CN115284836A - Fragrance control method and device - Google Patents
Fragrance control method and device Download PDFInfo
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- CN115284836A CN115284836A CN202210752651.0A CN202210752651A CN115284836A CN 115284836 A CN115284836 A CN 115284836A CN 202210752651 A CN202210752651 A CN 202210752651A CN 115284836 A CN115284836 A CN 115284836A
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- B—PERFORMING OPERATIONS; TRANSPORTING
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- B60H3/00—Other air-treating devices
- B60H3/0007—Adding substances other than water to the air, e.g. perfume, oxygen
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
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- A61M2021/0077—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus with application of chemical or pharmacological stimulus
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Abstract
The invention relates to a fragrance control method and a device, wherein the method comprises the following steps: acquiring physiological state information of a target user in a vehicle, external environment information of the vehicle and driving state information of the vehicle; determining the current emotional state of the target user and an emotional tag corresponding to the current emotional state; selecting a target fragrance matched with the emotion label from historical fragrance data belonging to a target user by using a first model; the historical fragrance data comprises fragrance data collected from the vehicle at each collection time before the current time and emotion labels of target users at the collection time; and putting the target fragrance on the vehicle. Therefore, the target fragrance matched with the emotion label is selected from the historical fragrance data belonging to the target user, so that the target fragrance can really match the requirements of the user, and the emotional state and experience of the user are improved.
Description
Technical Field
The invention relates to the technical field of vehicles, in particular to a fragrance control method and device.
Background
As consumers escalate, consumers are pursuing spiritual pleasure and high quality life. The automobile fragrance system can create good atmosphere in the automobile for users, and the fragrance with suitable taste can bring pleasant mood for the users.
At present, the fragrance provided by manufacturers can be directly marked as the fragrance which is happy or refreshing, and users can select different types of fragrances according to the requirements of the users. However, different users have different experience feelings for the taste of the fragrance, the fragrance with the label cannot really match the requirements of the users, and the help for improving the mood of the users and improving the user experience is not large.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. To this end, a first aspect of the present invention proposes a fragrance control method, the method comprising:
acquiring physiological state information of a target user in a vehicle, external environment information of the vehicle and driving state information of the vehicle;
determining the current emotional state of the target user and an emotional tag corresponding to the current emotional state based on the physiological state information of the target user, the external environment information and the driving state information of the vehicle;
selecting target fragrance matched with the emotion label from historical fragrance data belonging to the target user by using a first model; the historical fragrance data comprises fragrance data collected from the vehicle at each collection time before the current time and emotion labels of the target users at the collection time;
and putting the target fragrance on the vehicle.
Optionally, before acquiring physiological status information of a target user in the vehicle, the method further includes:
acquiring the number of users in the vehicle by using a camera;
determining the only user in the vehicle as a target user under the condition that the number of the users is one;
and determining the user triggering the fragrance button of the vehicle as a target user or determining the user positioned on a preset seat as the target user when the number of the users is multiple.
Optionally, the historical fragrance data is obtained by the following method:
collecting physiological state information of a normally-seated user in the vehicle, external environment information of the vehicle and driving state information of the vehicle according to a preset cycle under the condition that a fragrance is put in the vehicle in a target time period before the current time, and collecting fragrance data in the vehicle, wherein the fragrance data at least comprises a fragrance type and a fragrance concentration;
according to the physiological state information of the user at the acquisition moment, the external environment information of the vehicle and the running state information of the vehicle, determining the emotional state of the user at the acquisition moment and an emotional tag corresponding to the emotional state;
inputting the fragrance data at each acquisition moment and the emotion label of the user at the acquisition moment into a second model to obtain the corresponding relation between each emotion label and the fragrance data;
and storing the corresponding relation between the emotion label and the fragrance data of each user in a cloud end as historical fragrance data.
