CN116595388A - Character recognition system and method - Google Patents
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- CN116595388A CN116595388A CN202310427309.8A CN202310427309A CN116595388A CN 116595388 A CN116595388 A CN 116595388A CN 202310427309 A CN202310427309 A CN 202310427309A CN 116595388 A CN116595388 A CN 116595388A
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- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000004891 communication Methods 0.000 claims abstract description 16
- 238000013480 data collection Methods 0.000 claims abstract description 4
- 230000036541 health Effects 0.000 claims description 71
- 238000001514 detection method Methods 0.000 claims description 24
- 238000010586 diagram Methods 0.000 claims description 21
- 230000007958 sleep Effects 0.000 abstract description 19
- 239000000523 sample Substances 0.000 description 54
- 210000003128 head Anatomy 0.000 description 14
- 230000037396 body weight Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000029058 respiratory gaseous exchange Effects 0.000 description 3
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 2
- 239000012472 biological sample Substances 0.000 description 2
- 239000008280 blood Substances 0.000 description 2
- 210000004369 blood Anatomy 0.000 description 2
- 230000036772 blood pressure Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 229910052760 oxygen Inorganic materials 0.000 description 2
- 239000001301 oxygen Substances 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000004622 sleep time Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 206010062519 Poor quality sleep Diseases 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 210000001061 forehead Anatomy 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 230000036578 sleeping time Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The application discloses a person identification system and a method, wherein the system comprises the following steps: the intelligent mattress comprises an intelligent mattress body, wherein a sleeping area of the intelligent mattress body is provided with a plurality of pressure sensors, and the pressure sensors are used for collecting pressure data of a user to be identified when the user is located on the sleeping area; the cloud platform is in communication connection with the intelligent mattress and is used for receiving the pressure data sent by the intelligent mattress, converting the pressure data into biological characteristic data, comparing the biological characteristic data with prestored biological characteristic sample data and determining the identity information of the user to be identified according to the comparison result. The character recognition system and the character recognition method can effectively avoid the problem that the data collected by the intelligent mattress and the data to be collected do not belong to the same user, avoid generating an error report, effectively improve the accuracy of data collection, simultaneously avoid the user to select the area where the user sleeps in advance, and effectively improve the user experience, and are simple and convenient to operate.
Description
Technical Field
The application relates to the technical field of intelligent mattresses, in particular to a person identification system and a person identification method.
Background
The intelligent mattress is a mattress with special functions, which is manufactured by adopting healthy and high-quality natural raw materials and scientific combination aiming at sleeping habits of people.
Currently, intelligent mattresses mostly have the capability of collecting various physical health data of a user, such as respiration, heartbeat, body movement times, deep and shallow sleep time, and the like, through various sensors, so as to provide a health sleep report for the user. However, since these mattresses can only generally obtain vital sign information of living beings in a fixed area on the mattress, in real life, it is not guaranteed that a user always sleeps in a fixed location, there may be situations where a third party user sleeps in the area, for example, exchanging beds, or changing rooms, etc., so that other people sleep in the fixed area, etc. The inability to corroborate information identifying whether the user in the area is the person the bed wants to collect can result in significant errors in the data collected.
Disclosure of Invention
Accordingly, it is necessary to provide a person recognition system and method for solving the problem that in the prior art, whether the living things in the area are the information of the person to be collected by the bed cannot be recognized, so that the collected data have a great error.
In a first aspect, an embodiment of the present application provides a person identification system, including:
the intelligent mattress is characterized in that a plurality of pressure sensors are arranged on a target sleeping area of the intelligent mattress, and the pressure sensors are used for collecting pressure data of a user to be identified when the user to be identified is located on the target sleeping area;
the cloud platform is in communication connection with the intelligent mattress and is used for receiving the pressure data sent by the intelligent mattress, converting the pressure data into biological characteristic data, comparing the biological characteristic data with prestored biological characteristic sample data and determining the identity information of the user to be identified according to the comparison result.
