system

Abstract

We provide the system. [Solution] In an information processing device, means for the user to input data related to food, exercise, and sleep, Means for acquiring the aforementioned data and analyzing the acquired data, Based on the aforementioned analysis results, a means for providing individualized advice to the user using character illustrations, A means of reading food ingredient labels, A means for supporting the user in making dietary choices according to their health condition using the aforementioned ingredient information, A system that includes this.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Unexamined Patent Application Publication No. 2022 - 180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 In recent years, the importance of health management has been widely recognized. However, especially among the younger generation, there are difficulties in continuous health management due to the busyness of daily life. Therefore, a new method for enjoying and efficiently performing health management is needed. Also, existing health management tools do not have sufficient functions to provide motivation tailored to individuals, and personalized support according to personal habits and preferences is required. 【Means for Solving the Problems】 【0005】 This invention provides an information processing device that allows a user to input data related to food, exercise, and sleep. It also includes means for analyzing the input data and providing personalized advice using an animated character based on the analysis results. Furthermore, it incorporates means for reading food ingredient labels and uses the acquired ingredient information to support the user in making dietary choices that suit their health condition. This invention can maintain the user's motivation by issuing encouraging messages through the character in response to the data input status. 【0006】 "Information processing equipment" refers to all computers and digital devices used for inputting, processing, and outputting data. 【0007】 "User" refers to an individual who operates an information processing device, inputs data, or receives outputted information. 【0008】 "Food, exercise, and sleep-related data" refers to information regarding the user's daily diet, exercise level, and sleep duration and quality. 【0009】 "Analysis" refers to a series of processes that involve analyzing information based on acquired data and generating judgments and advice from that analysis. 【0010】 "Character illustrations" refer to digital images of people, animals, and other subjects depicted in animation, comics, and other media, and they serve as a means of interactive communication. 【0011】 "Individualized advice" refers to information that provides suggestions and instructions tailored to each user based on the analysis results. 【0012】 An "ingredient label" refers to a label displayed on food packaging that contains information about the ingredients and nutritional value of the food. 【0013】 "Supporting food choices" means providing users with the information and advice they need to make healthy choices. 【0014】 A "praise message" refers to a message that evaluates the user's actions and achievements and aims to increase motivation through words of encouragement and praise. [Brief explanation of the drawing] 【0015】 [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13]It is a sequence diagram showing the processing flow of the data processing system in Example 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined. 【Mode for Carrying Out the Invention】 【0016】 Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0017】 First, the terms used in the following description will be explained. 【0018】 In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0019】 In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0020】 In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc. 【0021】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0022】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0023】 [First Embodiment] 【0024】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0025】 As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. 【0026】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0027】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0028】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input. 【0029】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0030】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0031】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0032】 As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30. 【0033】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0034】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0035】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0036】 This invention provides a method and system for managing a user's health data and providing personalized advice using animated characters. The system will be described in detail below. 【0037】 This system consists of an information processing device, that is, a terminal owned by the user, and a server that is linked to it. 【0038】 Data management for diet, exercise, and sleep 【0039】 Users input information about their daily meals, exercise, and sleep using a dedicated application on their device. For example, a user might enter information such as "bagel and coffee" for breakfast, "30 minutes of jogging" for exercise, and "7 hours of sleep" for sleep. The device stores this information in a local database and sends it to a server for analysis. 【0040】 Data analysis and provision of advice 【0041】 The server receives data sent from the terminal and analyzes it using a dedicated algorithm. This analysis, for example, detects the user's calorie intake and any deficiencies in essential nutrients. Based on the analysis results, the server generates personalized advice for healthy eating and exercise for the user. 【0042】 Messaging by characters 【0043】 The generated advice is displayed on the device through an animated character selected by the user. The character encourages the user, for example, saying, "Great job today! Let's try something more challenging next time!", thereby boosting the user's motivation. 【0044】 Food selection assistance through scanning ingredient labels 【0045】 When users select food items at convenience stores or restaurants, they can scan product labels with the camera on their device. The device sends this information to a server, which then provides recommendations for healthier food choices. In this way, users can make healthier choices in their daily diet. 【0046】 As described above, this invention is a system that supports users' daily health management in a fun and meaningful way through interaction with animated characters. This system increases the user's incentive to achieve their health goals and enables them to maintain their health in the long term. 【0047】 The following describes the processing flow. 【0048】 Step 1: 【0049】 Users launch a dedicated application on their device and input data on their meals, exercise, and sleep. Specifically, they type or select information such as the specific items of their meals, the type and duration of their exercise, and their sleep duration on the input screen. Users can input this data at the end of the day or after each activity is completed. 【0050】 Step 2: 【0051】 The terminal collects the data entered by the user, organizes the input, and then saves it to a local database. During this process, a simple check is performed to verify input errors and data integrity. After verification, the data is ready to be sent to the server via the communication module. 【0052】 Step 3: 【0053】 Data is sent from the terminal to the server. The server stores the received data in a database for analysis. At this stage, the server saves each user's data set, along with time and date information. 【0054】 Step 4: 【0055】 The server analyzes the stored data. This analysis includes comparing the user's past trends and recommended nutrients, utilizing a system that automatically generates health advice as needed. Specific information, such as calorie surplus or deficit in diet and exercise balance, is presented as part of the analysis results. 【0056】 Step 5: 【0057】 The generated advice and analysis results are converted into messages from animated characters and sent to the terminal through characters tailored to the user's preferences and settings. The server uses different expression styles for each character to tailor the advice. 【0058】 Step 6: 【0059】 The terminal displays messages received from the server to the user in an animated format. In this animation, a character encourages the user and urges them to work hard towards a specific goal. 【0060】 Step 7: 【0061】 When users select food items at convenience stores or restaurants, they use the camera function on their device to scan the food's ingredient label. This information is either immediately analyzed on the device or sent to a server for analysis. 【0062】 Step 8: 【0063】 Based on the acquired ingredient information, the server generates advice on food selection suitable for the user's health condition and current goals. Healthier alternatives are also provided if necessary. 【0064】 Step 9: 【0065】 The device displays recommendations from the server, which the user uses as a reference when making their actual choices. Through this iterative process, users can acquire knowledge and awareness that are useful for maintaining their health in their daily choices. 【0066】 (Example 1) 【0067】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0068】 In modern society, proper nutrition, exercise, and rest are crucial for maintaining personal health. However, it is difficult for the average person to manage these in a balanced way in their daily life, and support is needed to help them. In particular, a challenge is how to effectively utilize the results of health data analysis and provide personalized, optimal advice. 【0069】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0070】 In this invention, the server includes means for generating personalized advice for the user based on analysis results using a generative AI model, means for providing the personalized advice using an animated character, and means for preparing prompt sentences for the generative AI model. This makes it possible for the user to receive specific guidance tailored to their health condition in an enjoyable way. 【0071】 "Nutritional data" refers to information about the energy and nutrients obtained from the food and beverages that users consume in their daily lives. 【0072】 "Physical activity data" refers to information obtained from the exercise and daily physical activities performed by the user, and includes the type and duration of exercise, calories burned, and so on. 【0073】 "Rest data" refers to information about the user's sleep duration and rest periods, and includes data on the quality and length of individual sleep. 【0074】 A "generative AI model" is an artificial intelligence model that automatically generates personalized advice and suggestions based on the input data. 【0075】 An "animated character" is a character that is visually and dynamically represented, and is an element that interacts with the user on a user interface. 【0076】 A "prompt" is a written instruction or question given to a generative AI model in order to achieve a specific output. 【0077】 "Consumer goods" refer to consumable products, including food and beverages, and are items used and consumed in the daily lives of users. 【0078】 An "ingredient label" refers to a part of the label attached to a consumer product that lists the ingredients and nutritional information contained in that product. 【0079】 This invention relates to a system that manages personal health data and provides individualized advice using a user-accessible information processing terminal and a server that interacts with it. This system operates through dedicated application software. 【0080】 Users input their nutritional data, physical activity data, and rest data using an application on their device. For example, they can input information such as "I ate oatmeal for breakfast," "I went for a one-hour walk," or "I slept for eight hours." 【0081】 The terminal saves the entered data to a local database and then sends the data to the server via a secure communication channel. This communication uses commonly used encryption protocols. 【0082】 The server analyzes the received data and evaluates the user's health status. Generative AI models are used for the analysis. Based on the input data, the model calculates indicators such as calorie intake and nutritional balance, and determines any nutrient deficiencies or excesses / deficiencies in exercise. 【0083】 The generative AI model uses prompts to generate specific advice. For example, it might use a prompt like, "Please provide advice on how to improve a calcium deficiency." 【0084】 The advice generated on the server is displayed on the device via an animated character. The character provides advice, encouragement, and suggestions in an interactive manner with the user. For example, it might display something like, "Great job today! Let's try to keep it up longer next time." 【0085】 Furthermore, when users select consumer goods while out and about, they can use their device's camera to scan product labels and send ingredient information to a server. The server analyzes this information and provides recommendations to help users choose appropriate consumer goods based on their health condition. For example, it might advise, "This food is high in salt, so please consider other options." 【0086】 This system allows users to manage their health goals in an enjoyable way and maintain their health in the long term. 【0087】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0088】 Step 1: 【0089】 The user inputs nutritional data, physical activity data, and rest data using an information processing terminal. For example, they might input "I ate bread for breakfast," "I went for a 20-minute jog," and "I slept for 7 hours." This input data is temporarily stored in the terminal's local database. 【0090】 Step 2: 【0091】 The device sends the stored data to the server. For security reasons, the data is encrypted before transmission. The input data consists of detailed information about nutritional intake, exercise time, and sleep duration, which is then output as received data on the server. 【0092】 Step 3: 【0093】 The server applies a specialized algorithm to analyze the received data. Using the input data, it calculates calories and evaluates the balance of nutrients, determining any nutrient deficiencies or excesses / deficiencies in exercise. This analysis result becomes the input data for the next step. 【0094】 Step 4: 【0095】 The server uses a generative AI model to generate personalized advice based on the analysis results. Taking the prompt "Please provide advice on how to improve calcium deficiency" as input, the generative AI model constructs specific advice. The output is an advice statement such as "Consume more dairy products." 【0096】 Step 5: 【0097】 The server visualizes the generated advice through an animated character and sends it to the device. On the device, the character displays a message on the screen saying, "Your workout today was good. Keep it up!" to boost the user's motivation. 【0098】 Step 6: 【0099】 When shopping, users scan the ingredient labels of consumer goods using their device's camera. This input data contains the food's ingredient information, which the device then sends to a server. The server analyzes the input ingredient information and outputs food selection advice, such as, "This product is low in calories, so we recommend it." 【0100】 (Application Example 1) 【0101】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0102】 In today's living environment, it is difficult for individual users to manage their daily health in an enjoyable and sustainable way. Conventional health management systems suffer from the problem of being monotonous and making it difficult to maintain motivation. This invention aims to realize a system that enhances user motivation and makes daily health management more enjoyable and efficient by providing interactive health advice using animated characters. 【0103】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0104】 In this invention, the server includes means for the user to input data related to food, exercise, and sleep; means for acquiring and analyzing the acquired data; and means for providing personalized advice to the user using an electronic character on a home or portable device. This enables the user to manage their health in an enjoyable and sustainable way through interaction with the character. 【0105】 A "user" is defined as the entity that inputs data related to food, exercise, and sleep. 【0106】 "Data" refers to information about lifestyle habits such as food intake, exercise content, and sleep duration. 【0107】 "Analysis" refers to the process of evaluating a user's health status based on acquired data and generating personalized advice. 【0108】 An "electronic character" is an interactive graphic animation displayed on a digital device that serves to provide health advice to the user. 【0109】 An "imaging device" is a camera or other equipment used to acquire information about the components of food. 【0110】 "Nutritional selection" is the act of choosing a diet that is appropriate for one's health condition based on information about its components. 【0111】 "Interaction" refers to the act of communication between the user and the electronic character, where information and feedback are exchanged. 【0112】 The system implementing this invention is based on a server that interacts with a user's portable device. The user uses a smartphone or consumer robot to input data related to food, exercise, and sleep. The device then uses image sensors and microphones to capture the data as input. The input data is transmitted to the server via a communication network. 【0113】 The server executes analysis algorithms provided within the program to perform nutritional information analysis of food products and calculate exercise load. It uses Python and the Pandas library for efficient data analysis based on health status. Based on the analysis results, it generates personalized health advice for the user. 【0114】 The generated advice is delivered to the user through an animated character displayed on a home or portable device. Unity or Unreal Engine is used for the character's movements, providing a friendly and interactive user experience. Users can ask the character questions through prompts. For example, prompts such as "How was my workout today?" or "What should I eat tomorrow?" will prompt the system to provide appropriate feedback. 【0115】 This system allows users to manage their health in an enjoyable way in their daily lives and maintain sustainable health. 【0116】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0117】 Step 1: 【0118】 Users use a smartphone or consumer robot to input data about food, exercise, and sleep via voice or manually. Examples of input data include "two rice balls, salad" for food, or "30 minutes of jogging" for exercise. The entered data is stored in the device's local database. 【0119】 Step 2: 【0120】 The device sends the stored data to a cloud server. The input data sent includes the type of food consumed, exercise details, and sleep duration. The server receives this data and prepares it for analysis. 