system

Abstract

We provide the system. [Solution] Means for collecting personal information from users and physical information from sensor devices, A processing method for analyzing the user's health status based on the collected information, A means of generating a customized health promotion plan for each user based on the analysis results, A means of providing the generated plan to the user, A means of obtaining and analyzing feedback from users after the plan has been implemented, A means for improving the accuracy of the plan generated by the generation means based on the acquired feedback, A system that includes this.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 Among modern businessmen, especially middle-aged and elderly people, while health management is an important concern, there is a problem that it is difficult to implement effective health maintenance measures due to lack of time in their busy daily lives. In particular, while feeling anxious about the results of a health check, it is difficult to find an exercise or health management plan suitable for oneself, and there is a need to formulate a customized plan based on physical conditions and lifestyle characteristics that are easily overlooked by oneself. Therefore, it is an issue to provide a health promotion plan optimized for the lifestyle and physical condition of each user and to provide feasible support. 【Means for Solving the Problems】 【0005】 This invention provides a system that aggregates personal information from users and physical information from sensor devices, and analyzes their health status based on this information. It includes means for generating a customized health promotion plan for each user based on the analysis results, thereby proposing a plan tailored to individual needs and conditions. Furthermore, based on feedback obtained after the user implements the plan, the generation means is adjusted to improve the accuracy of subsequent plans. This allows users to optimally manage their health status and effectively solve various problems related to maintaining their health. 【0006】 "Personal information" refers to information necessary for generating a health promotion plan, such as occupational information, lifestyle habits, and health checkup results related to the user. 【0007】 A "sensor device" is a device used to acquire physical information, and includes smartwatches and cameras. 【0008】 "Physical information" refers to data acquired through sensor devices, including information about the user's physical condition such as BMI, heart rate, body temperature, and fatigue level. 【0009】 "Processing means for analyzing health status" refers to algorithmic means within a system that identifies the user's health status and lifestyle trends based on collected personal and physical information. 【0010】 A "health promotion plan" is a plan that includes specific action guidelines for exercise, nutrition, and sleep improvement, tailored to each individual user. 【0011】 The "generation method" refers to a function for generating health promotion plans based on analysis results, and it utilizes a generation AI model. 【0012】 "Feedback" refers to opinions and information provided by users after they have implemented a health promotion plan, including their impressions of the exercise and changes in their physical condition. 【0013】 "Means to improve accuracy" refers to adjustment functions that enhance the accuracy of health promotion plan proposals based on feedback received from users. [Brief explanation of the drawing] 【0014】 [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, when an emotion engine is combined. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined. 【Embodiments for Carrying Out the Invention】 【0015】 Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0016】 First, the terms used in the following description will be explained. 【0017】 In the following embodiments, a labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), etc. 【0018】 In the following embodiments, a labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0019】 In the following embodiments, a labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc. 【0020】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0021】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0022】 [First Embodiment] 【0023】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0024】 As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. 【0025】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0026】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0027】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input. 【0028】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0029】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0030】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0031】 As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30. 【0032】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0033】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0034】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0035】 This invention is a system that provides and supports the implementation of a customized health promotion plan based on an individual's lifestyle and current physical condition, in order to maintain and improve the user's health. The system operates around the user's terminal, sensor devices, and server. 【0036】 The user first enters personal information such as occupation and lifestyle habits through a terminal. Additionally, a sensor device measures the user's physical information, such as BMI and heart rate, and transmits this information to the terminal. The terminal then sends the collected personal and physical information to a server. 【0037】 The server integrates the information and stores it in a database. The stored data is analyzed to identify the user's health status and lifestyle characteristics. Based on this, the server uses a generative AI model to generate a health promotion plan optimized for the user's needs. This plan may include specific exercise routines, nutritional guidelines, and sleep improvement strategies. 【0038】 The generated plan is sent from the server to the user's terminal, and the user can then begin health-promoting activities according to this plan. For example, if a busy business person is suggested to do 20 minutes of yoga a day, they can easily incorporate it into their daily routine. 【0039】 Afterward, the user reports the results of their plan implementation via their device, inputting specific feedback such as exercise performance, physical changes, and perceived effects. The device sends this feedback to a server, which analyzes it to update the AI ​​model and improve the accuracy of future plans. 【0040】 In this way, users can continuously receive and implement individually customized plans, enabling them to effectively maintain and improve their health in their daily lives. 【0041】 The following describes the processing flow. 【0042】 Step 1: 【0043】 Users use their devices to enter personal information such as their occupation, lifestyle, and health checkup results. 【0044】 Step 2: 【0045】 The device acquires physical information such as BMI, heart rate, body temperature, and fatigue level from sensor devices such as smartwatches and cameras. 【0046】 Step 3: 【0047】 The device collects personal and physical information and sends it to the server. 【0048】 Step 4: 【0049】 The server stores the received information in a database and analyzes the integrated data using machine learning algorithms. 【0050】 Step 5: 【0051】 The server uses an AI model based on the analysis results to generate an optimal health plan for the user. This plan includes specific recommendations regarding exercise, nutrition, and sleep. 【0052】 Step 6: 【0053】 The server sends the generated health promotion plan to the user's device. 【0054】 Step 7: 【0055】 Users review the plan they receive through their device and implement it in their daily lives. 【0056】 Step 8: 【0057】 Users input feedback on their device regarding their impressions after implementing the plan, changes in their physical condition, and improvements they have seen. 【0058】 Step 9: 【0059】 The device sends user feedback to the server. 【0060】 Step 10: 【0061】 The server analyzes the feedback and updates the AI ​​model to improve the accuracy of future health promotion plans. 【0062】 (Example 1) 【0063】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0064】 In modern society, health management tailored to individual lifestyles is required, but conventional methods only provide general health guidance, making it difficult to offer optimal health support for each individual. Furthermore, there is a challenge in the insufficient utilization of user feedback to improve the accuracy of health guidance. 【0065】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0066】 In this invention, the server includes means for collecting lifestyle information from the user and biometric data from sensors; processing means for storing the collected information in a database and analyzing the user's health status; and means for generating personalized health guidance using a generative model based on the analysis results. This enables personalized health support for each user. 【0067】 A "user" is an entity that provides lifestyle information and biometric data through the system and receives individually customized health guidance. 【0068】 "Lifestyle information" refers to information related to an individual's living situation, such as their occupation, lifestyle habits, and health concerns. 【0069】 A "sensor" is a device used to acquire a user's physical data, and has functions to measure heart rate, steps taken, sleep patterns, and so on. 【0070】 "Biometric data" refers to information about a user's body obtained through sensors, and is used to analyze their health status. 【0071】 A "server" is a computing device that stores and analyzes information received from users and provides health guidance through generative models. 【0072】 A "generative model" refers to an artificial intelligence model used to create optimized health guidance based on user data. 【0073】 "Health guidance" refers to specific health promotion measures provided to users, including guidelines for exercise, diet, and sleep improvement. 【0074】 "Feedback" refers to information in which users report their impressions and physical changes as a result of health guidance, and this information can be used to improve the accuracy of future health guidance. 【0075】 The system based on this invention analyzes the user's health status and provides individually customized health guidance. The system primarily operates using the user's terminal, sensor devices, and a server. 【0076】 First, the user inputs their lifestyle information using a device. This device is typically a smartphone or tablet. The information the user inputs includes their occupation, lifestyle habits, and health concerns. Furthermore, sensor devices collect the user's biometric data. These devices include smartwatches and fitness trackers, which measure and acquire data such as heart rate, steps taken, and sleep patterns. 【0077】 The acquired data is transmitted to the server via the terminal. The server stores the collected information in a database and uses data analysis tools such as Python and R to analyze the data. User lifestyle information and biometric data are used to analyze health status and gain a comprehensive understanding of the user's health condition. 【0078】 Based on the analysis results, the server uses a generative AI model to generate personalized health guidance for each user. This generative AI model may include, for example, OpenAI's GPT series. The generated health guidance includes specific guidelines for exercise, diet, and sleep improvement. 【0079】 The generated health guidance is sent from the server to the user's terminal, and the user uses it to promote their daily health. For example, guidance such as "do aerobic exercise three times a week" or "do stretching every morning" may be provided. User feedback includes reports on their reactions to the activities and any physical changes they experience. 【0080】 This feedback is sent back to the server and used to update the AI ​​model. This establishes a cycle in which the accuracy of the generated health guidance gradually improves. 【0081】 A concrete example of a prompt message could be: "A male businessman in his 30s, who is sedentary, experiences a lot of stress at work, and often stays up late. Please create a health plan recommended for this user." 【0082】 This system can efficiently support users in promoting their health and provide individually customized health management. 【0083】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0084】 Step 1: 【0085】 Users input lifestyle information using their own devices. Specifically, they enter their occupation, lifestyle habits, and health concerns into a dedicated application on their smartphone or tablet. The information entered is used by the system to identify the user's behavioral patterns and health risks. 【0086】 Step 2: 【0087】 The device acquires biometric data from sensor devices. These sensor devices are often smartwatches or fitness trackers. These devices acquire real-time biometric data such as the user's heart rate, steps taken, and sleep patterns. The device temporarily stores this data and prepares it for later analysis. 【0088】 Step 3: 【0089】 The device transmits collected lifestyle information and biometric data to a server. Communication typically uses HTTPS, a secure communication protocol over the internet. Its primary role is to integrate personal and biometric data as input and securely transfer it to the server. 【0090】 Step 4: 【0091】 The server stores the received data in a database. During this process, data format conversion and normalization are performed to ensure the information is stored correctly. The database organizes and stores user-specific lifestyle information and biometric data. 【0092】 Step 5: 【0093】 The server analyzes the stored information to understand the user's health status. Data analysis tools such as Python and R are often used for the analysis, extracting health-related patterns such as exercise habits and sleep quality from the input data. The analysis results serve as foundational data for the next steps. 【0094】 Step 6: 【0095】 The server uses an AI model based on the analysis results to generate personalized health guidance for each user. This AI model often utilizes machine learning algorithms. A prompt is entered, and specific examples of new health guidance are generated. Examples include specific guidance such as "Do stretching every morning and aerobic exercise three times a week." 【0096】 Step 7: 【0097】 The generated health guidance is sent from the server to the terminal. The terminal receives this information and notifies the user. Based on this notification, the user adjusts their daily activities according to the health guidance. 【0098】 Step 8: 【0099】 Users input the results of the health guidance they have received into their device. As feedback, they report their impressions of the exercise, changes in their body, and numerical values ​​of health indicators. 【0100】 Step 9: 【0101】 The device sends user feedback to the server. The server then analyzes this information again and uses it to generate subsequent AI models. This process improves the accuracy of the generated health guidance, enabling more effective health management. 【0102】 (Application Example 1) 【0103】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0104】 Conventional health management systems have the drawback of not being able to adequately provide customized guidance based on the individual lifestyle and health condition of users, and lacking continuous, real-time support, thus failing to effectively support the maintenance and improvement of users' health. 【0105】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0106】 In this invention, the server includes means for collecting personal information from users and physical information from sensor devices, processing means for analyzing the user's health status based on the collected information, and means for generating a customized health promotion plan for each user based on the analysis results. This enables individually optimized health management guidance for users and allows for continuous support in real time through an automated device. 【0107】 A "user" is an individual who uses this system, provides personal and physical information, and receives the generated health promotion plan. 【0108】 "Personal information" refers to identifiable information such as a user's occupation and lifestyle, and is fundamental information for customizing health promotion plans. 【0109】 A "sensor device" is a device that measures a user's physical information and provides that data to a system, and includes, for example, devices that measure heart rate and BMI. 【0110】 "Physical information" refers to data necessary to understand the user's health status, such as vital data obtained from sensor devices. 【0111】 "Processing means" refers to functions that include computer programs and algorithms for analyzing collected data and evaluating the user's health status. 【0112】 A "health promotion plan" is a set of specific guidelines generated based on analysis results to maintain and improve the user's health, and includes exercise, nutrition, and sleep improvement. 【0113】 An "automated device" is a robot or other equipment that operates by implementing a generated plan in order to provide exercise instructions and health advice to users in real time. 【0114】 "Feedback" refers to the reactions and results that users provide after implementing a plan, and the system analyzes this feedback to improve the accuracy of future plans. 【0115】 This system provides individual users with customized health promotion plans to maintain and improve their health. The system consists primarily of user terminals, sensor devices, and a server. 【0116】 First, the user uses their own device to input personal information, including their occupation and lifestyle, and transfers physical information measured by the sensor device back to the device. The device then sends this information to a server. The server uses programming languages ​​such as Python to analyze the collected information and evaluate the user's health status. 【0117】 Based on the analyzed data, a generative AI model is used to generate a personalized health promotion plan for each user. This plan includes specific exercise routines, nutritional guidelines, and sleep improvement strategies. The generated plan will differ for each user, tailored to their lifestyle and current situation. 