CN111798978A

CN111798978A - User health assessment method and device, storage medium and electronic equipment

Info

Publication number: CN111798978A
Application number: CN201910282445.6A
Authority: CN
Inventors: 何明; 陈仲铭; 黄粟; 刘耀勇; 陈岩
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2019-04-09
Filing date: 2019-04-09
Publication date: 2020-10-20
Also published as: WO2020207317A1

Abstract

The application discloses a user health assessment method, which comprises the following steps: the method comprises the steps of obtaining characteristic information of the electronic equipment in multiple dimensions, generating health indexes of a user in the multiple dimensions according to the characteristic information, classifying the health indexes through a preset algorithm to obtain corresponding health grades, and generating health evaluation information according to the health grades and the health indexes of the user. The application also provides a user health assessment device, a storage medium and an electronic device.

Description

User health assessment method and device, storage medium and electronic equipment

Technical Field

The present application belongs to the technical field of electronic devices, and in particular, to a method and an apparatus for evaluating user health, a storage medium, and an electronic device.

Background

With the development of electronic technology and the increase of health consciousness, more and more people like monitoring the self motion condition and health condition by using wearable devices (such as a motion bracelet, a smart watch, glasses, clothes, shoes and the like) with motion health monitoring functions. In the existing mode, a method for estimating the health condition of a user by using a data model exists, but the health model is obtained based on relatively complete health data of the user, so that the accuracy of an estimation result is influenced by the integrity of data provided by the user during health estimation.

Disclosure of Invention

The application provides a user health assessment method, a user health assessment device, a storage medium and electronic equipment, which can improve the accuracy of the electronic equipment in user health assessment.

In a first aspect, an embodiment of the present application provides a user health assessment method, including:

acquiring characteristic information of electronic equipment in multiple dimensions, and generating health indexes of a user in the multiple dimensions according to the characteristic information;

constructing a user health assessment level, wherein the user health assessment level comprises a plurality of health levels;

classifying the health indexes through a preset algorithm to obtain corresponding health grades;

and generating health evaluation information according to the health grade and the health index, and displaying the health evaluation information to an electronic equipment screen.

In a second aspect, an embodiment of the present application provides a user health assessment apparatus, including: the system comprises a generation module, a construction module, a classification module and an evaluation module;

the generating module is used for acquiring characteristic information of the electronic equipment in multiple dimensions and generating health indexes of the user in the multiple dimensions according to the characteristic information;

the building module is used for building user health evaluation levels, and the user health evaluation levels comprise a plurality of health levels;

the classification module is used for classifying the health indexes through a preset algorithm to obtain corresponding health grades;

and the evaluation module is used for generating health evaluation information according to the health grade and the health index and displaying the health evaluation information to an electronic equipment screen.

In a third aspect, an embodiment of the present application provides a storage medium, on which a computer program is stored, and when the computer program runs on a computer, the computer is caused to execute the user health assessment method described above.

In a fourth aspect, an embodiment of the present application provides an electronic device, including a processor and a memory, where the memory stores a plurality of instructions, and the processor loads the instructions in the memory to perform the following steps:

The user health assessment method provided by the embodiment of the application can acquire the characteristic information of the electronic equipment in multiple dimensions, generate the health indexes of the user in multiple dimensions according to the characteristic information, establish the user health assessment level, classify the multi-dimensional health indexes through a preset algorithm to obtain the corresponding health grade, generate the health assessment information according to the health grade and the health index, and display the health assessment information to the screen of the electronic equipment. According to the embodiment of the application, the health information of the user can be generated according to the characteristic information of the electronic equipment, so that the health grade of the user is determined, the health condition of the user is evaluated, and the accuracy of the health evaluation of the user is improved by utilizing the multi-aspect panoramic information of the user.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a schematic view of an application scenario of a user health assessment method according to an embodiment of the present application.

Fig. 2 is a schematic flow chart of a user health assessment method according to an embodiment of the present disclosure.

Fig. 3 is another schematic flow chart of a user health assessment method according to an embodiment of the present application.

Fig. 4 is a schematic structural diagram of a user health assessment apparatus according to an embodiment of the present application.

Fig. 5 is another schematic structural diagram of a user health assessment apparatus according to an embodiment of the present application.

Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Fig. 7 is another schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

Referring to the drawings, wherein like reference numbers refer to like elements, the principles of the present application are illustrated as being implemented in a suitable computing environment. The following description is based on illustrated embodiments of the application and should not be taken as limiting the application with respect to other embodiments that are not detailed herein.