【0121】 Step 3: 【0122】 The server analyzes the received data. First, it calculates calories and nutrients based on food data, and then calculates calorie expenditure using exercise data. It uses sleep data to evaluate sleep quality and quantity. Python and Pandas libraries are used for this process. The analysis results are output and passed to the next advice generation step. 【0123】 Step 4: 【0124】 The server generates personalized health advice based on the analysis results. This advice may include suggestions for nutritional balance and exercise recommendations. The generated advice is then prepared to be delivered by an animated character chosen by the user. 【0125】 Step 5: 【0126】 An animated character appears on the device and offers advice to the user. The character uses friendly messages, such as encouraging prompts like, "Your run today was great! When should we run again?" This fosters interaction with the user. 【0127】 Step 6: 【0128】 In interactions with the character, users can request additional information or ask questions through prompts. For example, they might type, "How's today's nutritional balance?" and receive corresponding feedback. A generative AI model processes these interactions and provides the user with accurate information. 【0129】 Through this series of processes, users can easily manage their health in their daily lives and maintain sustainable health. 【0130】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0131】 This invention provides a health management system that combines an animated character and emotion recognition in an information processing device. This system allows users to input daily diet, exercise, and sleep data on a terminal, and provides personalized advice based on this data through the character. Furthermore, it incorporates an emotion engine that recognizes the user's emotions to further personalize the advice and the character's responses. 【0132】 Basic data management and analysis 【0133】 Users record information such as the specifics of their meals, exercise time, and sleep time using an input form on their device. This data is immediately sent from the device to the server, which stores the received data in a segment for analysis. On the server side, specialized algorithms analyze this data and generate advice from a health management perspective. 【0134】 Optimizing user responses using emotion recognition 【0135】 The device is equipped with an emotion engine that senses parameters such as the user's voice tone and facial expressions, and evaluates the user's emotional state. For example, if a user is dissatisfied with the application, the emotion engine detects this, and the server uses that information to adjust the tone of advice and the character's response. This enables more user-friendly and effective communication. 【0136】 Interactive feedback from characters 【0137】 The server changes the character's facial expressions and messages based on analysis and emotion recognition results. For example, it sends encouraging words to users who are feeling down, and more positive messages to users who are in a cheerful mood. This allows users to have an experience that goes beyond simply inputting data, helping them maintain motivation to actively continue managing their health. 【0138】 Scanning and utilizing food ingredient labels 【0139】 When users purchase food, scanning the ingredient label with their device sends that information to a server, allowing them to receive advice that supports their health status and current management goals in choosing appropriate foods. This feature helps support health-related decisions in daily food selection. 【0140】 This invention provides a system that comprehensively supports users' health management through data input, analysis, emotion recognition, and character-based interaction. Users can pursue their health goals in an enjoyable and continuous manner by receiving personalized responses tailored to their emotions and circumstances. 【0141】 The following describes the processing flow. 【0142】 Step 1: 【0143】 The user launches an application on their device and enters data about their meals, exercise, and sleep. For example, a user might record "fruit salad" for breakfast, "20 minutes of yoga" for exercise, and "6 hours" for sleep. The entered data is stored in the device's local database and prepared for transmission to the server. 【0144】 Step 2: 【0145】 The terminal collects user data and sends it to the server in an encrypted format. The data includes the date, time, and specific activity entered. On the server side, the received data is stored in a specific segment for analysis. 【0146】 Step 3: 【0147】 The server analyzes the stored user data. During the analysis, it evaluates calorie intake, nutrient deficiencies or excesses, and exercise levels, making an overall assessment of the user's health status. This analysis then generates personalized health advice tailored to the user. 【0148】 Step 4: 【0149】 The device activates its built-in emotion engine to analyze the user's emotions from their facial expressions and voice. For example, if the user is smiling while entering data, the emotion "happy" is detected. The emotion engine sends this information to the server. 【0150】 Step 5: 【0151】 The server combines the analysis results with emotional information obtained from the emotion engine to generate appropriate messages for the character to the user. For example, it might provide positive feedback such as, "Your exercise and meals are going well today! Keep it up!" 【0152】 Step 6: 【0153】 The device provides feedback to the user through animated messages featuring characters. The characters' facial expressions and voices also change according to the user's emotional state, enriching the interaction with the user. 【0154】 Step 7: 【0155】 When users select food items at convenience stores or restaurants, they scan the food's ingredient label with their device's camera. This instantly displays the ingredient information on the device, or sends it to a server if further analysis is required. 【0156】 Step 8: 【0157】 The server generates dietary advice tailored to the user's current health status and goals based on ingredient information. The device then uses the feedback from the server to provide suggestions to help the user make healthier choices. 【0158】 In this way, the system provides personalized support based on data entry, analysis, and emotion recognition, enabling users to manage their health on a daily basis. 【0159】 (Example 2) 【0160】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0161】 In modern life, many individuals recognize the importance of health management, but often find it difficult to implement it in an effective and sustainable way. Furthermore, comprehensive health management requires a holistic approach encompassing diet, exercise, and sleep, and ideally, an individual's emotional state should also be considered. However, the limited means available for easily implementing this in daily life can hinder the continuation of these practices. 【0162】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0163】 In this invention, the server includes means for acquiring and analyzing information, means for recognizing the user's emotions and providing personalized responses, and means for supporting lifestyle choices. This makes it easier for users to maintain comprehensive health management and receive advice tailored to their individual circumstances in real time. 【0164】 A "user" refers to an individual who uses the system to manage their own health status. 【0165】 "Lifestyle habits" refers to the collective actions and habits that individuals engage in in their daily lives, such as eating, exercising, and sleeping. 【0166】 "Information" refers to data related to lifestyle habits entered by the user through the system, and specifically includes things like diet, exercise time, and sleep time. 【0167】 A "specialized algorithm" refers to a computational procedure used to analyze input information and generate advice tailored to the user. 【0168】 "Emotions" refer to the psychological state recognized from the user's voice and facial expressions, and the system takes this into account to provide personalized support. 【0169】 "Visual representation" is a general term for animated characters and graphics used to provide personalized services to users. 【0170】 "Food information" refers to specific data used for health management, such as ingredients and nutrients listed on food products. 【0171】 "Lifestyle choices" is a general term for the improvement measures and options for daily life that are proposed according to the user's health condition and goals. 【0172】 A "positive message" refers to a response generated by a system to acknowledge or encourage the user's efforts and achievements. 【0173】 This invention is an information processing system that analyzes information related to lifestyle habits and provides personalized advice. This system is mainly implemented using terminals and servers. 【0174】 First, the user uses an application on their device to input information about their lifestyle. This information specifically includes details about their diet, exercise time, and sleep duration. The device retrieves this data and sends it to the server via a secure protocol. 【0175】 The server is equipped with specialized algorithms that analyze the lifestyle information transmitted to the user. The analysis generates optimal advice for the user, considering factors such as nutritional balance and exercise levels. Furthermore, the device's built-in emotion recognition engine analyzes the user's voice tone and facial expressions. This allows the server to adjust the advice based on the user's emotional state. 【0176】 In terms of visual representation, the server determines the animated character's facial expressions and messages based on analysis and emotion recognition results. The terminal retrieves this information and provides feedback in a user-friendly format. For example, if the user is feeling stressed, the animated character will convey an encouraging message. Conversely, if the user is in a positive emotional state, the character will convey a positive message. 【0177】 Furthermore, the device has a function to scan food ingredient labels, allowing users to check the ingredient information of food before purchasing. The scanned ingredient information is sent to a server, which generates advice to help users make dietary choices tailored to their health condition and goals. 【0178】 By using generative AI models, it is possible to provide detailed, personalized support that takes into account the user's lifestyle data and emotional state. This allows users to maintain high motivation for health management and continuously make optimal choices. 【0179】 Examples of prompt messages include: "The user entered today's exercise data, but the emotion engine detected a tired voice. What encouraging message would you have the character say?" and "The user scanned a food ingredient label. It contains high-calorie foods. What healthy alternative would you suggest?" 【0180】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0181】 Step 1: 【0182】 The user inputs information related to their lifestyle into the device. Specifically, they use the application's input form to enter details such as what they ate (e.g., what they had for breakfast), exercise time (e.g., 30 minutes of running), and sleep time (e.g., 7 hours). This input data forms the basis for the next processing step and is prepared to be sent to the server. 【0183】 Step 2: 【0184】 The terminal sends the input data to the server. The data is encrypted and transmitted via a secure protocol. The server stores the received data in a database for analysis. This gives the server the input information needed for subsequent analysis processing. 【0185】 Step 3: 【0186】 The server performs data analysis. Using specialized algorithms, it evaluates nutrient deficiencies or excesses from dietary data, calorie expenditure from exercise data, and rest quality from sleep data. Based on the analysis, the generated AI model outputs specific health advice. For example, it might output advice such as, "You are deficient in vitamin C. Add some fruit to your diet." 【0187】 Step 4: 【0188】 The device recognizes the user's emotions. The emotion recognition engine analyzes the user's voice tone and facial expressions in real time to evaluate their emotional state. The obtained emotional data is then sent to a server and used to adjust the advice. This process outputs the user's psychological state. 【0189】 Step 5: 【0190】 The server uses emotional data to adjust the advice it provides. For example, if a user is feeling stressed, the advice is adjusted to have a more encouraging tone. This information is then translated into a visual representation as personalized animations. 【0191】 Step 6: 【0192】 The server generates a visual representation and sends it to the terminal. The character's facial expressions and messages are determined and sent back to the terminal. This prepares the terminal to provide visual feedback to the user. 【0193】 Step 7: 【0194】 The device provides feedback to the user. An animated character conveys the analysis results and tailored advice. By receiving encouraging and positive messages, users can maintain high motivation for health management. In this step, users can obtain specific advice and information tailored to their needs. 【0195】 (Application Example 2) 【0196】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal". 【0197】 Traditional health management systems lacked the ability to provide personalized advice that considered the user's emotions, making it difficult to maintain motivation. Furthermore, efficient health support integrated with home-use devices was not adequately realized. As a result, users found it difficult to continuously pursue their health goals. 【0198】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0199】 In this invention, the server includes means for analyzing the user's voice and facial expressions and evaluating their emotional state, means for adjusting the advice tone and character response based on the emotional state, and means for supporting health management in cooperation with home devices. This makes it possible to provide optimal advice and messages according to the user's emotional state and to support the user's health management as an efficient system in cooperation with home devices. 【0200】 An "information processing device" is a device that has the function of inputting and analyzing data and providing specific instructions or advice based on that data. 【0201】 "User" refers to an individual who uses an information processing device to input data related to diet, exercise, and sleep, and receives support for health management. 【0202】 "Data" refers to information about food, exercise, and sleep entered by users, which is used to assess health status and provide advice. 【0203】 "Means for analysis" refers to a method or apparatus for analyzing acquired data using a specific algorithm or program and converting it into useful information. 【0204】 "Character illustrations" are animated images of people, animals, and other subjects that are displayed on the screen of an information processing device and used to visually provide advice and feedback to the user. 【0205】 "Individualized advice" refers to specific suggestions and instructions provided to assist with personalized health management, based on the data entered by the user and the analysis results. 【0206】 "Means for reading food ingredient labels" refers to a device or program used to acquire ingredient information listed on product packaging as digital data. 【0207】 "Ingredient information" refers to data that influences users' food choices, such as the nutrients and calories contained in food. 【0208】 "Emotional state" refers to the psychological state of the user as conveyed through their facial expressions and tone of voice, and is evaluated using emotion recognition technology. 【0209】 "Advice tone" refers to the tone and nuance of advice that is adjusted based on the emotional state of the person giving the advice. 【0210】 "Character response" refers to responses and feedback actions to the user that change according to emotions and situations, using character illustrations. 【0211】 "Household appliances" refer to electrical appliances and communication devices that users use on a daily basis in their homes, and are used in conjunction with information processing devices to support health management. 【0212】 An embodiment of this invention is a health management system using a robot as a consumer device. The system allows the user to input daily lifestyle data such as meals, exercise, and sleep, and uses this information to monitor their health. The terminal is equipped with a voice input device and a camera, and evaluates the user's emotional state by analyzing the user's voice and facial expressions using an emotion recognition engine. 【0213】 The analyzed data is sent to a server, where a data analysis algorithm generates health advice. This advice is presented visually using user-friendly character illustrations. Furthermore, the advice tone and message are adjusted based on emotional information, enabling a more relatable and effective interaction with the user. 【0214】 The system also has a food label scanning function, automatically retrieving ingredient information at the time of purchase and sending it to the server. As a result, it provides advice to support optimal dietary choices based on the user's current health status and management goals. 【0215】 As a concrete example, if a user asks the robot, "How much exercise should I do today?", the system can provide advice such as, "Try walking a little more today!" through a character illustration, based on the user's current health data and emotional state. Furthermore, in response to a prompt like, "I feel like I haven't been getting enough sleep lately. Do you have any suggestions for improvement?", the system will suggest optimal solutions based on a dedicated algorithm. In this way, users can receive personalized support tailored to their emotions while continuously working towards achieving their health goals. 【0216】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0217】 Step 1: 【0218】 The device acquires data on diet, exercise, and sleep from the user via a voice input device. This data is entered as direct information about the user's lifestyle. 【0219】 Step 2: 【0220】 The device uses its camera to analyze the user's facial expressions, and an emotion recognition engine evaluates the user's emotional state. In this process, data calculations are performed using an emotion model based on the acquired facial expression data, and an emotion score is output. 【0221】 Step 3: 【0222】 The device sends the acquired lifestyle data and emotional score to the server. The server receives this information and stores it in a database. This process converts the input data into a recording format and classifies it into appropriate categories. 【0223】 Step 4: 【0224】 The server applies a data analysis algorithm to assess the user's health status. Based on the input data, it performs statistical analysis and generates personalized health advice. The output is presented as specific advice text. 