system

Abstract

We provide the system. [Solution] The system includes multiple devices for collecting user biometric data, and means for collecting said data. Means for transmitting the collected information and storing it on a remote base, A means of using artificial intelligence to analyze stored information and evaluate health status, A means for generating health promotion procedures based on evaluation results, A means of informing the user of the generated health promotion procedures, A means of displaying and notifying users of health promotion procedures in real time through their sight and hearing, 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the health management of the elderly, there is a problem that it is difficult to constantly monitor the health status and provide an individually optimized health promotion program. Also, there is a problem that it is difficult for the elderly to continue living at home with peace of mind because of limited opportunities for rapid medical cooperation for immediate response in an emergency and evaluation by experts. Furthermore, there is also a lack of a mechanism for continuously improving the quality of health management based on user feedback.

Means for Solving the Problems

[0005] This invention relates to a system that collects user health data using multiple sensors, stores the data on a cloud platform, and evaluates the user's health status by analyzing the data using a generating AI. Based on the evaluation results, the system generates a health promotion program and notifies the user of the program, enabling elderly people to receive appropriate health management at home. Furthermore, it includes means to measure the effectiveness of the health promotion program by collecting and continuously analyzing user feedback and adjusting the program as needed. In addition, in emergencies, it provides means to ensure the safety and security of elderly people by quickly sharing data with medical professionals and supporting first aid.

[0006] "User" refers to an elderly person who is the subject of health management, or the person who provides care for them.

[0007] A "sensor" refers to a device that collects health-related data in real time, such as the user's heart rate, body temperature, blood pressure, activity level, and sleep patterns.

[0008] A "cloud infrastructure" refers to an internet-based data storage and processing infrastructure for centrally storing and managing data collected from sensors in a state where it can be analyzed.

[0009] "Generative AI" refers to artificial intelligence technology that analyzes collected health data and evaluates health status.

[0010] A "health promotion program" refers to a guidance plan that includes advice on diet, exercise, medication, etc., generated based on the user's health status.

[0011] A "medical professional" refers to a healthcare worker who assesses the user's health condition and provides instructions during a rapid response in an emergency.

[0012] "Feedback" refers to information returned to the system by users who have followed a health promotion program, including their results and experiences. [Brief explanation of the drawing]

[0013] [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, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0014] An example of an embodiment of the system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, the numbered 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), and the like.

[0017] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, the numbered 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.

[0019] 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).

[0020] 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."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] 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.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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".

[0034] This invention relates to a system that monitors a user's health data in real time and provides a health promotion program based on the analysis results, in order to support the health management of the elderly. The main components of the system consist of a series of sensors that the user wears or places nearby, a terminal for transmitting and receiving data, and a server that is responsible for analysis and generation.

[0035] First, the device collects the user's vital data through multiple sensors. This includes heart rate, blood pressure, body temperature, activity level, and sleep quality. This data is crucial for understanding the user's condition in detail and is updated in real time.

[0036] The device sends the collected data to the server using a cloud infrastructure. The data is encrypted before transmission and stored securely. The server organizes and maintains the transmitted data in a database.

[0037] Next, the server uses generative AI technology to analyze the received data and assess the user's current health status. This analysis includes historical data, enabling a detailed assessment tailored to each individual user. The health status assessment includes detecting anomalies and predicting health risks, and based on this, appropriate recommendations are developed.

[0038] Based on the analysis results, the server generates a personalized health promotion program. This program includes advice on appropriate diet and exercise plans. Furthermore, the program is dynamically updated and adjusted as the user's condition changes.

[0039] The device notifies the user of health promotion programs sent from the server. These notifications are delivered via screen displays, audio output, and other means. Users are encouraged to adjust their daily lives and manage their health based on these notifications.

[0040] Users provide feedback on the results and their impressions of following the program. This feedback is sent back to the server via the device, and the generating AI uses this information to further improve the health promotion program.

[0041] As a specific example, if an elderly person exhibits an abnormal heart rate, the device immediately sends data to a server, which collects the abnormality as an analysis result. The server then generates an appropriate health promotion program and communicates it to the user via the device. The user then follows the instructions to take actions to return their heart rate to normal and provides feedback on the results.

[0042] In this way, the entire system continuously and dynamically manages the user's health, providing an environment where elderly people can live safely and securely at home.

[0043] The following describes the processing flow.

[0044] Step 1:

[0045] The device collects health-related data such as heart rate, body temperature, blood pressure, activity level, and sleep quality through sensors worn by the user. This data is updated in real time.

[0046] Step 2:

[0047] The terminal performs an integrity check on the collected data, encrypts it, and sends it to a server on the cloud infrastructure with established communication.

[0048] Step 3:

[0049] The server stores the health data received from the terminal in a database and re-verifies that the data is consistent.

[0050] Step 4:

[0051] The server uses generated AI to analyze stored data. It assesses the user's health status, detects anomalies, and predicts future health risks.

[0052] Step 5:

[0053] Based on the analysis results, the server generates a personalized health promotion program for each user. This program includes specific advice on diet, exercise, and lifestyle habits for maintaining and improving health.

[0054] Step 6:

[0055] The server sends the generated health promotion program to the terminal.

[0056] Step 7:

[0057] The device notifies the user of health promotion programs received from the server. Notifications are made using screens and audio.

[0058] Step 8:

[0059] Users adjust their daily lifestyle habits based on the health promotion program they receive and input the results into their device.

[0060] Step 9:

[0061] The device manages user feedback and sends it to the server in an efficient format.

[0062] Step 10:

[0063] The server analyzes user feedback and uses generative AI to improve the accuracy of the health promotion program.

[0064] Through this series of steps, the system dynamically manages the health of older adults and provides effective support to promote their health in their daily lives.

[0065] (Example 1)

[0066] 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."

[0067] In an aging society, managing the health of the elderly, who require individualized care, is a challenge that cannot be addressed by conventional, uniform methods. Furthermore, there is a need for more advanced care, such as appropriate advice tailored to each individual's health condition and prompt response in emergencies.

[0068] 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.

[0069] In this invention, the server includes multiple measuring devices for collecting the user's physiological data, means for acquiring the data, means for transmitting and storing the acquired data in a storage device using wireless communication, and means for analyzing the stored data and evaluating the health status using generated artificial intelligence. This makes it possible to grasp the individual's health status in real time and dynamically generate and improve health promotion plans.

[0070] A "user" refers to an individual who uses the system, and specifically to elderly people who require health management.

[0071] "Physiological data" refers to basic physical information used to assess health status, including heart rate, blood pressure, body temperature, activity level, and sleep quality.

[0072] A "measuring device" is a device used to collect physiological data from a user, and includes sensors such as wearable devices.

[0073] "Wireless communication" refers to a method of transmitting data without using wires, and includes communication methods such as Bluetooth and Wi-Fi.

[0074] A "storage device" is a device used to store acquired data, and includes databases and cloud servers.

[0075] "Artificial intelligence" refers to a technology that uses software to analyze data and support decision-making, and specifically refers to technologies that utilize machine learning algorithms.

[0076] A "health promotion plan" refers to specific advice and action plans created to maintain and improve the user's health.

[0077] "Emergency" refers to a situation where a serious, unusual event occurs in the user's health condition.

[0078] "Initial response" refers to the crucial first action taken when an emergency occurs, with the aim of stabilizing the situation and avoiding danger.

[0079] This invention is a system for supporting the health management of the elderly, which monitors the user's physiological data in real time and provides a health promotion plan based on the analysis results.

[0080] The terminal collects physiological data such as heart rate, blood pressure, body temperature, activity level, and sleep quality from wearable devices and sensors worn by the user. Common wearable devices include wristwatch-type sensors and activity trackers. This data is transmitted to the terminal using Bluetooth or Wi-Fi, and the terminal then transmits this data to a server via wireless communication.

[0081] The server receives data from terminals via wireless communication and stores it in a database. The data is securely stored using AES encryption. The server analyzes the stored data using generative artificial intelligence models based on machine learning libraries such as Python's TENSORFLOW® and PyTorch. This analysis compares the current data with past data to detect anomalies and assess health risks.

[0082] Based on the analysis results, the server dynamically generates a health promotion plan tailored to each individual user. This plan includes suggestions for dietary improvements and exercise plans, and its content is adjusted according to the user's current health status. For example, a user identified as being at high risk of hypertension will be offered a low-sodium diet plan and walking recommendations. The generated program is then communicated to the end user as detailed and personalized feedback.

[0083] The device notifies the user of a health promotion plan sent from the server via screen display and audio. Based on the notification, the user adjusts their daily life and manages their health. User feedback is sent back to the server through the device, and the generating AI model uses this information to further optimize the program.

[0084] For example, if a user's heart rate is abnormal, the device sends this information to a server, which analyzes it and generates advice such as, "Try deep breathing in a relaxed state and do 10 minutes of light stretching." This advice is then communicated to the user via the device, and the user follows the instructions.

[0085] Example of a prompt:

[0086] "Generate health advice for a user who experiences an abnormal heart rate. This user is elderly and requires special attention regarding cardiac care."

[0087] The system of this invention enables health management optimized for each individual user, providing an environment in which elderly people can live safely and securely at home.

[0088] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0089] Step 1:

[0090] The device acquires physiological data such as heart rate, blood pressure, body temperature, activity level, and sleep quality from sensors worn by the user. The input is biometric information from the sensors, which the device collects in real time and compiles into data. Specifically, it performs the operation of transferring data from the wearable device using a Bluetooth connection.

[0091] Step 2:

[0092] The terminal transmits acquired data to the server via wireless communication. The input is physiological data obtained from sensors, and the output is encrypted data transmitted to the server. In this process, the data is secured using AES encryption and transmitted to the cloud infrastructure. This procedure ensures that the data is securely transmitted to the server.

[0093] Step 3:

[0094] The server receives data sent from the terminal and stores it in the database. The input is encrypted data received from the terminal, and the output is a record stored in the database in an organized format. Specifically, it performs operations to organize the data by adding time information.

[0095] Step 4:

[0096] The server analyzes the stored data using a generative AI model. The input is physiological data obtained from a database, and the output is an evaluation of the user's health status. In this step, data analysis is performed using the Python TensorFlow library to specifically detect anomalies and analyze trends.

[0097] Step 5:

[0098] The server generates a personalized health promotion plan based on the analysis results. The input is the user's health assessment results, and the output is a personalized health promotion plan. Using a generative AI model, the plan is created to include clear advice, such as "recommended to do light exercise three times a week."

[0099] Step 6:

[0100] The device notifies the user of a health promotion plan sent from the server. The input is the plan data received from the server, and the output is the notification on the user's device. Specific actions include displaying the plan through a smartphone app or having a voice assistant provide verbal advice.

[0101] Step 7:

[0102] Users input feedback on the results and impressions based on the health promotion plan they have implemented. The input is feedback information after the plan has been completed, and the output is data sent to the server for improvement. Users perform specific actions to provide information using a terminal, such as touch input or voice input.

[0103] Step 8:

[0104] The server updates the health promotion plan based on user feedback. The input is feedback data, and the output is the improved health promotion plan. A generative AI model is used to analyze the feedback and incorporate it into future plans.

[0105] (Application Example 1)

[0106] 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."

[0107] For elderly people to live safely and securely at home, it is necessary to constantly monitor their health and respond quickly when abnormalities occur. However, conventional health management systems are insufficient in real-time status monitoring and providing appropriate health promotion methods, and furthermore, they lack means of notifying users in an easy-to-understand manner. In addition, there is a need for appropriate feedback in response to changes in the user's health condition and an emergency response system. This invention aims to solve these problems.

[0108] 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.

[0109] In this invention, the server includes means for having multiple devices for collecting the user's biometric data, means for transmitting and storing the collected information on a remote infrastructure, and means for notifying the user in real time through sight and hearing of the generated health promotion procedures. This makes it possible to continuously monitor the user's health status and provide personalized health promotion procedures.

[0110] A "user" is an individual who uses the system and receives notifications regarding health monitoring and health promotion procedures.

[0111] "Biometric data" refers to data that indicates a user's health status, such as heart rate, blood pressure, body temperature, activity level, and sleep quality.

[0112] "Device" refers to sensors and communication equipment capable of collecting and transmitting a user's biometric data.

[0113] "Information" refers to all data necessary for user health management, including the biometric data mentioned above.

[0114] A "remote infrastructure" is a system that utilizes cloud computing technology to store and manage data via the internet.

[0115] A "health promotion procedure" is a series of steps aimed at health management, such as dietary improvements and exercise advice, which are suggested to each individual user based on the collected data.

[0116] "Visual and auditory" notifications are methods of notifying users using displays and audio output to make it easier for them to receive information in real time.

[0117] "Real-time notification" refers to a system that immediately transmits information to the user the moment it occurs.

[0118] The system implementing this invention utilizes a user-worn device such as a smartwatch or smart glasses. The device is equipped with multiple sensors for collecting biometric data, including heart rate, blood pressure, body temperature, activity level, and sleep quality, all of which are collected in real time. The collected data is transmitted from the device to a cloud infrastructure via the user's smartphone. This cloud infrastructure includes a database utilizing encryption technology for secure data storage.

[0119] The server uses generative AI to analyze biometric data stored on the cloud infrastructure. The analysis utilizes AI frameworks such as TensorFlow to evaluate the user's health status, including historical data. This allows for early detection of changes in the user's health status and the immediate generation of personalized health promotion procedures when abnormalities occur. These generated health promotion procedures are communicated in real-time via visual and auditory means through the user's smart glasses.

[0120] User feedback is sent from the smartwatch device to the server via the cloud, and the generating AI learns from this new information to dynamically adjust health promotion procedures. This makes it possible to provide more accurate and personalized healthcare services.

[0121] As a concrete example, consider a situation in a household with an elderly person going about their daily life where their heart rate becomes abnormally high. In this case, the smartwatch detects the anomaly and immediately sends the data to the cloud. In the cloud, AI analyzes the level of risk and notifies the smart glasses with advice such as, "Please stay calm and take deep breaths." In this way, the user receives quick and clear instructions. An example of a prompt sentence to be input into the generating AI model is, "Generate the optimal health promotion procedure based on the current health status and past trends."

[0122] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0123] Step 1:

[0124] The device collects the user's biometric data. Specifically, sensors built into the device continuously measure heart rate, blood pressure, body temperature, activity level, sleep quality, and other parameters. The data obtained becomes input and is temporarily stored within the device.

[0125] Step 2:

[0126] The device transmits the collected biometric data to the cloud infrastructure via a smartphone. To ensure security during data transmission, the data is encrypted and converted to a format suitable for cloud storage. This converted data is the output.

