System

Abstract

A system is provided.SOLUTION: A system comprising: means for collecting health-related information input by a user; means for transmitting the collected information to a server; artificial intelligence means for analyzing the information stored in the server and generating a personalized health care plan; and means for providing the generated health care plan to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] In modern society, many people lead busy lives, making it difficult to manage their health individually. Furthermore, a one-size-fits-all health management plan cannot provide advice optimized for each individual's lifestyle and health condition. Therefore, there is a need for a method to easily achieve effective health management tailored to each individual user. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems by providing a system including means for collecting health-related information input by a user, means for transmitting the collected information to a server, artificial intelligence means for analyzing the information stored on the server and generating an individualized health management plan, and means for providing the generated health management plan to the user, thereby automatically generating and providing a fitness and nutrition plan optimized for each user's lifestyle and preferences.

[0006] "User" refers to an individual who uses the system and is provided with an individualized health care plan.

[0007] "Health-related information" refers to health-related data entered by the user, such as height, weight, age, gender, health goals, exercise habits, and dietary restrictions.

[0008] "Means for collecting" refers to the combination of hardware and software that allows a user to input health-related information and collect that information.

[0009] "Server" refers to a computer system for receiving, storing, and analyzing collected health-related information.

[0010] "Transmitting means" refers to a function for transmitting health-related information from a user terminal to a server.

[0011] "Artificial intelligence means" refers to machine learning models and algorithms used to analyze collected information and generate personalized health management plans.

[0012] "Health Management Plan" refers to a combination of fitness and nutrition plans generated based on a user's lifestyle and health status.

[0013] The "means for providing" refers to a function for transmitting the generated health management plan to the user's terminal and displaying it.

[0014] "Database" refers to an information management system for storing collected health-related information and making it available for reference as needed.

[0015] A "fitness plan" refers to a plan including the type, frequency, intensity, and duration of exercise suggested to a user.

[0016] "Nutrition plan" refers to a plan including meal content, calorie amount, nutrient balance, etc., suggested to a user. [Brief explanation of the drawings]

[0017] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0018] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0019] First, the terms used in the following description will be explained.

[0020] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0021] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0022] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0023] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0024] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 1, a 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.

[0028] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0029] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0030] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the 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.

[0031] 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 of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0032] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 2, in the data processing device 12, a specific process 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" according to the technology of the present 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 process 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.

[0035] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0036] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0037] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0038] The present invention relates to a system for generating and providing a personalized health management plan to a user. The system collects and analyzes health-related information entered by the user and provides fitness and nutrition plans based on the collected information.

[0039] System Overview

[0040] The system consists of the following main components: user terminal, server, database, and AI algorithm, each of which is explained in detail below.

[0041] User terminal

[0042] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The main roles of a user terminal are to:

[0043] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain, etc.).

[0044] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[0045] 3. Real-time tracking: Record and track the user's exercise and diet.

[0046] server

[0047] The server is the central component that receives and processes data sent from user devices. The server's responsibilities are as follows:

[0048] 1. Data collection and storage: Receive health-related information sent from user devices and store it in a database.

[0049] 2. Running AI algorithms: Run AI algorithms using the stored data to generate personalized health management plans.

[0050] 3. Plan distribution: The generated plan is sent to the user's device so that the user can view it within the app.

[0051] Database

[0052] The database is an information management system that securely stores users' health-related information and allows them to access and analyze it as needed.

[0053] AI algorithms

[0054] The AI ​​algorithm analyzes the collected data and generates a personalized fitness and nutrition plan for each user. The main responsibilities of the AI ​​algorithm are to:

[0055] 1. Data analysis: Analyze users' health information, lifestyle, and preferences to create basic data.

[0056] 2. Plan generation: Based on the analyzed data, the system generates optimal fitness and nutrition plans for each user.

[0057] 3. Incorporate feedback: Receive user feedback to refine and improve the plan.

[0058] Specific examples

[0059] Example of user A's use

[0060] 1. Initial Registration

[0061] User A installs the app, logs in, and then enters his or her profile information (e.g., height 170 cm, weight 65 kg, 32-year-old male).

[0062] 2. Goals and Lifestyle

[0063] Set your goal as "weight loss" and enter the fact that you have a sedentary job, that you jog twice a week, that you like Japanese food, and that you have no allergies.

[0064] 3. Data Transmission

[0065] The entered data is sent to the server and stored in the database.

[0066] 4. AI analysis

[0067] The server analyzes the data and generates an optimal fitness plan (e.g., 30 minutes of jogging three times a week) and nutrition plan (e.g., daily calorie limit of 1,200 kcal) for User A.

[0068] 5. Offering of Plans

[0069] The generated plan is sent to User A's device and displayed in the app.

[0070] 6. Execution and Recording

[0071] User A follows the proposed plan and records the results of their exercise and diet in the app. The recorded data is then sent back to the server and used as feedback to adjust the plan.

[0072] In this way, the system provides users with individually optimized health management plans, supporting efficient health management even in the midst of busy lifestyles.

[0073] The processing flow will be explained below.

[0074] Step 1: The user installs the app on a device such as a smartphone or tablet and launches it.

[0075] Step 2: The device displays a screen that prompts the user to enter basic health-related information such as name, age, gender, height, and weight.

[0076] Step 3: The user enters their health goals (e.g., weight loss, muscle building), exercise preferences, dietary restrictions, and allergy information.

[0077] Step 4: The terminal sends the input data, including the user's health and lifestyle information, to the server.

[0078] Step 5: The server stores the received data in a database for later analysis.

[0079] Step 6: The server's AI algorithm analyzes the user's information stored in the database and generates a fitness and nutrition plan optimized for the user's health, lifestyle, and goals.

[0080] Step 7: The server compiles the generated fitness plan and nutrition plan and sends them to the user terminal.

[0081] Step 8: The device displays the received plan in the app, allowing the user to confirm and implement it.

[0082] Step 9: The user follows the suggested fitness and dietary plan and records their results within the app.

[0083] Step 10: The device sends the recorded data back to the server, including the user's exercise results and dietary information.

[0084] Step 11: The server analyzes the received feedback data and uses AI algorithms to refine the plan and update it as needed.

[0085] Step 12: The server again transmits the updated plan to the user terminal, allowing the user to continue managing their health with the latest plan.

[0086] Example 1

[0087] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0088] Although there are many general health plans available in modern society, it is difficult to provide a plan optimized for each user's lifestyle and health condition. In addition, the lack of functionality to dynamically update plans based on user feedback makes it difficult to carry out long-term health management and efficient planning.

[0089] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0090] In this invention, the server includes means for collecting health-related information input by users, means for transmitting the collected information to the server, artificial intelligence means for analyzing the information stored in the server and generating an individual health management plan, means for providing the generated health management plan to the user, means for recording the health management results performed by the user, and means for transmitting the recorded results to the server and updating the plan based on feedback. This makes it possible to provide a plan optimized for each user's lifestyle and health condition and to dynamically update the plan based on user feedback.

[0091] "Health-related information entered by the user" refers to health-related information entered by the user through the device, such as their profile, physical data, health goals, lifestyle, dietary preferences and allergy information.

[0092] "Means for transmitting collected information to a server" refers to a function for transferring health-related information entered by a user into the device to a server via a network.

[0093] "Artificial intelligence means for analyzing information stored on the server and generating an individual health management plan" refers to the function of artificial intelligence that uses machine learning and data analysis techniques to create an optimized health management plan for each user based on user data stored on the server.

[0094] The "means for providing the generated health management plan to the user" refers to a function for transmitting the health management plan generated by the server to the user's device so that the user can view it.

[0095] "Means for recording the health management results performed by the user" refers to a function for recording on the device the results of the exercise and diet the user engaged in based on the proposed health management plan.

[0096] "Means of sending recorded results to a server and updating the plan based on feedback" refers to a function that sends the health management results recorded by the user to a server, and the AI ​​analyzes the feedback and dynamically updates the health management plan.

[0097] "Means for storing in a database" refers to the function that enables the server to safely store the received user data for a long period of time and to make it accessible as needed.

[0098] This invention relates to a system for individually optimizing a user's health management. Specifically, a system is constructed that collects and analyzes health-related information entered by the user and provides fitness and nutrition plans based on that information. The overall configuration and operation of the system are described below.

[0099] System configuration

[0100] The system consists of the following main components:

[0101] 1. User Device

[0102] 2. Server

[0103] 3. Database

[0104] 4. AI Algorithms

[0105] 1. User Device

[0106] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The main functions of a user terminal are as follows:

[0107] Entering user information

[0108] Users enter profile information into the device, such as their name, age, height, weight, and health goals, as well as information about their lifestyle, dietary preferences, and allergies.

[0109] Real-time Tracking

[0110] It provides the ability to record the fitness activities and food intake of users and collect data.

[0111] 2. Server

[0112] The server is the central component that receives and processes data sent from user devices. The server's responsibilities are as follows:

[0113] Data collection and storage

[0114] Health-related information sent from the user terminal is received and stored in a database.

[0115] Running AI algorithms

[0116] The stored data is used to run AI algorithms to generate a personalized health management plan.

[0117] Plan Delivery

[0118] The generated plan is sent to the user's device so that the user can view it within the app.

[0119] Receiving and incorporating feedback

[0120] The results of the user's fitness and dietary activities are received again, and the data is analyzed to update the plan.

[0121] 3. Database

[0122] The database is an information management system that safely stores users' health-related information and accesses and analyzes it as needed. The server stores and retrieves user data through the database and uses it for analysis.

[0123] 4. AI Algorithms

[0124] The AI ​​algorithm analyzes the collected data and generates a personalized fitness and nutrition plan for each user. The main functions of the AI ​​algorithm are:

[0125] Data analysis

[0126] Analyze users' health information, lifestyle, and preferences to create basic data.

[0127] Plan Generation

[0128] Based on the analyzed data, an optimal fitness and nutrition plan is generated for each user.

[0129] Reflecting feedback

[0130] Receive user feedback to refine and improve your plans.

[0131] Specific examples of operation

[0132] Example of user A's use

[0133] 1. Initial Registration

[0134] User A installs the app and creates an account by entering their email address and password. The registration information is sent to the server and stored in the database.

[0135] 2. Enter user information

[0136] User A enters into the app that he is a 32-year-old male, 170 cm tall and weighing 65 kg, and that he is aiming to lose weight. He also enters that he has a mostly sedentary job, jogs twice a week, likes Japanese food, and has no allergies. The data is sent to the server and stored in the database.

[0137] 3. Data analysis and health plan generation

[0138] The server retrieves User A's information from the database and inputs it into an AI algorithm. The AI ​​then generates an optimal fitness plan (e.g., 30 minutes of jogging three times a week) and nutrition plan (e.g., daily calorie limit of 1,200 kcal) for User A.

[0139] 4. Providing health plans

[0140] The generated plan is sent from the server to User A's device and displayed in the app. User A checks the plan and acts according to their fitness and nutrition goals.

[0141] 5. Execution and Recording of Results

[0142] User A jogs according to the proposed plan and records the results in the app, for example, by entering the jogging distance, time, calories burned, and food intake.

[0143] 6. Incorporating feedback

[0144] The recorded data is sent to a server, where an AI algorithm analyzes the data and updates the plan. For example, if User A wants to increase their jogging, a new plan will be proposed. This allows for more effective health management.

[0145] Prompt Sentence Examples

[0146] Here are some example prompts for a generative AI model:

[0147] "I'm a 32-year-old man, 170 cm tall and 65 kg. I want to lose weight. I have a sedentary job and jog twice a week. I like Japanese food and have no allergies. Can you recommend a fitness and nutrition plan that's right for me?"

[0148] In this way, the system provides users with individually optimized health management plans, supporting efficient health management even in the midst of busy lifestyles.

[0149] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0150] Step 1:

[0151] User Registration

[0152] How it works:

[0153] The first time a user uses the app, they create an account.

[0154] Input: Email address, password, basic profile information

[0155] Output: The user's account information is saved on the server.

[0156] Example: A user enters an email address and password to create an account. The server receives the information and stores it in a database.

[0157] Step 2:

[0158] Enter user information

[0159] How it works:

[0160] A user enters detailed health-related and lifestyle information into a terminal.

[0161] Input: Height, weight, age, gender, health goals, lifestyle, food preferences, allergy information

[0162] Output: The user's detailed health-related information is sent to the server and stored in a database.

[0163] Example: A user enters into the app that he is a 32-year-old male, 170 cm tall, weighs 65 kg, and has a goal of losing weight, and sends this information to the server.

[0164] Step 3:

[0165] Data collection and storage

[0166] How it works:

[0167] The server receives the user information sent from the terminal and stores it in a database.

[0168] Input: Health-related information received by the server from the device

[0169] Output: User information is saved in the database.

[0170] Example: The server receives data from the device, such as the user's height, weight, and health goals, and stores it in a database.

[0171] Step 4:

[0172] Data analysis and health plan generation

[0173] How it works:

[0174] The server retrieves user information from a database and uses AI algorithms to generate an individualized health management plan.

[0175] Input: User information stored in the database

[0176] Output: A personalized health plan

[0177] Example: The server inputs the user's data into an AI algorithm and generates a plan that includes jogging for 30 minutes three times a week and a daily calorie limit of 1,200 kcal.

[0178] Step 5:

[0179] Health plan offerings

[0180] How it works:

[0181] The server sends the generated health management plan to the user's device, where it can be viewed within the app.

[0182] Input: Generated health care plan

[0183] Output: Health plan sent to user's device

[0184] Example: The server sends the generated plan to the user's device, and the user opens the app to view the plan.

[0185] Step 6:

[0186] Execution and result recording

[0187] How it works:

[0188] Users implement the proposed plan and record the results within the app.

[0189] Input: Results of the user's health management (exercise, diet)

[0190] Output: Recorded data is sent to the server

[0191] Example: A user goes jogging and enters the distance, time, calories burned, and food intake into the app, which then sends the data to the server.

[0192] Step 7:

[0193] Receiving and incorporating feedback

[0194] How it works:

[0195] The server receives the data recorded by the user and updates the health management plan using AI algorithms.

[0196] Input: User-recorded health care results

[0197] Output: Updated health plan

[0198] Example: The server analyzes the user's data and suggests a new plan based on the information that will help the user to jog more, thereby enabling the user to manage their health more effectively.

[0199] (Application example 1)

[0200] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0201] In today's busy lifestyles, it is important to provide optimal health management plans for individual users. However, existing healthcare systems lack the functionality to not only generate personalized health plans, but also recommend related health products (such as supplements, health foods, and fitness equipment) and allow users to easily purchase them. As a result, users have difficulty obtaining the resources to take actual action based on the optimal plan. This may reduce the effectiveness of users' health improvements.

[0202] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0203] In this invention, the server includes means for collecting health-related information input by a user, means for transmitting the collected information to the server, artificial intelligence means for analyzing the information stored in the server and generating an individual health management plan, means for suggesting related products based on the generated health management plan, and means for enabling the user to purchase the suggested related products. This allows the user not only to receive an individual health management plan but also to easily purchase health products based on it.

[0204] "Health-related information" refers to information such as the user's weight, height, age, sex, health goals, lifestyle, and dietary restrictions.

[0205] A "server" is a computer system that receives, stores, and analyzes data sent from user terminals.

[0206] "Artificial intelligence means" is the collection of algorithms and software used to analyze collected data and generate a personalized health care plan.

[0207] "Suggesting related products" refers to recommending products (such as supplements, health foods, and fitness equipment) that will help the user achieve their health goals based on the generated health management plan.

[0208] "Purchase means" refers to an interface and functionality that allows a user to directly purchase suggested related products.

[0209] A "database" is a system for centrally managing and safely storing users' health-related information stored on a server.

[0210] A "fitness plan" is a specific exercise plan that instructs the user to achieve their health goals.

[0211] A "nutrition plan" is a specific dietary instruction for achieving a user's health goals.

[0212] In accordance with the present invention, a system for providing an individualized health care plan is implemented as follows.

[0213] System Configuration

[0214] User terminal

[0215] The user terminal is a device such as a smartphone or tablet. This terminal has the following main functions:

[0216] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain, etc.).

[0217] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[0218] 3. Real-time tracking: Record and track the user's exercise and diet.

[0219] server

[0220] The server is the central component that receives and processes data sent from user terminals. This server has the following functions:

[0221] 1. Data collection and storage: Receive health-related information sent from the user device and store it in a database.

[0222] 2. Running AI algorithms: The collected data is used to run AI algorithms to generate personalized health management plans.

[0223] 3. Plan distribution: The generated health management plan is sent to the user's device so that the user can view it within the app.

[0224] 4. Suggesting related products: Based on the generated plan, a list of related products suitable for the user is generated and suggested.

[0225] 5. Help to buy: Allow users to directly purchase suggested related products.

[0226] Database

[0227] The database is an information management system that securely stores users' health-related information and allows them to access and analyze it as needed.

[0228] Hardware and Software Used

[0229] Frontend: React Native, Expo

[0230] Backend: Node.js, Express.js

[0231] Database: MongoDB

[0232] AI algorithms: Python, TensorFlow or PyTorch

[0233] API communication: RESTful API

[0234] Program processing explanation

[0235] The server receives health-related information sent from the user's device and stores it in a database. The stored information is analyzed by an AI algorithm to generate an individual health management plan. The generated plan is sent to the user's device and displayed within the application. At the same time, related health products are suggested based on the generated plan. The user can view and purchase these suggested products within the application.

[0236] Specific examples (prompt sentence examples)

[0237] If a user sets a goal of "I want to lose 10 kg" and selects "jogging once a week" as lifestyle information, the AI ​​model will use past data to generate a fitness plan tailored to the user (jogging and strength training three times a week, Monday, Wednesday, and Friday), and provide a tailored nutrition plan (1800 kcal a day and specific supplements). Related products will also be suggested.

[0238] Example prompts to be input to the generative AI model:

[0239] User Information:

[0240] Age: 35

[0241] Gender: Male

[0242] Weight: 85kg

[0243] Height: 175cm

[0244] Health goal: Lose 10kg

[0245] Lifestyle: Jogging once a week

[0246] Dietary restrictions: None

[0247] Based on this information, the AI ​​generates optimal fitness and nutrition plans for users and suggests related products.

[0248] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0249] Step 1: Enter your user information

[0250] Users use devices such as smartphones or tablets to input their name, age, height, weight, and health goals (e.g., weight loss, muscle building, etc.). They also enter information about their lifestyle, dietary restrictions, and allergies in a questionnaire format. The input data is collected by the device.

[0251] Input: Name, age, height, weight, health goals, lifestyle, dietary restrictions, allergy information

[0252] Output: Generate user profile data

[0253] Step 2: Sending data

[0254] The terminal sends the collected user input data to the server, which receives the data and stores it in a database.

[0255] Input: User profile data

[0256] Output: Send data to server, save to database

[0257] Step 3: Save your data

[0258] The server stores user profile data in a database, which is used for further analysis.

[0259] Input: User profile data

[0260] Output: Save data to database

[0261] Step 4: Data analysis

[0262] The server retrieves the user profile data stored in the database and analyzes it using AI algorithms, which then generates a personalized health management plan (fitness plan and nutrition plan).

[0263] Input: User profile data

[0264] Output: Generate an individualized health care plan

[0265] Step 5: Deploy the plan

[0266] The server sends the generated health management plan to the user's device, where it is displayed in an application on the device. The user can then check their own health management plan.

[0267] Enter: Individual Health Care Plan

[0268] Output: Plan delivery to user device, display within app

[0269] Step 6: Suggest related products

[0270] The server generates a list of related products suitable for the user based on the generated health management plan, and transmits this list back to the user terminal.