In the description that follows, specific embodiments of the present application will be described with reference to steps and symbols executed by one or more computers, unless otherwise indicated. Accordingly, these steps and operations will be referred to, several times, as being performed by a computer, the computer performing operations involving a processing unit of the computer in electronic signals representing data in a structured form. This operation transforms the data or maintains it at locations in the computer's memory system, which may be reconfigured or otherwise altered in a manner well known to those skilled in the art. The data maintains a data structure that is a physical location of the memory that has particular characteristics defined by the data format. However, while the principles of the application have been described in language specific to above, it is not intended to be limited to the specific form set forth herein, and it will be recognized by those of ordinary skill in the art that various of the steps and operations described below may be implemented in hardware.

The terms "first", "second", and "third", etc. in this application are used to distinguish between different objects and not to describe a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to only those steps or modules listed, but rather, some embodiments may include other steps or modules not listed or inherent to such process, method, article, or apparatus.

In the prior art, as the mobile phone is more and more closely connected with the user, the health status of the user can be evaluated in real time through the related information of the mobile phone. However, the information used in the existing evaluation of the health status of the user is limited, and the health status of the user cannot be accurately evaluated.

According to the technical scheme, a multi-dimensional user health index system is established by comprehensively utilizing personal related information of the user, mainly comprises a sleep index, a game index, an application program index, a visual health index and the like, so that the health state of the user can be more accurately evaluated, further, targeted health evaluation can be provided for the user, a specific health evaluation report can be given, and the user can be facilitated to pertinently adjust own behaviors and states, such as improving sleep habits, application program using habits and the like.

Referring to fig. 1, fig. 1 is a schematic view of an application scenario of a user health assessment method according to an embodiment of the present application. The user health assessment method is applied to electronic equipment. A panoramic perception framework is arranged in the electronic equipment. The panoramic perception architecture is an integration of hardware and software used for realizing the user health assessment method in electronic equipment.

The panoramic perception architecture comprises an information perception layer, a data processing layer, a feature extraction layer, a scene modeling layer and an intelligent service layer.

The information perception layer is used for acquiring information of the electronic equipment or information in an external environment. The information-perceiving layer may include a plurality of sensors. For example, the information sensing layer includes a plurality of sensors such as a distance sensor, a magnetic field sensor, a light sensor, an acceleration sensor, a fingerprint sensor, a hall sensor, a position sensor, a gyroscope, an inertial sensor, an attitude sensor, a barometer, and a heart rate sensor.

Among other things, a distance sensor may be used to detect a distance between the electronic device and an external object. The magnetic field sensor may be used to detect magnetic field information of the environment in which the electronic device is located. The light sensor can be used for detecting light information of the environment where the electronic equipment is located. The acceleration sensor may be used to detect acceleration data of the electronic device. The fingerprint sensor may be used to collect fingerprint information of a user. The Hall sensor is a magnetic field sensor manufactured according to the Hall effect, and can be used for realizing automatic control of electronic equipment. The location sensor may be used to detect the geographic location where the electronic device is currently located. Gyroscopes may be used to detect angular velocity of an electronic device in various directions. Inertial sensors may be used to detect motion data of an electronic device. The gesture sensor may be used to sense gesture information of the electronic device. A barometer may be used to detect the barometric pressure of the environment in which the electronic device is located. The heart rate sensor may be used to detect heart rate information of the user.

And the data processing layer is used for processing the data acquired by the information perception layer. For example, the data processing layer may perform data cleaning, data integration, data transformation, data reduction, and the like on the data acquired by the information sensing layer.

The data cleaning refers to cleaning a large amount of data acquired by the information sensing layer to remove invalid data and repeated data. The data integration refers to integrating a plurality of single-dimensional data acquired by the information perception layer into a higher or more abstract dimension so as to comprehensively process the data of the plurality of single dimensions. The data transformation refers to performing data type conversion or format conversion on the data acquired by the information sensing layer so that the transformed data can meet the processing requirement. The data reduction means that the data volume is reduced to the maximum extent on the premise of keeping the original appearance of the data as much as possible.

The characteristic extraction layer is used for extracting characteristics of the data processed by the data processing layer so as to extract the characteristics included in the data. The extracted features may reflect the state of the electronic device itself or the state of the user or the environmental state of the environment in which the electronic device is located, etc.

The feature extraction layer may extract features or process the extracted features by a method such as a filtering method, a packing method, or an integration method.