[0127] Step 3:

[0128] The server retrieves and analyzes data stored on the cloud infrastructure. The data is used as input, and a generative AI model utilizing TensorFlow compares it with historical data to detect anomalies and assess health risks. The analysis results output an evaluation of the user's health status.

[0129] Step 4:

[0130] The server generates optimal health promotion procedures based on the analysis results. Using the prompt "Generate optimal health promotion procedures based on current health status and past trends," the generating AI constructs procedures including diet and exercise plans. These procedures are then output.

[0131] Step 5:

[0132] The server sends the generated health promotion instructions to the device. The device displays the instructions on smart glasses and notifies the user audibly as needed. Thus, the generated instructions are output both visually and audibly.

[0133] Step 6:

[0134] Users follow the provided health promotion procedures and implement them in their daily lives. They input the results and their impressions as feedback into the device. This feedback is then sent to the server as new data in the next stage.

[0135] Step 7:

[0136] The server receives feedback from users, and the generating AI analyzes this feedback to improve the procedures. The feedback becomes input, the health promotion procedures are adjusted, and these adjustments are reflected in the generation of procedures in the future.

[0137] 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.

[0138] This invention relates to a comprehensive health management system that utilizes data related to a user's health and emotions. The system operates by combining sensors for monitoring the user's health data with an emotion engine for analyzing emotions. The specific operation of the system is described below.

[0139] The device is equipped with multiple sensors to collect biometric information such as the user's heart rate, body temperature, blood pressure, activity level, and sleep quality. This sensor data is updated in real time and serves as foundational data for understanding the user's health status. In addition, the emotion engine analyzes the user's voice tone and facial expression data to evaluate their emotional state in real time.

[0140] This data is transmitted via the device to a cloud-based server. The data is encrypted, transmitted to the server via a secure communication channel, and stored in a database. The stored health and emotional data are then comprehensively analyzed by a generative AI system.

[0141] The server uses generative AI to comprehensively assess the user's health status and generate a health promotion program. Leveraging insights from emotional data, it creates a program that also considers the user's mental health. This program includes specific advice on diet, exercise, and mental care. For example, if the user experiences significant emotional fluctuations, it might recommend activities that promote relaxation.

[0142] The device receives health promotion programs sent from the server and notifies the user. These notifications are delivered using on-screen displays and audio to aid user understanding. This helps users become more aware of their health status and encourages them to take appropriate actions.

[0143] By providing feedback on the results of following the program, the system obtains additional data to be used for analysis in the next cycle. This feedback includes reports on the program's implementation, improvements made, and difficulties encountered. The terminal sends this information to the server, which is then used to refine the user's next program.

[0144] For example, if a user experiences stress during a particular activity, the emotion engine detects this and sends the analysis results along with the user's increased heart rate. The server then generates a new health promotion program to reduce stress and suggests yoga exercises to help the user relax.

[0145] Thus, the present invention provides comprehensive support for the physical and mental health of the elderly and enables appropriate responses to individual needs.

[0146] The following describes the processing flow.

[0147] Step 1:

[0148] The device uses multiple sensors to collect health data such as the user's heart rate, body temperature, blood pressure, and activity level. Additionally, an emotion engine detects the user's voice tone and facial expressions to collect emotional data.

[0149] Step 2:

[0150] The device temporarily stores the collected health and emotional data, and then securely transmits it to the server via a cloud infrastructure.

[0151] Step 3:

[0152] The server receives data sent from the terminal and securely records it in the database. It verifies the integrity of the data and makes corrections as needed if there are any inconsistencies.

[0153] Step 4:

[0154] The server uses a generative AI engine to comprehensively analyze the received health and emotional data. The analysis assesses not only the health status but also the impact of emotional changes on health.

[0155] Step 5:

[0156] Based on the analysis results, the server generates a personalized health promotion program that addresses the user's health and emotional state. For example, if a high stress level is detected, a program incorporating relaxation sessions will be set up.

[0157] Step 6:

[0158] The server sends the generated health promotion program to the terminal, ensuring that the user receives notifications at the appropriate time.

[0159] Step 7:

[0160] The device notifies the user of health promotion programs. Notifications are made using visual displays and auditory alerts to help the user understand and participate in the programs.

[0161] Step 8:

[0162] Users adjust their daily activities based on programs provided by the device and input the results and their impressions as feedback into the device.

[0163] Step 9:

[0164] The device collects user feedback, formats it efficiently, and sends it to the server.

[0165] Step 10:

[0166] The server analyzes the feedback received from the terminal and, if necessary, improves the health promotion program provided in the next cycle, thereby increasing its accuracy. Through this cycle, the system continuously provides support tailored to the user's health and emotional state.

[0167] (Example 2)

[0168] 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 as the "terminal".

[0169] In modern society, personal health management is becoming an increasingly important issue. In particular, there is a demand for comprehensive health management that includes not only physical health but also mental health. However, conventional systems lacked the means to efficiently integrate users' health and emotional data and provide individually optimized health promotion programs. Furthermore, the lack of a well-established mechanism for appropriately incorporating the feedback received into subsequent programs made it difficult to provide health management that met the actual needs of users.

[0170] 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.

[0171] In this invention, the server includes means for securely transmitting and storing the user's physical and emotional information on a remote information processing platform, means for comprehensively analyzing the stored information using a generating AI to evaluate the user's health and emotional state, and means for generating a health promotion program that takes mental health into consideration based on the evaluation results. This enables a comprehensive understanding of the user's physical and mental health, and allows for personalized and appropriately adjusted health management.

[0172] A "user" refers to an individual who uses a health management system, and the information obtained from their physical and emotional state is the subject of analysis.

[0173] "Physical information" refers to data related to the user's physiological state, such as heart rate, body temperature, blood pressure, activity level, and sleep quality.

[0174] "Emotional information" refers to data that indicates the user's emotional state, obtained from their voice tone and facial expressions.

[0175] A "measuring device" is a hardware device used to acquire physical and emotional information, and includes heart rate monitors and temperature sensors.

[0176] "Secure transmission" means communicating data while ensuring security, and it is a process that uses encryption technology to prevent unauthorized access.

[0177] A "remote information processing infrastructure" refers to a remote system or cloud environment for storing and processing data via the internet or other means.

[0178] "Generative AI" refers to artificial intelligence technology that analyzes data to make meaningful evaluations and suggestions, and includes natural language processing and machine learning algorithms.

[0179] A "health promotion program" refers to a plan that compiles guidelines and advice provided to maintain and improve the physical and mental health of users.

[0180] A "display device" is a display device used to convey information to a user, and includes smartphones and tablets.

[0181] "Feedback" refers to evaluations and opinions that users convey regarding the results and impressions of their program implementation, and this information is used by the system in the next cycle.

[0182] A "warning state" refers to a situation in which an unusual fluctuation is observed in the user's physical or emotional state, requiring attention or intervention.

[0183] This invention provides a comprehensive health management system that utilizes the user's physical and emotional information. The terminal uses multiple measuring devices to monitor the user's heart rate, body temperature, blood pressure, activity level, sleep quality, etc. These measuring devices include wearable devices, such as a device for measuring heart rate and a sensor for sensing the user's body temperature. Furthermore, the terminal is equipped with a voice input device and a video input device to acquire the user's voice tone and facial expressions, and to collect emotional information.

[0184] The collected physical and emotional information is encrypted and securely transmitted to a server on a cloud infrastructure. The server receives this information and stores it in a database. TLS / SSL is used as the secure communication protocol. On the server, a generative AI model is used to comprehensively analyze the user's health and emotional state based on the stored information. Natural language processing techniques and machine learning algorithms are used for the analysis to evaluate the user's stress level and overall health trends.

[0185] Based on the analysis results, the server generates a health promotion program. Prompts generated using the AI ​​model might include phrases like, "If the user is assessed as prone to stress, create a program to reduce stress." This program includes activities that contribute to both physical and mental health, such as specific suggestions for daily exercise and meditation.

[0186] The generated health promotion program is sent to the device and the user is notified. The device uses a display and voice guidance to clearly explain the program details to the user. For example, a reminder for a scheduled yoga session is displayed on the device screen, and a voice assistant explains the content of the next exercise.

[0187] After the user runs the program, feedback is collected and sent to the server via the terminal. The server can analyze the feedback and use it to improve the health promotion program in the next cycle. This allows the user to enjoy health management optimized for their specific needs.

[0188] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0189] Step 1:

[0190] The device collects the user's physical and emotional information through measuring devices. Input data includes heart rate, body temperature, blood pressure, activity level, and sleep quality, supplemented by emotional information such as voice tone and facial expressions. To acquire this data, the device utilizes sensors, microphones, and cameras to capture data in real time. The output is a compilation of these datasets.

[0191] Step 2:

[0192] The device encrypts the collected data and sends it to a server on the cloud infrastructure. The input data consists of user information collected from sensors, microphones, and cameras, and is encrypted using TLS / SSL before transmission. The output is securely protected communication data. This process involves the specific operation of sending data to the server using wireless communication technology.

[0193] Step 3:

[0194] The server stores the received data in a database. The input is encrypted data sent from the terminal, and the server decrypts it and stores it in the database, thus organizing the data. The output is structured and stored user information. At this stage, a SQL database or similar is used to maintain the data in a manageable format.

[0195] Step 4:

[0196] The server uses a generative AI model to analyze stored data. The input consists of biometric and emotional information stored in a database. The server inputs this data into the generative AI model, performing data calculations to analyze health status and emotional trends. The output is a health status assessment report for the user. This analysis utilizes data modeling based on machine learning algorithms.

[0197] Step 5:

[0198] The server generates a health promotion program based on the analysis results. The input is a health status assessment report, and the program is constructed using prompts generated by a generation AI model. An example of a prompt is, "Create a new exercise program to reduce stress." The output is a health promotion program optimized for each user.

[0199] Step 6:

[0200] The terminal notifies the user of health promotion programs received from the server. The input is the health promotion program data sent from the server, and the terminal uses its notification function to communicate this to the user via screen display and audio. The output is an executable program notification provided to the user. Specifically, the terminal issues an alert and displays it as a schedule reminder.

[0201] Step 7:

[0202] Users follow a health promotion program and input the results as feedback into a terminal. This input, which is feedback information regarding the program's performance, is sent from the terminal to a server. The output is used as user feedback data for the next analysis cycle. This process can utilize questionnaire-style forms or voice input.

[0203] (Application Example 2)

[0204] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0205] It is difficult to comprehensively manage the physical and mental health of the elderly and those receiving care, and to provide effective, prompt, and appropriate care. Furthermore, there is a lack of effective means for caregivers to obtain relevant information in real time and respond immediately.

[0206] 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.

[0207] In this invention, the server includes means for collecting biometric and emotional information, means for storing that information in the cloud, and means for evaluating health and emotional states based on that information. This makes it possible to generate personalized health promotion plans in real time and notify caregivers.

[0208] A "user" is an individual who uses a health management system and provides data related to their health and emotions.

[0209] "Biometric information" refers to data that indicates the user's physical condition, such as heart rate, body temperature, blood pressure, activity level, and sleep quality.

[0210] "Emotional information" refers to data that indicates the user's emotional state, analyzed from sources such as voice tone and facial expression data.

[0211] A "detection device" is a device such as a sensor or camera used to collect a user's biometric and emotional information.

[0212] A "cloud infrastructure" is a server environment for storing, managing, and analyzing data via the internet.

[0213] "Generative AI" is an artificial intelligence technology that evaluates health and emotional states based on collected information and generates personalized health promotion plans.

[0214] A "health promotion plan" is a plan that includes specific guidelines and activity suggestions aimed at improving and maintaining the health and emotional state of each individual user.

[0215] A "display device" is a device used to visually or audibly communicate a generated health promotion plan to caregivers or users.

[0216] "Feedback" refers to information such as evaluations, results, and requests that users provide regarding the implementation of a health promotion plan.

[0217] "Optimization" is the process of adjusting health promotion plans to suit the individual needs and circumstances of users, based on feedback.

[0218] The system implementing this invention has the function of collecting the user's biometric and emotional information using a detection device, and transmitting and storing this information on a server using a cloud infrastructure. The server encrypts and securely manages the biometric and emotional information. This information is analyzed by a generating AI to comprehensively evaluate the user's health and emotional state.

[0219] Based on the evaluation results, the server generates a personalized health promotion plan. This plan takes into account the user's current physical condition and emotions, and includes suggestions for optimal diet, exercise, and mental care. For example, for users with significant emotional fluctuations, activities to promote relaxation can be suggested. The generated health promotion plan is communicated to caregivers in visual or auditory form through a display device worn by the caregiver. User feedback is also input into the system, and the server analyzes this feedback information to optimize the health promotion plan.

[0220] For example, if an elderly resident in a care facility is experiencing stress, the AI ​​can detect this, and the server can notify a display device with suggestions for relaxation music or simple yoga exercises. Furthermore, in emergencies, data can be directly shared with medical professionals to support a rapid initial response. This allows for the provision of appropriate care tailored to individual needs while ensuring the safety of the elderly.

[0221] Examples of prompt messages include, "Please suggest the most suitable relaxation activity when an elderly person's heart rate suddenly increases." Thus, the present invention provides a useful means of health management for both users and caregivers, particularly when used in nursing care facilities.

[0222] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0223] Step 1:

[0224] The terminal uses detection devices to collect the user's biometric information (heart rate, body temperature, blood pressure, etc.) and emotional information (voice tone, facial expression data, etc.). Input is various sensor data, and output is a set of collected biometric and emotional information. This data is updated in real time and formatted as initial processing.

[0225] Step 2:

[0226] The device encrypts the collected biometric and emotional information and sends it to a cloud-based server. The input is the set of collected information, and the output is the data stored in the cloud. To ensure data security in this step, encryption algorithms are used to protect the data.

[0227] Step 3:

[0228] The server retrieves data stored in the cloud and uses a generative AI model to comprehensively evaluate the user's health and emotional state. The input is biometric and emotional information obtained from the cloud infrastructure, and the output is the evaluation result of the user's health and emotional state. Here, the data is analyzed, and feature extraction and pattern recognition are performed.

[0229] Step 4:

[0230] The server generates a personalized health promotion plan using generative AI based on the evaluation results. The input is the evaluation results, and the output is the health promotion plan. This process automatically generates suggestions for diet, exercise, and mental care. The suggestions are structured as prompt messages.

[0231] Step 5:

[0232] The server notifies the terminal of the generated health promotion plan, which then communicates it to the caregiver or user visually or audibly through its display device. The input is the health promotion plan, and the output is the notification to the user via the terminal's display or speaker. This allows the user or caregiver to check the suggestions in real time.

[0233] Step 6:

[0234] Users execute the notified health promotion plan and input feedback to the server via their device. Input consists of feedback information such as execution results and impressions, while output is an update of the feedback data to the cloud. This feedback information is used to refine the plan in the next cycle.