Optionally, selecting a target fragrance matching the emotion tag from historical fragrance data belonging to the target user includes:
determining categories of the emotion labels, wherein the categories of the emotion labels comprise a positive emotion class and a negative emotion class;
under the condition that the emotion labels belong to the negative emotion class, selecting target aroma capable of improving the current emotion state from the emotion labels belonging to the positive emotion class in the historical aroma data by using a first model; the first model is constructed based on the fragrance data and emotion change data after the user uses the fragrance data;
and under the condition that the emotion label belongs to the positive emotion class, selecting a target fragrance which can cater to the current emotion state from the emotion labels belonging to the positive emotion class in the historical fragrance data by using the first model.
Optionally, the acquiring physiological status information of a target user in a vehicle includes:
acquiring image information, video information and hot spot area information of a human body of a target user by using a camera and an infrared sensor in the vehicle;
identifying the video information and the hotspot area graph to obtain expression information and sign information of the target user, wherein the sign information at least comprises heart rate, blood pressure and blood oxygen concentration;
and taking the expression information and the physical sign information as the physiological state information of the target user.
Optionally, the external environment information of the vehicle at least includes the geographic location of the vehicle, the environment image and video around the vehicle, the current weather, and the current time;
the running state information of the vehicle at least includes speed, acceleration, power consumption information, and vehicle balance state information of the vehicle.
A second aspect of the present invention provides a fragrance control apparatus, the apparatus comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring physiological state information of a target user in a vehicle, external environment information of the vehicle and driving state information of the vehicle;
the first emotion label determination module is used for determining the current emotion state of the target user and an emotion label corresponding to the current emotion state based on the physiological state information of the target user, the external environment information and the driving state information of the vehicle;
the target fragrance selecting module is used for selecting the target fragrance matched with the emotion label from the historical fragrance data belonging to the target user by using a first model; the historical fragrance data comprises fragrance data collected from the vehicle at each collection time before the current time and emotion labels of the target users at the collection time;
and the target fragrance releasing module is used for releasing the target fragrance on the vehicle.
Optionally, the apparatus further comprises:
the number obtaining module is used for obtaining the number of users in the vehicle by using the camera;
the first determining module is used for determining the only user in the vehicle as a target user under the condition that the number of the users is one;
and the second determination module is used for determining the user triggering the fragrance button of the vehicle as a target user or determining the user positioned on a preset seat as the target user under the condition that the number of the users is multiple.
Optionally, the apparatus further comprises:
the second acquisition module is used for acquiring physiological state information of a sitting user in the vehicle, external environment information of the vehicle and driving state information of the vehicle according to a preset cycle and acquiring fragrance data in the vehicle under the condition that the fragrance is put in the vehicle in a target time period before the current time, wherein the fragrance data at least comprises a fragrance type and a fragrance concentration;
the second emotion tag determination module is used for determining the emotion state of the user at the acquisition moment and an emotion tag corresponding to the emotion state according to the physiological state information of the user at the acquisition moment, the external environment information of the vehicle and the driving state information of the vehicle;
the corresponding relation determining module is used for inputting the fragrance data at each acquisition time and the emotion label of the user at the acquisition time into a second model to obtain the corresponding relation between each emotion label and the fragrance data;
and the storage module is used for storing the corresponding relation between the emotion label and the fragrance data of each user in a cloud end as historical fragrance data.
Optionally, the target fragrance selecting module is specifically configured to:
determining categories of the emotion labels, wherein the categories of the emotion labels comprise a positive emotion class and a negative emotion class;
under the condition that the emotion labels belong to the negative emotion class, selecting target aroma capable of improving the current emotion state from the emotion labels belonging to the positive emotion class in the historical aroma data by using a first model; the first model is constructed based on the fragrance data and emotion change data after the user uses the fragrance data;
and under the condition that the emotion label belongs to the positive emotion class, selecting a target fragrance which can cater to the current emotion state from the emotion labels belonging to the positive emotion class in the historical fragrance data by using the first model.
Optionally, the first acquisition module is specifically configured to:
acquiring image information, video information and hot spot area information of a human body of a target user by using a camera and an infrared sensor in the vehicle;
identifying the video information and the hotspot area graph to obtain expression information and sign information of the target user, wherein the sign information at least comprises heart rate, blood pressure and blood oxygen concentration;
and taking the expression information and the physical sign information as the physiological state information of the target user.