The filtering method is to filter the extracted features to remove redundant feature data. Packaging methods are used to screen the extracted features. The integration method is to integrate a plurality of feature extraction methods together to construct a more efficient and more accurate feature extraction method for extracting features.

The scene modeling layer is used for building a model according to the features extracted by the feature extraction layer, and the obtained model can be used for representing the state of the electronic equipment, the state of a user, the environment state and the like. For example, the scenario modeling layer may construct a key value model, a pattern identification model, a graph model, an entity relation model, an object-oriented model, and the like according to the features extracted by the feature extraction layer.

The intelligent service layer is used for providing intelligent services for the user according to the model constructed by the scene modeling layer. For example, the intelligent service layer can provide basic application services for users, perform system intelligent optimization for electronic equipment, and provide personalized intelligent services for users.

In addition, the panoramic perception architecture can further comprise a plurality of algorithms, each algorithm can be used for analyzing and processing data, and the plurality of algorithms can form an algorithm library. For example, the algorithm library may include algorithms such as a markov algorithm, a hidden dirichlet distribution algorithm, a bayesian classification algorithm, a support vector machine, a K-means clustering algorithm, a K-nearest neighbor classification algorithm, a conditional random field, a residual error network, a long-short term memory network, a convolutional neural network, and a cyclic neural network.

An execution subject of the user health assessment method may be the user health assessment apparatus provided in the embodiment of the present application, or an electronic device integrated with the user health assessment apparatus, where the user health assessment apparatus may be implemented in a hardware or software manner.

Embodiments of the present application will be described in terms of a user health assessment apparatus, which may be specifically integrated in an electronic device. The user health assessment method comprises the following steps: acquiring multi-dimensional characteristic information of electronic equipment, and generating a multi-dimensional health index of a user according to the multi-dimensional characteristic information;

and generating health evaluation information according to the health grade and the health index of the user, and displaying the health evaluation information to an electronic equipment screen.

In one embodiment, the health index includes a sleep index, and the acquiring feature information of the electronic device in multiple dimensions and generating the health index of the user in multiple dimensions according to the feature information includes:

monitoring the sleep state of a user and recording the sleep duration according to the sleep state;

and generating the sleep finger of the user according to the sleep duration.

In one embodiment, generating the sleep index of the user according to the sleep duration includes:

acquiring action information of a user, and dividing the sleep time into shallow sleep time and deep sleep time according to the action information;

and generating the sleep index of the user according to the shallow sleep time length and the deep sleep time length.

In one embodiment, the health index includes an emotion index and a disease index, acquiring feature information of the electronic device in multiple dimensions, and generating the health index of the user in the multiple dimensions according to the feature information, including:

acquiring a user image;

processing the user image according to the convolutional neural network model to obtain expression information and face color information of the user;

and generating an emotion index of the user according to the expression information, and generating a disease index of the user according to the face color information.

In one embodiment, generating health assessment information according to the health level and the multidimensional health index of the user and displaying the health assessment information to an electronic device screen comprises:

generating a dynamic virtual image according to the health grade and displaying the dynamic virtual image to the screen of the electronic equipment;

and receiving touch operation of a user aiming at the dynamic virtual image, and displaying the multidimensional health index of the user according to the touch operation.

In one embodiment, after displaying the health index of the user according to the touch operation, the method further comprises:

selecting abnormal health indexes which do not meet a preset index interval from the health indexes;

and generating prompt information according to the abnormal health index and displaying the prompt information to the screen of the electronic equipment.

In an embodiment, the predetermined algorithm is a K nearest neighbor classification algorithm.

Referring to fig. 2, fig. 2 is a schematic flow chart illustrating a user health assessment method according to an embodiment of the present disclosure. The user health assessment method provided by the embodiment of the application is applied to electronic equipment, and the specific flow can be as follows:

step 101, obtaining characteristic information of the electronic equipment in multiple dimensions, and generating health indexes of the user in the multiple dimensions according to the characteristic information.

In an embodiment, the electronic device obtains a plurality of pieces of characteristic information related to the health of the user through an information sensing layer of a panoramic sensing framework, such as setting information of the electronic device, application program use information, sensor data and the like, and generates a corresponding multi-dimensional user health index according to the plurality of pieces of characteristic information to obtain a health index system of the user.

