1a, and 1b may obtain information regarding the amount of sweat, odor, pulse, temperature, or breathing rate of the customer from, for example, a biosensor (not shown) or the wearable terminal 800. . The biosensor is mounted on, for example, the eating utensil 500, the chair 700, the desk, and the like.
　また、以上の実施の形態１～３において、生体情報通知装置２，２ａ，２ｂ，２ｃ，２ｄ，２ｅは、客に対応するキャラクターを変更可能としてもよい。
　例えば、生体情報通知装置２，２ａ，２ｂ，２ｃ，２ｄ，２ｅにおいて割当部２２が客毎にキャラクターを割り当てると、出力内容決定部２３，２３ａは、割り当てられたキャラクターを、出力部２４を介して出力装置４１に表示させる。
　客は、出力装置４１を確認し、キャラクターを変更したい場合は、タッチパネル式ディスプレイである出力装置４１を操作して、キャラクターの変更指示を入力する。割当部２２は、キャラクターの変更指示を受け付けると、別のキャラクターを割り当てるよう、キャラクターを再度割り当てる。
　例えば、割当部２２は、キャラクターを割り当てた際に、その他のキャラクター候補の情報を、割当情報とともに出力内容決定部２３，２３ａに出力し、出力内容決定部２３，２３ａは、割り当てられたキャラクターとその他のキャラクター候補を、出力部２４を介して出力装置４１に表示させてもよい。そして、客は、出力装置４１を操作して、キャラクターの変更指示を入力する際、キャラクター候補の中から好きなキャラクターを選択してもよい。割当部２２は、キャラクターの変更指示を受け付けると、選択されたキャラクター候補を、割り当てるようにする。 Furthermore, in the first to third embodiments described above, the biometric information notification devices 2, 2a, 2b, 2c, 2d, and 2e may be able to change the character corresponding to the customer.
For example, when the assignment unit 22 assigns a character to each customer in the biometric information notification devices 2, 2a, 2b, 2c, 2d, and 2e, the output content determination units 23, 23a output the assigned characters via the output unit 24. and display it on the output device 41.
The customer checks the output device 41, and if he/she wishes to change the character, operates the output device 41, which is a touch panel display, and inputs an instruction to change the character. When the assignment unit 22 receives a character change instruction, it reassigns the character to another character.
For example, when assigning a character, the assignment unit 22 outputs information on other character candidates together with the assignment information to the output content determination units 23, 23a, and the output content determination units 23, 23a Other character candidates may be displayed on the output device 41 via the output unit 24. When the customer inputs a character change instruction by operating the output device 41, the customer may select a favorite character from among the character candidates. When the assignment unit 22 receives the character change instruction, it assigns the selected character candidate.
　また、以上の実施の形態１～３では、発注部６２は、受付部６１が注文を受け付けると、アルコール濃度検知センサ５に対して濃度取得開始指示を出力していた。しかし、これは一例に過ぎず、発注部６２は、例えば、受付部６１が受け付けた注文の中にアルコールが含まれているか否かを判定し、アルコールが含まれていると判定した場合に、アルコール濃度検知センサ５に対する濃度取得開始指示を出力してもよい。
　すなわち、発注部６２は、受付部６１が受け付けた注文の中にアルコールが含まれていない場合は、アルコール濃度検知センサ５に対する濃度取得開始指示を出力しないようにしてもよい。 Further, in the first to third embodiments described above, when the reception unit 61 receives an order, the ordering unit 62 outputs a concentration acquisition start instruction to the alcohol concentration detection sensor 5. However, this is just an example; for example, the ordering unit 62 determines whether or not the order received by the receiving unit 61 contains alcohol, and if it is determined that the order contains alcohol, A concentration acquisition start instruction may be output to the alcohol concentration detection sensor 5.
That is, if the order received by the reception unit 61 does not include alcohol, the ordering unit 62 may not output the concentration acquisition start instruction to the alcohol concentration detection sensor 5.
　また、以上の実施の形態１～３では、発注部６２がアルコール濃度検知センサ５に対して濃度取得開始指示を出力すると、アルコール濃度検知センサ５は客の血中アルコール濃度を計測するようにしていた。これは、注文時にアルコール濃度検知センサ５が客の血中アルコール濃度を計測可能な状態にあることを前提としている。例えば、アルコール濃度検知センサ５が箸５０１に設けられている場合、注文時に客が箸５０１を持っていることを前提としている。しかし、注文時に客が箸５０１を持っていないことも考えられる。
　そこで、以上の実施の形態１～３において、アルコール濃度検知センサ５は、客の接触を検知すると、これに反応して客の血中アルコール濃度を計測するようにしてもよい。 Further, in the first to third embodiments described above, when the ordering unit 62 outputs an instruction to start obtaining concentration to the alcohol concentration detection sensor 5, the alcohol concentration detection sensor 5 measures the blood alcohol concentration of the customer. Ta. This assumes that the alcohol concentration detection sensor 5 is in a state where it can measure the customer's blood alcohol concentration at the time of ordering. For example, if the alcohol concentration detection sensor 5 is provided on the chopsticks 501, it is assumed that the customer is holding the chopsticks 501 when ordering. However, it is also possible that the customer does not have chopsticks 501 when ordering.