[0271] Enter: Individual Health Care Plan

[0272] Output: Generate and deliver a list of related products

[0273] Step 7: Purchase

[0274] The user checks the related products suggested within the application and completes the purchase. The device then sends the purchase information to the server, completing the purchase.

[0275] Input: List of related products

[0276] Output: User completes purchase and sends purchase information

[0277] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0278] This invention is a system that generates and provides individualized health management plans to users, and further combines an emotion engine to provide optimal plans that take into account the user's emotional state. This system collects and analyzes health-related information entered by the user, and provides fitness and nutrition plans based on that information.

[0279] System Overview

[0280] The system consists of the following main components: user terminal, server, database, AI algorithm, and emotion engine. Each of these is explained in detail below.

[0281] User terminal

[0282] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The main roles of a user terminal are to:

[0283] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain, etc.).

[0284] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[0285] 3. Real-time tracking: Record and track the user's exercise and diet.

[0286] 4. Emotional state input: The user inputs their current emotion (e.g., stress, fatigue, happiness, etc.).

[0287] server

[0288] The server is the central component that receives and processes data sent from user devices. The server's responsibilities are as follows:

[0289] 1. Data collection and storage: Health-related information and emotion data sent from the user device are received and stored in a database.

[0290] 2. Execution of AI algorithms and emotion engines: The stored data is used to execute AI algorithms and emotion engines to generate personalized health management plans.

[0291] 3. Plan distribution: The generated plan is sent to the user's device so that the user can view it within the app.

[0292] Database

[0293] The database is an information management system that securely stores users' health-related and emotional data and allows them to access and analyze them as needed.

[0294] AI algorithms and emotion engines

[0295] The AI ​​algorithm analyzes the collected data and generates personalized fitness and nutrition plans for each user, while the emotion engine analyzes the user's emotional state and adjusts the plan accordingly. The main roles of each component are as follows:

[0296] 1. Data analysis: Analyze the user's health information, lifestyle, preferences, and emotional state to create basic data.

[0297] 2. Generate fitness and nutrition plans: Based on the analyzed data, generate optimal fitness and nutrition plans for each user.

[0298] 3. Reflecting emotional state: The emotional engine adjusts the plan based on the identified emotional state to provide advice that best suits the user's current situation.

[0299] Specific examples

[0300] Example of User B's use

[0301] 1. Initial Registration

[0302] User B installs the app, logs in, and then enters her profile information (e.g., height 165 cm, weight 60 kg, 28-year-old female).

[0303] 2. Goals and Lifestyle

[0304] Set your goal as "building muscle" and enter the following information: you do a lot of desk work on a daily basis, you go to the gym three times a week, you like Japanese food, and you have a dairy allergy.

[0305] 3. Input of emotional state

[0306] User B inputs "stress" as his current emotional state.

[0307] 4. Data Transmission

[0308] The entered data is sent to the server and stored in the database.

[0309] 5. AI analysis and sentiment analysis

[0310] The server analyzes the data and generates a fitness plan (e.g., strength training three times a week, stretching daily) and nutrition plan (e.g., high-protein diet, low-dairy) that are optimal for User B. The emotion engine takes stress levels into account and adds exercises that promote relaxation (e.g., yoga and meditation) to the plan.

[0311] 6. Offering of Plans

[0312] The generated plan is sent to User B's device and displayed in the app.

[0313] 7. Execution and Recording

[0314] User B follows the proposed plan and records the results of the exercise and diet in the app. The recorded data is then sent back to the server and used as feedback to adjust the plan.

[0315] In this way, the system provides the user with an individually optimized health management plan and further supports more effective health management by taking into account the user's emotional state.

[0316] The processing flow will be explained below.

[0317] Step 1: The user installs the app on a device such as a smartphone or tablet and launches it.

[0318] Step 2: The device displays a screen that prompts the user to enter basic health-related information such as name, age, gender, height, and weight.

[0319] Step 3: The user enters their health goals (e.g., weight loss, muscle building), exercise preferences, dietary restrictions, and allergy information.

[0320] Step 4: The terminal displays a screen that prompts the user to input their current emotional state (e.g., stress, fatigue, happiness, etc.).

[0321] Step 5: The user inputs their current emotional state.

[0322] Step 6: The terminal sends all the input data to the server, including the user's health, lifestyle and emotional information.

[0323] Step 7: The server stores the received data in a database for later analysis.

[0324] Step 8: The server's AI algorithm analyzes the user's health, lifestyle, and emotional information stored in the database and generates a fitness and nutrition plan optimized for the user's health, lifestyle, and goals.

[0325] Step 9: The server's emotion engine adjusts the fitness and nutrition plan based on the user's emotional state. For example, if the user is feeling stressed, it adds exercises that promote relaxation (e.g., yoga or meditation).

[0326] Step 10: The server compiles the generated and adjusted fitness plan and nutrition plan and sends it to the user terminal.

[0327] Step 11: The device displays the received plan in the app, allowing the user to confirm and implement it.

[0328] Step 12: The user follows the suggested fitness and dietary plan and records the results within the app.

[0329] Step 13: The device sends the recorded data back to the server, including the user's exercise results, dietary details, and emotional state.

[0330] Step 14: The server analyzes the received feedback data and uses AI algorithms and emotion engines to refine the plan and update it as needed.

[0331] Step 15: The server again transmits the updated plan to the user terminal, allowing the user to continue managing their health with the latest plan.

[0332] Example 2

[0333] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0334] Conventional health management systems provide plans based solely on the user's health information, making it impossible to provide individually optimized plans that take into account the user's emotional state. Furthermore, they lacked a method for effectively utilizing user feedback to continuously improve plans. This made it difficult to maximize user satisfaction and the effectiveness of health management.

[0335] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for collecting health-related information and emotional state input by the user, means for transmitting the collected information to the server, artificial intelligence means and emotion engine means for analyzing the information stored in the server and generating an individual health management plan, and means for providing the generated health management plan to the user. This makes it possible to comprehensively analyze the user's health information and emotional state, provide an individually optimized plan, and continuously improve the plan by effectively utilizing feedback.

[0336] "User" refers to an individual who utilizes the system and inputs their health-related information and emotional state.

[0337] "Health-related information" refers to physiological and lifestyle data such as a user's height, weight, age, lifestyle, exercise preferences, dietary restrictions, and allergy information.

[0338] "Emotional state" refers to the psychological state, such as stress, fatigue, or happiness, that the user is currently experiencing.

[0339] "Means for collecting" refers to a combination of hardware and software for obtaining user-entered health-related information and emotional state.

[0340] "Server" refers to a computer system that receives, stores, and analyzes data sent from a user, generates a health management plan, and sends it back to the user.

[0341] "Artificial Intelligence Means" refers to algorithms and techniques for analyzing a user's health-related information and generating personalized fitness and nutrition plans.

[0342] "Emotion engine means" refers to algorithms and techniques for analyzing a user's emotional state and adjusting a healthcare plan accordingly.

[0343] "Database" refers to an information management system for securely storing a User's health-related information and emotional state so that it can be accessed and analyzed as needed.

[0344] "Health Management Plan" refers to specific exercise and nutrition instructions and advice generated based on a user's health goals and emotional state.

[0345] "Feedback" refers to data that is used to help generate the next health management plan by reporting the results of the user's exercise and diet to the system.

[0346] This invention is a system that generates and provides personalized health management plans to users, and further combines an emotional engine to provide optimal plans that take into account the user's emotional state. This system collects and analyzes health-related information and emotional state entered by the user, and provides fitness and nutrition plans based on that information. Specifically, it includes the following components:

[0347] User terminal

[0348] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The terminal has the following main functions:

[0349] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain).

[0350] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[0351] 3. Real-time tracking: Record and track the user's exercise and diet.

[0352] 4. Emotional state input: The user inputs their current emotion (e.g., stress, fatigue, happiness).

[0353] server

[0354] The server is the central component that receives and processes data sent from user terminals. The server has the following main functions:

[0355] 1. Data collection and storage: Health-related information and emotion data sent from the user device are received and stored in a database.

[0356] 2. Execution of AI algorithm and emotion engine: The stored data is used to execute the AI ​​algorithm and emotion engine to generate a personalized health management plan. The AI ​​algorithm analyzes health-related information to generate fitness and nutrition plans. The emotion engine then analyzes the emotion data and adjusts the plan based on the user's emotional state.

[0357] 3. Plan distribution: The generated plan is sent to the user's device so that the user can view it within the app.

[0358] Database

[0359] The database is an information management system that securely stores users' health-related and emotional data and allows them to access and analyze them as needed.

[0360] AI algorithms and emotion engines

[0361] AI algorithms analyze the collected data and generate personalized fitness and nutrition plans for each user, while an emotional engine analyzes the user's emotional state and adjusts the plan accordingly.

[0362] Specific examples

[0363] As an example of user B's use, the system operates in the following steps:

[0364] 1. Initial Registration

[0365] User B installs the app, logs in, and then enters her profile information (e.g., height 165 cm, weight 60 kg, 28-year-old female).

[0366] 2. Goals and Lifestyle

[0367] Set your goal as "building muscle" and enter the following information: you do a lot of desk work on a daily basis, you go to the gym three times a week, you like Japanese food, and you have a dairy allergy.

[0368] 3. Input of emotional state

[0369] User B inputs "stress" as his current emotional state.

[0370] 4. Data Transmission

[0371] The entered data is sent to the server and stored in the database.

[0372] 5. AI analysis and sentiment analysis

[0373] The server analyzes the data and generates a fitness plan (e.g., strength training three times a week, stretching daily) and a nutrition plan (e.g., high-protein diet, low-dairy) that are optimal for User B. The emotion engine takes stress levels into account and adds exercises that promote relaxation (e.g., yoga and meditation) to the plan.

[0374] 6. Offering of Plans

[0375] The generated plan is sent to User B's device and displayed in the app.

[0376] 7. Execution and Recording

[0377] User B follows the proposed plan and records the results of the exercise and diet in the app. The recorded data is then sent back to the server and used as feedback to adjust the plan.

[0378] Prompt Sentence Examples

[0379] 1. User information prompt:

[0380] Enter your height, weight and age.

[0381] 2. Health Goal Setting Prompt:

[0382] Choose your health goal (e.g., weight loss, muscle gain).

[0383] 3. Lifestyle and Preference Survey Prompts:

[0384] Enter your daily routine, exercise preferences, dietary restrictions and allergy information.

[0385] 4. Emotional state input prompt:

[0386] Please describe your current emotional state (e.g., stressed, tired, happy).

[0387] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0388] Step 1: Enter your user information

[0389] Users install the app, enter their basic information (name, age, height, weight, etc.) and health goals, and then answer a questionnaire about their lifestyle, food preferences, and allergy information.

[0390] Input: Name, age, height, weight, health goals, lifestyle information, dietary preferences, allergy information, etc.

[0391] The terminal temporarily stores the input data and prepares to send it to the next step.

[0392] Output: User information data packet.

[0393] Specific behavior:

[0394] "The user opens the app and follows the on-screen instructions to fill in each field. For example, they enter their name, select their age, then enter their height and weight. Then, they select "muscle building" as their "health goal," and fill in details about their lifestyle and diet in a questionnaire format."

[0395] Step 2: Data transmission and storage

[0396] The terminal transmits the information entered by the user to the server.

[0397] The server stores the received data in a database.

[0398] Input: User information data packet.

[0399] Output: User information stored in the database.

[0400] Specific behavior:

[0401] "The device sends a data packet to the server. The server receives the data and stores it in a database. After storing it, the server returns a data reception confirmation to the device."

[0402] Step 3: Enter your emotional state

[0403] The user inputs their current emotional state (e.g., stress, fatigue, happiness, etc.).

[0404] Input: Emotional state data.

[0405] The terminal transmits the input emotional state data to the server.

[0406] Output: Emotional state data packet.

[0407] Specific behavior:

[0408] "The user opens the 'Current Emotional State' interface on the app, selects their current emotion from the options, for example, selects 'Stress', and presses the save button. The device then sends this data to the server."

[0409] Step 4: AI analysis and sentiment analysis

[0410] The server reads user information from a database and runs AI algorithms and emotion engines.

[0411] Input: User information data, emotional state data.

[0412] The server generates fitness and nutrition plans using AI algorithms and adjusts the plans using an emotion engine.

[0413] Output: A personalized health care plan.

[0414] Specific behavior:

[0415] "The server loads all of the user's data from the database and inputs it into an AI algorithm. The algorithm generates a fitness plan based on the user's health goals and lifestyle. An emotion engine then adjusts the plan to take into account the user's emotional state and creates the final plan."

[0416] Step 5: Deploy and view your plan

[0417] The server transmits the generated health management plan to the user terminal.

[0418] The terminal displays the received plan to the user.

[0419] Input: The generated health care plan.

[0420] Output: The healthcare plan displayed to the user.

[0421] Specific behavior:

[0422] "The server sends the final plan as a data packet to the device. The device receives this data and displays it in the appropriate interface within the app, where the user can view a detailed fitness and nutrition plan."

[0423] Step 6: Recording the execution and feedback

[0424] The user follows the suggested plan for exercise and diet.

[0425] Input: Exercise and diet results.

[0426] The terminal records the user's execution results and transmits them to the server.

[0427] The server stores the feedback data in a database and uses it to generate the next plan.

[0428] Output: Updated user data.

[0429] Specific behavior:

[0430] "Users follow the app's instructions for daily exercise and diet, and then enter the results into the app. For example, after a workout, they enter the results and record their diet in the app. The device then sends this data to the server, which stores it in a database and uses it to generate the next plan."

[0431] In this way, the system can comprehensively analyze the user's health information and emotional state to provide an optimal personalized health management plan, and continuously use user feedback to improve the plan and support effective health management.

[0432] (Application example 2)

[0433] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0434] Conventional health management systems typically provide plans based on a user's individual health condition and lifestyle, but do not adequately consider the user's emotional state when generating plans. Furthermore, there is a lack of means to provide users with health management plans in real time via smart devices in physical stores. As a result, users are unable to receive appropriate fitness and nutrition plans tailored to their stress and fatigue levels, preventing them from fully enjoying the benefits of these plans.

[0435] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0436] In this invention, the server includes means for collecting health-related information and emotional states input by a user, means for transmitting the collected information to the server, artificial intelligence means for analyzing the information stored in the server and generating an individual health management plan and fitness plan, and means for displaying the user's health management plan in real time via a smart device, thereby enabling the user to receive an optimal fitness and nutrition plan tailored to their health and emotional state in real time.

[0437] "Health-related information" refers to information about a user's physical condition and health goals, specifically including height, weight, age, health goals (e.g., weight loss, muscle building, etc.), and the like.

[0438] "Emotional state" refers to the user's mental state, and specifically includes information such as stress, fatigue, and happiness.

[0439] "Server" refers to a central component for receiving, storing and analyzing data sent by users.

[0440] "Artificial intelligence means" refers to algorithms that analyze collected data and generate personalized health and fitness plans.

[0441] "Health Management Plan" refers to a specific exercise and diet plan suggested to improve the user's health.

[0442] "Fitness plan" refers to a suggested exercise plan to improve a user's physical fitness and health.

[0443] "Nutrition Plan" refers to a suggested dietary plan for maintaining or improving a user's health.

[0444] "Smart device" refers to a device that allows users to interface with a system, and specifically includes smartphones, smart glasses, head-mounted displays, etc.

[0445] "Displaying in real time" refers to providing information to the user immediately.

[0446] A specific system for implementing this invention is composed of the following main components: a user terminal, a server, a database, an artificial intelligence algorithm, and an emotion analysis engine. The details of this system are described below.

[0447] User terminal

[0448] A user terminal refers to a smart device such as a smartphone, smart glasses, or a head-mounted display. The role of the terminal is to collect input information from the user and send it to the server.

[0449] Entering health-related information

[0450] Users enter their height, weight, age, and health goals (e.g., weight loss, muscle gain, etc.), and this information is used for subsequent analysis.

[0451] Lifestyle and Preference Survey

[0452] Users enter information about their daily routine, exercise preferences, dietary restrictions and allergies, which is used to generate a fitness and nutrition plan tailored to them.

[0453] Entering emotional states

[0454] The user inputs their current emotional state, such as stress, fatigue, happiness, etc. Emotional state is an important factor in adjusting the plan.

[0455] Real-time information provision

[0456] The generated health management and fitness plans are provided to the user in real time via their smart device, allowing them to receive immediate feedback.

[0457] server

[0458] The server is the central component that receives and processes data sent from user terminals.

[0459] Data collection and storage

[0460] The health-related information and emotional state submitted by the user is stored in a database for quick access later when needed.

[0461] Data analysis and plan generation

[0462] Using the stored data, artificial intelligence algorithms generate fitness and nutrition plans. Generative AI models are used to analyze the data. An emotional analysis engine adjusts the generated plans based on the user's emotional state.

[0463] Database

[0464] The database is an information management system that securely stores users' health-related information and emotional data.

[0465] Artificial intelligence algorithms and sentiment analysis engines

[0466] Artificial intelligence algorithms analyze the collected data and generate personalized fitness and nutrition plans for each user, while an emotional analysis engine analyzes the user's emotional state and adjusts the plans accordingly.

[0467] Specific examples

[0468] The user puts on the smart glasses and enters their profile information for initial registration. For example, a 28-year-old woman, 170 cm tall and weighing 65 kg, sets her goal as "building muscle." She also enters her daily exercise amount, food preferences, and allergy information, and enters "stress" as her current emotional state. This information is sent to the server and stored in a database. The server analyzes the data, and the generated plan is displayed in real time on the user's smart glasses.

[0469] Prompt Sentence Examples

[0470] User height: 170cm

[0471] Weight: 65kg

[0472] Health goal: weight loss

[0473] Lifestyle: Running three times a week

[0474] Food preference: Vegetable-based

[0475] Emotional state: Stress

[0476] Generate personalized fitness and nutrition plans.

[0477] As described above, this system allows users to receive a health management plan in real time that is optimized for their own health and emotional state.

[0478] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0479] Step 1:

[0480] Entering health-related information on user devices

[0481] A user uses a smart device (smartphone, smart glasses, etc.) to input health-related information (height, weight, health goals, etc.), lifestyle and preference information (exercise preferences, dietary restrictions, allergy information, etc.), and emotional state (stress, fatigue, happiness, etc.). The user inputs this input data through the interface of the device, and the device receives it. All collected user data is available as the output of the device.

[0482] Step 2:

[0483] Sending data to the server

[0484] The device transmits the collected user data to the server. This transmitted data includes health-related information, lifestyle and preference information, and emotional state information. The server receives the transmitted data from the device and stores it in a database. The output of the server is the data stored in the database.

[0485] Step 3:

[0486] Analyze data and generate fitness plans

[0487] The server analyzes the user data stored in the database. The analysis uses a generative AI model, and an artificial intelligence algorithm generates a health management plan and fitness plan for each user. Specifically, the server generates the following prompt sentence and inputs it into the generative AI model:

[0488] User height: 170cm

[0489] Weight: 65kg

[0490] Health goal: weight loss

[0491] Lifestyle: Running three times a week

[0492] Food preference: Vegetable-based

[0493] Emotional state: Stress

[0494] Generate personalized fitness and nutrition plans.

[0495] The output of the server is a generated personalized fitness and nutrition plan.

[0496] Step 4:

[0497] Sentiment analysis and plan adjustment

[0498] The server uses an emotion analysis engine to analyze the user's emotional state and adjusts the generated plan based on the results. For example, if the user enters "stress," exercises that promote relaxation (such as yoga or meditation) will be added to the plan. The server's output is an adjusted plan that reflects the user's emotional state.