For example, a user sleep index may be generated based on the user alarm clock time in the panoramic sensing module, wherein the longer the user sleep duration, the higher the corresponding sleep index; generating an eye use index of the user based on the using time of the screen of the user, wherein the longer the using time of the screen is, the higher the eye use index is; generating a game index based on the use duration of the game application program, wherein the game application program is firstly determined, the use duration of the game application program is then respectively obtained, the total game duration is calculated, and the longer the game duration is, the higher the game index is; generating a user activity index based on the user step number data, wherein the step number of the user can be obtained according to a pedometer in the electronic equipment, and the activity index is higher when the step number is more; constructing a user nutritional index based on the user diet application program data, wherein the daily diet composition of the user can be simply constructed by a menu viewed when the user uses the diet application program and recorded diet data, namely the nutritional index of the user is generated; based on the user picture, such as a self-portrait image of the user, facial feature recognition is performed, the current emotion and face color of the user are recognized, and the emotion index and disease index of the user are built up today. Furthermore, a health index system of the user can be formed according to the obtained sleep index, the eye using index, the game index, the activity index, the nutrition index, the emotion index and the disease index.

Step 102, building a user health assessment level, wherein the user health assessment level comprises a plurality of health levels.

In one embodiment, the health level may be 5, such as 5 levels including excellent, good, medium, poor and very poor. In other embodiments, the health levels may be further categorized according to numbers, such as a first health level, a second health level, a third health level, a fourth health level, and a fifth health level, wherein a higher level indicates a healthier user, i.e., the fifth health level indicates a healthier user, and the first health level indicates a healthiest user.

And 103, classifying the health indexes through a preset algorithm to obtain corresponding health grades.

In an embodiment, the health index system constructed in step 101 is classified into corresponding health grades through a preset classification algorithm, that is, the current health grade of the user is predicted by the electronic device according to most health indexes of the user. In one embodiment, the predetermined algorithm may be a K-nearest neighbor (KNN) algorithm. Wherein KNN is classified by measuring the distance between different characteristic values. The idea is as follows: a sample belongs to a class if the majority of the K most similar samples in feature space (i.e. the nearest neighbors in feature space) belong to this class, where K is typically an integer no greater than 20. In the KNN algorithm, the selected neighbors are all objects that have been correctly classified. The method only determines the category of the sample to be classified according to the category of the nearest sample or a plurality of samples in the classification decision.

And 104, generating health evaluation information according to the health grade and the health index, and displaying the health evaluation information to a screen of the electronic equipment.

In one embodiment, the health assessment report may be generated once a day, for example, a multi-dimensional health index of the user in a day is obtained, then the health grade of the day is determined, health assessment information is generated according to the health grade of the day and the multi-dimensional health index, the health assessment information is pushed and displayed to the user, and the health assessment grade of the day and the specific health index can be visually seen by the user.

In an embodiment, the electronic device may further preset a standard value of the multi-dimensional health index, compare the multi-dimensional health index with the preset standard value when the health level is lower than a preset level, and generate a targeted prompt message according to a comparison result to improve the living habits of the user, so that the electronic device becomes a health assistant in the life of people, assists the user in health management, guides the user to form a healthy living habit, and helps to comprehensively and effectively improve the health status of the user.

Further, the multidimensional health index of the user generated at preset time intervals can be stored to establish a database, and the habit of the user is determined according to the database, for example, if the daily activity index of the user is higher in a period of time, it indicates that the user exercises frequently in the period of time, or if the daily game index of the user is higher in a period of time, it indicates that the user likes playing games in the period of time, and the like. According to the user habit, the prompt information can be further improved, and the prompt information is more scientific, reasonable and healthy to push.

In an embodiment, before the health index of the user is generated, basic physical condition information of the user may be obtained, and then the multidimensional health index of the user may be generated according to the physical condition information and the multidimensional feature information of the electronic device, so that the accuracy of the generated health index may be further improved. Wherein the basic physical condition information of the user may include: age, height, weight, blood type, hobbies, etc. For example, the activity index is generated according to the number of steps counted by the pedometer and the height and weight information of the user.

As can be seen from the above, the user health assessment method provided by the embodiment of the application can acquire feature information of electronic equipment in multiple dimensions, generate health indexes of a user in the multiple dimensions according to the feature information, construct a user health assessment level, the user health assessment level includes multiple health levels, classify the multiple health indexes through a preset algorithm to obtain corresponding health levels, generate health assessment information according to the health levels and the health indexes, and display the health assessment information to an electronic equipment screen. According to the embodiment of the application, the health information of the user in multiple dimensions can be generated according to the characteristic information of the electronic equipment in multiple dimensions, so that the health level of the user is determined, the health condition of the user is evaluated, and the accuracy of the health evaluation of the user is improved by utilizing the multi-aspect panoramic information of the user.

