system

Abstract

We provide the system. [Solution] An information processing device that automatically generates an optimal menu based on the user's health information and nutritional goals, An information processing device that uses image recognition technology to detect food information and manage expiration dates, An information processing device that efficiently matches food products with other users and facilities, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, food loss, health management, and increasing economic burdens have become important issues. Food waste not only increases the environmental load but also generates unnecessary costs due to the inefficient utilization of food. In addition, there is a lack of optimal nutrition management based on individual health information, and the risks of obesity and lifestyle-related diseases are increasing. Furthermore, in a situation where means for comprehensively solving these problems and realizing a sustainable life are limited.

Means for Solving the Problems

[0005] This invention provides an information processing device that automatically generates an optimal menu based on the user's health information and nutritional goals, thereby enabling personalized nutritional management. Furthermore, it provides a system that efficiently detects food ingredient information using image recognition technology and manages expiration dates. This reduces food waste and allows for the effective use of ingredients. In addition, it provides an information processing device that matches users with other users and facilities that need food, aiming to realize a sustainable society through the entire system.

[0006] "User health information" refers to information that indicates the physical data and health status of individual users, including height, weight, allergies, food preferences, and health goals.

[0007] "Nutritional goals" refer to the nutritional status that each user wishes to achieve, and specifically include weight loss, muscle mass increase, and management of intake of specific nutrients.

[0008] An "information processing device that automatically generates menus" refers to a computer system that generates an optimal meal plan based on the user's health information and nutritional goals.

[0009] "Image recognition technology" is a technology that allows computers and devices to identify objects and characteristics from image data, and in this system, it is used for the identification and classification of food ingredients.

[0010] A "best before date management information processing device" refers to a computer system that analyzes the expiration dates of food ingredients and notifies the user to prevent food waste.

[0011] A "food matching information processing device" refers to a computer system that effectively connects consumers and facilities that need food that is nearing its expiration date.

[0012] "Food waste ingredients" refer to ingredients that are nearing their expiration date and are likely to be discarded, and for which reuse or repurposing is recommended. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

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

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

[0016] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

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

[0018] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0019] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0021] [First Embodiment]

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

[0023] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0024] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0026] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0030] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0033] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0034] This invention is a system designed to automatically generate optimal menus based on a user's health information and nutritional goals, while simultaneously reducing food waste. The system begins with a process of inputting the user's health data, manages the expiration dates of ingredients, and provides a mechanism to efficiently match food with other users or facilities as needed.

[0035] First, users input their health information through the application. This includes weight, height, allergy information, and nutritional goals. Based on this information, the system can propose a personalized nutrition plan tailored to each user's characteristics.

[0036] Next, let's discuss the food management function. Users take photos of food items in their home using their smartphone camera and upload them to the system. The device uses image recognition technology to identify the food items and their expiration dates. This information is sent to the server, and the system is configured to notify users of items that are nearing their expiration date.

[0037] This gives users the opportunity to use up food items nearing their expiration date without wasting them. Furthermore, by bringing food items close to their expiration date to a convenience store, the server adds this information to its database, creating a system for providing it to other consumers and facilities that need it.

[0038] As a concrete example, consider a user who wants to prevent obesity using this system. The user sets a nutritional goal of weight loss, and an AI nutritionist proposes a weekly menu that takes into account calories and nutrient balance. Daily meals are provided, and at the same time, expiration dates are managed to ensure that ingredients in the refrigerator are used efficiently. In addition, surplus ingredients are reused at nearby facilities or provided to individuals in need.

[0039] This system achieves efficient food waste reduction while promoting health management tailored to individual needs. In this way, it minimizes food waste while providing users with the opportunity to enjoy nutritionally balanced meals.

[0040] The following describes the processing flow.

[0041] Step 1:

[0042] The user launches the application and creates a new account. The user enters their name, email address, and password to create the account. After this, they enter health information such as height, weight, allergy information, food preferences, and nutritional goals.

[0043] Step 2:

[0044] The server receives the user's health information and nutritional goals and stores them in a database. Based on this, the AI ​​nutritionist module prepares to generate appropriate meal plans.