In an embodiment, the system further comprises:
the user terminal is respectively connected with the intelligent mattress and the cloud platform in a communication way and is used for sending a biological characteristic data acquisition request to the intelligent mattress;
the intelligent mattress is used for collecting sample pressure data according to the biological characteristic sample data collection request, and sending the collected sample pressure data to the cloud platform so that the cloud platform can convert the sample pressure data into biological characteristic sample data and store the biological characteristic sample data.
In one embodiment of the present application, in one embodiment,
the user terminal is further used for sending the comparison result acquisition request to the cloud platform;
and the cloud platform is used for sending the comparison result to the user terminal according to the comparison result acquisition request so as to enable the user terminal to display the comparison result.
In an embodiment, the intelligent mattress is further configured to:
detecting whether the sleeping area currently has the user to be identified;
if yes, the biological characteristic data of the user to be identified in the sleeping area are collected.
In an embodiment, the intelligent mattress is further configured to collect health data of the identified user and send the health data to the cloud platform;
the cloud platform is used for storing the health data into a database corresponding to a preset user when the identified user is the preset user, and generating a health detection report of the preset user;
the cloud platform is further used for judging whether the identified user belongs to a home user associated with the preset user or not when the identified user is not the preset user;
and the cloud platform is also used for storing the health data into a database of the corresponding home user when the identified user belongs to the home user, and generating a health detection report of the home user.
In an embodiment, the biometric data includes physical and/or weight characteristics, the cloud platform is further configured to:
determining a force diagram of the pressure sensor from the pressure data and determining a biometric map of the user from the force diagram;
intercepting the biological sign graph according to a preset rule to acquire body characteristics of different body parts of the user to be identified; and/or
Determining a stress value of each pressure sensor according to the pressure data, and calculating a stress sum;
and determining the weight characteristics of the user to be identified according to the stress sum.
In a second aspect, an embodiment of the present application further provides a person identification method, which is applied to a cloud platform, where the method includes:
receiving pressure data sent by an intelligent mattress when a user to be identified is in a sleeping area;
converting the pressure data into biometric data;
comparing the biological characteristic data with pre-stored biological characteristic sample data to judge whether the user to be identified is a preset user or not;
if yes, acquiring the health data of the user to be identified, storing the health data into a database corresponding to the preset user, and generating a health detection report of the preset user.
In an embodiment, after the determining whether the user to be identified is a preset user, the determining includes:
if not, judging whether the identified user belongs to the home user associated with the preset user;
if yes, the health data are stored in a database of the corresponding home user, and a health detection report of the home user is generated.
In an embodiment, the biometric data comprises physical characteristic data and/or weight data, the converting the pressure data into biometric data comprises:
determining a force diagram of the pressure sensor from the pressure data and determining a biometric map of the user from the force diagram;
intercepting the biological sign graph according to a preset rule to acquire body characteristics of different body parts of the user to be identified; and/or
Determining a stress value of each pressure sensor according to the pressure data, and calculating a stress sum;
and determining the weight characteristics of the user to be identified according to the stress sum.
In an embodiment, the physical characteristics at least include height characteristics, head width characteristics, leg length characteristics, and waist width characteristics, and the comparing the biometric data with pre-stored biometric sample data includes:
respectively comparing the height characteristics, the head width characteristics, the leg length characteristics and the waist width characteristics with the height sample characteristics, the head width sample characteristics, the leg length sample characteristics and the waist width sample characteristics of the preset user one by one to generate a plurality of characteristic comparison similarity;
and when the feature contrast similarity is larger than a preset threshold value, the user to be identified is considered to be the preset user.
In a third aspect, a computer device is provided, comprising a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, the processor implementing the person identification method described above when executing the computer readable instructions.
In a fourth aspect, there is provided a readable storage medium, the computer readable instructions, when executed by one or more processors, cause the one or more processors to perform a person identification method as described above.