The cleaning method of the present application will be further described below on the basis of the method described in the above embodiment. Referring to fig. 3, fig. 3 is another schematic flow chart of a user health assessment method according to an embodiment of the present application, where the user health assessment method includes:

step 201, obtaining characteristic information of the electronic device in multiple dimensions, and generating health indexes of the user in the multiple dimensions according to the characteristic information.

For example, the health index of the user may include a sleep index, an eye use index, a game index, an activity index, a nutrition index, an emotion index, a disease index, and the like. Furthermore, a health index system of the user can be formed according to the obtained sleep index, the eye using index, the game index, the activity index, the nutrition index, the emotion index and the disease index.

In an embodiment, the sleep index may be generated by monitoring a sleep state of a user, recording a sleep duration according to the sleep state, and then generating the sleep index of the user according to the sleep duration, for example, the longer the sleep duration, the higher the sleep index. The sleep state may include a sleep state and a non-sleep state, and specifically, the electronic device may detect motion information of a user and distinguish the sleep state from the non-sleep state according to the motion information.

Furthermore, the sleep state can be further divided into a shallow sleep state and a deep sleep state, and then the sleep index of the user is generated according to the shallow sleep time length and the deep sleep time length, so that the accuracy is further improved. The action information of the user can be acquired through intelligent wearable equipment (such as an intelligent bracelet) associated with the electronic equipment. For example, a body motion sensor is arranged on the intelligent wearable device, the body motion sensor can be arranged on one side of the shell, which is in contact with the wrist, and the body motion sensor can be called as a body motion recorder and used for measuring the sleep quality of the user according to the motion amplitude and the motion frequency of the wrist. The body motion sensor can monitor the micro-motion of the wrist, and further judge whether the user is in a waking state or a shallow sleep state or a deep sleep state. Specifically, the sleep monitoring may be implemented by monitoring the wrist movement of the person through a body movement sensor, and performing an accumulative calculation through a preset calculation manner, such as recording a total value every 2 minutes, and determining the sleep state by combining the movement information. For example, a person sleeping deeply will have relaxed muscles and the limbs will not move much or even move, while a person sleeping shallowly will have some slight movement. The motion state of the wrist is monitored through the body motion sensor, so that the current sleep state of the user is determined. That is, generating the sleep index of the user according to the sleep duration includes:

In an embodiment, the calculation of the emotion index and the disease index may include:

acquiring a user image;

Specifically, after the image is obtained, the image may include a face area to be recognized, and may also include a background or other objects. The face detection is carried out on the image to be recognized, so that the face area in the image to be recognized can be determined, and then the face area is intercepted from the image to be recognized. According to different contents of the images to be recognized, the intercepted face regions are different in shape and size, so that normalization processing can be further performed on the intercepted face regions, images of the intercepted face regions of different sizes are normalized to be suitable for the sizes of the convolutional neural network models obtained through pre-training, and then processing is performed to obtain expression information and face color information.

In an embodiment, since the expressions of the user are generally instantaneous, in order to further improve the accuracy of expression recognition, the user images may be acquired multiple times at preset intervals, the expression information in the user images may be recognized multiple times, and the expression information of the user may be determined after integration, for example, the final expression information may be determined according to the appearance ratios of different expressions. Therefore, the situation that the expression of the user at a certain moment is recorded by the electronic equipment to cause recognition deviation can be avoided. Furthermore, the face color information may also be affected by the current environment, so that the face color information identified by the current image sensor is not the real face color information of the user, in order to further improve the accuracy of the face color information identification, this embodiment may further acquire the ambient light information in the user image, then correct the user image according to the ambient light information, and process the corrected image by using the convolutional neural network model to obtain the face color information, thereby improving the accuracy of data processing.

Step 202, building a user health assessment level, wherein the user health assessment level comprises a plurality of health levels.

And 203, classifying the multi-dimensional health indexes through a K nearest neighbor classification algorithm to obtain corresponding health grades.

And 204, generating a dynamic virtual image according to the health grade and displaying the dynamic virtual image on a screen of the electronic equipment.

In the embodiment of the application, in order to improve the interest of displaying the health level of the user, the dynamic virtual image can be generated according to the health level and displayed on the screen of the electronic equipment. For example, the form of the corresponding avatar may be determined according to the health level, and displayed in the dynamic wallpaper of the electronic device, such as fish, turtle, cartoon character, etc. on the dynamic wallpaper.