[0045] Step 3:

[0046] The server uses an AI algorithm to automatically generate an optimal weekly meal plan based on the user's health information. This plan takes into account the calorie and nutrient balance of each meal. The generated meal plan information is then sent to the user's device.

[0047] Step 4:

[0048] Users take photos of ingredients in their homes with their smartphone camera and upload them through the application. Users can also manually enter additional information to confirm the name and expiration date of each ingredient.

[0049] Step 5:

[0050] The device analyzes the captured image using image recognition technology to identify the name, quantity, and expiration date of the food item. This information is sent to a server and stored in a database.

[0051] Step 6:

[0052] The server manages the expiration dates of ingredients in a database and automatically sends notifications to users when the expiration date approaches. This allows users to prioritize the use of those ingredients.

[0053] Step 7:

[0054] Users bring in groceries that are nearing their expiration date and check in at a convenience store using a terminal. The terminal scans the information of the groceries and sends it to a server.

[0055] Step 8:

[0056] The server automatically generates new menus and recipes using an AI algorithm based on ingredients registered at convenience stores. This information, along with photos of the dishes, is provided to the user's device.

[0057] Step 9:

[0058] The server searches for other users and facilities that need ingredients that are nearing their expiration date and matches them as needed. Notifications are sent to arrange for bringing in or receiving the ingredients.

[0059] Step 10:

[0060] The server analyzes user usage data and provides feedback on health management. Furthermore, it calculates incentives based on usage and grants them to the user's account.

[0061] (Example 1)

[0062] 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."

[0063] There is a problem of food waste (food loss) occurring in households due to inadequate food management and insufficient consideration of nutritional balance. Furthermore, there is a challenge in providing appropriate meal plans based on individual health information. An effective system is needed to efficiently manage food ingredients and provide meal plans that align with nutritional goals.

[0064] 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.

[0065] This invention includes a server that uses generative AI to input user health data and generate a personalized nutrition plan based on nutritional goals; means of utilizing image processing to recognize the characteristics and shelf life of ingredients from images of ingredients that have been photographed; and means of optimizing distribution to redistribute food nearing its expiration date to other consumers or facilities. This allows users to obtain menus optimized for their individual health while simultaneously reducing food waste.

[0066] "Health data" refers to information about an individual's health status and goals, such as the user's weight, height, allergy information, and nutritional goals.

[0067] A "nutrition plan" refers to an optimal nutritional intake plan generated based on the user's health data.

[0068] "Generative AI" refers to artificial intelligence technology that analyzes data based on user input and generates information that is suitable for a specific purpose.

[0069] "Image processing" refers to the technology of extracting and analyzing useful information from captured image data.

[0070] "Shelf life" refers to the period during which food can be safely consumed without spoiling.

[0071] "Distribution" refers to the logistics process of efficiently moving food from suppliers to consumers or facilities.

[0072] "Nutritional balance" is a concept that means consuming the nutrients necessary for maintaining good health in the appropriate proportions.

[0073] "Food waste" refers to food that is discarded without being consumed, and is also known as food loss.

[0074] This invention provides a system that automatically generates an optimal nutrition plan based on the user's health data, manages food storage, and reduces food waste. This system is implemented using a smartphone, a server, a generative AI model, and image processing technology.

[0075] Users enter health information using a smartphone application. This includes weight, height, allergy information, and nutritional goals. The information entered by the user is sent to a server via the internet. The server passes this health data to a generating AI model, which generates an optimal nutrition plan for the user. This generating AI model proposes a plan that takes into account nutritional balance and calorie restrictions.

[0076] For example, if a user sets weight loss as their goal, the AI ​​will provide a meal plan that takes into account the calories and necessary nutrients for one week. An example of a prompt would be, "Please suggest a meal plan aimed at weight loss."

[0077] Furthermore, users use their smartphone cameras to photograph food items in their homes and upload this data to the application. The device uses image processing technology to identify the names and expiration dates of the food items and sends this information to a server. The server manages the expiration date information and provides a system to notify users of food items that are nearing their expiration date.