The embodiment of the application provides a person identification method and a system, wherein the system comprises the following steps: the intelligent mattress comprises an intelligent mattress body, wherein a sleeping area of the intelligent mattress body is provided with a plurality of pressure sensors, and the pressure sensors are used for collecting pressure data of a user to be identified in the sleeping area; the cloud platform is in communication connection with the intelligent mattress and is used for receiving the pressure data sent by the intelligent mattress, converting the pressure data into biological characteristic data, comparing the biological characteristic data with prestored biological characteristic sample data and determining the identity information of the user to be identified according to the comparison result. The pressure data of the user to be detected when the user is in the intelligent mattress is acquired through the preset pressure sensor in the intelligent mattress, and the pressure data are converted into biological characteristic data to be compared with predicted biological characteristic sample data, so that the identity of the user to be detected is determined, the problem that the acquired health data and the health data which are required to be acquired do not belong to the same user is effectively avoided, an error report is avoided to be generated, the accuracy is effectively improved, the user does not need to select the area where the user sleeps, the operation is simple and convenient, and the user experience is effectively improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments of the present application will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic view of an application environment of a method for identifying a person according to an embodiment of the present application;
FIG. 2 is a schematic diagram of the structure of an intelligent mattress in accordance with one embodiment of the present application;
FIG. 3 is a flow chart of a method for identifying a person according to an embodiment of the application;
FIG. 4 is a second flow chart of a method for identifying a person according to an embodiment of the application;
FIG. 5 is a schematic diagram of a system for identifying a person according to an embodiment of the present application;
FIG. 6 is a schematic diagram of a computer device in accordance with an embodiment of the application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The person identification method provided by the embodiment can be applied to an application environment as shown in fig. 1, wherein the intelligent mattress is in communication connection with the cloud platform, and the user terminal can be respectively in communication connection with the intelligent mattress and the cloud platform. User terminals include, but are not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. The cloud platform may be implemented by a stand-alone server or a server cluster composed of a plurality of servers. The cloud platform and the intelligent mattress can communicate through an MQTT protocol, the cloud platform and the user terminal can communicate through an HTTP protocol, and the user terminal and the intelligent mattress can communicate through Bluetooth.
In an embodiment of the present application, referring to fig. 2, a plurality of pressure sensors are disposed on a sleeping area of the intelligent mattress 1, where the pressure sensors may be arranged in an array, for example, in the sleeping area, the pressure sensors are disposed in a manner of being arranged along a transverse direction and a longitudinal direction, and as an example, the pressure sensors may be disposed on intersecting positions of the transverse and longitudinal intersecting grids, for collecting pressure data of different parts of a user lying on the sleeping area, for example, when the intelligent mattress is a double bed, the intelligent mattress may be divided into left and right sleeping areas, and a plurality of pressure sensors may be disposed on the left and right sleeping areas.
Further, the intelligent mattress 1 is further provided with a communication module, and the communication module can comprise a WIFI module, a Bluetooth module and the like, and can be in remote communication with the cloud platform through the WIFI module, and can be in communication with the user terminal through the Bluetooth module.
Further, the intelligent mattress 1 is further provided with a plurality of health data detection sensors for collecting data such as breathing, heartbeat, sleeping time, blood pressure and blood oxygen of a user.
In an embodiment, as shown in fig. 3, a person identification method is provided, and the method is applied to the cloud platform in fig. 1, and includes the following steps:
in step S110, receiving pressure data sent by the intelligent mattress when the user to be identified is in a sleeping area;
in the embodiment of the application, a plurality of pressure sensors are arranged in advance on the intelligent mattress in a sleeping area, pressure data of the user to be identified in the sleeping area are collected through the pressure sensors, and various health data of the user to be identified are collected through a plurality of health data detection sensors which are arranged in advance on the intelligent mattress.
Wherein the health data includes, but is not limited to, respiration, heartbeat, light sleep time, blood pressure, blood oxygen.
Wherein the pressure data may be a specific pressure value.
Further, different intelligent mattresses may include different numbers of sleep areas, e.g., a twin bed may include left and right sleep areas, and a single bed may include one sleep area. Different sleep areas may be associated with different preset users.