[0499] Step 5:

[0500] Real-time plan display

[0501] The server sends the generated and adjusted plan to the user terminal, and the smart device displays the plan in real time for easy access by the user. The output of the terminal is a real-time displayed health management plan and fitness plan.

[0502] Step 6:

[0503] Gather feedback and refine your plan

[0504] The user follows the provided plan and records the results of their exercise and diet on the device. The recorded data is then sent back to the server, which then adjusts the plan based on this data. This allows for dynamic plan optimization based on feedback. The server's output is the latest health management plan that has been readjusted based on the feedback.

[0505] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the 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.

[0506] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0507] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0508] [Second embodiment]

[0509] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0510] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0511] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0512] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0513] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0514] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0515] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0516] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0517] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0518] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0519] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0520] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0521] The present invention relates to a system for generating and providing a personalized health management plan to a user. The system collects and analyzes health-related information entered by the user and provides fitness and nutrition plans based on the collected information.

[0522] System Overview

[0523] The system consists of the following main components: user terminal, server, database, and AI algorithm, each of which is explained in detail below.

[0524] User terminal

[0525] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The main roles of a user terminal are to:

[0526] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain, etc.).

[0527] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[0528] 3. Real-time tracking: Record and track the user's exercise and diet.

[0529] server

[0530] The server is the central component that receives and processes data sent from user devices. The server's responsibilities are as follows:

[0531] 1. Data collection and storage: Receive health-related information sent from user devices and store it in a database.

[0532] 2. Running AI algorithms: Run AI algorithms using the stored data to generate personalized health management plans.

[0533] 3. Plan distribution: The generated plan is sent to the user's device so that the user can view it within the app.

[0534] Database

[0535] The database is an information management system that securely stores users' health-related information and allows them to access and analyze it as needed.

[0536] AI algorithms

[0537] The AI ​​algorithm analyzes the collected data and generates a personalized fitness and nutrition plan for each user. The main responsibilities of the AI ​​algorithm are to:

[0538] 1. Data analysis: Analyze users' health information, lifestyle, and preferences to create basic data.

[0539] 2. Plan generation: Based on the analyzed data, the system generates optimal fitness and nutrition plans for each user.

[0540] 3. Incorporate feedback: Receive user feedback to refine and improve the plan.

[0541] Specific examples

[0542] Example of user A's use

[0543] 1. Initial Registration

[0544] User A installs the app, logs in, and then enters his or her profile information (e.g., height 170 cm, weight 65 kg, 32-year-old male).

[0545] 2. Goals and Lifestyle

[0546] Set your goal as "weight loss" and enter the fact that you have a sedentary job, that you jog twice a week, that you like Japanese food, and that you have no allergies.

[0547] 3. Data Transmission

[0548] The entered data is sent to the server and stored in the database.

[0549] 4. AI analysis

[0550] The server analyzes the data and generates an optimal fitness plan (e.g., 30 minutes of jogging three times a week) and nutrition plan (e.g., daily calorie limit of 1,200 kcal) for User A.

[0551] 5. Offering of Plans

[0552] The generated plan is sent to User A's device and displayed in the app.

[0553] 6. Execution and Recording

[0554] User A follows the proposed plan and records the results of their exercise and diet in the app. The recorded data is then sent back to the server and used as feedback to adjust the plan.

[0555] In this way, the system provides users with individually optimized health management plans, supporting efficient health management even in the midst of busy lifestyles.

[0556] The processing flow will be explained below.

[0557] Step 1: The user installs the app on a device such as a smartphone or tablet and launches it.

[0558] Step 2: The device displays a screen that prompts the user to enter basic health-related information such as name, age, gender, height, and weight.

[0559] Step 3: The user enters their health goals (e.g., weight loss, muscle building), exercise preferences, dietary restrictions, and allergy information.

[0560] Step 4: The terminal sends the input data, including the user's health and lifestyle information, to the server.

[0561] Step 5: The server stores the received data in a database for later analysis.

[0562] Step 6: The server's AI algorithm analyzes the user's information stored in the database and generates a fitness and nutrition plan optimized for the user's health, lifestyle, and goals.

[0563] Step 7: The server compiles the generated fitness plan and nutrition plan and sends them to the user terminal.

[0564] Step 8: The device displays the received plan in the app, allowing the user to confirm and implement it.

[0565] Step 9: The user follows the suggested fitness and dietary plan and records their results within the app.

[0566] Step 10: The device sends the recorded data back to the server, including the user's exercise results and dietary information.

[0567] Step 11: The server analyzes the received feedback data and uses AI algorithms to refine the plan and update it as needed.

[0568] Step 12: The server again transmits the updated plan to the user terminal, allowing the user to continue managing their health with the latest plan.

[0569] Example 1

[0570] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0571] Although there are many general health plans available in modern society, it is difficult to provide a plan optimized for each user's lifestyle and health condition. In addition, the lack of functionality to dynamically update plans based on user feedback makes it difficult to carry out long-term health management and efficient planning.

[0572] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0573] In this invention, the server includes means for collecting health-related information input by users, means for transmitting the collected information to the server, artificial intelligence means for analyzing the information stored in the server and generating an individual health management plan, means for providing the generated health management plan to the user, means for recording the health management results performed by the user, and means for transmitting the recorded results to the server and updating the plan based on feedback. This makes it possible to provide a plan optimized for each user's lifestyle and health condition and to dynamically update the plan based on user feedback.

[0574] "Health-related information entered by the user" refers to health-related information entered by the user through the device, such as their profile, physical data, health goals, lifestyle, dietary preferences and allergy information.

[0575] "Means for transmitting collected information to a server" refers to a function for transferring health-related information entered by a user into the device to a server via a network.

[0576] "Artificial intelligence means for analyzing information stored on the server and generating an individual health management plan" refers to the function of artificial intelligence that uses machine learning and data analysis techniques to create an optimized health management plan for each user based on user data stored on the server.

[0577] The "means for providing the generated health management plan to the user" refers to a function for transmitting the health management plan generated by the server to the user's device so that the user can view it.

[0578] "Means for recording the health management results performed by the user" refers to a function for recording on the device the results of the exercise and diet the user engaged in based on the proposed health management plan.

[0579] "Means of sending recorded results to a server and updating the plan based on feedback" refers to a function that sends the health management results recorded by the user to a server, and the AI ​​analyzes the feedback and dynamically updates the health management plan.

[0580] "Means for storing in a database" refers to the function that enables the server to safely store the received user data for a long period of time and to make it accessible as needed.

[0581] This invention relates to a system for individually optimizing a user's health management. Specifically, a system is constructed that collects and analyzes health-related information entered by the user and provides fitness and nutrition plans based on that information. The overall configuration and operation of the system are described below.

[0582] System configuration

[0583] The system consists of the following main components:

[0584] 1. User Device

[0585] 2. Server

[0586] 3. Database

[0587] 4. AI Algorithms

[0588] 1. User Device

[0589] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The main functions of a user terminal are as follows:

[0590] Entering user information

[0591] Users enter profile information into the device, such as their name, age, height, weight, and health goals, as well as information about their lifestyle, dietary preferences, and allergies.

[0592] Real-time Tracking

[0593] It provides the ability to record the fitness activities and food intake of users and collect data.

[0594] 2. Server

[0595] The server is the central component that receives and processes data sent from user devices. The server's responsibilities are as follows:

[0596] Data collection and storage

[0597] Health-related information sent from the user terminal is received and stored in a database.

[0598] Running AI algorithms

[0599] The stored data is used to run AI algorithms to generate a personalized health management plan.

[0600] Plan Delivery

[0601] The generated plan is sent to the user's device so that the user can view it within the app.

[0602] Receiving and incorporating feedback

[0603] The results of the user's fitness and dietary activities are received again, and the data is analyzed to update the plan.

[0604] 3. Database

[0605] The database is an information management system that safely stores users' health-related information and accesses and analyzes it as needed. The server stores and retrieves user data through the database and uses it for analysis.

[0606] 4. AI Algorithms

[0607] The AI ​​algorithm analyzes the collected data and generates a personalized fitness and nutrition plan for each user. The main functions of the AI ​​algorithm are:

[0608] Data analysis

[0609] Analyze users' health information, lifestyle, and preferences to create basic data.

[0610] Plan Generation

[0611] Based on the analyzed data, an optimal fitness and nutrition plan is generated for each user.

[0612] Reflecting feedback

[0613] Receive user feedback to refine and improve your plans.

[0614] Specific examples of operation

[0615] Example of user A's use

[0616] 1. Initial Registration

[0617] User A installs the app and creates an account by entering their email address and password. The registration information is sent to the server and stored in the database.

[0618] 2. Enter user information

[0619] User A enters into the app that he is a 32-year-old male, 170 cm tall and weighing 65 kg, and that he is aiming to lose weight. He also enters that he has a mostly sedentary job, jogs twice a week, likes Japanese food, and has no allergies. The data is sent to the server and stored in the database.

[0620] 3. Data analysis and health plan generation

[0621] The server retrieves User A's information from the database and inputs it into an AI algorithm. The AI ​​then generates an optimal fitness plan (e.g., 30 minutes of jogging three times a week) and nutrition plan (e.g., daily calorie limit of 1,200 kcal) for User A.

[0622] 4. Providing health plans

[0623] The generated plan is sent from the server to User A's device and displayed in the app. User A checks the plan and acts according to their fitness and nutrition goals.

[0624] 5. Execution and Recording of Results

[0625] User A jogs according to the proposed plan and records the results in the app, for example, by entering the jogging distance, time, calories burned, and food intake.

[0626] 6. Incorporating feedback

[0627] The recorded data is sent to a server, where an AI algorithm analyzes the data and updates the plan. For example, if User A wants to increase their jogging, a new plan will be proposed. This allows for more effective health management.

[0628] Prompt Sentence Examples

[0629] Here are some example prompts for a generative AI model:

[0630] "I'm a 32-year-old man, 170 cm tall and 65 kg. I want to lose weight. I have a sedentary job and jog twice a week. I like Japanese food and have no allergies. Can you recommend a fitness and nutrition plan that's right for me?"

[0631] In this way, the system provides users with individually optimized health management plans, supporting efficient health management even in the midst of busy lifestyles.

[0632] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0633] Step 1:

[0634] User Registration

[0635] How it works:

[0636] The first time a user uses the app, they create an account.

[0637] Input: Email address, password, basic profile information

[0638] Output: The user's account information is saved on the server.

[0639] Example: A user enters an email address and password to create an account. The server receives the information and stores it in a database.

[0640] Step 2:

[0641] Enter user information

[0642] How it works:

[0643] A user enters detailed health-related and lifestyle information into a terminal.

[0644] Input: Height, weight, age, gender, health goals, lifestyle, food preferences, allergy information

[0645] Output: The user's detailed health-related information is sent to the server and stored in a database.

[0646] Example: A user enters into the app that he is a 32-year-old male, 170 cm tall, weighs 65 kg, and has a goal of losing weight, and sends this information to the server.

[0647] Step 3:

[0648] Data collection and storage

[0649] How it works:

[0650] The server receives the user information sent from the terminal and stores it in a database.

[0651] Input: Health-related information received by the server from the device

[0652] Output: User information is saved in the database.

[0653] Example: The server receives data from the device, such as the user's height, weight, and health goals, and stores it in a database.

[0654] Step 4:

[0655] Data analysis and health plan generation

[0656] How it works:

[0657] The server retrieves user information from a database and uses AI algorithms to generate an individualized health management plan.

[0658] Input: User information stored in the database

[0659] Output: A personalized health plan

[0660] Example: The server inputs the user's data into an AI algorithm and generates a plan that includes jogging for 30 minutes three times a week and a daily calorie limit of 1,200 kcal.

[0661] Step 5:

[0662] Health plan offerings

[0663] How it works:

[0664] The server sends the generated health management plan to the user's device, where it can be viewed within the app.

[0665] Input: Generated health care plan

[0666] Output: Health plan sent to user's device

[0667] Example: The server sends the generated plan to the user's device, and the user opens the app to view the plan.

[0668] Step 6:

[0669] Execution and result recording

[0670] How it works:

[0671] Users implement the proposed plan and record the results within the app.

[0672] Input: Results of the user's health management (exercise, diet)

[0673] Output: Recorded data is sent to the server

[0674] Example: A user goes jogging and enters the distance, time, calories burned, and food intake into the app, which then sends the data to the server.

[0675] Step 7:

[0676] Receiving and incorporating feedback

[0677] How it works:

[0678] The server receives the data recorded by the user and updates the health management plan using AI algorithms.

[0679] Input: User-recorded health care results

[0680] Output: Updated health plan

[0681] Example: The server analyzes the user's data and suggests a new plan based on the information that will help the user to jog more, thereby enabling the user to manage their health more effectively.

[0682] (Application example 1)

[0683] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0684] In today's busy lifestyles, it is important to provide optimal health management plans for individual users. However, existing healthcare systems lack the functionality to not only generate personalized health plans, but also recommend related health products (such as supplements, health foods, and fitness equipment) and allow users to easily purchase them. As a result, users have difficulty obtaining the resources to take actual action based on the optimal plan. This may reduce the effectiveness of users' health improvements.

[0685] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0686] In this invention, the server includes means for collecting health-related information input by a user, means for transmitting the collected information to the server, artificial intelligence means for analyzing the information stored in the server and generating an individual health management plan, means for suggesting related products based on the generated health management plan, and means for enabling the user to purchase the suggested related products. This allows the user not only to receive an individual health management plan but also to easily purchase health products based on it.

[0687] "Health-related information" refers to information such as the user's weight, height, age, sex, health goals, lifestyle, and dietary restrictions.

[0688] A "server" is a computer system that receives, stores, and analyzes data sent from user terminals.

[0689] "Artificial intelligence means" is the collection of algorithms and software used to analyze collected data and generate a personalized health care plan.

[0690] "Suggesting related products" refers to recommending products (such as supplements, health foods, and fitness equipment) that will help the user achieve their health goals based on the generated health management plan.

[0691] "Purchase means" refers to an interface and functionality that allows a user to directly purchase suggested related products.

[0692] A "database" is a system for centrally managing and safely storing users' health-related information stored on a server.

[0693] A "fitness plan" is a specific exercise plan that instructs the user to achieve their health goals.

[0694] A "nutrition plan" is a specific dietary instruction for achieving a user's health goals.

[0695] In accordance with the present invention, a system for providing an individualized health care plan is implemented as follows.

[0696] System Configuration

[0697] User terminal

[0698] The user terminal is a device such as a smartphone or tablet. This terminal has the following main functions:

[0699] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain, etc.).

[0700] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[0701] 3. Real-time tracking: Record and track the user's exercise and diet.

[0702] server

[0703] The server is the central component that receives and processes data sent from user terminals. This server has the following functions:

[0704] 1. Data collection and storage: Receive health-related information sent from the user device and store it in a database.

[0705] 2. Running AI algorithms: The collected data is used to run AI algorithms to generate personalized health management plans.

[0706] 3. Plan distribution: The generated health management plan is sent to the user's device so that the user can view it within the app.

[0707] 4. Suggesting related products: Based on the generated plan, a list of related products suitable for the user is generated and suggested.

[0708] 5. Help to buy: Allow users to directly purchase suggested related products.

[0709] Database

[0710] The database is an information management system that securely stores users' health-related information and allows them to access and analyze it as needed.

[0711] Hardware and Software Used

[0712] Frontend: React Native, Expo

[0713] Backend: Node.js, Express.js

[0714] Database: MongoDB

[0715] AI algorithms: Python, TensorFlow or PyTorch

[0716] API communication: RESTful API

[0717] Program processing explanation

[0718] The server receives health-related information sent from the user's device and stores it in a database. The stored information is analyzed by an AI algorithm to generate an individual health management plan. The generated plan is sent to the user's device and displayed within the application. At the same time, related health products are suggested based on the generated plan. The user can view and purchase these suggested products within the application.

[0719] Specific examples (prompt sentence examples)

[0720] If a user sets a goal of "I want to lose 10 kg" and selects "jogging once a week" as lifestyle information, the AI ​​model will use past data to generate a fitness plan tailored to the user (jogging and strength training three times a week, Monday, Wednesday, and Friday), and provide a tailored nutrition plan (1800 kcal a day and specific supplements). Related products will also be suggested.

[0721] Example prompts to be input to the generative AI model:

[0722] User Information:

[0723] Age: 35

[0724] Gender: Male

[0725] Weight: 85kg

[0726] Height: 175cm

[0727] Health goal: Lose 10kg

[0728] Lifestyle: Jogging once a week

[0729] Dietary restrictions: None

[0730] Based on this information, the AI ​​generates optimal fitness and nutrition plans for users and suggests related products.

[0731] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0732] Step 1: Enter your user information

[0733] Users use devices such as smartphones or tablets to input their name, age, height, weight, and health goals (e.g., weight loss, muscle building, etc.). They also enter information about their lifestyle, dietary restrictions, and allergies in a questionnaire format. The input data is collected by the device.

[0734] Input: Name, age, height, weight, health goals, lifestyle, dietary restrictions, allergy information

[0735] Output: Generate user profile data

[0736] Step 2: Sending data

[0737] The terminal sends the collected user input data to the server, which receives the data and stores it in a database.

[0738] Input: User profile data

[0739] Output: Send data to server, save to database

[0740] Step 3: Save your data

[0741] The server stores user profile data in a database, which is used for further analysis.

[0742] Input: User profile data

[0743] Output: Save data to database

[0744] Step 4: Data analysis

[0745] The server retrieves the user profile data stored in the database and analyzes it using AI algorithms, which then generates a personalized health management plan (fitness plan and nutrition plan).

[0746] Input: User profile data

[0747] Output: Generate an individualized health care plan

[0748] Step 5: Deploy the plan

[0749] The server sends the generated health management plan to the user's device, where it is displayed in an application on the device. The user can then check their own health management plan.

[0750] Enter: Individual Health Care Plan

[0751] Output: Plan delivery to user device, display within app

[0752] Step 6: Suggest related products

[0753] The server generates a list of related products suitable for the user based on the generated health management plan, and transmits this list back to the user terminal.

[0754] Enter: Individual Health Care Plan

[0755] Output: Generate and deliver a list of related products

[0756] Step 7: Purchase

[0757] The user checks the related products suggested within the application and completes the purchase. The device then sends the purchase information to the server, completing the purchase.

[0758] Input: List of related products

[0759] Output: User completes purchase and sends purchase information

[0760] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0761] This invention is a system that generates and provides individualized health management plans to users, and further combines an emotion engine to provide optimal plans that take into account the user's emotional state. This system collects and analyzes health-related information entered by the user, and provides fitness and nutrition plans based on that information.

[0762] System Overview

[0763] The system consists of the following main components: user terminal, server, database, AI algorithm, and emotion engine. Each of these is explained in detail below.

[0764] User terminal

[0765] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The main roles of a user terminal are to:

[0766] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain, etc.).

[0767] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[0768] 3. Real-time tracking: Record and track the user's exercise and diet.

[0769] 4. Emotional state input: The user inputs their current emotion (e.g., stress, fatigue, happiness, etc.).

[0770] server

[0771] The server is the central component that receives and processes data sent from user devices. The server's responsibilities are as follows:

[0772] 1. Data collection and storage: Health-related information and emotion data sent from the user device are received and stored in a database.

[0773] 2. Execution of AI algorithms and emotion engines: The stored data is used to execute AI algorithms and emotion engines to generate personalized health management plans.

[0774] 3. Plan distribution: The generated plan is sent to the user's device so that the user can view it within the app.

[0775] Database

[0776] The database is an information management system that securely stores users' health-related and emotional data and allows them to access and analyze them as needed.