And step 205, receiving the touch operation of the user for the dynamic virtual image, and displaying the multidimensional health index of the user according to the touch operation.

In one embodiment, after the user clicks on the dynamic avatar on the desktop, the user's multidimensional health index may be further displayed so that the user sees more specific data, such as a low user health level, mainly due to a game index that is too high and a sleep index that is too low.

And step 206, selecting abnormal health indexes which do not meet the preset index interval from the health indexes, generating prompt information according to the abnormal health indexes, and displaying the prompt information to a screen of the electronic equipment.

In an embodiment, a preset interval may be set for each health index, and used as a standard for measuring whether the health index reaches the standard, the health indexes are compared with the corresponding preset intervals, an abnormal health index that does not meet the preset index interval is selected, and then a pointed prompt message is generated according to the abnormal health index and displayed on a screen of an electronic device. For example, the game index is too high and the sleep index is too low, i.e., the user has too long to play the game and has too little sleep. Further, the user can adopt corresponding improvement strategies in a targeted manner according to the evaluated health level and the abnormal health index so as to improve the self health level.

As can be seen from the above, the user health assessment method provided in the embodiment of the application can obtain feature information of an electronic device in multiple dimensions, generate health indexes of a user in multiple dimensions according to the feature information, construct a user health assessment level, where the user health assessment level includes multiple health levels, classify the health indexes through a K nearest neighbor classification algorithm to obtain corresponding health levels, generate a dynamic avatar according to the health levels and display the dynamic avatar on an electronic device screen, receive a touch operation of the user on the dynamic avatar, display the multi-dimensional health indexes of the user according to the touch operation, select an abnormal health index which does not meet a preset index interval from the health indexes, and generate prompt information according to the abnormal health index and display the prompt information on the electronic device screen. According to the embodiment of the application, the health information of the user in multiple dimensions can be generated according to the characteristic information of the electronic equipment in multiple dimensions, so that the health level of the user is determined, the health condition of the user is evaluated, and the accuracy of the health evaluation of the user is improved by utilizing the multi-aspect panoramic information of the user.

Referring to fig. 4, fig. 4 is a schematic structural diagram of a user health assessment apparatus according to an embodiment of the present disclosure. The user health assessment apparatus 30 comprises a generation module 301, a construction module 302, a classification module 303 and an assessment module 304;

the generating module 301 is configured to acquire feature information of the electronic device in multiple dimensions, and generate a health index of a user in multiple dimensions according to the feature information.

In an embodiment, the electronic device obtains a plurality of feature information related to the health of the user through an information sensing layer of the panoramic sensing framework, such as setting information of the electronic device, application program usage information, sensor data, and the like, and the generating module 301 generates a corresponding multi-dimensional user health index according to the plurality of feature information, so as to obtain a health index system of the user.

The constructing module 302 is configured to construct a user health assessment level, where the user health assessment level includes a plurality of health levels.

The classification module 303 is configured to classify the health index through a preset algorithm to obtain a corresponding health grade.

In an embodiment, the classification module 303 classifies the health index system constructed in step 101 into corresponding health grades through a preset classification algorithm, that is, the electronic device predicts the current health grade of the user according to most of the health indexes of the user. In an embodiment, the predetermined algorithm may be a K-nearest neighbor classification algorithm.

The evaluation module 304 is configured to generate health evaluation information according to the health grade and the health index, and display the health evaluation information on an electronic device screen.

In one embodiment, the evaluation module 304 may generate a health evaluation report once a day, for example, acquiring a multidimensional health index of the user in a day, then determining a health rating of the day and generating health evaluation information according to the health rating of the day and the multidimensional health index, and pushing and presenting the health evaluation information to the user, so that the user can visually see the health evaluation rating of the day and the specific health index.

In an embodiment, the electronic device may further preset a standard value of the multi-dimensional health index, compare the multi-dimensional health index with the preset standard value when the health level is lower than a preset level, and generate a targeted prompt message according to a comparison result.

In an embodiment, please refer to fig. 5, fig. 5 is a schematic structural diagram of a user health assessment apparatus provided in the embodiment of the present application, wherein the health index includes a sleep index, and the generating module 301 may include a monitoring sub-module 3011 and a generating sub-module 3012;

the monitoring submodule 3011 is configured to monitor a sleep state of a user and record a sleep duration according to the sleep state;

the generating sub-module 3012 is configured to generate a sleep index of the user according to the sleep duration

Further, the generating module 301 may further include an obtaining sub-module 3013;

the obtaining sub-module 3013 is configured to obtain action information of a user, and divide the sleep duration into a shallow sleep duration and a deep sleep duration according to the action information;

the generating sub-module 3012 is specifically configured to generate a sleep index of the user according to the shallow sleep time length and the deep sleep time length.