【0225】 Step 5: 【0226】 The server adjusts the tone of the advice generated using the emotion score. Using the acquired emotion score as input, the generation AI model individualizes the advice tone and outputs the adjusted advice. 【0227】 Step 6: 【0228】 The device presents the user with individually tailored advice received from the server, using character illustrations. It provides audio and visual feedback, suggesting specific actions to take. 【0229】 Step 7: 【0230】 When a user purchases food, the terminal scans the ingredient label and sends the ingredient information to a server. The server performs data calculations based on the ingredient information and outputs dietary options tailored to the user's health condition. 【0231】 Step 8: 【0232】 The device presents the user with recommended options from the server. Specifically, a character provides visual and audio advice on choosing meals, supporting the user's daily decisions. 【0233】 The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data. 【0234】 Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0235】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14. 【0236】 [Second Embodiment] 【0237】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0238】 As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server. 【0239】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0240】 The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52. 【0241】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0242】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0243】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0244】 Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0245】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0246】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0247】 In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0248】 Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0249】 This invention provides a method and system for managing a user's health data and providing personalized advice using animated characters. The system will be described in detail below. 【0250】 This system consists of an information processing device, that is, a terminal owned by the user, and a server that is linked to it. 【0251】 Data management for diet, exercise, and sleep 【0252】 Users input information about their daily meals, exercise, and sleep using a dedicated application on their device. For example, a user might enter information such as "bagel and coffee" for breakfast, "30 minutes of jogging" for exercise, and "7 hours of sleep" for sleep. The device stores this information in a local database and sends it to a server for analysis. 【0253】 Data analysis and provision of advice 【0254】 The server receives data sent from the terminal and analyzes it using a dedicated algorithm. This analysis, for example, detects the user's calorie intake and any deficiencies in essential nutrients. Based on the analysis results, the server generates personalized advice for healthy eating and exercise for the user. 【0255】 Messaging by characters 【0256】 The generated advice is displayed on the device through an animated character selected by the user. The character encourages the user, for example, saying, "Great job today! Let's try something more challenging next time!", thereby boosting the user's motivation. 【0257】 Food selection assistance through scanning ingredient labels 【0258】 When users select food items at convenience stores or restaurants, they can scan product labels with the camera on their device. The device sends this information to a server, which then provides recommendations for healthier food choices. In this way, users can make healthier choices in their daily diet. 【0259】 As described above, this invention is a system that supports users' daily health management in a fun and meaningful way through interaction with animated characters. This system increases the user's incentive to achieve their health goals and enables them to maintain their health in the long term. 【0260】 The following describes the processing flow. 【0261】 Step 1: 【0262】 Users launch a dedicated application on their device and input data on their meals, exercise, and sleep. Specifically, they type or select information such as the specific items of their meals, the type and duration of their exercise, and their sleep duration on the input screen. Users can input this data at the end of the day or after each activity is completed. 【0263】 Step 2: 【0264】 The terminal collects the data entered by the user, organizes the input, and then saves it to a local database. During this process, a simple check is performed to verify input errors and data integrity. After verification, the data is ready to be sent to the server via the communication module. 【0265】 Step 3: 【0266】 Data is sent from the terminal to the server. The server stores the received data in a database for analysis. At this stage, the server saves each user's data set, along with time and date information. 【0267】 Step 4: 【0268】 The server analyzes the stored data. This analysis includes comparing the user's past trends and recommended nutrients, utilizing a system that automatically generates health advice as needed. Specific information, such as calorie surplus or deficit in diet and exercise balance, is presented as part of the analysis results. 【0269】 Step 5: 【0270】 The generated advice and analysis results are converted into messages from animated characters and sent to the terminal through characters tailored to the user's preferences and settings. The server uses different expression styles for each character to tailor the advice. 【0271】 Step 6: 【0272】 The terminal displays messages received from the server to the user in an animated format. In this animation, a character encourages the user and urges them to work hard towards a specific goal. 【0273】 Step 7: 【0274】 When users select food items at convenience stores or restaurants, they use the camera function on their device to scan the food's ingredient label. This information is either immediately analyzed on the device or sent to a server for analysis. 【0275】 Step 8: 【0276】 Based on the acquired ingredient information, the server generates advice on food selection suitable for the user's health condition and current goals. Healthier alternatives are also provided if necessary. 【0277】 Step 9: 【0278】 The device displays recommendations from the server, which the user uses as a reference when making their actual choices. Through this iterative process, users can acquire knowledge and awareness that are useful for maintaining their health in their daily choices. 【0279】 (Example 1) 【0280】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0281】 In modern society, for an individual to maintain health, appropriate nutrition intake, exercise, and rest are important. However, it is difficult for general users to manage these well in their daily lives, and support for this is being sought. In particular, how to effectively utilize the analysis results of health information and provide optimal individual advice is an issue. 【0282】 The specific processing by the specific processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0283】 In this invention, the server includes means for generating individual advice for a user based on analysis results using a generation AI model, means for providing the individual advice using an animation character, and means for preparing a prompt sentence for the generation AI model. Thereby, the user can enjoy receiving specific guidance according to their own health condition. 【0284】 "Nutrition data" refers to information on energy and nutrients obtained from foods and beverages consumed by a user in daily life. 【0285】 "Physical activity data" is information obtained from the exercise and daily physical activities performed by a user, and includes the type of exercise, time, calories consumed, etc. 【0286】 "Rest data" refers to information regarding a user's sleep time and rest, and includes data related to the quality and length of an individual's sleep. 【0287】 "Generation AI model" is an artificial intelligence model that automatically generates individual advice and proposals based on input data. 【0288】 "Animation character" is a character expressed visually and dynamically, and is an element that interacts with a user on a user interface. 【0289】 A "prompt" is a written instruction or question given to a generative AI model in order to achieve a specific output. 【0290】 "Consumer goods" refer to consumable products, including food and beverages, and are items used and consumed in the daily lives of users. 【0291】 An "ingredient label" refers to a part of the label attached to a consumer product that lists the ingredients and nutritional information contained in that product. 【0292】 This invention relates to a system that manages personal health data and provides individualized advice using a user-accessible information processing terminal and a server that interacts with it. This system operates through dedicated application software. 【0293】 Users input their nutritional data, physical activity data, and rest data using an application on their device. For example, they can input information such as "I ate oatmeal for breakfast," "I went for a one-hour walk," or "I slept for eight hours." 【0294】 The terminal saves the entered data to a local database and then sends the data to the server via a secure communication channel. This communication uses commonly used encryption protocols. 【0295】 The server analyzes the received data and evaluates the user's health status. Generative AI models are used for the analysis. Based on the input data, the model calculates indicators such as calorie intake and nutritional balance, and determines any nutrient deficiencies or excesses / deficiencies in exercise. 【0296】 The generative AI model uses prompts to generate specific advice. For example, it might use a prompt like, "Please provide advice on how to improve a calcium deficiency." 【0297】 The advice generated on the server is displayed on the device via an animated character. The character provides advice, encouragement, and suggestions in an interactive manner with the user. For example, it might display something like, "Great job today! Let's try to keep it up longer next time." 【0298】 Furthermore, when users select consumer goods while out and about, they can use their device's camera to scan product labels and send ingredient information to a server. The server analyzes this information and provides recommendations to help users choose appropriate consumer goods based on their health condition. For example, it might advise, "This food is high in salt, so please consider other options." 【0299】 This system allows users to manage their health goals in an enjoyable way and maintain their health in the long term. 【0300】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0301】 Step 1: 【0302】 The user inputs nutritional data, physical activity data, and rest data using an information processing terminal. For example, they might input "I ate bread for breakfast," "I went for a 20-minute jog," and "I slept for 7 hours." This input data is temporarily stored in the terminal's local database. 【0303】 Step 2: 【0304】 The device sends the stored data to the server. For security reasons, the data is encrypted before transmission. The input data consists of detailed information about nutritional intake, exercise time, and sleep duration, which is then output as received data on the server. 【0305】 Step 3: 【0306】 The server applies a dedicated algorithm to analyze the received data. Using the input data, it calculates calories and evaluates the nutrient balance, and as a result, determines the lacking nutrients and the excess or deficiency of exercise. This analysis result becomes the input data for the next step. 【0307】 Step 4: 【0308】 The server uses the generated AI model to generate personalized advice based on the analysis result. With the input prompt sentence "Please provide improvement advice when calcium is lacking", the generated AI model constructs specific advice. The output is an advice sentence such as "Let's consume more dairy products". 【0309】 Step 5: 【0310】 The server visualizes the generated advice through an animation character and sends it to the terminal. On the terminal, the character displays a message on the screen such as "Today's exercise is good. Keep it up!", improving the user's motivation. 【0311】 Step 6: 【0312】 When shopping, the user scans the ingredient label of the consumer goods with the camera of the terminal. This input data is the ingredient information of the food, and the terminal uses it to send to the server. The server analyzes the input ingredient information and outputs advice on food selection such as "This product is low in calories, so it is recommended". 【0313】 (Application Example 1) 【0314】 Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal". 【0315】 In today's living environment, it is difficult for individual users to manage their daily health in an enjoyable and sustainable way. Conventional health management systems suffer from the problem of being monotonous and making it difficult to maintain motivation. This invention aims to realize a system that enhances user motivation and makes daily health management more enjoyable and efficient by providing interactive health advice using animated characters. 【0316】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0317】 In this invention, the server includes means for the user to input data related to food, exercise, and sleep; means for acquiring and analyzing the acquired data; and means for providing personalized advice to the user using an electronic character on a home or portable device. This enables the user to manage their health in an enjoyable and sustainable way through interaction with the character. 【0318】 A "user" is defined as the entity that inputs data related to food, exercise, and sleep. 【0319】 "Data" refers to information about lifestyle habits such as food intake, exercise content, and sleep duration. 【0320】 "Analysis" refers to the process of evaluating a user's health status based on acquired data and generating personalized advice. 【0321】 An "electronic character" is an interactive graphic animation displayed on a digital device that serves to provide health advice to the user. 【0322】 An "imaging device" is a camera or other equipment used to acquire information about the components of food. 【0323】 "Nutritional selection" is the act of choosing a diet that is appropriate for one's health condition based on information about its components. 【0324】 "Interaction" refers to the act of communication between the user and the electronic character, where information and feedback are exchanged. 【0325】 The system implementing this invention is based on a server that interacts with a user's portable device. The user uses a smartphone or consumer robot to input data related to food, exercise, and sleep. The device then uses image sensors and microphones to capture the data as input. The input data is transmitted to the server via a communication network. 【0326】 The server executes analysis algorithms provided within the program to perform nutritional information analysis of food products and calculate exercise load. It uses Python and the Pandas library for efficient data analysis based on health status. Based on the analysis results, it generates personalized health advice for the user. 【0327】 The generated advice is delivered to the user through an animated character displayed on a home or portable device. Unity or Unreal Engine is used for the character's movements, providing a friendly and interactive user experience. Users can ask the character questions through prompts. For example, prompts such as "How was my workout today?" or "What should I eat tomorrow?" will prompt the system to provide appropriate feedback. 【0328】 This system allows users to manage their health in an enjoyable way in their daily lives and maintain sustainable health. 【0329】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0330】 Step 1: 【0331】 Users use a smartphone or consumer robot to input data about food, exercise, and sleep via voice or manually. Examples of input data include "two rice balls, salad" for food, or "30 minutes of jogging" for exercise. The entered data is stored in the device's local database. 【0332】 Step 2: 【0333】 The device sends the stored data to a cloud server. The input data sent includes the type of food consumed, exercise details, and sleep duration. The server receives this data and prepares it for analysis. 【0334】 Step 3: 【0335】 The server analyzes the received data. First, it calculates calories and nutrients based on food data, and then calculates calorie expenditure using exercise data. It uses sleep data to evaluate sleep quality and quantity. Python and Pandas libraries are used for this process. The analysis results are output and passed to the next advice generation step. 【0336】 Step 4: 【0337】 The server generates personalized health advice based on the analysis results. This advice may include suggestions for nutritional balance and exercise recommendations. The generated advice is then prepared to be delivered by an animated character chosen by the user. 【0338】 Step 5: 【0339】 An animated character appears on the device and offers advice to the user. The character uses friendly messages, such as encouraging prompts like, "Your run today was great! When should we run again?" This fosters interaction with the user. 【0340】 Step 6: 【0341】 In interactions with the character, users can request additional information or ask questions through prompts. For example, they might type, "How's today's nutritional balance?" and receive corresponding feedback. A generative AI model processes these interactions and provides the user with accurate information. 【0342】 Through this series of processes, users can easily manage their health in their daily lives and maintain sustainable health. 【0343】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0344】 This invention provides a health management system that combines an animated character and emotion recognition in an information processing device. This system allows users to input daily diet, exercise, and sleep data on a terminal, and provides personalized advice based on this data through the character. Furthermore, it incorporates an emotion engine that recognizes the user's emotions to further personalize the advice and the character's responses. 【0345】 Basic data management and analysis 【0346】 Users record information such as the specifics of their meals, exercise time, and sleep time using an input form on their device. This data is immediately sent from the device to the server, which stores the received data in a segment for analysis. On the server side, specialized algorithms analyze this data and generate advice from a health management perspective. 【0347】 Optimizing user responses using emotion recognition 【0348】 The device is equipped with an emotion engine that senses parameters such as the user's voice tone and facial expressions, and evaluates the user's emotional state. For example, if a user is dissatisfied with the application, the emotion engine detects this, and the server uses that information to adjust the tone of advice and the character's response. This enables more user-friendly and effective communication. 