Therefore, in the first to third embodiments described above, when the alcohol concentration detection sensor 5 detects contact with the customer, it may be configured to measure the blood alcohol concentration of the customer in response.
　また、以上の実施の形態１～３では、生体情報通知装置２，２ａ，２ｂ，２ｃ，２ｄ，２ｅにおいて、出力内容決定部２３，２３ａは、予測時間後の客の酒酔い度が飲酒判定用閾値以上であると判定した場合、客に対して、近い将来過度のアルコール摂取状態に陥ることを警告すると決定していた。これに限らず、出力内容決定部２３，２３ａは、例えば、客の予測時間後の血中アルコール濃度の予測値が予め設定された閾値（以下「予測値判定用閾値」という。）以上である場合に、客に対して、近い将来過度のアルコール摂取状態に陥ることを警告すると決定してもよい。なお、予測値判定用閾値には、例えば、０．１６～０．３０が設定される。
　出力内容決定部２３，２３ａは、血中アルコール濃度の予測値と予測値判定用閾値との比較によって客に対して近い将来過度のアルコール摂取状態に陥ることを警告するか否かを決定するほうが、酒酔い度と飲酒判定用閾値との比較によって客に対して近い将来過度のアルコール摂取状態に陥ることを警告するか否かを決定するよりも、より細かく警告有無の決定ができる。 Further, in the first to third embodiments described above, in the biological information notification devices 2, 2a, 2b, 2c, 2d, and 2e, the output content determination units 23 and 23a determine whether the customer's degree of drunkenness after the predicted time is determined to be If it is determined that the alcohol consumption level is above the alcohol threshold, the customer will be warned that they will be in a state of excessive alcohol consumption in the near future. However, the output content determination units 23 and 23a are not limited to this, for example, if the predicted value of the customer's blood alcohol concentration after the predicted time is greater than or equal to a preset threshold (hereinafter referred to as "predicted value determination threshold"). In some cases, it may be decided to warn the customer that he or she will be in a state of excessive alcohol consumption in the near future. Note that the predicted value determination threshold is set to, for example, 0.16 to 0.30.
It is preferable that the output content determining units 23 and 23a determine whether or not to warn the customer that he/she will be in a state of excessive alcohol intake in the near future by comparing the predicted value of the blood alcohol concentration with the predicted value judgment threshold. , it is possible to determine whether or not to issue a warning in more detail than by comparing the degree of drunkenness with a threshold for determining alcohol consumption to determine whether or not to warn the customer that he or she will be in a state of excessive alcohol consumption in the near future.
　また、以上の実施の形態１～３において、出力内容決定部２３，２３ａが生成する出力制御情報は、キャラクターを表示させるとともに、音声出力させるための情報としてもよい。この場合、出力内容決定部２３，２３ａは、出力部２４を介して出力装置４１，４２に出力することで、キャラクターを、決定した出力内容に応じた形態で表示させるとともに、警告音または警告メッセージ等の音声を出力させることができる。出力装置４１，４２は、スピーカ等の音声出力装置を含む。 Furthermore, in the first to third embodiments described above, the output control information generated by the output content determination units 23 and 23a may be information for displaying a character and outputting a voice. In this case, the output content determining units 23 and 23a display the character in a form corresponding to the determined output content by outputting the output to the output devices 41 and 42 via the output unit 24, and also display a warning sound or a warning message. etc. can be output. The output devices 41 and 42 include audio output devices such as speakers.
　また、以上の実施の形態１および実施の形態２では、推定部１２，１２ａは、第１期間分の時系列のアルコール濃度情報に基づき、予測時間後の客の酒酔い度を推定する。推定部１２，１２ａは、第１期間分のアルコール濃度情報が濃度情報記憶部１３に記憶されるまでは、待機していた。これに限らず、以上の実施の形態１または実施の形態２において、推定部１２または推定部１２ａは、濃度情報記憶部１３に過去のアルコール濃度情報が記憶されていない場合は、現在のアルコール濃度情報と注文履歴から予測時間後の客の酒酔い度を推定するようにしてもよい。なお、この場合、実施の形態１において、飲酒状態推定装置１は注文情報取得部１４および注文解析部１５の機能を有するようにする。現在のアルコール濃度情報と注文履歴とから予測時間後の客の酒酔い度を推定する方法例については、実施の形態３にて説明済みであるため、詳細な説明は省略する。 Furthermore, in the first and second embodiments described above, the estimation units 12 and 12a estimate the degree of drunkenness of the customer after the predicted time based on the time-series alcohol concentration information for the first period. The estimation units 12 and 12a were on standby until the alcohol concentration information for the first period was stored in the concentration information storage unit 13. Not limited to this, in the first embodiment or the second embodiment described above, if past alcohol concentration information is not stored in the concentration information storage section 13, the estimating section 12 or the estimating section 12a calculates the current alcohol concentration. The degree of drunkenness of the customer after the predicted time may be estimated from the information and the order history. In this case, in the first embodiment, the drinking state estimation device 1 is configured to have the functions of the order information acquisition section 14 and the order analysis section 15. An example of a method for estimating the degree of drunkenness of a customer after a predicted time based on current alcohol concentration information and order history has already been explained in Embodiment 3, so a detailed explanation will be omitted.