In the embodiment of the application, the intelligent mattress can acquire pressure data after detecting that the user to be detected exists on the current intelligent mattress, or acquire the pressure data once every preset time, for example, 3 hours, 30 minutes and the like, or acquire the pressure data in real time.
In step S120, the pressure data is converted into biometric data;
in embodiments of the application, the biometric data may include physical characteristics and/or weight characteristics. The physical features may include height, head width, leg length, waist width, etc.
In one embodiment of the application, converting the pressure data into biometric data includes:
determining a force diagram of the pressure sensor from the pressure data and determining a biometric map of the user from the force diagram;
intercepting the biological sign graph according to a preset rule to acquire body characteristics of different body parts of the user to be identified; and/or
Determining a stress value of each pressure sensor according to the pressure data, and calculating a stress sum;
and determining the weight characteristics of the user to be identified according to the stress sum.
Specifically, m×n pressure sensors may be disposed in each sleep area of the intelligent mattress, the pressure sensors may be disposed in a matrix and uniformly arranged, and a force diagram of the pressure sensors is determined according to pressure values returned by the sensors, and a human body-like figure formed by pressure, that is, a biological sign diagram, may be depicted through the force diagram. The height characteristics can be obtained by using the biological sign graph, and then different body characteristic parts such as head, legs, waist and the like can be intercepted, so that head width characteristics, waist width characteristics and leg length characteristics are obtained. Meanwhile, the stress sum can be calculated through the stress value of each pressure sensor, and the weight characteristics of the user to be identified are determined according to the stress sum. Thereby realizing the conversion of the pressure data into biological characteristic data.
The physical characteristics and the weight characteristics can be acquired at the same time, or only the physical characteristics or the weight characteristics can be acquired, so that the physical characteristics and the weight characteristics can be acquired at the same time, and the accuracy of the subsequent character recognition can be improved.
In step S130, comparing the biometric data with pre-stored biometric sample data to determine whether the user to be identified is a preset user;
the preset user can be determined according to the sleeping area, it can be understood that different sleeping areas can be bound with corresponding users in advance, taking the intelligent mattress as an example of a multi-person mattress, the intelligent mattress can comprise a plurality of sleeping areas, different sleeping areas can correspond to different users, such as a double mattress, the double mattress can comprise a left sleeping area and a right sleeping area, according to the sleeping area preset by the user or the historical sleeping habit of the user, the user can be bound with the sleeping area, for example, the user A is located in the left sleeping area, the user B is located in the right sleeping area, and therefore when pressure data sent by the intelligent mattress are received, the user bound with the sleeping area can be determined according to the sleeping area where the pressure data are located, namely the preset user.
In the embodiment of the application, after the biological characteristic data of the user to be identified is obtained, the biological characteristic data can be compared with all prestored biological characteristic sample data one by one, the user corresponding to the biological characteristic sample data with the highest similarity is obtained, when the similarity reaches the preset threshold, the user corresponding to the biological characteristic sample data with the highest similarity is considered to be the same user, otherwise, the user is not the same user.
When the user to be identified and the user corresponding to the biometric sample data with the highest similarity are the same user, it can be further determined whether the user corresponding to the biometric sample data with the highest similarity is a preset user, that is, the user bound by the sleep area.
In an embodiment of the present application, the physical characteristics at least include a height characteristic, a head width characteristic, a leg length characteristic, and a waist width characteristic, and the comparing the biometric data with pre-stored biometric sample data includes:
respectively comparing the height characteristics, the head width characteristics, the leg length characteristics and the waist width characteristics with the height sample characteristics, the head width sample characteristics, the leg length sample characteristics and the waist width sample characteristics of the preset user one by one to generate a plurality of characteristic comparison similarity;
and when the feature contrast similarity is larger than a preset threshold value, the user to be identified is considered to be the preset user.
Specifically, after the physical feature is obtained, each feature may be compared with a corresponding predicted feature, for example, the height feature is compared with the height sample feature, the head width feature is compared with the head width sample feature, and the like, until all features are compared, a plurality of feature comparison similarities may be formed, and only if all feature comparison similarities are greater than a preset threshold, the user to be identified may be considered as a preset user.