【0349】 Interactive feedback from characters 【0350】 The server changes the character's facial expressions and messages based on analysis and emotion recognition results. For example, it sends encouraging words to users who are feeling down, and more positive messages to users who are in a cheerful mood. This allows users to have an experience that goes beyond simply inputting data, helping them maintain motivation to actively continue managing their health. 【0351】 Scanning and utilizing food ingredient labels 【0352】 When users purchase food, scanning the ingredient label with their device sends that information to a server, allowing them to receive advice that supports their health status and current management goals in choosing appropriate foods. This feature helps support health-related decisions in daily food selection. 【0353】 This invention provides a system that comprehensively supports users' health management through data input, analysis, emotion recognition, and character-based interaction. Users can pursue their health goals in an enjoyable and continuous manner by receiving personalized responses tailored to their emotions and circumstances. 【0354】 The following describes the processing flow. 【0355】 Step 1: 【0356】 The user launches an application on their device and enters data about their meals, exercise, and sleep. For example, a user might record "fruit salad" for breakfast, "20 minutes of yoga" for exercise, and "6 hours" for sleep. The entered data is stored in the device's local database and prepared for transmission to the server. 【0357】 Step 2: 【0358】 The terminal collects user data and sends it to the server in an encrypted format. The data includes the date, time, and specific activity entered. On the server side, the received data is stored in a specific segment for analysis. 【0359】 Step 3: 【0360】 The server analyzes the stored user data. During the analysis, it evaluates calorie intake, nutrient deficiencies or excesses, and exercise levels, making an overall assessment of the user's health status. This analysis then generates personalized health advice tailored to the user. 【0361】 Step 4: 【0362】 The device activates its built-in emotion engine to analyze the user's emotions from their facial expressions and voice. For example, if the user is smiling while entering data, the emotion "happy" is detected. The emotion engine sends this information to the server. 【0363】 Step 5: 【0364】 The server combines the analysis results with emotional information obtained from the emotion engine to generate appropriate messages for the character to the user. For example, it might provide positive feedback such as, "Your exercise and meals are going well today! Keep it up!" 【0365】 Step 6: 【0366】 The device provides feedback to the user through animated messages featuring characters. The characters' facial expressions and voices also change according to the user's emotional state, enriching the interaction with the user. 【0367】 Step 7: 【0368】 When users select food items at convenience stores or restaurants, they scan the food's ingredient label with their device's camera. This instantly displays the ingredient information on the device, or sends it to a server if further analysis is required. 【0369】 Step 8: 【0370】 The server generates dietary advice tailored to the user's current health status and goals based on ingredient information. The device then uses the feedback from the server to provide suggestions to help the user make healthier choices. 【0371】 In this way, the system provides personalized support based on data entry, analysis, and emotion recognition, enabling users to manage their health on a daily basis. 【0372】 (Example 2) 【0373】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0374】 In modern life, many individuals recognize the importance of health management, but often find it difficult to implement it in an effective and sustainable way. Furthermore, comprehensive health management requires a holistic approach encompassing diet, exercise, and sleep, and ideally, an individual's emotional state should also be considered. However, the limited means available for easily implementing this in daily life can hinder the continuation of these practices. 【0375】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0376】 In this invention, the server includes means for acquiring and analyzing information, means for recognizing the user's emotions and providing personalized responses, and means for supporting lifestyle choices. This makes it easier for users to maintain comprehensive health management and receive advice tailored to their individual circumstances in real time. 【0377】 A "user" refers to an individual who uses the system to manage their own health status. 【0378】 "Lifestyle habits" refers to the collective actions and habits that individuals engage in in their daily lives, such as eating, exercising, and sleeping. 【0379】 "Information" refers to data related to lifestyle habits entered by the user through the system, and specifically includes things like diet, exercise time, and sleep time. 【0380】 A "specialized algorithm" refers to a computational procedure used to analyze input information and generate advice tailored to the user. 【0381】 "Emotions" refer to the psychological state recognized from the user's voice and facial expressions, and the system takes this into account to provide personalized support. 【0382】 "Visual representation" is a general term for animated characters and graphics used to provide personalized services to users. 【0383】 "Food information" refers to specific data used for health management, such as ingredients and nutrients listed on food products. 【0384】 "Lifestyle choices" is a general term for the improvement measures and options for daily life that are proposed according to the user's health condition and goals. 【0385】 A "positive message" refers to a response generated by a system to acknowledge or encourage the user's efforts and achievements. 【0386】 This invention is an information processing system that analyzes information related to lifestyle habits and provides personalized advice. This system is mainly implemented using terminals and servers. 【0387】 First, the user uses an application on their device to input information about their lifestyle. This information specifically includes details about their diet, exercise time, and sleep duration. The device retrieves this data and sends it to the server via a secure protocol. 【0388】 The server is equipped with specialized algorithms that analyze the lifestyle information transmitted to the user. The analysis generates optimal advice for the user, considering factors such as nutritional balance and exercise levels. Furthermore, the device's built-in emotion recognition engine analyzes the user's voice tone and facial expressions. This allows the server to adjust the advice based on the user's emotional state. 【0389】 In terms of visual representation, the server determines the animated character's facial expressions and messages based on analysis and emotion recognition results. The terminal retrieves this information and provides feedback in a user-friendly format. For example, if the user is feeling stressed, the animated character will convey an encouraging message. Conversely, if the user is in a positive emotional state, the character will convey a positive message. 【0390】 Furthermore, the device has a function to scan food ingredient labels, allowing users to check the ingredient information of food before purchasing. The scanned ingredient information is sent to a server, which generates advice to help users make dietary choices tailored to their health condition and goals. 【0391】 By using generative AI models, it is possible to provide detailed, personalized support that takes into account the user's lifestyle data and emotional state. This allows users to maintain high motivation for health management and continuously make optimal choices. 【0392】 Examples of prompt messages include: "The user entered today's exercise data, but the emotion engine detected a tired voice. What encouraging message would you have the character say?" and "The user scanned a food ingredient label. It contains high-calorie foods. What healthy alternative would you suggest?" 【0393】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0394】 Step 1: 【0395】 The user inputs information related to their lifestyle into the device. Specifically, they use the application's input form to enter details such as what they ate (e.g., what they had for breakfast), exercise time (e.g., 30 minutes of running), and sleep time (e.g., 7 hours). This input data forms the basis for the next processing step and is prepared to be sent to the server. 【0396】 Step 2: 【0397】 The terminal sends the input data to the server. The data is encrypted and transmitted via a secure protocol. The server stores the received data in a database for analysis. This gives the server the input information needed for subsequent analysis processing. 【0398】 Step 3: 【0399】 The server performs data analysis. Using specialized algorithms, it evaluates nutrient deficiencies or excesses from dietary data, calorie expenditure from exercise data, and rest quality from sleep data. Based on the analysis, the generated AI model outputs specific health advice. For example, it might output advice such as, "You are deficient in vitamin C. Add some fruit to your diet." 【0400】 Step 4: 【0401】 The device recognizes the user's emotions. The emotion recognition engine analyzes the user's voice tone and facial expressions in real time to evaluate their emotional state. The obtained emotional data is then sent to a server and used to adjust the advice. This process outputs the user's psychological state. 【0402】 Step 5: 【0403】 The server uses emotional data to adjust the advice it provides. For example, if a user is feeling stressed, the advice is adjusted to have a more encouraging tone. This information is then translated into a visual representation as personalized animations. 【0404】 Step 6: 【0405】 The server generates a visual representation and sends it to the terminal. The character's facial expressions and messages are determined and sent back to the terminal. This prepares the terminal to provide visual feedback to the user. 【0406】 Step 7: 【0407】 The device provides feedback to the user. An animated character conveys the analysis results and tailored advice. By receiving encouraging and positive messages, users can maintain high motivation for health management. In this step, users can obtain specific advice and information tailored to their needs. 【0408】 (Application Example 2) 【0409】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0410】 Traditional health management systems lacked the ability to provide personalized advice that considered the user's emotions, making it difficult to maintain motivation. Furthermore, efficient health support integrated with home-use devices was not adequately realized. As a result, users found it difficult to continuously pursue their health goals. 【0411】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0412】 In this invention, the server includes means for analyzing the user's voice and facial expressions and evaluating their emotional state, means for adjusting the advice tone and character response based on the emotional state, and means for supporting health management in cooperation with home devices. This makes it possible to provide optimal advice and messages according to the user's emotional state and to support the user's health management as an efficient system in cooperation with home devices. 【0413】 An "information processing device" is a device that has the function of inputting and analyzing data and providing specific instructions or advice based on that data. 【0414】 "User" refers to an individual who uses an information processing device to input data related to diet, exercise, and sleep, and receives support for health management. 【0415】 "Data" refers to information about food, exercise, and sleep entered by users, which is used to assess health status and provide advice. 【0416】 "Means for analysis" refers to a method or apparatus for analyzing acquired data using a specific algorithm or program and converting it into useful information. 【0417】 "Character illustrations" are animated images of people, animals, and other subjects that are displayed on the screen of an information processing device and used to visually provide advice and feedback to the user. 【0418】 "Individualized advice" refers to specific suggestions and instructions provided to assist with personalized health management, based on the data entered by the user and the analysis results. 【0419】 "Means for reading food ingredient labels" refers to a device or program used to acquire ingredient information listed on product packaging as digital data. 【0420】 "Ingredient information" refers to data that influences users' food choices, such as the nutrients and calories contained in food. 【0421】 "Emotional state" refers to the psychological state of the user as conveyed through their facial expressions and tone of voice, and is evaluated using emotion recognition technology. 【0422】 "Advice tone" refers to the tone and nuance of advice that is adjusted based on the emotional state of the person giving the advice. 【0423】 "Character response" refers to responses and feedback actions to the user that change according to emotions and situations, using character illustrations. 【0424】 "Household appliances" refer to electrical appliances and communication devices that users use on a daily basis in their homes, and are used in conjunction with information processing devices to support health management. 【0425】 An embodiment of this invention is a health management system using a robot as a consumer device. The system allows the user to input daily lifestyle data such as meals, exercise, and sleep, and uses this information to monitor their health. The terminal is equipped with a voice input device and a camera, and evaluates the user's emotional state by analyzing the user's voice and facial expressions using an emotion recognition engine. 【0426】 The analyzed data is sent to a server, where a data analysis algorithm generates health advice. This advice is presented visually using user-friendly character illustrations. Furthermore, the advice tone and message are adjusted based on emotional information, enabling a more relatable and effective interaction with the user. 【0427】 The system also has a food label scanning function, automatically retrieving ingredient information at the time of purchase and sending it to the server. As a result, it provides advice to support optimal dietary choices based on the user's current health status and management goals. 【0428】 As a concrete example, if a user asks the robot, "How much exercise should I do today?", the system can provide advice such as, "Try walking a little more today!" through a character illustration, based on the user's current health data and emotional state. Furthermore, in response to a prompt like, "I feel like I haven't been getting enough sleep lately. Do you have any suggestions for improvement?", the system will suggest optimal solutions based on a dedicated algorithm. In this way, users can receive personalized support tailored to their emotions while continuously working towards achieving their health goals. 【0429】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0430】 Step 1: 【0431】 The device acquires data on diet, exercise, and sleep from the user via a voice input device. This data is entered as direct information about the user's lifestyle. 【0432】 Step 2: 【0433】 The device uses its camera to analyze the user's facial expressions, and an emotion recognition engine evaluates the user's emotional state. In this process, data calculations are performed using an emotion model based on the acquired facial expression data, and an emotion score is output. 【0434】 Step 3: 【0435】 The device sends the acquired lifestyle data and emotional score to the server. The server receives this information and stores it in a database. This process converts the input data into a recording format and classifies it into appropriate categories. 【0436】 Step 4: 【0437】 The server applies a data analysis algorithm to assess the user's health status. Based on the input data, it performs statistical analysis and generates personalized health advice. The output is presented as specific advice text. 【0438】 Step 5: 【0439】 The server adjusts the tone of the advice generated using the emotion score. Using the acquired emotion score as input, the generation AI model individualizes the advice tone and outputs the adjusted advice. 【0440】 Step 6: 【0441】 The device presents the user with individually tailored advice received from the server, using character illustrations. It provides audio and visual feedback, suggesting specific actions to take. 【0442】 Step 7: 【0443】 When a user purchases food, the terminal scans the ingredient label and sends the ingredient information to a server. The server performs data calculations based on the ingredient information and outputs dietary options tailored to the user's health condition. 【0444】 Step 8: 【0445】 The device presents the user with recommended options from the server. Specifically, a character provides visual and audio advice on choosing meals, supporting the user's daily decisions. 【0446】 The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0447】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0448】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214. 【0449】 [Third Embodiment] 【0450】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0451】 As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server. 【0452】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0453】 The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52. 【0454】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0455】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0456】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0457】 Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0458】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0459】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0460】 In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0461】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal". 【0462】 This invention provides a method and system for managing a user's health data and providing personalized advice using animated characters. The system will be described in detail below. 【0463】 This system consists of an information processing device, that is, a terminal owned by the user, and a server that is linked to it. 【0464】 Data management for diet, exercise, and sleep 【0465】 Users input information about their daily meals, exercise, and sleep using a dedicated application on their device. For example, a user might enter information such as "bagel and coffee" for breakfast, "30 minutes of jogging" for exercise, and "7 hours of sleep" for sleep. The device stores this information in a local database and sends it to a server for analysis. 【0466】 Data analysis and provision of advice 【0467】 The server receives data sent from the terminal and analyzes it using a dedicated algorithm. This analysis, for example, detects the user's calorie intake and any deficiencies in essential nutrients. Based on the analysis results, the server generates personalized advice for healthy eating and exercise for the user. 