[0777] AI algorithms and emotion engines

[0778] The AI ​​algorithm analyzes the collected data and generates personalized fitness and nutrition plans for each user, while the emotion engine analyzes the user's emotional state and adjusts the plan accordingly. The main roles of each component are as follows:

[0779] 1. Data analysis: Analyze the user's health information, lifestyle, preferences, and emotional state to create basic data.

[0780] 2. Generate fitness and nutrition plans: Based on the analyzed data, generate optimal fitness and nutrition plans for each user.

[0781] 3. Reflecting emotional state: The emotional engine adjusts the plan based on the identified emotional state to provide advice that best suits the user's current situation.

[0782] Specific examples

[0783] Example of User B's use

[0784] 1. Initial Registration

[0785] User B installs the app, logs in, and then enters her profile information (e.g., height 165 cm, weight 60 kg, 28-year-old female).

[0786] 2. Goals and Lifestyle

[0787] Set your goal as "building muscle" and enter the following information: you do a lot of desk work on a daily basis, you go to the gym three times a week, you like Japanese food, and you have a dairy allergy.

[0788] 3. Input of emotional state

[0789] User B inputs "stress" as his current emotional state.

[0790] 4. Data Transmission

[0791] The entered data is sent to the server and stored in the database.

[0792] 5. AI analysis and sentiment analysis

[0793] The server analyzes the data and generates a fitness plan (e.g., strength training three times a week, stretching daily) and nutrition plan (e.g., high-protein diet, low-dairy) that are optimal for User B. The emotion engine takes stress levels into account and adds exercises that promote relaxation (e.g., yoga and meditation) to the plan.

[0794] 6. Offering of Plans

[0795] The generated plan is sent to User B's device and displayed in the app.

[0796] 7. Execution and Recording

[0797] User B follows the proposed plan and records the results of the exercise and diet in the app. The recorded data is then sent back to the server and used as feedback to adjust the plan.

[0798] In this way, the system provides the user with an individually optimized health management plan and further supports more effective health management by taking into account the user's emotional state.

[0799] The processing flow will be explained below.

[0800] Step 1: The user installs the app on a device such as a smartphone or tablet and launches it.

[0801] Step 2: The device displays a screen that prompts the user to enter basic health-related information such as name, age, gender, height, and weight.

[0802] Step 3: The user enters their health goals (e.g., weight loss, muscle building), exercise preferences, dietary restrictions, and allergy information.

[0803] Step 4: The terminal displays a screen that prompts the user to input their current emotional state (e.g., stress, fatigue, happiness, etc.).

[0804] Step 5: The user inputs their current emotional state.

[0805] Step 6: The terminal sends all the input data to the server, including the user's health, lifestyle and emotional information.

[0806] Step 7: The server stores the received data in a database for later analysis.

[0807] Step 8: The server's AI algorithm analyzes the user's health, lifestyle, and emotional information stored in the database and generates a fitness and nutrition plan optimized for the user's health, lifestyle, and goals.

[0808] Step 9: The server's emotion engine adjusts the fitness and nutrition plan based on the user's emotional state. For example, if the user is feeling stressed, it adds exercises that promote relaxation (e.g., yoga or meditation).

[0809] Step 10: The server compiles the generated and adjusted fitness plan and nutrition plan and sends it to the user terminal.

[0810] Step 11: The device displays the received plan in the app, allowing the user to confirm and implement it.

[0811] Step 12: The user follows the suggested fitness and dietary plan and records the results within the app.

[0812] Step 13: The device sends the recorded data back to the server, including the user's exercise results, dietary details, and emotional state.

[0813] Step 14: The server analyzes the received feedback data and uses AI algorithms and emotion engines to refine the plan and update it as needed.

[0814] Step 15: The server again transmits the updated plan to the user terminal, allowing the user to continue managing their health with the latest plan.

[0815] Example 2

[0816] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0817] Conventional health management systems provide plans based solely on the user's health information, making it impossible to provide individually optimized plans that take into account the user's emotional state. Furthermore, they lacked a method for effectively utilizing user feedback to continuously improve plans. This made it difficult to maximize user satisfaction and the effectiveness of health management.

[0818] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for collecting health-related information and emotional state input by the user, means for transmitting the collected information to the server, artificial intelligence means and emotion engine means for analyzing the information stored in the server and generating an individual health management plan, and means for providing the generated health management plan to the user. This makes it possible to comprehensively analyze the user's health information and emotional state, provide an individually optimized plan, and continuously improve the plan by effectively utilizing feedback.

[0819] "User" refers to an individual who utilizes the system and inputs their health-related information and emotional state.

[0820] "Health-related information" refers to physiological and lifestyle data such as a user's height, weight, age, lifestyle, exercise preferences, dietary restrictions, and allergy information.

[0821] "Emotional state" refers to the psychological state, such as stress, fatigue, or happiness, that the user is currently experiencing.

[0822] "Means for collecting" refers to a combination of hardware and software for obtaining user-entered health-related information and emotional state.

[0823] "Server" refers to a computer system that receives, stores, and analyzes data sent from a user, generates a health management plan, and sends it back to the user.

[0824] "Artificial Intelligence Means" refers to algorithms and techniques for analyzing a user's health-related information and generating personalized fitness and nutrition plans.

[0825] "Emotion engine means" refers to algorithms and techniques for analyzing a user's emotional state and adjusting a healthcare plan accordingly.

[0826] "Database" refers to an information management system for securely storing a User's health-related information and emotional state so that it can be accessed and analyzed as needed.

[0827] "Health Management Plan" refers to specific exercise and nutrition instructions and advice generated based on a user's health goals and emotional state.

[0828] "Feedback" refers to data that is used to help generate the next health management plan by reporting the results of the user's exercise and diet to the system.

[0829] This invention is a system that generates and provides personalized health management plans to users, and further combines an emotional engine to provide optimal plans that take into account the user's emotional state. This system collects and analyzes health-related information and emotional state entered by the user, and provides fitness and nutrition plans based on that information. Specifically, it includes the following components:

[0830] User terminal

[0831] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The terminal has the following main functions:

[0832] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain).

[0833] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[0834] 3. Real-time tracking: Record and track the user's exercise and diet.

[0835] 4. Emotional state input: The user inputs their current emotion (e.g., stress, fatigue, happiness).

[0836] server

[0837] The server is the central component that receives and processes data sent from user terminals. The server has the following main functions:

[0838] 1. Data collection and storage: Health-related information and emotion data sent from the user device are received and stored in a database.

[0839] 2. Execution of AI algorithm and emotion engine: The stored data is used to execute the AI ​​algorithm and emotion engine to generate a personalized health management plan. The AI ​​algorithm analyzes health-related information to generate fitness and nutrition plans. The emotion engine then analyzes the emotion data and adjusts the plan based on the user's emotional state.

[0840] 3. Plan distribution: The generated plan is sent to the user's device so that the user can view it within the app.

[0841] Database

[0842] The database is an information management system that securely stores users' health-related and emotional data and allows them to access and analyze them as needed.

[0843] AI algorithms and emotion engines

[0844] AI algorithms analyze the collected data and generate personalized fitness and nutrition plans for each user, while an emotional engine analyzes the user's emotional state and adjusts the plan accordingly.

[0845] Specific examples

[0846] As an example of user B's use, the system operates in the following steps:

[0847] 1. Initial Registration

[0848] User B installs the app, logs in, and then enters her profile information (e.g., height 165 cm, weight 60 kg, 28-year-old female).

[0849] 2. Goals and Lifestyle

[0850] Set your goal as "building muscle" and enter the following information: you do a lot of desk work on a daily basis, you go to the gym three times a week, you like Japanese food, and you have a dairy allergy.

[0851] 3. Input of emotional state

[0852] User B inputs "stress" as his current emotional state.

[0853] 4. Data Transmission

[0854] The entered data is sent to the server and stored in the database.

[0855] 5. AI analysis and sentiment analysis

[0856] The server analyzes the data and generates a fitness plan (e.g., strength training three times a week, stretching daily) and a nutrition plan (e.g., high-protein diet, low-dairy) that are optimal for User B. The emotion engine takes stress levels into account and adds exercises that promote relaxation (e.g., yoga and meditation) to the plan.

[0857] 6. Offering of Plans

[0858] The generated plan is sent to User B's device and displayed in the app.

[0859] 7. Execution and Recording

[0860] User B follows the proposed plan and records the results of the exercise and diet in the app. The recorded data is then sent back to the server and used as feedback to adjust the plan.

[0861] Prompt Sentence Examples

[0862] 1. User information prompt:

[0863] Enter your height, weight and age.

[0864] 2. Health Goal Setting Prompt:

[0865] Choose your health goal (e.g., weight loss, muscle gain).

[0866] 3. Lifestyle and Preference Survey Prompts:

[0867] Enter your daily routine, exercise preferences, dietary restrictions and allergy information.

[0868] 4. Emotional state input prompt:

[0869] Please describe your current emotional state (e.g., stressed, tired, happy).

[0870] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0871] Step 1: Enter your user information

[0872] Users install the app, enter their basic information (name, age, height, weight, etc.) and health goals, and then answer a questionnaire about their lifestyle, food preferences, and allergy information.

[0873] Input: Name, age, height, weight, health goals, lifestyle information, dietary preferences, allergy information, etc.

[0874] The terminal temporarily stores the input data and prepares to send it to the next step.

[0875] Output: User information data packet.

[0876] Specific behavior:

[0877] "The user opens the app and follows the on-screen instructions to fill in each field. For example, they enter their name, select their age, then enter their height and weight. Then, they select "muscle building" as their "health goal," and fill in details about their lifestyle and diet in a questionnaire format."

[0878] Step 2: Data transmission and storage

[0879] The terminal transmits the information entered by the user to the server.

[0880] The server stores the received data in a database.

[0881] Input: User information data packet.

[0882] Output: User information stored in the database.

[0883] Specific behavior:

[0884] "The device sends a data packet to the server. The server receives the data and stores it in a database. After storing it, the server returns a data reception confirmation to the device."

[0885] Step 3: Enter your emotional state

[0886] The user inputs their current emotional state (e.g., stress, fatigue, happiness, etc.).

[0887] Input: Emotional state data.

[0888] The terminal transmits the input emotional state data to the server.

[0889] Output: Emotional state data packet.

[0890] Specific behavior:

[0891] "The user opens the 'Current Emotional State' interface on the app, selects their current emotion from the options, for example, selects 'Stress', and presses the save button. The device then sends this data to the server."

[0892] Step 4: AI analysis and sentiment analysis

[0893] The server reads user information from a database and runs AI algorithms and emotion engines.

[0894] Input: User information data, emotional state data.

[0895] The server generates fitness and nutrition plans using AI algorithms and adjusts the plans using an emotion engine.

[0896] Output: A personalized health care plan.

[0897] Specific behavior:

[0898] "The server loads all of the user's data from the database and inputs it into an AI algorithm. The algorithm generates a fitness plan based on the user's health goals and lifestyle. An emotion engine then adjusts the plan to take into account the user's emotional state and creates the final plan."

[0899] Step 5: Deploy and view your plan

[0900] The server transmits the generated health management plan to the user terminal.

[0901] The terminal displays the received plan to the user.

[0902] Input: The generated health care plan.

[0903] Output: The healthcare plan displayed to the user.

[0904] Specific behavior:

[0905] "The server sends the final plan as a data packet to the device. The device receives this data and displays it in the appropriate interface within the app, where the user can view a detailed fitness and nutrition plan."

[0906] Step 6: Recording the execution and feedback

[0907] The user follows the suggested plan for exercise and diet.

[0908] Input: Exercise and diet results.

[0909] The terminal records the user's execution results and transmits them to the server.

[0910] The server stores the feedback data in a database and uses it to generate the next plan.

[0911] Output: Updated user data.

[0912] Specific behavior:

[0913] "Users follow the app's instructions for daily exercise and diet, and then enter the results into the app. For example, after a workout, they enter the results and record their diet in the app. The device then sends this data to the server, which stores it in a database and uses it to generate the next plan."

[0914] In this way, the system can comprehensively analyze the user's health information and emotional state to provide an optimal personalized health management plan, and continuously use user feedback to improve the plan and support effective health management.

[0915] (Application example 2)

[0916] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0917] Conventional health management systems typically provide plans based on a user's individual health condition and lifestyle, but do not adequately consider the user's emotional state when generating plans. Furthermore, there is a lack of means to provide users with health management plans in real time via smart devices in physical stores. As a result, users are unable to receive appropriate fitness and nutrition plans tailored to their stress and fatigue levels, preventing them from fully enjoying the benefits of these plans.

[0918] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0919] In this invention, the server includes means for collecting health-related information and emotional states input by a user, means for transmitting the collected information to the server, artificial intelligence means for analyzing the information stored in the server and generating an individual health management plan and fitness plan, and means for displaying the user's health management plan in real time via a smart device, thereby enabling the user to receive an optimal fitness and nutrition plan tailored to their health and emotional state in real time.

[0920] "Health-related information" refers to information about a user's physical condition and health goals, specifically including height, weight, age, health goals (e.g., weight loss, muscle building, etc.), and the like.

[0921] "Emotional state" refers to the user's mental state, and specifically includes information such as stress, fatigue, and happiness.

[0922] "Server" refers to a central component for receiving, storing and analyzing data sent by users.

[0923] "Artificial intelligence means" refers to algorithms that analyze collected data and generate personalized health and fitness plans.

[0924] "Health Management Plan" refers to a specific exercise and diet plan suggested to improve the user's health.

[0925] "Fitness plan" refers to a suggested exercise plan to improve a user's physical fitness and health.

[0926] "Nutrition Plan" refers to a suggested dietary plan for maintaining or improving a user's health.

[0927] "Smart device" refers to a device that allows users to interface with a system, and specifically includes smartphones, smart glasses, head-mounted displays, etc.

[0928] "Displaying in real time" refers to providing information to the user immediately.

[0929] A specific system for implementing this invention is composed of the following main components: a user terminal, a server, a database, an artificial intelligence algorithm, and an emotion analysis engine. The details of this system are described below.

[0930] User terminal

[0931] A user terminal refers to a smart device such as a smartphone, smart glasses, or a head-mounted display. The role of the terminal is to collect input information from the user and send it to the server.

[0932] Entering health-related information

[0933] Users enter their height, weight, age, and health goals (e.g., weight loss, muscle gain, etc.), and this information is used for subsequent analysis.

[0934] Lifestyle and Preference Survey

[0935] Users enter information about their daily routine, exercise preferences, dietary restrictions and allergies, which is used to generate a fitness and nutrition plan tailored to them.

[0936] Entering emotional states

[0937] The user inputs their current emotional state, such as stress, fatigue, happiness, etc. Emotional state is an important factor in adjusting the plan.

[0938] Real-time information provision

[0939] The generated health management and fitness plans are provided to the user in real time via their smart device, allowing them to receive immediate feedback.

[0940] server

[0941] The server is the central component that receives and processes data sent from user terminals.

[0942] Data collection and storage

[0943] The health-related information and emotional state submitted by the user is stored in a database for quick access later when needed.

[0944] Data analysis and plan generation

[0945] Using the stored data, artificial intelligence algorithms generate fitness and nutrition plans. Generative AI models are used to analyze the data. An emotional analysis engine adjusts the generated plans based on the user's emotional state.

[0946] Database

[0947] The database is an information management system that securely stores users' health-related information and emotional data.

[0948] Artificial intelligence algorithms and sentiment analysis engines

[0949] Artificial intelligence algorithms analyze the collected data and generate personalized fitness and nutrition plans for each user, while an emotional analysis engine analyzes the user's emotional state and adjusts the plans accordingly.

[0950] Specific examples

[0951] The user puts on the smart glasses and enters their profile information for initial registration. For example, a 28-year-old woman, 170 cm tall and weighing 65 kg, sets her goal as "building muscle." She also enters her daily exercise amount, food preferences, and allergy information, and enters "stress" as her current emotional state. This information is sent to the server and stored in a database. The server analyzes the data, and the generated plan is displayed in real time on the user's smart glasses.

[0952] Prompt Sentence Examples

[0953] User height: 170cm

[0954] Weight: 65kg

[0955] Health goal: weight loss

[0956] Lifestyle: Running three times a week

[0957] Food preference: Vegetable-based

[0958] Emotional state: Stress

[0959] Generate personalized fitness and nutrition plans.

[0960] As described above, this system allows users to receive a health management plan in real time that is optimized for their own health and emotional state.

[0961] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0962] Step 1:

[0963] Entering health-related information on user devices

[0964] A user uses a smart device (smartphone, smart glasses, etc.) to input health-related information (height, weight, health goals, etc.), lifestyle and preference information (exercise preferences, dietary restrictions, allergy information, etc.), and emotional state (stress, fatigue, happiness, etc.). The user inputs this input data through the interface of the device, and the device receives it. All collected user data is available as the output of the device.

[0965] Step 2:

[0966] Sending data to the server

[0967] The device transmits the collected user data to the server. This transmitted data includes health-related information, lifestyle and preference information, and emotional state information. The server receives the transmitted data from the device and stores it in a database. The output of the server is the data stored in the database.

[0968] Step 3:

[0969] Analyze data and generate fitness plans

[0970] The server analyzes the user data stored in the database. The analysis uses a generative AI model, and an artificial intelligence algorithm generates a health management plan and fitness plan for each user. Specifically, the server generates the following prompt sentence and inputs it into the generative AI model:

[0971] User height: 170cm

[0972] Weight: 65kg

[0973] Health goal: weight loss

[0974] Lifestyle: Running three times a week

[0975] Food preference: Vegetable-based

[0976] Emotional state: Stress

[0977] Generate personalized fitness and nutrition plans.

[0978] The output of the server is a generated personalized fitness and nutrition plan.

[0979] Step 4:

[0980] Sentiment analysis and plan adjustment

[0981] The server uses an emotion analysis engine to analyze the user's emotional state and adjusts the generated plan based on the results. For example, if the user enters "stress," exercises that promote relaxation (such as yoga or meditation) will be added to the plan. The server's output is an adjusted plan that reflects the user's emotional state.

[0982] Step 5:

[0983] Real-time plan display

[0984] The server sends the generated and adjusted plan to the user terminal, and the smart device displays the plan in real time for easy access by the user. The output of the terminal is a real-time displayed health management plan and fitness plan.

[0985] Step 6:

[0986] Gather feedback and refine your plan

[0987] The user follows the provided plan and records the results of their exercise and diet on the device. The recorded data is then sent back to the server, which then adjusts the plan based on this data. This allows for dynamic plan optimization based on feedback. The server's output is the latest health management plan that has been readjusted based on the feedback.

[0988] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0989] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0990] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0991] [Third embodiment]

[0992] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0993] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0994] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0995] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0996] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0997] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0998] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0999] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1000] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[1001] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1002] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1003] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[1004] The present invention relates to a system for generating and providing a personalized health management plan to a user. The system collects and analyzes health-related information entered by the user and provides fitness and nutrition plans based on the collected information.

[1005] System Overview

[1006] The system consists of the following main components: user terminal, server, database, and AI algorithm, each of which is explained in detail below.

[1007] User terminal

[1008] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The main roles of a user terminal are to:

[1009] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain, etc.).

[1010] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[1011] 3. Real-time tracking: Record and track the user's exercise and diet.

[1012] server

[1013] The server is the central component that receives and processes data sent from user devices. The server's responsibilities are as follows:

[1014] 1. Data collection and storage: Receive health-related information sent from user devices and store it in a database.

[1015] 2. Running AI algorithms: Run AI algorithms using the stored data to generate personalized health management plans.

[1016] 3. Plan distribution: The generated plan is sent to the user's device so that the user can view it within the app.

[1017] Database

[1018] The database is an information management system that securely stores users' health-related information and allows them to access and analyze it as needed.