【0118】 The generated health promotion plan is sent from the server to the user's terminal. Furthermore, the plan is implemented in automated devices that support the user on a daily basis, providing real-time exercise instructions and health advice. At this time, devices such as smartphones and smart glasses are used, enabling the user to efficiently and continuously carry out health promotion activities. 【0119】 Users input the results of their plan implementation as feedback into their device, and this data is sent to the server. The server analyzes the feedback and updates the generated AI model to improve the accuracy of the next plan. Through this cycle, users can effectively improve their health in their daily lives. 【0120】 For example, if a yoga plan customized for business people is proposed, the system will provide health advice such as, "Refresh yourself in the afternoon by doing 5 minutes of yoga during your lunch break." 【0121】 An example of a prompt to input into the generation AI model is, "Please suggest a 5-minute yoga routine that can be done at the workplace, suitable for a business person who spends a lot of time at their desk, three times a week." This prompt helps generate a plan that meets the user's specific needs. 【0122】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0123】 Step 1: 【0124】 Users use a terminal to input personal information such as their occupation and lifestyle. Furthermore, physical information measured by sensor devices (e.g., heart rate and BMI) is also captured by the terminal. After this information is accurately entered, it is transmitted from the terminal to the server. The input data is structured and converted into a format for storage in the database. 【0125】 Step 2: 【0126】 The server analyzes the received personal and physical information. The analysis process accesses a database and uses pre-configured algorithms to assess the user's health status. The results are output in the form of health indicators and risk factors, which are used to generate the next health promotion plan. 【0127】 Step 3: 【0128】 Based on the analysis results, the server generates a customized health promotion plan using a generative AI model. This model suggests optimal exercise, nutrition, and sleep improvement measures according to the input prompts. The optimized plan is generated in text format and will be different for each user. 【0129】 Step 4: 【0130】 The generated health promotion plan is sent from the server to the user's device. The device displays the received plan and provides detailed instructions and videos for implementing each activity described in the plan. This allows the user to start health promotion activities based on the instructions. 【0131】 Step 5: 【0132】 After completing the plan, users enter feedback via their device. This feedback includes their impressions of the exercise and information about changes in their body. This information is then sent to the server. 【0133】 Step 6: 【0134】 The server analyzes the collected feedback and updates the generating AI model. During the data analysis process, the feedback data is retrained as new input, improving the accuracy of subsequent plans. This cycle allows users to continuously receive more effective health promotion plans. 【0135】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0136】 This invention combines a system that analyzes an individual's health status and provides an optimal health promotion plan with an emotion engine that recognizes the user's emotions. This system integrates the user's health data and emotional information to provide the user with personalized health maintenance measures. 【0137】 Users input information about their occupation and lifestyle using a device, and also wear sensor devices that acquire physical information. This allows for the collection of a wide range of data (such as BMI, heart rate, body temperature, and fatigue level) from smartwatches and cameras. 【0138】 Furthermore, the device is equipped with a camera and microphone, which collect facial expressions and voice data and send it to a server. This data is analyzed by an emotion engine to recognize the user's emotional state. 【0139】 The server first analyzes the user's health status based on their personal and physical information, and then generates a customized health promotion plan using a generative AI model. In addition, emotional information recognized by the emotion engine is also taken into consideration, and the plan is adjusted to suit the user's mental state and condition on that day. This allows the user to implement health maintenance measures more effectively. 【0140】 The health promotion plans offered include exercise guidance, nutritional guidelines, and sleep improvement strategies, as well as emotionally conscious relaxation methods and mental care. After the user completes the plan, the device collects feedback on the results and changes in the user's emotions, and sends it to the server. The server analyzes this feedback and updates the AI ​​model to improve the accuracy of future plan deliveries. 【0141】 For example, if the emotional engine detects that a user is experiencing stress, a plan combining light exercise and relaxation will be provided for that day. This approach aims to improve the user's short-term psychological well-being and contribute to long-term health improvement. 【0142】 The following describes the processing flow. 【0143】 Step 1: 【0144】 Users use their devices to input personal information such as occupation, lifestyle, and health checkup results. This data forms the basis for creating healthcare plans. 【0145】 Step 2: 【0146】 The device acquires the user's physical information from sensor devices such as smartwatches and cameras. This includes BMI, heart rate, body temperature, and fatigue level. This information is necessary to understand the user's health status in detail. 【0147】 Step 3: 【0148】 The device utilizes cameras and microphones to detect the user's facial expressions and voice, collecting this emotional data. The collected emotional data is then sent to a server. 【0149】 Step 4: 【0150】 The device integrates all collected data (personal information, physical information, emotional data) and transmits it to the server. This integrated data forms the foundation of the entire system. 【0151】 Step 5: 【0152】 The server stores the received data in a database. To analyze this data, it first uses a machine learning algorithm to evaluate the user's health status. 【0153】 Step 6: 【0154】 The server uses a generative AI model to generate a customized health promotion plan based on the user's data. This plan includes exercise, nutrition, and sleep improvement measures. It also adjusts the plan content by considering emotional information recognized by the emotion engine. 【0155】 Step 7: 【0156】 The server sends the generated plan to the user's terminal. 【0157】 Step 8: 【0158】 Users review the provided health promotion plan and incorporate it into their daily lives. Based on this plan, they exercise, adjust their diet, and take other necessary actions. 【0159】 Step 9: 【0160】 Users input feedback on the effects and physical changes they experienced after implementing the plan via their device. They also input any emotional changes they experienced during the plan's implementation. 【0161】 Step 10: 【0162】 The device sends the collected feedback to the server. This feedback includes changes in the user's emotions. 【0163】 Step 11: 【0164】 The server analyzes this feedback and updates the generated AI model. This improves the accuracy of future health promotion plans and prepares to provide users with more effective health maintenance strategies. 【0165】 (Example 2) 【0166】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0167】 Traditional health maintenance systems have a drawback: they only provide plans based on the user's physical condition, lacking health promotion measures that take into account the user's emotional state. As a result, they cannot adequately address stress and emotional fluctuations, making comprehensive health maintenance, including short-term mental care, difficult. 【0168】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0169】 In this invention, the server includes means for collecting personal information from users and physical information from sensor devices; means for analyzing the user's health status based on the collected information; and means for generating a customized health promotion plan for each user, taking into account the user's emotional state using the analysis results and an emotion analysis engine. This makes it possible to provide health promotion measures that appropriately evaluate the user's emotional state and bring about short-term psychological effects. 【0170】 "Personal information" refers to attribute information necessary for analyzing a user's occupation, lifestyle, and other health conditions. 【0171】 A "sensor device" is a device used to collect bodily information such as heart rate, body temperature, and fatigue level. 【0172】 "Physical information" refers to data acquired by sensor devices that is necessary for analyzing a person's health status. 【0173】 An "emotion analysis engine" is an analysis system that identifies emotional states from a user's facial expressions and voice data. 【0174】 A "health promotion plan" is a personalized proposal that includes exercise, nutrition, sleep improvement guidelines, and mental care, based on the user's health and emotional state. 【0175】 "Feedback" refers to information about the emotional and physical changes that users experience after implementing a health promotion plan. 【0176】 This invention is a system that analyzes the user's health and emotional state and provides an optimal health promotion plan. This system mainly consists of terminals and a server. 【0177】 Users input personal information about their occupation and lifestyle using a device. They also wear sensor devices to acquire physical information, using smartwatches and vital signs sensors to collect data such as heart rate, body temperature, and fatigue level. This allows for real-time monitoring of their daily physical condition. 【0178】 Furthermore, the device is equipped with a camera and microphone to collect the user's facial expressions and voice data. The collected data is sent to a server, where an emotion analysis engine recognizes the user's emotional state. For example, if the user appears to be smiling at the camera, the emotion analysis can determine that they are "happy." 【0179】 The server uses a generative AI model based on the received health information and emotional state to generate a health promotion plan tailored to the user. This plan includes not only guidelines for improving exercise, nutrition, and sleep, but also relaxation methods and mental care that are appropriate to the user's emotions. For example, a user experiencing stress could be offered a plan suggesting yoga or relaxation music. 【0180】 An example of a generated health promotion plan is the prompt, "Create an optimal exercise and nutrition plan based on the user's health status today." Based on this prompt, the server uses an AI model to provide a specific plan. 【0181】 After the user completes the plan, the device collects feedback on the completion status and changes in the user's emotions, and sends it to the server. This feedback is used to improve the accuracy of future plan generation. The server analyzes this feedback and updates the AI ​​model to continue providing more accurate health promotion plans. 【0182】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0183】 Step 1: 【0184】 Users input information about their occupation and lifestyle using a device. During this process, the device collects physical information such as heart rate, body temperature, and fatigue level through sensor devices such as smartwatches. This input information is transmitted to a server as personal information. This data is used as foundational information to assess the user's basic health status. 【0185】 Step 2: 【0186】 The device uses its built-in camera and microphone to collect the user's facial expressions and voice data. This data serves as an indicator of emotional state and is sent to the server. The server uses an emotion analysis engine to recognize the user's emotions from their facial expressions and voice. Specifically, it determines whether the user is in an emotional state such as "happy," "stressed," or "calm." 【0187】 Step 3: 【0188】 The server analyzes the user's health status based on the acquired physical and emotional information. It utilizes a generative AI model, using this data as input to generate an optimal health promotion plan for the user. The output includes a customized plan encompassing exercise, nutrition, sleep improvement guidelines, and mental care. 【0189】 Step 4: 【0190】 The generated health promotion plan is delivered from the server to the user's device. The user then works through the plan, which is presented as a set of specific actions. For example, a yoga video might be played on the app as "Today's Exercise Menu." 【0191】 Step 5: 【0192】 Users implement a health promotion plan and input feedback on their impressions and physical changes into a device. The device sends this feedback, along with new physical information and emotional changes acquired during the plan, to a server. This input data is used to improve future plans. 【0193】 Step 6: 【0194】 The server analyzes user feedback data and updates the AI ​​model. This update process evaluates the feedback and newly acquired sentiment data to improve the accuracy of the generated AI model. This entire process results in more accurate plans being generated next time. 【0195】 (Application Example 2) 【0196】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0197】 In modern society, personal health management is a crucial issue, and there is a need to provide effective health promotion plans that address diverse lifestyles and stress levels. However, many conventional systems rely solely on biometric information to create health plans, and they do not adequately consider the user's emotions or mental state. Furthermore, few systems effectively utilize user feedback. These problems need to be addressed. 【0198】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0199】 In this invention, the server includes means for collecting personal data from users and biometric information from sensor devices, processing means for analyzing the user's health status based on the collected data, and means for generating a customized health improvement plan for each user based on the analysis results and the emotional state determined by an emotion analysis engine. This makes it possible to provide a health promotion plan that comprehensively considers the user's physical and mental state. 【0200】 "Personal data" refers to information about an individual, such as their occupation, lifestyle, and other personal details, provided by the user. 【0201】 "Biometric information" refers to physical indicators of the user collected using sensor devices, specifically information such as BMI, heart rate, body temperature, and fatigue level. 【0202】 An "emotion analysis engine" is a system that analyzes facial expressions and voice data to recognize the user's emotional state. 【0203】 A "health improvement plan" is a plan that includes exercise, nutrition, rest, and mental care, created taking into account the individual health and emotional state of each user. 【0204】 "Feedback" refers to information provided by users after they have implemented a health improvement plan, including their impressions of the plan and information about changes in their physical condition. 【0205】 This invention features a system that comprehensively manages an individual's health and emotional state and provides an optimal health improvement plan. The system mainly consists of a server and terminals. 【0206】 The server can receive personal data entered by the user via their device and biometric information collected using sensor devices. This data is collected using smartwatches, cameras, microphones, etc. First, the server analyzes the user's health status based on the biometric information. Furthermore, facial and voice data collected by the camera and microphone installed in the device are analyzed by an emotion analysis engine running on the server to recognize the user's emotional state. 【0207】 Once the analysis is complete, the server generates a customized health improvement plan using a generative AI model, taking into account each user's health and emotional state. This plan includes the user's physical activity, nutritional guidelines, rest improvement strategies, and relaxation methods that take their emotional state into consideration. 【0208】 Users can implement this plan provided on their device. After implementing the plan, users provide feedback about their experience through the device. This feedback includes their impressions of the plan and information about any physical changes they experienced. The server uses this feedback to update the generated AI model and improve the accuracy of future plan provision. 【0209】 For example, if the emotion analysis engine determines that a user is experiencing stress, the health improvement plan for the day will include suggestions for light exercise along with the playback of relaxation music. The generative AI model continues to learn based on the prompt, "Generate a health promotion plan suitable for a user experiencing high levels of stress." 【0210】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0211】 Step 1: 【0212】 The terminal receives personal data from the user as input. This data includes occupation and lifestyle habits. In addition, it collects biometric information from sensor devices worn by the user. The data obtained from this includes heart rate, body temperature, BMI, and fatigue level. This input data is sent to the server. 【0213】 Step 2: 【0214】 The server analyzes personal data and biometric information transmitted from the terminal to assess the user's health status. This analysis uses statistical methods and machine learning algorithms to calculate health indicators. The output generates an assessment result regarding the user's health status. 【0215】 Step 3: 【0216】 The camera and microphone on the device collect facial and audio data and send it to the server. The server processes this input data using an emotion analysis engine. This process identifies the user's emotional state and generates the result as output. 