[0078] This system not only allows users to enjoy nutritionally balanced meals but also minimizes food waste in the home. By bringing food items nearing their expiration date to convenience stores or other locations, the server initiates procedures for redistributing the food to other consumers or facilities. In this way, by combining efficient food management with health support, it can make food culture more sustainable.

[0079] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0080] Step 1:

[0081] Users enter health data through a smartphone app. This data includes weight, height, allergy information, and nutritional goals. After this information is entered into the application, it is transmitted to a server via the internet. The entered data is stored in a database for use within the system.

[0082] Step 2:

[0083] The server sends the received health data to a generating AI model. The AI ​​model generates a personalized nutrition plan based on the user's health information and nutritional goals. This generating AI model performs calculations to optimize nutritional balance based on the input data and outputs the optimal meal plan for the user. For example, if a weight loss goal is set, a meal plan that is low in calories and contains the necessary nutrients will be generated.

[0084] Step 3:

[0085] Users take photos of food items in their homes with their smartphone camera and upload them to the application. The device uses image recognition technology to identify the type of food item and its expiration date. It extracts the characteristics of the food items from the input images and sends the identification results to the server. This allows the food item information to be reflected in the system.

[0086] Step 4:

[0087] The server manages expiration dates based on the acquired food data. It sends notifications to users for food items nearing their expiration date. This process retrieves expiration information from the database and sends alerts to users via push notifications. The information conveyed to users might be something like, "There are some food items that should be used within 3 days."

[0088] Step 5:

[0089] The server organizes information on food nearing its expiration date for redistribution to other users and facilities. When food is brought in, the information is added to the database and shared with other consumers and facilities that need it. This process enables efficient data distribution. As a result, users can reduce food waste and contribute to their local community.

[0090] (Application Example 1)

[0091] 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."

[0092] In modern society, the issues of user health management and food waste are serious, and there is a need for methods that effectively reduce food loss while providing nutritious meals. However, since methods for automatically generating meal plans tailored to individual nutritional standards, and efficient methods for managing and sharing ingredients have not yet been established, it is desirable to solve these problems.

[0093] 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.

[0094] In this invention, the server includes a computing device that automatically generates meal plans based on the user's nutritional standards, a computing device that identifies food information and manages the shelf life using image processing technology, and a computing device that effectively shares ingredients with other users and facilities. This allows users to enjoy healthy meals while minimizing food waste and efficiently sharing food with other users and facilities.

[0095] A "calculation device that automatically generates meal plans based on the user's nutritional standards" is a device that collects individual users' health information and nutritional goals as input data and uses an algorithm to create an appropriate meal plan based on that data.

[0096] A "computational device that identifies food information and manages storage periods using image processing technology" is a device that uses image recognition technology to determine the type of food and its expiration date, and then provides information for managing storage periods based on that.

[0097] A "computational device for effectively sharing ingredients with other users and facilities" is a device that efficiently redistributes ingredients using location information and food matching algorithms to optimize the sharing of ingredients among users and facilities.

[0098] A "generative AI model" is an artificial intelligence algorithm that generates predictions and suggestions based on specific inputs, and in this invention, it is used to derive optimal meal plans and possibilities for food redistribution.

[0099] A "prompt" refers to input data or instructions that a generative AI model uses to generate a specific output; in this case, it indicates the conditions or criteria for generating a meal plan.

[0100] The system that realizes this invention mainly consists of a user terminal, a server, and artificial intelligence technology. The user terminal is a smartphone or tablet and provides an interface for inputting the user's health information and nutritional goals. In addition, the terminal takes pictures of food using its camera and recognizes the type of food and its expiration date using image processing technology. To this end, the terminal utilizes an image recognition library such as TENSORFLOW® and transmits the data to the cloud server.

[0101] The server generates a meal plan tailored to the user's individual nutritional standards based on the received data. Here, an AI model is used to suggest meal plans. Specifically, based on the health parameters entered by the user, the AI ​​model operates via the OpenAI® API, generating a meal plan according to the prompts. The server also manages the expiration dates of ingredients and recommends using ingredients nearing their expiration date.