[0235] Step 7:

[0236] The server analyzes the received feedback and makes adjustments to optimize the health promotion plan. The input is feedback information, and the output is the adjusted plan. New insights gained from the feedback are used to update the plan using the generative AI again. This step improves the effectiveness of subsequent programs.

[0237] 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.

[0238] 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.

[0239] 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.

[0240] [Second Embodiment]

[0241] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0242] 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.

[0243] 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).

[0244] 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.

[0245] 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.

[0246] 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).

[0247] 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.

[0248] 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.

[0249] 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.

[0250] 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.

[0251] 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.

[0252] 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".

[0253] This invention relates to a system that monitors a user's health data in real time and provides a health promotion program based on the analysis results, in order to support the health management of the elderly. The main components of the system consist of a series of sensors that the user wears or places nearby, a terminal for transmitting and receiving data, and a server that is responsible for analysis and generation.

[0254] First, the device collects the user's vital data through multiple sensors. This includes heart rate, blood pressure, body temperature, activity level, and sleep quality. This data is crucial for understanding the user's condition in detail and is updated in real time.

[0255] The device sends the collected data to the server using a cloud infrastructure. The data is encrypted before transmission and stored securely. The server organizes and maintains the transmitted data in a database.

[0256] Next, the server uses generative AI technology to analyze the received data and assess the user's current health status. This analysis includes historical data, enabling a detailed assessment tailored to each individual user. The health status assessment includes detecting anomalies and predicting health risks, and based on this, appropriate recommendations are developed.

[0257] Based on the analysis results, the server generates a personalized health promotion program. This program includes advice on appropriate diet and exercise plans. Furthermore, the program is dynamically updated and adjusted as the user's condition changes.

[0258] The device notifies the user of health promotion programs sent from the server. These notifications are delivered via screen displays, audio output, and other means. Users are encouraged to adjust their daily lives and manage their health based on these notifications.

[0259] Users provide feedback on the results and their impressions of following the program. This feedback is sent back to the server via the device, and the generating AI uses this information to further improve the health promotion program.

[0260] As a specific example, if an elderly person exhibits an abnormal heart rate, the device immediately sends data to a server, which collects the abnormality as an analysis result. The server then generates an appropriate health promotion program and communicates it to the user via the device. The user then follows the instructions to take actions to return their heart rate to normal and provides feedback on the results.

[0261] In this way, the entire system continuously and dynamically manages the user's health, providing an environment where elderly people can live safely and securely at home.

[0262] The following describes the processing flow.

[0263] Step 1:

[0264] The device collects health-related data such as heart rate, body temperature, blood pressure, activity level, and sleep quality through sensors worn by the user. This data is updated in real time.

[0265] Step 2:

[0266] The terminal performs an integrity check on the collected data, encrypts it, and sends it to a server on the cloud infrastructure with established communication.

[0267] Step 3:

[0268] The server stores the health data received from the terminal in a database and re-verifies that the data is consistent.

[0269] Step 4:

[0270] The server uses generated AI to analyze stored data. It assesses the user's health status, detects anomalies, and predicts future health risks.

[0271] Step 5:

[0272] Based on the analysis results, the server generates a personalized health promotion program for each user. This program includes specific advice on diet, exercise, and lifestyle habits for maintaining and improving health.

[0273] Step 6:

[0274] The server sends the generated health promotion program to the terminal.

[0275] Step 7:

[0276] The terminal notifies the user of the health promotion program received from the server. The notification is made using the screen or voice.

[0277] Step 8:

[0278] The user adjusts their daily living habits based on the received health promotion program and inputs the results accordingly into the terminal.

[0279] Step 9:

[0280] The terminal manages the feedback from the user and sends it to the server in an efficient format.

[0281] Step 10:

[0282] The server analyzes the feedback from the user and proceeds with improvements to enhance the accuracy of the health promotion program using generative AI.

[0283] Through this series of steps, the system dynamically manages the health of the elderly and provides effective support for promoting health in daily life.

[0284] (Example 1)

[0285] Next, 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".

[0286] In an aging society, the health management of the elderly who require individual support is an issue that cannot be fully addressed by conventional uniform methods. Furthermore, more advanced care such as appropriate advice according to individual health conditions and prompt response in case of emergencies is required.

[0287] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 1 is realized by the following respective means.

[0288] In this invention, the server includes multiple measuring devices for collecting the user's physiological data, means for acquiring the data, means for transmitting and storing the acquired data in a storage device using wireless communication, and means for analyzing the stored data and evaluating the health status using generated artificial intelligence. This makes it possible to grasp the individual's health status in real time and dynamically generate and improve health promotion plans.

[0289] A "user" refers to an individual who uses the system, and specifically to elderly people who require health management.

[0290] "Physiological data" refers to basic physical information used to assess health status, including heart rate, blood pressure, body temperature, activity level, and sleep quality.

[0291] A "measuring device" is a device used to collect physiological data from a user, and includes sensors such as wearable devices.

[0292] "Wireless communication" refers to a method of transmitting data without using wires, and includes communication methods such as Bluetooth and Wi-Fi.

[0293] A "storage device" is a device used to store acquired data, and includes databases and cloud servers.

[0294] "Artificial intelligence" refers to a technology that uses software to analyze data and support decision-making, and specifically refers to technologies that utilize machine learning algorithms.

[0295] A "health promotion plan" refers to specific advice and action plans created to maintain and improve the user's health.

[0296] "Emergency" refers to a situation where a serious, unusual event occurs in the user's health condition.

[0297] "Initial response" refers to the crucial first action taken when an emergency occurs, with the aim of stabilizing the situation and avoiding danger.

[0298] This invention is a system for supporting the health management of the elderly, which monitors the user's physiological data in real time and provides a health promotion plan based on the analysis results.

[0299] The terminal collects physiological data such as heart rate, blood pressure, body temperature, activity level, and sleep quality from wearable devices and sensors worn by the user. Common wearable devices include wristwatch-type sensors and activity trackers. This data is transmitted to the terminal using Bluetooth or Wi-Fi, and the terminal then transmits this data to a server via wireless communication.

[0300] The server receives data from terminals via wireless communication and stores it in a database. The data is securely stored using AES encryption. The server analyzes the stored data using generative artificial intelligence models based on machine learning libraries such as Python's TensorFlow and PyTorch. This analysis compares the current data with past data to detect anomalies and assess health risks.

[0301] Based on the analysis results, the server dynamically generates a health promotion plan tailored to each individual user. This plan includes suggestions for dietary improvements and exercise plans, and its content is adjusted according to the user's current health status. For example, a user identified as being at high risk of hypertension will be offered a low-sodium diet plan and walking recommendations. The generated program is then communicated to the end user as detailed and personalized feedback.

[0302] The device notifies the user of a health promotion plan sent from the server via screen display and audio. Based on the notification, the user adjusts their daily life and manages their health. User feedback is sent back to the server through the device, and the generating AI model uses this information to further optimize the program.

[0303] As a specific example, when a certain user shows an abnormal heart rate, the terminal transmits that information to the server, and the server analyzes it and generates advice such as "Please try deep breathing in a relaxed state and gentle stretching for 10 minutes." This advice is notified to the user through the terminal, and the user responds according to the instructions.

[0304] Example of a prompt sentence:

[0305] "Please generate health promotion advice when an abnormal heart rate occurs for the user. This user is an elderly person who needs special attention for heart care."

[0306] The system of this invention enables optimized health management for individual users and provides an environment in which the elderly can live safely at home.

[0307] The flow of specific processing in Example 1 will be described using FIG. 11.

[0308] Step 1:

[0309] The terminal acquires physiological data such as heart rate, blood pressure, body temperature, activity level, and sleep quality from sensors worn by the user. The input is biological information from the sensors, and the terminal collects this in real time and aggregates it as data. Specifically, it performs an operation to transfer data from a wearable device using Bluetooth connection.

[0310] Step 2:

[0311] The terminal transmits the acquired data to the server through wireless communication. The input is physiological data obtained from the sensors, and the output is the transmission of encrypted data to the server. In this process, the data is made secure by AES encryption and transmitted to the cloud platform. By this procedure, the data is securely transmitted to the server.

[0312] Step 3:

[0313] The server receives data sent from the terminal and stores it in the database. The input is encrypted data received from the terminal, and the output is a record stored in the database in an organized format. Specifically, it performs operations to organize the data by adding time information.

[0314] Step 4:

[0315] The server analyzes the stored data using a generative AI model. The input is physiological data obtained from a database, and the output is an evaluation of the user's health status. In this step, data analysis is performed using the Python TensorFlow library to specifically detect anomalies and analyze trends.

[0316] Step 5:

[0317] The server generates a personalized health promotion plan based on the analysis results. The input is the user's health assessment results, and the output is a personalized health promotion plan. Using a generative AI model, the plan is created to include clear advice, such as "recommended to do light exercise three times a week."

[0318] Step 6:

[0319] The device notifies the user of a health promotion plan sent from the server. The input is the plan data received from the server, and the output is the notification on the user's device. Specific actions include displaying the plan through a smartphone app or having a voice assistant provide verbal advice.

[0320] Step 7:

[0321] Users input feedback on the results and impressions based on the health promotion plan they have implemented. The input is feedback information after the plan has been completed, and the output is data sent to the server for improvement. Users perform specific actions to provide information using a terminal, such as touch input or voice input.

[0322] Step 8:

[0323] The server updates the health promotion plan based on user feedback. The input is feedback data, and the output is the improved health promotion plan. A generative AI model is used to analyze the feedback and incorporate it into future plans.

[0324] (Application Example 1)

[0325] 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 glasses 214 will be referred to as the "terminal."

[0326] For elderly people to live safely and securely at home, it is necessary to constantly monitor their health and respond quickly when abnormalities occur. However, conventional health management systems are insufficient in real-time status monitoring and providing appropriate health promotion methods, and furthermore, they lack means of notifying users in an easy-to-understand manner. In addition, there is a need for appropriate feedback in response to changes in the user's health condition and an emergency response system. This invention aims to solve these problems.

[0327] 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.

[0328] In this invention, the server includes means for having multiple devices for collecting the user's biometric data, means for transmitting and storing the collected information on a remote infrastructure, and means for notifying the user in real time through sight and hearing of the generated health promotion procedures. This makes it possible to continuously monitor the user's health status and provide personalized health promotion procedures.

[0329] A "user" is an individual who uses the system and receives notifications regarding health monitoring and health promotion procedures.

[0330] "Biometric data" refers to data that indicates a user's health status, such as heart rate, blood pressure, body temperature, activity level, and sleep quality.

[0331] "Device" refers to sensors and communication equipment capable of collecting and transmitting a user's biometric data.

[0332] "Information" refers to all data necessary for user health management, including the biometric data mentioned above.

[0333] A "remote infrastructure" is a system that utilizes cloud computing technology to store and manage data via the internet.

[0334] A "health promotion procedure" is a series of steps aimed at health management, such as dietary improvements and exercise advice, which are suggested to each individual user based on the collected data.

[0335] "Visual and auditory" notifications are methods of notifying users using displays and audio output to make it easier for them to receive information in real time.

[0336] "Real-time notification" refers to a system that immediately transmits information to the user the moment it occurs.

[0337] The system implementing this invention utilizes a user-worn device such as a smartwatch or smart glasses. The device is equipped with multiple sensors for collecting biometric data, including heart rate, blood pressure, body temperature, activity level, and sleep quality, all of which are collected in real time. The collected data is transmitted from the device to a cloud infrastructure via the user's smartphone. This cloud infrastructure includes a database utilizing encryption technology for secure data storage.

[0338] The server uses generative AI to analyze biometric data stored on the cloud infrastructure. The analysis utilizes AI frameworks such as TensorFlow to evaluate the user's health status, including historical data. This allows for early detection of changes in the user's health status and the immediate generation of personalized health promotion procedures when abnormalities occur. These generated health promotion procedures are communicated in real-time via visual and auditory means through the user's smart glasses.

[0339] User feedback is sent from the smartwatch device to the server via the cloud, and the generating AI learns from this new information to dynamically adjust health promotion procedures. This makes it possible to provide more accurate and personalized healthcare services.

[0340] As a concrete example, consider a situation in a household with an elderly person going about their daily life where their heart rate becomes abnormally high. In this case, the smartwatch detects the anomaly and immediately sends the data to the cloud. In the cloud, AI analyzes the level of risk and notifies the smart glasses with advice such as, "Please stay calm and take deep breaths." In this way, the user receives quick and clear instructions. An example of a prompt sentence to be input into the generating AI model is, "Generate the optimal health promotion procedure based on the current health status and past trends."

[0341] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0342] Step 1:

[0343] The device collects the user's biometric data. Specifically, sensors built into the device continuously measure heart rate, blood pressure, body temperature, activity level, sleep quality, and other parameters. The data obtained becomes input and is temporarily stored within the device.

[0344] Step 2:

[0345] The device transmits the collected biometric data to the cloud infrastructure via a smartphone. To ensure security during data transmission, the data is encrypted and converted to a format suitable for cloud storage. This converted data is the output.

[0346] Step 3:

[0347] The server retrieves and analyzes data stored on the cloud infrastructure. The data is used as input, and a generative AI model utilizing TensorFlow compares it with historical data to detect anomalies and assess health risks. The analysis results output an evaluation of the user's health status.

[0348] Step 4:

[0349] The server generates optimal health promotion procedures based on the analysis results. Using the prompt "Generate optimal health promotion procedures based on current health status and past trends," the generating AI constructs procedures including diet and exercise plans. These procedures are then output.

[0350] Step 5:

[0351] The server sends the generated health promotion instructions to the device. The device displays the instructions on smart glasses and notifies the user audibly as needed. Thus, the generated instructions are output both visually and audibly.

[0352] Step 6:

[0353] Users follow the provided health promotion procedures and implement them in their daily lives. They input the results and their impressions as feedback into the device. This feedback is then sent to the server as new data in the next stage.

[0354] Step 7:

[0355] The server receives feedback from users, and the generating AI analyzes this feedback to improve the procedures. The feedback becomes input, the health promotion procedures are adjusted, and these adjustments are reflected in the generation of procedures in the future.

[0356] 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.

[0357] This invention relates to a comprehensive health management system that utilizes data related to a user's health and emotions. The system operates by combining sensors for monitoring the user's health data with an emotion engine for analyzing emotions. The specific operation of the system is described below.

[0358] The device is equipped with multiple sensors to collect biometric information such as the user's heart rate, body temperature, blood pressure, activity level, and sleep quality. This sensor data is updated in real time and serves as foundational data for understanding the user's health status. In addition, the emotion engine analyzes the user's voice tone and facial expression data to evaluate their emotional state in real time.