In one embodiment, the evaluation module 304 includes a display sub-module 3041 and a feedback sub-module 3042;

the display sub-module 3041 is configured to generate a dynamic avatar according to the health level and display the dynamic avatar on the screen of the electronic device;

the feedback sub-module 3042 is configured to receive a touch operation of a user on the dynamic avatar, and display a multidimensional health index of the user according to the touch operation.

Further, the evaluation module 304 may further include a prompt sub-module 3043;

the prompting submodule 3043 is configured to select an abnormal health index which does not meet a preset index interval from the health indexes, generate a prompting message according to the abnormal health index, and display the prompting message on the screen of the electronic device.

As can be seen from the above, the user health assessment apparatus according to the embodiment of the application can acquire feature information of an electronic device in multiple dimensions, generate health indexes of a user in multiple dimensions according to the feature information, construct a user health assessment level, the user health assessment level includes multiple health levels, classify the health indexes through a preset algorithm to obtain corresponding health levels, generate health assessment information according to the health levels and the health indexes, and display the health assessment information to a screen of the electronic device. According to the embodiment of the application, the health information of the user in multiple dimensions can be generated according to the characteristic information of the electronic equipment in multiple dimensions, so that the health level of the user is determined, the health condition of the user is evaluated, and the accuracy of the health evaluation of the user is improved by utilizing the multi-aspect panoramic information of the user.

In the embodiment of the present application, the user health assessment apparatus and the user health assessment method in the above embodiments belong to the same concept, and any method provided in the user health assessment method embodiment may be run on the user health assessment apparatus, and a specific implementation process thereof is described in detail in the embodiment of the user health assessment method, and is not described herein again.

The term "module" as used herein may be considered a software object executing on the computing system. The different components, modules, engines, and services described herein may be considered as implementation objects on the computing system. The apparatus and method described herein may be implemented in software, but may also be implemented in hardware, and are within the scope of the present application.

The embodiment of the application further provides a preset algorithm model, for example, a KNN classification model, where the classification model is used to classify health indexes of a user in multiple dimensions after the electronic device obtains feature information of the multiple dimensions and generates the health indexes according to the feature information, so as to obtain corresponding health grades, where the electronic device pre-constructs a user health evaluation level, and the user health evaluation level includes multiple health grades, so that the electronic device can generate health evaluation information according to the health grades and the health indexes, and display the health evaluation information to an electronic device screen.

The embodiment of the present application also provides a storage medium, on which a computer program is stored, and when the computer program runs on a computer, the computer is caused to execute the user health assessment method.

The embodiment of the application also provides an electronic device, such as a tablet computer, a mobile phone and the like. The processor in the electronic device loads instructions corresponding to processes of one or more application programs into the memory according to the following steps, and the processor runs the application programs stored in the memory, so that various functions are realized:

In one embodiment, the health index includes a sleep index, and when feature information of the electronic device in multiple dimensions is acquired and the health index of the user in multiple dimensions is generated according to the feature information, the processor is configured to perform the following steps:

and generating the sleep index of the user according to the sleep duration.

In one embodiment, when the sleep index of the user is generated according to the sleep duration, the processor is configured to perform the following steps:

In one embodiment, the health index includes an emotion index and a disease index, and when the multidimensional feature information of the electronic device is acquired and the multidimensional health index of the user is generated according to the multidimensional feature information, the processor is configured to perform the following steps:

acquiring a user image;

In one embodiment, when the health assessment information is generated according to the health grade and the health index and displayed on a screen of an electronic device, the processor is configured to perform the following steps:

In an embodiment, after presenting the multidimensional health index of the user according to the touch operation, the processor is further configured to perform the steps of:

In one embodiment, the predetermined algorithm is a K-nearest neighbor classification algorithm.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

Referring to fig. 6, the electronic device 400 includes a processor 401 and a memory 402. The processor 401 is electrically connected to the memory 402.

The processor 400 is a control center of the electronic device 400, connects various parts of the entire electronic device using various interfaces and lines, performs various functions of the electronic device 400 by running or loading a computer program stored in the memory 402 and calling data stored in the memory 402, and processes the data, thereby monitoring the electronic device 400 as a whole.

The memory 402 may be used to store software programs and modules, and the processor 401 executes various functional applications and data processing by operating the computer programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, a computer program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 access to the memory 402.