【0217】 Step 4: 【0218】 The server generates a personalized health improvement plan for each user using the results of their health assessment and emotional state identification. This plan generation utilizes a generative AI model, adjusting each element based on pre-configured prompts. The output is a customized health improvement plan. 【0219】 Step 5: 【0220】 Users perform activities based on a health improvement plan presented on their device. After completing the plan, users input feedback about their experience into their device and send it to the server. This feedback includes their impressions of the plan and any changes in their physical condition. 【0221】 Step 6: 【0222】 The server analyzes user feedback and updates the generated AI model. The feedback analysis uses natural language processing techniques to extract important information and incorporate it into the model. This output allows for improved accuracy in future health improvement plans. 【0223】 The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data. 【0224】 Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0225】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14. 【0226】 [Second Embodiment] 【0227】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0228】 As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server. 【0229】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0230】 The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52. 【0231】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0232】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0233】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0234】 Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0235】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0236】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0237】 In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0238】 Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0239】 This invention is a system that provides and supports the implementation of a customized health promotion plan based on an individual's lifestyle and current physical condition, in order to maintain and improve the user's health. The system operates around the user's terminal, sensor devices, and server. 【0240】 The user first enters personal information such as occupation and lifestyle habits through a terminal. Additionally, a sensor device measures the user's physical information, such as BMI and heart rate, and transmits this information to the terminal. The terminal then sends the collected personal and physical information to a server. 【0241】 The server integrates the information and stores it in a database. The stored data is analyzed to identify the user's health status and lifestyle characteristics. Based on this, the server uses a generative AI model to generate a health promotion plan optimized for the user's needs. This plan may include specific exercise routines, nutritional guidelines, and sleep improvement strategies. 【0242】 The generated plan is sent from the server to the user's terminal, and the user can then begin health-promoting activities according to this plan. For example, if a busy business person is suggested to do 20 minutes of yoga a day, they can easily incorporate it into their daily routine. 【0243】 Afterward, the user reports the results of their plan implementation via their device, inputting specific feedback such as exercise performance, physical changes, and perceived effects. The device sends this feedback to a server, which analyzes it to update the AI ​​model and improve the accuracy of future plans. 【0244】 In this way, users can continuously receive and implement individually customized plans, enabling them to effectively maintain and improve their health in their daily lives. 【0245】 The following describes the processing flow. 【0246】 Step 1: 【0247】 Users use their devices to enter personal information such as their occupation, lifestyle, and health checkup results. 【0248】 Step 2: 【0249】 The device acquires physical information such as BMI, heart rate, body temperature, and fatigue level from sensor devices such as smartwatches and cameras. 【0250】 Step 3: 【0251】 The device collects personal and physical information and sends it to the server. 【0252】 Step 4: 【0253】 The server stores the received information in a database and analyzes the integrated data using machine learning algorithms. 【0254】 Step 5: 【0255】 The server uses an AI model based on the analysis results to generate an optimal health plan for the user. This plan includes specific recommendations regarding exercise, nutrition, and sleep. 【0256】 Step 6: 【0257】 The server sends the generated health promotion plan to the user's device. 【0258】 Step 7: 【0259】 Users review the plan they receive through their device and implement it in their daily lives. 【0260】 Step 8: 【0261】 Users input feedback on their device regarding their impressions after implementing the plan, changes in their physical condition, and improvements they have seen. 【0262】 Step 9: 【0263】 The device sends user feedback to the server. 【0264】 Step 10: 【0265】 The server analyzes the feedback and updates the AI ​​model to improve the accuracy of future health promotion plans. 【0266】 (Example 1) 【0267】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0268】 In modern society, health management tailored to individual lifestyles is required, but conventional methods only provide general health guidance, making it difficult to offer optimal health support for each individual. Furthermore, there is a challenge in the insufficient utilization of user feedback to improve the accuracy of health guidance. 【0269】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0270】 In this invention, the server includes means for collecting lifestyle information from the user and biometric data from sensors; processing means for storing the collected information in a database and analyzing the user's health status; and means for generating personalized health guidance using a generative model based on the analysis results. This enables personalized health support for each user. 【0271】 A "user" is an entity that provides lifestyle information and biometric data through the system and receives individually customized health guidance. 【0272】 "Lifestyle information" refers to information related to an individual's living situation, such as their occupation, lifestyle habits, and health concerns. 【0273】 A "sensor" is a device used to acquire a user's physical data, and has functions to measure heart rate, steps taken, sleep patterns, and so on. 【0274】 "Biometric data" refers to information about a user's body obtained through sensors, and is used to analyze their health status. 【0275】 A "server" is a computing device that stores and analyzes information received from users and provides health guidance through generative models. 【0276】 A "generative model" refers to an artificial intelligence model used to create optimized health guidance based on user data. 【0277】 "Health guidance" refers to specific health promotion measures provided to users, including guidelines for exercise, diet, and sleep improvement. 【0278】 "Feedback" refers to information in which users report their impressions and physical changes as a result of health guidance, and this information can be used to improve the accuracy of future health guidance. 【0279】 The system based on this invention analyzes the user's health status and provides individually customized health guidance. The system primarily operates using the user's terminal, sensor devices, and a server. 【0280】 First, the user inputs their lifestyle information using a device. This device is typically a smartphone or tablet. The information the user inputs includes their occupation, lifestyle habits, and health concerns. Furthermore, sensor devices collect the user's biometric data. These devices include smartwatches and fitness trackers, which measure and acquire data such as heart rate, steps taken, and sleep patterns. 【0281】 The acquired data is transmitted to the server via the terminal. The server stores the collected information in a database and uses data analysis tools such as Python and R to analyze the data. User lifestyle information and biometric data are used to analyze health status and gain a comprehensive understanding of the user's health condition. 【0282】 Based on the analysis results, the server uses a generative AI model to generate personalized health guidance for each user. For example, the GPT series of OpenAI may be used in this generative AI model. The generated health guidance includes specific guidelines for exercise, diet, and sleep improvement. 【0283】 The generated health guidance is sent from the server to the user's terminal, and the user utilizes it for daily health promotion activities. For example, guidance such as "Perform aerobic exercise three times a week" or "Do morning stretches every day" may be provided. Feedback from the user reports on the reaction to the activity and physical changes. 【0284】 This feedback is sent back to the server and used to update the AI model. This establishes a cycle in which the accuracy of the generated health guidance gradually improves. 【0285】 As a specific example of a prompt sentence, a sentence in the form of "Create a recommended health plan for a 30-year-old male businessman who lacks exercise, has a lot of stress at work, and stays up late." can be considered. 【0286】 This system can efficiently support the promotion of users' health and achieve individualized customized health management. 【0287】 The flow of the specific process in Example 1 will be described using FIG. 11. 【0288】 Step 1: 【0289】 The user uses their terminal to input lifestyle information. Specifically, the user inputs their occupation, lifestyle habits, and health concerns into a dedicated application on a smartphone or tablet. The information input is used as data for the system to identify the user's behavior patterns and health risks. 【0290】 Step 2: 【0291】 The device acquires biometric data from sensor devices. These sensor devices are often smartwatches or fitness trackers. These devices acquire real-time biometric data such as the user's heart rate, steps taken, and sleep patterns. The device temporarily stores this data and prepares it for later analysis. 【0292】 Step 3: 【0293】 The device transmits collected lifestyle information and biometric data to a server. Communication typically uses HTTPS, a secure communication protocol over the internet. Its primary role is to integrate personal and biometric data as input and securely transfer it to the server. 【0294】 Step 4: 【0295】 The server stores the received data in a database. During this process, data format conversion and normalization are performed to ensure the information is stored correctly. The database organizes and stores user-specific lifestyle information and biometric data. 【0296】 Step 5: 【0297】 The server analyzes the stored information to understand the user's health status. Data analysis tools such as Python and R are often used for the analysis, extracting health-related patterns such as exercise habits and sleep quality from the input data. The analysis results serve as foundational data for the next steps. 【0298】 Step 6: 【0299】 The server uses the generated AI model based on the analysis results to generate health guidance optimized for each user. This AI model often utilizes machine learning algorithms. When a prompt sentence is input, specific examples as new health guidance are generated. Specific guidance such as "Do morning stretches and aerobic exercise three times a week" is included as an example. 【0300】 Step 7: 【0301】 The generated health guidance is sent from the server to the terminal. The terminal receives this information and notifies the user. Based on this notification, the user adjusts their daily activities according to the health guidance. 【0302】 Step 8: 【0303】 The user inputs the results based on the executed health guidance into the terminal. As feedback, they report feelings when exercising, physical changes, numerical values of health indicators, etc. 【0304】 Step 9: 【0305】 The terminal sends the feedback from the user to the server. The server analyzes this information again and utilizes it for the generation of the AI model in subsequent times. Through this process, the accuracy of the generated health guidance is improved, enabling more effective health management. 【0306】 (Application Example 1) 【0307】 Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal". 【0308】 The conventional health management system has a problem that it cannot sufficiently provide customized guidance based on the individual lifestyles and health conditions of users, and also lacks continuous and real-time support, so it cannot effectively support the maintenance and improvement of users' health. 【0309】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0310】 In this invention, the server includes means for collecting personal information from users and physical information from sensor devices, processing means for analyzing the user's health status based on the collected information, and means for generating a customized health promotion plan for each user based on the analysis results. This enables individually optimized health management guidance for users and allows for continuous support in real time through an automated device. 【0311】 A "user" is an individual who uses this system, provides personal and physical information, and receives the generated health promotion plan. 【0312】 "Personal information" refers to identifiable information such as a user's occupation and lifestyle, and is fundamental information for customizing health promotion plans. 【0313】 A "sensor device" is a device that measures a user's physical information and provides that data to a system, and includes, for example, devices that measure heart rate and BMI. 【0314】 "Physical information" refers to data necessary to understand the user's health status, such as vital data obtained from sensor devices. 【0315】 "Processing means" refers to functions that include computer programs and algorithms for analyzing collected data and evaluating the user's health status. 【0316】 A "health promotion plan" is a set of specific guidelines generated based on analysis results to maintain and improve the user's health, and includes exercise, nutrition, and sleep improvement. 【0317】 An "automated device" is a robot or other equipment that operates by implementing a generated plan in order to provide exercise instructions and health advice to users in real time. 【0318】 "Feedback" refers to the reactions and results that users provide after implementing a plan, and the system analyzes this feedback to improve the accuracy of future plans. 【0319】 This system provides individual users with customized health promotion plans to maintain and improve their health. The system consists primarily of user terminals, sensor devices, and a server. 【0320】 First, the user uses their own device to input personal information, including their occupation and lifestyle, and transfers physical information measured by the sensor device back to the device. The device then sends this information to a server. The server uses programming languages ​​such as Python to analyze the collected information and evaluate the user's health status. 【0321】 Based on the analyzed data, a generative AI model is used to generate a personalized health promotion plan for each user. This plan includes specific exercise routines, nutritional guidelines, and sleep improvement strategies. The generated plan will differ for each user, tailored to their lifestyle and current situation. 【0322】 The generated health promotion plan is sent from the server to the user's terminal. Furthermore, the plan is implemented in automated devices that support the user on a daily basis, providing real-time exercise instructions and health advice. At this time, devices such as smartphones and smart glasses are used, enabling the user to efficiently and continuously carry out health promotion activities. 【0323】 Users input the results of their plan implementation as feedback into their device, and this data is sent to the server. The server analyzes the feedback and updates the generated AI model to improve the accuracy of the next plan. Through this cycle, users can effectively improve their health in their daily lives. 【0324】 For example, if a yoga plan customized for business people is proposed, the system will provide health advice such as, "Refresh yourself in the afternoon by doing 5 minutes of yoga during your lunch break." 【0325】 An example of a prompt to input into the generation AI model is, "Please suggest a 5-minute yoga routine that can be done at the workplace, suitable for a business person who spends a lot of time at their desk, three times a week." This prompt helps generate a plan that meets the user's specific needs. 【0326】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0327】 Step 1: 【0328】 Users use a terminal to input personal information such as their occupation and lifestyle. Furthermore, physical information measured by sensor devices (e.g., heart rate and BMI) is also captured by the terminal. After this information is accurately entered, it is transmitted from the terminal to the server. The input data is structured and converted into a format for storage in the database. 【0329】 Step 2: 【0330】 The server analyzes the received personal and physical information. The analysis process accesses a database and uses pre-configured algorithms to assess the user's health status. The results are output in the form of health indicators and risk factors, which are used to generate the next health promotion plan. 【0331】 Step 3: 【0332】 Based on the analysis results, the server generates a customized health promotion plan using a generative AI model. This model suggests optimal exercise, nutrition, and sleep improvement measures according to the input prompts. The optimized plan is generated in text format and will be different for each user. 【0333】 Step 4: 【0334】 The generated health promotion plan is sent from the server to the user's device. The device displays the received plan and provides detailed instructions and videos for implementing each activity described in the plan. This allows the user to start health promotion activities based on the instructions. 【0335】 Step 5: 【0336】 After completing the plan, users enter feedback via their device. This feedback includes their impressions of the exercise and information about changes in their body. This information is then sent to the server. 