[0359] This data is transmitted via the device to a cloud-based server. The data is encrypted, transmitted to the server via a secure communication channel, and stored in a database. The stored health and emotional data are then comprehensively analyzed by a generative AI system.

[0360] The server uses generative AI to comprehensively assess the user's health status and generate a health promotion program. Leveraging insights from emotional data, it creates a program that also considers the user's mental health. This program includes specific advice on diet, exercise, and mental care. For example, if the user experiences significant emotional fluctuations, it might recommend activities that promote relaxation.

[0361] The device receives health promotion programs sent from the server and notifies the user. These notifications are delivered using on-screen displays and audio to aid user understanding. This helps users become more aware of their health status and encourages them to take appropriate actions.

[0362] By providing feedback on the results of following the program, the system obtains additional data to be used for analysis in the next cycle. This feedback includes reports on the program's implementation, improvements made, and difficulties encountered. The terminal sends this information to the server, which is then used to refine the user's next program.

[0363] For example, if a user experiences stress during a particular activity, the emotion engine detects this and sends the analysis results along with the user's increased heart rate. The server then generates a new health promotion program to reduce stress and suggests yoga exercises to help the user relax.

[0364] Thus, the present invention provides comprehensive support for the physical and mental health of the elderly and enables appropriate responses to individual needs.

[0365] The following describes the processing flow.

[0366] Step 1:

[0367] The device uses multiple sensors to collect health data such as the user's heart rate, body temperature, blood pressure, and activity level. Additionally, an emotion engine detects the user's voice tone and facial expressions to collect emotional data.

[0368] Step 2:

[0369] The device temporarily stores the collected health and emotional data, and then securely transmits it to the server via a cloud infrastructure.

[0370] Step 3:

[0371] The server receives data sent from the terminal and securely records it in the database. It verifies the integrity of the data and makes corrections as needed if there are any inconsistencies.

[0372] Step 4:

[0373] The server uses a generative AI engine to comprehensively analyze the received health and emotional data. The analysis assesses not only the health status but also the impact of emotional changes on health.

[0374] Step 5:

[0375] Based on the analysis results, the server generates a personalized health promotion program that addresses the user's health and emotional state. For example, if a high stress level is detected, a program incorporating relaxation sessions will be set up.

[0376] Step 6:

[0377] The server sends the generated health promotion program to the terminal, ensuring that the user receives notifications at the appropriate time.

[0378] Step 7:

[0379] The device notifies the user of health promotion programs. Notifications are made using visual displays and auditory alerts to help the user understand and participate in the programs.

[0380] Step 8:

[0381] Users adjust their daily activities based on programs provided by the device and input the results and their impressions as feedback into the device.

[0382] Step 9:

[0383] The device collects user feedback, formats it efficiently, and sends it to the server.

[0384] Step 10:

[0385] The server analyzes the feedback received from the terminal and, if necessary, improves the health promotion program provided in the next cycle, thereby increasing its accuracy. Through this cycle, the system continuously provides support tailored to the user's health and emotional state.

[0386] (Example 2)

[0387] 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".

[0388] In modern society, personal health management is becoming an increasingly important issue. In particular, there is a demand for comprehensive health management that includes not only physical health but also mental health. However, conventional systems lacked the means to efficiently integrate users' health and emotional data and provide individually optimized health promotion programs. Furthermore, the lack of a well-established mechanism for appropriately incorporating the feedback received into subsequent programs made it difficult to provide health management that met the actual needs of users.

[0389] 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.

[0390] In this invention, the server includes means for securely transmitting and storing the user's physical and emotional information on a remote information processing platform, means for comprehensively analyzing the stored information using a generating AI to evaluate the user's health and emotional state, and means for generating a health promotion program that takes mental health into consideration based on the evaluation results. This enables a comprehensive understanding of the user's physical and mental health, and allows for personalized and appropriately adjusted health management.

[0391] A "user" refers to an individual who uses a health management system, and the information obtained from their physical and emotional state is the subject of analysis.

[0392] "Physical information" refers to data related to the user's physiological state, such as heart rate, body temperature, blood pressure, activity level, and sleep quality.

[0393] "Emotional information" refers to data that indicates the user's emotional state, obtained from their voice tone and facial expressions.

[0394] A "measuring device" is a hardware device used to acquire physical and emotional information, and includes heart rate monitors and temperature sensors.

[0395] "Secure transmission" means communicating data while ensuring security, and it is a process that uses encryption technology to prevent unauthorized access.

[0396] A "remote information processing infrastructure" refers to a remote system or cloud environment for storing and processing data via the internet or other means.

[0397] "Generative AI" refers to artificial intelligence technology that analyzes data to make meaningful evaluations and suggestions, and includes natural language processing and machine learning algorithms.

[0398] A "health promotion program" refers to a plan that compiles guidelines and advice provided to maintain and improve the physical and mental health of users.

[0399] A "display device" is a display device used to convey information to a user, and includes smartphones and tablets.

[0400] "Feedback" refers to evaluations and opinions that users convey regarding the results and impressions of their program implementation, and this information is used by the system in the next cycle.

[0401] A "warning state" refers to a situation in which an unusual fluctuation is observed in the user's physical or emotional state, requiring attention or intervention.

[0402] This invention provides a comprehensive health management system that utilizes the user's physical and emotional information. The terminal uses multiple measuring devices to monitor the user's heart rate, body temperature, blood pressure, activity level, sleep quality, etc. These measuring devices include wearable devices, such as a device for measuring heart rate and a sensor for sensing the user's body temperature. Furthermore, the terminal is equipped with a voice input device and a video input device to acquire the user's voice tone and facial expressions, and to collect emotional information.

[0403] The collected physical and emotional information is encrypted and securely transmitted to a server on a cloud infrastructure. The server receives this information and stores it in a database. TLS / SSL is used as the secure communication protocol. On the server, a generative AI model is used to comprehensively analyze the user's health and emotional state based on the stored information. Natural language processing techniques and machine learning algorithms are used for the analysis to evaluate the user's stress level and overall health trends.

[0404] Based on the analysis results, the server generates a health promotion program. Prompts generated using the AI ​​model might include phrases like, "If the user is assessed as prone to stress, create a program to reduce stress." This program includes activities that contribute to both physical and mental health, such as specific suggestions for daily exercise and meditation.

[0405] The generated health promotion program is sent to the device and the user is notified. The device uses a display and voice guidance to clearly explain the program details to the user. For example, a reminder for a scheduled yoga session is displayed on the device screen, and a voice assistant explains the content of the next exercise.

[0406] After the user runs the program, feedback is collected and sent to the server via the terminal. The server can analyze the feedback and use it to improve the health promotion program in the next cycle. This allows the user to enjoy health management optimized for their specific needs.

[0407] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0408] Step 1:

[0409] The device collects the user's physical and emotional information through measuring devices. Input data includes heart rate, body temperature, blood pressure, activity level, and sleep quality, supplemented by emotional information such as voice tone and facial expressions. To acquire this data, the device utilizes sensors, microphones, and cameras to capture data in real time. The output is a compilation of these datasets.

[0410] Step 2:

[0411] The device encrypts the collected data and sends it to a server on the cloud infrastructure. The input data consists of user information collected from sensors, microphones, and cameras, and is encrypted using TLS / SSL before transmission. The output is securely protected communication data. This process involves the specific operation of sending data to the server using wireless communication technology.

[0412] Step 3:

[0413] The server stores the received data in a database. The input is encrypted data sent from the terminal, and the server decrypts it and stores it in the database, thus organizing the data. The output is structured and stored user information. At this stage, a SQL database or similar is used to maintain the data in a manageable format.

[0414] Step 4:

[0415] The server uses a generative AI model to analyze stored data. The input consists of biometric and emotional information stored in a database. The server inputs this data into the generative AI model, performing data calculations to analyze health status and emotional trends. The output is a health status assessment report for the user. This analysis utilizes data modeling based on machine learning algorithms.

[0416] Step 5:

[0417] The server generates a health promotion program based on the analysis results. The input is a health status assessment report, and the program is constructed using prompts generated by a generation AI model. An example of a prompt is, "Create a new exercise program to reduce stress." The output is a health promotion program optimized for each user.

[0418] Step 6:

[0419] The terminal notifies the user of health promotion programs received from the server. The input is the health promotion program data sent from the server, and the terminal uses its notification function to communicate this to the user via screen display and audio. The output is an executable program notification provided to the user. Specifically, the terminal issues an alert and displays it as a schedule reminder.

[0420] Step 7:

[0421] Users follow a health promotion program and input the results as feedback into a terminal. This input, which is feedback information regarding the program's performance, is sent from the terminal to a server. The output is used as user feedback data for the next analysis cycle. This process can utilize questionnaire-style forms or voice input.

[0422] (Application Example 2)

[0423] 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."

[0424] It is difficult to comprehensively manage the physical and mental health of the elderly and those receiving care, and to provide effective, prompt, and appropriate care. Furthermore, there is a lack of effective means for caregivers to obtain relevant information in real time and respond immediately.

[0425] 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.

[0426] In this invention, the server includes means for collecting biometric and emotional information, means for storing that information in the cloud, and means for evaluating health and emotional states based on that information. This makes it possible to generate personalized health promotion plans in real time and notify caregivers.

[0427] A "user" is an individual who uses a health management system and provides data related to their health and emotions.

[0428] "Biometric information" refers to data that indicates the user's physical condition, such as heart rate, body temperature, blood pressure, activity level, and sleep quality.

[0429] "Emotional information" refers to data that indicates the user's emotional state, analyzed from sources such as voice tone and facial expression data.

[0430] A "detection device" is a device such as a sensor or camera used to collect a user's biometric and emotional information.

[0431] A "cloud infrastructure" is a server environment for storing, managing, and analyzing data via the internet.

[0432] "Generative AI" is an artificial intelligence technology that evaluates health and emotional states based on collected information and generates personalized health promotion plans.

[0433] A "health promotion plan" is a plan that includes specific guidelines and activity suggestions aimed at improving and maintaining the health and emotional state of each individual user.

[0434] A "display device" is a device used to visually or audibly communicate a generated health promotion plan to caregivers or users.

[0435] "Feedback" refers to information such as evaluations, results, and requests that users provide regarding the implementation of a health promotion plan.

[0436] "Optimization" is the process of adjusting health promotion plans to suit the individual needs and circumstances of users, based on feedback.

[0437] The system implementing this invention has the function of collecting the user's biometric and emotional information using a detection device, and transmitting and storing this information on a server using a cloud infrastructure. The server encrypts and securely manages the biometric and emotional information. This information is analyzed by a generating AI to comprehensively evaluate the user's health and emotional state.

[0438] Based on the evaluation results, the server generates a personalized health promotion plan. This plan takes into account the user's current physical condition and emotions, and includes suggestions for optimal diet, exercise, and mental care. For example, for users with significant emotional fluctuations, activities to promote relaxation can be suggested. The generated health promotion plan is communicated to caregivers in visual or auditory form through a display device worn by the caregiver. User feedback is also input into the system, and the server analyzes this feedback information to optimize the health promotion plan.

[0439] For example, if an elderly resident in a care facility is experiencing stress, the AI ​​can detect this, and the server can notify a display device with suggestions for relaxation music or simple yoga exercises. Furthermore, in emergencies, data can be directly shared with medical professionals to support a rapid initial response. This allows for the provision of appropriate care tailored to individual needs while ensuring the safety of the elderly.

[0440] Examples of prompt messages include, "Please suggest the most suitable relaxation activity when an elderly person's heart rate suddenly increases." Thus, the present invention provides a useful means of health management for both users and caregivers, particularly when used in nursing care facilities.

[0441] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0442] Step 1:

[0443] The terminal uses detection devices to collect the user's biometric information (heart rate, body temperature, blood pressure, etc.) and emotional information (voice tone, facial expression data, etc.). Input is various sensor data, and output is a set of collected biometric and emotional information. This data is updated in real time and formatted as initial processing.

[0444] Step 2:

[0445] The device encrypts the collected biometric and emotional information and sends it to a cloud-based server. The input is the set of collected information, and the output is the data stored in the cloud. To ensure data security in this step, encryption algorithms are used to protect the data.

[0446] Step 3:

[0447] The server retrieves data stored in the cloud and uses a generative AI model to comprehensively evaluate the user's health and emotional state. The input is biometric and emotional information obtained from the cloud infrastructure, and the output is the evaluation result of the user's health and emotional state. Here, the data is analyzed, and feature extraction and pattern recognition are performed.

[0448] Step 4:

[0449] The server generates a personalized health promotion plan using generative AI based on the evaluation results. The input is the evaluation results, and the output is the health promotion plan. This process automatically generates suggestions for diet, exercise, and mental care. The suggestions are structured as prompt messages.

[0450] Step 5:

[0451] The server notifies the terminal of the generated health promotion plan, which then communicates it to the caregiver or user visually or audibly through its display device. The input is the health promotion plan, and the output is the notification to the user via the terminal's display or speaker. This allows the user or caregiver to check the suggestions in real time.

[0452] Step 6:

[0453] Users execute the notified health promotion plan and input feedback to the server via their device. Input consists of feedback information such as execution results and impressions, while output is an update of the feedback data to the cloud. This feedback information is used to refine the plan in the next cycle.

[0454] Step 7:

[0455] The server analyzes the received feedback and makes adjustments to optimize the health promotion plan. The input is feedback information, and the output is the adjusted plan. New insights gained from the feedback are used to update the plan using the generative AI again. This step improves the effectiveness of subsequent programs.

[0456] 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.

[0457] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One 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.

[0458] 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.

[0459] [Third Embodiment]

[0460] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0461] 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.

[0462] 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).

[0463] 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.

[0464] 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.

[0465] 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).

[0466] 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.

[0467] 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.

[0468] 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.

[0469] 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.

[0470] 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.

[0471] 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".

[0472] This invention relates to a system that monitors a user's health data in real time and provides a health promotion program based on the analysis results, in order to support the health management of the elderly. The main components of the system consist of a series of sensors that the user wears or places nearby, a terminal for transmitting and receiving data, and a server that is responsible for analysis and generation.

[0473] First, the device collects the user's vital data through multiple sensors. This includes heart rate, blood pressure, body temperature, activity level, and sleep quality. This data is crucial for understanding the user's condition in detail and is updated in real time.

[0474] The device sends the collected data to the server using a cloud infrastructure. The data is encrypted before transmission and stored securely. The server organizes and maintains the transmitted data in a database.

[0475] Next, the server uses generative AI technology to analyze the received data and assess the user's current health status. This analysis includes historical data, enabling a detailed assessment tailored to each individual user. The health status assessment includes detecting anomalies and predicting health risks, and based on this, appropriate recommendations are developed.

[0476] Based on the analysis results, the server generates a personalized health promotion program. This program includes advice on appropriate diet and exercise plans. Furthermore, the program is dynamically updated and adjusted as the user's condition changes.

