system

Abstract

We provide the system. [Solution] A communication device for acquiring the user's health information and suggesting optimal foods and meal menus based on said health information, A processing device for collecting data on food and menus from surrounding restaurants and retail establishments, An output device for providing the user with customized suggestions based on the health information and data from surrounding restaurants and retail establishments, 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, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a 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 modern times, although many individuals are required to consume appropriate diets based on their health conditions, it is difficult to select food ingredients and diet menus according to their health conditions. In addition, there is a problem that in food and beverage establishments and sales facilities that provide food choices, menus considering the health conditions of consumers are not sufficiently proposed. 【Means for Solving the Problems】 【0005】 To solve this problem, the present invention provides a system comprising a communication device that acquires a user's health information and proposes optimal foods and meal menus based on this information, a processing device that collects data on foods and menus from nearby restaurants and retail establishments, and an output device that analyzes the information and provides customized suggestions to the user. This system allows consumers to easily make optimal meal choices according to their health condition, and enables facilities to provide new services to health-conscious consumers. 【0006】 A "user" is an individual or group that uses this system, and is the person who provides health information and receives dietary suggestions. 【0007】 "Health information" refers to data that indicates the user's health status, including information necessary for health management, such as blood sugar levels, blood pressure, weight, and heart rate. 【0008】 "Food" refers to edible ingredients and products, including the health-appropriate options offered by this system. 【0009】 "Meal menu" refers to the specific dishes and meal contents offered at a food and beverage establishment, including those customized based on the user's health information. 【0010】 A "communication device" is a device that sends and receives data via a network in order to acquire health information from users and receive appropriate suggestions. 【0011】 A "food and beverage establishment" is a place that serves food and beverages, including restaurants and cafes. 【0012】 A "sales facility" is a place where food and beverages can be purchased, and includes supermarkets, convenience stores, and other similar establishments. 【0013】 A "processing unit" is a component within a system designed for data collection, analysis, and proposal generation, and it also handles data from surrounding facilities. 【0014】 An "output device" is a device that provides users with customized information based on analysis results, and transmits information through screen displays, audio output, etc. [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 the data processing device and smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined. 【Embodiments for Carrying Out the Invention】 【0016】 Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0017】 First, the terms used in the following description will be explained. 【0018】 In the following embodiments, a 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, a 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, a 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 is a system that suggests optimal foods and meal menus according to the user's health condition. This system mainly consists of a "communication device," a "processing device," and an "output device." 【0037】 First, users input their health information into the application using a device such as a smartphone or tablet. For example, they can manually enter data such as blood sugar levels and blood pressure, or scan and upload the results of a health checkup. The device then transmits this information to the server via a communication method. 【0038】 Next, the server processes the received health information to suggest suitable meals and foods for the user. The server searches a database of nearby restaurants and shops and lists menus and ingredients that meet the user's health needs. For example, for a user with diabetes, it extracts meal menus that actively include low-GI foods. 【0039】 The server then sends the processed information to the user, who receives and displays it on their device. The device displays a list of personalized meal plans based on the user's health status, as well as suitable restaurants and shops near their current location. This allows users to make optimal choices instantly when dining out or purchasing food. 【0040】 Users can review the suggested options on their devices and interact with other users through community features as needed. Within the community, they can exchange health-related information, share recipes, and even receive advice from nutritionists and health professionals. 【0041】 Thus, this system supports users in making food choices tailored to their individual health conditions and provides comprehensive support for achieving a healthy lifestyle. This embodiment can meet the diverse health needs of consumers and improve the quality of their diets. 【0042】 The following describes the processing flow. 【0043】 Step 1: 【0044】 The user launches the application on their device and enters their health information. This includes manually entering numerical data and uploading scanned health checkup results. 【0045】 Step 2: 【0046】 The device transmits the entered health information to the server via a communication device. Encryption technology is used for secure data transfer. 【0047】 Step 3: 【0048】 Based on the health information received by the server, the registered user profile is analyzed and indicators related to health status are calculated. 【0049】 Step 4: 【0050】 Based on the health status, the server queries a database of nearby restaurants and shops to list suitable food and menu options. 【0051】 Step 5: 【0052】 The server analyzes the listed information and generates customized suggestions tailored to the user's health initiatives. 【0053】 Step 6: 【0054】 The device receives customization suggestions sent from the server and displays them visually on the screen. 【0055】 Step 7: 【0056】 Users can use their devices to view details of suggested menus and food items and make selections. If necessary, they can share information and exchange opinions with other users through community features. 【0057】 (Example 1) 【0058】 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." 【0059】 In modern society, selecting the optimal foods and meal plans based on individual health conditions is crucial, but integrating diverse health information and providing appropriate suggestions tailored to the surrounding environment is challenging. Furthermore, existing systems lack the ability to monitor health conditions in real time and to customize solutions to individual needs. 【0060】 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. 【0061】 In this invention, the server includes means for acquiring the user's health information and generating customized suggestions using a generative AI model based on said health information; means for collecting information on food and menus from nearby restaurants and retail establishments; and means for providing the user with optimized suggestions generated by the generative AI model based on said health information and information from nearby restaurants and retail establishments. This makes it possible for the user to easily select foods and meal menus that are best suited to their health condition. 【0062】 "Health information" refers to numerical data and records that indicate an individual's health status, including blood sugar levels, blood pressure, and allergy information. 【0063】 A "generative AI model" is a model that uses artificial intelligence techniques to generate optimal suggestions or solutions based on input information. 【0064】 "Customized suggestions" refer to suggestions for foods and meal plans that are individually optimized based on each user's health information. 【0065】 "Food and beverage establishments and retail establishments" refers to stores and places that serve or sell food and beverages, including restaurants and supermarkets. 【0066】 "Means of collecting information" refers to methods and systems for gathering necessary information using database searches or APIs. 【0067】 "Optimized suggestions" refer to meal menus and foods that are best suited to the user's individual health goals and conditions, as derived by a generated AI model based on the user's health information and surrounding environment. 【0068】 This invention relates to a system configured to suggest optimal foods and meal menus based on the user's health information. This system consists of a communication device, a processing device, and an output device. 【0069】 First, users input their health information into a dedicated application using a device such as a smartphone or tablet. This information includes blood sugar levels, blood pressure, and allergy information. The device then transmits this information to a server via an internet connection. The health information obtained by the device consists of digitized paper health checkup results using a scanning function, as well as data entered directly. 【0070】 Next, the server searches a database based on the received health information and suggests suitable meals and foods for the user. This server processing is carried out using programming languages ​​such as Python to efficiently search and process data. Specifically, it uses a MySQL® database to extract food information that matches the user's health condition. Furthermore, it uses a generative AI model to create personalized and highly customized suggestions. For example, for a user with diabetes, it suggests a menu that includes foods with a low glycemic index (GI). 【0071】 The server then sends the processing results to the user's terminal, which receives and displays them. An application built using a programming development environment such as Flutter® visualizes and presents the suggestions to the user in an easy-to-understand manner. The information presented includes recommended restaurants and food stores based on the user's current location, enabling the user to make health-conscious choices immediately in their daily life. 【0072】 A concrete example of a prompt sentence would be, "What meal menu would you recommend for a 50-year-old male with slightly elevated blood sugar, currently located in Tokyo?" This allows the generative AI model to provide optimal suggestions based on the relevant conditions. 【0073】 As described above, the system of the present invention makes it possible to effectively process complex health information and provide useful suggestions tailored to the individual needs of users in real time. 【0074】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0075】 Step 1: 【0076】 This step involves the user entering health information into an application using a smartphone or tablet. The user directly enters blood sugar levels, blood pressure, and allergy information on the input screen, or digitizes health checkup results by scanning them with their smartphone camera. The entered data is temporarily stored on the device. The output is the health information ready to be sent to the server in the next step. 【0077】 Step 2: 【0078】 This step involves the device using a communication method to send the user's health information to the server. The health information is securely packaged using an encryption protocol. Specifically, the data is generated using the TLS protocol, and a POST request is sent to a specified endpoint on the server via a secure internet connection. As a result, the server receives the user's health information. 【0079】 Step 3: 【0080】 This step involves the server searching a database based on received health information to generate a meal plan suitable for the user. The input is health information sent from the terminal, and a Python script processes the data. The server queries a MySQL database for food information based on conditions such as blood glucose levels and allergy information. It also inputs prompts into a generating AI model to calculate personalized meal suggestions. The output is the suggested meal plan. 【0081】 Step 4: 【0082】 This step involves the server sending meal suggestions generated by the server to the user's device. The server converts the generated data into JSON format, encrypts it again, and sends it back to the device. This process minimizes response time and ensures efficient data transmission. As a result, the device receives the recommended menu. 【0083】 Step 5: 【0084】 This step displays the recommended menu received by the device to the user. An application using Flutter parses the JSON data and displays it as a list in the user interface. Where possible, information on nearby restaurants and food stores is also displayed. This allows the user to check the suggested menu in real time and make their next meal selection. 【0085】 Through these steps, the system enables users to make optimal food choices based on their health, supporting their health management. 【0086】 (Application Example 1) 【0087】 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." 【0088】 Conventional meal suggestion systems are limited to selecting foods based on the user's health condition, and do not address the actual cooking of ingredients or provide specific guidance to the user. Therefore, achieving optimal meal selection was difficult. Furthermore, users lacking cooking skills may have concerns about the suggested menus, limiting the effectiveness of health improvement. 【0089】 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. 【0090】 In this invention, the server includes information technology means for acquiring the user's health information and suggesting optimal foods and meal menus based on said health information; information processing means for collecting data on foods and menus from nearby restaurants and retail establishments; information provision means for providing the user with customized suggestions based on said health information and data from nearby restaurants and retail establishments; and automation means for a robot to demonstrate or instruct the user on cooking based on their choices. This enables specific and practical meal choices based on the user's health information, and helps users with insufficient cooking skills to confidently achieve healthy meals. 【0091】 "User health information" refers to data that indicates the user's health status, including measured values ​​such as blood sugar levels and blood pressure, as well as the results of health checkups. 【0092】 "Information technology means" refers to a technical device or method for acquiring a user's health information and suggesting optimal foods or meal menus. 【0093】 "Information processing means" refers to a device or method for analyzing data on food and menus collected from surrounding food and beverage establishments and retail establishments. 【0094】 "Information provision means" refers to a device or method for making customized suggestions to users based on analyzed data. 【0095】 "Automation means" refers to a technical device or method for a robot to demonstrate or instruct a user on cooking based on proposed options. 【0096】 To implement this application, the system operates as follows: 【0097】 The server's primary role is to acquire the user's health information. Users input their health data into the application using their smartphones or tablets and send it to the server. The server then uses the Python Pandas library to analyze this information and performs data processing to identify optimal foods and meal plans based on the user's health status. This processing uses backend services such as Firebase to manage the data. 【0098】 Furthermore, the server collects data from surrounding restaurants and retail establishments to build options tailored to users' health needs. This enables the provision of real-time information. Based on the collected data, information provision methods are used to make customized suggestions to users. 【0099】 On the other hand, household robots are equipped with automation mechanisms that allow them to demonstrate or instruct users on cooking based on suggested options. For example, if a user wants to learn how to cook using low-GI foods, the robot can specifically show them how to measure ingredients and the cooking procedure. 【0100】 As a concrete example, after a morning health check, the robot suggests a "low-GI vegetable risotto using brown rice" as the perfect lunch for the day, and then demonstrates the ingredients and recipe in the kitchen. This process utilizes a generative AI model, and by instructing the model with the prompt "Please suggest an appropriate lunch menu based on the latest health data entered by the user," the model can make the optimal suggestion. 【0101】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0102】 Step 1: 【0103】 The user uses a device to input their health information into the application. This information includes blood glucose levels, blood pressure, and health checkup results. The device then transmits this data to the server via a communication method. The input is the user's health information, and the output is the health information data sent to the server. 