【0337】 Step 6: 【0338】 The server analyzes the collected feedback and updates the generating AI model. During the data analysis process, the feedback data is retrained as new input, improving the accuracy of subsequent plans. This cycle allows users to continuously receive more effective health promotion plans. 【0339】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0340】 This invention combines a system that analyzes an individual's health status and provides an optimal health promotion plan with an emotion engine that recognizes the user's emotions. This system integrates the user's health data and emotional information to provide the user with personalized health maintenance measures. 【0341】 Users input information about their occupation and lifestyle using a device, and also wear sensor devices that acquire physical information. This allows for the collection of a wide range of data (such as BMI, heart rate, body temperature, and fatigue level) from smartwatches and cameras. 【0342】 Furthermore, the device is equipped with a camera and microphone, which collect facial expressions and voice data and send it to a server. This data is analyzed by an emotion engine to recognize the user's emotional state. 【0343】 The server first analyzes the user's health status based on their personal and physical information, and then generates a customized health promotion plan using a generative AI model. In addition, emotional information recognized by the emotion engine is also taken into consideration, and the plan is adjusted to suit the user's mental state and condition on that day. This allows the user to implement health maintenance measures more effectively. 【0344】 The health promotion plans offered include exercise guidance, nutritional guidelines, and sleep improvement strategies, as well as emotionally conscious relaxation methods and mental care. After the user completes the plan, the device collects feedback on the results and changes in the user's emotions, and sends it to the server. The server analyzes this feedback and updates the AI ​​model to improve the accuracy of future plan deliveries. 【0345】 For example, if the emotional engine detects that a user is experiencing stress, a plan combining light exercise and relaxation will be provided for that day. This approach aims to improve the user's short-term psychological well-being and contribute to long-term health improvement. 【0346】 The following describes the processing flow. 【0347】 Step 1: 【0348】 Users use their devices to input personal information such as occupation, lifestyle, and health checkup results. This data forms the basis for creating healthcare plans. 【0349】 Step 2: 【0350】 The device acquires the user's physical information from sensor devices such as smartwatches and cameras. This includes BMI, heart rate, body temperature, and fatigue level. This information is necessary to understand the user's health status in detail. 【0351】 Step 3: 【0352】 The device utilizes cameras and microphones to detect the user's facial expressions and voice, collecting this emotional data. The collected emotional data is then sent to a server. 【0353】 Step 4: 【0354】 The device integrates all collected data (personal information, physical information, emotional data) and transmits it to the server. This integrated data forms the foundation of the entire system. 【0355】 Step 5: 【0356】 The server stores the received data in a database. To analyze this data, it first uses a machine learning algorithm to evaluate the user's health status. 【0357】 Step 6: 【0358】 The server uses a generative AI model to generate a customized health promotion plan based on the user's data. This plan includes exercise, nutrition, and sleep improvement measures. It also adjusts the plan content by considering emotional information recognized by the emotion engine. 【0359】 Step 7: 【0360】 The server sends the generated plan to the user's terminal. 【0361】 Step 8: 【0362】 Users review the provided health promotion plan and incorporate it into their daily lives. Based on this plan, they exercise, adjust their diet, and take other necessary actions. 【0363】 Step 9: 【0364】 Users input feedback on the effects and physical changes they experienced after implementing the plan via their device. They also input any emotional changes they experienced during the plan's implementation. 【0365】 Step 10: 【0366】 The device sends the collected feedback to the server. This feedback includes changes in the user's emotions. 【0367】 Step 11: 【0368】 The server analyzes this feedback and updates the generated AI model. This improves the accuracy of future health promotion plans and prepares to provide users with more effective health maintenance strategies. 【0369】 (Example 2) 【0370】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0371】 Traditional health maintenance systems have a drawback: they only provide plans based on the user's physical condition, lacking health promotion measures that take into account the user's emotional state. As a result, they cannot adequately address stress and emotional fluctuations, making comprehensive health maintenance, including short-term mental care, difficult. 【0372】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0373】 In this invention, the server includes means for collecting personal information from users and physical information from sensor devices; means for analyzing the user's health status based on the collected information; and means for generating a customized health promotion plan for each user, taking into account the user's emotional state using the analysis results and an emotion analysis engine. This makes it possible to provide health promotion measures that appropriately evaluate the user's emotional state and bring about short-term psychological effects. 【0374】 "Personal information" refers to attribute information necessary for analyzing a user's occupation, lifestyle, and other health conditions. 【0375】 A "sensor device" is a device used to collect bodily information such as heart rate, body temperature, and fatigue level. 【0376】 "Physical information" refers to data acquired by sensor devices that is necessary for analyzing a person's health status. 【0377】 An "emotion analysis engine" is an analysis system that identifies emotional states from a user's facial expressions and voice data. 【0378】 A "health promotion plan" is a personalized proposal that includes exercise, nutrition, sleep improvement guidelines, and mental care, based on the user's health and emotional state. 【0379】 "Feedback" refers to information about the emotional and physical changes that users experience after implementing a health promotion plan. 【0380】 This invention is a system that analyzes the user's health and emotional state and provides an optimal health promotion plan. This system mainly consists of terminals and a server. 【0381】 Users input personal information about their occupation and lifestyle using a device. They also wear sensor devices to acquire physical information, using smartwatches and vital signs sensors to collect data such as heart rate, body temperature, and fatigue level. This allows for real-time monitoring of their daily physical condition. 【0382】 Furthermore, the device is equipped with a camera and microphone to collect the user's facial expressions and voice data. The collected data is sent to a server, where an emotion analysis engine recognizes the user's emotional state. For example, if the user appears to be smiling at the camera, the emotion analysis can determine that they are "happy." 【0383】 The server uses a generative AI model based on the received health information and emotional state to generate a health promotion plan tailored to the user. This plan includes not only guidelines for improving exercise, nutrition, and sleep, but also relaxation methods and mental care that are appropriate to the user's emotions. For example, a user experiencing stress could be offered a plan suggesting yoga or relaxation music. 【0384】 An example of a generated health promotion plan is the prompt, "Create an optimal exercise and nutrition plan based on the user's health status today." Based on this prompt, the server uses an AI model to provide a specific plan. 【0385】 After the user completes the plan, the device collects feedback on the completion status and changes in the user's emotions, and sends it to the server. This feedback is used to improve the accuracy of future plan generation. The server analyzes this feedback and updates the AI ​​model to continue providing more accurate health promotion plans. 【0386】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0387】 Step 1: 【0388】 Users input information about their occupation and lifestyle using a device. During this process, the device collects physical information such as heart rate, body temperature, and fatigue level through sensor devices such as smartwatches. This input information is transmitted to a server as personal information. This data is used as foundational information to assess the user's basic health status. 【0389】 Step 2: 【0390】 The device uses its built-in camera and microphone to collect the user's facial expressions and voice data. This data serves as an indicator of emotional state and is sent to the server. The server uses an emotion analysis engine to recognize the user's emotions from their facial expressions and voice. Specifically, it determines whether the user is in an emotional state such as "happy," "stressed," or "calm." 【0391】 Step 3: 【0392】 The server analyzes the user's health status based on the acquired physical and emotional information. It utilizes a generative AI model, using this data as input to generate an optimal health promotion plan for the user. The output includes a customized plan encompassing exercise, nutrition, sleep improvement guidelines, and mental care. 【0393】 Step 4: 【0394】 The generated health promotion plan is delivered from the server to the user's device. The user then works through the plan, which is presented as a set of specific actions. For example, a yoga video might be played on the app as "Today's Exercise Menu." 【0395】 Step 5: 【0396】 Users implement a health promotion plan and input feedback on their impressions and physical changes into a device. The device sends this feedback, along with new physical information and emotional changes acquired during the plan, to a server. This input data is used to improve future plans. 【0397】 Step 6: 【0398】 The server analyzes user feedback data and updates the AI ​​model. This update process evaluates the feedback and newly acquired sentiment data to improve the accuracy of the generated AI model. This entire process results in more accurate plans being generated next time. 【0399】 (Application Example 2) 【0400】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0401】 In modern society, personal health management is a crucial issue, and there is a need to provide effective health promotion plans that address diverse lifestyles and stress levels. However, many conventional systems rely solely on biometric information to create health plans, and they do not adequately consider the user's emotions or mental state. Furthermore, few systems effectively utilize user feedback. These problems need to be addressed. 【0402】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0403】 In this invention, the server includes means for collecting personal data from users and biometric information from sensor devices, processing means for analyzing the user's health status based on the collected data, and means for generating a customized health improvement plan for each user based on the analysis results and the emotional state determined by an emotion analysis engine. This makes it possible to provide a health promotion plan that comprehensively considers the user's physical and mental state. 【0404】 "Personal data" refers to information about an individual, such as their occupation, lifestyle, and other personal details, provided by the user. 【0405】 "Biometric information" refers to physical indicators of the user collected using sensor devices, specifically information such as BMI, heart rate, body temperature, and fatigue level. 【0406】 An "emotion analysis engine" is a system that analyzes facial expressions and voice data to recognize the user's emotional state. 【0407】 A "health improvement plan" is a plan that includes exercise, nutrition, rest, and mental care, created taking into account the individual health and emotional state of each user. 【0408】 "Feedback" refers to information provided by users after they have implemented a health improvement plan, including their impressions of the plan and information about changes in their physical condition. 【0409】 This invention features a system that comprehensively manages an individual's health and emotional state and provides an optimal health improvement plan. The system mainly consists of a server and terminals. 【0410】 The server can receive personal data entered by the user via their device and biometric information collected using sensor devices. This data is collected using smartwatches, cameras, microphones, etc. First, the server analyzes the user's health status based on the biometric information. Furthermore, facial and voice data collected by the camera and microphone installed in the device are analyzed by an emotion analysis engine running on the server to recognize the user's emotional state. 【0411】 Once the analysis is complete, the server generates a customized health improvement plan using a generative AI model, taking into account each user's health and emotional state. This plan includes the user's physical activity, nutritional guidelines, rest improvement strategies, and relaxation methods that take their emotional state into consideration. 【0412】 Users can implement this plan provided on their device. After implementing the plan, users provide feedback about their experience through the device. This feedback includes their impressions of the plan and information about any physical changes they experienced. The server uses this feedback to update the generated AI model and improve the accuracy of future plan provision. 【0413】 For example, if the emotion analysis engine determines that a user is experiencing stress, the health improvement plan for the day will include suggestions for light exercise along with the playback of relaxation music. The generative AI model continues to learn based on the prompt, "Generate a health promotion plan suitable for a user experiencing high levels of stress." 【0414】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0415】 Step 1: 【0416】 The terminal receives personal data from the user as input. This data includes occupation and lifestyle habits. In addition, it collects biometric information from sensor devices worn by the user. The data obtained from this includes heart rate, body temperature, BMI, and fatigue level. This input data is sent to the server. 【0417】 Step 2: 【0418】 The server analyzes personal data and biometric information transmitted from the terminal to assess the user's health status. This analysis uses statistical methods and machine learning algorithms to calculate health indicators. The output generates an assessment result regarding the user's health status. 【0419】 Step 3: 【0420】 The camera and microphone on the device collect facial and audio data and send it to the server. The server processes this input data using an emotion analysis engine. This process identifies the user's emotional state and generates the result as output. 【0421】 Step 4: 【0422】 The server generates a personalized health improvement plan for each user using the results of their health assessment and emotional state identification. This plan generation utilizes a generative AI model, adjusting each element based on pre-configured prompts. The output is a customized health improvement plan. 【0423】 Step 5: 【0424】 Users perform activities based on a health improvement plan presented on their device. After completing the plan, users input feedback about their experience into their device and send it to the server. This feedback includes their impressions of the plan and any changes in their physical condition. 【0425】 Step 6: 【0426】 The server analyzes user feedback and updates the generated AI model. The feedback analysis uses natural language processing techniques to extract important information and incorporate it into the model. This output allows for improved accuracy in future health improvement plans. 【0427】 The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0428】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0429】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214. 【0430】 [Third Embodiment] 【0431】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0432】 As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server. 【0433】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0434】 The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52. 【0435】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0436】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0437】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0438】 Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0439】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0440】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0441】 In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0442】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal". 【0443】 This invention is a system that provides and supports the implementation of a customized health promotion plan based on an individual's lifestyle and current physical condition, in order to maintain and improve the user's health. The system operates around the user's terminal, sensor devices, and server. 【0444】 The user first enters personal information such as occupation and lifestyle habits through a terminal. Additionally, a sensor device measures the user's physical information, such as BMI and heart rate, and transmits this information to the terminal. The terminal then sends the collected personal and physical information to a server. 【0445】 The server integrates the information and stores it in a database. The stored data is analyzed to identify the user's health status and lifestyle characteristics. Based on this, the server uses a generative AI model to generate a health promotion plan optimized for the user's needs. This plan may include specific exercise routines, nutritional guidelines, and sleep improvement strategies. 