[0477] The device notifies the user of health promotion programs sent from the server. These notifications are delivered via screen displays, audio output, and other means. Users are encouraged to adjust their daily lives and manage their health based on these notifications.

[0478] Users provide feedback on the results and their impressions of following the program. This feedback is sent back to the server via the device, and the generating AI uses this information to further improve the health promotion program.

[0479] As a specific example, if an elderly person exhibits an abnormal heart rate, the device immediately sends data to a server, which collects the abnormality as an analysis result. The server then generates an appropriate health promotion program and communicates it to the user via the device. The user then follows the instructions to take actions to return their heart rate to normal and provides feedback on the results.

[0480] In this way, the entire system continuously and dynamically manages the user's health, providing an environment where elderly people can live safely and securely at home.

[0481] The following describes the processing flow.

[0482] Step 1:

[0483] The device collects health-related data such as heart rate, body temperature, blood pressure, activity level, and sleep quality through sensors worn by the user. This data is updated in real time.

[0484] Step 2:

[0485] The terminal performs an integrity check on the collected data, encrypts it, and sends it to a server on the cloud infrastructure with established communication.

[0486] Step 3:

[0487] The server stores the health data received from the terminal in a database and re-verifies that the data is consistent.

[0488] Step 4:

[0489] The server uses generated AI to analyze stored data. It assesses the user's health status, detects anomalies, and predicts future health risks.

[0490] Step 5:

[0491] Based on the analysis results, the server generates a personalized health promotion program for each user. This program includes specific advice on diet, exercise, and lifestyle habits for maintaining and improving health.

[0492] Step 6:

[0493] The server sends the generated health promotion program to the terminal.

[0494] Step 7:

[0495] The device notifies the user of health promotion programs received from the server. Notifications are made using screens and audio.

[0496] Step 8:

[0497] Users adjust their daily lifestyle habits based on the health promotion program they receive and input the results into their device.

[0498] Step 9:

[0499] The device manages user feedback and sends it to the server in an efficient format.

[0500] Step 10:

[0501] The server analyzes user feedback and uses generative AI to improve the accuracy of the health promotion program.

[0502] Through this series of steps, the system dynamically manages the health of older adults and provides effective support to promote their health in their daily lives.

[0503] (Example 1)

[0504] 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."

[0505] In an aging society, managing the health of the elderly, who require individualized care, is a challenge that cannot be addressed by conventional, uniform methods. Furthermore, there is a need for more advanced care, such as appropriate advice tailored to each individual's health condition and prompt response in emergencies.

[0506] 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.

[0507] In this invention, the server includes multiple measuring devices for collecting the user's physiological data, means for acquiring the data, means for transmitting and storing the acquired data in a storage device using wireless communication, and means for analyzing the stored data and evaluating the health status using generated artificial intelligence. This makes it possible to grasp the individual's health status in real time and dynamically generate and improve health promotion plans.

[0508] A "user" refers to an individual who uses the system, and specifically to elderly people who require health management.

[0509] "Physiological data" refers to basic physical information used to assess health status, including heart rate, blood pressure, body temperature, activity level, and sleep quality.

[0510] A "measuring device" is a device used to collect physiological data from a user, and includes sensors such as wearable devices.

[0511] "Wireless communication" refers to a method of transmitting data without using wires, and includes communication methods such as Bluetooth and Wi-Fi.

[0512] A "storage device" is a device used to store acquired data, and includes databases and cloud servers.

[0513] "Artificial intelligence" refers to a technology that uses software to analyze data and support decision-making, and specifically refers to technologies that utilize machine learning algorithms.

[0514] A "health promotion plan" refers to specific advice and action plans created to maintain and improve the user's health.

[0515] "Emergency" refers to a situation where a serious, unusual event occurs in the user's health condition.

[0516] "Initial response" refers to the crucial first action taken when an emergency occurs, with the aim of stabilizing the situation and avoiding danger.

[0517] This invention is a system for supporting the health management of the elderly, which monitors the user's physiological data in real time and provides a health promotion plan based on the analysis results.

[0518] The terminal collects physiological data such as heart rate, blood pressure, body temperature, activity level, and sleep quality from wearable devices and sensors worn by the user. Common wearable devices include wristwatch-type sensors and activity trackers. This data is transmitted to the terminal using Bluetooth or Wi-Fi, and the terminal then transmits this data to a server via wireless communication.

[0519] The server receives data from terminals via wireless communication and stores it in a database. The data is securely stored using AES encryption. The server analyzes the stored data using generative artificial intelligence models based on machine learning libraries such as Python's TensorFlow and PyTorch. This analysis compares the current data with past data to detect anomalies and assess health risks.

[0520] Based on the analysis results, the server dynamically generates a health promotion plan tailored to each individual user. This plan includes suggestions for dietary improvements and exercise plans, and its content is adjusted according to the user's current health status. For example, a user identified as being at high risk of hypertension will be offered a low-sodium diet plan and walking recommendations. The generated program is then communicated to the end user as detailed and personalized feedback.

[0521] The device notifies the user of a health promotion plan sent from the server via screen display and audio. Based on the notification, the user adjusts their daily life and manages their health. User feedback is sent back to the server through the device, and the generating AI model uses this information to further optimize the program.

[0522] For example, if a user's heart rate is abnormal, the device sends this information to a server, which analyzes it and generates advice such as, "Try deep breathing in a relaxed state and do 10 minutes of light stretching." This advice is then communicated to the user via the device, and the user follows the instructions.

[0523] Example of a prompt:

[0524] "Generate health advice for a user who experiences an abnormal heart rate. This user is elderly and requires special attention regarding cardiac care."

[0525] The system of this invention enables health management optimized for each individual user, providing an environment in which elderly people can live safely and securely at home.

[0526] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0527] Step 1:

[0528] The device acquires physiological data such as heart rate, blood pressure, body temperature, activity level, and sleep quality from sensors worn by the user. The input is biometric information from the sensors, which the device collects in real time and compiles into data. Specifically, it performs the operation of transferring data from the wearable device using a Bluetooth connection.

[0529] Step 2:

[0530] The terminal transmits acquired data to the server via wireless communication. The input is physiological data obtained from sensors, and the output is encrypted data transmitted to the server. In this process, the data is secured using AES encryption and transmitted to the cloud infrastructure. This procedure ensures that the data is securely transmitted to the server.

[0531] Step 3:

[0532] The server receives data sent from the terminal and stores it in the database. The input is encrypted data received from the terminal, and the output is a record stored in the database in an organized format. Specifically, it performs operations to organize the data by adding time information.

[0533] Step 4:

[0534] The server analyzes the stored data using a generative AI model. The input is physiological data obtained from a database, and the output is an evaluation of the user's health status. In this step, data analysis is performed using the Python TensorFlow library to specifically detect anomalies and analyze trends.

[0535] Step 5:

[0536] The server generates a personalized health promotion plan based on the analysis results. The input is the user's health assessment results, and the output is a personalized health promotion plan. Using a generative AI model, the plan is created to include clear advice, such as "recommended to do light exercise three times a week."

[0537] Step 6:

[0538] The device notifies the user of a health promotion plan sent from the server. The input is the plan data received from the server, and the output is the notification on the user's device. Specific actions include displaying the plan through a smartphone app or having a voice assistant provide verbal advice.

[0539] Step 7:

[0540] Users input feedback on the results and impressions based on the health promotion plan they have implemented. The input is feedback information after the plan has been completed, and the output is data sent to the server for improvement. Users perform specific actions to provide information using a terminal, such as touch input or voice input.

[0541] Step 8:

[0542] The server updates the health promotion plan based on user feedback. The input is feedback data, and the output is the improved health promotion plan. A generative AI model is used to analyze the feedback and incorporate it into future plans.

[0543] (Application Example 1)

[0544] 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."

[0545] For elderly people to live safely and securely at home, it is necessary to constantly monitor their health and respond quickly when abnormalities occur. However, conventional health management systems are insufficient in real-time status monitoring and providing appropriate health promotion methods, and furthermore, they lack means of notifying users in an easy-to-understand manner. In addition, there is a need for appropriate feedback in response to changes in the user's health condition and an emergency response system. This invention aims to solve these problems.

[0546] 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.

[0547] In this invention, the server includes means for having multiple devices for collecting the user's biometric data, means for transmitting and storing the collected information on a remote infrastructure, and means for notifying the user in real time through sight and hearing of the generated health promotion procedures. This makes it possible to continuously monitor the user's health status and provide personalized health promotion procedures.

[0548] A "user" is an individual who uses the system and receives notifications regarding health monitoring and health promotion procedures.

[0549] "Biometric data" refers to data that indicates a user's health status, such as heart rate, blood pressure, body temperature, activity level, and sleep quality.

[0550] "Device" refers to sensors and communication equipment capable of collecting and transmitting a user's biometric data.

[0551] "Information" refers to all data necessary for user health management, including the biometric data mentioned above.

[0552] A "remote infrastructure" is a system that utilizes cloud computing technology to store and manage data via the internet.

[0553] A "health promotion procedure" is a series of steps aimed at health management, such as dietary improvements and exercise advice, which are suggested to each individual user based on the collected data.

[0554] "Visual and auditory" notifications are methods of notifying users using displays and audio output to make it easier for them to receive information in real time.

[0555] "Real-time notification" refers to a system that immediately transmits information to the user the moment it occurs.

[0556] The system implementing this invention utilizes a user-worn device such as a smartwatch or smart glasses. The device is equipped with multiple sensors for collecting biometric data, including heart rate, blood pressure, body temperature, activity level, and sleep quality, all of which are collected in real time. The collected data is transmitted from the device to a cloud infrastructure via the user's smartphone. This cloud infrastructure includes a database utilizing encryption technology for secure data storage.

[0557] The server uses generative AI to analyze biometric data stored on the cloud infrastructure. The analysis utilizes AI frameworks such as TensorFlow to evaluate the user's health status, including historical data. This allows for early detection of changes in the user's health status and the immediate generation of personalized health promotion procedures when abnormalities occur. These generated health promotion procedures are communicated in real-time via visual and auditory means through the user's smart glasses.

[0558] User feedback is sent from the smartwatch device to the server via the cloud, and the generating AI learns from this new information to dynamically adjust health promotion procedures. This makes it possible to provide more accurate and personalized healthcare services.

[0559] As a concrete example, consider a situation in a household with an elderly person going about their daily life where their heart rate becomes abnormally high. In this case, the smartwatch detects the anomaly and immediately sends the data to the cloud. In the cloud, AI analyzes the level of risk and notifies the smart glasses with advice such as, "Please stay calm and take deep breaths." In this way, the user receives quick and clear instructions. An example of a prompt sentence to be input into the generating AI model is, "Generate the optimal health promotion procedure based on the current health status and past trends."

[0560] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0561] Step 1:

[0562] The device collects the user's biometric data. Specifically, sensors built into the device continuously measure heart rate, blood pressure, body temperature, activity level, sleep quality, and other parameters. The data obtained becomes input and is temporarily stored within the device.

[0563] Step 2:

[0564] The device transmits the collected biometric data to the cloud infrastructure via a smartphone. To ensure security during data transmission, the data is encrypted and converted to a format suitable for cloud storage. This converted data is the output.

[0565] Step 3:

[0566] The server retrieves and analyzes data stored on the cloud infrastructure. The data is used as input, and a generative AI model utilizing TensorFlow compares it with historical data to detect anomalies and assess health risks. The analysis results output an evaluation of the user's health status.

[0567] Step 4:

[0568] The server generates optimal health promotion procedures based on the analysis results. Using the prompt "Generate optimal health promotion procedures based on current health status and past trends," the generating AI constructs procedures including diet and exercise plans. These procedures are then output.

[0569] Step 5:

[0570] The server sends the generated health promotion instructions to the device. The device displays the instructions on smart glasses and notifies the user audibly as needed. Thus, the generated instructions are output both visually and audibly.

[0571] Step 6:

[0572] Users follow the provided health promotion procedures and implement them in their daily lives. They input the results and their impressions as feedback into the device. This feedback is then sent to the server as new data in the next stage.

[0573] Step 7:

[0574] The server receives feedback from users, and the generating AI analyzes this feedback to improve the procedures. The feedback becomes input, the health promotion procedures are adjusted, and these adjustments are reflected in the generation of procedures in the future.

[0575] 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.

[0576] This invention relates to a comprehensive health management system that utilizes data related to a user's health and emotions. The system operates by combining sensors for monitoring the user's health data with an emotion engine for analyzing emotions. The specific operation of the system is described below.

[0577] The device is equipped with multiple sensors to collect biometric information such as the user's heart rate, body temperature, blood pressure, activity level, and sleep quality. This sensor data is updated in real time and serves as foundational data for understanding the user's health status. In addition, the emotion engine analyzes the user's voice tone and facial expression data to evaluate their emotional state in real time.

[0578] This data is transmitted via the device to a cloud-based server. The data is encrypted, transmitted to the server via a secure communication channel, and stored in a database. The stored health and emotional data are then comprehensively analyzed by a generative AI system.

[0579] The server uses generative AI to comprehensively assess the user's health status and generate a health promotion program. Leveraging insights from emotional data, it creates a program that also considers the user's mental health. This program includes specific advice on diet, exercise, and mental care. For example, if the user experiences significant emotional fluctuations, it might recommend activities that promote relaxation.

[0580] The device receives health promotion programs sent from the server and notifies the user. These notifications are delivered using on-screen displays and audio to aid user understanding. This helps users become more aware of their health status and encourages them to take appropriate actions.

[0581] By providing feedback on the results of following the program, the system obtains additional data to be used for analysis in the next cycle. This feedback includes reports on the program's implementation, improvements made, and difficulties encountered. The terminal sends this information to the server, which is then used to refine the user's next program.

[0582] For example, if a user experiences stress during a particular activity, the emotion engine detects this and sends the analysis results along with the user's increased heart rate. The server then generates a new health promotion program to reduce stress and suggests yoga exercises to help the user relax.

[0583] Thus, the present invention provides comprehensive support for the physical and mental health of the elderly and enables appropriate responses to individual needs.

[0584] The following describes the processing flow.

[0585] Step 1:

[0586] The device uses multiple sensors to collect health data such as the user's heart rate, body temperature, blood pressure, and activity level. Additionally, an emotion engine detects the user's voice tone and facial expressions to collect emotional data.

[0587] Step 2:

[0588] The device temporarily stores the collected health and emotional data, and then securely transmits it to the server via a cloud infrastructure.

[0589] Step 3:

[0590] The server receives data sent from the terminal and securely records it in the database. It verifies the integrity of the data and makes corrections as needed if there are any inconsistencies.

[0591] Step 4:

[0592] The server uses a generative AI engine to comprehensively analyze the received health and emotional data. The analysis assesses not only the health status but also the impact of emotional changes on health.

[0593] Step 5:

[0594] Based on the analysis results, the server generates a personalized health promotion program that addresses the user's health and emotional state. For example, if a high stress level is detected, a program incorporating relaxation sessions will be set up.

[0595] Step 6:

[0596] The server sends the generated health promotion program to the terminal, ensuring that the user receives notifications at the appropriate time.

[0597] Step 7:

[0598] The device notifies the user of health promotion programs. Notifications are made using visual displays and auditory alerts to help the user understand and participate in the programs.

[0599] Step 8:

[0600] Users adjust their daily activities based on programs provided by the device and input the results and their impressions as feedback into the device.

[0601] Step 9:

[0602] The device collects user feedback, formats it efficiently, and sends it to the server.

[0603] Step 10:

[0604] The server analyzes the feedback received from the terminal and, if necessary, improves the health promotion program provided in the next cycle, thereby increasing its accuracy. Through this cycle, the system continuously provides support tailored to the user's health and emotional state.

[0605] (Example 2)

[0606] 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."

[0607] In modern society, personal health management is becoming an increasingly important issue. In particular, there is a demand for comprehensive health management that includes not only physical health but also mental health. However, conventional systems lacked the means to efficiently integrate users' health and emotional data and provide individually optimized health promotion programs. Furthermore, the lack of a well-established mechanism for appropriately incorporating the feedback received into subsequent programs made it difficult to provide health management that met the actual needs of users.

[0608] 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.

[0609] In this invention, the server includes means for securely transmitting and storing the user's physical and emotional information on a remote information processing platform, means for comprehensively analyzing the stored information using a generating AI to evaluate the user's health and emotional state, and means for generating a health promotion program that takes mental health into consideration based on the evaluation results. This enables a comprehensive understanding of the user's physical and mental health, and allows for personalized and appropriately adjusted health management.

[0610] A "user" refers to an individual who uses a health management system, and the information obtained from their physical and emotional state is the subject of analysis.

[0611] "Physical information" refers to data related to the user's physiological state, such as heart rate, body temperature, blood pressure, activity level, and sleep quality.

[0612] "Emotional information" refers to data that indicates the user's emotional state, obtained from their voice tone and facial expressions.

[0613] A "measuring device" is a hardware device used to acquire physical and emotional information, and includes heart rate monitors and temperature sensors.

[0614] "Secure transmission" means communicating data while ensuring security, and it is a process that uses encryption technology to prevent unauthorized access.

[0615] A "remote information processing infrastructure" refers to a remote system or cloud environment for storing and processing data via the internet or other means.

[0616] "Generative AI" refers to artificial intelligence technology that analyzes data to make meaningful evaluations and suggestions, and includes natural language processing and machine learning algorithms.

[0617] A "health promotion program" refers to a plan that compiles guidelines and advice provided to maintain and improve the physical and mental health of users.

[0618] A "display device" is a display device used to convey information to a user, and includes smartphones and tablets.

[0619] "Feedback" refers to evaluations and opinions that users convey regarding the results and impressions of their program implementation, and this information is used by the system in the next cycle.

[0620] A "warning state" refers to a situation in which an unusual fluctuation is observed in the user's physical or emotional state, requiring attention or intervention.

[0621] This invention provides a comprehensive health management system that utilizes the user's physical and emotional information. The terminal uses multiple measuring devices to monitor the user's heart rate, body temperature, blood pressure, activity level, sleep quality, etc. These measuring devices include wearable devices, such as a device for measuring heart rate and a sensor for sensing the user's body temperature. Furthermore, the terminal is equipped with a voice input device and a video input device to acquire the user's voice tone and facial expressions, and to collect emotional information.

[0622] The collected physical and emotional information is encrypted and securely transmitted to a server on a cloud infrastructure. The server receives this information and stores it in a database. TLS / SSL is used as the secure communication protocol. On the server, a generative AI model is used to comprehensively analyze the user's health and emotional state based on the stored information. Natural language processing techniques and machine learning algorithms are used for the analysis to evaluate the user's stress level and overall health trends.

[0623] Based on the analysis results, the server generates a health promotion program. Prompts generated using the AI ​​model might include phrases like, "If the user is assessed as prone to stress, create a program to reduce stress." This program includes activities that contribute to both physical and mental health, such as specific suggestions for daily exercise and meditation.

[0624] The generated health promotion program is sent to the device and the user is notified. The device uses a display and voice guidance to clearly explain the program details to the user. For example, a reminder for a scheduled yoga session is displayed on the device screen, and a voice assistant explains the content of the next exercise.

[0625] After the user runs the program, feedback is collected and sent to the server via the terminal. The server can analyze the feedback and use it to improve the health promotion program in the next cycle. This allows the user to enjoy health management optimized for their specific needs.

[0626] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0627] Step 1:

[0628] The device collects the user's physical and emotional information through measuring devices. Input data includes heart rate, body temperature, blood pressure, activity level, and sleep quality, supplemented by emotional information such as voice tone and facial expressions. To acquire this data, the device utilizes sensors, microphones, and cameras to capture data in real time. The output is a compilation of these datasets.

[0629] Step 2:

[0630] The device encrypts the collected data and sends it to a server on the cloud infrastructure. The input data consists of user information collected from sensors, microphones, and cameras, and is encrypted using TLS / SSL before transmission. The output is securely protected communication data. This process involves the specific operation of sending data to the server using wireless communication technology.

[0631] Step 3:

[0632] The server stores the received data in a database. The input is encrypted data sent from the terminal, and the server decrypts it and stores it in the database, thus organizing the data. The output is structured and stored user information. At this stage, a SQL database or similar is used to maintain the data in a manageable format.

[0633] Step 4:

[0634] The server uses a generative AI model to analyze stored data. The input consists of biometric and emotional information stored in a database. The server inputs this data into the generative AI model, performing data calculations to analyze health status and emotional trends. The output is a health status assessment report for the user. This analysis utilizes data modeling based on machine learning algorithms.

[0635] Step 5:

[0636] The server generates a health promotion program based on the analysis results. The input is a health status assessment report, and the program is constructed using prompts generated by a generation AI model. An example of a prompt is, "Create a new exercise program to reduce stress." The output is a health promotion program optimized for each user.

[0637] Step 6:

[0638] The terminal notifies the user of health promotion programs received from the server. The input is the health promotion program data sent from the server, and the terminal uses its notification function to communicate this to the user via screen display and audio. The output is an executable program notification provided to the user. Specifically, the terminal issues an alert and displays it as a schedule reminder.

[0639] Step 7:

[0640] Users follow a health promotion program and input the results as feedback into a terminal. This input, which is feedback information regarding the program's performance, is sent from the terminal to a server. The output is used as user feedback data for the next analysis cycle. This process can utilize questionnaire-style forms or voice input.

[0641] (Application Example 2)

[0642] 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."

[0643] It is difficult to comprehensively manage the physical and mental health of the elderly and those receiving care, and to provide effective, prompt, and appropriate care. Furthermore, there is a lack of effective means for caregivers to obtain relevant information in real time and respond immediately.

[0644] 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.

[0645] In this invention, the server includes means for collecting biometric and emotional information, means for storing that information in the cloud, and means for evaluating health and emotional states based on that information. This makes it possible to generate personalized health promotion plans in real time and notify caregivers.

[0646] A "user" is an individual who uses a health management system and provides data related to their health and emotions.

[0647] "Biometric information" refers to data that indicates the user's physical condition, such as heart rate, body temperature, blood pressure, activity level, and sleep quality.

[0648] "Emotional information" refers to data that indicates the user's emotional state, analyzed from sources such as voice tone and facial expression data.

[0649] A "detection device" is a device such as a sensor or camera used to collect a user's biometric and emotional information.

[0650] A "cloud infrastructure" is a server environment for storing, managing, and analyzing data via the internet.

[0651] "Generative AI" is an artificial intelligence technology that evaluates health and emotional states based on collected information and generates personalized health promotion plans.

[0652] A "health promotion plan" is a plan that includes specific guidelines and activity suggestions aimed at improving and maintaining the health and emotional state of each individual user.

[0653] A "display device" is a device used to visually or audibly communicate a generated health promotion plan to caregivers or users.

[0654] "Feedback" refers to information such as evaluations, results, and requests that users provide regarding the implementation of a health promotion plan.

[0655] "Optimization" is the process of adjusting health promotion plans to suit the individual needs and circumstances of users, based on feedback.

[0656] The system implementing this invention has the function of collecting the user's biometric and emotional information using a detection device, and transmitting and storing this information on a server using a cloud infrastructure. The server encrypts and securely manages the biometric and emotional information. This information is analyzed by a generating AI to comprehensively evaluate the user's health and emotional state.

[0657] Based on the evaluation results, the server generates a personalized health promotion plan. This plan takes into account the user's current physical condition and emotions, and includes suggestions for optimal diet, exercise, and mental care. For example, for users with significant emotional fluctuations, activities to promote relaxation can be suggested. The generated health promotion plan is communicated to caregivers in visual or auditory form through a display device worn by the caregiver. User feedback is also input into the system, and the server analyzes this feedback information to optimize the health promotion plan.

[0658] For example, if an elderly resident in a care facility is experiencing stress, the AI ​​can detect this, and the server can notify a display device with suggestions for relaxation music or simple yoga exercises. Furthermore, in emergencies, data can be directly shared with medical professionals to support a rapid initial response. This allows for the provision of appropriate care tailored to individual needs while ensuring the safety of the elderly.

[0659] Examples of prompt messages include, "Please suggest the most suitable relaxation activity when an elderly person's heart rate suddenly increases." Thus, the present invention provides a useful means of health management for both users and caregivers, particularly when used in nursing care facilities.

[0660] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0661] Step 1:

[0662] The terminal uses detection devices to collect the user's biometric information (heart rate, body temperature, blood pressure, etc.) and emotional information (voice tone, facial expression data, etc.). Input is various sensor data, and output is a set of collected biometric and emotional information. This data is updated in real time and formatted as initial processing.

[0663] Step 2:

[0664] The device encrypts the collected biometric and emotional information and sends it to a cloud-based server. The input is the set of collected information, and the output is the data stored in the cloud. To ensure data security in this step, encryption algorithms are used to protect the data.

[0665] Step 3:

[0666] The server retrieves data stored in the cloud and uses a generative AI model to comprehensively evaluate the user's health and emotional state. The input is biometric and emotional information obtained from the cloud infrastructure, and the output is the evaluation result of the user's health and emotional state. Here, the data is analyzed, and feature extraction and pattern recognition are performed.

[0667] Step 4:

[0668] The server generates a personalized health promotion plan using generative AI based on the evaluation results. The input is the evaluation results, and the output is the health promotion plan. This process automatically generates suggestions for diet, exercise, and mental care. The suggestions are structured as prompt messages.

[0669] Step 5:

[0670] The server notifies the terminal of the generated health promotion plan, which then communicates it to the caregiver or user visually or audibly through its display device. The input is the health promotion plan, and the output is the notification to the user via the terminal's display or speaker. This allows the user or caregiver to check the suggestions in real time.

[0671] Step 6:

[0672] Users execute the notified health promotion plan and input feedback to the server via their device. Input consists of feedback information such as execution results and impressions, while output is an update of the feedback data to the cloud. This feedback information is used to refine the plan in the next cycle.

[0673] Step 7:

[0674] The server analyzes the received feedback and makes adjustments to optimize the health promotion plan. The input is feedback information, and the output is the adjusted plan. New insights gained from the feedback are used to update the plan using the generative AI again. This step improves the effectiveness of subsequent programs.

[0675] 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.

[0676] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One 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.

[0677] 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.

[0678] [Fourth Embodiment]

[0679] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0680] 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.

[0681] 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).

[0682] 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.

[0683] 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.

[0684] 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).

[0685] 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.

[0686] 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.

[0687] 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.

[0688] 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.

[0689] 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.

[0690] 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.

[0691] 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".

[0692] This invention relates to a system that monitors a user's health data in real time and provides a health promotion program based on the analysis results, in order to support the health management of the elderly. The main components of the system consist of a series of sensors that the user wears or places nearby, a terminal for transmitting and receiving data, and a server that is responsible for analysis and generation.

[0693] First, the device collects the user's vital data through multiple sensors. This includes heart rate, blood pressure, body temperature, activity level, and sleep quality. This data is crucial for understanding the user's condition in detail and is updated in real time.

[0694] The device sends the collected data to the server using a cloud infrastructure. The data is encrypted before transmission and stored securely. The server organizes and maintains the transmitted data in a database.

[0695] Next, the server uses generative AI technology to analyze the received data and assess the user's current health status. This analysis includes historical data, enabling a detailed assessment tailored to each individual user. The health status assessment includes detecting anomalies and predicting health risks, and based on this, appropriate recommendations are developed.

[0696] Based on the analysis results, the server generates a personalized health promotion program. This program includes advice on appropriate diet and exercise plans. Furthermore, the program is dynamically updated and adjusted as the user's condition changes.

[0697] The device notifies the user of health promotion programs sent from the server. These notifications are delivered via screen displays, audio output, and other means. Users are encouraged to adjust their daily lives and manage their health based on these notifications.

[0698] Users provide feedback on the results and their impressions of following the program. This feedback is sent back to the server via the device, and the generating AI uses this information to further improve the health promotion program.

[0699] As a specific example, if an elderly person exhibits an abnormal heart rate, the device immediately sends data to a server, which collects the abnormality as an analysis result. The server then generates an appropriate health promotion program and communicates it to the user via the device. The user then follows the instructions to take actions to return their heart rate to normal and provides feedback on the results.

[0700] In this way, the entire system continuously and dynamically manages the user's health, providing an environment where elderly people can live safely and securely at home.

[0701] The following describes the processing flow.

[0702] Step 1:

[0703] The device collects health-related data such as heart rate, body temperature, blood pressure, activity level, and sleep quality through sensors worn by the user. This data is updated in real time.

[0704] Step 2:

[0705] The terminal performs an integrity check on the collected data, encrypts it, and sends it to a server on the cloud infrastructure with established communication.

[0706] Step 3:

[0707] The server stores the health data received from the terminal in a database and re-verifies that the data is consistent.

[0708] Step 4:

[0709] The server uses generated AI to analyze stored data. It assesses the user's health status, detects anomalies, and predicts future health risks.

[0710] Step 5:

[0711] Based on the analysis results, the server generates a personalized health promotion program for each user. This program includes specific advice on diet, exercise, and lifestyle habits for maintaining and improving health.

[0712] Step 6:

[0713] The server sends the generated health promotion program to the terminal.

[0714] Step 7:

[0715] The device notifies the user of health promotion programs received from the server. Notifications are made using screens and audio.

[0716] Step 8:

[0717] Users adjust their daily lifestyle habits based on the health promotion program they receive and input the results into their device.

[0718] Step 9:

[0719] The device manages user feedback and sends it to the server in an efficient format.

[0720] Step 10:

[0721] The server analyzes user feedback and uses generative AI to improve the accuracy of the health promotion program.

[0722] Through this series of steps, the system dynamically manages the health of older adults and provides effective support to promote their health in their daily lives.

[0723] (Example 1)

[0724] 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".

[0725] In an aging society, managing the health of the elderly, who require individualized care, is a challenge that cannot be addressed by conventional, uniform methods. Furthermore, there is a need for more advanced care, such as appropriate advice tailored to each individual's health condition and prompt response in emergencies.

[0726] 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.

[0727] In this invention, the server includes multiple measuring devices for collecting the user's physiological data, means for acquiring the data, means for transmitting and storing the acquired data in a storage device using wireless communication, and means for analyzing the stored data and evaluating the health status using generated artificial intelligence. This makes it possible to grasp the individual's health status in real time and dynamically generate and improve health promotion plans.

[0728] A "user" refers to an individual who uses the system, and specifically to elderly people who require health management.

[0729] "Physiological data" refers to basic physical information used to assess health status, including heart rate, blood pressure, body temperature, activity level, and sleep quality.

[0730] A "measuring device" is a device used to collect physiological data from a user, and includes sensors such as wearable devices.

[0731] "Wireless communication" refers to a method of transmitting data without using wires, and includes communication methods such as Bluetooth and Wi-Fi.

[0732] A "storage device" is a device used to store acquired data, and includes databases and cloud servers.

[0733] "Artificial intelligence" refers to a technology that uses software to analyze data and support decision-making, and specifically refers to technologies that utilize machine learning algorithms.

[0734] A "health promotion plan" refers to specific advice and action plans created to maintain and improve the user's health.

[0735] "Emergency" refers to a situation where a serious, unusual event occurs in the user's health condition.

[0736] "Initial response" refers to the crucial first action taken when an emergency occurs, with the aim of stabilizing the situation and avoiding danger.

[0737] This invention is a system for supporting the health management of the elderly, which monitors the user's physiological data in real time and provides a health promotion plan based on the analysis results.

[0738] The terminal collects physiological data such as heart rate, blood pressure, body temperature, activity level, and sleep quality from wearable devices and sensors worn by the user. Common wearable devices include wristwatch-type sensors and activity trackers. This data is transmitted to the terminal using Bluetooth or Wi-Fi, and the terminal then transmits this data to a server via wireless communication.

[0739] The server receives data from terminals via wireless communication and stores it in a database. The data is securely stored using AES encryption. The server analyzes the stored data using generative artificial intelligence models based on machine learning libraries such as Python's TensorFlow and PyTorch. This analysis compares the current data with past data to detect anomalies and assess health risks.

[0740] Based on the analysis results, the server dynamically generates a health promotion plan tailored to each individual user. This plan includes suggestions for dietary improvements and exercise plans, and its content is adjusted according to the user's current health status. For example, a user identified as being at high risk of hypertension will be offered a low-sodium diet plan and walking recommendations. The generated program is then communicated to the end user as detailed and personalized feedback.

[0741] The device notifies the user of a health promotion plan sent from the server via screen display and audio. Based on the notification, the user adjusts their daily life and manages their health. User feedback is sent back to the server through the device, and the generating AI model uses this information to further optimize the program.

[0742] For example, if a user's heart rate is abnormal, the device sends this information to a server, which analyzes it and generates advice such as, "Try deep breathing in a relaxed state and do 10 minutes of light stretching." This advice is then communicated to the user via the device, and the user follows the instructions.

[0743] Example of a prompt:

[0744] "Generate health advice for a user who experiences an abnormal heart rate. This user is elderly and requires special attention regarding cardiac care."

[0745] The system of this invention enables health management optimized for each individual user, providing an environment in which elderly people can live safely and securely at home.

[0746] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0747] Step 1:

[0748] The device acquires physiological data such as heart rate, blood pressure, body temperature, activity level, and sleep quality from sensors worn by the user. The input is biometric information from the sensors, which the device collects in real time and compiles into data. Specifically, it performs the operation of transferring data from the wearable device using a Bluetooth connection.

[0749] Step 2:

[0750] The terminal transmits acquired data to the server via wireless communication. The input is physiological data obtained from sensors, and the output is encrypted data transmitted to the server. In this process, the data is secured using AES encryption and transmitted to the cloud infrastructure. This procedure ensures that the data is securely transmitted to the server.

[0751] Step 3:

[0752] The server receives data sent from the terminal and stores it in the database. The input is encrypted data received from the terminal, and the output is a record stored in the database in an organized format. Specifically, it performs operations to organize the data by adding time information.

[0753] Step 4:

[0754] The server analyzes the stored data using a generative AI model. The input is physiological data obtained from a database, and the output is an evaluation of the user's health status. In this step, data analysis is performed using the Python TensorFlow library to specifically detect anomalies and analyze trends.

[0755] Step 5:

[0756] The server generates a personalized health promotion plan based on the analysis results. The input is the user's health assessment results, and the output is a personalized health promotion plan. Using a generative AI model, the plan is created to include clear advice, such as "recommended to do light exercise three times a week."

[0757] Step 6:

[0758] The device notifies the user of a health promotion plan sent from the server. The input is the plan data received from the server, and the output is the notification on the user's device. Specific actions include displaying the plan through a smartphone app or having a voice assistant provide verbal advice.

[0759] Step 7:

[0760] Users input feedback on the results and impressions based on the health promotion plan they have implemented. The input is feedback information after the plan has been completed, and the output is data sent to the server for improvement. Users perform specific actions to provide information using a terminal, such as touch input or voice input.

[0761] Step 8:

[0762] The server updates the health promotion plan based on user feedback. The input is feedback data, and the output is the improved health promotion plan. A generative AI model is used to analyze the feedback and incorporate it into future plans.

[0763] (Application Example 1)

[0764] 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".

[0765] For elderly people to live safely and securely at home, it is necessary to constantly monitor their health and respond quickly when abnormalities occur. However, conventional health management systems are insufficient in real-time status monitoring and providing appropriate health promotion methods, and furthermore, they lack means of notifying users in an easy-to-understand manner. In addition, there is a need for appropriate feedback in response to changes in the user's health condition and an emergency response system. This invention aims to solve these problems.

[0766] 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.

[0767] In this invention, the server includes means for having multiple devices for collecting the user's biometric data, means for transmitting and storing the collected information on a remote infrastructure, and means for notifying the user in real time through sight and hearing of the generated health promotion procedures. This makes it possible to continuously monitor the user's health status and provide personalized health promotion procedures.

[0768] A "user" is an individual who uses the system and receives notifications regarding health monitoring and health promotion procedures.

[0769] "Biometric data" refers to data that indicates a user's health status, such as heart rate, blood pressure, body temperature, activity level, and sleep quality.

[0770] "Device" refers to sensors and communication equipment capable of collecting and transmitting a user's biometric data.

[0771] "Information" refers to all data necessary for user health management, including the biometric data mentioned above.

[0772] A "remote infrastructure" is a system that utilizes cloud computing technology to store and manage data via the internet.

[0773] A "health promotion procedure" is a series of steps aimed at health management, such as dietary improvements and exercise advice, which are suggested to each individual user based on the collected data.

[0774] "Visual and auditory" notifications are methods of notifying users using displays and audio output to make it easier for them to receive information in real time.

[0775] "Real-time notification" refers to a system that immediately transmits information to the user the moment it occurs.

[0776] The system implementing this invention utilizes a user-worn device such as a smartwatch or smart glasses. The device is equipped with multiple sensors for collecting biometric data, including heart rate, blood pressure, body temperature, activity level, and sleep quality, all of which are collected in real time. The collected data is transmitted from the device to a cloud infrastructure via the user's smartphone. This cloud infrastructure includes a database utilizing encryption technology for secure data storage.

[0777] The server uses generative AI to analyze biometric data stored on the cloud infrastructure. The analysis utilizes AI frameworks such as TensorFlow to evaluate the user's health status, including historical data. This allows for early detection of changes in the user's health status and the immediate generation of personalized health promotion procedures when abnormalities occur. These generated health promotion procedures are communicated in real-time via visual and auditory means through the user's smart glasses.

[0778] User feedback is sent from the smartwatch device to the server via the cloud, and the generating AI learns from this new information to dynamically adjust health promotion procedures. This makes it possible to provide more accurate and personalized healthcare services.

[0779] As a concrete example, consider a situation in a household with an elderly person going about their daily life where their heart rate becomes abnormally high. In this case, the smartwatch detects the anomaly and immediately sends the data to the cloud. In the cloud, AI analyzes the level of risk and notifies the smart glasses with advice such as, "Please stay calm and take deep breaths." In this way, the user receives quick and clear instructions. An example of a prompt sentence to be input into the generating AI model is, "Generate the optimal health promotion procedure based on the current health status and past trends."

[0780] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0781] Step 1:

[0782] The device collects the user's biometric data. Specifically, sensors built into the device continuously measure heart rate, blood pressure, body temperature, activity level, sleep quality, and other parameters. The data obtained becomes input and is temporarily stored within the device.

[0783] Step 2:

[0784] The device transmits the collected biometric data to the cloud infrastructure via a smartphone. To ensure security during data transmission, the data is encrypted and converted to a format suitable for cloud storage. This converted data is the output.

[0785] Step 3:

[0786] The server retrieves and analyzes data stored on the cloud infrastructure. The data is used as input, and a generative AI model utilizing TensorFlow compares it with historical data to detect anomalies and assess health risks. The analysis results output an evaluation of the user's health status.

[0787] Step 4:

[0788] The server generates optimal health promotion procedures based on the analysis results. Using the prompt "Generate optimal health promotion procedures based on current health status and past trends," the generating AI constructs procedures including diet and exercise plans. These procedures are then output.

[0789] Step 5:

[0790] The server sends the generated health promotion instructions to the device. The device displays the instructions on smart glasses and notifies the user audibly as needed. Thus, the generated instructions are output both visually and audibly.

[0791] Step 6:

[0792] Users follow the provided health promotion procedures and implement them in their daily lives. They input the results and their impressions as feedback into the device. This feedback is then sent to the server as new data in the next stage.

[0793] Step 7:

[0794] The server receives feedback from users, and the generating AI analyzes this feedback to improve the procedures. The feedback becomes input, the health promotion procedures are adjusted, and these adjustments are reflected in the generation of procedures in the future.

[0795] 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.

[0796] This invention relates to a comprehensive health management system that utilizes data related to a user's health and emotions. The system operates by combining sensors for monitoring the user's health data with an emotion engine for analyzing emotions. The specific operation of the system is described below.

[0797] The device is equipped with multiple sensors to collect biometric information such as the user's heart rate, body temperature, blood pressure, activity level, and sleep quality. This sensor data is updated in real time and serves as foundational data for understanding the user's health status. In addition, the emotion engine analyzes the user's voice tone and facial expression data to evaluate their emotional state in real time.

[0798] This data is transmitted via the device to a cloud-based server. The data is encrypted, transmitted to the server via a secure communication channel, and stored in a database. The stored health and emotional data are then comprehensively analyzed by a generative AI system.

[0799] The server uses generative AI to comprehensively assess the user's health status and generate a health promotion program. Leveraging insights from emotional data, it creates a program that also considers the user's mental health. This program includes specific advice on diet, exercise, and mental care. For example, if the user experiences significant emotional fluctuations, it might recommend activities that promote relaxation.

[0800] The device receives health promotion programs sent from the server and notifies the user. These notifications are delivered using on-screen displays and audio to aid user understanding. This helps users become more aware of their health status and encourages them to take appropriate actions.

[0801] By providing feedback on the results of following the program, the system obtains additional data to be used for analysis in the next cycle. This feedback includes reports on the program's implementation, improvements made, and difficulties encountered. The terminal sends this information to the server, which is then used to refine the user's next program.

[0802] For example, if a user experiences stress during a particular activity, the emotion engine detects this and sends the analysis results along with the user's increased heart rate. The server then generates a new health promotion program to reduce stress and suggests yoga exercises to help the user relax.

[0803] Thus, the present invention provides comprehensive support for the physical and mental health of the elderly and enables appropriate responses to individual needs.

[0804] The following describes the processing flow.

[0805] Step 1:

[0806] The device uses multiple sensors to collect health data such as the user's heart rate, body temperature, blood pressure, and activity level. Additionally, an emotion engine detects the user's voice tone and facial expressions to collect emotional data.

[0807] Step 2:

[0808] The device temporarily stores the collected health and emotional data, and then securely transmits it to the server via a cloud infrastructure.

[0809] Step 3:

[0810] The server receives data sent from the terminal and securely records it in the database. It verifies the integrity of the data and makes corrections as needed if there are any inconsistencies.

[0811] Step 4:

[0812] The server uses a generative AI engine to comprehensively analyze the received health and emotional data. The analysis assesses not only the health status but also the impact of emotional changes on health.

[0813] Step 5:

[0814] Based on the analysis results, the server generates a personalized health promotion program that addresses the user's health and emotional state. For example, if a high stress level is detected, a program incorporating relaxation sessions will be set up.

[0815] Step 6:

[0816] The server sends the generated health promotion program to the terminal, ensuring that the user receives notifications at the appropriate time.

[0817] Step 7:

[0818] The device notifies the user of health promotion programs. Notifications are made using visual displays and auditory alerts to help the user understand and participate in the programs.

[0819] Step 8:

[0820] Users adjust their daily activities based on programs provided by the device and input the results and their impressions as feedback into the device.

[0821] Step 9:

[0822] The device collects user feedback, formats it efficiently, and sends it to the server.

[0823] Step 10:

[0824] The server analyzes the feedback received from the terminal and, if necessary, improves the health promotion program provided in the next cycle, thereby increasing its accuracy. Through this cycle, the system continuously provides support tailored to the user's health and emotional state.

[0825] (Example 2)

[0826] 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".

[0827] In modern society, personal health management is becoming an increasingly important issue. In particular, there is a demand for comprehensive health management that includes not only physical health but also mental health. However, conventional systems lacked the means to efficiently integrate users' health and emotional data and provide individually optimized health promotion programs. Furthermore, the lack of a well-established mechanism for appropriately incorporating the feedback received into subsequent programs made it difficult to provide health management that met the actual needs of users.

[0828] 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.

[0829] In this invention, the server includes means for securely transmitting and storing the user's physical and emotional information on a remote information processing platform, means for comprehensively analyzing the stored information using a generating AI to evaluate the user's health and emotional state, and means for generating a health promotion program that takes mental health into consideration based on the evaluation results. This enables a comprehensive understanding of the user's physical and mental health, and allows for personalized and appropriately adjusted health management.

[0830] A "user" refers to an individual who uses a health management system, and the information obtained from their physical and emotional state is the subject of analysis.

[0831] "Physical information" refers to data related to the user's physiological state, such as heart rate, body temperature, blood pressure, activity level, and sleep quality.

[0832] "Emotional information" refers to data that indicates the user's emotional state, obtained from their voice tone and facial expressions.

[0833] A "measuring device" is a hardware device used to acquire physical and emotional information, and includes heart rate monitors and temperature sensors.

[0834] "Secure transmission" means communicating data while ensuring security, and it is a process that uses encryption technology to prevent unauthorized access.

[0835] A "remote information processing infrastructure" refers to a remote system or cloud environment for storing and processing data via the internet or other means.

[0836] "Generative AI" refers to artificial intelligence technology that analyzes data to make meaningful evaluations and suggestions, and includes natural language processing and machine learning algorithms.

[0837] A "health promotion program" refers to a plan that compiles guidelines and advice provided to maintain and improve the physical and mental health of users.

[0838] A "display device" is a display device used to convey information to a user, and includes smartphones and tablets.

[0839] "Feedback" refers to evaluations and opinions that users convey regarding the results and impressions of their program implementation, and this information is used by the system in the next cycle.

[0840] A "warning state" refers to a situation in which an unusual fluctuation is observed in the user's physical or emotional state, requiring attention or intervention.

[0841] This invention provides a comprehensive health management system that utilizes the user's physical and emotional information. The terminal uses multiple measuring devices to monitor the user's heart rate, body temperature, blood pressure, activity level, sleep quality, etc. These measuring devices include wearable devices, such as a device for measuring heart rate and a sensor for sensing the user's body temperature. Furthermore, the terminal is equipped with a voice input device and a video input device to acquire the user's voice tone and facial expressions, and to collect emotional information.

[0842] The collected physical and emotional information is encrypted and securely transmitted to a server on a cloud infrastructure. The server receives this information and stores it in a database. TLS / SSL is used as the secure communication protocol. On the server, a generative AI model is used to comprehensively analyze the user's health and emotional state based on the stored information. Natural language processing techniques and machine learning algorithms are used for the analysis to evaluate the user's stress level and overall health trends.

[0843] Based on the analysis results, the server generates a health promotion program. Prompts generated using the AI ​​model might include phrases like, "If the user is assessed as prone to stress, create a program to reduce stress." This program includes activities that contribute to both physical and mental health, such as specific suggestions for daily exercise and meditation.

[0844] The generated health promotion program is sent to the device and the user is notified. The device uses a display and voice guidance to clearly explain the program details to the user. For example, a reminder for a scheduled yoga session is displayed on the device screen, and a voice assistant explains the content of the next exercise.

[0845] After the user runs the program, feedback is collected and sent to the server via the terminal. The server can analyze the feedback and use it to improve the health promotion program in the next cycle. This allows the user to enjoy health management optimized for their specific needs.

[0846] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0847] Step 1:

[0848] The device collects the user's physical and emotional information through measuring devices. Input data includes heart rate, body temperature, blood pressure, activity level, and sleep quality, supplemented by emotional information such as voice tone and facial expressions. To acquire this data, the device utilizes sensors, microphones, and cameras to capture data in real time. The output is a compilation of these datasets.

[0849] Step 2:

[0850] The device encrypts the collected data and sends it to a server on the cloud infrastructure. The input data consists of user information collected from sensors, microphones, and cameras, and is encrypted using TLS / SSL before transmission. The output is securely protected communication data. This process involves the specific operation of sending data to the server using wireless communication technology.

[0851] Step 3:

[0852] The server stores the received data in a database. The input is encrypted data sent from the terminal, and the server decrypts it and stores it in the database, thus organizing the data. The output is structured and stored user information. At this stage, a SQL database or similar is used to maintain the data in a manageable format.

[0853] Step 4:

[0854] The server uses a generative AI model to analyze stored data. The input consists of biometric and emotional information stored in a database. The server inputs this data into the generative AI model, performing data calculations to analyze health status and emotional trends. The output is a health status assessment report for the user. This analysis utilizes data modeling based on machine learning algorithms.

[0855] Step 5:

[0856] The server generates a health promotion program based on the analysis results. The input is a health status assessment report, and the program is constructed using prompts generated by a generation AI model. An example of a prompt is, "Create a new exercise program to reduce stress." The output is a health promotion program optimized for each user.

[0857] Step 6:

[0858] The terminal notifies the user of health promotion programs received from the server. The input is the health promotion program data sent from the server, and the terminal uses its notification function to communicate this to the user via screen display and audio. The output is an executable program notification provided to the user. Specifically, the terminal issues an alert and displays it as a schedule reminder.

[0859] Step 7:

[0860] Users follow a health promotion program and input the results as feedback into a terminal. This input, which is feedback information regarding the program's performance, is sent from the terminal to a server. The output is used as user feedback data for the next analysis cycle. This process can utilize questionnaire-style forms or voice input.

[0861] (Application Example 2)

[0862] 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".

[0863] It is difficult to comprehensively manage the physical and mental health of the elderly and those receiving care, and to provide effective, prompt, and appropriate care. Furthermore, there is a lack of effective means for caregivers to obtain relevant information in real time and respond immediately.

[0864] 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.

[0865] In this invention, the server includes means for collecting biometric and emotional information, means for storing that information in the cloud, and means for evaluating health and emotional states based on that information. This makes it possible to generate personalized health promotion plans in real time and notify caregivers.

[0866] A "user" is an individual who uses a health management system and provides data related to their health and emotions.

[0867] "Biometric information" refers to data that indicates the user's physical condition, such as heart rate, body temperature, blood pressure, activity level, and sleep quality.

[0868] "Emotional information" refers to data that indicates the user's emotional state, analyzed from sources such as voice tone and facial expression data.

[0869] A "detection device" is a device such as a sensor or camera used to collect a user's biometric and emotional information.

[0870] A "cloud infrastructure" is a server environment for storing, managing, and analyzing data via the internet.

[0871] "Generative AI" is an artificial intelligence technology that evaluates health and emotional states based on collected information and generates personalized health promotion plans.

[0872] A "health promotion plan" is a plan that includes specific guidelines and activity suggestions aimed at improving and maintaining the health and emotional state of each individual user.

[0873] A "display device" is a device used to visually or audibly communicate a generated health promotion plan to caregivers or users.

[0874] "Feedback" refers to information such as evaluations, results, and requests that users provide regarding the implementation of a health promotion plan.

[0875] "Optimization" is the process of adjusting health promotion plans to suit the individual needs and circumstances of users, based on feedback.

[0876] The system implementing this invention has the function of collecting the user's biometric and emotional information using a detection device, and transmitting and storing this information on a server using a cloud infrastructure. The server encrypts and securely manages the biometric and emotional information. This information is analyzed by a generating AI to comprehensively evaluate the user's health and emotional state.

[0877] Based on the evaluation results, the server generates a personalized health promotion plan. This plan takes into account the user's current physical condition and emotions, and includes suggestions for optimal diet, exercise, and mental care. For example, for users with significant emotional fluctuations, activities to promote relaxation can be suggested. The generated health promotion plan is communicated to caregivers in visual or auditory form through a display device worn by the caregiver. User feedback is also input into the system, and the server analyzes this feedback information to optimize the health promotion plan.

[0878] For example, if an elderly resident in a care facility is experiencing stress, the AI ​​can detect this, and the server can notify a display device with suggestions for relaxation music or simple yoga exercises. Furthermore, in emergencies, data can be directly shared with medical professionals to support a rapid initial response. This allows for the provision of appropriate care tailored to individual needs while ensuring the safety of the elderly.

[0879] Examples of prompt messages include, "Please suggest the most suitable relaxation activity when an elderly person's heart rate suddenly increases." Thus, the present invention provides a useful means of health management for both users and caregivers, particularly when used in nursing care facilities.

[0880] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0881] Step 1:

[0882] The terminal uses detection devices to collect the user's biometric information (heart rate, body temperature, blood pressure, etc.) and emotional information (voice tone, facial expression data, etc.). Input is various sensor data, and output is a set of collected biometric and emotional information. This data is updated in real time and formatted as initial processing.

[0883] Step 2:

[0884] The device encrypts the collected biometric and emotional information and sends it to a cloud-based server. The input is the set of collected information, and the output is the data stored in the cloud. To ensure data security in this step, encryption algorithms are used to protect the data.

[0885] Step 3:

[0886] The server retrieves data stored in the cloud and uses a generative AI model to comprehensively evaluate the user's health and emotional state. The input is biometric and emotional information obtained from the cloud infrastructure, and the output is the evaluation result of the user's health and emotional state. Here, the data is analyzed, and feature extraction and pattern recognition are performed.

[0887] Step 4:

[0888] The server generates a personalized health promotion plan using generative AI based on the evaluation results. The input is the evaluation results, and the output is the health promotion plan. This process automatically generates suggestions for diet, exercise, and mental care. The suggestions are structured as prompt messages.

[0889] Step 5:

[0890] The server notifies the terminal of the generated health promotion plan, which then communicates it to the caregiver or user visually or audibly through its display device. The input is the health promotion plan, and the output is the notification to the user via the terminal's display or speaker. This allows the user or caregiver to check the suggestions in real time.

[0891] Step 6:

[0892] Users execute the notified health promotion plan and input feedback to the server via their device. Input consists of feedback information such as execution results and impressions, while output is an update of the feedback data to the cloud. This feedback information is used to refine the plan in the next cycle.

[0893] Step 7:

[0894] The server analyzes the received feedback and makes adjustments to optimize the health promotion plan. The input is feedback information, and the output is the adjusted plan. New insights gained from the feedback are used to update the plan using the generative AI again. This step improves the effectiveness of subsequent programs.

[0895] 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.

[0896] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One 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.

[0897] 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.

[0898] 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.

[0899] 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.

[0900] 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.

[0901] 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.

[0902] 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.

[0903] 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."

[0904] 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.

[0905] 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.

[0906] 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.

[0907] 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.

[0908] 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.

[0909] 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.

[0910] 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.

[0911] 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.

[0912] 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.

[0913] 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.

[0914] 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.

[0915] 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.

[0916] The following is further disclosed regarding the embodiments described above.

[0917] (Claim 1)

[0918] It includes multiple sensors for collecting user health data, and means for collecting said data,

[0919] A means of transmitting the collected data and storing it on a cloud platform,

[0920] A means of analyzing stored data using generative AI and evaluating health status,

[0921] A means for generating a health promotion program based on evaluation results,

[0922] A means of notifying the user of the generated health promotion program,

[0923] A system that includes this.

[0924] (Claim 2)

[0925] The system according to claim 1, further comprising means for analyzing user feedback and adjusting the health promotion program.

[0926] (Claim 3)

[0927] The system according to claim 1, characterized in that it has means of sharing data with medical professionals and supporting first aid in an emergency.

[0928] "Example 1"

[0929] (Claim 1)

[0930] The system includes multiple measuring devices for collecting user physiological data, and means for acquiring said data.

[0931] A means for transmitting and storing acquired data in a storage device using wireless communication,

[0932] A means of analyzing stored data and evaluating health status using generated artificial intelligence,

[0933] A means for generating an individualized health promotion plan based on evaluation results,

[0934] A means of communicating the generated health promotion plan to the user,

[0935] A system that includes this.

[0936] (Claim 2)

[0937] The system according to claim 1, characterized by comprising means for analyzing responses received from users and updating the health promotion plan.

[0938] (Claim 3)

[0939] The system according to claim 1, characterized in that it has means of sharing information with medical personnel and supporting initial response in an emergency.

[0940] "Application Example 1"

[0941] (Claim 1)

[0942] The system includes multiple devices for collecting user biometric data, and means for collecting said data.

[0943] Means for transmitting the collected information and storing it on a remote base,

[0944] A means of using artificial intelligence to analyze stored information and evaluate health status,

[0945] A means for generating health promotion procedures based on evaluation results,

[0946] A means of informing the user of the generated health promotion procedures,

[0947] A means of displaying and notifying users of health promotion procedures in real time through their sight and hearing,

[0948] A system that includes this.

[0949] (Claim 2)

[0950] The system according to claim 1, further comprising means for analyzing user feedback and modifying the health promotion procedure.

[0951] (Claim 3)

[0952] The system according to claim 1, which includes means for sharing information with medical personnel and supporting initial response in an emergency.

[0953] "Example 2 of combining an emotion engine"

[0954] (Claim 1)

[0955] The system includes multiple measuring devices for collecting the user's physical and emotional information, and means for collecting such information.

[0956] Means for securely transmitting collected information and storing it on a remote information processing infrastructure,

[0957] A means of using generative AI to comprehensively analyze stored information and evaluate health and emotional states,

[0958] A means for generating a health promotion program that takes mental health into consideration based on evaluation results,

[0959] A means of notifying the user of the generated health promotion program via a display device,

[0960] A system that includes this.

[0961] (Claim 2)

[0962] The system according to claim 1, characterized by comprising means for collecting user feedback and refining the health promotion program.

[0963] (Claim 3)

[0964] The system according to claim 1, characterized in that it includes means for sharing information with medical professionals and supporting emergency response in a warning state.

[0965] "Application example 2 when combining with an emotional engine"

[0966] (Claim 1)

[0967] The system includes multiple detection devices for collecting user biometric and emotional information, and means for collecting such information.

[0968] A means of transmitting the collected information and storing it on a cloud platform,

[0969] A means of analyzing stored information using generative AI to evaluate health status and emotional state,

[0970] A means for generating an individualized health promotion plan based on evaluation results,

[0971] A means of notifying caregivers of the generated health promotion plan via a display device,

[0972] A system that includes this.

[0973] (Claim 2)

[0974] The system according to claim 1, characterized by comprising means for analyzing feedback received from users and optimizing the health promotion plan.

[0975] (Claim 3)

[0976] The system according to claim 1, characterized in that it has means of sharing information with medical professionals and supporting initial response in an emergency. [Explanation of Symbols]

[0977] 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

1. The system includes multiple devices for collecting user biometric data, and means for collecting said data. Means for transmitting the collected information and storing it on a remote base, A means of using artificial intelligence to analyze stored information and evaluate health status, A means for generating health promotion procedures based on evaluation results, A means of informing the user of the generated health promotion procedures, A means of displaying and notifying users of health promotion procedures in real time through their sight and hearing, A system that includes this.

2. The system according to claim 1, further comprising means for analyzing user feedback and modifying the health promotion procedure.

3. The system according to claim 1, which includes means for sharing information with medical personnel and supporting initial response in an emergency.

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