【0468】 Messaging by characters 【0469】 The generated advice is displayed on the device through an animated character selected by the user. The character encourages the user, for example, saying, "Great job today! Let's try something more challenging next time!", thereby boosting the user's motivation. 【0470】 Food selection assistance through scanning ingredient labels 【0471】 When users select food items at convenience stores or restaurants, they can scan product labels with the camera on their device. The device sends this information to a server, which then provides recommendations for healthier food choices. In this way, users can make healthier choices in their daily diet. 【0472】 As described above, this invention is a system that supports users' daily health management in a fun and meaningful way through interaction with animated characters. This system increases the user's incentive to achieve their health goals and enables them to maintain their health in the long term. 【0473】 The following describes the processing flow. 【0474】 Step 1: 【0475】 Users launch a dedicated application on their device and input data on their meals, exercise, and sleep. Specifically, they type or select information such as the specific items of their meals, the type and duration of their exercise, and their sleep duration on the input screen. Users can input this data at the end of the day or after each activity is completed. 【0476】 Step 2: 【0477】 The terminal collects the data entered by the user, organizes the input, and then saves it to a local database. During this process, a simple check is performed to verify input errors and data integrity. After verification, the data is ready to be sent to the server via the communication module. 【0478】 Step 3: 【0479】 Data is sent from the terminal to the server. The server stores the received data in a database for analysis. At this stage, the server saves each user's data set, along with time and date information. 【0480】 Step 4: 【0481】 The server analyzes the stored data. This analysis includes comparing the user's past trends and recommended nutrients, utilizing a system that automatically generates health advice as needed. Specific information, such as calorie surplus or deficit in diet and exercise balance, is presented as part of the analysis results. 【0482】 Step 5: 【0483】 The generated advice and analysis results are converted into messages from animated characters and sent to the terminal through characters tailored to the user's preferences and settings. The server uses different expression styles for each character to tailor the advice. 【0484】 Step 6: 【0485】 The terminal displays messages received from the server to the user in an animated format. In this animation, a character encourages the user and urges them to work hard towards a specific goal. 【0486】 Step 7: 【0487】 When users select food items at convenience stores or restaurants, they use the camera function on their device to scan the food's ingredient label. This information is either immediately analyzed on the device or sent to a server for analysis. 【0488】 Step 8: 【0489】 Based on the acquired ingredient information, the server generates advice on food selection suitable for the user's health condition and current goals. Healthier alternatives are also provided if necessary. 【0490】 Step 9: 【0491】 The device displays recommendations from the server, which the user uses as a reference when making their actual choices. Through this iterative process, users can acquire knowledge and awareness that are useful for maintaining their health in their daily choices. 【0492】 (Example 1) 【0493】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0494】 In modern society, proper nutrition, exercise, and rest are crucial for maintaining personal health. However, it is difficult for the average person to manage these in a balanced way in their daily life, and support is needed to help them. In particular, a challenge is how to effectively utilize the results of health data analysis and provide personalized, optimal advice. 【0495】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0496】 In this invention, the server includes means for generating personalized advice for the user based on analysis results using a generative AI model, means for providing the personalized advice using an animated character, and means for preparing prompt sentences for the generative AI model. This makes it possible for the user to receive specific guidance tailored to their health condition in an enjoyable way. 【0497】 "Nutritional data" refers to information about the energy and nutrients obtained from the food and beverages that users consume in their daily lives. 【0498】 "Physical activity data" refers to information obtained from the exercise and daily physical activities performed by the user, and includes the type and duration of exercise, calories burned, and so on. 【0499】 "Rest data" refers to information about the user's sleep duration and rest periods, and includes data on the quality and length of individual sleep. 【0500】 A "generative AI model" is an artificial intelligence model that automatically generates personalized advice and suggestions based on the input data. 【0501】 An "animated character" is a character that is visually and dynamically represented, and is an element that interacts with the user on a user interface. 【0502】 A "prompt" is a written instruction or question given to a generative AI model in order to achieve a specific output. 【0503】 "Consumer goods" refer to consumable products, including food and beverages, and are items used and consumed in the daily lives of users. 【0504】 An "ingredient label" refers to a part of the label attached to a consumer product that lists the ingredients and nutritional information contained in that product. 【0505】 This invention relates to a system that manages personal health data and provides individualized advice using a user-accessible information processing terminal and a server that interacts with it. This system operates through dedicated application software. 【0506】 Users input their nutritional data, physical activity data, and rest data using an application on their device. For example, they can input information such as "I ate oatmeal for breakfast," "I went for a one-hour walk," or "I slept for eight hours." 【0507】 The terminal saves the entered data to a local database and then sends the data to the server via a secure communication channel. This communication uses commonly used encryption protocols. 【0508】 The server analyzes the received data and evaluates the user's health status. Generative AI models are used for the analysis. Based on the input data, the model calculates indicators such as calorie intake and nutritional balance, and determines any nutrient deficiencies or excesses / deficiencies in exercise. 【0509】 The generative AI model uses prompts to generate specific advice. For example, it might use a prompt like, "Please provide advice on how to improve a calcium deficiency." 【0510】 The advice generated on the server is displayed on the device via an animated character. The character provides advice, encouragement, and suggestions in an interactive manner with the user. For example, it might display something like, "Great job today! Let's try to keep it up longer next time." 【0511】 Furthermore, when users select consumer goods while out and about, they can use their device's camera to scan product labels and send ingredient information to a server. The server analyzes this information and provides recommendations to help users choose appropriate consumer goods based on their health condition. For example, it might advise, "This food is high in salt, so please consider other options." 【0512】 This system allows users to manage their health goals in an enjoyable way and maintain their health in the long term. 【0513】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0514】 Step 1: 【0515】 The user inputs nutritional data, physical activity data, and rest data using an information processing terminal. For example, they might input "I ate bread for breakfast," "I went for a 20-minute jog," and "I slept for 7 hours." This input data is temporarily stored in the terminal's local database. 【0516】 Step 2: 【0517】 The device sends the stored data to the server. For security reasons, the data is encrypted before transmission. The input data consists of detailed information about nutritional intake, exercise time, and sleep duration, which is then output as received data on the server. 【0518】 Step 3: 【0519】 The server applies a specialized algorithm to analyze the received data. Using the input data, it calculates calories and evaluates the balance of nutrients, determining any nutrient deficiencies or excesses / deficiencies in exercise. This analysis result becomes the input data for the next step. 【0520】 Step 4: 【0521】 The server uses a generative AI model to generate personalized advice based on the analysis results. Taking the prompt "Please provide advice on how to improve calcium deficiency" as input, the generative AI model constructs specific advice. The output is an advice statement such as "Consume more dairy products." 【0522】 Step 5: 【0523】 The server visualizes the generated advice through an animated character and sends it to the device. On the device, the character displays a message on the screen saying, "Your workout today was good. Keep it up!" to boost the user's motivation. 【0524】 Step 6: 【0525】 When shopping, users scan the ingredient labels of consumer goods using their device's camera. This input data contains the food's ingredient information, which the device then sends to a server. The server analyzes the input ingredient information and outputs food selection advice, such as, "This product is low in calories, so we recommend it." 【0526】 (Application Example 1) 【0527】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0528】 In today's living environment, it is difficult for individual users to manage their daily health in an enjoyable and sustainable way. Conventional health management systems suffer from the problem of being monotonous and making it difficult to maintain motivation. This invention aims to realize a system that enhances user motivation and makes daily health management more enjoyable and efficient by providing interactive health advice using animated characters. 【0529】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0530】 In this invention, the server includes means for the user to input data related to food, exercise, and sleep; means for acquiring and analyzing the acquired data; and means for providing personalized advice to the user using an electronic character on a home or portable device. This enables the user to manage their health in an enjoyable and sustainable way through interaction with the character. 【0531】 A "user" is defined as the entity that inputs data related to food, exercise, and sleep. 【0532】 "Data" refers to information about lifestyle habits such as food intake, exercise content, and sleep duration. 【0533】 "Analysis" refers to the process of evaluating a user's health status based on acquired data and generating personalized advice. 【0534】 An "electronic character" is an interactive graphic animation displayed on a digital device that serves to provide health advice to the user. 【0535】 An "imaging device" is a camera or other equipment used to acquire information about the components of food. 【0536】 "Nutritional selection" is the act of choosing a diet that is appropriate for one's health condition based on information about its components. 【0537】 "Interaction" refers to the act of communication between the user and the electronic character, where information and feedback are exchanged. 【0538】 The system implementing this invention is based on a server that interacts with a user's portable device. The user uses a smartphone or consumer robot to input data related to food, exercise, and sleep. The device then uses image sensors and microphones to capture the data as input. The input data is transmitted to the server via a communication network. 【0539】 The server executes analysis algorithms provided within the program to perform nutritional information analysis of food products and calculate exercise load. It uses Python and the Pandas library for efficient data analysis based on health status. Based on the analysis results, it generates personalized health advice for the user. 【0540】 The generated advice is delivered to the user through an animated character displayed on a home or portable device. Unity or Unreal Engine is used for the character's movements, providing a friendly and interactive user experience. Users can ask the character questions through prompts. For example, prompts such as "How was my workout today?" or "What should I eat tomorrow?" will prompt the system to provide appropriate feedback. 【0541】 This system allows users to manage their health in an enjoyable way in their daily lives and maintain sustainable health. 【0542】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0543】 Step 1: 【0544】 Users use a smartphone or consumer robot to input data about food, exercise, and sleep via voice or manually. Examples of input data include "two rice balls, salad" for food, or "30 minutes of jogging" for exercise. The entered data is stored in the device's local database. 【0545】 Step 2: 【0546】 The device sends the stored data to a cloud server. The input data sent includes the type of food consumed, exercise details, and sleep duration. The server receives this data and prepares it for analysis. 【0547】 Step 3: 【0548】 The server analyzes the received data. First, it calculates calories and nutrients based on food data, and then calculates calorie expenditure using exercise data. It uses sleep data to evaluate sleep quality and quantity. Python and Pandas libraries are used for this process. The analysis results are output and passed to the next advice generation step. 【0549】 Step 4: 【0550】 The server generates personalized health advice based on the analysis results. This advice may include suggestions for nutritional balance and exercise recommendations. The generated advice is then prepared to be delivered by an animated character chosen by the user. 【0551】 Step 5: 【0552】 An animated character appears on the device and offers advice to the user. The character uses friendly messages, such as encouraging prompts like, "Your run today was great! When should we run again?" This fosters interaction with the user. 【0553】 Step 6: 【0554】 In interactions with the character, users can request additional information or ask questions through prompts. For example, they might type, "How's today's nutritional balance?" and receive corresponding feedback. A generative AI model processes these interactions and provides the user with accurate information. 【0555】 Through this series of processes, users can easily manage their health in their daily lives and maintain sustainable health. 【0556】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0557】 This invention provides a health management system that combines an animated character and emotion recognition in an information processing device. This system allows users to input daily diet, exercise, and sleep data on a terminal, and provides personalized advice based on this data through the character. Furthermore, it incorporates an emotion engine that recognizes the user's emotions to further personalize the advice and the character's responses. 【0558】 Basic data management and analysis 【0559】 Users record information such as the specifics of their meals, exercise time, and sleep time using an input form on their device. This data is immediately sent from the device to the server, which stores the received data in a segment for analysis. On the server side, specialized algorithms analyze this data and generate advice from a health management perspective. 【0560】 Optimizing user responses using emotion recognition 【0561】 The device is equipped with an emotion engine that senses parameters such as the user's voice tone and facial expressions, and evaluates the user's emotional state. For example, if a user is dissatisfied with the application, the emotion engine detects this, and the server uses that information to adjust the tone of advice and the character's response. This enables more user-friendly and effective communication. 【0562】 Interactive feedback from characters 【0563】 The server changes the character's facial expressions and messages based on analysis and emotion recognition results. For example, it sends encouraging words to users who are feeling down, and more positive messages to users who are in a cheerful mood. This allows users to have an experience that goes beyond simply inputting data, helping them maintain motivation to actively continue managing their health. 【0564】 Scanning and utilizing food ingredient labels 【0565】 When users purchase food, scanning the ingredient label with their device sends that information to a server, allowing them to receive advice that supports their health status and current management goals in choosing appropriate foods. This feature helps support health-related decisions in daily food selection. 【0566】 This invention provides a system that comprehensively supports users' health management through data input, analysis, emotion recognition, and character-based interaction. Users can pursue their health goals in an enjoyable and continuous manner by receiving personalized responses tailored to their emotions and circumstances. 【0567】 The following describes the processing flow. 【0568】 Step 1: 【0569】 The user launches an application on their device and enters data about their meals, exercise, and sleep. For example, a user might record "fruit salad" for breakfast, "20 minutes of yoga" for exercise, and "6 hours" for sleep. The entered data is stored in the device's local database and prepared for transmission to the server. 【0570】 Step 2: 【0571】 The terminal collects user data and sends it to the server in an encrypted format. The data includes the date, time, and specific activity entered. On the server side, the received data is stored in a specific segment for analysis. 【0572】 Step 3: 【0573】 The server analyzes the stored user data. During the analysis, it evaluates calorie intake, nutrient deficiencies or excesses, and exercise levels, making an overall assessment of the user's health status. This analysis then generates personalized health advice tailored to the user. 【0574】 Step 4: 【0575】 The device activates its built-in emotion engine to analyze the user's emotions from their facial expressions and voice. For example, if the user is smiling while entering data, the emotion "happy" is detected. The emotion engine sends this information to the server. 【0576】 Step 5: 【0577】 The server combines the analysis results with emotional information obtained from the emotion engine to generate appropriate messages for the character to the user. For example, it might provide positive feedback such as, "Your exercise and meals are going well today! Keep it up!" 【0578】 Step 6: 【0579】 The device provides feedback to the user through animated messages featuring characters. The characters' facial expressions and voices also change according to the user's emotional state, enriching the interaction with the user. 