【0446】 The generated plan is sent from the server to the user's terminal, and the user can then begin health-promoting activities according to this plan. For example, if a busy business person is suggested to do 20 minutes of yoga a day, they can easily incorporate it into their daily routine. 【0447】 Afterward, the user reports the results of their plan implementation via their device, inputting specific feedback such as exercise performance, physical changes, and perceived effects. The device sends this feedback to a server, which analyzes it to update the AI ​​model and improve the accuracy of future plans. 【0448】 In this way, users can continuously receive and implement individually customized plans, enabling them to effectively maintain and improve their health in their daily lives. 【0449】 The following describes the processing flow. 【0450】 Step 1: 【0451】 Users use their devices to enter personal information such as their occupation, lifestyle, and health checkup results. 【0452】 Step 2: 【0453】 The device acquires physical information such as BMI, heart rate, body temperature, and fatigue level from sensor devices such as smartwatches and cameras. 【0454】 Step 3: 【0455】 The device collects personal and physical information and sends it to the server. 【0456】 Step 4: 【0457】 The server stores the received information in a database and analyzes the integrated data using machine learning algorithms. 【0458】 Step 5: 【0459】 The server uses an AI model based on the analysis results to generate an optimal health plan for the user. This plan includes specific recommendations regarding exercise, nutrition, and sleep. 【0460】 Step 6: 【0461】 The server sends the generated health promotion plan to the user's device. 【0462】 Step 7: 【0463】 Users review the plan they receive through their device and implement it in their daily lives. 【0464】 Step 8: 【0465】 Users input feedback on their device regarding their impressions after implementing the plan, changes in their physical condition, and improvements they have seen. 【0466】 Step 9: 【0467】 The device sends user feedback to the server. 【0468】 Step 10: 【0469】 The server analyzes the feedback and updates the AI ​​model to improve the accuracy of future health promotion plans. 【0470】 (Example 1) 【0471】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0472】 In modern society, health management tailored to individual lifestyles is required, but conventional methods only provide general health guidance, making it difficult to offer optimal health support for each individual. Furthermore, there is a challenge in the insufficient utilization of user feedback to improve the accuracy of health guidance. 【0473】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0474】 In this invention, the server includes means for collecting lifestyle information from the user and biometric data from sensors; processing means for storing the collected information in a database and analyzing the user's health status; and means for generating personalized health guidance using a generative model based on the analysis results. This enables personalized health support for each user. 【0475】 A "user" is an entity that provides lifestyle information and biometric data through the system and receives individually customized health guidance. 【0476】 "Lifestyle information" refers to information related to an individual's living situation, such as their occupation, lifestyle habits, and health concerns. 【0477】 A "sensor" is a device used to acquire a user's physical data, and has functions to measure heart rate, steps taken, sleep patterns, and so on. 【0478】 "Biometric data" refers to information about a user's body obtained through sensors, and is used to analyze their health status. 【0479】 A "server" is a computing device that stores and analyzes information received from users and provides health guidance through generative models. 【0480】 A "generative model" refers to an artificial intelligence model used to create optimized health guidance based on user data. 【0481】 "Health guidance" refers to specific health promotion measures provided to users, including guidelines for exercise, diet, and sleep improvement. 【0482】 "Feedback" refers to information in which users report their impressions and physical changes as a result of health guidance, and this information can be used to improve the accuracy of future health guidance. 【0483】 The system based on this invention analyzes the user's health status and provides individually customized health guidance. The system primarily operates using the user's terminal, sensor devices, and a server. 【0484】 First, the user inputs their lifestyle information using a device. This device is typically a smartphone or tablet. The information the user inputs includes their occupation, lifestyle habits, and health concerns. Furthermore, sensor devices collect the user's biometric data. These devices include smartwatches and fitness trackers, which measure and acquire data such as heart rate, steps taken, and sleep patterns. 【0485】 The acquired data is transmitted to the server via the terminal. The server stores the collected information in a database and uses data analysis tools such as Python and R to analyze the data. User lifestyle information and biometric data are used to analyze health status and gain a comprehensive understanding of the user's health condition. 【0486】 Based on the analysis results, the server uses a generative AI model to generate personalized health guidance for each user. This generative AI model may include, for example, OpenAI's GPT series. The generated health guidance includes specific plans for exercise, diet, and sleep improvement. 【0487】 The generated health guidance is sent from the server to the user's terminal, and the user uses it to promote their daily health. For example, guidance such as "do aerobic exercise three times a week" or "do stretching every morning" may be provided. User feedback includes reports on their reactions to the activities and any physical changes they experience. 【0488】 This feedback is sent back to the server and used to update the AI ​​model. This establishes a cycle in which the accuracy of the generated health guidance gradually improves. 【0489】 A concrete example of a prompt message could be: "A male businessman in his 30s, who is sedentary, experiences a lot of stress at work, and often stays up late. Please create a health plan recommended for this user." 【0490】 This system can efficiently support users in promoting their health and provide individually customized health management. 【0491】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0492】 Step 1: 【0493】 Users input lifestyle information using their own devices. Specifically, they enter their occupation, lifestyle habits, and health concerns into a dedicated application on their smartphone or tablet. The information entered is used by the system to identify the user's behavioral patterns and health risks. 【0494】 Step 2: 【0495】 The device acquires biometric data from sensor devices. These sensor devices are often smartwatches or fitness trackers. These devices acquire real-time biometric data such as the user's heart rate, steps taken, and sleep patterns. The device temporarily stores this data and prepares it for later analysis. 【0496】 Step 3: 【0497】 The device transmits collected lifestyle information and biometric data to a server. Communication typically uses HTTPS, a secure communication protocol over the internet. Its primary role is to integrate personal and biometric data as input and securely transfer it to the server. 【0498】 Step 4: 【0499】 The server stores the received data in a database. During this process, data format conversion and normalization are performed to ensure the information is stored correctly. The database organizes and stores user-specific lifestyle information and biometric data. 【0500】 Step 5: 【0501】 The server analyzes the stored information to understand the user's health status. Data analysis tools such as Python and R are often used for the analysis, extracting health-related patterns such as exercise habits and sleep quality from the input data. The analysis results serve as foundational data for the next steps. 【0502】 Step 6: 【0503】 The server uses an AI model based on the analysis results to generate personalized health guidance for each user. This AI model often utilizes machine learning algorithms. A prompt is entered, and specific examples of new health guidance are generated. Examples include specific guidance such as "Do stretching every morning and aerobic exercise three times a week." 【0504】 Step 7: 【0505】 The generated health guidance is sent from the server to the terminal. The terminal receives this information and notifies the user. Based on this notification, the user adjusts their daily activities according to the health guidance. 【0506】 Step 8: 【0507】 Users input the results of the health guidance they have received into their device. As feedback, they report their impressions of the exercise, changes in their body, and numerical values ​​of health indicators. 【0508】 Step 9: 【0509】 The device sends user feedback to the server. The server then analyzes this information again and uses it to generate subsequent AI models. This process improves the accuracy of the generated health guidance, enabling more effective health management. 【0510】 (Application Example 1) 【0511】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0512】 Conventional health management systems have the drawback of not being able to adequately provide customized guidance based on the individual lifestyle and health condition of users, and lacking continuous, real-time support, thus failing to effectively support the maintenance and improvement of users' health. 【0513】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0514】 In this invention, the server includes means for collecting personal information from users and physical information from sensor devices, processing means for analyzing the user's health status based on the collected information, and means for generating a customized health promotion plan for each user based on the analysis results. This enables individually optimized health management guidance for users and allows for continuous support in real time through an automated device. 【0515】 A "user" is an individual who uses this system, provides personal and physical information, and receives the generated health promotion plan. 【0516】 "Personal information" refers to identifiable information such as a user's occupation and lifestyle, and is fundamental information for customizing health promotion plans. 【0517】 A "sensor device" is a device that measures a user's physical information and provides that data to a system, and includes, for example, devices that measure heart rate and BMI. 【0518】 "Physical information" refers to data necessary to understand the user's health status, such as vital data obtained from sensor devices. 【0519】 "Processing means" refers to functions that include computer programs and algorithms for analyzing collected data and evaluating the user's health status. 【0520】 A "health promotion plan" is a set of specific guidelines generated based on analysis results to maintain and improve the user's health, and includes exercise, nutrition, and sleep improvement. 【0521】 An "automated device" is a robot or other equipment that operates by implementing a generated plan in order to provide exercise instructions and health advice to users in real time. 【0522】 "Feedback" refers to the reactions and results that users provide after implementing a plan, and the system analyzes this feedback to improve the accuracy of future plans. 【0523】 This system provides individual users with customized health promotion plans to maintain and improve their health. The system consists primarily of user terminals, sensor devices, and a server. 【0524】 First, the user uses their own device to input personal information, including their occupation and lifestyle, and transfers physical information measured by the sensor device back to the device. The device then sends this information to a server. The server uses programming languages ​​such as Python to analyze the collected information and evaluate the user's health status. 【0525】 Based on the analyzed data, a generative AI model is used to generate a personalized health promotion plan for each user. This plan includes specific exercise routines, nutritional guidelines, and sleep improvement strategies. The generated plan will differ for each user, tailored to their lifestyle and current situation. 【0526】 The generated health promotion plan is sent from the server to the user's terminal. Furthermore, the plan is implemented in automated devices that support the user on a daily basis, providing real-time exercise instructions and health advice. At this time, devices such as smartphones and smart glasses are used, enabling the user to efficiently and continuously carry out health promotion activities. 【0527】 Users input the results of their plan implementation as feedback into their device, and this data is sent to the server. The server analyzes the feedback and updates the generated AI model to improve the accuracy of the next plan. Through this cycle, users can effectively improve their health in their daily lives. 【0528】 For example, if a yoga plan customized for business people is proposed, the system will provide health advice such as, "Refresh yourself in the afternoon by doing 5 minutes of yoga during your lunch break." 【0529】 An example of a prompt to input into the generation AI model is, "Please suggest a 5-minute yoga routine that can be done at the workplace, suitable for a business person who spends a lot of time at their desk, three times a week." This prompt helps generate a plan that meets the user's specific needs. 【0530】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0531】 Step 1: 【0532】 Users use a terminal to input personal information such as their occupation and lifestyle. Furthermore, physical information measured by sensor devices (e.g., heart rate and BMI) is also captured by the terminal. After this information is accurately entered, it is transmitted from the terminal to the server. The input data is structured and converted into a format for storage in the database. 【0533】 Step 2: 【0534】 The server analyzes the received personal and physical information. The analysis process accesses a database and uses pre-configured algorithms to assess the user's health status. The results are output in the form of health indicators and risk factors, which are used to generate the next health promotion plan. 【0535】 Step 3: 【0536】 Based on the analysis results, the server generates a customized health promotion plan using a generative AI model. This model suggests optimal exercise, nutrition, and sleep improvement measures according to the input prompts. The optimized plan is generated in text format and will be different for each user. 【0537】 Step 4: 【0538】 The generated health promotion plan is sent from the server to the user's device. The device displays the received plan and provides detailed instructions and videos for implementing each activity described in the plan. This allows the user to start health promotion activities based on the instructions. 【0539】 Step 5: 【0540】 After completing the plan, users enter feedback via their device. This feedback includes their impressions of the exercise and information about changes in their body. This information is then sent to the server. 【0541】 Step 6: 【0542】 The server analyzes the collected feedback and updates the generating AI model. During the data analysis process, the feedback data is retrained as new input, improving the accuracy of subsequent plans. This cycle allows users to continuously receive more effective health promotion plans. 【0543】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0544】 This invention combines a system that analyzes an individual's health status and provides an optimal health promotion plan with an emotion engine that recognizes the user's emotions. This system integrates the user's health data and emotional information to provide the user with personalized health maintenance measures. 【0545】 Users input information about their occupation and lifestyle using a device, and also wear sensor devices that acquire physical information. This allows for the collection of a wide range of data (such as BMI, heart rate, body temperature, and fatigue level) from smartwatches and cameras. 【0546】 Furthermore, the device is equipped with a camera and microphone, which collect facial expressions and voice data and send it to a server. This data is analyzed by an emotion engine to recognize the user's emotional state. 【0547】 The server first analyzes the user's health status based on their personal and physical information, and then generates a customized health promotion plan using a generative AI model. In addition, emotional information recognized by the emotion engine is also taken into consideration, and the plan is adjusted to suit the user's mental state and condition on that day. This allows the user to implement health maintenance measures more effectively. 【0548】 The health promotion plans offered include exercise guidance, nutritional guidelines, and sleep improvement strategies, as well as emotionally conscious relaxation methods and mental care. After the user completes the plan, the device collects feedback on the results and changes in the user's emotions, and sends it to the server. The server analyzes this feedback and updates the AI ​​model to improve the accuracy of future plan deliveries. 【0549】 For example, if the emotional engine detects that a user is experiencing stress, a plan combining light exercise and relaxation will be provided for that day. This approach aims to improve the user's short-term psychological well-being and contribute to long-term health improvement. 【0550】 The following describes the processing flow. 【0551】 Step 1: 【0552】 Users use their devices to input personal information such as occupation, lifestyle, and health checkup results. This data forms the basis for creating healthcare plans. 【0553】 Step 2: 【0554】 The device acquires the user's physical information from sensor devices such as smartwatches and cameras. This includes BMI, heart rate, body temperature, and fatigue level. This information is necessary to understand the user's health status in detail. 