　また、以上の実施の形態１～３では、客は４名としたが、これは一例に過ぎず、客の人数は４名に限定されない。 Furthermore, in the first to third embodiments described above, the number of customers is four, but this is only an example, and the number of customers is not limited to four.
　なお、各実施の形態の自由な組み合わせ、あるいは各実施の形態の任意の構成要素の変形、もしくは各実施の形態において任意の構成要素の省略が可能である。 Note that it is possible to freely combine each embodiment, to modify any component of each embodiment, or to omit any component in each embodiment.
　本開示に係る飲酒状態推定装置は、アルコールが提供される飲食店における人について、当該人が複数であっても、それぞれ、飲酒状態を推定できる。 The drinking state estimating device according to the present disclosure can estimate the drinking state of each person at a restaurant where alcohol is served, even if there are multiple people.
　１，１ａ，１ｂ　飲酒状態推定装置、１１　アルコール濃度情報取得部、１２，１２ａ，１２ｂ　推定部、１３　濃度情報記憶部、１４　注文情報取得部、１５　注文解析部、２，２ａ，２ｂ，２ｃ，２ｄ，２ｅ　生体情報通知装置、２１　存否情報取得部、２２　割当部、２３，２３ａ　出力内容決定部、２４　出力部、２５　注文情報取得部、２６　注文解析部、３　着座検知センサ、６１　受付部、６２　発注部、６３　注文履歴記憶部、４１，４２　出力装置、５００　食事用器具、５０１　箸、５　アルコール濃度検知センサ、１００，１００ａ，１００ｂ　タブレット端末、１０００，１０００ａ，１０００ｂ　飲酒状態推定システム、１００１　処理回路、１００２　入力インタフェース装置、１００３　出力インタフェース装置、１００４　プロセッサ、１００５　メモリ、７００　椅子、８００　ウェアラブル端末。 1, 1a, 1b drinking state estimation device, 11 alcohol concentration information acquisition unit, 12, 12a, 12b estimation unit, 13 concentration information storage unit, 14 order information acquisition unit, 15 order analysis unit, 2, 2a, 2b, 2c, 2d, 2e biological information notification device, 21 existence information acquisition unit, 22 allocation unit, 23, 23a output content determination unit, 24 output unit, 25 order information acquisition unit, 26 order analysis unit, 3 seating detection sensor, 61 reception unit, 62 ordering unit, 63 order history storage unit, 41, 42 output device, 500 eating utensils, 501 chopsticks, 5 alcohol concentration detection sensor, 100, 100a, 100b tablet terminal, 1000, 1000a, 1000b drinking state estimation system, 1001 processing Circuit, 1002 Input interface device, 1003 Output interface device, 1004 Processor, 1005 Memory, 700 Chair, 800 Wearable terminal.

Claims (22)

  1. 　アルコールが提供される飲食店における人の飲酒状態を推定する飲酒状態推定装置であって、
    　前記人と接触する物体に設けられ前記人に光を照射し反射させて受光した反射光に基づいて前記人の血中アルコール濃度を計測するアルコール濃度検知センサから、前記人の前記血中アルコール濃度を示すアルコール濃度情報を取得するアルコール濃度情報取得部と、
    　前記アルコール濃度情報取得部が取得した前記アルコール濃度情報に基づいて、前記予測時間後の前記人の酒酔い度を前記人の前記飲酒状態として推定する推定部
    　とを備えた飲酒状態推定装置。     A drinking state estimation device for estimating a person's drinking state at a restaurant where alcohol is served,
    The blood alcohol concentration of the person is detected from an alcohol concentration detection sensor that is installed on an object that comes into contact with the person and measures the blood alcohol concentration of the person based on the reflected light that is received by irradiating light onto the person. an alcohol concentration information acquisition unit that acquires alcohol concentration information indicating the
    A drinking state estimating device comprising: an estimating section that estimates the drunkenness level of the person after the predicted time as the drinking state of the person based on the alcohol concentration information acquired by the alcohol concentration information acquiring section.