[1019] AI algorithms

[1020] The AI ​​algorithm analyzes the collected data and generates a personalized fitness and nutrition plan for each user. The main responsibilities of the AI ​​algorithm are to:

[1021] 1. Data analysis: Analyze users' health information, lifestyle, and preferences to create basic data.

[1022] 2. Plan generation: Based on the analyzed data, the system generates optimal fitness and nutrition plans for each user.

[1023] 3. Incorporate feedback: Receive user feedback to refine and improve the plan.

[1024] Specific examples

[1025] Example of user A's use

[1026] 1. Initial Registration

[1027] User A installs the app, logs in, and then enters his or her profile information (e.g., height 170 cm, weight 65 kg, 32-year-old male).

[1028] 2. Goals and Lifestyle

[1029] Set your goal as "weight loss" and enter the fact that you have a sedentary job, that you jog twice a week, that you like Japanese food, and that you have no allergies.

[1030] 3. Data Transmission

[1031] The entered data is sent to the server and stored in the database.

[1032] 4. AI analysis

[1033] The server analyzes the data and generates an optimal fitness plan (e.g., 30 minutes of jogging three times a week) and nutrition plan (e.g., daily calorie limit of 1,200 kcal) for User A.

[1034] 5. Offering of Plans

[1035] The generated plan is sent to User A's device and displayed in the app.

[1036] 6. Execution and Recording

[1037] User A follows the proposed plan and records the results of their exercise and diet in the app. The recorded data is then sent back to the server and used as feedback to adjust the plan.

[1038] In this way, the system provides users with individually optimized health management plans, supporting efficient health management even in the midst of busy lifestyles.

[1039] The processing flow will be explained below.

[1040] Step 1: The user installs the app on a device such as a smartphone or tablet and launches it.

[1041] Step 2: The device displays a screen that prompts the user to enter basic health-related information such as name, age, gender, height, and weight.

[1042] Step 3: The user enters their health goals (e.g., weight loss, muscle building), exercise preferences, dietary restrictions, and allergy information.

[1043] Step 4: The terminal sends the input data, including the user's health and lifestyle information, to the server.

[1044] Step 5: The server stores the received data in a database for later analysis.

[1045] Step 6: The server's AI algorithm analyzes the user's information stored in the database and generates a fitness and nutrition plan optimized for the user's health, lifestyle, and goals.

[1046] Step 7: The server compiles the generated fitness plan and nutrition plan and sends them to the user terminal.

[1047] Step 8: The device displays the received plan in the app, allowing the user to confirm and implement it.

[1048] Step 9: The user follows the suggested fitness and dietary plan and records their results within the app.

[1049] Step 10: The device sends the recorded data back to the server, including the user's exercise results and dietary information.

[1050] Step 11: The server analyzes the received feedback data and uses AI algorithms to refine the plan and update it as needed.

[1051] Step 12: The server again transmits the updated plan to the user terminal, allowing the user to continue managing their health with the latest plan.

[1052] Example 1

[1053] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1054] Although there are many general health plans available in modern society, it is difficult to provide a plan optimized for each user's lifestyle and health condition. In addition, the lack of functionality to dynamically update plans based on user feedback makes it difficult to carry out long-term health management and efficient planning.

[1055] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1056] In this invention, the server includes means for collecting health-related information input by users, means for transmitting the collected information to the server, artificial intelligence means for analyzing the information stored in the server and generating an individual health management plan, means for providing the generated health management plan to the user, means for recording the health management results performed by the user, and means for transmitting the recorded results to the server and updating the plan based on feedback. This makes it possible to provide a plan optimized for each user's lifestyle and health condition and to dynamically update the plan based on user feedback.

[1057] "Health-related information entered by the user" refers to health-related information entered by the user through the device, such as their profile, physical data, health goals, lifestyle, dietary preferences and allergy information.

[1058] "Means for transmitting collected information to a server" refers to a function for transferring health-related information entered by a user into the device to a server via a network.

[1059] "Artificial intelligence means for analyzing information stored on the server and generating an individual health management plan" refers to the function of artificial intelligence that uses machine learning and data analysis techniques to create an optimized health management plan for each user based on user data stored on the server.

[1060] The "means for providing the generated health management plan to the user" refers to a function for transmitting the health management plan generated by the server to the user's device so that the user can view it.

[1061] "Means for recording the health management results performed by the user" refers to a function for recording on the device the results of the exercise and diet the user engaged in based on the proposed health management plan.

[1062] "Means of sending recorded results to a server and updating the plan based on feedback" refers to a function that sends the health management results recorded by the user to a server, and the AI ​​analyzes the feedback and dynamically updates the health management plan.

[1063] "Means for storing in a database" refers to the function that enables the server to safely store the received user data for a long period of time and to make it accessible as needed.

[1064] This invention relates to a system for individually optimizing a user's health management. Specifically, a system is constructed that collects and analyzes health-related information entered by the user and provides fitness and nutrition plans based on that information. The overall configuration and operation of the system are described below.

[1065] System configuration

[1066] The system consists of the following main components:

[1067] 1. User Device

[1068] 2. Server

[1069] 3. Database

[1070] 4. AI Algorithms

[1071] 1. User Device

[1072] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The main functions of a user terminal are as follows:

[1073] Entering user information

[1074] Users enter profile information into the device, such as their name, age, height, weight, and health goals, as well as information about their lifestyle, dietary preferences, and allergies.

[1075] Real-time Tracking

[1076] It provides the ability to record the fitness activities and food intake of users and collect data.

[1077] 2. Server

[1078] The server is the central component that receives and processes data sent from user devices. The server's responsibilities are as follows:

[1079] Data collection and storage

[1080] Health-related information sent from the user terminal is received and stored in a database.

[1081] Running AI algorithms

[1082] The stored data is used to run AI algorithms to generate a personalized health management plan.

[1083] Plan Delivery

[1084] The generated plan is sent to the user's device so that the user can view it within the app.

[1085] Receiving and incorporating feedback

[1086] The results of the user's fitness and dietary activities are received again, and the data is analyzed to update the plan.

[1087] 3. Database

[1088] The database is an information management system that safely stores users' health-related information and accesses and analyzes it as needed. The server stores and retrieves user data through the database and uses it for analysis.

[1089] 4. AI Algorithms

[1090] The AI ​​algorithm analyzes the collected data and generates a personalized fitness and nutrition plan for each user. The main functions of the AI ​​algorithm are:

[1091] Data analysis

[1092] Analyze users' health information, lifestyle, and preferences to create basic data.

[1093] Plan Generation

[1094] Based on the analyzed data, an optimal fitness and nutrition plan is generated for each user.

[1095] Reflecting feedback

[1096] Receive user feedback to refine and improve your plans.

[1097] Specific examples of operation

[1098] Example of user A's use

[1099] 1. Initial Registration

[1100] User A installs the app and creates an account by entering their email address and password. The registration information is sent to the server and stored in the database.

[1101] 2. Enter user information

[1102] User A enters into the app that he is a 32-year-old male, 170 cm tall and weighing 65 kg, and that he is aiming to lose weight. He also enters that he has a mostly sedentary job, jogs twice a week, likes Japanese food, and has no allergies. The data is sent to the server and stored in the database.

[1103] 3. Data analysis and health plan generation

[1104] The server retrieves User A's information from the database and inputs it into an AI algorithm. The AI ​​then generates an optimal fitness plan (e.g., 30 minutes of jogging three times a week) and nutrition plan (e.g., daily calorie limit of 1,200 kcal) for User A.

[1105] 4. Providing health plans

[1106] The generated plan is sent from the server to User A's device and displayed in the app. User A checks the plan and acts according to their fitness and nutrition goals.

[1107] 5. Execution and Recording of Results

[1108] User A jogs according to the proposed plan and records the results in the app, for example, by entering the jogging distance, time, calories burned, and food intake.

[1109] 6. Incorporating feedback

[1110] The recorded data is sent to a server, where an AI algorithm analyzes the data and updates the plan. For example, if User A wants to increase their jogging, a new plan will be proposed. This allows for more effective health management.

[1111] Prompt Sentence Examples

[1112] Here are some example prompts for a generative AI model:

[1113] "I'm a 32-year-old man, 170 cm tall and 65 kg. I want to lose weight. I have a sedentary job and jog twice a week. I like Japanese food and have no allergies. Can you recommend a fitness and nutrition plan that's right for me?"

[1114] In this way, the system provides users with individually optimized health management plans, supporting efficient health management even in the midst of busy lifestyles.

[1115] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1116] Step 1:

[1117] User Registration

[1118] How it works:

[1119] The first time a user uses the app, they create an account.

[1120] Input: Email address, password, basic profile information

[1121] Output: The user's account information is saved on the server.

[1122] Example: A user enters an email address and password to create an account. The server receives the information and stores it in a database.

[1123] Step 2:

[1124] Enter user information

[1125] How it works:

[1126] A user enters detailed health-related and lifestyle information into a terminal.

[1127] Input: Height, weight, age, gender, health goals, lifestyle, food preferences, allergy information

[1128] Output: The user's detailed health-related information is sent to the server and stored in a database.

[1129] Example: A user enters into the app that he is a 32-year-old male, 170 cm tall, weighs 65 kg, and has a goal of losing weight, and sends this information to the server.

[1130] Step 3:

[1131] Data collection and storage

[1132] How it works:

[1133] The server receives the user information sent from the terminal and stores it in a database.

[1134] Input: Health-related information received by the server from the device

[1135] Output: User information is saved in the database.

[1136] Example: The server receives data from the device, such as the user's height, weight, and health goals, and stores it in a database.

[1137] Step 4:

[1138] Data analysis and health plan generation

[1139] How it works:

[1140] The server retrieves user information from a database and uses AI algorithms to generate an individualized health management plan.

[1141] Input: User information stored in the database

[1142] Output: A personalized health plan

[1143] Example: The server inputs the user's data into an AI algorithm and generates a plan that includes jogging for 30 minutes three times a week and a daily calorie limit of 1,200 kcal.

[1144] Step 5:

[1145] Health plan offerings

[1146] How it works:

[1147] The server sends the generated health management plan to the user's device, where it can be viewed within the app.

[1148] Input: Generated health care plan

[1149] Output: Health plan sent to user's device

[1150] Example: The server sends the generated plan to the user's device, and the user opens the app to view the plan.

[1151] Step 6:

[1152] Execution and result recording

[1153] How it works:

[1154] Users implement the proposed plan and record the results within the app.

[1155] Input: Results of the user's health management (exercise, diet)

[1156] Output: Recorded data is sent to the server

[1157] Example: A user goes jogging and enters the distance, time, calories burned, and food intake into the app, which then sends the data to the server.

[1158] Step 7:

[1159] Receiving and incorporating feedback

[1160] How it works:

[1161] The server receives the data recorded by the user and updates the health management plan using AI algorithms.

[1162] Input: User-recorded health care results

[1163] Output: Updated health plan

[1164] Example: The server analyzes the user's data and suggests a new plan based on the information that will help the user to jog more, thereby enabling the user to manage their health more effectively.

[1165] (Application example 1)

[1166] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1167] In today's busy lifestyles, it is important to provide optimal health management plans for individual users. However, existing healthcare systems lack the functionality to not only generate personalized health plans, but also recommend related health products (such as supplements, health foods, and fitness equipment) and allow users to easily purchase them. As a result, users have difficulty obtaining the resources to take actual action based on the optimal plan. This may reduce the effectiveness of users' health improvements.

[1168] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1169] In this invention, the server includes means for collecting health-related information input by a user, means for transmitting the collected information to the server, artificial intelligence means for analyzing the information stored in the server and generating an individual health management plan, means for suggesting related products based on the generated health management plan, and means for enabling the user to purchase the suggested related products. This allows the user not only to receive an individual health management plan but also to easily purchase health products based on it.

[1170] "Health-related information" refers to information such as the user's weight, height, age, sex, health goals, lifestyle, and dietary restrictions.

[1171] A "server" is a computer system that receives, stores, and analyzes data sent from user terminals.

[1172] "Artificial intelligence means" is the collection of algorithms and software used to analyze collected data and generate a personalized health care plan.

[1173] "Suggesting related products" refers to recommending products (such as supplements, health foods, and fitness equipment) that will help the user achieve their health goals based on the generated health management plan.

[1174] "Purchase means" refers to an interface and functionality that allows a user to directly purchase suggested related products.

[1175] A "database" is a system for centrally managing and safely storing users' health-related information stored on a server.

[1176] A "fitness plan" is a specific exercise plan that instructs the user to achieve their health goals.

[1177] A "nutrition plan" is a specific dietary instruction for achieving a user's health goals.

[1178] In accordance with the present invention, a system for providing an individualized health care plan is implemented as follows.

[1179] System Configuration

[1180] User terminal

[1181] The user terminal is a device such as a smartphone or tablet. This terminal has the following main functions:

[1182] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain, etc.).

[1183] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[1184] 3. Real-time tracking: Record and track the user's exercise and diet.

[1185] server

[1186] The server is the central component that receives and processes data sent from user terminals. This server has the following functions:

[1187] 1. Data collection and storage: Receive health-related information sent from the user device and store it in a database.

[1188] 2. Running AI algorithms: The collected data is used to run AI algorithms to generate personalized health management plans.

[1189] 3. Plan distribution: The generated health management plan is sent to the user's device so that the user can view it within the app.

[1190] 4. Suggesting related products: Based on the generated plan, a list of related products suitable for the user is generated and suggested.

[1191] 5. Help to buy: Allow users to directly purchase suggested related products.

[1192] Database

[1193] The database is an information management system that securely stores users' health-related information and allows them to access and analyze it as needed.

[1194] Hardware and Software Used

[1195] Frontend: React Native, Expo

[1196] Backend: Node.js, Express.js

[1197] Database: MongoDB

[1198] AI algorithms: Python, TensorFlow or PyTorch

[1199] API communication: RESTful API

[1200] Program processing explanation

[1201] The server receives health-related information sent from the user's device and stores it in a database. The stored information is analyzed by an AI algorithm to generate an individual health management plan. The generated plan is sent to the user's device and displayed within the application. At the same time, related health products are suggested based on the generated plan. The user can view and purchase these suggested products within the application.

[1202] Specific examples (prompt sentence examples)

[1203] If a user sets a goal of "I want to lose 10 kg" and selects "jogging once a week" as lifestyle information, the AI ​​model will use past data to generate a fitness plan tailored to the user (jogging and strength training three times a week, Monday, Wednesday, and Friday), and provide a tailored nutrition plan (1800 kcal a day and specific supplements). Related products will also be suggested.

[1204] Example prompts to be input to the generative AI model:

[1205] User Information:

[1206] Age: 35

[1207] Gender: Male

[1208] Weight: 85kg

[1209] Height: 175cm

[1210] Health goal: Lose 10kg

[1211] Lifestyle: Jogging once a week

[1212] Dietary restrictions: None

[1213] Based on this information, the AI ​​generates optimal fitness and nutrition plans for users and suggests related products.

[1214] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1215] Step 1: Enter your user information

[1216] Users use devices such as smartphones or tablets to input their name, age, height, weight, and health goals (e.g., weight loss, muscle building, etc.). They also enter information about their lifestyle, dietary restrictions, and allergies in a questionnaire format. The input data is collected by the device.

[1217] Input: Name, age, height, weight, health goals, lifestyle, dietary restrictions, allergy information

[1218] Output: Generate user profile data

[1219] Step 2: Sending data

[1220] The terminal sends the collected user input data to the server, which receives the data and stores it in a database.

[1221] Input: User profile data

[1222] Output: Send data to server, save to database

[1223] Step 3: Save your data

[1224] The server stores user profile data in a database, which is used for further analysis.

[1225] Input: User profile data

[1226] Output: Save data to database

[1227] Step 4: Data analysis

[1228] The server retrieves the user profile data stored in the database and analyzes it using AI algorithms, which then generates a personalized health management plan (fitness plan and nutrition plan).

[1229] Input: User profile data

[1230] Output: Generate an individualized health care plan

[1231] Step 5: Deploy the plan

[1232] The server sends the generated health management plan to the user's device, where it is displayed in an application on the device. The user can then check their own health management plan.

[1233] Enter: Individual Health Care Plan

[1234] Output: Plan delivery to user device, display within app

[1235] Step 6: Suggest related products

[1236] The server generates a list of related products suitable for the user based on the generated health management plan, and transmits this list back to the user terminal.

[1237] Enter: Individual Health Care Plan

[1238] Output: Generate and deliver a list of related products

[1239] Step 7: Purchase

[1240] The user checks the related products suggested within the application and completes the purchase. The device then sends the purchase information to the server, completing the purchase.

[1241] Input: List of related products

[1242] Output: User completes purchase and sends purchase information

[1243] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1244] This invention is a system that generates and provides individualized health management plans to users, and further combines an emotion engine to provide optimal plans that take into account the user's emotional state. This system collects and analyzes health-related information entered by the user, and provides fitness and nutrition plans based on that information.

[1245] System Overview

[1246] The system consists of the following main components: user terminal, server, database, AI algorithm, and emotion engine. Each of these is explained in detail below.

[1247] User terminal

[1248] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The main roles of a user terminal are to:

[1249] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain, etc.).

[1250] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[1251] 3. Real-time tracking: Record and track the user's exercise and diet.

[1252] 4. Emotional state input: The user inputs their current emotion (e.g., stress, fatigue, happiness, etc.).

[1253] server

[1254] The server is the central component that receives and processes data sent from user devices. The server's responsibilities are as follows:

[1255] 1. Data collection and storage: Health-related information and emotion data sent from the user device are received and stored in a database.

[1256] 2. Execution of AI algorithms and emotion engines: The stored data is used to execute AI algorithms and emotion engines to generate personalized health management plans.

[1257] 3. Plan distribution: The generated plan is sent to the user's device so that the user can view it within the app.

[1258] Database

[1259] The database is an information management system that securely stores users' health-related and emotional data and allows them to access and analyze them as needed.

[1260] AI algorithms and emotion engines

[1261] The AI ​​algorithm analyzes the collected data and generates personalized fitness and nutrition plans for each user, while the emotion engine analyzes the user's emotional state and adjusts the plan accordingly. The main roles of each component are as follows:

[1262] 1. Data analysis: Analyze the user's health information, lifestyle, preferences, and emotional state to create basic data.

[1263] 2. Generate fitness and nutrition plans: Based on the analyzed data, generate optimal fitness and nutrition plans for each user.

[1264] 3. Reflecting emotional state: The emotional engine adjusts the plan based on the identified emotional state to provide advice that best suits the user's current situation.

[1265] Specific examples

[1266] Example of User B's use

[1267] 1. Initial Registration

[1268] User B installs the app, logs in, and then enters her profile information (e.g., height 165 cm, weight 60 kg, 28-year-old female).

[1269] 2. Goals and Lifestyle

[1270] Set your goal as "building muscle" and enter the following information: you do a lot of desk work on a daily basis, you go to the gym three times a week, you like Japanese food, and you have a dairy allergy.

[1271] 3. Input of emotional state

[1272] User B inputs "stress" as his current emotional state.

[1273] 4. Data Transmission

[1274] The entered data is sent to the server and stored in the database.

[1275] 5. AI analysis and sentiment analysis

[1276] The server analyzes the data and generates a fitness plan (e.g., strength training three times a week, stretching daily) and nutrition plan (e.g., high-protein diet, low-dairy) that are optimal for User B. The emotion engine takes stress levels into account and adds exercises that promote relaxation (e.g., yoga and meditation) to the plan.

[1277] 6. Offering of Plans

[1278] The generated plan is sent to User B's device and displayed in the app.

[1279] 7. Execution and Recording

[1280] User B follows the proposed plan and records the results of the exercise and diet in the app. The recorded data is then sent back to the server and used as feedback to adjust the plan.

[1281] In this way, the system provides the user with an individually optimized health management plan and further supports more effective health management by taking into account the user's emotional state.

[1282] The processing flow will be explained below.

[1283] Step 1: The user installs the app on a device such as a smartphone or tablet and launches it.

[1284] Step 2: The device displays a screen that prompts the user to enter basic health-related information such as name, age, gender, height, and weight.

[1285] Step 3: The user enters their health goals (e.g., weight loss, muscle building), exercise preferences, dietary restrictions, and allergy information.

[1286] Step 4: The terminal displays a screen that prompts the user to input their current emotional state (e.g., stress, fatigue, happiness, etc.).

[1287] Step 5: The user inputs their current emotional state.

[1288] Step 6: The terminal sends all the input data to the server, including the user's health, lifestyle and emotional information.

[1289] Step 7: The server stores the received data in a database for later analysis.

[1290] Step 8: The server's AI algorithm analyzes the user's health, lifestyle, and emotional information stored in the database and generates a fitness and nutrition plan optimized for the user's health, lifestyle, and goals.

[1291] Step 9: The server's emotion engine adjusts the fitness and nutrition plan based on the user's emotional state. For example, if the user is feeling stressed, it adds exercises that promote relaxation (e.g., yoga or meditation).

[1292] Step 10: The server compiles the generated and adjusted fitness plan and nutrition plan and sends it to the user terminal.

[1293] Step 11: The device displays the received plan in the app, allowing the user to confirm and implement it.

[1294] Step 12: The user follows the suggested fitness and dietary plan and records the results within the app.

[1295] Step 13: The device sends the recorded data back to the server, including the user's exercise results, dietary details, and emotional state.

[1296] Step 14: The server analyzes the received feedback data and uses AI algorithms and emotion engines to refine the plan and update it as needed.

[1297] Step 15: The server again transmits the updated plan to the user terminal, allowing the user to continue managing their health with the latest plan.

[1298] Example 2

[1299] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1300] Conventional health management systems provide plans based solely on the user's health information, making it impossible to provide individually optimized plans that take into account the user's emotional state. Furthermore, they lacked a method for effectively utilizing user feedback to continuously improve plans. This made it difficult to maximize user satisfaction and the effectiveness of health management.

[1301] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for collecting health-related information and emotional state input by the user, means for transmitting the collected information to the server, artificial intelligence means and emotion engine means for analyzing the information stored in the server and generating an individual health management plan, and means for providing the generated health management plan to the user. This makes it possible to comprehensively analyze the user's health information and emotional state, provide an individually optimized plan, and continuously improve the plan by effectively utilizing feedback.

[1302] "User" refers to an individual who utilizes the system and inputs their health-related information and emotional state.

[1303] "Health-related information" refers to physiological and lifestyle data such as a user's height, weight, age, lifestyle, exercise preferences, dietary restrictions, and allergy information.

[1304] "Emotional state" refers to the psychological state, such as stress, fatigue, or happiness, that the user is currently experiencing.

[1305] "Means for collecting" refers to a combination of hardware and software for obtaining user-entered health-related information and emotional state.

[1306] "Server" refers to a computer system that receives, stores, and analyzes data sent from a user, generates a health management plan, and sends it back to the user.

[1307] "Artificial Intelligence Means" refers to algorithms and techniques for analyzing a user's health-related information and generating personalized fitness and nutrition plans.

[1308] "Emotion engine means" refers to algorithms and techniques for analyzing a user's emotional state and adjusting a healthcare plan accordingly.

[1309] "Database" refers to an information management system for securely storing a User's health-related information and emotional state so that it can be accessed and analyzed as needed.

[1310] "Health Management Plan" refers to specific exercise and nutrition instructions and advice generated based on a user's health goals and emotional state.

[1311] "Feedback" refers to data that is used to help generate the next health management plan by reporting the results of the user's exercise and diet to the system.

[1312] This invention is a system that generates and provides personalized health management plans to users, and further combines an emotional engine to provide optimal plans that take into account the user's emotional state. This system collects and analyzes health-related information and emotional state entered by the user, and provides fitness and nutrition plans based on that information. Specifically, it includes the following components:

[1313] User terminal

[1314] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The terminal has the following main functions:

[1315] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain).

[1316] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[1317] 3. Real-time tracking: Record and track the user's exercise and diet.

[1318] 4. Emotional state input: The user inputs their current emotion (e.g., stress, fatigue, happiness).

[1319] server

[1320] The server is the central component that receives and processes data sent from user terminals. The server has the following main functions:

[1321] 1. Data collection and storage: Health-related information and emotion data sent from the user device are received and stored in a database.

[1322] 2. Execution of AI algorithm and emotion engine: The stored data is used to execute the AI ​​algorithm and emotion engine to generate a personalized health management plan. The AI ​​algorithm analyzes health-related information to generate fitness and nutrition plans. The emotion engine then analyzes the emotion data and adjusts the plan based on the user's emotional state.

[1323] 3. Plan distribution: The generated plan is sent to the user's device so that the user can view it within the app.

[1324] Database

[1325] The database is an information management system that securely stores users' health-related and emotional data and allows them to access and analyze them as needed.

[1326] AI algorithms and emotion engines

[1327] AI algorithms analyze the collected data and generate personalized fitness and nutrition plans for each user, while an emotional engine analyzes the user's emotional state and adjusts the plan accordingly.

[1328] Specific examples

[1329] As an example of user B's use, the system operates in the following steps:

[1330] 1. Initial Registration

[1331] User B installs the app, logs in, and then enters her profile information (e.g., height 165 cm, weight 60 kg, 28-year-old female).

[1332] 2. Goals and Lifestyle

[1333] Set your goal as "building muscle" and enter the following information: you do a lot of desk work on a daily basis, you go to the gym three times a week, you like Japanese food, and you have a dairy allergy.

[1334] 3. Input of emotional state

[1335] User B inputs "stress" as his current emotional state.

[1336] 4. Data Transmission

[1337] The entered data is sent to the server and stored in the database.

[1338] 5. AI analysis and sentiment analysis

[1339] The server analyzes the data and generates a fitness plan (e.g., strength training three times a week, stretching daily) and a nutrition plan (e.g., high-protein diet, low-dairy) that are optimal for User B. The emotion engine takes stress levels into account and adds exercises that promote relaxation (e.g., yoga and meditation) to the plan.

[1340] 6. Offering of Plans

[1341] The generated plan is sent to User B's device and displayed in the app.

[1342] 7. Execution and Recording

[1343] User B follows the proposed plan and records the results of the exercise and diet in the app. The recorded data is then sent back to the server and used as feedback to adjust the plan.

[1344] Prompt Sentence Examples

[1345] 1. User information prompt:

[1346] Enter your height, weight and age.

[1347] 2. Health Goal Setting Prompt:

[1348] Choose your health goal (e.g., weight loss, muscle gain).

[1349] 3. Lifestyle and Preference Survey Prompts:

[1350] Enter your daily routine, exercise preferences, dietary restrictions and allergy information.

[1351] 4. Emotional state input prompt:

[1352] Please describe your current emotional state (e.g., stressed, tired, happy).

[1353] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1354] Step 1: Enter your user information

[1355] Users install the app, enter their basic information (name, age, height, weight, etc.) and health goals, and then answer a questionnaire about their lifestyle, food preferences, and allergy information.

[1356] Input: Name, age, height, weight, health goals, lifestyle information, dietary preferences, allergy information, etc.

[1357] The terminal temporarily stores the input data and prepares to send it to the next step.

[1358] Output: User information data packet.

[1359] Specific behavior:

[1360] "The user opens the app and follows the on-screen instructions to fill in each field. For example, they enter their name, select their age, then enter their height and weight. Then, they select "muscle building" as their "health goal," and fill in details about their lifestyle and diet in a questionnaire format."

[1361] Step 2: Data transmission and storage

[1362] The terminal transmits the information entered by the user to the server.

[1363] The server stores the received data in a database.

[1364] Input: User information data packet.

[1365] Output: User information stored in the database.

[1366] Specific behavior:

[1367] "The device sends a data packet to the server. The server receives the data and stores it in a database. After storing it, the server returns a data reception confirmation to the device."

[1368] Step 3: Enter your emotional state

[1369] The user inputs their current emotional state (e.g., stress, fatigue, happiness, etc.).

[1370] Input: Emotional state data.

[1371] The terminal transmits the input emotional state data to the server.

[1372] Output: Emotional state data packet.

[1373] Specific behavior:

[1374] "The user opens the 'Current Emotional State' interface on the app, selects their current emotion from the options, for example, selects 'Stress', and presses the save button. The device then sends this data to the server."

[1375] Step 4: AI analysis and sentiment analysis

[1376] The server reads user information from a database and runs AI algorithms and emotion engines.

[1377] Input: User information data, emotional state data.

[1378] The server generates fitness and nutrition plans using AI algorithms and adjusts the plans using an emotion engine.

[1379] Output: A personalized health care plan.

[1380] Specific behavior:

[1381] "The server loads all of the user's data from the database and inputs it into an AI algorithm. The algorithm generates a fitness plan based on the user's health goals and lifestyle. An emotion engine then adjusts the plan to take into account the user's emotional state and creates the final plan."

[1382] Step 5: Deploy and view your plan

[1383] The server transmits the generated health management plan to the user terminal.

[1384] The terminal displays the received plan to the user.

[1385] Input: The generated health care plan.

[1386] Output: The healthcare plan displayed to the user.

[1387] Specific behavior:

[1388] "The server sends the final plan as a data packet to the device. The device receives this data and displays it in the appropriate interface within the app, where the user can view a detailed fitness and nutrition plan."

[1389] Step 6: Recording the execution and feedback

[1390] The user follows the suggested plan for exercise and diet.

[1391] Input: Exercise and diet results.

[1392] The terminal records the user's execution results and transmits them to the server.

[1393] The server stores the feedback data in a database and uses it to generate the next plan.

[1394] Output: Updated user data.

[1395] Specific behavior:

[1396] "Users follow the app's instructions for daily exercise and diet, and then enter the results into the app. For example, after a workout, they enter the results and record their diet in the app. The device then sends this data to the server, which stores it in a database and uses it to generate the next plan."

[1397] In this way, the system can comprehensively analyze the user's health information and emotional state to provide an optimal personalized health management plan, and continuously use user feedback to improve the plan and support effective health management.

[1398] (Application example 2)

[1399] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1400] Conventional health management systems typically provide plans based on a user's individual health condition and lifestyle, but do not adequately consider the user's emotional state when generating plans. Furthermore, there is a lack of means to provide users with health management plans in real time via smart devices in physical stores. As a result, users are unable to receive appropriate fitness and nutrition plans tailored to their stress and fatigue levels, preventing them from fully enjoying the benefits of these plans.

[1401] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1402] In this invention, the server includes means for collecting health-related information and emotional states input by a user, means for transmitting the collected information to the server, artificial intelligence means for analyzing the information stored in the server and generating an individual health management plan and fitness plan, and means for displaying the user's health management plan in real time via a smart device, thereby enabling the user to receive an optimal fitness and nutrition plan tailored to their health and emotional state in real time.

[1403] "Health-related information" refers to information about a user's physical condition and health goals, specifically including height, weight, age, health goals (e.g., weight loss, muscle building, etc.), and the like.

[1404] "Emotional state" refers to the user's mental state, and specifically includes information such as stress, fatigue, and happiness.

[1405] "Server" refers to a central component for receiving, storing and analyzing data sent by users.

[1406] "Artificial intelligence means" refers to algorithms that analyze collected data and generate personalized health and fitness plans.

[1407] "Health Management Plan" refers to a specific exercise and diet plan suggested to improve the user's health.

[1408] "Fitness plan" refers to a suggested exercise plan to improve a user's physical fitness and health.

[1409] "Nutrition Plan" refers to a suggested dietary plan for maintaining or improving a user's health.

[1410] "Smart device" refers to a device that allows users to interface with a system, and specifically includes smartphones, smart glasses, head-mounted displays, etc.

[1411] "Displaying in real time" refers to providing information to the user immediately.

[1412] A specific system for implementing this invention is composed of the following main components: a user terminal, a server, a database, an artificial intelligence algorithm, and an emotion analysis engine. The details of this system are described below.

[1413] User terminal

[1414] A user terminal refers to a smart device such as a smartphone, smart glasses, or a head-mounted display. The role of the terminal is to collect input information from the user and send it to the server.

[1415] Entering health-related information

[1416] Users enter their height, weight, age, and health goals (e.g., weight loss, muscle gain, etc.), and this information is used for subsequent analysis.

[1417] Lifestyle and Preference Survey

[1418] Users enter information about their daily routine, exercise preferences, dietary restrictions and allergies, which is used to generate a fitness and nutrition plan tailored to them.

[1419] Entering emotional states

[1420] The user inputs their current emotional state, such as stress, fatigue, happiness, etc. Emotional state is an important factor in adjusting the plan.

[1421] Real-time information provision

[1422] The generated health management and fitness plans are provided to the user in real time via their smart device, allowing them to receive immediate feedback.

[1423] server

[1424] The server is the central component that receives and processes data sent from user terminals.

[1425] Data collection and storage

[1426] The health-related information and emotional state submitted by the user is stored in a database for quick access later when needed.

[1427] Data analysis and plan generation

[1428] Using the stored data, artificial intelligence algorithms generate fitness and nutrition plans. Generative AI models are used to analyze the data. An emotional analysis engine adjusts the generated plans based on the user's emotional state.

[1429] Database

[1430] The database is an information management system that securely stores users' health-related information and emotional data.

[1431] Artificial intelligence algorithms and sentiment analysis engines

[1432] Artificial intelligence algorithms analyze the collected data and generate personalized fitness and nutrition plans for each user, while an emotional analysis engine analyzes the user's emotional state and adjusts the plans accordingly.

[1433] Specific examples

[1434] The user puts on the smart glasses and enters their profile information for initial registration. For example, a 28-year-old woman, 170 cm tall and weighing 65 kg, sets her goal as "building muscle." She also enters her daily exercise amount, food preferences, and allergy information, and enters "stress" as her current emotional state. This information is sent to the server and stored in a database. The server analyzes the data, and the generated plan is displayed in real time on the user's smart glasses.

[1435] Prompt Sentence Examples

[1436] User height: 170cm

[1437] Weight: 65kg

[1438] Health goal: weight loss

[1439] Lifestyle: Running three times a week

[1440] Food preference: Vegetable-based

[1441] Emotional state: Stress

[1442] Generate personalized fitness and nutrition plans.

[1443] As described above, this system allows users to receive a health management plan in real time that is optimized for their own health and emotional state.

[1444] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1445] Step 1:

[1446] Entering health-related information on user devices

[1447] A user uses a smart device (smartphone, smart glasses, etc.) to input health-related information (height, weight, health goals, etc.), lifestyle and preference information (exercise preferences, dietary restrictions, allergy information, etc.), and emotional state (stress, fatigue, happiness, etc.). The user inputs this input data through the interface of the device, and the device receives it. All collected user data is available as the output of the device.

[1448] Step 2:

[1449] Sending data to the server

[1450] The device transmits the collected user data to the server. This transmitted data includes health-related information, lifestyle and preference information, and emotional state information. The server receives the transmitted data from the device and stores it in a database. The output of the server is the data stored in the database.

[1451] Step 3:

[1452] Analyze data and generate fitness plans

[1453] The server analyzes the user data stored in the database. The analysis uses a generative AI model, and an artificial intelligence algorithm generates a health management plan and fitness plan for each user. Specifically, the server generates the following prompt sentence and inputs it into the generative AI model:

[1454] User height: 170cm

[1455] Weight: 65kg

[1456] Health goal: weight loss

[1457] Lifestyle: Running three times a week

[1458] Food preference: Vegetable-based

[1459] Emotional state: Stress

[1460] Generate personalized fitness and nutrition plans.

[1461] The output of the server is a generated personalized fitness and nutrition plan.

[1462] Step 4:

[1463] Sentiment analysis and plan adjustment

[1464] The server uses an emotion analysis engine to analyze the user's emotional state and adjusts the generated plan based on the results. For example, if the user enters "stress," exercises that promote relaxation (such as yoga or meditation) will be added to the plan. The server's output is an adjusted plan that reflects the user's emotional state.

[1465] Step 5:

[1466] Real-time plan display

[1467] The server sends the generated and adjusted plan to the user terminal, and the smart device displays the plan in real time for easy access by the user. The output of the terminal is a real-time displayed health management plan and fitness plan.

[1468] Step 6:

[1469] Gather feedback and refine your plan

[1470] The user follows the provided plan and records the results of their exercise and diet on the device. The recorded data is then sent back to the server, which then adjusts the plan based on this data. This allows for dynamic plan optimization based on feedback. The server's output is the latest health management plan that has been readjusted based on the feedback.

[1471] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1472] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1473] 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 the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1474] [Fourth embodiment]

[1475] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1476] 7, a 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.

[1477] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1478] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1479] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1480] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1481] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1482] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1483] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1484] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[1485] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1486] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1487] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1488] The present invention relates to a system for generating and providing a personalized health management plan to a user. The system collects and analyzes health-related information entered by the user and provides fitness and nutrition plans based on the collected information.

[1489] System Overview

[1490] The system consists of the following main components: user terminal, server, database, and AI algorithm, each of which is explained in detail below.

[1491] User terminal

[1492] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The main roles of a user terminal are to:

[1493] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain, etc.).

[1494] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[1495] 3. Real-time tracking: Record and track the user's exercise and diet.

[1496] server

[1497] The server is the central component that receives and processes data sent from user devices. The server's responsibilities are as follows:

[1498] 1. Data collection and storage: Receive health-related information sent from user devices and store it in a database.

[1499] 2. Running AI algorithms: Run AI algorithms using the stored data to generate personalized health management plans.

[1500] 3. Plan distribution: The generated plan is sent to the user's device so that the user can view it within the app.

[1501] Database

[1502] The database is an information management system that securely stores users' health-related information and allows them to access and analyze it as needed.

[1503] AI algorithms

[1504] The AI ​​algorithm analyzes the collected data and generates a personalized fitness and nutrition plan for each user. The main responsibilities of the AI ​​algorithm are to:

[1505] 1. Data analysis: Analyze users' health information, lifestyle, and preferences to create basic data.

[1506] 2. Plan generation: Based on the analyzed data, the system generates optimal fitness and nutrition plans for each user.

[1507] 3. Incorporate feedback: Receive user feedback to refine and improve the plan.

[1508] Specific examples

[1509] Example of user A's use

[1510] 1. Initial Registration

[1511] User A installs the app, logs in, and then enters his or her profile information (e.g., height 170 cm, weight 65 kg, 32-year-old male).

[1512] 2. Goals and Lifestyle

[1513] Set your goal as "weight loss" and enter the fact that you have a sedentary job, that you jog twice a week, that you like Japanese food, and that you have no allergies.

[1514] 3. Data Transmission

[1515] The entered data is sent to the server and stored in the database.

[1516] 4. AI analysis

[1517] The server analyzes the data and generates an optimal fitness plan (e.g., 30 minutes of jogging three times a week) and nutrition plan (e.g., daily calorie limit of 1,200 kcal) for User A.

[1518] 5. Offering of Plans

[1519] The generated plan is sent to User A's device and displayed in the app.

[1520] 6. Execution and Recording

[1521] User A follows the proposed plan and records the results of their exercise and diet in the app. The recorded data is then sent back to the server and used as feedback to adjust the plan.

[1522] In this way, the system provides users with individually optimized health management plans, supporting efficient health management even in the midst of busy lifestyles.