【0555】 Step 3: 【0556】 The device utilizes cameras and microphones to detect the user's facial expressions and voice, collecting this emotional data. The collected emotional data is then sent to a server. 【0557】 Step 4: 【0558】 The device integrates all collected data (personal information, physical information, emotional data) and transmits it to the server. This integrated data forms the foundation of the entire system. 【0559】 Step 5: 【0560】 The server stores the received data in a database. To analyze this data, it first uses a machine learning algorithm to evaluate the user's health status. 【0561】 Step 6: 【0562】 The server uses a generative AI model to generate a customized health promotion plan based on the user's data. This plan includes exercise, nutrition, and sleep improvement measures. It also adjusts the plan content by considering emotional information recognized by the emotion engine. 【0563】 Step 7: 【0564】 The server sends the generated plan to the user's terminal. 【0565】 Step 8: 【0566】 Users review the provided health promotion plan and incorporate it into their daily lives. Based on this plan, they exercise, adjust their diet, and take other necessary actions. 【0567】 Step 9: 【0568】 Users input feedback on the effects and physical changes they experienced after implementing the plan via their device. They also input any emotional changes they experienced during the plan's implementation. 【0569】 Step 10: 【0570】 The device sends the collected feedback to the server. This feedback includes changes in the user's emotions. 【0571】 Step 11: 【0572】 The server analyzes this feedback and updates the generated AI model. This improves the accuracy of future health promotion plans and prepares to provide users with more effective health maintenance strategies. 【0573】 (Example 2) 【0574】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0575】 Traditional health maintenance systems have a drawback: they only provide plans based on the user's physical condition, lacking health promotion measures that take into account the user's emotional state. As a result, they cannot adequately address stress and emotional fluctuations, making comprehensive health maintenance, including short-term mental care, difficult. 【0576】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0577】 In this invention, the server includes means for collecting personal information from users and physical information from sensor devices; means for analyzing the user's health status based on the collected information; and means for generating a customized health promotion plan for each user, taking into account the user's emotional state using the analysis results and an emotion analysis engine. This makes it possible to provide health promotion measures that appropriately evaluate the user's emotional state and bring about short-term psychological effects. 【0578】 "Personal information" refers to attribute information necessary for analyzing a user's occupation, lifestyle, and other health conditions. 【0579】 A "sensor device" is a device used to collect bodily information such as heart rate, body temperature, and fatigue level. 【0580】 "Physical information" refers to data acquired by sensor devices that is necessary for analyzing a person's health status. 【0581】 An "emotion analysis engine" is an analysis system that identifies emotional states from a user's facial expressions and voice data. 【0582】 A "health promotion plan" is a personalized proposal that includes exercise, nutrition, sleep improvement guidelines, and mental care, based on the user's health and emotional state. 【0583】 "Feedback" refers to information about the emotional and physical changes that users experience after implementing a health promotion plan. 【0584】 This invention is a system that analyzes the user's health and emotional state and provides an optimal health promotion plan. This system mainly consists of terminals and a server. 【0585】 Users input personal information about their occupation and lifestyle using a device. They also wear sensor devices to acquire physical information, using smartwatches and vital signs sensors to collect data such as heart rate, body temperature, and fatigue level. This allows for real-time monitoring of their daily physical condition. 【0586】 Furthermore, the device is equipped with a camera and microphone to collect the user's facial expressions and voice data. The collected data is sent to a server, where an emotion analysis engine recognizes the user's emotional state. For example, if the user appears to be smiling at the camera, the emotion analysis can determine that they are "happy." 【0587】 The server uses a generative AI model based on the received health information and emotional state to generate a health promotion plan tailored to the user. This plan includes not only guidelines for improving exercise, nutrition, and sleep, but also relaxation methods and mental care that are appropriate to the user's emotions. For example, a user experiencing stress could be offered a plan suggesting yoga or relaxation music. 【0588】 An example of a generated health promotion plan is the prompt, "Create an optimal exercise and nutrition plan based on the user's health status today." Based on this prompt, the server uses an AI model to provide a specific plan. 【0589】 After the user completes the plan, the device collects feedback on the completion status and changes in the user's emotions, and sends it to the server. This feedback is used to improve the accuracy of future plan generation. The server analyzes this feedback and updates the AI ​​model to continue providing more accurate health promotion plans. 【0590】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0591】 Step 1: 【0592】 Users input information about their occupation and lifestyle using a device. During this process, the device collects physical information such as heart rate, body temperature, and fatigue level through sensor devices such as smartwatches. This input information is transmitted to a server as personal information. This data is used as foundational information to assess the user's basic health status. 【0593】 Step 2: 【0594】 The device uses its built-in camera and microphone to collect the user's facial expressions and voice data. This data serves as an indicator of emotional state and is sent to the server. The server uses an emotion analysis engine to recognize the user's emotions from their facial expressions and voice. Specifically, it determines whether the user is in an emotional state such as "happy," "stressed," or "calm." 【0595】 Step 3: 【0596】 The server analyzes the user's health status based on the acquired physical and emotional information. It utilizes a generative AI model, using this data as input to generate an optimal health promotion plan for the user. The output includes a customized plan encompassing exercise, nutrition, sleep improvement guidelines, and mental care. 【0597】 Step 4: 【0598】 The generated health promotion plan is delivered from the server to the user's device. The user then works through the plan, which is presented as a set of specific actions. For example, a yoga video might be played on the app as "Today's Exercise Menu." 【0599】 Step 5: 【0600】 Users implement a health promotion plan and input feedback on their impressions and physical changes into a device. The device sends this feedback, along with new physical information and emotional changes acquired during the plan, to a server. This input data is used to improve future plans. 【0601】 Step 6: 【0602】 The server analyzes user feedback data and updates the AI ​​model. This update process evaluates the feedback and newly acquired sentiment data to improve the accuracy of the generated AI model. This entire process results in more accurate plans being generated next time. 【0603】 (Application Example 2) 【0604】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0605】 In modern society, personal health management is a crucial issue, and there is a need to provide effective health promotion plans that address diverse lifestyles and stress levels. However, many conventional systems rely solely on biometric information to create health plans, and they do not adequately consider the user's emotions or mental state. Furthermore, few systems effectively utilize user feedback. These problems need to be addressed. 【0606】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0607】 In this invention, the server includes means for collecting personal data from users and biometric information from sensor devices, processing means for analyzing the user's health status based on the collected data, and means for generating a customized health improvement plan for each user based on the analysis results and the emotional state determined by an emotion analysis engine. This makes it possible to provide a health promotion plan that comprehensively considers the user's physical and mental state. 【0608】 "Personal data" refers to information about an individual, such as their occupation, lifestyle, and other personal details, provided by the user. 【0609】 "Biometric information" refers to physical indicators of the user collected using sensor devices, specifically information such as BMI, heart rate, body temperature, and fatigue level. 【0610】 An "emotion analysis engine" is a system that analyzes facial expressions and voice data to recognize the user's emotional state. 【0611】 A "health improvement plan" is a plan that includes exercise, nutrition, rest, and mental care, created taking into account the individual health and emotional state of each user. 【0612】 "Feedback" refers to information provided by users after they have implemented a health improvement plan, including their impressions of the plan and information about changes in their physical condition. 【0613】 This invention features a system that comprehensively manages an individual's health and emotional state and provides an optimal health improvement plan. The system mainly consists of a server and terminals. 【0614】 The server can receive personal data entered by the user via their device and biometric information collected using sensor devices. This data is collected using smartwatches, cameras, microphones, etc. First, the server analyzes the user's health status based on the biometric information. Furthermore, facial and voice data collected by the camera and microphone installed in the device are analyzed by an emotion analysis engine running on the server to recognize the user's emotional state. 【0615】 Once the analysis is complete, the server generates a customized health improvement plan using a generative AI model, taking into account each user's health and emotional state. This plan includes the user's physical activity, nutritional guidelines, rest improvement strategies, and relaxation methods that take their emotional state into consideration. 【0616】 Users can implement this plan provided on their device. After implementing the plan, users provide feedback about their experience through the device. This feedback includes their impressions of the plan and information about any physical changes they experienced. The server uses this feedback to update the generated AI model and improve the accuracy of future plan provision. 【0617】 For example, if the emotion analysis engine determines that a user is experiencing stress, the health improvement plan for the day will include suggestions for light exercise along with the playback of relaxation music. The generative AI model continues to learn based on the prompt, "Generate a health promotion plan suitable for a user experiencing high levels of stress." 【0618】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0619】 Step 1: 【0620】 The terminal receives personal data from the user as input. This data includes occupation and lifestyle habits. In addition, it collects biometric information from sensor devices worn by the user. The data obtained from this includes heart rate, body temperature, BMI, and fatigue level. This input data is sent to the server. 【0621】 Step 2: 【0622】 The server analyzes personal data and biometric information transmitted from the terminal to assess the user's health status. This analysis uses statistical methods and machine learning algorithms to calculate health indicators. The output generates an assessment result regarding the user's health status. 【0623】 Step 3: 【0624】 The camera and microphone on the device collect facial and audio data and send it to the server. The server processes this input data using an emotion analysis engine. This process identifies the user's emotional state and generates the result as output. 【0625】 Step 4: 【0626】 The server generates a personalized health improvement plan for each user using the results of their health assessment and emotional state identification. This plan generation utilizes a generative AI model, adjusting each element based on pre-configured prompts. The output is a customized health improvement plan. 【0627】 Step 5: 【0628】 Users perform activities based on a health improvement plan presented on their device. After completing the plan, users input feedback about their experience into their device and send it to the server. This feedback includes their impressions of the plan and any changes in their physical condition. 【0629】 Step 6: 【0630】 The server analyzes user feedback and updates the generated AI model. The feedback analysis uses natural language processing techniques to extract important information and incorporate it into the model. This output allows for improved accuracy in future health improvement plans. 【0631】 The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0632】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0633】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314. 【0634】 [Fourth Embodiment] 【0635】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0636】 As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server. 【0637】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0638】 The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52. 【0639】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0640】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0641】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0642】 The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes. 【0643】 Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0644】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0645】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0646】 In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0647】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0648】 This invention is a system that provides and supports the implementation of a customized health promotion plan based on an individual's lifestyle and current physical condition, in order to maintain and improve the user's health. The system operates around the user's terminal, sensor devices, and server. 【0649】 The user first enters personal information such as occupation and lifestyle habits through a terminal. Additionally, a sensor device measures the user's physical information, such as BMI and heart rate, and transmits this information to the terminal. The terminal then sends the collected personal and physical information to a server. 【0650】 The server integrates the information and stores it in a database. The stored data is analyzed to identify the user's health status and lifestyle characteristics. Based on this, the server uses a generative AI model to generate a health promotion plan optimized for the user's needs. This plan may include specific exercise routines, nutritional guidelines, and sleep improvement strategies. 【0651】 The generated plan is sent from the server to the user's terminal, and the user can then begin health-promoting activities according to this plan. For example, if a busy business person is suggested to do 20 minutes of yoga a day, they can easily incorporate it into their daily routine. 【0652】 Afterward, the user reports the results of their plan implementation via their device, inputting specific feedback such as exercise performance, physical changes, and perceived effects. The device sends this feedback to a server, which analyzes it to update the AI ​​model and improve the accuracy of future plans. 【0653】 In this way, users can continuously receive and implement individually customized plans, enabling them to effectively maintain and improve their health in their daily lives. 【0654】 The following describes the processing flow. 【0655】 Step 1: 【0656】 Users use their devices to enter personal information such as their occupation, lifestyle, and health checkup results. 【0657】 Step 2: 【0658】 The device acquires physical information such as BMI, heart rate, body temperature, and fatigue level from sensor devices such as smartwatches and cameras. 【0659】 Step 3: 【0660】 The device collects personal and physical information and sends it to the server. 【0661】 Step 4: 【0662】 The server stores the received information in a database and analyzes the integrated data using machine learning algorithms. 【0663】 Step 5: 【0664】 The server uses an AI model based on the analysis results to generate an optimal health plan for the user. This plan includes specific recommendations regarding exercise, nutrition, and sleep. 【0665】 Step 6: 【0666】 The server sends the generated health promotion plan to the user's device. 【0667】 Step 7: 【0668】 Users review the plan they receive through their device and implement it in their daily lives. 【0669】 Step 8: 【0670】 Users input feedback on their device regarding their impressions after implementing the plan, changes in their physical condition, and improvements they have seen. 【0671】 Step 9: 【0672】 The device sends user feedback to the server. 【0673】 Step 10: 【0674】 The server analyzes the feedback and updates the AI ​​model to improve the accuracy of future health promotion plans. 【0675】 (Example 1) 【0676】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0677】 In modern society, health management tailored to individual lifestyles is required, but conventional methods only provide general health guidance, making it difficult to offer optimal health support for each individual. Furthermore, there is a challenge in the insufficient utilization of user feedback to improve the accuracy of health guidance. 【0678】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0679】 In this invention, the server includes means for collecting lifestyle information from the user and biometric data from sensors; processing means for storing the collected information in a database and analyzing the user's health status; and means for generating personalized health guidance using a generative model based on the analysis results. This enables personalized health support for each user. 