【0104】 Step 2: 【0105】 The server analyzes the received health information. It uses the Python Pandas library to process the data and select foods and meal menus optimized for the user's health condition. The input is health information data, and the output is recommended food and menu information. The server stores the selected results, saves them to a database, and performs further processing. 【0106】 Step 3: 【0107】 The server collects data on nearby restaurants and retail establishments and generates menus and food items tailored to the user's health needs. This process utilizes technology to obtain geographical and store information using external APIs. The input is the user's location and health needs, and the output is a list of menus from the relevant restaurants. 【0108】 Step 4: 【0109】 The server sends customized suggestions to the terminal using an information delivery system based on the analysis results. The terminal displays the suggested menus and food items, providing the user with choices. The input is the analyzed data, and the output is the customized menu information presented to the user. 【0110】 Step 5: 【0111】 The home robot performs cooking demonstrations or provides instruction based on information provided by a server. Using a generative AI model, it provides optimal cooking guidance to the user based on the prompt message, "Suggest an appropriate lunch menu based on the latest health data entered by the user." The input is recommended menu information received from the server, and the output is the cooking demonstration and instruction provided to the user. While demonstrating, the robot provides supplementary explanations as needed to aid the user's understanding. 【0112】 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. 【0113】 This invention is a system that suggests food and meal menus based on the user's health information and emotional state. This system mainly consists of a "communication device," a "processing device," an "output device," and an "emotion recognition engine." 【0114】 First, the user inputs their health information into the application using their device. This includes manual input of numerical data and image scans of test results. The user can also take a picture of their face using the camera and sensors built into the device and input their emotional state. The device then transmits this information to the server using a communication method. 【0115】 The server analyzes both health information and emotional state. Based on the health information, it assesses the user's health status and uses an emotion recognition engine to identify the user's current emotions. These emotions include, for example, stress, joy, and sadness. Based on this assessment, the server generates appropriate foods and meal menus. 【0116】 Next, data is collected from nearby restaurants and retail establishments to identify menus and ingredients best suited to the user's health and emotional state. For example, a user experiencing stress might be offered dishes using ingredients with relaxing properties. 【0117】 The server then sends the generated suggestions to the terminal, and the output device displays them on the screen. The user reviews the suggested menu and food options and makes a selection. 【0118】 As a concrete example, consider a user experiencing work-related stress using this system. If the user uses the emotion recognition function to input "stress" as their current emotion, the server will generate and send suggestions to the user that include herbal teas and foods rich in vitamin C, which are considered effective in relieving stress. This method allows the user to choose an optimal diet tailored to their health condition and emotions. 【0119】 Thus, this system provides personalized dietary guidance that takes both health and emotional well-being into consideration, supporting an improvement in the quality of a healthy lifestyle. 【0120】 The following describes the processing flow. 【0121】 Step 1: 【0122】 The user launches an application on their device and enters health information. This includes data such as blood glucose levels, weight, and scanned images of test results. They also use the device's camera to take a picture of their face and input their emotional state. 【0123】 Step 2: 【0124】 The device transmits collected health information and emotional state data to a server via a communication method. The information is encrypted to protect privacy. 【0125】 Step 3: 【0126】 The server analyzes the received health information and evaluates the user's health status. Simultaneously, the emotion recognition engine analyzes the user's emotions based on the transmitted facial image data. 【0127】 Step 4: 【0128】 The server compiles an assessment of your health and emotional state and generates an optimal meal plan based on this. If your emotional state is determined to be "stressed," it will create a menu that includes foods and herbal teas suitable for stress reduction. 【0129】 Step 5: 【0130】 The server queries a database of nearby restaurants and retail establishments to collect facility information that matches the generated menu. 【0131】 Step 6: 【0132】 The server sends the generated customization suggestions to the terminal. 【0133】 Step 7: 【0134】 The device displays customized menu suggestions and recommended dining establishments to the user. 【0135】 Step 8: 【0136】 The user reviews the suggested menu and makes a selection. If necessary, they can visit the suggested facility and actually enjoy the recommended meal. 【0137】 (Example 2) 【0138】 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." 【0139】 In modern society, there is a problem in that it is difficult to make dietary choices that suit individual health and emotional states. In particular, users who lead stressful lives have difficulty choosing an optimal diet that is in line with their emotions and health condition. Furthermore, opportunities to receive personalized dietary suggestions using information from surrounding facilities are limited. In this situation, there is a need for a system that can provide efficient and personalized dietary suggestions. 【0140】 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. 【0141】 In this invention, the server includes communication means for acquiring the user's health information and emotional state and generating optimal food and meal menus based on said health information and emotional state; processing means for collecting data on food and menus from nearby restaurants and retail establishments and optimizing suggestions based on the collected data; and output means for presenting the user with customized suggestions based on said health information, emotional state, and data from nearby restaurants and retail establishments. This enables the user to efficiently make individual meal choices that are perfectly tailored to their own health and emotional state. 【0142】 A "user" is an individual who uses the system to receive dietary suggestions based on their health information and emotional state. 【0143】 "Health information" refers to data about the user's physical condition, including blood pressure, weight, and past medical test results. 【0144】 "Emotional state" refers to the psychological state of a user at the time they use the system, and includes emotions such as stress, joy, and sadness. 【0145】 "Communication means" refers to a device or method using the Internet or similar technology to acquire a user's health information and emotional state and transmit it to a server. 【0146】 "Processing means" refers to a device or program that has the function of analyzing the user's health information and emotional state and generating appropriate food and meal menus. 【0147】 "Output means" refers to a device or interface used to present customized suggestions generated by the server to the user, and includes screen displays and the like. 【0148】 "Nearby food and beverage establishments and retail facilities" refers to shops and facilities that provide food and ingredients and are located within an accessible range based on the user's location information. 【0149】 This invention is a system that proposes personalized foods and meal menus based on a user's health information and emotional state. This system mainly consists of a terminal, a server, communication means, processing means, and output means. 【0150】 Users input their health information using the device. This information includes blood pressure, weight, and past health checkup results. Regarding emotional states, the device's built-in camera and sensors capture facial expressions, which are then analyzed by an emotion recognition engine. This determines whether the user is experiencing emotions such as "stress" or "joy." 【0151】 The device transmits this health information and emotional state to the server using a communication method. The communication uses an internet-based protocol. The server uses a generative AI model to analyze the received information, assessing the health state and identifying the emotional state. 【0152】 The server generates optimal food and meal menus for the user based on the analysis results. The generated suggestions also take into account data collected from nearby restaurants and shops. This allows the user to receive choices that best suit their current health and emotional state. 【0153】 As a concrete example, consider a user who is experiencing stress at work. When this user uses the system's emotion recognition function to input "stress," the server suggests foods that are effective in relieving stress. These foods might include relaxing herbal teas or fruits rich in vitamin C. 【0154】 (Example of prompt text to input to the generated AI model) 【0155】 "When a user's emotional state is stressed, please suggest a menu that promotes relaxation." 【0156】 This system allows users to make optimal dietary choices tailored to their health and emotional state, making it easier to maintain a healthy lifestyle. 【0157】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0158】 Step 1: 【0159】 The user uses a device to input health information and emotional status. This information includes numerical data such as blood pressure and weight manually entered on the device's application screen, or uploaded as photos of past health checkup results. Furthermore, by taking a picture of the user's face using the device's camera, the emotion recognition engine analyzes the facial expression data to determine the emotional status. The input for this step is health data and emotional data, and the output is a summary of this data. 【0160】 Step 2: 【0161】 The device transmits acquired health information and emotional state to a server via the internet. This involves secure communication processing to transmit the input data to the server. Through this process, the data is entered into the server. 【0162】 Step 3: 【0163】 The server analyzes the received data. First, a generative AI model evaluates the health status based on health information. This model quantitatively calculates the current health trend by comparing it with past data. Next, an emotion recognition engine analyzes facial image data to identify emotions such as stress, joy, and sadness. The output of this step is the result of the health status evaluation and the result of the emotion recognition. 【0164】 Step 4: 【0165】 The server generates an optimal meal plan for the user based on the analysis results. Here, a generative AI model is used to generate different suggestions based on the user's health status and emotions. The output is a customized list of foods and menu items. 【0166】 Step 5: 【0167】 The server collects data on foods and menus suitable for the user's health and emotional state from nearby restaurants and retail establishments. Based on location information, it collects information on menus and selectable ingredients offered by the relevant establishments. This is a process where location information is provided to the server as input, and a list of suitable foods is output. 【0168】 Step 6: 【0169】 The server sends the generated suggestions to the terminal, which then displays them using the terminal's output device. The terminal displays the suggestions on its screen, providing the user with choices through a visual interface. The output in this step consists of specific meal menus and food suggestions for the user. 【0170】 Step 7: 【0171】 Users view recommended menus and foods via their device and make selections based on their needs and preferences. Here, users review the options presented on the device and make purchasing or selection decisions. The purpose of this step is to assist users in making the best choice; the final decision rests with the user. 【0172】 (Application Example 2) 【0173】 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". 【0174】 In modern society, daily stress and irregular lifestyles make it difficult to manage health and maintain emotional balance. In particular, choosing foods that suit individual health conditions and emotional states is important for improving quality of life, but conventional systems have struggled to effectively support this. 【0175】 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. 【0176】 In this invention, the server includes means for acquiring the user's health information and emotional state and suggesting food and menus based on that information, means for collecting data from nearby restaurants and shops, and means for customizing and outputting the information to be provided. This allows the user to choose meals optimized for their own health condition and emotional state. 【0177】 A "user" is an individual who uses the system and is the subject who inputs health information and emotional status. 【0178】 "Health information" refers to data about the user's physical condition, including numerical values ​​and indicators obtained through manual input or wearable devices. 【0179】 "Emotional state" refers to the user's mental state, including stress, joy, and other information detected by facial recognition technology. 【0180】 An "information processing device" is a device that analyzes and converts digital data, and has the function of generating meal suggestions based on the user's health information and emotional state. 【0181】 An "information output device" is a device that provides analyzed information to the user visually or audibly, and presents suggested food items or menus. 【0182】 "Communication means" refers to technologies or equipment used to send and receive data between an information processing device and an external device or server. 【0183】 "Nearby dining and sales locations" refers to stores and facilities located near the user, and is the target of the system's acquisition of data regarding food and menus. 【0184】 The system implementing this invention is configured to efficiently acquire and analyze the user's health information and emotional state, and to suggest optimal foods and meal menus based on this information. Its main components include an information processing device, an information output device, and communication means. 【0185】 The information processing system uses hardware such as Raspberry Pi and Jetson Nano, and detects the user's emotional state through facial recognition using OpenCV and DeepFace. Health information is acquired and processed as numerical data using NumPy and Pandas. The analyzed health information and emotional state data are supplied to an AI model, which uses Scikit-learn to generate dietary suggestions based on past data. This process enables the suggestion of foods optimized for each user. 【0186】 The information output device uses a screen display and speakers to provide visual and audible feedback of the analysis results to the user. This makes it easier to review the suggested food items and menus. 【0187】 The communication method involves a local server built using Flask, which handles communication between devices and with external data sources. This allows users to obtain the latest food data from nearby sales locations. 【0188】 As a concrete example, if a user is detected as being in a "fatigued state" by facial recognition, the information processing device sends a prompt message to the AI ​​model that generates a menu using herbs with relaxing effects. An example of this prompt message is, "Generate a list of the best health foods for someone whose emotional state is fatigued." 【0189】 In this way, it becomes possible to provide users with appropriate dietary options based on their health and emotional state, thereby supporting an improvement in their quality of life. 【0190】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0191】 Step 1: 【0192】 The terminal prompts users to input health information. This input includes automatic data acquisition from wearable devices and direct numerical input. This data is preprocessed using NumPy or Pandas and converted into a parseable format. 【0193】 Step 2: 【0194】 The device uses its camera to capture the user's face and initiates the emotion recognition process. OpenCV and DeepFace are used to analyze the emotional state from the image data. The results of the emotional state analysis, such as tags like "stress" or "fatigue," are then output. 【0195】 Step 3: 【0196】 The server receives both health information and emotional state, preparing input for the generative AI model. It generates prompt statements, specifying which foods should be suggested based on the health information and emotional state. 【0197】 Step 4: 【0198】 The server uses Scikit-learn to reference historical data and generate personalized suggestions for each user. Based on prompts, it sends a food suggestion request to the generating AI model and outputs an appropriate menu list. 【0199】 Step 5: 【0200】 The server collects data from nearby restaurants and retail establishments and integrates it with the generated menu list. Using Flask for communication, it maintains the most up-to-date data and optimizes the information provided to users. 【0201】 Step 6: 【0202】 The user's device receives the final food recommendations and provides visual or audio guidance through its display and speaker. This allows the user to review the suggested menu and make choices that suit their lifestyle. 