[1523] The processing flow will be explained below.

[1524] Step 1: The user installs the app on a device such as a smartphone or tablet and launches it.

[1525] Step 2: The device displays a screen that prompts the user to enter basic health-related information such as name, age, gender, height, and weight.

[1526] Step 3: The user enters their health goals (e.g., weight loss, muscle building), exercise preferences, dietary restrictions, and allergy information.

[1527] Step 4: The terminal sends the input data, including the user's health and lifestyle information, to the server.

[1528] Step 5: The server stores the received data in a database for later analysis.

[1529] Step 6: The server's AI algorithm analyzes the user's information stored in the database and generates a fitness and nutrition plan optimized for the user's health, lifestyle, and goals.

[1530] Step 7: The server compiles the generated fitness plan and nutrition plan and sends them to the user terminal.

[1531] Step 8: The device displays the received plan in the app, allowing the user to confirm and implement it.

[1532] Step 9: The user follows the suggested fitness and dietary plan and records their results within the app.

[1533] Step 10: The device sends the recorded data back to the server, including the user's exercise results and dietary information.

[1534] Step 11: The server analyzes the received feedback data and uses AI algorithms to refine the plan and update it as needed.

[1535] Step 12: The server again transmits the updated plan to the user terminal, allowing the user to continue managing their health with the latest plan.

[1536] Example 1

[1537] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1538] Although there are many general health plans available in modern society, it is difficult to provide a plan optimized for each user's lifestyle and health condition. In addition, the lack of functionality to dynamically update plans based on user feedback makes it difficult to carry out long-term health management and efficient planning.

[1539] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1540] In this invention, the server includes means for collecting health-related information input by users, means for transmitting the collected information to the server, artificial intelligence means for analyzing the information stored in the server and generating an individual health management plan, means for providing the generated health management plan to the user, means for recording the health management results performed by the user, and means for transmitting the recorded results to the server and updating the plan based on feedback. This makes it possible to provide a plan optimized for each user's lifestyle and health condition and to dynamically update the plan based on user feedback.

[1541] "Health-related information entered by the user" refers to health-related information entered by the user through the device, such as their profile, physical data, health goals, lifestyle, dietary preferences and allergy information.

[1542] "Means for transmitting collected information to a server" refers to a function for transferring health-related information entered by a user into the device to a server via a network.

[1543] "Artificial intelligence means for analyzing information stored on the server and generating an individual health management plan" refers to the function of artificial intelligence that uses machine learning and data analysis techniques to create an optimized health management plan for each user based on user data stored on the server.

[1544] The "means for providing the generated health management plan to the user" refers to a function for transmitting the health management plan generated by the server to the user's device so that the user can view it.

[1545] "Means for recording the health management results performed by the user" refers to a function for recording on the device the results of the exercise and diet the user engaged in based on the proposed health management plan.

[1546] "Means of sending recorded results to a server and updating the plan based on feedback" refers to a function that sends the health management results recorded by the user to a server, and the AI ​​analyzes the feedback and dynamically updates the health management plan.

[1547] "Means for storing in a database" refers to the function that enables the server to safely store the received user data for a long period of time and to make it accessible as needed.

[1548] This invention relates to a system for individually optimizing a user's health management. Specifically, a system is constructed that collects and analyzes health-related information entered by the user and provides fitness and nutrition plans based on that information. The overall configuration and operation of the system are described below.

[1549] System configuration

[1550] The system consists of the following main components:

[1551] 1. User Device

[1552] 2. Server

[1553] 3. Database

[1554] 4. AI Algorithms

[1555] 1. User Device

[1556] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The main functions of a user terminal are as follows:

[1557] Entering user information

[1558] Users enter profile information into the device, such as their name, age, height, weight, and health goals, as well as information about their lifestyle, dietary preferences, and allergies.

[1559] Real-time Tracking

[1560] It provides the ability to record the fitness activities and food intake of users and collect data.

[1561] 2. Server

[1562] The server is the central component that receives and processes data sent from user devices. The server's responsibilities are as follows:

[1563] Data collection and storage

[1564] Health-related information sent from the user terminal is received and stored in a database.

[1565] Running AI algorithms

[1566] The stored data is used to run AI algorithms to generate a personalized health management plan.

[1567] Plan Delivery

[1568] The generated plan is sent to the user's device so that the user can view it within the app.

[1569] Receiving and incorporating feedback

[1570] The results of the user's fitness and dietary activities are received again, and the data is analyzed to update the plan.

[1571] 3. Database

[1572] The database is an information management system that safely stores users' health-related information and accesses and analyzes it as needed. The server stores and retrieves user data through the database and uses it for analysis.

[1573] 4. AI Algorithms

[1574] The AI ​​algorithm analyzes the collected data and generates a personalized fitness and nutrition plan for each user. The main functions of the AI ​​algorithm are:

[1575] Data analysis

[1576] Analyze users' health information, lifestyle, and preferences to create basic data.

[1577] Plan Generation

[1578] Based on the analyzed data, an optimal fitness and nutrition plan is generated for each user.

[1579] Reflecting feedback

[1580] Receive user feedback to refine and improve your plans.

[1581] Specific examples of operation

[1582] Example of user A's use

[1583] 1. Initial Registration

[1584] User A installs the app and creates an account by entering their email address and password. The registration information is sent to the server and stored in the database.

[1585] 2. Enter user information

[1586] User A enters into the app that he is a 32-year-old male, 170 cm tall and weighing 65 kg, and that he is aiming to lose weight. He also enters that he has a mostly sedentary job, jogs twice a week, likes Japanese food, and has no allergies. The data is sent to the server and stored in the database.

[1587] 3. Data analysis and health plan generation

[1588] The server retrieves User A's information from the database and inputs it into an AI algorithm. The AI ​​then generates an optimal fitness plan (e.g., 30 minutes of jogging three times a week) and nutrition plan (e.g., daily calorie limit of 1,200 kcal) for User A.

[1589] 4. Providing health plans

[1590] The generated plan is sent from the server to User A's device and displayed in the app. User A checks the plan and acts according to their fitness and nutrition goals.

[1591] 5. Execution and Recording of Results

[1592] User A jogs according to the proposed plan and records the results in the app, for example, by entering the jogging distance, time, calories burned, and food intake.

[1593] 6. Incorporating feedback

[1594] The recorded data is sent to a server, where an AI algorithm analyzes the data and updates the plan. For example, if User A wants to increase their jogging, a new plan will be proposed. This allows for more effective health management.

[1595] Prompt Sentence Examples

[1596] Here are some example prompts for a generative AI model:

[1597] "I'm a 32-year-old man, 170 cm tall and 65 kg. I want to lose weight. I have a sedentary job and jog twice a week. I like Japanese food and have no allergies. Can you recommend a fitness and nutrition plan that's right for me?"

[1598] In this way, the system provides users with individually optimized health management plans, supporting efficient health management even in the midst of busy lifestyles.

[1599] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1600] Step 1:

[1601] User Registration

[1602] How it works:

[1603] The first time a user uses the app, they create an account.

[1604] Input: Email address, password, basic profile information

[1605] Output: The user's account information is saved on the server.

[1606] Example: A user enters an email address and password to create an account. The server receives the information and stores it in a database.

[1607] Step 2:

[1608] Enter user information

[1609] How it works:

[1610] A user enters detailed health-related and lifestyle information into a terminal.

[1611] Input: Height, weight, age, gender, health goals, lifestyle, food preferences, allergy information

[1612] Output: The user's detailed health-related information is sent to the server and stored in a database.

[1613] Example: A user enters into the app that he is a 32-year-old male, 170 cm tall, weighs 65 kg, and has a goal of losing weight, and sends this information to the server.

[1614] Step 3:

[1615] Data collection and storage

[1616] How it works:

[1617] The server receives the user information sent from the terminal and stores it in a database.

[1618] Input: Health-related information received by the server from the device

[1619] Output: User information is saved in the database.

[1620] Example: The server receives data from the device, such as the user's height, weight, and health goals, and stores it in a database.

[1621] Step 4:

[1622] Data analysis and health plan generation

[1623] How it works:

[1624] The server retrieves user information from a database and uses AI algorithms to generate an individualized health management plan.

[1625] Input: User information stored in the database

[1626] Output: A personalized health plan

[1627] Example: The server inputs the user's data into an AI algorithm and generates a plan that includes jogging for 30 minutes three times a week and a daily calorie limit of 1,200 kcal.

[1628] Step 5:

[1629] Health plan offerings

[1630] How it works:

[1631] The server sends the generated health management plan to the user's device, where it can be viewed within the app.

[1632] Input: Generated health care plan

[1633] Output: Health plan sent to user's device

[1634] Example: The server sends the generated plan to the user's device, and the user opens the app to view the plan.

[1635] Step 6:

[1636] Execution and result recording

[1637] How it works:

[1638] Users implement the proposed plan and record the results within the app.

[1639] Input: Results of the user's health management (exercise, diet)

[1640] Output: Recorded data is sent to the server

[1641] Example: A user goes jogging and enters the distance, time, calories burned, and food intake into the app, which then sends the data to the server.

[1642] Step 7:

[1643] Receiving and incorporating feedback

[1644] How it works:

[1645] The server receives the data recorded by the user and updates the health management plan using AI algorithms.

[1646] Input: User-recorded health care results

[1647] Output: Updated health plan

[1648] Example: The server analyzes the user's data and suggests a new plan based on the information that will help the user to jog more, thereby enabling the user to manage their health more effectively.

[1649] (Application example 1)

[1650] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1651] In today's busy lifestyles, it is important to provide optimal health management plans for individual users. However, existing healthcare systems lack the functionality to not only generate personalized health plans, but also recommend related health products (such as supplements, health foods, and fitness equipment) and allow users to easily purchase them. As a result, users have difficulty obtaining the resources to take actual action based on the optimal plan. This may reduce the effectiveness of users' health improvements.

[1652] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1653] In this invention, the server includes means for collecting health-related information input by a user, means for transmitting the collected information to the server, artificial intelligence means for analyzing the information stored in the server and generating an individual health management plan, means for suggesting related products based on the generated health management plan, and means for enabling the user to purchase the suggested related products. This allows the user not only to receive an individual health management plan but also to easily purchase health products based on it.

[1654] "Health-related information" refers to information such as the user's weight, height, age, sex, health goals, lifestyle, and dietary restrictions.

[1655] A "server" is a computer system that receives, stores, and analyzes data sent from user terminals.

[1656] "Artificial intelligence means" is the collection of algorithms and software used to analyze collected data and generate a personalized health care plan.

[1657] "Suggesting related products" refers to recommending products (such as supplements, health foods, and fitness equipment) that will help the user achieve their health goals based on the generated health management plan.

[1658] "Purchase means" refers to an interface and functionality that allows a user to directly purchase suggested related products.

[1659] A "database" is a system for centrally managing and safely storing users' health-related information stored on a server.

[1660] A "fitness plan" is a specific exercise plan that instructs the user to achieve their health goals.

[1661] A "nutrition plan" is a specific dietary instruction for achieving a user's health goals.

[1662] In accordance with the present invention, a system for providing an individualized health care plan is implemented as follows.

[1663] System Configuration

[1664] User terminal

[1665] The user terminal is a device such as a smartphone or tablet. This terminal has the following main functions:

[1666] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain, etc.).

[1667] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[1668] 3. Real-time tracking: Record and track the user's exercise and diet.

[1669] server

[1670] The server is the central component that receives and processes data sent from user terminals. This server has the following functions:

[1671] 1. Data collection and storage: Receive health-related information sent from the user device and store it in a database.

[1672] 2. Running AI algorithms: The collected data is used to run AI algorithms to generate personalized health management plans.

[1673] 3. Plan distribution: The generated health management plan is sent to the user's device so that the user can view it within the app.

[1674] 4. Suggesting related products: Based on the generated plan, a list of related products suitable for the user is generated and suggested.

[1675] 5. Help to buy: Allow users to directly purchase suggested related products.

[1676] Database

[1677] The database is an information management system that securely stores users' health-related information and allows them to access and analyze it as needed.

[1678] Hardware and Software Used

[1679] Frontend: React Native, Expo

[1680] Backend: Node.js, Express.js

[1681] Database: MongoDB

[1682] AI algorithms: Python, TensorFlow or PyTorch

[1683] API communication: RESTful API

[1684] Program processing explanation

[1685] The server receives health-related information sent from the user's device and stores it in a database. The stored information is analyzed by an AI algorithm to generate an individual health management plan. The generated plan is sent to the user's device and displayed within the application. At the same time, related health products are suggested based on the generated plan. The user can view and purchase these suggested products within the application.

[1686] Specific examples (prompt sentence examples)

[1687] If a user sets a goal of "I want to lose 10 kg" and selects "jogging once a week" as lifestyle information, the AI ​​model will use past data to generate a fitness plan tailored to the user (jogging and strength training three times a week, Monday, Wednesday, and Friday), and provide a tailored nutrition plan (1800 kcal a day and specific supplements). Related products will also be suggested.

[1688] Example prompts to be input to the generative AI model:

[1689] User Information:

[1690] Age: 35

[1691] Gender: Male

[1692] Weight: 85kg

[1693] Height: 175cm

[1694] Health goal: Lose 10kg

[1695] Lifestyle: Jogging once a week

[1696] Dietary restrictions: None

[1697] Based on this information, the AI ​​generates optimal fitness and nutrition plans for users and suggests related products.

[1698] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1699] Step 1: Enter your user information

[1700] Users use devices such as smartphones or tablets to input their name, age, height, weight, and health goals (e.g., weight loss, muscle building, etc.). They also enter information about their lifestyle, dietary restrictions, and allergies in a questionnaire format. The input data is collected by the device.

[1701] Input: Name, age, height, weight, health goals, lifestyle, dietary restrictions, allergy information

[1702] Output: Generate user profile data

[1703] Step 2: Sending data

[1704] The terminal sends the collected user input data to the server, which receives the data and stores it in a database.

[1705] Input: User profile data

[1706] Output: Send data to server, save to database

[1707] Step 3: Save your data

[1708] The server stores user profile data in a database, which is used for further analysis.

[1709] Input: User profile data

[1710] Output: Save data to database

[1711] Step 4: Data analysis

[1712] The server retrieves the user profile data stored in the database and analyzes it using AI algorithms, which then generates a personalized health management plan (fitness plan and nutrition plan).

[1713] Input: User profile data

[1714] Output: Generate an individualized health care plan

[1715] Step 5: Deploy the plan

[1716] The server sends the generated health management plan to the user's device, where it is displayed in an application on the device. The user can then check their own health management plan.

[1717] Enter: Individual Health Care Plan

[1718] Output: Plan delivery to user device, display within app

[1719] Step 6: Suggest related products

[1720] The server generates a list of related products suitable for the user based on the generated health management plan, and transmits this list back to the user terminal.

[1721] Enter: Individual Health Care Plan

[1722] Output: Generate and deliver a list of related products

[1723] Step 7: Purchase

[1724] The user checks the related products suggested within the application and completes the purchase. The device then sends the purchase information to the server, completing the purchase.

[1725] Input: List of related products

[1726] Output: User completes purchase and sends purchase information

[1727] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1728] This invention is a system that generates and provides individualized health management plans to users, and further combines an emotion engine to provide optimal plans that take into account the user's emotional state. This system collects and analyzes health-related information entered by the user, and provides fitness and nutrition plans based on that information.

[1729] System Overview

[1730] The system consists of the following main components: user terminal, server, database, AI algorithm, and emotion engine. Each of these is explained in detail below.

[1731] User terminal

[1732] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The main roles of a user terminal are to:

[1733] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain, etc.).

[1734] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[1735] 3. Real-time tracking: Record and track the user's exercise and diet.

[1736] 4. Emotional state input: The user inputs their current emotion (e.g., stress, fatigue, happiness, etc.).

[1737] server

[1738] The server is the central component that receives and processes data sent from user devices. The server's responsibilities are as follows:

[1739] 1. Data collection and storage: Health-related information and emotion data sent from the user device are received and stored in a database.

[1740] 2. Execution of AI algorithms and emotion engines: The stored data is used to execute AI algorithms and emotion engines to generate personalized health management plans.

[1741] 3. Plan distribution: The generated plan is sent to the user's device so that the user can view it within the app.

[1742] Database

[1743] The database is an information management system that securely stores users' health-related and emotional data and allows them to access and analyze them as needed.

[1744] AI algorithms and emotion engines

[1745] The AI ​​algorithm analyzes the collected data and generates personalized fitness and nutrition plans for each user, while the emotion engine analyzes the user's emotional state and adjusts the plan accordingly. The main roles of each component are as follows:

[1746] 1. Data analysis: Analyze the user's health information, lifestyle, preferences, and emotional state to create basic data.

[1747] 2. Generate fitness and nutrition plans: Based on the analyzed data, generate optimal fitness and nutrition plans for each user.

[1748] 3. Reflecting emotional state: The emotional engine adjusts the plan based on the identified emotional state to provide advice that best suits the user's current situation.

[1749] Specific examples

[1750] Example of User B's use

[1751] 1. Initial Registration

[1752] User B installs the app, logs in, and then enters her profile information (e.g., height 165 cm, weight 60 kg, 28-year-old female).

[1753] 2. Goals and Lifestyle

[1754] Set your goal as "building muscle" and enter the following information: you do a lot of desk work on a daily basis, you go to the gym three times a week, you like Japanese food, and you have a dairy allergy.

[1755] 3. Input of emotional state

[1756] User B inputs "stress" as his current emotional state.

[1757] 4. Data Transmission

[1758] The entered data is sent to the server and stored in the database.

[1759] 5. AI analysis and sentiment analysis

[1760] The server analyzes the data and generates a fitness plan (e.g., strength training three times a week, stretching daily) and nutrition plan (e.g., high-protein diet, low-dairy) that are optimal for User B. The emotion engine takes stress levels into account and adds exercises that promote relaxation (e.g., yoga and meditation) to the plan.

[1761] 6. Offering of Plans

[1762] The generated plan is sent to User B's device and displayed in the app.

[1763] 7. Execution and Recording

[1764] User B follows the proposed plan and records the results of the exercise and diet in the app. The recorded data is then sent back to the server and used as feedback to adjust the plan.

[1765] In this way, the system provides the user with an individually optimized health management plan and further supports more effective health management by taking into account the user's emotional state.

[1766] The processing flow will be explained below.

[1767] Step 1: The user installs the app on a device such as a smartphone or tablet and launches it.

[1768] Step 2: The device displays a screen that prompts the user to enter basic health-related information such as name, age, gender, height, and weight.

[1769] Step 3: The user enters their health goals (e.g., weight loss, muscle building), exercise preferences, dietary restrictions, and allergy information.

[1770] Step 4: The terminal displays a screen that prompts the user to input their current emotional state (e.g., stress, fatigue, happiness, etc.).

[1771] Step 5: The user inputs their current emotional state.

[1772] Step 6: The terminal sends all the input data to the server, including the user's health, lifestyle and emotional information.

[1773] Step 7: The server stores the received data in a database for later analysis.

[1774] Step 8: The server's AI algorithm analyzes the user's health, lifestyle, and emotional information stored in the database and generates a fitness and nutrition plan optimized for the user's health, lifestyle, and goals.

[1775] Step 9: The server's emotion engine adjusts the fitness and nutrition plan based on the user's emotional state. For example, if the user is feeling stressed, it adds exercises that promote relaxation (e.g., yoga or meditation).

[1776] Step 10: The server compiles the generated and adjusted fitness plan and nutrition plan and sends it to the user terminal.

[1777] Step 11: The device displays the received plan in the app, allowing the user to confirm and implement it.

[1778] Step 12: The user follows the suggested fitness and dietary plan and records the results within the app.

[1779] Step 13: The device sends the recorded data back to the server, including the user's exercise results, dietary details, and emotional state.

[1780] Step 14: The server analyzes the received feedback data and uses AI algorithms and emotion engines to refine the plan and update it as needed.

[1781] Step 15: The server again transmits the updated plan to the user terminal, allowing the user to continue managing their health with the latest plan.

[1782] Example 2

[1783] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1784] Conventional health management systems provide plans based solely on the user's health information, making it impossible to provide individually optimized plans that take into account the user's emotional state. Furthermore, they lacked a method for effectively utilizing user feedback to continuously improve plans. This made it difficult to maximize user satisfaction and the effectiveness of health management.

[1785] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for collecting health-related information and emotional state input by the user, means for transmitting the collected information to the server, artificial intelligence means and emotion engine means for analyzing the information stored in the server and generating an individual health management plan, and means for providing the generated health management plan to the user. This makes it possible to comprehensively analyze the user's health information and emotional state, provide an individually optimized plan, and continuously improve the plan by effectively utilizing feedback.

[1786] "User" refers to an individual who utilizes the system and inputs their health-related information and emotional state.

[1787] "Health-related information" refers to physiological and lifestyle data such as a user's height, weight, age, lifestyle, exercise preferences, dietary restrictions, and allergy information.

[1788] "Emotional state" refers to the psychological state, such as stress, fatigue, or happiness, that the user is currently experiencing.

[1789] "Means for collecting" refers to a combination of hardware and software for obtaining user-entered health-related information and emotional state.

[1790] "Server" refers to a computer system that receives, stores, and analyzes data sent from a user, generates a health management plan, and sends it back to the user.

[1791] "Artificial Intelligence Means" refers to algorithms and techniques for analyzing a user's health-related information and generating personalized fitness and nutrition plans.

[1792] "Emotion engine means" refers to algorithms and techniques for analyzing a user's emotional state and adjusting a healthcare plan accordingly.

[1793] "Database" refers to an information management system for securely storing a User's health-related information and emotional state so that it can be accessed and analyzed as needed.

[1794] "Health Management Plan" refers to specific exercise and nutrition instructions and advice generated based on a user's health goals and emotional state.

[1795] "Feedback" refers to data that is used to help generate the next health management plan by reporting the results of the user's exercise and diet to the system.

[1796] This invention is a system that generates and provides personalized health management plans to users, and further combines an emotional engine to provide optimal plans that take into account the user's emotional state. This system collects and analyzes health-related information and emotional state entered by the user, and provides fitness and nutrition plans based on that information. Specifically, it includes the following components:

[1797] User terminal

[1798] A user terminal is a device, such as a smartphone or tablet, that allows a user to interface with the system. The terminal has the following main functions:

[1799] 1. Enter user information: The user enters their name, age, height, weight, and health goals (e.g., weight loss, muscle gain).

[1800] 2. Lifestyle and Preference Survey: Obtain information about the user's daily life, exercise preferences, dietary restrictions and allergies.

[1801] 3. Real-time tracking: Record and track the user's exercise and diet.

[1802] 4. Emotional state input: The user inputs their current emotion (e.g., stress, fatigue, happiness).

[1803] server

[1804] The server is the central component that receives and processes data sent from user terminals. The server has the following main functions:

[1805] 1. Data collection and storage: Health-related information and emotion data sent from the user device are received and stored in a database.

[1806] 2. Execution of AI algorithm and emotion engine: The stored data is used to execute the AI ​​algorithm and emotion engine to generate a personalized health management plan. The AI ​​algorithm analyzes health-related information to generate fitness and nutrition plans. The emotion engine then analyzes the emotion data and adjusts the plan based on the user's emotional state.

[1807] 3. Plan distribution: The generated plan is sent to the user's device so that the user can view it within the app.

[1808] Database

[1809] The database is an information management system that securely stores users' health-related and emotional data and allows them to access and analyze them as needed.

[1810] AI algorithms and emotion engines

[1811] AI algorithms analyze the collected data and generate personalized fitness and nutrition plans for each user, while an emotional engine analyzes the user's emotional state and adjusts the plan accordingly.

[1812] Specific examples

[1813] As an example of user B's use, the system operates in the following steps:

[1814] 1. Initial Registration

[1815] User B installs the app, logs in, and then enters her profile information (e.g., height 165 cm, weight 60 kg, 28-year-old female).

[1816] 2. Goals and Lifestyle

[1817] Set your goal as "building muscle" and enter the following information: you do a lot of desk work on a daily basis, you go to the gym three times a week, you like Japanese food, and you have a dairy allergy.

[1818] 3. Input of emotional state

[1819] User B inputs "stress" as his current emotional state.

[1820] 4. Data Transmission

[1821] The entered data is sent to the server and stored in the database.

[1822] 5. AI analysis and sentiment analysis

[1823] The server analyzes the data and generates a fitness plan (e.g., strength training three times a week, stretching daily) and a nutrition plan (e.g., high-protein diet, low-dairy) that are optimal for User B. The emotion engine takes stress levels into account and adds exercises that promote relaxation (e.g., yoga and meditation) to the plan.

[1824] 6. Offering of Plans

[1825] The generated plan is sent to User B's device and displayed in the app.

[1826] 7. Execution and Recording

[1827] User B follows the proposed plan and records the results of the exercise and diet in the app. The recorded data is then sent back to the server and used as feedback to adjust the plan.

[1828] Prompt Sentence Examples

[1829] 1. User information prompt:

[1830] Enter your height, weight and age.

[1831] 2. Health Goal Setting Prompt:

[1832] Choose your health goal (e.g., weight loss, muscle gain).

[1833] 3. Lifestyle and Preference Survey Prompts:

[1834] Enter your daily routine, exercise preferences, dietary restrictions and allergy information.

[1835] 4. Emotional state input prompt:

[1836] Please describe your current emotional state (e.g., stressed, tired, happy).

[1837] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1838] Step 1: Enter your user information

[1839] Users install the app, enter their basic information (name, age, height, weight, etc.) and health goals, and then answer a questionnaire about their lifestyle, food preferences, and allergy information.

[1840] Input: Name, age, height, weight, health goals, lifestyle information, dietary preferences, allergy information, etc.

[1841] The terminal temporarily stores the input data and prepares to send it to the next step.

[1842] Output: User information data packet.

[1843] Specific behavior:

[1844] "The user opens the app and follows the on-screen instructions to fill in each field. For example, they enter their name, select their age, then enter their height and weight. Then, they select "muscle building" as their "health goal," and fill in details about their lifestyle and diet in a questionnaire format."

[1845] Step 2: Data transmission and storage

[1846] The terminal transmits the information entered by the user to the server.

[1847] The server stores the received data in a database.

[1848] Input: User information data packet.

[1849] Output: User information stored in the database.

[1850] Specific behavior:

[1851] "The device sends a data packet to the server. The server receives the data and stores it in a database. After storing it, the server returns a data reception confirmation to the device."

[1852] Step 3: Enter your emotional state

[1853] The user inputs their current emotional state (e.g., stress, fatigue, happiness, etc.).

[1854] Input: Emotional state data.

[1855] The terminal transmits the input emotional state data to the server.

[1856] Output: Emotional state data packet.

[1857] Specific behavior:

[1858] "The user opens the 'Current Emotional State' interface on the app, selects their current emotion from the options, for example, selects 'Stress', and presses the save button. The device then sends this data to the server."

[1859] Step 4: AI analysis and sentiment analysis

[1860] The server reads user information from a database and runs AI algorithms and emotion engines.

[1861] Input: User information data, emotional state data.

[1862] The server generates fitness and nutrition plans using AI algorithms and adjusts the plans using an emotion engine.

[1863] Output: A personalized health care plan.

[1864] Specific behavior:

[1865] "The server loads all of the user's data from the database and inputs it into an AI algorithm. The algorithm generates a fitness plan based on the user's health goals and lifestyle. An emotion engine then adjusts the plan to take into account the user's emotional state and creates the final plan."

[1866] Step 5: Deploy and view your plan

[1867] The server transmits the generated health management plan to the user terminal.

[1868] The terminal displays the received plan to the user.

[1869] Input: The generated health care plan.

[1870] Output: The healthcare plan displayed to the user.

[1871] Specific behavior:

[1872] "The server sends the final plan as a data packet to the device. The device receives this data and displays it in the appropriate interface within the app, where the user can view a detailed fitness and nutrition plan."

[1873] Step 6: Recording the execution and feedback

[1874] The user follows the suggested plan for exercise and diet.

[1875] Input: Exercise and diet results.

[1876] The terminal records the user's execution results and transmits them to the server.

[1877] The server stores the feedback data in a database and uses it to generate the next plan.

[1878] Output: Updated user data.

[1879] Specific behavior:

[1880] "Users follow the app's instructions for daily exercise and diet, and then enter the results into the app. For example, after a workout, they enter the results and record their diet in the app. The device then sends this data to the server, which stores it in a database and uses it to generate the next plan."

[1881] In this way, the system can comprehensively analyze the user's health information and emotional state to provide an optimal personalized health management plan, and continuously use user feedback to improve the plan and support effective health management.

[1882] (Application example 2)

[1883] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1884] Conventional health management systems typically provide plans based on a user's individual health condition and lifestyle, but do not adequately consider the user's emotional state when generating plans. Furthermore, there is a lack of means to provide users with health management plans in real time via smart devices in physical stores. As a result, users are unable to receive appropriate fitness and nutrition plans tailored to their stress and fatigue levels, preventing them from fully enjoying the benefits of these plans.

[1885] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1886] In this invention, the server includes means for collecting health-related information and emotional states input by a user, means for transmitting the collected information to the server, artificial intelligence means for analyzing the information stored in the server and generating an individual health management plan and fitness plan, and means for displaying the user's health management plan in real time via a smart device, thereby enabling the user to receive an optimal fitness and nutrition plan tailored to their health and emotional state in real time.

[1887] "Health-related information" refers to information about a user's physical condition and health goals, specifically including height, weight, age, health goals (e.g., weight loss, muscle building, etc.), and the like.

[1888] "Emotional state" refers to the user's mental state, and specifically includes information such as stress, fatigue, and happiness.

[1889] "Server" refers to a central component for receiving, storing and analyzing data sent by users.

[1890] "Artificial intelligence means" refers to algorithms that analyze collected data and generate personalized health and fitness plans.

[1891] "Health Management Plan" refers to a specific exercise and diet plan suggested to improve the user's health.

[1892] "Fitness plan" refers to a suggested exercise plan to improve a user's physical fitness and health.

[1893] "Nutrition Plan" refers to a suggested dietary plan for maintaining or improving a user's health.

[1894] "Smart device" refers to a device that allows users to interface with a system, and specifically includes smartphones, smart glasses, head-mounted displays, etc.

[1895] "Displaying in real time" refers to providing information to the user immediately.

[1896] A specific system for implementing this invention is composed of the following main components: a user terminal, a server, a database, an artificial intelligence algorithm, and an emotion analysis engine. The details of this system are described below.

[1897] User terminal

[1898] A user terminal refers to a smart device such as a smartphone, smart glasses, or a head-mounted display. The role of the terminal is to collect input information from the user and send it to the server.

[1899] Entering health-related information

[1900] Users enter their height, weight, age, and health goals (e.g., weight loss, muscle gain, etc.), and this information is used for subsequent analysis.

[1901] Lifestyle and Preference Survey

[1902] Users enter information about their daily routine, exercise preferences, dietary restrictions and allergies, which is used to generate a fitness and nutrition plan tailored to them.

[1903] Entering emotional states

[1904] The user inputs their current emotional state, such as stress, fatigue, happiness, etc. Emotional state is an important factor in adjusting the plan.

[1905] Real-time information provision

[1906] The generated health management and fitness plans are provided to the user in real time via their smart device, allowing them to receive immediate feedback.

[1907] server

[1908] The server is the central component that receives and processes data sent from user terminals.

[1909] Data collection and storage

[1910] The health-related information and emotional state submitted by the user is stored in a database for quick access later when needed.

[1911] Data analysis and plan generation

[1912] Using the stored data, artificial intelligence algorithms generate fitness and nutrition plans. Generative AI models are used to analyze the data. An emotional analysis engine adjusts the generated plans based on the user's emotional state.

[1913] Database

[1914] The database is an information management system that securely stores users' health-related information and emotional data.

[1915] Artificial intelligence algorithms and sentiment analysis engines

[1916] Artificial intelligence algorithms analyze the collected data and generate personalized fitness and nutrition plans for each user, while an emotional analysis engine analyzes the user's emotional state and adjusts the plans accordingly.

[1917] Specific examples

[1918] The user puts on the smart glasses and enters their profile information for initial registration. For example, a 28-year-old woman, 170 cm tall and weighing 65 kg, sets her goal as "building muscle." She also enters her daily exercise amount, food preferences, and allergy information, and enters "stress" as her current emotional state. This information is sent to the server and stored in a database. The server analyzes the data, and the generated plan is displayed in real time on the user's smart glasses.

[1919] Prompt Sentence Examples

[1920] User height: 170cm

[1921] Weight: 65kg

[1922] Health goal: weight loss

[1923] Lifestyle: Running three times a week

[1924] Food preference: Vegetable-based

[1925] Emotional state: Stress

[1926] Generate personalized fitness and nutrition plans.

[1927] As described above, this system allows users to receive a health management plan in real time that is optimized for their own health and emotional state.

[1928] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1929] Step 1:

[1930] Entering health-related information on user devices

[1931] A user uses a smart device (smartphone, smart glasses, etc.) to input health-related information (height, weight, health goals, etc.), lifestyle and preference information (exercise preferences, dietary restrictions, allergy information, etc.), and emotional state (stress, fatigue, happiness, etc.). The user inputs this input data through the interface of the device, and the device receives it. All collected user data is available as the output of the device.

[1932] Step 2:

[1933] Sending data to the server

[1934] The device transmits the collected user data to the server. This transmitted data includes health-related information, lifestyle and preference information, and emotional state information. The server receives the transmitted data from the device and stores it in a database. The output of the server is the data stored in the database.

[1935] Step 3:

[1936] Analyze data and generate fitness plans

[1937] The server analyzes the user data stored in the database. The analysis uses a generative AI model, and an artificial intelligence algorithm generates a health management plan and fitness plan for each user. Specifically, the server generates the following prompt sentence and inputs it into the generative AI model:

[1938] User height: 170cm

[1939] Weight: 65kg

[1940] Health goal: weight loss

[1941] Lifestyle: Running three times a week

[1942] Food preference: Vegetable-based

[1943] Emotional state: Stress

[1944] Generate personalized fitness and nutrition plans.

[1945] The output of the server is a generated personalized fitness and nutrition plan.

[1946] Step 4:

[1947] Sentiment analysis and plan adjustment

[1948] The server uses an emotion analysis engine to analyze the user's emotional state and adjusts the generated plan based on the results. For example, if the user enters "stress," exercises that promote relaxation (such as yoga or meditation) will be added to the plan. The server's output is an adjusted plan that reflects the user's emotional state.

[1949] Step 5:

[1950] Real-time plan display

[1951] The server sends the generated and adjusted plan to the user terminal, and the smart device displays the plan in real time for easy access by the user. The output of the terminal is a real-time displayed health management plan and fitness plan.

[1952] Step 6:

[1953] Gather feedback and refine your plan

[1954] The user follows the provided plan and records the results of their exercise and diet on the device. The recorded data is then sent back to the server, which then adjusts the plan based on this data. This allows for dynamic plan optimization based on feedback. The server's output is the latest health management plan that has been readjusted based on the feedback.

[1955] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1956] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1957] 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 the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1958] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1959] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1960] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1961] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1962] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1963] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1964] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1965] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1966] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1967] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1968] 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.

[1969] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1970] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1971] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific processing may be a single processor.

[1972] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1973] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1974] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1975] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1976] The following is further disclosed regarding the above embodiment.

[1977] (Claim 1)

[1978] means for collecting health-related information input by a user;

[1979] means for transmitting the collected information to a server;

[1980] artificial intelligence means for analyzing the information stored on the server and generating an individualized health management plan;

[1981] means for providing the generated health management plan to a user;

[1982] A system including:

[1983] (Claim 2)

[1984] 10. The system of claim 1, further comprising means for storing the collected information in a database.

[1985] (Claim 3)

[1986] 10. The system of claim 1, wherein the artificial intelligence means generates a fitness and nutrition plan based on the user's lifestyle and preferences.

[1987] "Example 1"

[1988] (Claim 1)

[1989] means for collecting health-related information input by a user;

[1990] means for transmitting the collected information to a server;

[1991] artificial intelligence means for analyzing the information stored on the server and generating an individualized health management plan;

[1992] means for providing the generated health management plan to a user;

[1993] means for recording the health management results performed by the user;

[1994] a means for sending the recorded results to a server and updating the plan based on the feedback;

[1995] A system including:

[1996] (Claim 2)

[1997] 10. The system of claim 1, further comprising means for storing the collected information in a database.

[1998] (Claim 3)

[1999] 10. The system of claim 1, wherein the artificial intelligence means generates a fitness and nutrition plan based on the user's lifestyle and preferences and analyzes the recorded health management results to refine the plan.

[2000] "Application Example 1"

[2001] (Claim 1)

[2002] means for collecting health-related information input by a user;

[2003] means for transmitting the collected information to a server;

[2004] artificial intelligence means for analyzing the information stored on the server and generating an individualized health management plan;

[2005] A means for proposing related products based on the generated health management plan;

[2006] means for enabling the user to purchase the suggested related products;

[2007] A system including:

[2008] (Claim 2)

[2009] 10. The system of claim 1, further comprising means for storing the collected information in a database.

[2010] (Claim 3)

[2011] 10. The system of claim 1, wherein the artificial intelligence means generates a fitness and nutrition plan based on the user's lifestyle and preferences and provides related product recommendations.

[2012] "Example 2: Combining Emotion Engines"

[2013] (Claim 1)

[2014] means for collecting health-related information and emotional state input by a user;

[2015] means for transmitting the collected information to a server;

[2016] artificial intelligence means and emotion engine means for analyzing the information stored in the server and generating an individualized health care plan;

[2017] means for providing the generated health management plan to a user;

[2018] A system including:

[2019] (Claim 2)

[2020] 10. The system of claim 1, further comprising means for storing the collected information in a database.

[2021] (Claim 3)

[2022] 10. The system of claim 1, wherein the artificial intelligence means and emotion engine means generate a fitness and nutrition plan based on the user's lifestyle, preferences, and emotional state.

[2023] "Application example 2 when combining emotion engines"

[2024] (Claim 1)

[2025] means for collecting health-related information and emotional state input by a user;

[2026] means for transmitting the collected information to a server;

[2027] artificial intelligence means for analyzing the information stored on the server and generating a personalized health and fitness plan;

[2028] means for providing the generated health management plan to a user;

[2029] a means for displaying a user's health management plan in real time via a smart device;

[2030] A system including:

[2031] (Claim 2)

[2032] 10. The system of claim 1, further comprising means for storing the collected information in a database.

[2033] (Claim 3)

[2034] 10. The system of claim 1, wherein the artificial intelligence means generates a fitness and nutrition plan based on the user's lifestyle, preferences, and emotional state. [Explanation of symbols]

[2035] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for collecting health-related information input by a user; means for transmitting the collected information to a server; artificial intelligence means for analyzing the information stored on the server and generating an individualized health management plan; means for providing the generated health management plan to a user; A system including:

2. 10. The system of claim 1, further comprising means for storing the collected information in a database.

3. 10. The system of claim 1, wherein the artificial intelligence means generates a fitness and nutrition plan based on the user's lifestyle and preferences.

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