[0102] Furthermore, the server provides a food sharing function. Based on distance information between users or to facilities, it optimizes the sharing and redistribution of food using the Google® Maps Platform API. This function allows users to share food that is nearing its expiration date with others, preventing waste.

[0103] As a concrete example, consider a user who has set a weight loss goal and wants to use up leftover chicken and carrots. This system prompts the user with "low calorie, use chicken and carrots," and the generating AI suggests a recipe accordingly. Furthermore, it can suggest sharing the leftover ingredients to nearby facilities or other users.

[0104] An example of a prompt might be, "Generate a low-calorie recipe using chicken and carrots for a user on a diet." This allows users to achieve an efficient diet that meets their individual needs while minimizing food waste.

[0105] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0106] Step 1:

[0107] Users input health information and nutritional goals using a terminal. This input data includes the user's weight, height, allergy information, and target nutritional standards. This information is collected through the user interface and transmitted to the server.

[0108] Step 2:

[0109] The device uses its built-in camera to photograph food items in the home and analyzes them using image processing technology. Algorithms such as TensorFlow are used to identify the type of food item and its expiration date. The output of this process is the detected food item information (name, expiration date, etc.), which is then sent to the server.

[0110] Step 3:

[0111] Based on the received health and food information, the server uses a generative AI model to generate an optimal meal plan for the user. Using the input nutritional goals and currently available ingredients as prompts, the AI ​​model performs calculations and outputs specific menu suggestions. This output is then provided to the user.

[0112] Step 4:

[0113] The server creates a list of food items nearing their expiration date and sends a notification to the user. The input is expiration date data, and the output is a push notification. The server then identifies shareable food items and determines whether they can be shared.

[0114] Step 5:

[0115] Users choose to use ingredients or share them with other users or facilities based on notifications from the server. The server uses Google Maps Platform to search for nearby users and facilities and uses location information and ingredient data to make the best match. The output of this process is a list of matched users or facilities.

[0116] Step 6:

[0117] The server evaluates user activity based on their activity history and provides rewards (such as points or discounts) as needed. The input is user usage data, and the output is a notification of reward information. This step encourages user participation.

[0118] Through the above processing steps, users can efficiently enjoy healthy meals while reducing food waste.

[0119] 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.

[0120] This invention is a system that automatically generates optimal menus based on the user's health information and nutritional goals, and also takes the user's emotional state into consideration. This allows for more personalized and effective suggestions to the user, supporting food choices, food waste reduction, and health management.

[0121] First, based on the health information and nutritional goals entered by the user into the application, the server generates a personalized nutrition plan using the AI ​​nutritionist function. Simultaneously, the emotion engine analyzes the user's emotional data in real time. The user's emotional information is acquired through cameras and biosensors, and the emotional state is evaluated based on the user's facial expressions and physiological signals.

[0122] Next, the server uses the emotional data analyzed by the emotion engine to adjust the suggested menus and ingredient usage. For example, if the user is feeling stressed, it may suggest dishes containing ingredients that have a relaxing effect. Depending on the emotional state, it may also consider adjusting portion sizes to match the user's appetite or adding a mood-enhancing dessert.

[0123] Using image recognition technology, users' devices scan food items in their refrigerators and pantries and send the information to a server. This information, along with expiration dates, is managed to prevent food waste. Furthermore, food items nearing their expiration date are matched with those of other users or facilities for effective use.

[0124] In a real-world use case, when a user returns home tired from work, the emotion engine detects stress and fatigue. As a result, the server adjusts the recommended dinner menu, suggesting simple and emotionally supportive options. For example, it might suggest a relaxing soup with herbs or a refreshing fruit salad.

[0125] Thus, this system provides comprehensive services that go beyond mere nutritional management, thereby supporting users' health and mental well-being. At the same time, it is a mechanism that supports sustainable eating habits by preventing food waste and responding quickly to other needs.

[0126] The following describes the processing flow.

[0127] Step 1:

[0128] Users log in to the application and enter their health information and nutritional goals. This includes weight, height, allergy information, and target calorie intake.