【0203】 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. 【0204】 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. 【0205】 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. 【0206】 [Second Embodiment] 【0207】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0208】 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. 【0209】 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). 【0210】 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. 【0211】 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. 【0212】 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). 【0213】 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. 【0214】 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. 【0215】 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. 【0216】 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. 【0217】 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. 【0218】 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". 【0219】 This invention is a system that suggests optimal foods and meal menus according to the user's health condition. This system mainly consists of a "communication device," a "processing device," and an "output device." 【0220】 First, users input their health information into the application using a device such as a smartphone or tablet. For example, they can manually enter data such as blood sugar levels and blood pressure, or scan and upload the results of a health checkup. The device then transmits this information to the server via a communication method. 【0221】 Next, the server processes the received health information to suggest suitable meals and foods for the user. The server searches a database of nearby restaurants and shops and lists menus and ingredients that meet the user's health needs. For example, for a user with diabetes, it extracts meal menus that actively include low-GI foods. 【0222】 The server then sends the processed information to the user, who receives and displays it on their device. The device displays a list of personalized meal plans based on the user's health status, as well as suitable restaurants and shops near their current location. This allows users to make optimal choices instantly when dining out or purchasing food. 【0223】 Users can review the suggested options on their devices and interact with other users through community features as needed. Within the community, they can exchange health-related information, share recipes, and even receive advice from nutritionists and health professionals. 【0224】 Thus, this system supports users in making food choices tailored to their individual health conditions and provides comprehensive support for achieving a healthy lifestyle. This embodiment can meet the diverse health needs of consumers and improve the quality of their diets. 【0225】 The following describes the processing flow. 【0226】 Step 1: 【0227】 The user launches the application on their device and enters their health information. This includes manually entering numerical data and uploading scanned health checkup results. 【0228】 Step 2: 【0229】 The device transmits the entered health information to the server via a communication device. Encryption technology is used for secure data transfer. 【0230】 Step 3: 【0231】 Based on the health information received by the server, the registered user profile is analyzed and indicators related to health status are calculated. 【0232】 Step 4: 【0233】 Based on the health status, the server queries a database of nearby restaurants and shops to list suitable food and menu options. 【0234】 Step 5: 【0235】 The server analyzes the listed information and generates customized suggestions tailored to the user's health initiatives. 【0236】 Step 6: 【0237】 The device receives customization suggestions sent from the server and displays them visually on the screen. 【0238】 Step 7: 【0239】 Users can use their devices to view details of suggested menus and food items and make selections. If necessary, they can share information and exchange opinions with other users through community features. 【0240】 (Example 1) 【0241】 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". 【0242】 In modern society, selecting the optimal foods and meal plans based on individual health conditions is crucial, but integrating diverse health information and providing appropriate suggestions tailored to the surrounding environment is challenging. Furthermore, existing systems lack the ability to monitor health conditions in real time and to customize solutions to individual needs. 【0243】 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. 【0244】 In this invention, the server includes means for acquiring the user's health information and generating customized suggestions using a generative AI model based on said health information; means for collecting information on food and menus from nearby restaurants and retail establishments; and means for providing the user with optimized suggestions generated by the generative AI model based on said health information and information from nearby restaurants and retail establishments. This makes it possible for the user to easily select foods and meal menus that are best suited to their health condition. 【0245】 "Health information" refers to numerical data and records that indicate an individual's health status, including blood sugar levels, blood pressure, and allergy information. 【0246】 A "generative AI model" is a model that uses artificial intelligence techniques to generate optimal suggestions or solutions based on input information. 【0247】 "Customized suggestions" refer to suggestions for foods and meal plans that are individually optimized based on each user's health information. 【0248】 "Food and beverage establishments and retail establishments" refers to stores and places that serve or sell food and beverages, including restaurants and supermarkets. 【0249】 "Means of collecting information" refers to methods and systems for gathering necessary information using database searches or APIs. 【0250】 "Optimized suggestions" refer to meal menus and foods that are best suited to the user's individual health goals and conditions, as derived by a generated AI model based on the user's health information and surrounding environment. 【0251】 This invention relates to a system configured to suggest optimal foods and meal menus based on the user's health information. This system consists of a communication device, a processing device, and an output device. 【0252】 First, users input their health information into a dedicated application using a device such as a smartphone or tablet. This information includes blood sugar levels, blood pressure, and allergy information. The device then transmits this information to a server via an internet connection. The health information obtained by the device consists of digitized paper health checkup results using a scanning function, as well as data entered directly. 【0253】 Next, the server searches a database based on the received health information and suggests suitable meals and foods for the user. This server processing is carried out using programming languages ​​such as Python to efficiently search and process data. Specifically, it uses a MySQL database to extract food information that matches the user's health condition. Furthermore, it uses a generative AI model to create personalized and highly customized suggestions. For example, for a user with diabetes, it suggests a menu that includes foods with a low glycemic index (GI). 【0254】 The server then sends the processing results to the user's terminal, which receives and displays them. An application built using a programming development environment such as Flutter visualizes and presents the suggestions to the user in an easy-to-understand way. The information presented includes recommended restaurants and food stores based on the user's current location, enabling the user to make health-conscious choices immediately in their daily life. 【0255】 A concrete example of a prompt sentence would be, "What meal menu would you recommend for a 50-year-old male with slightly elevated blood sugar, currently located in Tokyo?" This allows the generative AI model to provide optimal suggestions based on the relevant conditions. 【0256】 As described above, the system of the present invention makes it possible to effectively process complex health information and provide useful suggestions tailored to the individual needs of users in real time. 【0257】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0258】 Step 1: 【0259】 This step involves the user entering health information into an application using a smartphone or tablet. The user directly enters blood sugar levels, blood pressure, and allergy information on the input screen, or digitizes health checkup results by scanning them with their smartphone camera. The entered data is temporarily stored on the device. The output is the health information ready to be sent to the server in the next step. 【0260】 Step 2: 【0261】 This step involves the device using a communication method to send the user's health information to the server. The health information is securely packaged using an encryption protocol. Specifically, the data is generated using the TLS protocol, and a POST request is sent to a specified endpoint on the server via a secure internet connection. As a result, the server receives the user's health information. 【0262】 Step 3: 【0263】 This step involves the server searching a database based on received health information to generate a meal plan suitable for the user. The input is health information sent from the terminal, and a Python script processes the data. The server queries a MySQL database for food information based on conditions such as blood glucose levels and allergy information. It also inputs prompts into a generating AI model to calculate personalized meal suggestions. The output is the suggested meal plan. 【0264】 Step 4: 【0265】 This step involves the server sending meal suggestions generated by the server to the user's device. The server converts the generated data into JSON format, encrypts it again, and sends it back to the device. This process minimizes response time and ensures efficient data transmission. As a result, the device receives the recommended menu. 【0266】 Step 5: 【0267】 This step displays the recommended menu received by the device to the user. An application using Flutter parses the JSON data and displays it as a list in the user interface. Where possible, information on nearby restaurants and food stores is also displayed. This allows the user to check the suggested menu in real time and make their next meal selection. 【0268】 Through these steps, the system enables users to make optimal food choices based on their health, supporting their health management. 【0269】 (Application Example 1) 【0270】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0271】 Conventional meal suggestion systems are limited to selecting foods based on the user's health condition, and do not address the actual cooking of ingredients or provide specific guidance to the user. Therefore, achieving optimal meal selection was difficult. Furthermore, users lacking cooking skills may have concerns about the suggested menus, limiting the effectiveness of health improvement. 【0272】 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. 【0273】 In this invention, the server includes information technology means for acquiring the user's health information and suggesting optimal foods and meal menus based on said health information; information processing means for collecting data on foods and menus from nearby restaurants and retail establishments; information provision means for providing the user with customized suggestions based on said health information and data from nearby restaurants and retail establishments; and automation means for a robot to demonstrate or instruct the user on cooking based on their choices. This enables specific and practical meal choices based on the user's health information, and helps users with insufficient cooking skills to confidently achieve healthy meals. 【0274】 "User health information" refers to data that indicates the user's health status, including measured values ​​such as blood sugar levels and blood pressure, as well as the results of health checkups. 【0275】 "Information technology means" refers to a technical device or method for acquiring a user's health information and suggesting optimal foods or meal menus. 【0276】 "Information processing means" refers to a device or method for analyzing data on food and menus collected from surrounding food and beverage establishments and retail establishments. 【0277】 "Information provision means" refers to a device or method for making customized suggestions to users based on analyzed data. 【0278】 "Automation means" refers to a technical device or method for a robot to demonstrate or instruct a user on cooking based on proposed options. 【0279】 To implement this application, the system operates as follows: 【0280】 The server's primary role is to acquire the user's health information. Users input their health data into the application using their smartphones or tablets and send it to the server. The server then uses the Python Pandas library to analyze this information and performs data processing to identify optimal foods and meal plans based on the user's health status. This processing uses backend services such as Firebase to manage the data. 【0281】 Furthermore, the server collects data from surrounding restaurants and retail establishments to build options tailored to users' health needs. This enables the provision of real-time information. Based on the collected data, information provision methods are used to make customized suggestions to users. 【0282】 On the other hand, household robots are equipped with automation mechanisms that allow them to demonstrate or instruct users on cooking based on suggested options. For example, if a user wants to learn how to cook using low-GI foods, the robot can specifically show them how to measure ingredients and the cooking procedure. 【0283】 As a concrete example, after a morning health check, the robot suggests a "low-GI vegetable risotto using brown rice" as the perfect lunch for the day, and then demonstrates the ingredients and recipe in the kitchen. This process utilizes a generative AI model, and by instructing the model with the prompt "Please suggest an appropriate lunch menu based on the latest health data entered by the user," the model can make the optimal suggestion. 【0284】 The flow of the specific process in Application Example 1 will be described with reference to FIG. 12. 【0285】 Step 1: 【0286】 The user uses the terminal to input their health information into the application. The input information includes blood glucose levels, blood pressure, health examination results, and the like. The terminal transmits this data to the server via communication means. The input is the user's health information, and the output is the health information data sent to the server. 【0287】 Step 2: 【0288】 The server analyzes the received health information. At this time, the Python Pandas library is used to process the data, and foods and diet menus optimized for the user's health condition are selected. The input is the health information data, and the output is the recommended food and menu information. The server accumulates the selected results, saves them in the database, and also performs subsequent processing. 【0289】 Step 3: 【0290】 The server collects data on surrounding food and beverage establishments and sales facilities, and generates menus and foods that meet the user's health needs. This process uses technologies to obtain geographical information and store information using external APIs. The input is the user's location information and health needs, and the output is the menu list of related food and beverage establishments. 【0291】 Step 4: 【0292】 Based on the analysis results, the server uses information providing means to transmit customized proposals to the terminal. On the terminal, the proposed menus and foods are displayed, providing options to the user. The input is the analyzed data, and the output is the customized menu information presented to the user. 【0293】 Step 5: 【0294】 The home robot performs cooking demonstrations or provides instruction based on information provided by a server. Using a generative AI model, it provides optimal cooking guidance to the user based on the prompt message, "Suggest an appropriate lunch menu based on the latest health data entered by the user." The input is recommended menu information received from the server, and the output is the cooking demonstration and instruction provided to the user. While demonstrating, the robot provides supplementary explanations as needed to aid the user's understanding. 【0295】 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. 【0296】 This invention is a system that suggests food and meal menus based on the user's health information and emotional state. This system mainly consists of a "communication device," a "processing device," an "output device," and an "emotion recognition engine." 【0297】 First, the user inputs their health information into the application using their device. This includes manual input of numerical data and image scans of test results. The user can also take a picture of their face using the camera and sensors built into the device and input their emotional state. The device then transmits this information to the server using a communication method. 【0298】 The server analyzes both health information and emotional state. Based on the health information, it assesses the user's health status and uses an emotion recognition engine to identify the user's current emotions. These emotions include, for example, stress, joy, and sadness. Based on this assessment, the server generates appropriate foods and meal menus. 