A third aspect of the present invention proposes an electronic device comprising a processor and a memory having stored therein at least one instruction, at least one program, set of codes or set of instructions, which is loaded and executed by the processor to implement the fragrance control method according to the first aspect.
A fourth aspect of the present invention proposes a computer-readable storage medium having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by a processor to implement the fragrance control method according to the first aspect.
According to the specific embodiment provided by the invention, the invention has the following technical effects:
the fragrance control method provided by the embodiment of the invention collects physiological state information of a target user in a vehicle, external environment information of the vehicle and driving state information of the vehicle; determining the current emotional state of the target user and an emotional tag corresponding to the current emotional state based on the physiological state information of the target user, the external environment information and the driving state information of the vehicle; selecting target fragrance matched with the emotion label from historical fragrance data belonging to the target user by using a first model; the historical fragrance data comprises fragrance data collected from the vehicle at each collection time before the current time and emotion labels of the target users at the collection time; delivering the target fragrance on the vehicle. In this way, the target fragrance matched with the emotion label is selected from the historical fragrance data belonging to the target user, and the target fragrance is the fragrance which is verified according to the historical data of the target user and can be matched with the current emotion label of the target user, so that the target fragrance can really match the requirements of the user, and the emotional state and experience of the user are improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings used in the description of the embodiment or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art it is also possible to derive other drawings from them without inventive effort.
FIG. 1 is a flow chart illustrating steps of a first fragrance control method according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating steps of a second fragrance control method according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating steps of a third method for controlling fragrance according to an embodiment of the present invention;
fig. 4 is a block diagram of a fragrance control apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The present specification provides method steps as described in the examples or flowcharts, but more or fewer steps may be included based on routine or non-invasive labor. In practice, the system or server product may be implemented in a sequential or parallel manner (e.g., parallel processor or multi-threaded environment) according to the embodiments or methods shown in the figures.
FIG. 1 is a flowchart illustrating steps of a first method for controlling fragrance according to an embodiment of the present invention. The method comprises the following steps:
The physiological state information of the target user comprises information which can reflect the emotional state of the user, such as the current expression, action and physical sign of the target user, and the external environment information of the vehicle comprises information which is irrelevant to the vehicle, such as the environment of the external space of the vehicle, the geographic position of the vehicle and the like, but can influence the emotional state of the user in the vehicle.
The driving state information of the vehicle includes information that the speed, direction, acceleration, etc. of the vehicle reflect the driving state of the vehicle and may affect the emotional state of the user in the vehicle.
In one possible embodiment, the acquiring physiological status information of a target user in a vehicle includes:
step 1011, acquiring image information, video information and hot spot area information of a human body of a target user by using a camera and an infrared sensor in the vehicle;
step 1012, identifying and analyzing the image information, the video information and the hot spot area information to obtain expression information and sign information of the target user, wherein the sign information at least comprises heart rate, blood pressure and blood oxygen concentration;
and 1013, taking the expression information and the physical sign information as the physiological state information of the target user.
In steps 1011-1013, the physiological state information of the target user includes expression information and sign information, both of which can be obtained by analyzing the image and video of the target user.
And calculating the motion parameters of the motion image by extracting the geometric features and the motion features of the image of the target user, so as to obtain the expression information of the target user. The expression information can comprise various expressions such as smile, laugh, cry and dull.
The physical sign information refers to physiological indexes which cannot be subjectively controlled by a person, such as heart rate, blood pressure, blood oxygen concentration change and the like. By analyzing the hot spot area diagram of the human body, the change rule of the capillary blood vessel congestion when the human body breathes is obtained, so that the physical characteristics data such as heart rate, blood pressure, blood oxygen concentration change and the like are obtained.
In one possible embodiment, the external environmental information of the vehicle includes at least a geographic location of the vehicle, an environmental image and video surrounding the vehicle, a current weather, a current time;
the running state information of the vehicle at least includes speed, acceleration, power consumption information, and vehicle balance state information of the vehicle.
In an embodiment of the invention, the external environmental information of the vehicle may influence the emotional state of the user in the vehicle. For the driver, the driving state information part of the vehicle reflects the emotional state of the driver, and the emotional state of the driver can be influenced in turn; for the passenger, the driving state information of the vehicle can also affect the emotional state of the passenger.