  2. 　前記推定部は、
    　前記アルコール濃度情報取得部が取得した、第１期間分の時系列の前記アルコール濃度情報に基づき、前記第１期間における前記人の前記血中アルコール濃度の上昇具合いから、前記予測時間後の前記人の前記酒酔い度を推定する
    　ことを特徴とする請求項１記載の飲酒状態推定装置。     The estimation unit is
    Based on the time-series alcohol concentration information for the first period acquired by the alcohol concentration information acquisition unit, the person after the predicted time is determined based on the degree of increase in the blood alcohol concentration of the person during the first period. The drinking state estimating device according to claim 1, wherein the drunkenness level is estimated.
  3. 　前記人の注文履歴に関する注文履歴情報を取得する注文情報取得部と
    　前記注文情報取得部が取得した前記注文履歴情報に基づき、注文内容を解析する注文解析部を備え、
    　前記推定部は、前記アルコール濃度情報取得部が取得した、第１期間分の時系列の前記アルコール濃度情報と、前記注文解析部が解析した前記注文内容の解析結果とに基づき、前記予測時間後の前記人の前記酒酔い度を推定する
    　ことを特徴とする請求項１記載の飲酒状態推定装置。     an order information acquisition unit that acquires order history information regarding the order history of the person; and an order analysis unit that analyzes order details based on the order history information acquired by the order information acquisition unit,
    The estimating unit is configured to estimate the estimated time after the predicted time based on the time-series alcohol concentration information for a first period acquired by the alcohol concentration information acquisition unit and the analysis result of the order content analyzed by the order analysis unit. The drinking state estimating device according to claim 1, further comprising: estimating the drunkenness level of the person.
  4. 　前記注文内容の前記解析結果は、前記第１期間における前記アルコールの注文頻度、または、前記第１期間において行われた注文毎の前記アルコールの量の情報を含み、
    　前記推定部は、前記第１期間分の時系列の前記アルコール濃度情報に基づき前記予測時間後の前記人の前記血中アルコール濃度の予測値を予測し、前記第１期間における前記アルコールの前記注文頻度が増加傾向にある、または、１回の注文にて注文された前記アルコールの量が増加した場合は前記血中アルコール濃度の前記予測値を大きくして、大きくした後の前記予測値に基づき前記予測時間後の前記人の前記酒酔い度を推定し、前記第１期間における前記アルコールの前記注文頻度が減少傾向にある、または、前記１回の注文にて注文された前記アルコールの量が減少した場合は前記血中アルコール濃度の前記予測値を小さくして、小さくした後の前記予測値に基づき前記予測時間後の前記人の前記酒酔い度を推定する
    　ことを特徴とする請求項３記載の飲酒状態推定装置。     The analysis result of the order contents includes information on the order frequency of the alcohol in the first period or the amount of the alcohol for each order made in the first period,
    The estimating unit predicts a predicted value of the blood alcohol concentration of the person after the predicted time based on the time-series alcohol concentration information for the first period, and calculates the order of the alcohol in the first period. If the frequency tends to increase or the amount of alcohol ordered in one order increases, the predicted value of the blood alcohol concentration is increased, and based on the increased predicted value. The degree of drunkenness of the person after the predicted time is estimated, and the order frequency of the alcohol in the first period is on a decreasing trend, or the amount of the alcohol ordered in one order is If the predicted value of the blood alcohol concentration has decreased, the predicted value of the blood alcohol concentration is reduced, and the drunkenness degree of the person after the predicted time is estimated based on the reduced predicted value. The drinking state estimation device described.
  5. 　前記注文内容の前記解析結果は、前記第１期間において注文された前記アルコールの度数の情報を含み、
    　前記推定部は、前記第１期間分の時系列の前記アルコール濃度情報に基づき、前記予測時間後の前記人の前記血中アルコール濃度の予測値を予測し、度数が第１度数判定用閾値以上である前記アルコールが注文された場合は前記血中アルコール濃度の前記予測値を大きくして、大きくした後の前記予測値に基づき前記予測時間後の前記人の前記酒酔い度を推定し、度数が第２度数判定用閾値未満である前記アルコールが注文された場合は前記血中アルコール濃度の前記予測値を小さくして、小さくした後の前記予測値に基づき前記予測時間後の前記人の前記酒酔い度を推定する
    　ことを特徴とする請求項３記載の飲酒状態推定装置。     The analysis result of the order contents includes information on the alcohol content ordered in the first period,
    The estimating unit predicts a predicted value of the blood alcohol concentration of the person after the predicted time based on the time-series alcohol concentration information for the first period, and the estimation unit predicts a predicted value of the blood alcohol concentration of the person after the predicted time, and the alcohol concentration is equal to or higher than a first alcohol concentration threshold. If the alcohol is ordered, increase the predicted value of the blood alcohol concentration, estimate the drunkenness degree of the person after the predicted time based on the increased predicted value, and estimate the drunkenness level of the person after the predicted time. is less than the second threshold for alcohol determination, the predicted value of the blood alcohol concentration is reduced, and based on the reduced predicted value, the blood alcohol concentration of the person after the predicted time is The drinking state estimating device according to claim 3, characterized in that the device estimates a degree of drunkenness.