【0299】 Next, data is collected from nearby restaurants and retail establishments to identify menus and ingredients best suited to the user's health and emotional state. For example, a user experiencing stress might be offered dishes using ingredients with relaxing properties. 【0300】 After that, the server sends the proposal it generated to the terminal, and the output device displays it on the screen. The user checks the proposed menu and food options and makes a selection. 【0301】 As a specific example, consider the case where a user who feels stressed at work uses this system. If the user utilizes the emotion recognition function to input the current emotion as "stress," the server generates a proposal that includes herbal tea, which is considered effective for stress relief, and foods rich in vitamin C in the menu and sends it to the user. By this method, the user can select an optimal diet according to their health condition and emotions. 【0302】 In this way, this system provides individual dietary guidance considering both health and emotions and supports improving the quality of a healthy life. 【0303】 The processing flow will be described below. 【0304】 Step 1: 【0305】 The user launches the application on the terminal and inputs health information. This includes data such as blood glucose level, weight, and scanned images of test results. Also, use the camera of the terminal to take a picture of oneself to input the emotional state. 【0306】 Step 2: 【0307】 The terminal sends the health information and emotional state data collected to the server via the communication means. The information is encrypted to protect privacy. 【0308】 Step 3: 【0309】 The server analyzes the received health information and evaluates the user's health condition. At the same time, the emotion recognition engine analyzes the user's emotion based on the face image data sent. 【0310】 Step 4: 【0311】 The server compiles an assessment of your health and emotional state and generates an optimal meal plan based on this. If your emotional state is determined to be "stressed," it will create a menu that includes foods and herbal teas suitable for stress reduction. 【0312】 Step 5: 【0313】 The server queries a database of nearby restaurants and retail establishments to collect facility information that matches the generated menu. 【0314】 Step 6: 【0315】 The server sends the generated customization suggestions to the terminal. 【0316】 Step 7: 【0317】 The device displays customized menu suggestions and recommended dining establishments to the user. 【0318】 Step 8: 【0319】 The user reviews the suggested menu and makes a selection. If necessary, they can visit the suggested facility and actually enjoy the recommended meal. 【0320】 (Example 2) 【0321】 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". 【0322】 In modern society, there is a problem in that it is difficult to make dietary choices that suit individual health and emotional states. In particular, users who lead stressful lives have difficulty choosing an optimal diet that is in line with their emotions and health condition. Furthermore, opportunities to receive personalized dietary suggestions using information from surrounding facilities are limited. In this situation, there is a need for a system that can provide efficient and personalized dietary suggestions. 【0323】 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. 【0324】 In this invention, the server includes communication means for acquiring the user's health information and emotional state and generating optimal food and meal menus based on said health information and emotional state; processing means for collecting data on food and menus from nearby restaurants and retail establishments and optimizing suggestions based on the collected data; and output means for presenting the user with customized suggestions based on said health information, emotional state, and data from nearby restaurants and retail establishments. This enables the user to efficiently make individual meal choices that are perfectly tailored to their own health and emotional state. 【0325】 A "user" is an individual who uses the system to receive dietary suggestions based on their health information and emotional state. 【0326】 "Health information" refers to data about the user's physical condition, including blood pressure, weight, and past medical test results. 【0327】 "Emotional state" refers to the psychological state of a user at the time they use the system, and includes emotions such as stress, joy, and sadness. 【0328】 "Communication means" refers to a device or method using the Internet or similar technology to acquire a user's health information and emotional state and transmit it to a server. 【0329】 "Processing means" refers to a device or program that has the function of analyzing the user's health information and emotional state and generating appropriate food and meal menus. 【0330】 "Output means" refers to a device or interface used to present customized suggestions generated by the server to the user, and includes screen displays and the like. 【0331】 "Nearby food and beverage establishments and retail facilities" refers to shops and facilities that provide food and ingredients and are located within an accessible range based on the user's location information. 【0332】 This invention is a system that proposes personalized foods and meal menus based on a user's health information and emotional state. This system mainly consists of a terminal, a server, communication means, processing means, and output means. 【0333】 Users input their health information using the device. This information includes blood pressure, weight, and past health checkup results. Regarding emotional states, the device's built-in camera and sensors capture facial expressions, which are then analyzed by an emotion recognition engine. This determines whether the user is experiencing emotions such as "stress" or "joy." 【0334】 The device transmits this health information and emotional state to the server using a communication method. The communication uses an internet-based protocol. The server uses a generative AI model to analyze the received information, assessing the health state and identifying the emotional state. 【0335】 The server generates optimal food and meal menus for the user based on the analysis results. The generated suggestions also take into account data collected from nearby restaurants and shops. This allows the user to receive choices that best suit their current health and emotional state. 【0336】 As a concrete example, consider a user who is experiencing stress at work. When this user uses the system's emotion recognition function to input "stress," the server suggests foods that are effective in relieving stress. These foods might include relaxing herbal teas or fruits rich in vitamin C. 【0337】 (Example of prompt text to input to the generated AI model) 【0338】 "When a user's emotional state is stressed, please suggest a menu that promotes relaxation." 【0339】 This system allows users to make optimal dietary choices tailored to their health and emotional state, making it easier to maintain a healthy lifestyle. 【0340】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0341】 Step 1: 【0342】 The user uses a device to input health information and emotional status. This information includes numerical data such as blood pressure and weight manually entered on the device's application screen, or uploaded as photos of past health checkup results. Furthermore, by taking a picture of the user's face using the device's camera, the emotion recognition engine analyzes the facial expression data to determine the emotional status. The input for this step is health data and emotional data, and the output is a summary of this data. 【0343】 Step 2: 【0344】 The device transmits acquired health information and emotional state to a server via the internet. This involves secure communication processing to transmit the input data to the server. Through this process, the data is entered into the server. 【0345】 Step 3: 【0346】 The server analyzes the received data. First, a generative AI model evaluates the health status based on health information. This model quantitatively calculates the current health trend by comparing it with past data. Next, an emotion recognition engine analyzes facial image data to identify emotions such as stress, joy, and sadness. The output of this step is the result of the health status evaluation and the result of the emotion recognition. 【0347】 Step 4: 【0348】 The server generates an optimal meal plan for the user based on the analysis results. Here, a generative AI model is used to generate different suggestions based on the user's health status and emotions. The output is a customized list of foods and menu items. 【0349】 Step 5: 【0350】 The server collects data on foods and menus suitable for the user's health and emotional state from nearby restaurants and retail establishments. Based on location information, it collects information on menus and selectable ingredients offered by the relevant establishments. This is a process where location information is provided to the server as input, and a list of suitable foods is output. 【0351】 Step 6: 【0352】 The server sends the generated suggestions to the terminal, which then displays them using the terminal's output device. The terminal displays the suggestions on its screen, providing the user with choices through a visual interface. The output in this step consists of specific meal menus and food suggestions for the user. 【0353】 Step 7: 【0354】 Users view recommended menus and foods via their device and make selections based on their needs and preferences. Here, users review the options presented on the device and make purchasing or selection decisions. The purpose of this step is to assist users in making the best choice; the final decision rests with the user. 【0355】 (Application Example 2) 【0356】 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." 【0357】 In modern society, daily stress and irregular lifestyles make it difficult to manage health and maintain emotional balance. In particular, choosing foods that suit individual health conditions and emotional states is important for improving quality of life, but conventional systems have struggled to effectively support this. 【0358】 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. 【0359】 In this invention, the server includes means for acquiring the user's health information and emotional state and suggesting food and menus based on that information, means for collecting data from nearby restaurants and shops, and means for customizing and outputting the information to be provided. This allows the user to choose meals optimized for their own health condition and emotional state. 【0360】 A "user" is an individual who uses the system and is the subject who inputs health information and emotional status. 【0361】 "Health information" refers to data about the user's physical condition, including numerical values ​​and indicators obtained through manual input or wearable devices. 【0362】 "Emotional state" refers to the user's mental state, including stress, joy, and other information detected by facial recognition technology. 【0363】 An "information processing device" is a device that analyzes and converts digital data, and has the function of generating meal suggestions based on the user's health information and emotional state. 【0364】 An "information output device" is a device that provides analyzed information to the user visually or audibly, and presents suggested food items or menus. 【0365】 "Communication means" refers to technologies or equipment used to send and receive data between an information processing device and an external device or server. 【0366】 "Nearby dining and sales locations" refers to stores and facilities located near the user, and is the target of the system's acquisition of data regarding food and menus. 【0367】 The system implementing this invention is configured to efficiently acquire and analyze the user's health information and emotional state, and to suggest optimal foods and meal menus based on this information. Its main components include an information processing device, an information output device, and communication means. 【0368】 The information processing system uses hardware such as Raspberry Pi and Jetson Nano, and detects the user's emotional state through facial recognition using OpenCV and DeepFace. Health information is acquired and processed as numerical data using NumPy and Pandas. The analyzed health information and emotional state data are supplied to an AI model, which uses Scikit-learn to generate dietary suggestions based on past data. This process enables the suggestion of foods optimized for each user. 【0369】 The information output device uses a screen display and speakers to provide visual and audible feedback of the analysis results to the user. This makes it easier to review the suggested food items and menus. 【0370】 The communication method involves a local server built using Flask, which handles communication between devices and with external data sources. This allows users to obtain the latest food data from nearby sales locations. 【0371】 As a concrete example, if a user is detected as being in a "fatigued state" by facial recognition, the information processing device sends a prompt message to the AI ​​model that generates a menu using herbs with relaxing effects. An example of this prompt message is, "Generate a list of the best health foods for someone whose emotional state is fatigued." 【0372】 In this way, it becomes possible to provide users with appropriate dietary options based on their health and emotional state, thereby supporting an improvement in their quality of life. 【0373】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0374】 Step 1: 【0375】 The terminal prompts users to input health information. This input includes automatic data acquisition from wearable devices and direct numerical input. This data is preprocessed using NumPy or Pandas and converted into a parseable format. 【0376】 Step 2: 【0377】 The device uses its camera to capture the user's face and initiates the emotion recognition process. OpenCV and DeepFace are used to analyze the emotional state from the image data. The results of the emotional state analysis, such as tags like "stress" or "fatigue," are then output. 【0378】 Step 3: 【0379】 The server receives both health information and emotional state, preparing input for the generative AI model. It generates prompt statements, specifying which foods should be suggested based on the health information and emotional state. 【0380】 Step 4: 【0381】 The server uses Scikit-learn to reference historical data and generate personalized suggestions for each user. Based on prompts, it sends a food suggestion request to the generating AI model and outputs an appropriate menu list. 【0382】 Step 5: 【0383】 The server collects data from nearby restaurants and retail establishments and integrates it with the generated menu list. Using Flask for communication, it maintains the most up-to-date data and optimizes the information provided to users. 【0384】 Step 6: 【0385】 The user's device receives the final food recommendations and provides visual or audio guidance through its display and speaker. This allows the user to review the suggested menu and make choices that suit their lifestyle. 【0386】 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. 【0387】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0388】 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. 【0389】 [Third Embodiment] 【0390】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0391】 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. 【0392】 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). 【0393】 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. 【0394】 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. 【0395】 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). 【0396】 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. 【0397】 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. 【0398】 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. 【0399】 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. 【0400】 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. 【0401】 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". 【0402】 This invention is a system that suggests optimal foods and meal menus according to the user's health condition. This system mainly consists of a "communication device," a "processing device," and an "output device." 【0403】 First, users input their health information into the application using a device such as a smartphone or tablet. For example, they can manually enter data such as blood sugar levels and blood pressure, or scan and upload the results of a health checkup. The device then transmits this information to the server via a communication method. 【0404】 Next, the server processes the received health information to suggest suitable meals and foods for the user. The server searches a database of nearby restaurants and shops and lists menus and ingredients that meet the user's health needs. For example, for a user with diabetes, it extracts meal menus that actively include low-GI foods. 【0405】 The server then sends the processed information to the user, who receives and displays it on their device. The device displays a list of personalized meal plans based on the user's health status, as well as suitable restaurants and shops near their current location. This allows users to make optimal choices instantly when dining out or purchasing food. 