Further, the body weight characteristic and the body weight sample characteristic may be compared at the same time, that is, the body characteristic and the body weight characteristic have a comparison similarity greater than a preset threshold, for example, 97%, and may be considered as a preset user.
In step S140, if yes, the health data of the user to be identified is obtained, the health data is stored in a database corresponding to the preset user, and a health detection report of the preset user is generated.
In the embodiment of the application, when the user to be identified is determined to be the preset user, a request for acquiring the health data of the user to be identified can be sent to the intelligent mattress, at this time, the intelligent mattress can start a preset health data detection sensor, acquire the health data of the user to be identified, store the acquired health data into a database corresponding to the preset user, and generate a health detection report of the preset user. Therefore, the problem that whether the user in the sleep area is the user needing health data acquisition or not cannot be determined, and the acquired data are uniformly classified on the user bound with the sleep area, so that an error health data report is generated is avoided, and the accuracy of health detection can be effectively improved.
Referring to fig. 4, in an embodiment of the present application, step S130, after determining whether the user to be identified is a preset user, includes:
if not, step S150 is carried out, and whether the identified user belongs to the home user associated with the preset user is judged;
if yes, step S160 is entered, the health data are stored in a corresponding database of the home user, and a health detection report of the home user is generated;
if not, ending the flow.
In particular, it will be appreciated that there will be a lot of biometric sample data in the cloud platform, so if all of the biometric sample data are compared when they are compared, a lot of time is required, and therefore, the storing of the biometric sample data in groups can be done at home, i.e. after the pressure data is obtained, the pressure data may include an identification of the intelligent mattress, for example, a number. And determining the family group corresponding to the intelligent mattress according to the identification, and comparing the pressure data with the biological characteristic sample data of each family member in the family group one by one. When the comparison is successful, if the comparison is successful, the user of the family does not belong to the preset user, the identity of the user which is successful in comparison, such as a child, can be further determined, at the moment, a user health data acquisition request to be identified can be sent to the intelligent mattress, the intelligent mattress can start a preset health data detection sensor, acquire the health data of the user to be identified, store the acquired health data into a database corresponding to the child, and generate a health detection report of the child. If the child is not in the preset family member database, the collected pressure data is discarded.
Further, when the comparison fails, that is, the user to be identified does not belong to the family member, possibly belongs to a third party user, the collected pressure data is discarded, and no subsequent processing is performed.
The embodiment of the application provides a person identification method and a system, wherein the system comprises the following steps: the intelligent mattress comprises an intelligent mattress body, wherein a sleeping area of the intelligent mattress body is provided with a plurality of pressure sensors, and the pressure sensors are used for collecting pressure data of a user to be identified when the user is located on the sleeping area; the cloud platform is in communication connection with the intelligent mattress and is used for receiving the pressure data sent by the intelligent mattress, converting the pressure data into biological characteristic data, comparing the biological characteristic data with prestored biological characteristic sample data and determining the identity information of the user to be identified according to the comparison result. The pressure data of the user to be detected when the user is in the intelligent mattress is acquired through the preset pressure sensor in the intelligent mattress, and the pressure data are converted into biological characteristic data to be compared with predicted biological characteristic sample data, so that the identity of the user to be detected is determined, the problem that the acquired health data and the health data which are required to be acquired do not belong to the same user is effectively avoided, an error report is avoided to be generated, the accuracy is effectively improved, the user does not need to select the area where the user sleeps, the operation is simple and convenient, and the user experience is effectively improved.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present application.
In one embodiment, a person identification system is provided, as shown in fig. 5, comprising an intelligent mattress 1 and a cloud platform 2. The functional modules are described in detail as follows:
the intelligent mattress 1 is characterized in that a plurality of pressure sensors 11 are arranged on a sleeping area of the intelligent mattress 1, and the pressure sensors 11 are used for collecting pressure data when a user to be identified is located on the sleeping area;
and the cloud platform 2 is in communication connection with the intelligent mattress, and is used for receiving the pressure data sent by the intelligent mattress, converting the pressure data into biological characteristic data, comparing the biological characteristic data with prestored biological characteristic sample data, and determining the identity information of the user to be identified according to the comparison result.
In an embodiment, the system further comprises:
the user terminal 3 is respectively in communication connection with the intelligent mattress 1 and the cloud platform 2 and is used for sending a biological characteristic data acquisition request to the intelligent mattress;
the intelligent mattress 1 is used for collecting sample pressure data according to the biological characteristic sample data collection request, and sending the collected sample pressure data to the cloud platform 2, so that the cloud platform 2 converts the sample pressure data into biological characteristic sample data and stores the biological characteristic sample data.
In the embodiment of the application, an intelligent mattress APP can be pre-installed in the user terminal 3 and used for establishing communication connection with the intelligent mattress 1, when a user uses the intelligent mattress 1, a biological characteristic sample data acquisition request can be sent to the intelligent mattress 1 through the APP, the intelligent mattress 1 acquires sample pressure data of a sleeping area of the intelligent mattress 1 in real time according to the acquisition request and sends the sample pressure data to the cloud platform 2, the cloud platform 2 can draw a figure of a human body like formed by pressure according to pressure values returned by each pressure sensor 11, then the height sample characteristic of the user can be obtained according to the figure, then the figure is intercepted by each body part, and head width sample characteristics, waist width sample characteristics, leg length sample characteristics and the like are obtained. And simultaneously calculating the total pressure according to the pressure values of the pressure sensors so as to obtain the characteristics of the weight sample. And stored in a database of biometric sample data corresponding to the user for use as a comparison sample.
In an embodiment, the user terminal 3 is further configured to send the comparison result obtaining request to the cloud platform 2;
the cloud platform 2 is configured to send the comparison result to the user terminal 3 according to the comparison result obtaining request, so that the user terminal 3 displays the comparison result.
In the embodiment of the present application, the user terminal 3 is further configured to obtain a comparison result from the cloud platform 2, and display the comparison result on a display screen of the user terminal 3 for a user to view.
In an embodiment, the intelligent mattress 1 is further configured to:
detecting whether the sleeping area currently has the user to be identified;
and if yes, collecting pressure data of the user to be identified in the sleeping area.
In the embodiment of the application, in order to avoid the pressure sensor from detecting that no user exists in the sleeping area, the acquisition of the pressure data fails, so that the acquisition of the pressure data can be performed when the user to be identified exists in the sleeping area.
Whether the user to be identified exists in the sleeping area or not can be determined through presetting of the forehead infrared sensor or data change of the pressure sensor.
In an embodiment, the intelligent mattress 1 is further configured to collect health data of the identified user and send the health data to the cloud platform 2;
the cloud platform 2 is configured to store the health data into a database corresponding to a preset user when the identified user is the preset user, and generate a health detection report of the preset user;
the cloud platform 2 is further configured to determine whether the identified user belongs to a home user associated with the preset user when the identified user is not the preset user;
the cloud platform 2 is further configured to store the health data into a database of a corresponding home user when the identified user belongs to the home user, and generate a health detection report of the home user.
In an embodiment of the present application, when the user to be identified is determined to be a preset user, a request for acquiring health data of the user to be identified may be sent to the intelligent mattress, and at this time, the intelligent mattress may start a preset health data detection sensor, acquire health data of the user to be identified, store the acquired health data in a database corresponding to the preset user, and generate a health detection report of the preset user. Therefore, the problem that whether the user in the sleep area is the user needing health data acquisition or not cannot be determined, and the acquired data are uniformly classified on the user bound with the sleep area, so that an error health data report is generated is avoided, and the accuracy of health detection can be effectively improved.
In an embodiment of the present application, since many biological sample data exist in the cloud platform, a lot of time is required for comparison, so that the biological sample data can be stored in groups in a home, and it can be understood that after the pressure data is obtained, the pressure data can include an identifier, such as a number, of the intelligent mattress. And determining a family group corresponding to the intelligent mattress according to the identification, and comparing the pressure data with biological characteristic sample data of each family member in the family group one by one. When the comparison is successful, but the user identity is not the preset user, the user identity is further determined, for example, a child, and at the moment, a user health data acquisition request to be identified can be sent to the intelligent mattress, the intelligent mattress can start a preset health data detection sensor, acquire the health data of the user to be identified, store the acquired health data into a database corresponding to the child, and generate a health detection report of the child. If the child is not in the preset family member database, the collected pressure data is discarded.
In an embodiment, the biometric data comprises physical and/or weight characteristics, and the cloud platform 2 is further configured to:
determining a force diagram of the pressure sensor from the pressure data and determining a biometric map of the user from the force diagram;
intercepting the biological sign graph according to a preset rule to acquire body characteristics of different body parts of the user to be identified; and/or
Determining a stress value of each pressure sensor according to the pressure data, and calculating a stress sum;
and determining the weight characteristics of the user to be identified according to the stress sum.
In the embodiment of the application, m×n pressure sensors can be arranged in each sleep area of the intelligent mattress, and a pressure diagram of the pressure sensors is determined according to pressure values returned by the sensors, and a human-like figure formed by pressure, namely a biological sign diagram, can be drawn through the pressure diagram. The height characteristics can be obtained by using the biological sign graph, and then different body characteristic parts such as head, legs, waist and the like can be intercepted, so that head width characteristics, waist width characteristics and leg length characteristics are obtained. Meanwhile, the stress sum can be calculated through the stress value of each pressure sensor, and the weight characteristics of the user to be identified are determined according to the stress sum. Thereby realizing the conversion of the pressure data into biological characteristic data.
The physical characteristics and the weight characteristics can be acquired simultaneously, or only the physical characteristics or the weight characteristics can be acquired, so that the physical characteristics and the weight characteristics can be acquired simultaneously, and the accuracy of the subsequent character recognition can be improved.
In the embodiment of the application, the pressure data of the user to be detected when the user is in the intelligent mattress is acquired through the preset pressure sensor in the intelligent mattress, and the pressure data is converted into the biological characteristic data to be compared with the predicted biological characteristic sample data, so that the identity of the user to be detected is determined, the problem that the acquired health data and the health data which are required to be acquired do not belong to the same user can be effectively avoided, an error report is avoided being generated, the accuracy can be effectively improved, the user does not need to select which area to sleep, the operation is simple and convenient, and the user experience can be effectively improved.
Specific limitations regarding the person identification system may be found in the above-mentioned limitations, and will not be described in detail herein. The individual modules in the person recognition method described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a cloud platform, and the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a readable storage medium, an internal memory. The readable storage medium stores an operating system, computer readable instructions, and a database. The internal memory provides an environment for the execution of an operating system and computer-readable instructions in a readable storage medium. The database of the computer device is used for storing data related to the person identification method. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer readable instructions when executed by a processor implement a person identification method. The readable storage medium provided by the present embodiment includes a nonvolatile readable storage medium and a volatile readable storage medium.
In one embodiment, a computer device is provided that includes a memory, a processor, and computer readable instructions stored in the memory and executable on the processor that when executed implement the person identification method described above.
In one embodiment, a readable storage medium is provided, which when executed by one or more processors, causes the one or more processors to perform a person identification method as described above. Those skilled in the art will appreciate that implementing all or part of the above described embodiment methods may be accomplished by instructing the associated hardware by computer readable instructions stored on a non-volatile readable storage medium or a volatile readable storage medium, which when executed may comprise the above described embodiment methods. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), direct memory bus dynamic RAM (DRDRAM), and the like.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (10)
1. A person identification system, the system comprising:
the intelligent mattress comprises an intelligent mattress body, wherein a sleeping area of the intelligent mattress body is provided with a plurality of pressure sensors, and the pressure sensors are used for collecting pressure data of a user to be identified in the sleeping area;
the cloud platform is in communication connection with the intelligent mattress and is used for receiving the pressure data sent by the intelligent mattress, converting the pressure data into biological characteristic data, comparing the biological characteristic data with prestored biological characteristic sample data and determining the identity information of the user to be identified according to the comparison result.