For example, when the external environment of the vehicle is a congested market, the acceleration of the vehicle running is a negative value, and it is conceivable that the emotional state of the user inside the vehicle is a fidgety state or a anxious state.
And 102, determining the current emotional state of the target user and an emotional tag corresponding to the current emotional state based on the physiological state information of the target user, the external environment information and the driving state information of the vehicle.
The current emotional state of the target user may be influenced and decided by physiological state information of the target user, external environment information, and driving state information of the vehicle. The three factors have the characteristics of supplementing each other and influencing each other, and the current emotional state of the target user can be accurately obtained through the three factors.
Various emotion labels and corresponding relations between the emotion labels and the emotion states are preset. For example, the emotion tags may include at least: pleasure, excitement, fatigue, engendering qi, difficulty, irritability, calmness, etc. Each emotional tag corresponds to at least one emotional state.
And obtaining the emotion label corresponding to the current emotion state according to the corresponding relation between the emotion label and the emotion state.
103, selecting a target fragrance matched with the emotion label from historical fragrance data belonging to the target user by using a first model; the historical fragrance data comprises fragrance data collected from the vehicle at each collection time before the current time and the emotion label of the target user at the collection time.
In the fragrance system, users who frequently take the current vehicle correspond to historical fragrance data to which the users belong. The historical fragrance data includes each collection time within the historical time period, fragrance data collected from the vehicle interior, and an emotion label of the user at the collection time. The fragrance data may generally include fragrance notes and fragrance concentrations, among others.
When a certain fragrance type and concentration is used in a vehicle in a historical time period, a user corresponds to a certain emotional state under the fragrance, and thus, the corresponding relation between the fragrance data and the emotional label of the user is formed. The corresponding relation is obtained according to the real use experience of the user, is not set by a third party according to experience or imagination, and is the real use experience of the user.
The fragrance data matched with the user emotion label is fragrance data capable of improving the user emotion state under the negative emotion states of anger, hurry, crying, drowsiness, tension and the like of the user emotion; or the fragrance data can cater to the positive emotional experience of the user under the positive emotional states of joy, peace, excitement and the like of the user.
The embodiment of the invention selects the target fragrance matched with the current emotional state from the historical fragrance data, and the target fragrance is not an empirical value obtained according to the big data of other users because the target fragrance is already used by the target user, so that the effect of the target fragrance on the emotion of the target user is determined. Thus, the target fragrance may truly match the user's current emotional state.
And 104, putting the target fragrance on the vehicle.
Target fragrance, including corresponding fragrance notes and fragrance concentrations. Putting the target fragrance on the vehicle can improve the negative emotional state of the user along with the release of the fragrance or cater the positive emotional state of the user along with the release of the fragrance.
For example, when the user is on the way to home after work late at night, the current emotional state of the user is measured through the camera and the infrared sensor, and the emotion label corresponding to the current emotional state is determined to be drowsy. At this time, the target fragrance matching the drowsy emotion label is acquired from the history fragrance data. The fragrance type and concentration of the target fragrance can improve the sleepy emotional state of the user when the target fragrance is used before the user, and has the functions of refreshing the user. Therefore, the user can be refreshed and relieved by releasing the target fragrance at present.
To sum up, the fragrance control method provided by the embodiment of the present invention collects physiological state information of a target user in a vehicle, external environment information of the vehicle, and driving state information of the vehicle; determining the current emotional state of the target user and an emotional tag corresponding to the current emotional state based on the physiological state information of the target user, the external environment information and the driving state information of the vehicle; selecting a target fragrance matched with the emotion label from historical fragrance data belonging to the target user by using a first model; the historical fragrance data comprises fragrance data collected from the vehicle at each collection time before the current time and emotion labels of the target users at the collection time; delivering the target fragrance on the vehicle. In this way, the target fragrance matched with the emotion label is selected from the historical fragrance data belonging to the target user, and the target fragrance is the fragrance which is verified according to the historical data of the target user and can be matched with the current emotion label of the target user, so that the target fragrance can really match the requirements of the user, and the emotional state and experience of the user are improved.
In one possible embodiment, as shown in fig. 2, before acquiring physiological status information of a target user in a vehicle, the following steps 201 to 203 are further included:
and 203, determining the user triggering the fragrance button of the vehicle as a target user or determining the user positioned on a preset seat as the target user when the number of the users is multiple.
Step 201-step 203 are methods of determining a target user. The method of determining the target user may be preset in the vehicle's fragrance system. For example, it can be set as: when the number of the users in the vehicle is one, the user is directly determined as a target user. When the number of people in the vehicle is multiple, the user triggering the fragrance button is determined as the target user, or the target user is not determined according to the triggering of the fragrance button, but the user on a preset seat which can be preset in the fragrance system is determined as the target user. For example, the preset seat may be provided as a driver seat, a passenger seat, or the like.
The target user is determined according to the method, so that automation of fragrance control is facilitated, namely the target user is automatically locked, physiological state information of the target user is obtained, finally released fragrance is matched with the fragrance of the target user, the target user is prevented from being manually selected every time, automation of fragrance control is achieved, and use experience of the user is improved.
In one possible embodiment, as shown in fig. 3, the historical fragrance data is obtained by:
and 304, storing the corresponding relation between the emotion label and the fragrance data in a cloud end as historical fragrance data.
Steps 301-304 are methods for collecting historical fragrance data. In order to ensure the timeliness of the historical data, the fragrance data in the vehicle can be periodically collected, and the historical fragrance data can be updated according to the fragrance data.
Specifically, in the data collection period, normally seated persons in the vehicle can be determined according to images shot by the camera, and then physiological state information of the normally seated persons, current vehicle external environment information and vehicle driving state information, and fragrance data such as fragrance type and fragrance concentration can be collected and aligned according to a time line. In this way, the physiological state information of each user at each collection time, the vehicle external environment information, the vehicle running state information at the collection time, and the fragrance data at the collection time can be obtained.
And then, obtaining the emotional state of the user and an emotional tag corresponding to the emotional state according to the physiological state information, the external environment information of the vehicle and the driving state information of the vehicle of the user at each acquisition moment.
The emotion labels may be preset, for example, the emotion labels at least include: pleasure, excitement, fatigue, engendering qi, difficulty, irritability and calmness. And determining an emotion label corresponding to the emotion state of the user, and then corresponding the acquired fragrance data to the emotion label of the user to obtain the corresponding relation between the emotion label of the user at the acquisition time and the fragrance data.
It is contemplated that different emotional states may be possible for the same type of fragrance data, considering that the user is at different collection times. Therefore, the fragrance data and the emotion state at each acquisition time can be input into the second model, the corresponding relation between the fragrance data and the emotion state is trained, and the stable corresponding relation between the emotion label and the fragrance data is obtained according to a large amount of training data.
And storing the corresponding relation between the emotion label of each user and the fragrance data in a cloud end to form historical fragrance data.
In a possible implementation, the selecting, by using the first model, a target fragrance matching the emotion label from historical fragrance data belonging to the target user includes the following steps 401 to 403:
step 401, determining the category of the emotion label, wherein the category of the emotion label comprises a positive emotion category and a negative emotion category;
step 402, under the condition that the emotion labels belong to the negative emotion class, selecting target aroma capable of improving the current emotion state from the emotion labels belonging to the positive emotion class in the historical aroma data by using a first model; the first model is constructed based on the fragrance data and emotion change data after the user uses the fragrance data;
and 403, under the condition that the emotion labels belong to the positive emotion class, selecting target aroma capable of meeting the current emotion state from the emotion labels belonging to the positive emotion class in the historical aroma data by using the first model.
In steps 401-403, the category of emotion label corresponding to the current emotional state is first determined. The emotion labels belonging to the positive emotion category are: pleasure, excitement, calmness, etc., among the negative mood classes are the emotional labels: fatigue, engendering qi, difficulty in passing, dysphoria, etc.
In case the emotion label belongs to the negative emotion class, it is necessary to select a fragrance that improves the current negative emotion of the user. Thus, a target fragrance that improves the current emotional state can be selected from the emotional tags of the positive emotional class using the first model. For example, when the emotion label is dysphoria, the target fragrance corresponding to the calm emotion label is selected, and the dysphoria state of the user can be solved and improved.
Under the condition that the emotion label belongs to the positive emotion class, the emotion state of the user does not need to be improved, and the first model can be used for selecting the fragrance which can meet the emotion state of the user, so that the emotional experience feeling of the user is improved, and the positive emotion state of the user can be prolonged.
When the first model is constructed, the emotion change data after the user uses the fragrance data can be obtained from the historical fragrance data. Specifically, the emotion change data can be obtained from the emotion states of the users at adjacent acquisition times. And corresponding the fragrance data used in a time period with the emotion change data in the time period to obtain the corresponding relation between the fragrance data and the emotion change data. And training the first initial model by utilizing the corresponding relation to obtain a first model capable of predicting the emotion change condition of the user after using the fragrance data according to the fragrance data.
The first model is constructed based on the fragrance data and mood change data after the user uses the fragrance data. Therefore, the first model can accurately select a target fragrance that can improve the emotional state of the user.
In one possible embodiment, the acquiring physiological status information of the target user in the vehicle includes the following steps 501 to 503:
step 501, acquiring image information, video information and hot spot area information of a human body of a target user by using a camera in a vehicle and an infrared sensor;
step 502, identifying and analyzing the image information, the video information and the hotspot area information to obtain expression information and sign information of the target user, wherein the sign information at least comprises heart rate, blood pressure and blood oxygen concentration;
step 503, using the expression information and the physical sign information as the physiological state information of the target user.
In steps 501-503, a camera and an infrared sensor are arranged in the vehicle to collect images, videos and hot spot area information of a human body of a user.
The expression information of the target user can be obtained through image and video information, for example, the facial feature change is recognized, so that the expression information of the face is obtained.
Since inequality may exist between the expression information of the human face and the real emotional state of the person, the real emotional state of the person can be further determined by acquiring the sign information of the person.
The target user may wear the infrared sensor as a wearable device or may place the infrared sensor around the target user. The infrared sensor can detect heat from a human body and detect motion of the human body. For example, the physiological status information of the target user is obtained by sensing the weak fluctuation of the arterial blood vessel of the human body to measure the heart rate, heartbeat, blood oxygen concentration and the like of the human body.
The expression information and the physical sign information are jointly used as the physiological state information of the target user, so that the current external and internal states of the user can be comprehensively acquired, and the emotional state can be accurately judged.
In one possible embodiment, the external environmental information of the vehicle includes at least a geographic location of the vehicle, an image and video of an environment surrounding the vehicle, a current weather, a current time;
the running state information of the vehicle at least includes speed, acceleration, power consumption information, and vehicle balance state information of the vehicle.
In an embodiment of the invention, the external environmental information of the vehicle may influence the emotional state of the user in the vehicle. For the driver, the driving state information of the vehicle partially reflects the emotional state of the driver, and the emotional state of the driver can be influenced in turn; for the passenger, the driving state information of the vehicle can also affect the emotional state of the passenger.
Therefore, the physiological state information of the target user, the external environment information of the vehicle and the vehicle driving state information are integrated, the emotional state of the target user is judged through the integration of the physiological expression and the external environment of the user, a more accurate emotional state judgment result can be obtained, and the follow-up selection of appropriate target fragrance is facilitated to improve the emotional state.
Fig. 4 is a block diagram of a fragrance control apparatus according to an embodiment of the present invention.
As shown in fig. 4, the fragrance control apparatus 600 includes:
the first acquisition module 601 is used for acquiring physiological state information of a target user in a vehicle, external environment information of the vehicle and driving state information of the vehicle;
a first emotion tag determination module 602, configured to determine a current emotion state of the target user and an emotion tag corresponding to the current emotion state based on the physiological state information of the target user, the external environment information, and the driving state information of the vehicle;
a target fragrance selecting module 603, configured to select, by using a first model, a target fragrance matching the emotion tag from historical fragrance data belonging to the target user; the historical fragrance data comprises fragrance data collected from the vehicle at each collection time before the current time and emotion labels of the target users at the collection time;
a target fragrance delivery module 604 for delivering the target fragrance on the vehicle.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In yet another embodiment provided by the present invention, there is also provided an apparatus comprising a processor and a memory, the memory having stored therein at least one instruction, at least one program, set of codes, or set of instructions, which is loaded and executed by the processor to implement the fragrance control method described in embodiments of the present invention.
In yet another embodiment provided by the present invention, a computer-readable storage medium is further provided, in which at least one instruction, at least one program, a set of codes, or a set of instructions is stored, and the at least one instruction, the at least one program, the set of codes, or the set of instructions is loaded and executed by a processor to implement the fragrance control method described in the embodiment of the present invention.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), among others.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the system embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and reference may be made to the partial description of the method embodiment for relevant points.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (12)
1. A fragrance control method, comprising:
acquiring physiological state information of a target user in a vehicle, external environment information of the vehicle and driving state information of the vehicle;
determining the current emotional state of the target user and an emotional tag corresponding to the current emotional state based on the physiological state information of the target user, the external environment information and the driving state information of the vehicle;
selecting target fragrance matched with the emotion label from historical fragrance data belonging to the target user by using a first model; the historical fragrance data comprises fragrance data collected from the vehicle at each collection time before the current time and emotion labels of the target users at the collection time;
delivering the target fragrance on the vehicle.
2. The method of claim 1, further comprising, prior to collecting physiological status information of a target user in the vehicle:
acquiring the number of users in the vehicle by using a camera;
determining the only user in the vehicle as a target user under the condition that the number of the users is one;
and determining the user triggering the fragrance button of the vehicle as a target user or determining the user positioned on a preset seat as the target user when the number of the users is multiple.
3. The method of claim 1, wherein the historical fragrance data is obtained by:
in a target time period before the current time, collecting physiological state information of a normally-seated user in the vehicle, external environment information of the vehicle and driving state information of the vehicle according to a preset cycle under the condition that the fragrance is put in the vehicle, and collecting fragrance data in the vehicle; the fragrance data at least comprises fragrance odor type and fragrance concentration;
according to the physiological state information of the user at the acquisition moment, the external environment information of the vehicle and the running state information of the vehicle, determining the emotional state of the user at the acquisition moment and an emotional tag corresponding to the emotional state;
inputting the fragrance data at each acquisition moment and the emotion label of the user at the acquisition moment into a second model to obtain the corresponding relation between each emotion label and the fragrance data;
and storing the corresponding relation between the emotion label and the fragrance data of each user in a cloud end as historical fragrance data.
4. The method of claim 1, wherein selecting the target fragrance matching the emotional tag from historical fragrance data belonging to the target user comprises:
determining categories of the emotion labels, wherein the categories of the emotion labels comprise a positive emotion class and a negative emotion class;
under the condition that the emotion labels belong to the negative emotion class, selecting a target fragrance capable of improving the current emotion state from the emotion labels belonging to the positive emotion class in the historical fragrance data by using a first model; the first model is constructed based on the fragrance data and emotion change data after the user uses the fragrance data;
and under the condition that the emotion label belongs to the positive emotion class, selecting a target fragrance which can cater to the current emotion state from the emotion labels belonging to the positive emotion class in the historical fragrance data by using the first model.
5. The method according to any one of claims 1-4, wherein the collecting physiological status information of a target user in a vehicle comprises:
acquiring image information, video information and hot spot area information of a human body of a target user by using a camera and an infrared sensor in the vehicle;
identifying and analyzing the image information, the video information and the hotspot area information to obtain expression information and sign information of the target user, wherein the sign information at least comprises heart rate, blood pressure and blood oxygen concentration;
and taking the expression information and the physical sign information as the physiological state information of the target user.
6. The method of any one of claims 1-5, wherein the external environmental information of the vehicle includes at least a geographic location of the vehicle, an image and video of an environment surrounding the vehicle, a current weather, a current time;
the running state information of the vehicle at least includes speed, acceleration, power consumption information, and vehicle balance state information of the vehicle.
7. A fragrance control apparatus, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring physiological state information of a target user in a vehicle, external environment information of the vehicle and driving state information of the vehicle;
the first emotion tag determination module is used for determining the current emotion state of the target user and an emotion tag corresponding to the current emotion state based on the physiological state information of the target user, the external environment information and the driving state information of the vehicle;
the target fragrance selecting module is used for selecting the target fragrance matched with the emotion label from the historical fragrance data belonging to the target user by using a first model; the historical fragrance data comprises fragrance data collected from the vehicle at each collection time before the current time and emotion labels of the target users at the collection time;
and the target fragrance releasing module is used for releasing the target fragrance on the vehicle.
8. The apparatus of claim 7, further comprising:
the number obtaining module is used for obtaining the number of users in the vehicle by using the camera;
the first determination module is used for determining the only user in the vehicle as a target user under the condition that the number of the users is one;
and the second determining module is used for determining the user triggering the fragrance button of the vehicle as a target user or determining the user positioned on a preset seat as the target user under the condition that the number of the users is multiple.
9. The apparatus of claim 7, further comprising:
the second acquisition module is used for acquiring physiological state information of a normally-seated user in the vehicle, external environment information of the vehicle and driving state information of the vehicle according to a preset period and acquiring fragrance data in the vehicle under the condition that the fragrance is put in the vehicle in a target time period before the current time, wherein the fragrance data at least comprises a fragrance type and a fragrance concentration;
the second emotion tag determination module is used for determining the emotion state of the user at the acquisition moment and an emotion tag corresponding to the emotion state according to the physiological state information of the user at the acquisition moment, the external environment information of the vehicle and the driving state information of the vehicle;
the corresponding relation determining module is used for inputting the fragrance data at each acquisition time and the emotion label of the user at the acquisition time into a second model to obtain the corresponding relation between each emotion label and the fragrance data;
and the storage module is used for storing the corresponding relation between the emotion label and the fragrance data of each user in a cloud end as historical fragrance data.
10. The apparatus of claim 7, wherein the target fragrance selection module is specifically configured to:
determining categories of the emotion labels, wherein the categories of the emotion labels comprise a positive emotion class and a negative emotion class;
under the condition that the emotion labels belong to the negative emotion class, selecting target aroma capable of improving the current emotion state from the emotion labels belonging to the positive emotion class in the historical aroma data by using a first model; the first model is constructed based on the fragrance data and emotion change data after the user uses the fragrance data;
and under the condition that the emotion label belongs to the positive emotion class, selecting a target fragrance which can cater to the current emotion state from the emotion labels belonging to the positive emotion class in the historical fragrance data by using the first model.
11. An electronic device, comprising a processor and a memory having stored therein at least one instruction, at least one program, set of codes, or set of instructions, which is loaded and executed by the processor to implement the fragrance control method of any of claims 1-6.
12. A computer readable storage medium, having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by a processor to implement the fragrance control method of any of claims 1-6.
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| CN202210752651.0A CN115284836A (en) | 2022-06-28 | 2022-06-28 | Fragrance control method and device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115723524A (en) * | 2022-11-24 | 2023-03-03 | 重庆长安汽车股份有限公司 | Control method and system for releasing multifunctional fragrance for automobile, electronic equipment and storage medium |
| CN116712653A (en) * | 2023-04-27 | 2023-09-08 | 深圳市博睿心身医学医疗科技有限公司 | Traditional Chinese medicine modern mind-body medical diagnosis and treatment rehabilitation system based on artificial intelligence |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115723524A (en) * | 2022-11-24 | 2023-03-03 | 重庆长安汽车股份有限公司 | Control method and system for releasing multifunctional fragrance for automobile, electronic equipment and storage medium |
| CN116712653A (en) * | 2023-04-27 | 2023-09-08 | 深圳市博睿心身医学医疗科技有限公司 | Traditional Chinese medicine modern mind-body medical diagnosis and treatment rehabilitation system based on artificial intelligence |
| CN116712653B (en) * | 2023-04-27 | 2024-04-12 | 深圳市博睿心身医学医疗科技有限公司 | Traditional Chinese medicine modern mind-body medical diagnosis and treatment rehabilitation system based on artificial intelligence |
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