  6. 　前記注文内容の前記解析結果は、注文された前記アルコールの総量の情報を含み、
    　前記推定部は、前記第１期間分の時系列の前記アルコール濃度情報に基づき、前記予測時間後の前記人の前記血中アルコール濃度の予測値を予測し、前記第１期間において注文された前記アルコールの総量に対する前記第１期間における前記血中アルコール濃度の上昇具合いが基準値以上である場合は前記血中アルコール濃度の前記予測値を大きくして、大きくした後の前記予測値に基づき前記予測時間後の前記人の前記酒酔い度を推定し、前記第１期間において注文された前記アルコールの総量に対する前記第１期間における前記血中アルコール濃度の上昇具合いが前記基準値未満である場合は前記血中アルコール濃度の前記予測値を小さくして、小さくした後の前記予測値に基づき前記予測時間後の前記人の前記酒酔い度を推定する
    　ことを特徴とする請求項３記載の飲酒状態推定装置。     The analysis result of the order contents includes information on the total amount of the alcohol ordered,
    The estimating unit predicts a predicted value of the blood alcohol concentration of the person after the predicted time based on the time-series alcohol concentration information for the first period, and predicts the predicted value of the blood alcohol concentration of the person after the predicted time, and If the degree of increase in the blood alcohol concentration in the first period relative to the total amount of alcohol is greater than or equal to a reference value, the predicted value of the blood alcohol concentration is increased, and the prediction is made based on the increased predicted value. The degree of drunkenness of the person after a certain period of time is estimated, and if the degree of increase in the blood alcohol concentration in the first period relative to the total amount of alcohol ordered in the first period is less than the reference value, The drinking state estimation according to claim 3, wherein the predicted value of the blood alcohol concentration is reduced, and the drunkenness degree of the person after the predicted time is estimated based on the reduced predicted value. Device.
  7. 　前記人の注文履歴に関する注文履歴情報を取得する注文情報取得部と
    　前記注文情報取得部が取得した前記注文履歴情報に基づき、注文内容を解析する注文解析部を備え、
    　前記推定部は、前記アルコール濃度情報取得部が取得した、現在の前記人の前記血中アルコール濃度を示す前記アルコール濃度情報と、前記注文解析部が解析した前記注文内容の解析結果とに基づき、前記予測時間後の前記人の前記酒酔い度を推定する
    　ことを特徴とする請求項１記載の飲酒状態推定装置。     an order information acquisition unit that acquires order history information regarding the order history of the person; and an order analysis unit that analyzes order details based on the order history information acquired by the order information acquisition unit,
    The estimation unit is based on the alcohol concentration information indicating the current blood alcohol concentration of the person acquired by the alcohol concentration information acquisition unit and the analysis result of the order content analyzed by the order analysis unit, The drinking state estimating device according to claim 1, wherein the drunkenness level of the person is estimated after the predicted time.
  8. 　前記注文内容の前記解析結果は、第１期間における前記アルコールの注文頻度、または、前記第１期間において行われた注文毎の、前記アルコールの量の情報をさらに含み、
    　前記推定部は、前記アルコール濃度情報取得部が取得した前記アルコール濃度情報と注文された前記アルコールの量とに基づき前記予測時間後の前記人の前記血中アルコール濃度の予測値を予測し、前記第１期間における前記アルコールの前記注文頻度が増加傾向にある、または、１回の注文にて注文された前記アルコールの量が増加した場合は前記血中アルコール濃度の前記予測値を大きくして、大きくした後の前記予測値に基づき前記予測時間後の前記人の前記酒酔い度を推定し、前記第１期間における前記アルコールの前記注文頻度が減少傾向にある、または、前記１回の注文にて注文された前記アルコールの量が減少した場合は前記血中アルコール濃度の前記予測値を小さくして、小さくした後の前記予測値に基づき前記予測時間後の前記人の前記酒酔い度を推定する
    　ことを特徴とする請求項７記載の飲酒状態推定装置。     The analysis result of the order contents further includes information on the order frequency of the alcohol in the first period or the amount of the alcohol for each order made in the first period,
    The estimation unit predicts a predicted value of the blood alcohol concentration of the person after the prediction time based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit and the ordered amount of alcohol, and If the order frequency of the alcohol in the first period tends to increase, or if the amount of the alcohol ordered in one order increases, the predicted value of the blood alcohol concentration is increased, The degree of drunkenness of the person after the predicted time is estimated based on the predicted value after increasing the predicted value, and the degree of drunkenness of the person after the predicted time is estimated, and the order frequency of the alcohol in the first period is on a decreasing trend, or If the amount of alcohol ordered decreases, the predicted value of the blood alcohol concentration is decreased, and the drunkenness degree of the person after the predicted time is estimated based on the decreased predicted value. The drinking state estimating device according to claim 7, characterized in that:
  9. 　前記注文内容の前記解析結果は、注文された前記アルコールの度数の情報をさらに含み、
    　前記推定部は、前記アルコール濃度情報取得部が取得した前記アルコール濃度情報と注文された前記アルコールの量とに基づき前記予測時間後の前記人の前記血中アルコール濃度の予測値を予測し、度数が第１度数判定用閾値以上である前記アルコールが注文された場合は前記血中アルコール濃度の前記予測値を大きくして、大きくした後の前記予測値に基づき、前記予測時間後の前記人の前記酒酔い度を推定し、度数が第２度数判定用閾値未満である前記アルコールが注文された場合は前記血中アルコール濃度の前記予測値を小さくして、小さくした後の前記予測値に基づき前記予測時間後の前記人の前記酒酔い度を推定する
    　ことを特徴とする請求項７記載の飲酒状態推定装置。     The analysis result of the order contents further includes information on the alcohol content ordered,
    The estimation unit predicts a predicted value of the blood alcohol concentration of the person after the prediction time based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit and the ordered amount of alcohol, and calculates the alcohol concentration of the person after the prediction time. If alcohol is ordered that is equal to or higher than the first alcohol determination threshold, the predicted value of the blood alcohol concentration is increased, and based on the increased predicted value, the person's alcohol concentration after the predicted time is increased. The degree of drunkenness is estimated, and if the alcohol whose degree of intoxication is less than a second alcohol level determination threshold is ordered, the predicted value of the blood alcohol concentration is reduced, and based on the predicted value after being reduced. The drinking state estimating device according to claim 7, wherein the drunkenness level of the person is estimated after the predicted time.
  10. 　請求項１または請求項２記載の飲酒状態推定装置と、
    　前記人の存在の有無に関する存否情報を取得する存否情報取得部と、
    　前記存否情報取得部が取得した前記存否情報に基づき前記人を特定し、前記人毎にキャラクターを割り当てる割当部と、
    　前記人について、前記推定部が推定した前記予測時間後の前記人の前記酒酔い度に基づき出力内容を決定し、前記割当部が割り当てた前記キャラクターを、決定した前記出力内容に応じた形態で表示させるための出力制御情報を生成する出力内容決定部と、
    　前記出力内容決定部が生成した前記出力制御情報を出力する出力部
    　とを備えた生体情報通知装置。     A drinking state estimation device according to claim 1 or claim 2;
    a presence/absence information acquisition unit that obtains presence/absence information regarding the presence or absence of the person;
    an allocation unit that identifies the person based on the presence/absence information acquired by the presence/absence information acquisition unit and assigns a character to each person;
    For the person, output content is determined based on the degree of drunkenness of the person after the predicted time estimated by the estimation unit, and the character assigned by the assignment unit is in a form according to the determined output content. an output content determination unit that generates output control information for display;
    A biological information notification device comprising: an output section that outputs the output control information generated by the output content determination section.
  11. 　前記出力内容決定部は、
    　前記推定部が推定した前記予測時間後の前記人の前記酒酔い度が飲酒判定用閾値以上である場合、前記人に対して近い将来過度のアルコール摂取状態に陥ることを警告する形態で前記キャラクターを表示させるための前記出力制御情報を生成し、
    　前記推定部が推定した前記予測時間後の前記人の前記酒酔い度が前記飲酒判定用閾値未満である場合、前記キャラクターを前記酒酔い度に応じた形態で表示させるための前記出力制御情報を生成する
    　ことを特徴とする請求項１０記載の生体情報通知装置。     The output content determining unit includes:
    If the degree of drunkenness of the person after the predicted time estimated by the estimator is equal to or higher than the threshold for determining alcohol consumption, the character is displayed in a form that warns the person that he/she will fall into a state of excessive alcohol intake in the near future. generating the output control information for displaying the
    If the degree of drunkenness of the person after the predicted time estimated by the estimation unit is less than the threshold for determining drunkenness, the output control information for displaying the character in a form according to the degree of drunkenness. The biometric information notification device according to claim 10, wherein the biological information notification device generates a biological information.
  12. 　前記人の注文履歴に関する注文履歴情報を取得する注文情報取得部と、
    　前記注文情報取得部が取得した前記注文履歴情報に基づき、注文内容を解析する注文解析部を有し、
    　前記注文解析部による前記注文内容の解析結果は、注文された前記アルコールの量の情報、または、注文された前記アルコールの度数の情報を含み、
    　前記出力内容決定部は、前記解析結果に基づき、前記人の数に対して注文された前記アルコールの量が多いと判定した場合、または、注文された前記アルコールの度数が高いと判定した場合、前記人に対して過度のアルコール摂取への注意喚起を行う形態で前記キャラクターを表示させるための前記出力制御情報を生成する
    　ことを特徴とする請求項１０記載の生体情報通知装置。     an order information acquisition unit that acquires order history information regarding the order history of the person;
    an order analysis unit that analyzes order details based on the order history information acquired by the order information acquisition unit;
    The analysis result of the order contents by the order analysis unit includes information on the amount of the alcohol ordered or information on the alcohol content ordered,
    When the output content determining unit determines that the amount of the ordered alcohol is large relative to the number of people based on the analysis result, or when determining that the alcohol that is ordered has a high alcohol content, The biological information notification device according to claim 10, wherein the output control information is generated for displaying the character in a form that alerts the person to excessive alcohol intake.
  13. 　請求項３から請求項９のうちのいずれか１項記載の飲酒状態推定装置と、
    　前記人の存在の有無に関する存否情報を取得する存否情報取得部と、
    　前記存否情報取得部が取得した前記存否情報に基づき前記人を特定し、前記人毎にキャラクターを割り当てる割当部と、
    　前記人について、前記推定部が推定した前記予測時間後の前記人の前記酒酔い度に基づき出力内容を決定し、前記割当部が割り当てた前記キャラクターを、決定した前記出力内容に応じた形態で表示させるための出力制御情報を生成する出力内容決定部と、
    　前記出力内容決定部が生成した前記出力制御情報を出力する出力部
    　とを備えた生体情報通知装置。     A drinking state estimation device according to any one of claims 3 to 9;
    a presence/absence information acquisition unit that obtains presence/absence information regarding the presence or absence of the person;
    an allocation unit that identifies the person based on the presence/absence information acquired by the presence/absence information acquisition unit and assigns a character to each person;
    For the person, output content is determined based on the degree of drunkenness of the person after the predicted time estimated by the estimation unit, and the character assigned by the assignment unit is in a form according to the determined output content. an output content determination unit that generates output control information for display;
    A biological information notification device comprising: an output section that outputs the output control information generated by the output content determination section.
  14. 　前記出力内容決定部は、
    　前記推定部が推定した前記予測時間後の前記人の前記酒酔い度が飲酒判定用閾値以上である場合、前記人に対して近い将来過度のアルコール摂取状態に陥ることを警告する形態で前記キャラクターを表示させるための前記出力制御情報を生成し、
    　前記推定部が推定した前記予測時間後の前記人の前記酒酔い度が前記飲酒判定用閾値未満である場合、前記キャラクターを前記酒酔い度に応じた形態で表示させるための前記出力制御情報を生成する
    　ことを特徴とする請求項１３記載の生体情報通知装置。     The output content determining unit includes:
    If the degree of drunkenness of the person after the predicted time estimated by the estimator is equal to or higher than the threshold for determining alcohol consumption, the character is displayed in a form that warns the person that he/she will fall into a state of excessive alcohol intake in the near future. generating the output control information for displaying the
    If the degree of drunkenness of the person after the predicted time estimated by the estimation unit is less than the threshold for determining drunkenness, the output control information for displaying the character in a form according to the degree of drunkenness. The biometric information notification device according to claim 13, wherein the biological information notification device generates a biological information.
  15. 　前記出力内容決定部は、
    　前記アルコール濃度情報取得部が取得した前記アルコール濃度情報に基づき、現在の前記人の前記血中アルコール濃度が閾値を超えていると判定した場合、前記推定部が推定した前記予測時間後の前記人の前記酒酔い度によらず、前記人に対して近い将来過度のアルコール摂取状態に陥ることを警告する形態で前記キャラクターを表示させるための前記出力制御情報を生成する
    　ことを特徴とする請求項１３記載の生体情報通知装置。     The output content determining unit includes:
    When it is determined that the current blood alcohol concentration of the person exceeds the threshold based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit, the blood alcohol concentration of the person after the predicted time estimated by the estimation unit The output control information is generated for displaying the character in a form that warns the person that he or she will be in a state of excessive alcohol intake in the near future, regardless of the degree of drunkenness of the person. 14. The biological information notification device according to 13.
  16. 　前記注文解析部による前記注文内容の前記解析結果は、注文された前記アルコールの量の情報、または、注文された前記アルコールの度数の情報を含み、
    　前記出力内容決定部は、前記解析結果に基づき、前記人の数に対して注文された前記アルコールの量が多いと判定した場合、または、注文された前記アルコールの度数が高いと判定した場合、前記人に対して過度のアルコール摂取への注意喚起を行う形態で前記キャラクターを表示させるための前記出力制御情報を生成する
    　ことを特徴とする請求項１３記載の生体情報通知装置。     The analysis result of the order content by the order analysis unit includes information on the amount of the alcohol ordered or information on the alcohol content ordered,
    When the output content determining unit determines that the amount of the ordered alcohol is large relative to the number of people based on the analysis result, or when determining that the alcohol that is ordered has a high alcohol content, 14. The biological information notification device according to claim 13, wherein the output control information is generated for displaying the character in a form that alerts the person to excessive alcohol intake.
  17. 　アルコールが提供される飲食店における人の飲酒状態を推定する飲酒状態推定システムであって、
    　前記人と接触する物体に設けられ前記人に光を照射し反射させて受光した反射光に基づいて前記人の血中アルコール濃度を計測するアルコール濃度検知センサと、
    　前記アルコール濃度検知センサから、前記人の前記血中アルコール濃度を示すアルコール濃度情報を取得するアルコール濃度情報取得部と、
    　前記アルコール濃度情報取得部が取得した前記アルコール濃度情報に基づいて、前記予測時間後の前記人の酒酔い度を前記人の前記飲酒状態として推定する推定部
    　とを備えた飲酒状態推定システム。     A drinking state estimation system for estimating a person's drinking state at a restaurant where alcohol is served,
    an alcohol concentration detection sensor that is installed on an object that comes into contact with the person and measures the blood alcohol concentration of the person based on the reflected light that is received by irradiating light onto the person;
    an alcohol concentration information acquisition unit that acquires alcohol concentration information indicating the blood alcohol concentration of the person from the alcohol concentration detection sensor;
    A drinking state estimation system comprising: an estimating section that estimates the drunkenness level of the person after the predicted time as the drinking state of the person based on the alcohol concentration information acquired by the alcohol concentration information acquiring section.
  18. 　前記アルコール濃度検知センサは、前記人が使用する食事用器具に設けられている
    　ことを特徴とする請求項１７記載の飲酒状態推定システム。     The drinking state estimation system according to claim 17, wherein the alcohol concentration detection sensor is provided in a dining utensil used by the person.
  19. 　前記アルコール濃度検知センサは、前記人が席に着いている椅子または机に設けられている
    　ことを特徴とする請求項１７記載の飲酒状態推定システム。     The drinking state estimation system according to claim 17, wherein the alcohol concentration detection sensor is provided on a chair or a desk where the person is sitting.
  20. 　前記アルコール濃度検知センサは、前記人が装着するウェアラブル端末に設けられている
    　ことを特徴とする請求項１７記載の飲酒状態推定システム。     The drinking state estimation system according to claim 17, wherein the alcohol concentration detection sensor is provided in a wearable terminal worn by the person.
  21. 　前記アルコール濃度検知センサは、送電装置から非接触で受電可能であり、前記送電装置から受電した電力に基づき、前記人の前記血中アルコール濃度を計測する
    　ことを特徴とする請求項１７記載の飲酒状態推定システム。     The alcohol concentration detection sensor according to claim 17, wherein the alcohol concentration detection sensor is capable of receiving power from a power transmission device in a non-contact manner, and measures the blood alcohol concentration of the person based on the power received from the power transmission device. State estimation system.
  22. 　アルコールが提供される飲食店における人の飲酒状態を推定する飲酒状態推定方法であって、
    　アルコール濃度情報取得部が、前記人と接触する物体に設けられ前記人に光を照射し反射させて受光した反射光に基づいて前記人の血中アルコール濃度を計測するアルコール濃度検知センサから、前記人の前記血中アルコール濃度を示すアルコール濃度情報を取得するステップと、
    　推定部が、前記アルコール濃度情報取得部が取得した前記アルコール濃度情報に基づいて、前記予測時間後の前記人の酒酔い度を前記人の前記飲酒状態として推定するステップ
    　とを備えた飲酒状態推定方法。     A drinking state estimation method for estimating a person's drinking state at a restaurant where alcohol is served, the method comprising:
    An alcohol concentration information acquisition unit includes an alcohol concentration detection sensor that is provided on an object that comes into contact with the person and measures the blood alcohol concentration of the person based on the reflected light that is received by irradiating light on the person. obtaining alcohol concentration information indicating the blood alcohol concentration of the person;
    a step in which the estimation unit estimates the degree of drunkenness of the person after the prediction time as the drinking state of the person based on the alcohol concentration information acquired by the alcohol concentration information acquisition unit. Method.
PCT/JP2022/015751 2022-03-30 2022-03-30 Alcohol consumption status estimating device, biological information notification device, alcohol consumption status estimating system, and alcohol consumption status estimating method WO2023188050A1 (en)

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