2. The person identification system of claim 1, wherein the system further comprises:
the user terminal is respectively in communication connection with the intelligent mattress and the cloud platform and is used for sending a biological characteristic sample data acquisition request to the intelligent mattress;
the intelligent mattress is used for collecting sample pressure data according to the biological characteristic sample data collection request, and sending the collected sample pressure data to the cloud platform so that the cloud platform can convert the sample pressure data into biological characteristic sample data and store the biological characteristic sample data.
3. The person identification system of claim 2, wherein,
the user terminal is further used for sending the comparison result acquisition request to the cloud platform;
and the cloud platform is used for sending the comparison result to the user terminal according to the comparison result acquisition request so as to enable the user terminal to display the comparison result.
4. The person identification system of claim 1, wherein the intelligent mattress is further configured to:
detecting whether the sleeping area currently has the user to be identified;
if yes, the biological characteristic data of the user to be identified in the sleeping area are collected.
5. The person identification system of claim 1, wherein,
the intelligent mattress is also used for collecting health data of the identified user and sending the health data to the cloud platform;
the cloud platform is used for storing the health data into a database corresponding to a preset user when the identified user is the preset user, and generating a health detection report of the preset user;
the cloud platform is further used for judging whether the identified user belongs to a home user associated with the preset user or not when the identified user is not the preset user;
and the cloud platform is also used for storing the health data into a database of the corresponding home user when the identified user belongs to the home user, and generating a health detection report of the home user.
6. The person identification system of claim 1, wherein the biometric data includes physical and/or weight characteristics, the cloud platform further to:
determining a force diagram of the pressure sensor from the pressure data and determining a biometric map of the user from the force diagram;
intercepting the biological sign graph according to a preset rule to acquire body characteristics of different body parts of the user to be identified; and/or
Determining a stress value of each pressure sensor according to the pressure data, and calculating a stress sum;
and determining the weight characteristics of the user to be identified according to the stress sum.
7. A person identification method, applied to a cloud platform, comprising:
receiving pressure data sent by an intelligent mattress when a user to be identified is in a sleeping area;
converting the pressure data into biometric data;
comparing the biological characteristic data with pre-stored biological characteristic sample data to judge whether the user to be identified is a preset user or not;
if yes, acquiring the health data of the user to be identified, storing the health data into a database corresponding to the preset user, and generating a health detection report of the preset user.
8. The person identification method as claimed in claim 7, wherein after the determining whether the user to be identified is a preset user, comprising:
if not, judging whether the identified user belongs to the home user associated with the preset user;
if yes, the health data are stored in a database of the corresponding home user, and a health detection report of the home user is generated.
9. The person identification method as claimed in claim 7, wherein the biometric data includes physical characteristic data and/or weight data, the converting the stress data into biometric data includes:
determining a force diagram of the pressure sensor from the pressure data and determining a biometric map of the user from the force diagram;
intercepting the biological sign graph according to a preset rule to acquire body characteristics of different body parts of the user to be identified; and/or
Determining a stress value of each pressure sensor according to the pressure data, and calculating a stress sum;
and determining the weight characteristics of the user to be identified according to the stress sum.
10. The person identification method of claim 9, wherein the physical characteristics include at least a height characteristic, a head width characteristic, a leg length characteristic, and a waist width characteristic, and the comparing the biometric data with pre-stored biometric sample data includes:
respectively comparing the height characteristics, the head width characteristics, the leg length characteristics and the waist width characteristics with the height sample characteristics, the head width sample characteristics, the leg length sample characteristics and the waist width sample characteristics of the preset user one by one to generate a plurality of characteristic comparison similarity;
and when the feature contrast similarity is larger than a preset threshold value, the user to be identified is considered to be the preset user.
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