【0680】 A "user" is an entity that provides lifestyle information and biometric data through the system and receives individually customized health guidance. 【0681】 "Lifestyle information" refers to information related to an individual's living situation, such as their occupation, lifestyle habits, and health concerns. 【0682】 A "sensor" is a device used to acquire a user's physical data, and has functions to measure heart rate, steps taken, sleep patterns, and so on. 【0683】 "Biometric data" refers to information about a user's body obtained through sensors, and is used to analyze their health status. 【0684】 A "server" is a computing device that stores and analyzes information received from users and provides health guidance through generative models. 【0685】 A "generative model" refers to an artificial intelligence model used to create optimized health guidance based on user data. 【0686】 "Health guidance" refers to specific health promotion measures provided to users, including guidelines for exercise, diet, and sleep improvement. 【0687】 "Feedback" refers to information in which users report their impressions and physical changes as a result of health guidance, and this information can be used to improve the accuracy of future health guidance. 【0688】 The system based on this invention analyzes the user's health status and provides individually customized health guidance. The system primarily operates using the user's terminal, sensor devices, and a server. 【0689】 First, the user inputs their lifestyle information using a device. This device is typically a smartphone or tablet. The information the user inputs includes their occupation, lifestyle habits, and health concerns. Furthermore, sensor devices collect the user's biometric data. These devices include smartwatches and fitness trackers, which measure and acquire data such as heart rate, steps taken, and sleep patterns. 【0690】 The acquired data is transmitted to the server via the terminal. The server stores the collected information in a database and uses data analysis tools such as Python and R to analyze the data. User lifestyle information and biometric data are used to analyze health status and gain a comprehensive understanding of the user's health condition. 【0691】 Based on the analysis results, the server uses a generative AI model to generate personalized health guidance for each user. This generative AI model may include, for example, OpenAI's GPT series. The generated health guidance includes specific plans for exercise, diet, and sleep improvement. 【0692】 The generated health guidance is sent from the server to the user's terminal, and the user uses it to promote their daily health. For example, guidance such as "do aerobic exercise three times a week" or "do stretching every morning" may be provided. User feedback includes reports on their reactions to the activities and any physical changes they experience. 【0693】 This feedback is sent back to the server and used to update the AI ​​model. This establishes a cycle in which the accuracy of the generated health guidance gradually improves. 【0694】 A concrete example of a prompt message could be: "A male businessman in his 30s, who is sedentary, experiences a lot of stress at work, and often stays up late. Please create a health plan recommended for this user." 【0695】 This system can efficiently support users in promoting their health and provide individually customized health management. 【0696】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0697】 Step 1: 【0698】 Users input lifestyle information using their own devices. Specifically, they enter their occupation, lifestyle habits, and health concerns into a dedicated application on their smartphone or tablet. The information entered is used by the system to identify the user's behavioral patterns and health risks. 【0699】 Step 2: 【0700】 The device acquires biometric data from sensor devices. These sensor devices are often smartwatches or fitness trackers. These devices acquire real-time biometric data such as the user's heart rate, steps taken, and sleep patterns. The device temporarily stores this data and prepares it for later analysis. 【0701】 Step 3: 【0702】 The device transmits collected lifestyle information and biometric data to a server. Communication typically uses HTTPS, a secure communication protocol over the internet. Its primary role is to integrate personal and biometric data as input and securely transfer it to the server. 【0703】 Step 4: 【0704】 The server stores the received data in a database. During this process, data format conversion and normalization are performed to ensure the information is stored correctly. The database organizes and stores user-specific lifestyle information and biometric data. 【0705】 Step 5: 【0706】 The server analyzes the stored information to understand the user's health status. Data analysis tools such as Python and R are often used for the analysis, extracting health-related patterns such as exercise habits and sleep quality from the input data. The analysis results serve as foundational data for the next steps. 【0707】 Step 6: 【0708】 The server uses an AI model based on the analysis results to generate personalized health guidance for each user. This AI model often utilizes machine learning algorithms. A prompt is entered, and specific examples of new health guidance are generated. Examples include specific guidance such as "Do stretching every morning and aerobic exercise three times a week." 【0709】 Step 7: 【0710】 The generated health guidance is sent from the server to the terminal. The terminal receives this information and notifies the user. Based on this notification, the user adjusts their daily activities according to the health guidance. 【0711】 Step 8: 【0712】 Users input the results of the health guidance they have received into their device. As feedback, they report their impressions of the exercise, changes in their body, and numerical values ​​of health indicators. 【0713】 Step 9: 【0714】 The device sends user feedback to the server. The server then analyzes this information again and uses it to generate subsequent AI models. This process improves the accuracy of the generated health guidance, enabling more effective health management. 【0715】 (Application Example 1) 【0716】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0717】 Conventional health management systems have the drawback of not being able to adequately provide customized guidance based on the individual lifestyle and health condition of users, and lacking continuous, real-time support, thus failing to effectively support the maintenance and improvement of users' health. 【0718】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0719】 In this invention, the server includes means for collecting personal information from users and physical information from sensor devices, processing means for analyzing the user's health status based on the collected information, and means for generating a customized health promotion plan for each user based on the analysis results. This enables individually optimized health management guidance for users and allows for continuous support in real time through an automated device. 【0720】 A "user" is an individual who uses this system, provides personal and physical information, and receives the generated health promotion plan. 【0721】 "Personal information" refers to identifiable information such as a user's occupation and lifestyle, and is fundamental information for customizing health promotion plans. 【0722】 A "sensor device" is a device that measures a user's physical information and provides that data to a system, and includes, for example, devices that measure heart rate and BMI. 【0723】 "Physical information" refers to data necessary to understand the user's health status, such as vital data obtained from sensor devices. 【0724】 "Processing means" refers to functions that include computer programs and algorithms for analyzing collected data and evaluating the user's health status. 【0725】 A "health promotion plan" is a set of specific guidelines generated based on analysis results to maintain and improve the user's health, and includes exercise, nutrition, and sleep improvement. 【0726】 An "automated device" is a robot or other equipment that operates by implementing a generated plan in order to provide exercise instructions and health advice to users in real time. 【0727】 "Feedback" refers to the reactions and results that users provide after implementing a plan, and the system analyzes this feedback to improve the accuracy of future plans. 【0728】 This system provides individual users with customized health promotion plans to maintain and improve their health. The system consists primarily of user terminals, sensor devices, and a server. 【0729】 First, the user uses their own device to input personal information, including their occupation and lifestyle, and transfers physical information measured by the sensor device back to the device. The device then sends this information to a server. The server uses programming languages ​​such as Python to analyze the collected information and evaluate the user's health status. 【0730】 Based on the analyzed data, a generative AI model is used to generate a personalized health promotion plan for each user. This plan includes specific exercise routines, nutritional guidelines, and sleep improvement strategies. The generated plan will differ for each user, tailored to their lifestyle and current situation. 【0731】 The generated health promotion plan is sent from the server to the user's terminal. Furthermore, the plan is implemented in automated devices that support the user on a daily basis, providing real-time exercise instructions and health advice. At this time, devices such as smartphones and smart glasses are used, enabling the user to efficiently and continuously carry out health promotion activities. 【0732】 Users input the results of their plan implementation as feedback into their device, and this data is sent to the server. The server analyzes the feedback and updates the generated AI model to improve the accuracy of the next plan. Through this cycle, users can effectively improve their health in their daily lives. 【0733】 For example, if a yoga plan customized for business people is proposed, the system will provide health advice such as, "Refresh yourself in the afternoon by doing 5 minutes of yoga during your lunch break." 【0734】 An example of a prompt to input into the generation AI model is, "Please suggest a 5-minute yoga routine that can be done at the workplace, suitable for a business person who spends a lot of time at their desk, three times a week." This prompt helps generate a plan that meets the user's specific needs. 【0735】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0736】 Step 1: 【0737】 Users use a terminal to input personal information such as their occupation and lifestyle. Furthermore, physical information measured by sensor devices (e.g., heart rate and BMI) is also captured by the terminal. After this information is accurately entered, it is transmitted from the terminal to the server. The input data is structured and converted into a format for storage in the database. 【0738】 Step 2: 【0739】 The server analyzes the received personal and physical information. The analysis process accesses a database and uses pre-configured algorithms to assess the user's health status. The results are output in the form of health indicators and risk factors, which are used to generate the next health promotion plan. 【0740】 Step 3: 【0741】 Based on the analysis results, the server generates a customized health promotion plan using a generative AI model. This model suggests optimal exercise, nutrition, and sleep improvement measures according to the input prompts. The optimized plan is generated in text format and will be different for each user. 【0742】 Step 4: 【0743】 The generated health promotion plan is sent from the server to the user's device. The device displays the received plan and provides detailed instructions and videos for implementing each activity described in the plan. This allows the user to start health promotion activities based on the instructions. 【0744】 Step 5: 【0745】 After completing the plan, users enter feedback via their device. This feedback includes their impressions of the exercise and information about changes in their body. This information is then sent to the server. 【0746】 Step 6: 【0747】 The server analyzes the collected feedback and updates the generating AI model. During the data analysis process, the feedback data is retrained as new input, improving the accuracy of subsequent plans. This cycle allows users to continuously receive more effective health promotion plans. 【0748】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0749】 This invention combines a system that analyzes an individual's health status and provides an optimal health promotion plan with an emotion engine that recognizes the user's emotions. This system integrates the user's health data and emotional information to provide the user with personalized health maintenance measures. 【0750】 Users input information about their occupation and lifestyle using a device, and also wear sensor devices that acquire physical information. This allows for the collection of a wide range of data (such as BMI, heart rate, body temperature, and fatigue level) from smartwatches and cameras. 【0751】 Furthermore, the device is equipped with a camera and microphone, which collect facial expressions and voice data and send it to a server. This data is analyzed by an emotion engine to recognize the user's emotional state. 【0752】 The server first analyzes the user's health status based on their personal and physical information, and then generates a customized health promotion plan using a generative AI model. In addition, emotional information recognized by the emotion engine is also taken into consideration, and the plan is adjusted to suit the user's mental state and condition on that day. This allows the user to implement health maintenance measures more effectively. 【0753】 The health promotion plans offered include exercise guidance, nutritional guidelines, and sleep improvement strategies, as well as emotionally conscious relaxation methods and mental care. After the user completes the plan, the device collects feedback on the results and changes in the user's emotions, and sends it to the server. The server analyzes this feedback and updates the AI ​​model to improve the accuracy of future plan deliveries. 【0754】 For example, if the emotional engine detects that a user is experiencing stress, a plan combining light exercise and relaxation will be provided for that day. This approach aims to improve the user's short-term psychological well-being and contribute to long-term health improvement. 【0755】 The following describes the processing flow. 【0756】 Step 1: 【0757】 Users use their devices to input personal information such as occupation, lifestyle, and health checkup results. This data forms the basis for creating healthcare plans. 【0758】 Step 2: 【0759】 The device acquires the user's physical information from sensor devices such as smartwatches and cameras. This includes BMI, heart rate, body temperature, and fatigue level. This information is necessary to understand the user's health status in detail. 【0760】 Step 3: 【0761】 The device utilizes cameras and microphones to detect the user's facial expressions and voice, collecting this emotional data. The collected emotional data is then sent to a server. 【0762】 Step 4: 【0763】 The device integrates all collected data (personal information, physical information, emotional data) and transmits it to the server. This integrated data forms the foundation of the entire system. 【0764】 Step 5: 【0765】 The server stores the received data in a database. To analyze this data, it first uses a machine learning algorithm to evaluate the user's health status. 【0766】 Step 6: 【0767】 The server uses a generative AI model to generate a customized health promotion plan based on the user's data. This plan includes exercise, nutrition, and sleep improvement measures. It also adjusts the plan content by considering emotional information recognized by the emotion engine. 【0768】 Step 7: 【0769】 The server sends the generated plan to the user's terminal. 【0770】 Step 8: 【0771】 Users review the provided health promotion plan and incorporate it into their daily lives. Based on this plan, they exercise, adjust their diet, and take other necessary actions. 【0772】 Step 9: 【0773】 Users input feedback on the effects and physical changes they experienced after implementing the plan via their device. They also input any emotional changes they experienced during the plan's implementation. 【0774】 Step 10: 【0775】 The device sends the collected feedback to the server. This feedback includes changes in the user's emotions. 【0776】 Step 11: 【0777】 The server analyzes this feedback and updates the generated AI model. This improves the accuracy of future health promotion plans and prepares to provide users with more effective health maintenance strategies. 【0778】 (Example 2) 【0779】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0780】 Traditional health maintenance systems have a drawback: they only provide plans based on the user's physical condition, lacking health promotion measures that take into account the user's emotional state. As a result, they cannot adequately address stress and emotional fluctuations, making comprehensive health maintenance, including short-term mental care, difficult. 【0781】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0782】 In this invention, the server includes means for collecting personal information from users and physical information from sensor devices; means for analyzing the user's health status based on the collected information; and means for generating a customized health promotion plan for each user, taking into account the user's emotional state using the analysis results and an emotion analysis engine. This makes it possible to provide health promotion measures that appropriately evaluate the user's emotional state and bring about short-term psychological effects. 【0783】 "Personal information" refers to attribute information necessary for analyzing a user's occupation, lifestyle, and other health conditions. 【0784】 A "sensor device" is a device used to collect bodily information such as heart rate, body temperature, and fatigue level. 