【0580】 Step 7: 【0581】 When users select food items at convenience stores or restaurants, they scan the food's ingredient label with their device's camera. This instantly displays the ingredient information on the device, or sends it to a server if further analysis is required. 【0582】 Step 8: 【0583】 The server generates dietary advice tailored to the user's current health status and goals based on ingredient information. The device then uses the feedback from the server to provide suggestions to help the user make healthier choices. 【0584】 In this way, the system provides personalized support based on data entry, analysis, and emotion recognition, enabling users to manage their health on a daily basis. 【0585】 (Example 2) 【0586】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0587】 In modern life, many individuals recognize the importance of health management, but often find it difficult to implement it in an effective and sustainable way. Furthermore, comprehensive health management requires a holistic approach encompassing diet, exercise, and sleep, and ideally, an individual's emotional state should also be considered. However, the limited means available for easily implementing this in daily life can hinder the continuation of these practices. 【0588】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0589】 In this invention, the server includes means for acquiring and analyzing information, means for recognizing the user's emotions and providing personalized responses, and means for supporting lifestyle choices. This makes it easier for users to maintain comprehensive health management and receive advice tailored to their individual circumstances in real time. 【0590】 A "user" refers to an individual who uses the system to manage their own health status. 【0591】 "Lifestyle habits" refers to the collective actions and habits that individuals engage in in their daily lives, such as eating, exercising, and sleeping. 【0592】 "Information" refers to data related to lifestyle habits entered by the user through the system, and specifically includes things like diet, exercise time, and sleep time. 【0593】 A "specialized algorithm" refers to a computational procedure used to analyze input information and generate advice tailored to the user. 【0594】 "Emotions" refer to the psychological state recognized from the user's voice and facial expressions, and the system takes this into account to provide personalized support. 【0595】 "Visual representation" is a general term for animated characters and graphics used to provide personalized services to users. 【0596】 "Food information" refers to specific data used for health management, such as ingredients and nutrients listed on food products. 【0597】 "Lifestyle choices" is a general term for the improvement measures and options for daily life that are proposed according to the user's health condition and goals. 【0598】 A "positive message" refers to a response generated by a system to acknowledge or encourage the user's efforts and achievements. 【0599】 This invention is an information processing system that analyzes information related to lifestyle habits and provides personalized advice. This system is mainly implemented using terminals and servers. 【0600】 First, the user uses an application on their device to input information about their lifestyle. This information specifically includes details about their diet, exercise time, and sleep duration. The device retrieves this data and sends it to the server via a secure protocol. 【0601】 The server is equipped with specialized algorithms that analyze the lifestyle information transmitted to the user. The analysis generates optimal advice for the user, considering factors such as nutritional balance and exercise levels. Furthermore, the device's built-in emotion recognition engine analyzes the user's voice tone and facial expressions. This allows the server to adjust the advice based on the user's emotional state. 【0602】 In terms of visual representation, the server determines the animated character's facial expressions and messages based on analysis and emotion recognition results. The terminal retrieves this information and provides feedback in a user-friendly format. For example, if the user is feeling stressed, the animated character will convey an encouraging message. Conversely, if the user is in a positive emotional state, the character will convey a positive message. 【0603】 Furthermore, the device has a function to scan food ingredient labels, allowing users to check the ingredient information of food before purchasing. The scanned ingredient information is sent to a server, which generates advice to help users make dietary choices tailored to their health condition and goals. 【0604】 By using generative AI models, it is possible to provide detailed, personalized support that takes into account the user's lifestyle data and emotional state. This allows users to maintain high motivation for health management and continuously make optimal choices. 【0605】 Examples of prompt messages include: "The user entered today's exercise data, but the emotion engine detected a tired voice. What encouraging message would you have the character say?" and "The user scanned a food ingredient label. It contains high-calorie foods. What healthy alternative would you suggest?" 【0606】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0607】 Step 1: 【0608】 The user inputs information related to their lifestyle into the device. Specifically, they use the application's input form to enter details such as what they ate (e.g., what they had for breakfast), exercise time (e.g., 30 minutes of running), and sleep time (e.g., 7 hours). This input data forms the basis for the next processing step and is prepared to be sent to the server. 【0609】 Step 2: 【0610】 The terminal sends the input data to the server. The data is encrypted and transmitted via a secure protocol. The server stores the received data in a database for analysis. This gives the server the input information needed for subsequent analysis processing. 【0611】 Step 3: 【0612】 The server performs data analysis. Using specialized algorithms, it evaluates nutrient deficiencies or excesses from dietary data, calorie expenditure from exercise data, and rest quality from sleep data. Based on the analysis, the generated AI model outputs specific health advice. For example, it might output advice such as, "You are deficient in vitamin C. Add some fruit to your diet." 【0613】 Step 4: 【0614】 The device recognizes the user's emotions. The emotion recognition engine analyzes the user's voice tone and facial expressions in real time to evaluate their emotional state. The obtained emotional data is then sent to a server and used to adjust the advice. This process outputs the user's psychological state. 【0615】 Step 5: 【0616】 The server uses emotional data to adjust the advice it provides. For example, if a user is feeling stressed, the advice is adjusted to have a more encouraging tone. This information is then translated into a visual representation as personalized animations. 【0617】 Step 6: 【0618】 The server generates a visual representation and sends it to the terminal. The character's facial expressions and messages are determined and sent back to the terminal. This prepares the terminal to provide visual feedback to the user. 【0619】 Step 7: 【0620】 The device provides feedback to the user. An animated character conveys the analysis results and tailored advice. By receiving encouraging and positive messages, users can maintain high motivation for health management. In this step, users can obtain specific advice and information tailored to their needs. 【0621】 (Application Example 2) 【0622】 Next, we will explain Application Example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0623】 Traditional health management systems lacked the ability to provide personalized advice that considered the user's emotions, making it difficult to maintain motivation. Furthermore, efficient health support integrated with home-use devices was not adequately realized. As a result, users found it difficult to continuously pursue their health goals. 【0624】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0625】 In this invention, the server includes means for analyzing the user's voice and facial expressions and evaluating their emotional state, means for adjusting the advice tone and character response based on the emotional state, and means for supporting health management in cooperation with home devices. This makes it possible to provide optimal advice and messages according to the user's emotional state and to support the user's health management as an efficient system in cooperation with home devices. 【0626】 An "information processing device" is a device that has the function of inputting and analyzing data and providing specific instructions or advice based on that data. 【0627】 "User" refers to an individual who uses an information processing device to input data related to diet, exercise, and sleep, and receives support for health management. 【0628】 "Data" refers to information about food, exercise, and sleep entered by users, which is used to assess health status and provide advice. 【0629】 "Means for analysis" refers to a method or apparatus for analyzing acquired data using a specific algorithm or program and converting it into useful information. 【0630】 "Character illustrations" are animated images of people, animals, and other subjects that are displayed on the screen of an information processing device and used to visually provide advice and feedback to the user. 【0631】 "Individualized advice" refers to specific suggestions and instructions provided to assist with personalized health management, based on the data entered by the user and the analysis results. 【0632】 "Means for reading food ingredient labels" refers to a device or program used to acquire ingredient information listed on product packaging as digital data. 【0633】 "Ingredient information" refers to data that influences users' food choices, such as the nutrients and calories contained in food. 【0634】 "Emotional state" refers to the psychological state of the user as conveyed through their facial expressions and tone of voice, and is evaluated using emotion recognition technology. 【0635】 "Advice tone" refers to the tone and nuance of advice that is adjusted based on the emotional state of the person giving the advice. 【0636】 "Character response" refers to responses and feedback actions to the user that change according to emotions and situations, using character illustrations. 【0637】 "Household appliances" refer to electrical appliances and communication devices that users use on a daily basis in their homes, and are used in conjunction with information processing devices to support health management. 【0638】 An embodiment of this invention is a health management system using a robot as a consumer device. The system allows the user to input daily lifestyle data such as meals, exercise, and sleep, and uses this information to monitor their health. The terminal is equipped with a voice input device and a camera, and evaluates the user's emotional state by analyzing the user's voice and facial expressions using an emotion recognition engine. 【0639】 The analyzed data is sent to a server, where a data analysis algorithm generates health advice. This advice is presented visually using user-friendly character illustrations. Furthermore, the advice tone and message are adjusted based on emotional information, enabling a more relatable and effective interaction with the user. 【0640】 The system also has a food label scanning function, automatically retrieving ingredient information at the time of purchase and sending it to the server. As a result, it provides advice to support optimal dietary choices based on the user's current health status and management goals. 【0641】 As a concrete example, if a user asks the robot, "How much exercise should I do today?", the system can provide advice such as, "Try walking a little more today!" through a character illustration, based on the user's current health data and emotional state. Furthermore, in response to a prompt like, "I feel like I haven't been getting enough sleep lately. Do you have any suggestions for improvement?", the system will suggest optimal solutions based on a dedicated algorithm. In this way, users can receive personalized support tailored to their emotions while continuously working towards achieving their health goals. 【0642】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0643】 Step 1: 【0644】 The device acquires data on diet, exercise, and sleep from the user via a voice input device. This data is entered as direct information about the user's lifestyle. 【0645】 Step 2: 【0646】 The device uses its camera to analyze the user's facial expressions, and an emotion recognition engine evaluates the user's emotional state. In this process, data calculations are performed using an emotion model based on the acquired facial expression data, and an emotion score is output. 【0647】 Step 3: 【0648】 The device sends the acquired lifestyle data and emotional score to the server. The server receives this information and stores it in a database. This process converts the input data into a recording format and classifies it into appropriate categories. 【0649】 Step 4: 【0650】 The server applies a data analysis algorithm to assess the user's health status. Based on the input data, it performs statistical analysis and generates personalized health advice. The output is presented as specific advice text. 【0651】 Step 5: 【0652】 The server adjusts the tone of the advice generated using the emotion score. Using the acquired emotion score as input, the generation AI model individualizes the advice tone and outputs the adjusted advice. 【0653】 Step 6: 【0654】 The device presents the user with individually tailored advice received from the server, using character illustrations. It provides audio and visual feedback, suggesting specific actions to take. 【0655】 Step 7: 【0656】 When a user purchases food, the terminal scans the ingredient label and sends the ingredient information to a server. The server performs data calculations based on the ingredient information and outputs dietary options tailored to the user's health condition. 【0657】 Step 8: 【0658】 The device presents the user with recommended options from the server. Specifically, a character provides visual and audio advice on choosing meals, supporting the user's daily decisions. 【0659】 The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0660】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0661】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314. 【0662】 [Fourth Embodiment] 【0663】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0664】 As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server. 【0665】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0666】 The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52. 【0667】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0668】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0669】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0670】 The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes. 【0671】 Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0672】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0673】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0674】 In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0675】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0676】 This invention provides a method and system for managing a user's health data and providing personalized advice using animated characters. The system will be described in detail below. 【0677】 This system consists of an information processing device, that is, a terminal owned by the user, and a server that is linked to it. 【0678】 Data management for diet, exercise, and sleep 【0679】 Users input information about their daily meals, exercise, and sleep using a dedicated application on their device. For example, a user might enter information such as "bagel and coffee" for breakfast, "30 minutes of jogging" for exercise, and "7 hours of sleep" for sleep. The device stores this information in a local database and sends it to a server for analysis. 【0680】 Data analysis and provision of advice 【0681】 The server receives data sent from the terminal and analyzes it using a dedicated algorithm. This analysis, for example, detects the user's calorie intake and any deficiencies in essential nutrients. Based on the analysis results, the server generates personalized advice for healthy eating and exercise for the user. 【0682】 Messaging by characters 【0683】 The generated advice is displayed on the device through an animated character selected by the user. The character encourages the user, for example, saying, "Great job today! Let's try something more challenging next time!", thereby boosting the user's motivation. 【0684】 Food selection assistance through scanning ingredient labels 【0685】 When users select food items at convenience stores or restaurants, they can scan product labels with the camera on their device. The device sends this information to a server, which then provides recommendations for healthier food choices. In this way, users can make healthier choices in their daily diet. 【0686】 As described above, this invention is a system that supports users' daily health management in a fun and meaningful way through interaction with animated characters. This system increases the user's incentive to achieve their health goals and enables them to maintain their health in the long term. 【0687】 The following describes the processing flow. 【0688】 Step 1: 【0689】 Users launch a dedicated application on their device and input data on their meals, exercise, and sleep. Specifically, they type or select information such as the specific items of their meals, the type and duration of their exercise, and their sleep duration on the input screen. Users can input this data at the end of the day or after each activity is completed. 【0690】 Step 2: 【0691】 The terminal collects the data entered by the user, organizes the input, and then saves it to a local database. During this process, a simple check is performed to verify input errors and data integrity. After verification, the data is ready to be sent to the server via the communication module. 【0692】 Step 3: 【0693】 Data is sent from the terminal to the server. The server stores the received data in a database for analysis. At this stage, the server saves each user's data set, along with time and date information. 【0694】 Step 4: 【0695】 The server analyzes the stored data. This analysis includes comparing the user's past trends and recommended nutrients, utilizing a system that automatically generates health advice as needed. Specific information, such as calorie surplus or deficit in diet and exercise balance, is presented as part of the analysis results. 【0696】 Step 5: 【0697】 The generated advice and analysis results are converted into messages from animated characters and sent to the terminal through characters tailored to the user's preferences and settings. The server uses different expression styles for each character to tailor the advice. 【0698】 Step 6: 【0699】 The terminal displays messages received from the server to the user in an animated format. In this animation, a character encourages the user and urges them to work hard towards a specific goal. 