In this embodiment, the processor 401 in the electronic device 400 loads instructions corresponding to one or more processes of the computer program into the memory 402 according to the following steps, and the processor 401 runs the computer program stored in the memory 402, so as to implement various functions, as follows:

Referring also to fig. 7, in some embodiments, the electronic device 400 may further include: a display 403, radio frequency circuitry 404, audio circuitry 405, and a power supply 406. The display 403, the rf circuit 404, the audio circuit 405, and the power source 406 are electrically connected to the processor 401.

The display 403 may be used to display information entered by or provided to the user as well as various graphical user interfaces, which may be made up of graphics, text, icons, video, and any combination thereof. The Display 403 may include a Display panel, and in some embodiments, the Display panel may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The rf circuit 404 may be used for transceiving rf signals to establish wireless communication with a network device or other electronic devices through wireless communication, and for transceiving signals with the network device or other electronic devices.

The audio circuit 405 may be used to provide an audio interface between the user and the electronic device through a speaker, microphone.

The power supply 406 may be used to power various components of the electronic device 400. In some embodiments, power supply 406 may be logically coupled to processor 401 via a power management system, such that functions to manage charging, discharging, and power consumption management are performed via the power management system.

Although not shown in fig. 7, the electronic device 400 may further include a camera, a bluetooth module, and the like, which are not described in detail herein.

In the embodiment of the present application, the storage medium may be a magnetic disk, an optical disk, a Read Only Memory (ROM), a Random Access Memory (RAM), or the like.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

It should be noted that, for the user health assessment method in the embodiment of the present application, it can be understood by a person skilled in the art that all or part of the process for implementing the user health assessment method in the embodiment of the present application may be implemented by controlling related hardware through a computer program, the computer program may be stored in a computer readable storage medium, such as a memory of an electronic device, and executed by at least one processor in the electronic device, and the process of executing the computer program may include, for example, the process of the embodiment of the user health assessment method. The storage medium may be a magnetic disk, an optical disk, a read-only memory, a random access memory, etc.

For the user health assessment apparatus in the embodiment of the present application, each functional module may be integrated into one processing chip, or each module may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium, such as a read-only memory, a magnetic or optical disk, or the like.

The user health assessment method, device, storage medium and electronic device provided by the embodiments of the present application are introduced in detail, and a specific example is applied in the present application to explain the principle and implementation manner of the present application, and the description of the embodiments is only used to help understanding the method and core ideas of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A method for health assessment of a user, the method comprising the steps of:

2. The method for evaluating the health of a user according to claim 1, wherein the health index comprises a sleep index, and wherein acquiring feature information of the electronic device in multiple dimensions and generating the health index of the user in multiple dimensions according to the feature information comprises:

and generating the sleep index of the user according to the sleep duration.

3. The method of claim 2, wherein generating the sleep index of the user based on the sleep duration comprises:

4. The user health assessment method according to claim 1, wherein the health indexes comprise an emotion index and a disease index, and wherein acquiring feature information of the electronic device in multiple dimensions and generating the health indexes of the user in the multiple dimensions according to the feature information comprises:

acquiring a user image;

5. The user health assessment method according to claim 1, wherein generating health assessment information according to the health level and the health index of the user and displaying the health assessment information to an electronic device screen comprises:

and receiving touch operation of a user aiming at the dynamic virtual image, and displaying the health index of the user according to the touch operation.

6. A user health assessment apparatus, said apparatus comprising: the system comprises a generation module, a construction module, a classification module and an evaluation module;

7. The user health assessment device of claim 6, said health index comprising a sleep index, wherein said generating module comprises: a monitoring submodule and a generating submodule;

the monitoring submodule is used for monitoring the sleep state of a user and recording the sleep duration according to the sleep state;

the generation submodule is used for generating the sleep index of the user according to the sleep duration.

8. The user health assessment device of claim 7, wherein said generation module further comprises an acquisition sub-module;

the acquisition submodule is used for acquiring action information of a user and dividing the sleep time into shallow sleep time and deep sleep time according to the action information;

the generation submodule is specifically configured to generate a sleep index of the user according to the shallow sleep time length and the deep sleep time length.

9. A storage medium having stored thereon a computer program, characterized in that, when the computer program is run on a computer, it causes the computer to execute a user health assessment method according to any one of claims 1 to 5.

10. An electronic device comprising a processor and a memory, the memory storing a plurality of instructions, wherein the instructions in the memory are loaded by the processor for performing the steps of: