Human health state monitoring method and device, electronic equipment and medium

Abstract

The invention discloses a human health state monitoring method and device, electronic equipment and a medium, and the method comprises the steps: obtaining first human health data of a user through a health monitoring sensor disposed in a remote controller in response to a triggering operation of the user, and transmitting the first human health data to television equipment; preprocessing the first human body health data through the television equipment to obtain second human body health data, encrypting the second human body health data and uploading the second human body health data to a cloud server; the current fatigue degree of the user is determined through the cloud server according to the second human body health data, a health state evaluation report is generated according to the current fatigue degree and the historical fatigue degree, and then the health state evaluation report is returned to the television equipment. The health management experience and life quality of the user are improved, and the method can be widely applied to the technical field of information.

Description

Technical Field

[0001] The present invention relates to the field of information technology, and in particular to a method, device, electronic equipment and medium for monitoring human health status. Background Art

[0002] Traditional health data collection devices, such as smart bracelets and smart watches, usually rely on dedicated devices and applications for data collection and analysis, which have the following problems:

[0003] 1) Single data collection method. Existing health data collection devices such as smart bracelets and smart watches require users to wear and manage them, which increases the burden of use. The data collection method is limited by the portability of the device itself and the user's usage habits, making it difficult to achieve all-weather, non-perceptible data collection.

[0004] 2) Insufficient data analysis and processing capabilities. In the field of health data analysis, the diversity and complexity of user data place extremely high demands on data analysis and processing capabilities. It is necessary to provide reasonable algorithms for health analysis based on uploaded health data.

[0005] 3) Poor user experience. Users need to frequently switch between different devices to view and manage health data, which is cumbersome and leads to poor user experience. Existing technologies lack personalized health advice and management solutions, making it difficult to meet users' diverse health management needs.

[0006] 4) Insufficient data security and privacy protection. During data transmission and storage, there is a lack of effective encryption and privacy protection measures, which poses a risk of data leakage and illegal access.

[0007] The above problems need to be solved urgently.

[0008] Terminology explanation:

[0009] Health Monitoring Sensor: A sensor used to collect user health data in real time, such as heart rate, blood oxygen and body temperature sensors, to provide basic health data for subsequent analysis and management.

[0010] Local Preprocessing: Preliminary processing of health data in local devices, including data cleaning, denoising, and formatting, to improve data quality and transmission efficiency.

[0011] Cloud based Deep Analysis: Use cloud computing platforms to conduct in-depth analysis of uploaded data and generate data reports and personalized recommendations.

[0012] Personalized Health Recommendation: Individualized health management and improvement suggestions generated based on the results of user health data analysis, used to help users take targeted health measures and improve health management effects.

[0013] Z-score algorithm: A statistical method for data standardization that calculates the distance between a data point and the mean and expresses it in units of standard deviation, so that data of different dimensions can be compared and analyzed under the same standard. Summary of the invention

[0014] The purpose of the present invention is to solve one of the technical problems existing in the prior art to at least a certain extent.

[0015] To this end, an object of an embodiment of the present invention is to provide a method for monitoring human health status, which utilizes the remote control function of a television device to conveniently collect human health data and push health status assessment reports, thereby improving the user's health management experience and quality of life.

[0016] Another object of an embodiment of the present invention is to provide a device for monitoring human health status.

[0017] In order to achieve the above technical objectives, the technical solutions adopted by the embodiments of the present invention include:

[0018] In one aspect, an embodiment of the present invention provides a method for monitoring human health status, comprising the following steps:

[0019] In response to a trigger operation of the user, obtaining first human health data of the user through a health monitoring sensor disposed in the remote controller, and transmitting the first human health data to the television device;

[0020] Preprocessing the first human health data by the television device to obtain second human health data, and encrypting the second human health data and uploading it to a cloud server;

[0021] The cloud server determines the current fatigue level of the user according to the second human health data, generates a health status assessment report according to the current fatigue level and the historical fatigue level, and then returns the health status assessment report to the television device.

[0022] Further, in one embodiment of the present invention, in response to a trigger operation of the user, obtaining first human health data of the user through a health monitoring sensor provided in a remote controller, and transmitting the first human health data to a television device, specifically includes:

[0023] When it is detected that the user holds the remote control, or when it is detected that the user presses a preset button of the remote control, triggering the health monitoring sensor to start;

[0024] Acquire the first human health data through the health monitoring sensor, and transmit the first human health data to the television device through a wireless communication module;

[0025] Among them, the health monitoring sensor includes at least one of a heart rate sensor, a blood oxygen sensor, a blood pressure sensor and a body temperature sensor.

[0026] Further, in one embodiment of the present invention, the preprocessing of the first human health data by the television device to obtain second human health data, and encrypting and uploading the second human health data to a cloud server specifically includes:

[0027] Performing data cleaning, denoising and normalization processing on the first human health data through the television device to obtain the second human health data;

[0028] The second human health data is encrypted to obtain third human health data, and the third human health data is uploaded to the cloud server.

[0029] Further, in one embodiment of the present invention, determining the current fatigue level of the user according to the second human health data specifically includes:

[0030] Obtain a preset human health reference data set, and obtain multiple health indicator data under normal fatigue levels according to the human health reference data set;

[0031] Determine a first mean and a first standard deviation of the health indicator data, and calculate a z-score value according to the second human health data, the first mean and the first standard deviation;

[0032] The current fatigue level is determined according to the z-score value and a preset threshold range.

[0033] Further, in one embodiment of the present invention, generating a health status assessment report according to the current fatigue level and the historical fatigue level specifically includes:

[0034] Acquire the historical fatigue degree of the user stored locally on the cloud server, and generate a health status change curve according to the current fatigue degree and the historical fatigue degree;

[0035] Generate corresponding personalized health advice according to the health status change curve;

[0036] The health status assessment report is generated according to the current fatigue level, the health status change curve and the personalized health advice.

[0037] Furthermore, in one embodiment of the present invention, the human health status monitoring method further comprises the following steps:

[0038] In response to a query operation by a user, displaying the health status assessment report through the television device;

[0039] The query operation includes at least one of a remote control button query and a voice command query.

[0040] Furthermore, in one embodiment of the present invention, the human health status monitoring method further comprises the following steps:

[0041] When the current fatigue level reaches a preset alarm threshold, preset health risk warning information is displayed through the television device.

[0042] On the other hand, an embodiment of the present invention provides a human health status monitoring device, including:

[0043] a health data acquisition module, configured to obtain first human health data of the user through a health monitoring sensor disposed in the remote controller in response to a trigger operation of the user, and transmit the first human health data to the television device;

[0044] A health data uploading module, used for preprocessing the first human health data through the television device to obtain second human health data, and encrypting the second human health data and uploading it to a cloud server;

[0045] A health status assessment module is used to determine the current fatigue level of the user based on the second human health data through the cloud server, and generate a health status assessment report based on the current fatigue level and historical fatigue level, and then return the health status assessment report to the television device.

[0046] On the other hand, an embodiment of the present invention provides an electronic device, which includes a memory, a processor, a program stored in the memory and executable on the processor, and a data bus for realizing connection and communication between the processor and the memory. When the program is executed by the processor, the human health status monitoring method as described above is realized.

[0047] On the other hand, an embodiment of the present invention also provides a storage medium, which is a computer-readable storage medium used for computer-readable storage, and the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the human health status monitoring method as described above.

[0048] The advantages and beneficial effects of the present invention will be partly given in the following description, partly become apparent from the following description, or be understood through the practice of the present invention:

[0049] In response to a trigger operation by a user, an embodiment of the present invention obtains the user's first human health data through a health monitoring sensor set in a remote control, transmits the first human health data to a television device, pre-processes the first human health data through the television device to obtain second human health data, encrypts the second human health data and uploads it to a cloud server, determines the user's current fatigue level based on the second human health data through the cloud server, generates a health status assessment report based on the current fatigue level and the historical fatigue level, and then returns the health status assessment report to the television device. The embodiment of the present invention processes and analyzes the health data collected through the remote control, so that the user's fatigue status can be accurately assessed and a personalized health status assessment report can be generated. By using the remote control function of the television device, human health data can be collected and health status assessment reports can be pushed conveniently, thereby improving the user's health management experience and quality of life. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solution in the embodiments of the present invention, the following introduction is made to the drawings required for use in the embodiments of the present invention. It should be understood that the drawings introduced below are only for the convenience of clearly describing some embodiments of the technical solution of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0051] Figure 1 A flowchart of a method for monitoring human health status provided by an embodiment of the present invention;

[0052] Figure 2 An overall flow chart of a method for monitoring human health status provided by an embodiment of the present invention;

[0053] Figure 3 A step flow chart of step S101 provided in an embodiment of the present invention;

[0054] Figure 4 A step flow chart of step S102 provided in an embodiment of the present invention;

[0055] Figure 5A step flow chart of step S103 provided in an embodiment of the present invention;

[0056] Figure 6 Another step flow chart of step S103 provided in an embodiment of the present invention;

[0057] Figure 7 Another step flow chart of the human health status monitoring method provided by the embodiment of the present invention;

[0058] Figure 8 Another step flow chart of the human health status monitoring method provided by the embodiment of the present invention;

[0059] Fig. 9 A schematic diagram of the structure of a human health status monitoring device provided by an embodiment of the present invention;

[0060] Fig.10 A schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present invention;

[0061] Fig.11 A schematic diagram of the structure of a storage medium provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0062] Embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be understood as limitations on the present application. It should be noted that, although the functional module division is performed in the system schematic diagram and the logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in a different order from the module division in the system schematic diagram or the flow chart. For the step numbers in the following embodiments, they are only set for the convenience of explanation, and the order between the steps is not limited in any way. The execution order of each step in the embodiment can be adaptively adjusted according to the understanding of those skilled in the art.

[0063] In the description of the present invention, the meaning of "a plurality" is two or more. If there is a description of the first or the second, it is only for the purpose of distinguishing the technical features, and it cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features. In addition, unless otherwise defined, all technical and scientific terms used in this document have the same meaning as those commonly understood by technicians in the technical field of this application. The terms used in this document are only for the purpose of describing the embodiments of the present application and are not intended to limit the present application.

[0064] In modern society, with the popularity of smart homes and the increasing demand for health monitoring, the collection and push of health data using home appliances has become a new research hotspot. Especially in the smart TV or set-top box industry, users can perform a variety of operations through the remote control, which provides new possibilities for the collection and push of health data.

[0065] Traditional health data collection devices, such as smart bracelets and smart watches, usually rely on dedicated devices and applications for data collection and analysis. However, the use of these devices requires users to wear and manage them additionally, which increases the burden on users. In contrast, smart TVs and set-top boxes, as commonly used devices in the home, have the advantages of continuous power supply, long-term operation, and wide user coverage. If health data can be collected and pushed through these devices, it will greatly improve the user experience and the convenience of data collection.

[0066] At present, the functions of remote controllers for smart TVs or set-top boxes are constantly improving, especially voice remote controllers, which are gradually occupying the market with advantages such as simple operation and short response time. Users can complete a variety of operations through voice input, including searching and controlling devices. If the functions of remote controllers are expanded to the field of health data collection, users can monitor and push health data through simple operations, which will greatly facilitate users.

[0067] However, existing technologies mainly focus on using remote controllers for media retrieval and device control, and there is relatively little research on the collection and push of health data. In addition, how to convert user operations into structured health data that can be recognized by the platform and push it through reliable channels is also an urgent problem to be solved.

[0068] The present invention aims to provide a method for monitoring human health status, which enables users to conveniently collect and push health data by utilizing the remote control function of smart TVs or set-top boxes, so as to improve the user's health management experience and quality of life. This new method can not only improve the convenience and accuracy of data collection, but also realize real-time push and remote monitoring of health data through the network connection of smart TVs or set-top boxes, meeting the diverse health management needs of users; combined with the z-score algorithm, it can realize more convenient and accurate health data detection and analysis.

[0069] The present invention uses advanced sensing technology and data analysis technology to collect the user's health data through the remote control, uses intelligent algorithms for real-time processing and analysis, and pushes and feedbacks data through smart TVs or set-top boxes. In order to improve the intelligence and accuracy of the system, the present invention combines voice recognition and natural language processing technology to enable users to complete health data query and management operations through voice commands.

[0070] In terms of system design, the present invention adopts modular functional design, and forms a plug-and-play solution through flexible module combination to cope with the complexity of different family scenarios and user needs, thereby reducing R&D costs and simplifying system deployment and maintenance. In terms of data storage, the present invention will adopt multimodal data distributed storage and standardized data processing methods to solve the problems of data fragmentation and inconsistent multimodal data standards, and ensure data integrity and consistency.

[0071] The present invention can realize more comprehensive, personalized and intelligent family health management services, improve users' health monitoring and management experience, and meet the diverse needs of modern families for health management.

[0072] The human health status monitoring method provided in the embodiment of the present invention can be applied to the terminal, can also be applied to the server side, and can also be software running in the terminal or the server side. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a set-top box, etc.; the server side can be configured as an independent physical server, or a server cluster or a distributed system composed of multiple physical servers, and can also be configured as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application that implements the human health status monitoring method, etc., but is not limited to the above forms.

[0073] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0074] It should be noted that in each specific implementation of the present application, when it comes to the need to perform relevant processing based on data related to user identity or characteristics such as user information, user behavior data, user historical data, and user location information, the user's permission or consent will be obtained first, and the collection, use, and processing of these data will comply with the relevant laws, regulations, and standards of the relevant countries and regions. In addition, when the embodiment of the present application needs to obtain the user's sensitive personal information, the user's separate permission or consent will be obtained through a pop-up window or by jumping to a confirmation page. After clearly obtaining the user's separate permission or consent, the necessary user-related data for the normal operation of the embodiment of the present application will be obtained.

[0075] like Figure 1 FIG. 1 is a flow chart showing a method for monitoring the health status of a human body according to an embodiment of the present invention. Figure 1 The embodiment of the present invention provides a method for monitoring human health status, which specifically includes the following steps:

[0076] S101, in response to a trigger operation of a user, obtaining first human health data of a user through a health monitoring sensor disposed in a remote controller, and transmitting the first human health data to a television device;

[0077] S102, preprocessing the first human health data through the television device to obtain second human health data, and encrypting the second human health data and uploading it to the cloud server;

[0078] S103. Determine the current fatigue level of the user according to the second human health data through the cloud server, generate a health status assessment report according to the current fatigue level and the historical fatigue level, and then return the health status assessment report to the TV device.

[0079] like Figure 2 The figure shows the overall flow chart of the human health status monitoring method provided by the embodiment of the present invention. The embodiment of the present invention processes and analyzes the health data collected by the remote control, so as to accurately evaluate the user's fatigue status and generate a personalized health status assessment report. By using the remote control function of the TV device, human health data can be collected and health status assessment reports can be pushed conveniently, thereby improving the user's health management experience and quality of life. Figure 2 and other drawings illustrate the method steps of the embodiments of the present invention in detail.

[0080] like Figure 3 FIG. 1 is a flowchart of step S101 provided in an embodiment of the present invention, referring to FIG. Figure 3As an optional implementation, in response to a trigger operation of the user, obtaining the first human health data of the user through a health monitoring sensor provided in the remote controller, and transmitting the first human health data to the television device, specifically includes:

[0081] S1011, when it is detected that the user is holding the remote control, or when it is detected that the user presses a preset button on the remote control, triggering the health monitoring sensor to start;

[0082] S1012, obtaining first human health data through a health monitoring sensor, and transmitting the first human health data to a television device through a wireless communication module;

[0083] Among them, the health monitoring sensor includes at least one of a heart rate sensor, a blood oxygen sensor, a blood pressure sensor and a body temperature sensor.

[0084] Specifically, the remote control detection module is a variety of health monitoring sensors built into the remote control, such as heart rate sensors, blood oxygen sensors, blood pressure sensors, and body temperature sensors. When the user uses the remote control, the sensors start working and collect the user's health data in real time. The remote control trigger module is responsible for starting the health monitoring sensor. When the user holds the remote control or activates the health data collection function through a specific button, the health data collection process is triggered; the collected health data is transmitted to the smart TV or set-top box through the wireless communication module.

[0085] It can be appreciated that the embodiments of the present invention integrate sensors such as heart rate, blood oxygen, blood pressure, and body temperature into the remote control, so that users can collect health data in real time when using a smart TV or set-top box; compared to existing technologies that require additional health monitoring equipment to be worn, the embodiments of the present invention do not require additional equipment and are easy to use, greatly improving user acceptance and frequency of use.

[0086] like Figure 4 FIG. 1 is a flow chart of step S102 provided in an embodiment of the present invention, referring to FIG. Figure 4 As an optional implementation, the first human health data is preprocessed by a television device to obtain second human health data, and the second human health data is encrypted and uploaded to a cloud server, which specifically includes:

[0087] S1021, performing data cleaning, denoising and normalization processing on the first human health data through a television device to obtain second human health data;

[0088] S1022. Encrypt the second human health data to obtain third human health data, and upload the third human health data to the cloud server.

[0089] Specifically, after receiving the health data from the remote control, the smart TV or set-top box first stores the data in a local database to ensure the integrity and security of the data; the stored health data is preprocessed, including data cleaning, denoising, and normalization, to ensure the accuracy and consistency of the data. The preprocessed health data is uploaded to the cloud server via the network. Encryption technology is used during the data upload process to ensure data security during transmission and prevent data leakage and illegal access.

[0090] The embodiment of the present invention adopts encryption technology in the data transmission process and combines strict privacy protection measures to ensure the security and privacy of user data. Compared with the problem of low data transmission security in the prior art, the present invention prevents data leakage and unauthorized access through encryption and privacy protection measures, thereby enhancing user trust and willingness to use.

[0091] like Figure 5 FIG. 1 is a flow chart of step S103 provided in an embodiment of the present invention, referring to FIG. Figure 5 As an optional implementation, determining the current fatigue level of the user according to the second human health data specifically includes:

[0092] S1031, obtaining a preset human health reference data set, and obtaining a plurality of health indicator data under a normal fatigue level according to the human health reference data set;

[0093] S1032, determining a first mean and a first standard deviation of the health indicator data, and calculating a z-score value according to the second human health data, the first mean and the first standard deviation;

[0094] S1033. Determine the current fatigue level according to the z-score value and a preset threshold range.

[0095] Specifically, the cloud server further cleans the uploaded health data to remove outliers and noise data to ensure the accuracy of the analysis results; the classified health data is stored in the cloud server's database in a structured manner for subsequent rapid retrieval and analysis.

[0096] All data is calculated based on the number of measurements specified by the user before the algorithm is calculated to ensure the integrity and accuracy of the data. This setting helps to ensure the reliability of the analysis results because it avoids misjudgments due to insufficient data or low data quality. In specific implementation, a minimum measurement threshold can be set, such as requiring users to measure blood pressure at least twice a day for a week. Only when the user meets this condition will the system begin to process and analyze the data.

[0097] In order to more accurately evaluate the user's fatigue state, an embodiment of the present invention introduces a z-score algorithm to calculate the fatigue index. The z-score algorithm is a method commonly used for data standardization, which can convert data of different dimensions into scores under a unified standard for comparison and analysis. Calculate the mean (μ) and standard deviation (σ) of the data set. These two statistics reflect the central position and dispersion of the data, respectively. Using the mean and standard deviation, each data point is converted to a Z-score, that is, (x-μ) / σ. This process realizes data standardization, so that data of different dimensions or distributions can be compared and analyzed on the same scale. The steps are as follows:

[0098] 1) Select representative normal fatigue level data from a large amount of health data as a reference data set. This data set should contain health data of multiple users and cover different age, gender, health status and other variables to ensure the comprehensiveness and representativeness of the reference data set.

[0099] 2) Calculate the mean (μ) and standard deviation (σ) of key fatigue-related indicators in the reference dataset (such as heart rate variability, deep sleep ratio in the sleep cycle, etc.).

[0100] 3) For each user's actual data, calculate its z-score value. The formula is:

[0101] z=(x-μ) / σ

[0102] Where x is the actual measurement value of the user.

[0103] 4) Fatigue level determination: The user's fatigue level can be determined based on the size of the z-score value. Generally speaking, the more the z-score value deviates from 0, the more the user's fatigue state deviates from the normal level. By setting appropriate thresholds (such as ±1.0, ±1.5, etc.), the user's fatigue state can be divided into different levels (such as mild fatigue, moderate fatigue, severe fatigue, etc.). The specific threshold can be set according to the actual situation and expert advice.

[0104] It can be recognized that the z-score algorithm provides an intuitive way to understand the relationship between a data point and the center of a data set, that is, the degree of deviation of a data point from the mean, which is helpful for data analysis and interpretation. When the standardized data is visualized (such as drawing a histogram, scatter plot, etc.), the distribution characteristics and outliers of the data can be more clearly displayed. The embodiment of the present invention improves data comparability through the z-score algorithm, and makes comparisons between different data sets or different features more fair and meaningful by eliminating the mean and scale differences of the data.

[0105] In some optional embodiments, in order to evaluate the user's blood pressure level, the mean (Mean) and standard deviation (SD) of the user's systolic and diastolic blood pressure over a certain period of time (such as one week or one month) are first calculated. These two statistics can reflect the overall level and fluctuation range of the user's blood pressure. Then, according to the blood pressure classification standards established by the World Health Organization (WHO) or other authoritative organizations, the user's blood pressure level is compared with normal, prehypertension, hypertension grade I, hypertension grade II, etc. For example, if the user's systolic blood pressure mean is continuously higher than 140 mmHg or the diastolic blood pressure mean is continuously higher than 90 mmHg, it may be considered as hypertension.

[0106] like Figure 6 FIG. 1 is another step flow chart of step S103 provided in an embodiment of the present invention, referring to FIG. Figure 6 As an optional implementation, a health status assessment report is generated according to the current fatigue level and the historical fatigue level, which specifically includes:

[0107] S1034, obtaining the user's historical fatigue level stored locally on the cloud server, and generating a health status change curve according to the current fatigue level and the historical fatigue level;

[0108] S1035, generating corresponding personalized health advice according to the health status change curve;

[0109] S1036. Generate a health status assessment report based on the current fatigue level, health status change curve and personalized health suggestions.

[0110] Specifically, based on the analysis results, a detailed health data report is generated, including current health status assessment, historical data change trends, health risk prompts, and personalized health recommendations. The generated health report is pushed to the user through a smart TV or set-top box to ensure that the user can get health feedback in a timely manner. The smart TV or set-top box pushes the health data report to the user interface, and the user can view the detailed health report and related recommendations on the TV screen. The user interface is designed to be simple and intuitive, making it easy for users to browse and understand health data.

[0111] The embodiments of the present invention generate personalized health suggestions and reports through intelligent algorithms and big data analysis, and push them to users through smart TVs or set-top boxes, and provide targeted health management solutions to meet users' personalized needs and improve health management effects. Compared with the general suggestions of the prior art, the personalized suggestions provided by the present invention are more targeted and practical.

[0112] like Figure 7 FIG. 1 is another flow chart of the steps of the human health status monitoring method provided by an embodiment of the present invention, referring to FIG. Figure 7As an optional implementation, the method for monitoring the health status of a human body further comprises the following steps:

[0113] S104, in response to the user's query operation, displaying the health status assessment report through the television device;

[0114] The query operation includes at least one of a remote control button query and a voice command query.

[0115] Specifically, users can query health data, view historical records and current health status through the remote control; the system supports voice recognition and natural language processing, and users can perform query and management operations through voice commands.

[0116] like Figure 8 FIG. 1 is another flow chart of the steps of the human health status monitoring method provided by an embodiment of the present invention, referring to FIG. Figure 8 As an optional implementation, the method for monitoring the health status of a human body further comprises the following steps:

[0117] S105: When the current fatigue level reaches a preset warning threshold, a preset health risk warning message is displayed through a television device.

[0118] Specifically, users can use the remote control to manage personal health information, set health goals, adjust health management plans, etc. The system provides personalized health management services to help users effectively manage their health status.

[0119] Users can query and manage health data through remote control or voice commands, which is easy to operate. With a unified smart TV or set-top box interface, users do not need to switch between multiple devices, which significantly improves the user interaction experience. Compared with the existing technology, the present invention has significant advantages in user experience.

[0120] The above is a description of the method steps of the embodiment of the present invention. It can be recognized that the embodiment of the present invention processes and analyzes the health data collected by the remote control, so as to accurately evaluate the user's fatigue state and generate a personalized health status assessment report. By using the remote control function of the TV device, human health data can be collected and health status assessment reports can be pushed conveniently, thereby improving the user's health management experience and quality of life.