【0700】 Step 7: 【0701】 When users select food items at convenience stores or restaurants, they use the camera function on their device to scan the food's ingredient label. This information is either immediately analyzed on the device or sent to a server for analysis. 【0702】 Step 8: 【0703】 Based on the acquired ingredient information, the server generates advice on food selection suitable for the user's health condition and current goals. Healthier alternatives are also provided if necessary. 【0704】 Step 9: 【0705】 The device displays recommendations from the server, which the user uses as a reference when making their actual choices. Through this iterative process, users can acquire knowledge and awareness that are useful for maintaining their health in their daily choices. 【0706】 (Example 1) 【0707】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0708】 In modern society, proper nutrition, exercise, and rest are crucial for maintaining personal health. However, it is difficult for the average person to manage these in a balanced way in their daily life, and support is needed to help them. In particular, a challenge is how to effectively utilize the results of health data analysis and provide personalized, optimal advice. 【0709】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0710】 In this invention, the server includes means for generating personalized advice for the user based on analysis results using a generative AI model, means for providing the personalized advice using an animated character, and means for preparing prompt sentences for the generative AI model. This makes it possible for the user to receive specific guidance tailored to their health condition in an enjoyable way. 【0711】 "Nutritional data" refers to information about the energy and nutrients obtained from the food and beverages that users consume in their daily lives. 【0712】 "Physical activity data" refers to information obtained from the exercise and daily physical activities performed by the user, and includes the type and duration of exercise, calories burned, and so on. 【0713】 "Rest data" refers to information about the user's sleep duration and rest periods, and includes data on the quality and length of individual sleep. 【0714】 A "generative AI model" is an artificial intelligence model that automatically generates personalized advice and suggestions based on the input data. 【0715】 An "animated character" is a character that is visually and dynamically represented, and is an element that interacts with the user on a user interface. 【0716】 A "prompt" is a written instruction or question given to a generative AI model in order to achieve a specific output. 【0717】 "Consumer goods" refer to consumable products, including food and beverages, and are items used and consumed in the daily lives of users. 【0718】 An "ingredient label" refers to a part of the label attached to a consumer product that lists the ingredients and nutritional information contained in that product. 【0719】 This invention relates to a system that manages personal health data and provides individualized advice using a user-accessible information processing terminal and a server that interacts with it. This system operates through dedicated application software. 【0720】 Users input their nutritional data, physical activity data, and rest data using an application on their device. For example, they can input information such as "I ate oatmeal for breakfast," "I went for a one-hour walk," or "I slept for eight hours." 【0721】 The terminal saves the entered data to a local database and then sends the data to the server via a secure communication channel. This communication uses commonly used encryption protocols. 【0722】 The server analyzes the received data and evaluates the user's health status. Generative AI models are used for the analysis. Based on the input data, the model calculates indicators such as calorie intake and nutritional balance, and determines any nutrient deficiencies or excesses / deficiencies in exercise. 【0723】 The generative AI model uses prompts to generate specific advice. For example, it might use a prompt like, "Please provide advice on how to improve a calcium deficiency." 【0724】 The advice generated on the server is displayed on the device via an animated character. The character provides advice, encouragement, and suggestions in an interactive manner with the user. For example, it might display something like, "Great job today! Let's try to keep it up longer next time." 【0725】 Furthermore, when users select consumer goods while out and about, they can use their device's camera to scan product labels and send ingredient information to a server. The server analyzes this information and provides recommendations to help users choose appropriate consumer goods based on their health condition. For example, it might advise, "This food is high in salt, so please consider other options." 【0726】 This system allows users to manage their health goals in an enjoyable way and maintain their health in the long term. 【0727】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0728】 Step 1: 【0729】 The user inputs nutritional data, physical activity data, and rest data using an information processing terminal. For example, they might input "I ate bread for breakfast," "I went for a 20-minute jog," and "I slept for 7 hours." This input data is temporarily stored in the terminal's local database. 【0730】 Step 2: 【0731】 The device sends the stored data to the server. For security reasons, the data is encrypted before transmission. The input data consists of detailed information about nutritional intake, exercise time, and sleep duration, which is then output as received data on the server. 【0732】 Step 3: 【0733】 The server applies a specialized algorithm to analyze the received data. Using the input data, it calculates calories and evaluates the balance of nutrients, determining any nutrient deficiencies or excesses / deficiencies in exercise. This analysis result becomes the input data for the next step. 【0734】 Step 4: 【0735】 The server uses a generative AI model to generate personalized advice based on the analysis results. Taking the prompt "Please provide advice on how to improve calcium deficiency" as input, the generative AI model constructs specific advice. The output is an advice statement such as "Consume more dairy products." 【0736】 Step 5: 【0737】 The server visualizes the generated advice through an animated character and sends it to the device. On the device, the character displays a message on the screen saying, "Your workout today was good. Keep it up!" to boost the user's motivation. 【0738】 Step 6: 【0739】 When shopping, users scan the ingredient labels of consumer goods using their device's camera. This input data contains the food's ingredient information, which the device then sends to a server. The server analyzes the input ingredient information and outputs food selection advice, such as, "This product is low in calories, so we recommend it." 【0740】 (Application Example 1) 【0741】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0742】 In today's living environment, it is difficult for individual users to manage their daily health in an enjoyable and sustainable way. Conventional health management systems suffer from the problem of being monotonous and making it difficult to maintain motivation. This invention aims to realize a system that enhances user motivation and makes daily health management more enjoyable and efficient by providing interactive health advice using animated characters. 【0743】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0744】 In this invention, the server includes means for the user to input data related to food, exercise, and sleep; means for acquiring and analyzing the acquired data; and means for providing personalized advice to the user using an electronic character on a home or portable device. This enables the user to manage their health in an enjoyable and sustainable way through interaction with the character. 【0745】 A "user" is defined as the entity that inputs data related to food, exercise, and sleep. 【0746】 "Data" refers to information about lifestyle habits such as food intake, exercise content, and sleep duration. 【0747】 "Analysis" refers to the process of evaluating a user's health status based on acquired data and generating personalized advice. 【0748】 An "electronic character" is an interactive graphic animation displayed on a digital device that serves to provide health advice to the user. 【0749】 An "imaging device" is a camera or other equipment used to acquire information about the components of food. 【0750】 "Nutritional selection" is the act of choosing a diet that is appropriate for one's health condition based on information about its components. 【0751】 "Interaction" refers to the act of communication between the user and the electronic character, where information and feedback are exchanged. 【0752】 The system implementing this invention is based on a server that interacts with a user's portable device. The user uses a smartphone or consumer robot to input data related to food, exercise, and sleep. The device then uses image sensors and microphones to capture the data as input. The input data is transmitted to the server via a communication network. 【0753】 The server executes analysis algorithms provided within the program to perform nutritional information analysis of food products and calculate exercise load. It uses Python and the Pandas library for efficient data analysis based on health status. Based on the analysis results, it generates personalized health advice for the user. 【0754】 The generated advice is delivered to the user through an animated character displayed on a home or portable device. Unity or Unreal Engine is used for the character's movements, providing a friendly and interactive user experience. Users can ask the character questions through prompts. For example, prompts such as "How was my workout today?" or "What should I eat tomorrow?" will prompt the system to provide appropriate feedback. 【0755】 This system allows users to manage their health in an enjoyable way in their daily lives and maintain sustainable health. 【0756】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0757】 Step 1: 【0758】 Users use a smartphone or consumer robot to input data about food, exercise, and sleep via voice or manually. Examples of input data include "two rice balls, salad" for food, or "30 minutes of jogging" for exercise. The entered data is stored in the device's local database. 【0759】 Step 2: 【0760】 The device sends the stored data to a cloud server. The input data sent includes the type of food consumed, exercise details, and sleep duration. The server receives this data and prepares it for analysis. 【0761】 Step 3: 【0762】 The server analyzes the received data. First, it calculates calories and nutrients based on food data, and then calculates calorie expenditure using exercise data. It uses sleep data to evaluate sleep quality and quantity. Python and Pandas libraries are used for this process. The analysis results are output and passed to the next advice generation step. 【0763】 Step 4: 【0764】 The server generates personalized health advice based on the analysis results. This advice may include suggestions for nutritional balance and exercise recommendations. The generated advice is then prepared to be delivered by an animated character chosen by the user. 【0765】 Step 5: 【0766】 An animated character appears on the device and offers advice to the user. The character uses friendly messages, such as encouraging prompts like, "Your run today was great! When should we run again?" This fosters interaction with the user. 【0767】 Step 6: 【0768】 In interactions with the character, users can request additional information or ask questions through prompts. For example, they might type, "How's today's nutritional balance?" and receive corresponding feedback. A generative AI model processes these interactions and provides the user with accurate information. 【0769】 Through this series of processes, users can easily manage their health in their daily lives and maintain sustainable health. 【0770】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0771】 This invention provides a health management system that combines an animated character and emotion recognition in an information processing device. This system allows users to input daily diet, exercise, and sleep data on a terminal, and provides personalized advice based on this data through the character. Furthermore, it incorporates an emotion engine that recognizes the user's emotions to further personalize the advice and the character's responses. 【0772】 Basic data management and analysis 【0773】 Users record information such as the specifics of their meals, exercise time, and sleep time using an input form on their device. This data is immediately sent from the device to the server, which stores the received data in a segment for analysis. On the server side, specialized algorithms analyze this data and generate advice from a health management perspective. 【0774】 Optimizing user responses using emotion recognition 【0775】 The device is equipped with an emotion engine that senses parameters such as the user's voice tone and facial expressions, and evaluates the user's emotional state. For example, if a user is dissatisfied with the application, the emotion engine detects this, and the server uses that information to adjust the tone of advice and the character's response. This enables more user-friendly and effective communication. 【0776】 Interactive feedback from characters 【0777】 The server changes the character's facial expressions and messages based on analysis and emotion recognition results. For example, it sends encouraging words to users who are feeling down, and more positive messages to users who are in a cheerful mood. This allows users to have an experience that goes beyond simply inputting data, helping them maintain motivation to actively continue managing their health. 【0778】 Scanning and utilizing food ingredient labels 【0779】 When users purchase food, scanning the ingredient label with their device sends that information to a server, allowing them to receive advice that supports their health status and current management goals in choosing appropriate foods. This feature helps support health-related decisions in daily food selection. 【0780】 This invention provides a system that comprehensively supports users' health management through data input, analysis, emotion recognition, and character-based interaction. Users can pursue their health goals in an enjoyable and continuous manner by receiving personalized responses tailored to their emotions and circumstances. 【0781】 The following describes the processing flow. 【0782】 Step 1: 【0783】 The user launches an application on their device and enters data about their meals, exercise, and sleep. For example, a user might record "fruit salad" for breakfast, "20 minutes of yoga" for exercise, and "6 hours" for sleep. The entered data is stored in the device's local database and prepared for transmission to the server. 【0784】 Step 2: 【0785】 The terminal collects user data and sends it to the server in an encrypted format. The data includes the date, time, and specific activity entered. On the server side, the received data is stored in a specific segment for analysis. 【0786】 Step 3: 【0787】 The server analyzes the stored user data. During the analysis, it evaluates calorie intake, nutrient deficiencies or excesses, and exercise levels, making an overall assessment of the user's health status. This analysis then generates personalized health advice tailored to the user. 【0788】 Step 4: 【0789】 The device activates its built-in emotion engine to analyze the user's emotions from their facial expressions and voice. For example, if the user is smiling while entering data, the emotion "happy" is detected. The emotion engine sends this information to the server. 【0790】 Step 5: 【0791】 The server combines the analysis results with emotional information obtained from the emotion engine to generate appropriate messages for the character to the user. For example, it might provide positive feedback such as, "Your exercise and meals are going well today! Keep it up!" 【0792】 Step 6: 【0793】 The device provides feedback to the user through animated messages featuring characters. The characters' facial expressions and voices also change according to the user's emotional state, enriching the interaction with the user. 【0794】 Step 7: 【0795】 When users select food items at convenience stores or restaurants, they scan the food's ingredient label with their device's camera. This instantly displays the ingredient information on the device, or sends it to a server if further analysis is required. 【0796】 Step 8: 【0797】 The server generates dietary advice tailored to the user's current health status and goals based on ingredient information. The device then uses the feedback from the server to provide suggestions to help the user make healthier choices. 【0798】 In this way, the system provides personalized support based on data entry, analysis, and emotion recognition, enabling users to manage their health on a daily basis. 【0799】 (Example 2) 【0800】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0801】 In modern life, many individuals recognize the importance of health management, but often find it difficult to implement it in an effective and sustainable way. Furthermore, comprehensive health management requires a holistic approach encompassing diet, exercise, and sleep, and ideally, an individual's emotional state should also be considered. However, the limited means available for easily implementing this in daily life can hinder the continuation of these practices. 【0802】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0803】 In this invention, the server includes means for acquiring and analyzing information, means for recognizing the user's emotions and providing personalized responses, and means for supporting lifestyle choices. This makes it easier for users to maintain comprehensive health management and receive advice tailored to their individual circumstances in real time. 【0804】 A "user" refers to an individual who uses the system to manage their own health status. 【0805】 "Lifestyle habits" refers to the collective actions and habits that individuals engage in in their daily lives, such as eating, exercising, and sleeping. 【0806】 "Information" refers to data related to lifestyle habits entered by the user through the system, and specifically includes things like diet, exercise time, and sleep time. 【0807】 A "specialized algorithm" refers to a computational procedure used to analyze input information and generate advice tailored to the user. 【0808】 "Emotions" refer to the psychological state recognized from the user's voice and facial expressions, and the system takes this into account to provide personalized support. 【0809】 "Visual representation" is a general term for animated characters and graphics used to provide personalized services to users. 【0810】 "Food information" refers to specific data used for health management, such as ingredients and nutrients listed on food products. 【0811】 "Lifestyle choices" is a general term for the improvement measures and options for daily life that are proposed according to the user's health condition and goals. 