【0406】 Users can review the suggested options on their devices and interact with other users through community features as needed. Within the community, they can exchange health-related information, share recipes, and even receive advice from nutritionists and health professionals. 【0407】 Thus, this system supports users in making food choices tailored to their individual health conditions and provides comprehensive support for achieving a healthy lifestyle. This embodiment can meet the diverse health needs of consumers and improve the quality of their diets. 【0408】 The following describes the processing flow. 【0409】 Step 1: 【0410】 The user launches the application on their device and enters their health information. This includes manually entering numerical data and uploading scanned health checkup results. 【0411】 Step 2: 【0412】 The device transmits the entered health information to the server via a communication device. Encryption technology is used for secure data transfer. 【0413】 Step 3: 【0414】 Based on the health information received by the server, the system analyzes the profiles of registered users and calculates indicators related to their health status. 【0415】 Step 4: 【0416】 Based on the user's health status, the server queries a database of nearby restaurants and shops to list suitable food and menu options. 【0417】 Step 5: 【0418】 The server analyzes the listed information and generates customized suggestions tailored to the user's health initiatives. 【0419】 Step 6: 【0420】 The device receives customization suggestions sent from the server and displays them visually on the screen. 【0421】 Step 7: 【0422】 Users can use their devices to view details of suggested menus and food items and make selections. If necessary, they can share information and exchange opinions with other users through community features. 【0423】 (Example 1) 【0424】 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." 【0425】 In modern society, selecting the optimal foods and meal plans based on individual health conditions is crucial, but integrating diverse health information and providing appropriate suggestions tailored to the surrounding environment is challenging. Furthermore, existing systems lack the ability to monitor health conditions in real time and to customize solutions to individual needs. 【0426】 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. 【0427】 In this invention, the server includes means for acquiring the user's health information and generating customized suggestions using a generative AI model based on said health information; means for collecting information on food and menus from nearby restaurants and retail establishments; and means for providing the user with optimized suggestions generated by the generative AI model based on said health information and information from nearby restaurants and retail establishments. This makes it possible for the user to easily select foods and meal menus that are best suited to their health condition. 【0428】 "Health information" refers to numerical data and records that indicate an individual's health status, including blood sugar levels, blood pressure, and allergy information. 【0429】 A "generative AI model" is a model that uses artificial intelligence techniques to generate optimal suggestions or solutions based on input information. 【0430】 "Customized suggestions" refer to suggestions for foods and meal plans that are individually optimized based on each user's health information. 【0431】 "Food and beverage establishments and retail establishments" refers to stores and places that serve or sell food and beverages, including restaurants and supermarkets. 【0432】 "Means of collecting information" refers to methods and systems for gathering necessary information using database searches or APIs. 【0433】 "Optimized suggestions" refer to meal menus and foods that are best suited to the user's individual health goals and conditions, as derived by a generated AI model based on the user's health information and surrounding environment. 【0434】 This invention relates to a system configured to suggest optimal foods and meal menus based on the user's health information. This system consists of a communication device, a processing device, and an output device. 【0435】 First, users input their health information into a dedicated application using a device such as a smartphone or tablet. This information includes blood sugar levels, blood pressure, and allergy information. The device then transmits this information to a server via an internet connection. The health information obtained by the device consists of digitized paper health checkup results using a scanning function, as well as data entered directly. 【0436】 Next, the server searches a database based on the received health information and suggests suitable meals and foods for the user. This server processing is carried out using programming languages ​​such as Python to efficiently search and process data. Specifically, it uses a MySQL database to extract food information that matches the user's health condition. Furthermore, it uses a generative AI model to create personalized and highly customized suggestions. For example, for a user with diabetes, it suggests a menu that includes foods with a low glycemic index (GI). 【0437】 The server then sends the processing results to the user's terminal, which receives and displays them. An application built using a programming development environment such as Flutter visualizes and presents the suggestions to the user in an easy-to-understand way. The information presented includes recommended restaurants and food stores based on the user's current location, enabling the user to make health-conscious choices immediately in their daily life. 【0438】 A concrete example of a prompt sentence would be, "What meal menu would you recommend for a 50-year-old male with slightly elevated blood sugar, currently located in Tokyo?" This allows the generative AI model to provide optimal suggestions based on the relevant conditions. 【0439】 As described above, the system of the present invention makes it possible to effectively process complex health information and provide useful suggestions tailored to the individual needs of users in real time. 【0440】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0441】 Step 1: 【0442】 This step involves the user entering health information into an application using a smartphone or tablet. The user directly enters blood sugar levels, blood pressure, and allergy information on the input screen, or digitizes health checkup results by scanning them with their smartphone camera. The entered data is temporarily stored on the device. The output is the health information ready to be sent to the server in the next step. 【0443】 Step 2: 【0444】 This step involves the device using a communication method to send the user's health information to the server. The health information is securely packaged using an encryption protocol. Specifically, the data is generated using the TLS protocol, and a POST request is sent to a specified endpoint on the server via a secure internet connection. As a result, the server receives the user's health information. 【0445】 Step 3: 【0446】 This step involves the server searching a database based on received health information to generate a meal plan suitable for the user. The input is health information sent from the terminal, and a Python script processes the data. The server queries a MySQL database for food information based on conditions such as blood glucose levels and allergy information. It also inputs prompts into a generating AI model to calculate personalized meal suggestions. The output is the suggested meal plan. 【0447】 Step 4: 【0448】 This step involves the server sending meal suggestions generated by the server to the user's device. The server converts the generated data into JSON format, encrypts it again, and sends it back to the device. This process minimizes response time and ensures efficient data transmission. As a result, the device receives the recommended menu. 【0449】 Step 5: 【0450】 This step displays the recommended menu received by the device to the user. An application using Flutter parses the JSON data and displays it as a list in the user interface. Where possible, information on nearby restaurants and food stores is also displayed. This allows the user to check the suggested menu in real time and make their next meal selection. 【0451】 Through these steps, the system enables users to make optimal food choices based on their health, supporting their health management. 【0452】 (Application Example 1) 【0453】 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." 【0454】 Conventional meal suggestion systems are limited to selecting foods based on the user's health condition, and do not address the actual cooking of ingredients or provide specific guidance to the user. Therefore, achieving optimal meal selection was difficult. Furthermore, users lacking cooking skills may have concerns about the suggested menus, limiting the effectiveness of health improvement. 【0455】 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. 【0456】 In this invention, the server includes information technology means for acquiring the user's health information and suggesting optimal foods and meal menus based on said health information; information processing means for collecting data on foods and menus from nearby restaurants and retail establishments; information provision means for providing the user with customized suggestions based on said health information and data from nearby restaurants and retail establishments; and automation means for a robot to demonstrate or instruct the user on cooking based on their choices. This enables specific and practical meal choices based on the user's health information, and helps users with insufficient cooking skills to confidently achieve healthy meals. 【0457】 "User health information" refers to data that indicates the user's health status, including measured values ​​such as blood sugar levels and blood pressure, as well as the results of health checkups. 【0458】 "Information technology means" refers to a technical device or method for acquiring a user's health information and suggesting optimal foods or meal menus. 【0459】 "Information processing means" refers to a device or method for analyzing data on food and menus collected from surrounding food and beverage establishments and retail establishments. 【0460】 "Information provision means" refers to a device or method for making customized suggestions to users based on analyzed data. 【0461】 "Automation means" refers to a technical device or method for a robot to demonstrate or instruct a user on cooking based on proposed options. 【0462】 To implement this application, the system operates as follows: 【0463】 The server's primary role is to acquire the user's health information. Users input their health data into the application using their smartphones or tablets and send it to the server. The server then uses the Python Pandas library to analyze this information and performs data processing to identify optimal foods and meal plans based on the user's health status. This processing uses backend services such as Firebase to manage the data. 【0464】 Furthermore, the server collects data from surrounding restaurants and retail establishments to build options tailored to users' health needs. This enables the provision of real-time information. Based on the collected data, information provision methods are used to make customized suggestions to users. 【0465】 On the other hand, household robots are equipped with automation mechanisms that allow them to demonstrate or instruct users on cooking based on suggested options. For example, if a user wants to learn how to cook using low-GI foods, the robot can specifically show them how to measure ingredients and the cooking procedure. 【0466】 As a concrete example, after a morning health check, the robot suggests a "low-GI vegetable risotto using brown rice" as the perfect lunch for the day, and then demonstrates the ingredients and recipe in the kitchen. This process utilizes a generative AI model, and by instructing the model with the prompt "Please suggest an appropriate lunch menu based on the latest health data entered by the user," the model can make the optimal suggestion. 【0467】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0468】 Step 1: 【0469】 The user uses a device to input their health information into the application. This information includes blood glucose levels, blood pressure, and health checkup results. The device then transmits this data to the server via a communication method. The input is the user's health information, and the output is the health information data sent to the server. 【0470】 Step 2: 【0471】 The server analyzes the received health information. It uses the Python Pandas library to process the data and select foods and meal menus optimized for the user's health condition. The input is health information data, and the output is recommended food and menu information. The server stores the selected results, saves them to a database, and performs further processing. 【0472】 Step 3: 【0473】 The server collects data on nearby restaurants and retail establishments and generates menus and food items tailored to the user's health needs. This process utilizes technology to obtain geographical and store information using external APIs. The input is the user's location and health needs, and the output is a list of menus from the relevant restaurants. 【0474】 Step 4: 【0475】 The server sends customized suggestions to the terminal using an information delivery system based on the analysis results. The terminal displays the suggested menus and foods, providing the user with choices. The input is the analyzed data, and the output is the customized menu information presented to the user. 【0476】 Step 5: 【0477】 The home robot performs cooking demonstrations or provides instruction based on information provided by a server. Using a generative AI model, it provides optimal cooking guidance to the user based on the prompt message, "Suggest an appropriate lunch menu based on the latest health data entered by the user." The input is recommended menu information received from the server, and the output is the cooking demonstration and instruction provided to the user. While demonstrating, the robot provides supplementary explanations as needed to aid the user's understanding. 【0478】 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. 【0479】 This invention is a system that suggests food and meal menus based on the user's health information and emotional state. This system mainly consists of a "communication device," a "processing device," an "output device," and an "emotion recognition engine." 【0480】 First, the user inputs their health information into the application using their device. This includes manual input of numerical data and image scans of test results. The user can also take a picture of their face using the camera and sensors built into the device and input their emotional state. The device then transmits this information to the server using a communication method. 【0481】 The server analyzes both health information and emotional state. Based on the health information, it assesses the user's health status and uses an emotion recognition engine to identify the user's current emotions. These emotions include, for example, stress, joy, and sadness. Based on this assessment, the server generates appropriate foods and meal menus. 【0482】 Next, data is collected from nearby restaurants and retail establishments to identify menus and ingredients best suited to the user's health and emotional state. For example, a user experiencing stress might be offered dishes using ingredients with relaxing properties. 【0483】 The server then sends the generated suggestions to the terminal, and the output device displays them on the screen. The user reviews the suggested menu and food options and makes a selection. 【0484】 As a concrete example, consider a user experiencing work-related stress using this system. If the user uses the emotion recognition function to input "stress" as their current emotion, the server will generate and send suggestions to the user that include herbal teas and foods rich in vitamin C, which are considered effective in relieving stress. This method allows the user to choose an optimal diet tailored to their health condition and emotions. 【0485】 Thus, this system provides personalized dietary guidance that takes both health and emotional well-being into consideration, supporting an improvement in the quality of a healthy lifestyle. 【0486】 The following describes the processing flow. 【0487】 Step 1: 【0488】 The user launches an application on their device and enters health information. This includes data such as blood glucose levels, weight, and scanned images of test results. They also use the device's camera to take a picture of their face and input their emotional state. 【0489】 Step 2: 【0490】 The device transmits collected health information and emotional state data to a server via a communication method. The information is encrypted to protect privacy. 【0491】 Step 3: 【0492】 The server analyzes the received health information and evaluates the user's health status. Simultaneously, the emotion recognition engine analyzes the user's emotions based on the transmitted facial image data. 【0493】 Step 4: 【0494】 The server compiles an assessment of your health and emotional state and generates an optimal meal plan based on this. If your emotional state is determined to be "stressed," it will create a menu that includes foods and herbal teas suitable for stress reduction. 【0495】 Step 5: 【0496】 The server queries a database of nearby restaurants and retail establishments to collect facility information that matches the generated menu. 【0497】 Step 6: 【0498】 The server sends the generated customization suggestions to the terminal. 【0499】 Step 7: 【0500】 The device displays customized menu suggestions and recommended dining establishments to the user. 【0501】 Step 8: 【0502】 The user reviews the suggested menu and makes a selection. If necessary, they can visit the suggested facility and actually enjoy the recommended meal. 【0503】 (Example 2) 【0504】 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." 【0505】 In modern society, there is a problem in that it is difficult to make dietary choices that suit individual health and emotional states. In particular, users who lead stressful lives have difficulty choosing an optimal diet that is in line with their emotions and health condition. Furthermore, opportunities to receive personalized dietary suggestions using information from surrounding facilities are limited. In this situation, there is a need for a system that can provide efficient and personalized dietary suggestions. 【0506】 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. 【0507】 In this invention, the server includes communication means for acquiring the user's health information and emotional state and generating optimal food and meal menus based on said health information and emotional state; processing means for collecting data on food and menus from nearby restaurants and retail establishments and optimizing suggestions based on the collected data; and output means for presenting the user with customized suggestions based on said health information, emotional state, and data from nearby restaurants and retail establishments. This enables the user to efficiently make individual meal choices that are perfectly tailored to their own health and emotional state. 【0508】 A "user" is an individual who uses the system to receive dietary suggestions based on their health information and emotional state. 【0509】 "Health information" refers to data about the user's physical condition, including blood pressure, weight, and past medical test results. 【0510】 "Emotional state" refers to the psychological state of a user at the time they use the system, and includes emotions such as stress, joy, and sadness. 【0511】 "Communication means" refers to a device or method using the Internet or similar technology to acquire a user's health information and emotional state and transmit it to a server. 【0512】 "Processing means" refers to a device or program that has the function of analyzing the user's health information and emotional state and generating appropriate food and meal menus. 【0513】 "Output means" refers to a device or interface used to present customized suggestions generated by the server to the user, and includes screen displays and the like. 【0514】 "Nearby food and beverage establishments and retail facilities" refers to shops and facilities that provide food and ingredients and are located within an accessible range based on the user's location information. 【0515】 This invention is a system that proposes personalized foods and meal menus based on a user's health information and emotional state. This system mainly consists of a terminal, a server, communication means, processing means, and output means. 【0516】 Users input their health information using the device. This information includes blood pressure, weight, and past health checkup results. Regarding emotional states, the device's built-in camera and sensors capture facial expressions, which are then analyzed by an emotion recognition engine. This determines whether the user is experiencing emotions such as "stress" or "joy." 【0517】 The device transmits this health information and emotional state to the server using a communication method. The communication uses an internet-based protocol. The server uses a generative AI model to analyze the received information, assessing the health state and identifying the emotional state. 【0518】 The server generates optimal food and meal menus for the user based on the analysis results. The generated suggestions also take into account data collected from nearby restaurants and shops. This allows the user to receive choices that best suit their current health and emotional state. 【0519】 As a concrete example, consider a user who is experiencing stress at work. When this user uses the system's emotion recognition function to input "stress," the server suggests foods that are effective in relieving stress. These foods might include relaxing herbal teas or fruits rich in vitamin C. 【0520】 (Example of prompt text to input to the generated AI model) 【0521】 "When a user's emotional state is stressed, please suggest a menu that promotes relaxation." 【0522】 This system allows users to make optimal dietary choices tailored to their health and emotional state, making it easier to maintain a healthy lifestyle. 【0523】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0524】 Step 1: 【0525】 The user uses a device to input health information and emotional status. This information includes numerical data such as blood pressure and weight manually entered on the device's application screen, or uploaded as photos of past health checkup results. Furthermore, by taking a picture of the user's face using the device's camera, the emotion recognition engine analyzes the facial expression data to determine the emotional status. The input for this step is health data and emotional data, and the output is a summary of this data. 【0526】 Step 2: 【0527】 The device transmits acquired health information and emotional state to a server via the internet. This involves secure communication processing to transmit the input data to the server. Through this process, the data is entered into the server. 【0528】 Step 3: 【0529】 The server analyzes the received data. First, a generative AI model evaluates the health status based on health information. This model quantitatively calculates the current health trend by comparing it with past data. Next, an emotion recognition engine analyzes facial image data to identify emotions such as stress, joy, and sadness. The output of this step is the result of the health status evaluation and the result of the emotion recognition. 【0530】 Step 4: 【0531】 The server generates an optimal meal plan for the user based on the analysis results. Here, a generative AI model is used to generate different suggestions based on the user's health status and emotions. The output is a customized list of foods and menu items. 【0532】 Step 5: 【0533】 The server collects data on foods and menus suitable for the user's health and emotional state from nearby restaurants and retail establishments. Based on location information, it collects information on menus and selectable ingredients offered by the relevant establishments. This is a process where location information is provided to the server as input, and a list of suitable foods is output. 【0534】 Step 6: 【0535】 The server sends the generated suggestions to the terminal, which then displays them using the terminal's output device. The terminal displays the suggestions on its screen, providing the user with choices through a visual interface. The output in this step consists of specific meal menus and food suggestions for the user. 【0536】 Step 7: 【0537】 Users view recommended menus and foods via their device and make selections based on their needs and preferences. Here, users review the options presented on the device and make purchasing or selection decisions. The purpose of this step is to assist users in making the best choice; the final decision rests with the user. 【0538】 (Application Example 2) 【0539】 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." 【0540】 In modern society, daily stress and irregular lifestyles make it difficult to manage health and maintain emotional balance. In particular, choosing foods that suit individual health conditions and emotional states is important for improving quality of life, but conventional systems have struggled to effectively support this. 【0541】 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. 【0542】 In this invention, the server includes means for acquiring the user's health information and emotional state and suggesting food and menus based on that information, means for collecting data from nearby restaurants and shops, and means for customizing and outputting the information to be provided. This allows the user to choose meals optimized for their own health condition and emotional state. 【0543】 A "user" is an individual who uses the system and is the subject who inputs health information and emotional status. 【0544】 "Health information" refers to data about the user's physical condition, including numerical values ​​and indicators obtained through manual input or wearable devices. 【0545】 "Emotional state" refers to the user's mental state, including stress, joy, and other information detected by facial recognition technology. 【0546】 An "information processing device" is a device that analyzes and converts digital data, and has the function of generating meal suggestions based on the user's health information and emotional state. 【0547】 An "information output device" is a device that provides analyzed information to the user visually or audibly, and presents suggested food items or menus. 【0548】 "Communication means" refers to technologies or equipment used to send and receive data between an information processing device and an external device or server. 【0549】 "Nearby dining and sales locations" refers to stores and facilities located near the user, and is the target of the system's acquisition of data regarding food and menus. 【0550】 The system implementing this invention is configured to efficiently acquire and analyze the user's health information and emotional state, and to suggest optimal foods and meal menus based on this information. Its main components include an information processing device, an information output device, and communication means. 【0551】 The information processing system uses hardware such as Raspberry Pi and Jetson Nano, and detects the user's emotional state through facial recognition using OpenCV and DeepFace. Health information is acquired and processed as numerical data using NumPy and Pandas. The analyzed health information and emotional state data are supplied to an AI model, which uses Scikit-learn to generate dietary suggestions based on past data. This process enables the suggestion of foods optimized for each user. 【0552】 The information output device uses a screen display and speakers to provide visual and audible feedback of the analysis results to the user. This makes it easier to review the suggested food items and menus. 【0553】 The communication method involves a local server built using Flask, which handles communication between devices and with external data sources. This allows users to obtain the latest food data from nearby sales locations. 【0554】 As a concrete example, if a user is detected as being in a "fatigued state" by facial recognition, the information processing device sends a prompt message to the AI ​​model that generates a menu using herbs with relaxing effects. An example of this prompt message is, "Generate a list of the best health foods for someone whose emotional state is fatigued." 【0555】 In this way, it becomes possible to provide users with appropriate dietary options based on their health and emotional state, thereby supporting an improvement in their quality of life. 【0556】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0557】 Step 1: 【0558】 The terminal prompts users to input health information. This input includes automatic data acquisition from wearable devices and direct numerical input. This data is preprocessed using NumPy or Pandas and converted into a parseable format. 【0559】 Step 2: 【0560】 The device uses its camera to capture the user's face and initiates the emotion recognition process. OpenCV and DeepFace are used to analyze the emotional state from the image data. The analysis results, such as tags like "stress" or "fatigue," are then output. 【0561】 Step 3: 【0562】 The server receives both health information and emotional state, preparing input for the generative AI model. It generates prompt statements, specifying which foods should be suggested based on the health information and emotional state. 【0563】 Step 4: 【0564】 The server uses Scikit-learn to reference historical data and generate personalized suggestions for each user. Based on prompts, it sends a food suggestion request to the generating AI model and outputs an appropriate menu list. 【0565】 Step 5: 【0566】 The server collects data from nearby restaurants and retail establishments and integrates it with the generated menu list. Using Flask for communication, it maintains the most up-to-date data and optimizes the information provided to users. 【0567】 Step 6: 【0568】 The user's device receives the final food recommendations and provides visual or audio guidance through its display and speaker. This allows the user to review the suggested menu and make choices that suit their lifestyle. 【0569】 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. 【0570】 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. 【0571】 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. 【0572】 [Fourth Embodiment] 【0573】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0574】 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. 【0575】 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). 【0576】 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. 【0577】 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. 【0578】 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). 【0579】 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. 【0580】 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. 【0581】 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. 【0582】 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. 【0583】 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. 【0584】 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. 【0585】 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". 【0586】 This invention is a system that suggests optimal foods and meal menus according to the user's health condition. This system mainly consists of a "communication device," a "processing device," and an "output device." 【0587】 First, users input their health information into the application using a device such as a smartphone or tablet. For example, they can manually enter data such as blood sugar levels and blood pressure, or scan and upload the results of a health checkup. The device then transmits this information to the server via a communication method. 【0588】 Next, the server processes the received health information to suggest suitable meals and foods for the user. The server searches a database of nearby restaurants and shops and lists menus and ingredients that meet the user's health needs. For example, for a user with diabetes, it extracts meal menus that actively include low-GI foods. 【0589】 The server then sends the processed information to the user, who receives and displays it on their device. The device displays a list of personalized meal plans based on the user's health status, as well as suitable restaurants and shops near their current location. This allows users to make optimal choices instantly when dining out or purchasing food. 【0590】 Users can review the suggested options on their devices and interact with other users through community features as needed. Within the community, they can exchange health-related information, share recipes, and even receive advice from nutritionists and health professionals. 【0591】 Thus, this system supports users in making food choices tailored to their individual health conditions and provides comprehensive support for achieving a healthy lifestyle. This embodiment can meet the diverse health needs of consumers and improve the quality of their diets. 【0592】 The following describes the processing flow. 【0593】 Step 1: 【0594】 The user launches the application on their device and enters their health information. This includes manually entering numerical data and uploading scanned health checkup results. 【0595】 Step 2: 【0596】 The device transmits the entered health information to the server via a communication device. Encryption technology is used for secure data transfer. 【0597】 Step 3: 【0598】 Based on the health information received by the server, the system analyzes the profiles of registered users and calculates indicators related to their health status. 【0599】 Step 4: 【0600】 Based on the user's health status, the server queries a database of nearby restaurants and shops to list suitable food and menu options. 【0601】 Step 5: 【0602】 The server analyzes the listed information and generates customized suggestions tailored to the user's health initiatives. 【0603】 Step 6: 【0604】 The device receives customization suggestions sent from the server and displays them visually on the screen. 【0605】 Step 7: 【0606】 Users can use their devices to view details of suggested menus and food items and make selections. If necessary, they can share information and exchange opinions with other users through community features. 【0607】 (Example 1) 【0608】 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". 【0609】 In modern society, selecting the optimal foods and meal plans based on individual health conditions is crucial, but integrating diverse health information and providing appropriate suggestions tailored to the surrounding environment is challenging. Furthermore, existing systems lack the ability to monitor health conditions in real time and to customize solutions to individual needs. 【0610】 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. 【0611】 In this invention, the server includes means for acquiring the user's health information and generating customized suggestions using a generative AI model based on said health information; means for collecting information on food and menus from nearby restaurants and retail establishments; and means for providing the user with optimized suggestions generated by the generative AI model based on said health information and information from nearby restaurants and retail establishments. This makes it possible for the user to easily select foods and meal menus that are best suited to their health condition. 【0612】 "Health information" refers to numerical data and records that indicate an individual's health status, including blood sugar levels, blood pressure, and allergy information. 【0613】 A "generative AI model" is a model that uses artificial intelligence techniques to generate optimal suggestions or solutions based on input information. 【0614】 "Customized suggestions" refer to suggestions for foods and meal plans that are individually optimized based on each user's health information. 【0615】 "Food and beverage establishments and retail establishments" refers to stores and places that serve or sell food and beverages, including restaurants and supermarkets. 【0616】 "Means of collecting information" refers to methods and systems for gathering necessary information using database searches or APIs. 【0617】 "Optimized suggestions" refer to meal menus and foods that are best suited to the user's individual health goals and conditions, as derived by a generated AI model based on the user's health information and surrounding environment. 【0618】 This invention relates to a system configured to suggest optimal foods and meal menus based on the user's health information. This system consists of a communication device, a processing device, and an output device. 【0619】 First, users input their health information into a dedicated application using a device such as a smartphone or tablet. This information includes blood sugar levels, blood pressure, and allergy information. The device then transmits this information to a server via an internet connection. The health information obtained by the device consists of digitized paper health checkup results using a scanning function, as well as data entered directly. 【0620】 Next, the server searches a database based on the received health information and suggests suitable meals and foods for the user. This server processing is carried out using programming languages ​​such as Python to efficiently search and process data. Specifically, it uses a MySQL database to extract food information that matches the user's health condition. Furthermore, it uses a generative AI model to create personalized and highly customized suggestions. For example, for a user with diabetes, it suggests a menu that includes foods with a low glycemic index (GI). 【0621】 The server then sends the processing results to the user's terminal, which receives and displays them. An application built using a programming development environment such as Flutter visualizes and presents the suggestions to the user in an easy-to-understand way. The information presented includes recommended restaurants and food stores based on the user's current location, enabling the user to make health-conscious choices immediately in their daily life. 【0622】 A concrete example of a prompt sentence would be, "What meal menu would you recommend for a 50-year-old male with slightly elevated blood sugar, currently located in Tokyo?" This allows the generative AI model to provide optimal suggestions based on the relevant conditions. 【0623】 As described above, the system of the present invention makes it possible to effectively process complex health information and provide useful suggestions tailored to the individual needs of users in real time. 【0624】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0625】 Step 1: 【0626】 This step involves the user entering health information into an application using a smartphone or tablet. The user directly enters blood sugar levels, blood pressure, and allergy information on the input screen, or digitizes health checkup results by scanning them with their smartphone camera. The entered data is temporarily stored on the device. The output is the health information ready to be sent to the server in the next step. 【0627】 Step 2: 【0628】 This step involves the device using a communication method to send the user's health information to the server. The health information is securely packaged using an encryption protocol. Specifically, the data is generated using the TLS protocol, and a POST request is sent to a specified endpoint on the server via a secure internet connection. As a result, the server receives the user's health information. 【0629】 Step 3: 【0630】 This step involves the server searching a database based on received health information to generate a meal plan suitable for the user. The input is health information sent from the terminal, and a Python script processes the data. The server queries a MySQL database for food information based on conditions such as blood glucose levels and allergy information. It also inputs prompts into a generating AI model to calculate personalized meal suggestions. The output is the suggested meal plan. 【0631】 Step 4: 【0632】 This step involves the server sending meal suggestions generated by the server to the user's device. The server converts the generated data into JSON format, encrypts it again, and sends it back to the device. This process minimizes response time and ensures efficient data transmission. As a result, the device receives the recommended menu. 【0633】 Step 5: 【0634】 This step displays the recommended menu received by the device to the user. An application using Flutter parses the JSON data and displays it as a list in the user interface. Where possible, information on nearby restaurants and food stores is also displayed. This allows the user to check the suggested menu in real time and make their next meal selection. 【0635】 Through these steps, the system enables users to make optimal food choices based on their health, supporting their health management. 【0636】 (Application Example 1) 【0637】 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". 【0638】 Conventional meal suggestion systems are limited to selecting foods based on the user's health condition, and do not address the actual cooking of ingredients or provide specific guidance to the user. Therefore, achieving optimal meal selection was difficult. Furthermore, users lacking cooking skills may have concerns about the suggested menus, limiting the effectiveness of health improvement. 【0639】 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. 【0640】 In this invention, the server includes information technology means for acquiring the user's health information and suggesting optimal foods and meal menus based on said health information; information processing means for collecting data on foods and menus from nearby restaurants and retail establishments; information provision means for providing the user with customized suggestions based on said health information and data from nearby restaurants and retail establishments; and automation means for a robot to demonstrate or instruct the user on cooking based on their choices. This enables specific and practical meal choices based on the user's health information, and helps users with insufficient cooking skills to confidently achieve healthy meals. 【0641】 "User health information" refers to data that indicates the user's health status, including measured values ​​such as blood sugar levels and blood pressure, as well as the results of health checkups. 【0642】 "Information technology means" refers to a technical device or method for acquiring a user's health information and suggesting optimal foods or meal menus. 【0643】 "Information processing means" refers to a device or method for analyzing data on food and menus collected from surrounding food and beverage establishments and retail establishments. 【0644】 "Information provision means" refers to a device or method for making customized suggestions to users based on analyzed data. 【0645】 "Automation means" refers to a technical device or method for a robot to demonstrate or instruct a user on cooking based on proposed options. 【0646】 To implement this application, the system operates as follows: 【0647】 The server's primary role is to acquire the user's health information. Users input their health data into the application using their smartphones or tablets and send it to the server. The server then uses the Python Pandas library to analyze this information and performs data processing to identify optimal foods and meal plans based on the user's health status. This processing uses backend services such as Firebase to manage the data. 【0648】 Furthermore, the server collects data from surrounding restaurants and retail establishments to build options tailored to users' health needs. This enables the provision of real-time information. Based on the collected data, information provision methods are used to make customized suggestions to users. 【0649】 On the other hand, household robots are equipped with automation mechanisms that allow them to demonstrate or instruct users on cooking based on suggested options. For example, if a user wants to learn how to cook using low-GI foods, the robot can specifically show them how to measure ingredients and the cooking procedure. 【0650】 As a concrete example, after a morning health check, the robot suggests a "low-GI vegetable risotto using brown rice" as the perfect lunch for the day, and then demonstrates the ingredients and recipe in the kitchen. This process utilizes a generative AI model, and by instructing the model with the prompt "Please suggest an appropriate lunch menu based on the latest health data entered by the user," the model can make the optimal suggestion. 【0651】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0652】 Step 1: 【0653】 The user uses a device to input their health information into the application. This information includes blood glucose levels, blood pressure, and health checkup results. The device then transmits this data to the server via a communication method. The input is the user's health information, and the output is the health information data sent to the server. 【0654】 Step 2: 【0655】 The server analyzes the received health information. It uses the Python Pandas library to process the data and select foods and meal menus optimized for the user's health condition. The input is health information data, and the output is recommended food and menu information. The server stores the selected results, saves them to a database, and performs further processing. 【0656】 Step 3: 【0657】 The server collects data on nearby restaurants and retail establishments and generates menus and food items tailored to the user's health needs. This process utilizes technology to obtain geographical and store information using external APIs. The input is the user's location and health needs, and the output is a list of menus from the relevant restaurants. 【0658】 Step 4: 【0659】 The server sends customized suggestions to the terminal using an information delivery system based on the analysis results. The terminal displays the suggested menus and foods, providing the user with choices. The input is the analyzed data, and the output is the customized menu information presented to the user. 【0660】 Step 5: 【0661】 The home robot performs cooking demonstrations or provides instruction based on information provided by a server. Using a generative AI model, it provides optimal cooking guidance to the user based on the prompt message, "Suggest an appropriate lunch menu based on the latest health data entered by the user." The input is recommended menu information received from the server, and the output is the cooking demonstration and instruction provided to the user. While demonstrating, the robot provides supplementary explanations as needed to aid the user's understanding. 【0662】 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. 【0663】 This invention is a system that suggests food and meal menus based on the user's health information and emotional state. This system mainly consists of a "communication device," a "processing device," an "output device," and an "emotion recognition engine." 【0664】 First, the user inputs their health information into the application using their device. This includes manual input of numerical data and image scans of test results. The user can also take a picture of their face using the camera and sensors built into the device and input their emotional state. The device then transmits this information to the server using a communication method. 【0665】 The server analyzes both health information and emotional state. Based on the health information, it assesses the user's health status and uses an emotion recognition engine to identify the user's current emotions. These emotions include, for example, stress, joy, and sadness. Based on this assessment, the server generates appropriate foods and meal menus. 【0666】 Next, data is collected from nearby restaurants and retail establishments to identify menus and ingredients best suited to the user's health and emotional state. For example, a user experiencing stress might be offered dishes using ingredients with relaxing properties. 【0667】 The server then sends the generated suggestions to the terminal, and the output device displays them on the screen. The user reviews the suggested menu and food options and makes a selection. 【0668】 As a concrete example, consider a user experiencing work-related stress using this system. If the user uses the emotion recognition function to input "stress" as their current emotion, the server will generate and send suggestions to the user that include herbal teas and foods rich in vitamin C, which are considered effective in relieving stress. This method allows the user to choose an optimal diet tailored to their health condition and emotions. 【0669】 Thus, this system provides personalized dietary guidance that takes both health and emotional well-being into consideration, supporting an improvement in the quality of a healthy lifestyle. 【0670】 The following describes the processing flow. 【0671】 Step 1: 【0672】 The user launches an application on their device and enters health information. This includes data such as blood glucose levels, weight, and scanned images of test results. They also use the device's camera to take a picture of their face and input their emotional state. 【0673】 Step 2: 【0674】 The device transmits collected health information and emotional state data to a server via a communication method. The information is encrypted to protect privacy. 【0675】 Step 3: 【0676】 The server analyzes the received health information and evaluates the user's health status. Simultaneously, the emotion recognition engine analyzes the user's emotions based on the transmitted facial image data. 【0677】 Step 4: 【0678】 The server compiles an assessment of your health and emotional state and generates an optimal meal plan based on this. If your emotional state is determined to be "stressed," it will create a menu that includes foods and herbal teas suitable for stress reduction. 【0679】 Step 5: 【0680】 The server queries a database of nearby restaurants and retail establishments to collect facility information that matches the generated menu. 【0681】 Step 6: 【0682】 The server sends the generated customization suggestions to the terminal. 【0683】 Step 7: 【0684】 The device displays customized menu suggestions and recommended dining establishments to the user. 【0685】 Step 8: 【0686】 The user reviews the suggested menu and makes a selection. If necessary, they can visit the suggested facility and actually enjoy the recommended meal. 【0687】 (Example 2) 【0688】 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". 【0689】 In modern society, there is a problem in that it is difficult to make dietary choices that suit individual health and emotional states. In particular, users who lead stressful lives have difficulty choosing an optimal diet that is in line with their emotions and health condition. Furthermore, opportunities to receive personalized dietary suggestions using information from surrounding facilities are limited. In this situation, there is a need for a system that can provide efficient and personalized dietary suggestions. 【0690】 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. 【0691】 In this invention, the server includes communication means for acquiring the user's health information and emotional state and generating optimal food and meal menus based on said health information and emotional state; processing means for collecting data on food and menus from nearby restaurants and retail establishments and optimizing suggestions based on the collected data; and output means for presenting the user with customized suggestions based on said health information, emotional state, and data from nearby restaurants and retail establishments. This enables the user to efficiently make individual meal choices that are perfectly tailored to their own health and emotional state. 【0692】 A "user" is an individual who uses the system to receive dietary suggestions based on their health information and emotional state. 【0693】 "Health information" refers to data about the user's physical condition, including blood pressure, weight, and past medical test results. 【0694】 "Emotional state" refers to the psychological state of a user at the time they use the system, and includes emotions such as stress, joy, and sadness. 【0695】 "Communication means" refers to a device or method using the Internet or similar technology to acquire a user's health information and emotional state and transmit it to a server. 【0696】 "Processing means" refers to a device or program that has the function of analyzing the user's health information and emotional state and generating appropriate food and meal menus. 【0697】 "Output means" refers to a device or interface used to present customized suggestions generated by the server to the user, and includes screen displays and the like. 【0698】 "Nearby food and beverage establishments and retail facilities" refers to shops and facilities that provide food and ingredients and are located within an accessible range based on the user's location information. 【0699】 This invention is a system that proposes personalized foods and meal menus based on a user's health information and emotional state. This system mainly consists of a terminal, a server, communication means, processing means, and output means. 【0700】 Users input their health information using the device. This information includes blood pressure, weight, and past health checkup results. Regarding emotional states, the device's built-in camera and sensors capture facial expressions, which are then analyzed by an emotion recognition engine. This determines whether the user is experiencing emotions such as "stress" or "joy." 【0701】 The device transmits this health information and emotional state to the server using a communication method. The communication uses an internet-based protocol. The server uses a generative AI model to analyze the received information, assessing the health state and identifying the emotional state. 【0702】 The server generates optimal food and meal menus for the user based on the analysis results. The generated suggestions also take into account data collected from nearby restaurants and shops. This allows the user to receive choices that best suit their current health and emotional state. 【0703】 As a concrete example, consider a user who is experiencing stress at work. When this user uses the system's emotion recognition function to input "stress," the server suggests foods that are effective in relieving stress. These foods might include relaxing herbal teas or fruits rich in vitamin C. 【0704】 (Example of prompt text to input to the generated AI model) 【0705】 "When a user's emotional state is stressed, please suggest a menu that promotes relaxation." 【0706】 This system allows users to make optimal dietary choices tailored to their health and emotional state, making it easier to maintain a healthy lifestyle. 【0707】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0708】 Step 1: 【0709】 The user uses a device to input health information and emotional status. This information includes numerical data such as blood pressure and weight manually entered on the device's application screen, or uploaded as photos of past health checkup results. Furthermore, by taking a picture of the user's face using the device's camera, the emotion recognition engine analyzes the facial expression data to determine the emotional status. The input for this step is health data and emotional data, and the output is a summary of this data. 【0710】 Step 2: 【0711】 The device transmits acquired health information and emotional state to a server via the internet. This involves secure communication processing to transmit the input data to the server. Through this process, the data is entered into the server. 【0712】 Step 3: 【0713】 The server analyzes the received data. First, a generative AI model evaluates the health status based on health information. This model quantitatively calculates the current health trend by comparing it with past data. Next, an emotion recognition engine analyzes facial image data to identify emotions such as stress, joy, and sadness. The output of this step is the result of the health status evaluation and the result of the emotion recognition. 【0714】 Step 4: 【0715】 The server generates an optimal meal plan for the user based on the analysis results. Here, a generative AI model is used to generate different suggestions based on the user's health status and emotions. The output is a customized list of foods and menu items. 【0716】 Step 5: 【0717】 The server collects data on foods and menus suitable for the user's health and emotional state from nearby restaurants and retail establishments. Based on location information, it collects information on menus and selectable ingredients offered by the relevant establishments. This is a process where location information is provided to the server as input, and a list of suitable foods is output. 【0718】 Step 6: 【0719】 The server sends the generated suggestions to the terminal, which then displays them using the terminal's output device. The terminal displays the suggestions on its screen, providing the user with choices through a visual interface. The output in this step consists of specific meal menus and food suggestions for the user. 【0720】 Step 7: 【0721】 Users view recommended menus and foods via their device and make selections based on their needs and preferences. Here, users review the options presented on the device and make purchasing or selection decisions. The purpose of this step is to assist users in making the best choice; the final decision rests with the user. 【0722】 (Application Example 2) 【0723】 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". 【0724】 In modern society, daily stress and irregular lifestyles make it difficult to manage health and maintain emotional balance. In particular, choosing foods that suit individual health conditions and emotional states is important for improving quality of life, but conventional systems have struggled to effectively support this. 【0725】 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. 【0726】 In this invention, the server includes means for acquiring the user's health information and emotional state and suggesting food and menus based on that information, means for collecting data from nearby restaurants and shops, and means for customizing and outputting the information to be provided. This allows the user to choose meals optimized for their own health condition and emotional state. 【0727】 A "user" is an individual who uses the system and is the subject who inputs health information and emotional status. 【0728】 "Health information" refers to data about the user's physical condition, including numerical values ​​and indicators obtained through manual input or wearable devices. 【0729】 "Emotional state" refers to the user's mental state, including stress, joy, and other information detected by facial recognition technology. 【0730】 An "information processing device" is a device that analyzes and converts digital data, and has the function of generating meal suggestions based on the user's health information and emotional state. 【0731】 An "information output device" is a device that provides analyzed information to the user visually or audibly, and presents suggested food items or menus. 【0732】 "Communication means" refers to technologies or equipment used to send and receive data between an information processing device and an external device or server. 【0733】 "Nearby dining and sales locations" refers to stores and facilities located near the user, and is the target of the system's acquisition of data regarding food and menus. 【0734】 The system implementing this invention is configured to efficiently acquire and analyze the user's health information and emotional state, and to suggest optimal foods and meal menus based on this information. Its main components include an information processing device, an information output device, and communication means. 【0735】 The information processing system uses hardware such as Raspberry Pi and Jetson Nano, and detects the user's emotional state through facial recognition using OpenCV and DeepFace. Health information is acquired and processed as numerical data using NumPy and Pandas. The analyzed health information and emotional state data are supplied to an AI model, which uses Scikit-learn to generate dietary suggestions based on past data. This process enables the suggestion of foods optimized for each user. 【0736】 The information output device uses a screen display and speakers to provide visual and audible feedback of the analysis results to the user. This makes it easier to review the suggested food items and menus. 【0737】 The communication method involves a local server built using Flask, which handles communication between devices and with external data sources. This allows users to obtain the latest food data from nearby sales locations. 【0738】 As a concrete example, if a user is detected as being in a "fatigued state" by facial recognition, the information processing device sends a prompt message to the AI ​​model that generates a menu using herbs with relaxing effects. An example of this prompt message is, "Generate a list of the best health foods for someone whose emotional state is fatigued." 【0739】 In this way, it becomes possible to provide users with appropriate dietary options based on their health and emotional state, thereby supporting an improvement in their quality of life. 【0740】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0741】 Step 1: 【0742】 The terminal prompts users to input health information. This input includes automatic data acquisition from wearable devices and direct numerical input. This data is preprocessed using NumPy or Pandas and converted into a parseable format. 【0743】 Step 2: 【0744】 The device uses its camera to capture the user's face and initiates the emotion recognition process. OpenCV and DeepFace are used to analyze the emotional state from the image data. The analysis results, such as tags like "stress" or "fatigue," are then output. 【0745】 Step 3: 【0746】 The server receives both health information and emotional state, preparing input for the generative AI model. It generates prompt statements, specifying which foods should be suggested based on the health information and emotional state. 【0747】 Step 4: 【0748】 The server uses Scikit-learn to reference historical data and generate personalized suggestions for each user. Based on prompts, it sends a food suggestion request to the generating AI model and outputs an appropriate menu list. 【0749】 Step 5: 【0750】 The server collects data from nearby restaurants and retail establishments and integrates it with the generated menu list. Using Flask for communication, it maintains the most up-to-date data and optimizes the information provided to users. 【0751】 Step 6: 【0752】 The user's device receives the final food recommendations and provides visual or audio guidance through its display and speaker. This allows the user to review the suggested menu and make choices that suit their lifestyle. 【0753】 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. 【0754】 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. 【0755】 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. 【0756】 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. 【0757】 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. 【0758】 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. 【0759】 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. 【0760】 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. 【0761】 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." 【0762】 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. 【0763】 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. 【0764】 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. 【0765】 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. 【0766】 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. 【0767】 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. 【0768】 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. 【0769】 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. 【0770】 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. 【0771】 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. 【0772】 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. 【0773】 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. 【0774】 The following is further disclosed regarding the embodiments described above. 【0775】 (Claim 1) 【0776】 A communication device for acquiring the user's health information and suggesting optimal foods and meal menus based on said health information, 【0777】 A processing device for collecting data on food and menus from surrounding restaurants and retail establishments, 【0778】 An output device for providing the user with customized suggestions based on the health information and data from surrounding restaurants and retail establishments, 【0779】 A system that includes this. 【0780】 (Claim 2) 【0781】 The system according to claim 1, which acquires health information from a wearable device in order to monitor the user's health status in real time. 【0782】 (Claim 3) 【0783】 The system according to claim 1, which performs a process of analyzing health information entered by a user and generating customized recommendation methods, including nutritional guidance. 【0784】 "Example 1" 【0785】 (Claim 1) 【0786】 A means for acquiring user health information and generating customized suggestions using an AI model based on said health information, 【0787】 A means of collecting information on food and menus from surrounding restaurants and retail establishments, 【0788】 A means of providing the user with optimized suggestions based on their health information and information on surrounding restaurants and retail establishments, using a generated AI model. 【0789】 A system that includes this. 【0790】 (Claim 2) 【0791】 The system according to claim 1, which monitors the user's health status in real time and acquires health information by direct input or using a camera. 【0792】 (Claim 3) 【0793】 The system according to claim 1, which analyzes health information entered by a user and generates personalized recommendation methods, including nutritional guidance, using a generation AI model. 【0794】 "Application Example 1" 【0795】 (Claim 1) 【0796】 Information technology means for acquiring users' health information and suggesting optimal foods and meal menus based on said health information, 【0797】 Information processing means for collecting data on food and menus from surrounding restaurants and retail establishments, 【0798】 Information provision means for providing the user with customized suggestions based on the health information and data on surrounding food and beverage establishments and retail establishments, 【0799】 An automated means for a robot to demonstrate or instruct a user on cooking based on their choices, 【0800】 A system that includes this. 【0801】 (Claim 2) 【0802】 The system according to claim 1, which acquires health information from a wearable device in order to monitor the user's health status in real time. 【0803】 (Claim 3) 【0804】 The system according to claim 1, which performs a process of analyzing health information entered by a user and generating customized recommendation methods, including cooking instructions. 【0805】 "Example 2 of combining an emotion engine" 【0806】 (Claim 1) 【0807】 A communication means for acquiring a user's health information and emotional state, and for generating optimal foods and meal menus based on said health information and emotional state, 【0808】 A processing means for collecting data on food and menus from surrounding restaurants and retail establishments, and for optimizing suggestions based on the collected data, 【0809】 An output means that presents the user with customized suggestions based on the user's health information, emotional state, and data on nearby food and beverage establishments and retail facilities, 【0810】 A system that includes this. 【0811】 (Claim 2) 【0812】 The system according to claim 1, which monitors the user's health and emotional state in real time and provides updated suggestions as needed. 【0813】 (Claim 3) 【0814】 The system according to claim 1, which analyzes health information and emotional state acquired by a user and processes to generate customized recommendations including nutritional guidance and psychological support. 【0815】 "Application example 2 when combining with an emotional engine" 【0816】 (Claim 1) 【0817】 An information processing device for acquiring a user's health information and emotional state, and for suggesting the most suitable foods and meal menus based on said health information and emotional state, 【0818】 An information processing device for collecting data on food and menus from nearby restaurants and retail establishments, 【0819】 An information output device for providing the user with customized suggestions based on the user's health information, emotional state, and data on nearby restaurants and shops, 【0820】 A system including communication means for communicating with surrounding information processing devices. 【0821】 (Claim 2) 【0822】 The system according to claim 1, which monitors the user's health status in real time and detects their emotional state using an emotion recognition device. 【0823】 (Claim 3) 【0824】 The system according to claim 1, which performs a process of analyzing health information entered by the user and the detected emotional state, and generating customized recommendation means including health guidance and food suggestions according to the emotional state. [Explanation of symbols] 【0825】 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] A communication device for acquiring the user's health information and suggesting optimal foods and meal menus based on said health information, A processing device for collecting data on food and menus from surrounding restaurants and retail establishments, An output device for providing the user with customized suggestions based on the health information and data from surrounding restaurants and retail establishments, A system that includes this. [Claim 2] The system according to claim 1, which acquires health information from a wearable device in order to monitor the user's health status in real time. [Claim 3] The system according to claim 1, which performs a process of analyzing health information entered by a user and generating customized recommendation methods, including nutritional guidance.

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