【0785】 "Physical information" refers to data acquired by sensor devices that is necessary for analyzing a person's health status. 【0786】 An "emotion analysis engine" is an analysis system that identifies emotional states from a user's facial expressions and voice data. 【0787】 A "health promotion plan" is a personalized proposal that includes exercise, nutrition, sleep improvement guidelines, and mental care, based on the user's health and emotional state. 【0788】 "Feedback" refers to information about the emotional and physical changes that users experience after implementing a health promotion plan. 【0789】 This invention is a system that analyzes the user's health and emotional state and provides an optimal health promotion plan. This system mainly consists of terminals and a server. 【0790】 Users input personal information about their occupation and lifestyle using a device. They also wear sensor devices to acquire physical information, using smartwatches and vital signs sensors to collect data such as heart rate, body temperature, and fatigue level. This allows for real-time monitoring of their daily physical condition. 【0791】 Furthermore, the device is equipped with a camera and microphone to collect the user's facial expressions and voice data. The collected data is sent to a server, where an emotion analysis engine recognizes the user's emotional state. For example, if the user appears to be smiling at the camera, the emotion analysis can determine that they are "happy." 【0792】 The server uses a generative AI model based on the received health information and emotional state to generate a health promotion plan tailored to the user. This plan includes not only guidelines for improving exercise, nutrition, and sleep, but also relaxation methods and mental care that are appropriate to the user's emotions. For example, a user experiencing stress could be offered a plan suggesting yoga or relaxation music. 【0793】 An example of a generated health promotion plan is the prompt, "Create an optimal exercise and nutrition plan based on the user's health status today." Based on this prompt, the server uses an AI model to provide a specific plan. 【0794】 After the user completes the plan, the device collects feedback on the completion status and changes in the user's emotions, and sends it to the server. This feedback is used to improve the accuracy of future plan generation. The server analyzes this feedback and updates the AI ​​model to continue providing more accurate health promotion plans. 【0795】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0796】 Step 1: 【0797】 Users input information about their occupation and lifestyle using a device. During this process, the device collects physical information such as heart rate, body temperature, and fatigue level through sensor devices such as smartwatches. This input information is transmitted to a server as personal information. This data is used as foundational information to assess the user's basic health status. 【0798】 Step 2: 【0799】 The device uses its built-in camera and microphone to collect the user's facial expressions and voice data. This data serves as an indicator of emotional state and is sent to the server. The server uses an emotion analysis engine to recognize the user's emotions from their facial expressions and voice. Specifically, it determines whether the user is in an emotional state such as "happy," "stressed," or "calm." 【0800】 Step 3: 【0801】 The server analyzes the user's health status based on the acquired physical and emotional information. It utilizes a generative AI model, using this data as input to generate an optimal health promotion plan for the user. The output includes a customized plan encompassing exercise, nutrition, sleep improvement guidelines, and mental care. 【0802】 Step 4: 【0803】 The generated health promotion plan is delivered from the server to the user's device. The user then works through the plan, which is presented as a set of specific actions. For example, a yoga video might be played on the app as "Today's Exercise Menu." 【0804】 Step 5: 【0805】 Users implement a health promotion plan and input feedback on their impressions and physical changes into a device. The device sends this feedback, along with new physical information and emotional changes acquired during the plan, to a server. This input data is used to improve future plans. 【0806】 Step 6: 【0807】 The server analyzes user feedback data and updates the AI ​​model. This update process evaluates the feedback and newly acquired sentiment data to improve the accuracy of the generated AI model. This entire process results in more accurate plans being generated next time. 【0808】 (Application Example 2) 【0809】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0810】 In modern society, personal health management is a crucial issue, and there is a need to provide effective health promotion plans that address diverse lifestyles and stress levels. However, many conventional systems rely solely on biometric information to create health plans, and they do not adequately consider the user's emotions or mental state. Furthermore, few systems effectively utilize user feedback. These problems need to be addressed. 【0811】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0812】 In this invention, the server includes means for collecting personal data from users and biometric information from sensor devices, processing means for analyzing the user's health status based on the collected data, and means for generating a customized health improvement plan for each user based on the analysis results and the emotional state determined by an emotion analysis engine. This makes it possible to provide a health promotion plan that comprehensively considers the user's physical and mental state. 【0813】 "Personal data" refers to information about an individual, such as their occupation, lifestyle, and other personal details, provided by the user. 【0814】 "Biometric information" refers to physical indicators of the user collected using sensor devices, specifically information such as BMI, heart rate, body temperature, and fatigue level. 【0815】 An "emotion analysis engine" is a system that analyzes facial expressions and voice data to recognize the user's emotional state. 【0816】 A "health improvement plan" is a plan that includes exercise, nutrition, rest, and mental care, created taking into account the individual health and emotional state of each user. 【0817】 "Feedback" refers to information provided by users after they have implemented a health improvement plan, including their impressions of the plan and information about changes in their physical condition. 【0818】 This invention features a system that comprehensively manages an individual's health and emotional state and provides an optimal health improvement plan. The system mainly consists of a server and terminals. 【0819】 The server can receive personal data entered by the user via their device and biometric information collected using sensor devices. This data is collected using smartwatches, cameras, microphones, etc. First, the server analyzes the user's health status based on the biometric information. Furthermore, facial and voice data collected by the camera and microphone installed in the device are analyzed by an emotion analysis engine running on the server to recognize the user's emotional state. 【0820】 Once the analysis is complete, the server generates a customized health improvement plan using a generative AI model, taking into account each user's health and emotional state. This plan includes the user's physical activity, nutritional guidelines, rest improvement strategies, and relaxation methods that take their emotional state into consideration. 【0821】 Users can implement this plan provided on their device. After implementing the plan, users provide feedback about their experience through the device. This feedback includes their impressions of the plan and information about any physical changes they experienced. The server uses this feedback to update the generated AI model and improve the accuracy of future plan provision. 【0822】 For example, if the emotion analysis engine determines that a user is experiencing stress, the health improvement plan for the day will include suggestions for light exercise along with the playback of relaxation music. The generative AI model continues to learn based on the prompt, "Generate a health promotion plan suitable for a user experiencing high levels of stress." 【0823】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0824】 Step 1: 【0825】 The terminal receives personal data from the user as input. This data includes occupation and lifestyle habits. In addition, it collects biometric information from sensor devices worn by the user. The data obtained from this includes heart rate, body temperature, BMI, and fatigue level. This input data is sent to the server. 【0826】 Step 2: 【0827】 The server analyzes personal data and biometric information transmitted from the terminal to assess the user's health status. This analysis uses statistical methods and machine learning algorithms to calculate health indicators. The output generates an assessment result regarding the user's health status. 【0828】 Step 3: 【0829】 The camera and microphone on the device collect facial and audio data and send it to the server. The server processes this input data using an emotion analysis engine. This process identifies the user's emotional state and generates the result as output. 【0830】 Step 4: 【0831】 The server generates a personalized health improvement plan for each user using the results of their health assessment and emotional state identification. This plan generation utilizes a generative AI model, adjusting each element based on pre-configured prompts. The output is a customized health improvement plan. 【0832】 Step 5: 【0833】 Users perform activities based on a health improvement plan presented on their device. After completing the plan, users input feedback about their experience into their device and send it to the server. This feedback includes their impressions of the plan and any changes in their physical condition. 【0834】 Step 6: 【0835】 The server analyzes user feedback and updates the generated AI model. The feedback analysis uses natural language processing techniques to extract important information and incorporate it into the model. This output allows for improved accuracy in future health improvement plans. 【0836】 The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0837】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0838】 In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414. 【0839】 Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion. 【0840】 Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together. 【0841】 These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression. 【0842】 The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become. 【0843】 Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant. 【0844】 The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more." 【0845】 The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values. 【0846】 The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format. 【0847】 In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data. 【0848】 In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56. 【0849】 Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12. 【0850】 Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56. 【0851】 The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory. 【0852】 The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor. 【0853】 Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources. 【0854】 Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose. 【0855】 The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above. 【0856】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference. 【0857】 The following is further disclosed regarding the embodiments described above. 【0858】 (Claim 1) 【0859】 Means for collecting personal information from users and physical information from sensor devices, 【0860】 A processing method for analyzing the user's health status based on the collected information, 【0861】 A means of generating a customized health promotion plan for each user based on the analysis results, 【0862】 A means of providing the generated plan to the user, 【0863】 A means of obtaining and analyzing feedback from users after the plan has been implemented, 【0864】 A means for improving the accuracy of the plan generated by the generation means based on the acquired feedback, 【0865】 A system that includes this. 【0866】 (Claim 2) 【0867】 The system according to claim 1, wherein the health promotion plan includes guidelines for exercise, nutrition, and sleep improvement. 【0868】 (Claim 3) 【0869】 The system according to claim 1, wherein the feedback includes the user's impressions of the exercise and changes in their body. 【0870】 "Example 1" 【0871】 (Claim 1) 【0872】 A means of collecting lifestyle information from users and biometric data from sensors, 【0873】 A processing method that stores the collected information in a database and analyzes the user's health status, 【0874】 A means for generating personalized health guidance based on analysis results using a generative model, 【0875】 A means of providing the generated instruction to the user terminal, 【0876】 A means of collecting and analyzing the results after providing guidance to users, 【0877】 Based on the collected results, means for improving the accuracy of the instruction created by the generation means, 【0878】 A system that includes this. 【0879】 (Claim 2) 【0880】 The system according to claim 1, wherein the health guidance includes policies for exercise, diet, and sleep improvement. 【0881】 (Claim 3) 【0882】 The system according to claim 1, wherein the results include the user's response to movement and changes in their body. 【0883】 "Application Example 1" 【0884】 (Claim 1) 【0885】 Means for collecting personal information from users and physical information from sensor devices, 【0886】 A processing method for analyzing the user's health status based on the collected information, 【0887】 A means of generating a customized health promotion plan for each user based on the analysis results, 【0888】 A means of providing the generated plan to the user, 【0889】 A means of obtaining and analyzing feedback from users after the plan has been implemented, 【0890】 A means for improving the accuracy of the plan generated by the generation means based on the acquired feedback, 【0891】 A means of implementing a plan into an automated device that provides daily support to users, and providing exercise instructions and health advice to users in real time, 【0892】 A system that includes this. 【0893】 (Claim 2) 【0894】 The system according to claim 1, wherein the health promotion plan includes guidelines for exercise, nutrition, and sleep improvement. 【0895】 (Claim 3) 【0896】 The system according to claim 1, wherein the feedback includes the user's impressions of the exercise and changes in their body. 【0897】 "Example 2 of combining an emotion engine" 【0898】 (Claim 1) 【0899】 Means for collecting personal information from users and physical information from sensor devices, 【0900】 A processing method for analyzing the user's health status based on the collected information, 【0901】 A means of generating a customized health promotion plan for each user, taking into account the user's emotional state using analysis results and an emotion analysis engine, 【0902】 A means of providing the generated plan to the user, 【0903】 A means of obtaining and analyzing feedback from users after the plan has been implemented, 【0904】 A means for improving the accuracy of the plan generated by the generation means based on the acquired feedback and information on emotional changes, 【0905】 A system that includes this. 【0906】 (Claim 2) 【0907】 The system according to claim 1, wherein the health promotion plan includes, in addition to guidelines for exercise, nutrition, and sleep, emotionally conscious relaxation methods and mental care. 【0908】 (Claim 3) 【0909】 The system according to claim 1, wherein the feedback includes changes in the user's emotions and physical changes. 【0910】 "Application example 2 when combining with an emotional engine" 【0911】 (Claim 1) 【0912】 Means for collecting personal data from users and biometric information from sensor devices, 【0913】 A processing method for analyzing the user's health status based on the collected data, 【0914】 A means for generating a customized health improvement plan for each user based on the analysis results, 【0915】 A means of providing the generated plan to the user, 【0916】 A means equipped with an emotion analysis engine that analyzes the emotional state of the user, 【0917】 A means of adjusting health improvement plans based on the output of an emotion analysis engine, 【0918】 A means of obtaining and analyzing feedback from users after the plan has been implemented, 【0919】 A means for improving the accuracy of the plan generated by the generation means based on the acquired feedback, 【0920】 A system that includes this. 【0921】 (Claim 2) 【0922】 The system according to claim 1, wherein the health improvement plan includes physical activity, nutritional guidelines, measures to improve rest, and relaxation methods that take into account emotional state. 【0923】 (Claim 3) 【0924】 The system according to claim 1, wherein the feedback includes information regarding the user's impressions of the plan and changes in their physical condition. [Explanation of Symbols] 【0925】 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

[Claim 1] Means for collecting personal information from users and physical information from sensor devices, A processing method for analyzing the user's health status based on the collected information, A means of generating a customized health promotion plan for each user based on the analysis results, A means of providing the generated plan to the user, A means of obtaining and analyzing feedback from users after the plan has been implemented, A means for improving the accuracy of the plan generated by the generation means based on the acquired feedback, A system that includes this. [Claim 2] The system according to claim 1, wherein the health promotion plan includes guidelines for exercise, nutrition, and sleep improvement. [Claim 3] The system according to claim 1, wherein the feedback includes the user's impressions of the exercise and changes in their body.

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