【0812】 A "positive message" refers to a response generated by a system to acknowledge or encourage the user's efforts and achievements. 【0813】 This invention is an information processing system that analyzes information related to lifestyle habits and provides personalized advice. This system is mainly implemented using terminals and servers. 【0814】 First, the user uses an application on their device to input information about their lifestyle. This information specifically includes details about their diet, exercise time, and sleep duration. The device retrieves this data and sends it to the server via a secure protocol. 【0815】 The server is equipped with specialized algorithms that analyze the lifestyle information transmitted to the user. The analysis generates optimal advice for the user, considering factors such as nutritional balance and exercise levels. Furthermore, the device's built-in emotion recognition engine analyzes the user's voice tone and facial expressions. This allows the server to adjust the advice based on the user's emotional state. 【0816】 In terms of visual representation, the server determines the animated character's facial expressions and messages based on analysis and emotion recognition results. The terminal retrieves this information and provides feedback in a user-friendly format. For example, if the user is feeling stressed, the animated character will convey an encouraging message. Conversely, if the user is in a positive emotional state, the character will convey a positive message. 【0817】 Furthermore, the device has a function to scan food ingredient labels, allowing users to check the ingredient information of food before purchasing. The scanned ingredient information is sent to a server, which generates advice to help users make dietary choices tailored to their health condition and goals. 【0818】 By using generative AI models, it is possible to provide detailed, personalized support that takes into account the user's lifestyle data and emotional state. This allows users to maintain high motivation for health management and continuously make optimal choices. 【0819】 Examples of prompt messages include: "The user entered today's exercise data, but the emotion engine detected a tired voice. What encouraging message would you have the character say?" and "The user scanned a food ingredient label. It contains high-calorie foods. What healthy alternative would you suggest?" 【0820】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0821】 Step 1: 【0822】 The user inputs information related to their lifestyle into the device. Specifically, they use the application's input form to enter details such as what they ate (e.g., what they had for breakfast), exercise time (e.g., 30 minutes of running), and sleep time (e.g., 7 hours). This input data forms the basis for the next processing step and is prepared to be sent to the server. 【0823】 Step 2: 【0824】 The terminal sends the input data to the server. The data is encrypted and transmitted via a secure protocol. The server stores the received data in a database for analysis. This gives the server the input information needed for subsequent analysis processing. 【0825】 Step 3: 【0826】 The server performs data analysis. Using specialized algorithms, it evaluates nutrient deficiencies or excesses from dietary data, calorie expenditure from exercise data, and rest quality from sleep data. Based on the analysis, the generated AI model outputs specific health advice. For example, it might output advice such as, "You are deficient in vitamin C. Add some fruit to your diet." 【0827】 Step 4: 【0828】 The device recognizes the user's emotions. The emotion recognition engine analyzes the user's voice tone and facial expressions in real time to evaluate their emotional state. The obtained emotional data is then sent to a server and used to adjust the advice. This process outputs the user's psychological state. 【0829】 Step 5: 【0830】 The server uses emotional data to adjust the advice it provides. For example, if a user is feeling stressed, the advice is adjusted to have a more encouraging tone. This information is then translated into a visual representation as personalized animations. 【0831】 Step 6: 【0832】 The server generates a visual representation and sends it to the terminal. The character's facial expressions and messages are determined and sent back to the terminal. This prepares the terminal to provide visual feedback to the user. 【0833】 Step 7: 【0834】 The device provides feedback to the user. An animated character conveys the analysis results and tailored advice. By receiving encouraging and positive messages, users can maintain high motivation for health management. In this step, users can obtain specific advice and information tailored to their needs. 【0835】 (Application Example 2) 【0836】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0837】 Traditional health management systems lacked the ability to provide personalized advice that considered the user's emotions, making it difficult to maintain motivation. Furthermore, efficient health support integrated with home-use devices was not adequately realized. As a result, users found it difficult to continuously pursue their health goals. 【0838】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0839】 In this invention, the server includes means for analyzing the user's voice and facial expressions and evaluating their emotional state, means for adjusting the advice tone and character response based on the emotional state, and means for supporting health management in cooperation with home devices. This makes it possible to provide optimal advice and messages according to the user's emotional state and to support the user's health management as an efficient system in cooperation with home devices. 【0840】 An "information processing device" is a device that has the function of inputting and analyzing data and providing specific instructions or advice based on that data. 【0841】 "User" refers to an individual who uses an information processing device to input data related to diet, exercise, and sleep, and receives support for health management. 【0842】 "Data" refers to information about food, exercise, and sleep entered by users, which is used to assess health status and provide advice. 【0843】 "Means for analysis" refers to a method or apparatus for analyzing acquired data using a specific algorithm or program and converting it into useful information. 【0844】 "Character illustrations" are animated images of people, animals, and other subjects that are displayed on the screen of an information processing device and used to visually provide advice and feedback to the user. 【0845】 "Individualized advice" refers to specific suggestions and instructions provided to assist with personalized health management, based on the data entered by the user and the analysis results. 【0846】 "Means for reading food ingredient labels" refers to a device or program used to acquire ingredient information listed on product packaging as digital data. 【0847】 "Ingredient information" refers to data that influences users' food choices, such as the nutrients and calories contained in food. 【0848】 "Emotional state" refers to the psychological state of the user as conveyed through their facial expressions and tone of voice, and is evaluated using emotion recognition technology. 【0849】 "Advice tone" refers to the tone and nuance of advice that is adjusted based on the emotional state of the person giving the advice. 【0850】 "Character response" refers to responses and feedback actions to the user that change according to emotions and situations, using character illustrations. 【0851】 "Household appliances" refer to electrical appliances and communication devices that users use on a daily basis in their homes, and are used in conjunction with information processing devices to support health management. 【0852】 An embodiment of this invention is a health management system using a robot as a consumer device. The system allows the user to input daily lifestyle data such as meals, exercise, and sleep, and uses this information to monitor their health. The terminal is equipped with a voice input device and a camera, and evaluates the user's emotional state by analyzing the user's voice and facial expressions using an emotion recognition engine. 【0853】 The analyzed data is sent to a server, where a data analysis algorithm generates health advice. This advice is presented visually using user-friendly character illustrations. Furthermore, the advice tone and message are adjusted based on emotional information, enabling a more relatable and effective interaction with the user. 【0854】 The system also has a food label scanning function, automatically retrieving ingredient information at the time of purchase and sending it to the server. As a result, it provides advice to support optimal dietary choices based on the user's current health status and management goals. 【0855】 As a concrete example, if a user asks the robot, "How much exercise should I do today?", the system can provide advice such as, "Try walking a little more today!" through a character illustration, based on the user's current health data and emotional state. Furthermore, in response to a prompt like, "I feel like I haven't been getting enough sleep lately. Do you have any suggestions for improvement?", the system will suggest optimal solutions based on a dedicated algorithm. In this way, users can receive personalized support tailored to their emotions while continuously working towards achieving their health goals. 【0856】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0857】 Step 1: 【0858】 The device acquires data on diet, exercise, and sleep from the user via a voice input device. This data is entered as direct information about the user's lifestyle. 【0859】 Step 2: 【0860】 The device uses its camera to analyze the user's facial expressions, and an emotion recognition engine evaluates the user's emotional state. In this process, data calculations are performed using an emotion model based on the acquired facial expression data, and an emotion score is output. 【0861】 Step 3: 【0862】 The device sends the acquired lifestyle data and emotional score to the server. The server receives this information and stores it in a database. This process converts the input data into a recording format and classifies it into appropriate categories. 【0863】 Step 4: 【0864】 The server applies a data analysis algorithm to assess the user's health status. Based on the input data, it performs statistical analysis and generates personalized health advice. The output is presented as specific advice text. 【0865】 Step 5: 【0866】 The server adjusts the tone of the advice generated using the emotion score. Using the acquired emotion score as input, the generation AI model individualizes the advice tone and outputs the adjusted advice. 【0867】 Step 6: 【0868】 The device presents the user with individually tailored advice received from the server, using character illustrations. It provides audio and visual feedback, suggesting specific actions to take. 【0869】 Step 7: 【0870】 When a user purchases food, the terminal scans the ingredient label and sends the ingredient information to a server. The server performs data calculations based on the ingredient information and outputs dietary options tailored to the user's health condition. 【0871】 Step 8: 【0872】 The device presents the user with recommended options from the server. Specifically, a character provides visual and audio advice on choosing meals, supporting the user's daily decisions. 【0873】 The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0874】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0875】 In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414. 【0876】 Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion. 【0877】 Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together. 【0878】 These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression. 【0879】 The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become. 【0880】 Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant. 【0881】 The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more." 【0882】 The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values. 【0883】 The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format. 【0884】 In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data. 【0885】 In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56. 【0886】 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. 【0887】 Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56. 【0888】 The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory. 【0889】 The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor. 【0890】 Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources. 【0891】 Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose. 【0892】 The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above. 【0893】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference. 【0894】 The following is further disclosed regarding the embodiments described above. 【0895】 (Claim 1) 【0896】 In an information processing device, means for the user to input data related to food, exercise, and sleep, 【0897】 Means for acquiring the aforementioned data and analyzing the acquired data, 【0898】 Based on the aforementioned analysis results, a means for providing individualized advice to the user using character illustrations, 【0899】 A means of reading food ingredient labels, 【0900】 A means for supporting the user in making dietary choices according to their health condition using the aforementioned ingredient information, 【0901】 A system that includes this. 【0902】 (Claim 2) 【0903】 The system according to claim 1, further comprising means for modifying the individual advice based on a character set in advance by the user. 【0904】 (Claim 3) 【0905】 The system according to claim 1, further comprising means for the character to generate a message of praise in accordance with the user's data input status. 【0906】 "Example 1" 【0907】 (Claim 1) 【0908】 A means for users to input nutritional data, physical activity data, and rest data, 【0909】 Means for acquiring the aforementioned data and analyzing the acquired data, 【0910】 A means for generating personalized advice for the user based on the analysis results using a generative AI model, 【0911】 A means for providing the aforementioned individual advice using animated characters, 【0912】 A means of preparing prompt statements for a generative AI model, 【0913】 A means of reading the ingredient labels of consumer goods, 【0914】 A means for supporting the selection of consumer goods according to the user's health condition using the aforementioned ingredient information, 【0915】 A system that includes this. 【0916】 (Claim 2) 【0917】 The system according to claim 1, further comprising means for modifying the individual advice based on a character set in advance by the user. 【0918】 (Claim 3) 【0919】 The system according to claim 1, further comprising means for the character to generate an encouraging message in accordance with the user's data input status. 【0920】 "Application Example 1" 【0921】 (Claim 1) 【0922】 A means for users to input data related to food, exercise, and sleep, 【0923】 Means for acquiring the aforementioned data and analyzing the acquired data, 【0924】 A means of providing personalized advice to users using electronic characters within the home or on portable devices, 【0925】 A means equipped with an imaging device for acquiring information on the components of food, 【0926】 A means for supporting the selection of nutrients according to the user's health condition using the aforementioned ingredient information, 【0927】 A system that includes this. 【0928】 (Claim 2) 【0929】 The system according to claim 1, comprising means for changing an electronic character. 【0930】 (Claim 3) 【0931】 The system according to claim 1, wherein the electronic character is provided with means for generating encouraging messages according to the user's data input status. 【0932】 "Example 2 of combining an emotion engine" 【0933】 (Claim 1) 【0934】 A means for users to input information related to their lifestyle, 【0935】 A means for acquiring the aforementioned information and analyzing the acquired information based on a specialized algorithm, 【0936】 A means of recognizing the user's emotions, 【0937】 Based on the aforementioned analysis results and recognized emotions, a means for providing individualized responses to the user using visual representations, 【0938】 Means for interpreting information about food products, 【0939】 A means to support users in making lifestyle choices according to their health condition using the aforementioned information, 【0940】 A system that includes this. 【0941】 (Claim 2) 【0942】 The system according to claim 1, further comprising means for adjusting the individualized response based on the visual representation selected by the user. 【0943】 (Claim 3) 【0944】 The system according to claim 1, wherein the visual representation includes means for generating a positive message according to the user's information input status. 【0945】 "Application example 2 when combining with an emotional engine" 【0946】 (Claim 1) 【0947】 In an information processing device, means for the user to input data related to food, exercise, and sleep, 【0948】 Means for acquiring the aforementioned data and analyzing the acquired data, 【0949】 Based on the aforementioned analysis results, a means for providing individualized advice to the user using character illustrations, 【0950】 A means of reading food ingredient labels, 【0951】 A means for supporting the user in making dietary choices according to their health condition using the aforementioned ingredient information, 【0952】 A means for analyzing the user's voice and facial expressions to evaluate their emotional state, 【0953】 Means for adjusting the advice tone and character response based on the aforementioned emotional state, 【0954】 A means to support health management in conjunction with home devices, 【0955】 A system that includes this. 【0956】 (Claim 2) 【0957】 The system according to claim 1, further comprising means for modifying the individual advice based on a character set in advance by the user. 【0958】 (Claim 3) 【0959】 The system according to claim 1, wherein the character has means for generating a message of praise or encouragement according to the user's data input status and emotional state. [Explanation of symbols] 【0960】 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

[Claim 1] In an information processing device, means for the user to input data related to food, exercise, and sleep, Means for acquiring the aforementioned data and analyzing the acquired data, Based on the aforementioned analysis results, a means for providing individualized advice to the user using character illustrations, A means of reading food ingredient labels, A means for supporting the user in making dietary choices according to their health condition using the aforementioned ingredient information, A system that includes this. [Claim 2] The system according to claim 1, further comprising means for changing the individual advice based on a character set in advance by the user. [Claim 3] The system according to claim 1, further comprising means for the character to generate a message of praise in accordance with the user's data input status.

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