[0121] like Fig. 9 FIG. 1 is a schematic diagram of a human health status monitoring device according to an embodiment of the present invention. Fig. 9 , an embodiment of the present invention provides a human health status monitoring device, comprising:

[0122] A health data acquisition module, configured to obtain first human health data of the user through a health monitoring sensor disposed in the remote controller in response to a trigger operation of the user, and transmit the first human health data to the television device;

[0123] A health data uploading module, used for preprocessing the first human health data through the television device to obtain the second human health data, and encrypting the second human health data and uploading it to the cloud server;

[0124] The health status assessment module is used to determine the user's current fatigue level based on the second human health data through the cloud server, and generate a health status assessment report based on the current fatigue level and the historical fatigue level, and then return the health status assessment report to the TV device.

[0125] The contents of the above method embodiments are all applicable to the present device embodiments. The functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0126] The embodiment of the present invention further provides an electronic device, the electronic device comprising: a memory, a processor, a program stored in the memory and executable on the processor, and a data bus for realizing connection and communication between the processor and the memory, and the program is executed by the processor to realize the above-mentioned human health status monitoring method. The electronic device can be any intelligent terminal including a tablet computer, a vehicle-mounted computer, etc.

[0127] like Fig.10 FIG. 1 is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present invention, referring to FIG. Fig.10 , an embodiment of the present invention provides an electronic device, including:

[0128] The processor 1001 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present invention.

[0129] The memory 1002 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 1002 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 1002, and the processor 1001 calls and executes the human health status monitoring method of the embodiment of the present invention;

[0130] Input / output interface 1003, used to implement information input and output;

[0131] The communication interface 1004 is used to realize the communication interaction between the device and other devices. The communication can be realized through a wired manner (such as USB, network cable, etc.) or a wireless manner (such as mobile network, WIFI, Bluetooth, etc.);

[0132] A bus 1005 , which transmits information between various components of the device (e.g., the processor 1001 , the memory 1002 , the input / output interface 1003 , and the communication interface 1004 );

[0133] The processor 1001 , the memory 1002 , the input / output interface 1003 and the communication interface 1004 are connected to each other in communication within the device via the bus 1005 .

[0134] like Fig.11 FIG. 1 is a schematic diagram of a storage medium according to an embodiment of the present invention. Fig.11 An embodiment of the present invention further provides a storage medium, which is a computer-readable storage medium used for computer-readable storage. The storage medium stores one or more programs 1101, and the one or more programs 1101 can be executed by one or more processors to implement the above-mentioned human health status monitoring method.

[0135] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0136] The embodiment of the present invention also discloses a computer program product or a computer program, wherein the computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. A processor of a computer device can read the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes Figure 1 The method shown.

[0137] In some selectable embodiments, the function / operation mentioned in the block diagram may not occur in the order mentioned in the operation diagram. For example, depending on the function / operation involved, the two boxes shown in succession can actually be executed substantially simultaneously or the above-mentioned boxes can sometimes be executed in reverse order. In addition, the embodiment presented and described in the flow chart of the present invention is provided by way of example, for the purpose of providing a more comprehensive understanding of technology. The disclosed method is not limited to the operation and logic flow presented herein. Selectable embodiments are expected, wherein the order of various operations is changed and the sub-operation of a part for which is described as a larger operation is performed independently.

[0138] In addition, although the present invention is described in the context of functional modules, it should be understood that, unless otherwise specified to the contrary, one or more of the above-mentioned functions and / or features can be integrated into a single physical device and / or software module, or one or more functions and / or features can be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the present invention. More specifically, in view of the properties, functions and internal relationships of the various functional modules in the device disclosed herein, the actual implementation of the module will be understood within the conventional skills of the engineer. Therefore, those skilled in the art can implement the present invention set forth in the claims without excessive experimentation using ordinary techniques. It is also understood that the specific concepts disclosed are merely illustrative and are not intended to limit the scope of the present invention, which is determined by the full scope of the appended claims and their equivalents.

[0139] If the above functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the above methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0140] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0141] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and editable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the above-mentioned program is printed, since the above-mentioned program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or processing in other suitable ways as necessary, and then stored in a computer memory.

[0142] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0143] In the above description of this specification, the description with reference to the terms "one embodiment / example", "another embodiment / example" or "certain embodiments / examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0144] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

[0145] The above is a specific description of the preferred implementation of the present invention, but the present invention is not limited to the above embodiments. Those skilled in the art may make various equivalent modifications or substitutions without violating the spirit of the present invention. These equivalent modifications or substitutions are all included in the scope defined by the claims of this application.

Claims

1. A method for monitoring human health status, characterized in that: The following steps are involved: In response to a trigger operation of the user, obtaining first human health data of the user through a health monitoring sensor disposed in the remote controller, and transmitting the first human health data to the television device; Preprocessing the first human health data by the television device to obtain second human health data, and encrypting the second human health data and uploading it to a cloud server; The cloud server determines the current fatigue level of the user according to the second human health data, generates a health status assessment report according to the current fatigue level and the historical fatigue level, and then returns the health status assessment report to the television device.

2. A method for monitoring human health status according to claim 1, characterized in that: In response to the triggering operation of the user, obtaining the first human health data of the user through the health monitoring sensor set in the remote controller, and transmitting the first human health data to the television device, specifically includes: When it is detected that the user holds the remote control, or when it is detected that the user presses a preset button of the remote control, triggering the health monitoring sensor to start; Acquire the first human health data through the health monitoring sensor, and transmit the first human health data to the television device through a wireless communication module; Among them, the health monitoring sensor includes at least one of a heart rate sensor, a blood oxygen sensor, a blood pressure sensor and a body temperature sensor.

3. A method for monitoring human health status according to claim 1, characterized in that: The preprocessing of the first human health data by the television device to obtain second human health data, and encrypting and uploading the second human health data to the cloud server specifically includes: Performing data cleaning, denoising and normalization processing on the first human health data through the television device to obtain the second human health data; The second human health data is encrypted to obtain third human health data, and the third human health data is uploaded to the cloud server.

4. A method for monitoring human health status according to claim 1, characterized in that: The determining the current fatigue level of the user according to the second human health data specifically includes: Obtain a preset human health reference data set, and obtain multiple health indicator data under normal fatigue levels according to the human health reference data set; Determine a first mean and a first standard deviation of the health indicator data, and calculate a z-score value according to the second human health data, the first mean and the first standard deviation; The current fatigue level is determined according to the z-score value and a preset threshold range.

5. A method for monitoring human health status according to claim 1, characterized in that: The generating of the health status assessment report according to the current fatigue level and the historical fatigue level specifically includes: Acquire the historical fatigue degree of the user stored locally on the cloud server, and generate a health status change curve according to the current fatigue degree and the historical fatigue degree; Generate corresponding personalized health advice according to the health status change curve; The health status assessment report is generated according to the current fatigue level, the health status change curve and the personalized health advice.

6. A method for monitoring human health status according to any one of claims 1 to 5, characterized in that: The human health status monitoring method also includes the following steps: In response to a query operation by a user, displaying the health status assessment report through the television device; The query operation includes at least one of a remote control button query and a voice command query.

7. A method for monitoring human health status according to any one of claims 1 to 5, characterized in that: The human health status monitoring method also includes the following steps: When the current fatigue level reaches a preset alarm threshold, preset health risk warning information is displayed through the television device.

8. A human health status monitoring device, characterized in that: include: a health data acquisition module, configured to obtain first human health data of the user through a health monitoring sensor disposed in the remote controller in response to a trigger operation of the user, and transmit the first human health data to the television device; A health data uploading module, used for preprocessing the first human health data through the television device to obtain second human health data, and encrypting the second human health data and uploading it to a cloud server; A health status assessment module is used to determine the current fatigue level of the user based on the second human health data through the cloud server, and generate a health status assessment report based on the current fatigue level and historical fatigue level, and then return the health status assessment report to the television device.

9. An electronic device, characterized in that: The electronic device includes a memory, a processor, a program stored in the memory and executable on the processor, and a data bus for realizing connection and communication between the processor and the memory. When the program is executed by the processor, the steps of the human health status monitoring method as described in any one of claims 1 to 7 are realized.

10. A storage medium, the storage medium being a computer-readable storage medium, used for computer-readable storage, characterized in that: The storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of the human health status monitoring method as described in any one of claims 1 to 7.

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