[0129] Step 2:

[0130] To collect user emotional information, the device uses its camera and biosensors to analyze the user's facial expressions and physiological signals in real time, generating emotional data.

[0131] Step 3:

[0132] The server receives the user's health information and emotional data, and uses an AI algorithm to generate an optimal menu. Based on the emotional data, the menu reflects ingredients and dishes that are appropriate for the user's current emotional state.

[0133] Step 4:

[0134] Users take photos of food items in their homes with their smartphone camera and upload them to the system via a terminal. The terminal uses image recognition technology to identify the name, quantity, and expiration date of the food items.

[0135] Step 5:

[0136] The server manages the expiration dates of ingredients and sends notifications to users when the expiration date approaches. This information is used to adjust menus based on sentiment data.

[0137] Step 6:

[0138] The server generates new recipes using ingredients nearing their expiration date and runs a matching algorithm to offer them to other users and establishments. Sentimental data is also taken into consideration and presented to the user along with relevant photos of the dishes.

[0139] Step 7:

[0140] Based on how often users use the system and changes in their emotional state, the server calculates and appropriately grants incentives. These include coupons for purchasing healthy ingredients and services to customize meal plans.

[0141] (Example 2)

[0142] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0143] In modern society, the importance of individual health and nutrition management is increasing, but there is a lack of means to provide personalized meal suggestions that also take emotional states into account. Furthermore, the appropriate consumption of ingredients and the reduction of food waste are crucial issues for a sustainable society. In addition, there is a need for the efficient sharing and utilization of ingredients among different users and facilities.

[0144] 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.

[0145] In this invention, the server includes means for automatically generating an optimal meal plan based on the user's health information and nutritional goals, means for analyzing the user's emotional state and adjusting the meal plan, and means for detecting food characteristics using image recognition technology and managing expiration dates. This enables more personalized nutritional management, the provision of healthy meals that take emotions into consideration, optimal management of ingredients and reduction of food waste, and efficient use of ingredients.

[0146] "User health information" refers to information about an individual's health status and physical characteristics, including height, weight, age, exercise habits, and health checkup results.

[0147] "Nutritional goals" refer to the nutritional balance and dietary objectives that individual users aim to achieve, and are based on individual health goals such as weight loss, muscle building, or supplementation of specific nutrients.

[0148] A "meal plan" is a specific meal plan developed based on the user's health information and nutritional goals, and includes daily meal content and ingredient selection.

[0149] "Emotional state" refers to the user's emotional characteristics, and is analyzed considering the impact of the user's emotions on their food choices and health.

[0150] "Image recognition technology" is a technology in which a computer analyzes digital images to identify and extract specific objects or features, and in this invention, it is used to determine the characteristics of food ingredients.

[0151] "Managing expiration dates" is a management method that involves monitoring the expiration dates of food ingredients and providing notifications at the appropriate time to prevent food waste and ensure the effective use of ingredients.

[0152] "Food matching" is the process of efficiently sharing or providing ingredients with other users or facilities based on collected ingredient information.

[0153] This invention is a system for users to effectively manage their health and plan their meals. The specific implementation method of this system is described below.

[0154] The user first enters their health information into the application. This includes height, weight, age, and exercise habits. By entering this information, the system obtains the basic data to generate a meal plan tailored to the user's nutritional goals.

[0155] The server uses a generative AI model to create an optimal meal plan based on user input. This AI model analyzes the data entered by the user and generates prompts to provide appropriate meal suggestions. For example, a prompt such as, "Health information: 175cm tall, 70kg weight, 32-year-old male who exercises 3 times a week. I've been feeling a little stressed lately. Please suggest a menu that will help me relax," might be used.

[0156] Simultaneously, the device uses its camera and biosensors to analyze the user's emotional state in real time. The device analyzes physiological signals such as the user's facial expressions and heart rate, and provides this information to the server. Based on the provided emotional data, the server adjusts the meal plan and provides the user with the most suitable suggestions. This adjustment includes, for example, suggesting menus containing ingredients with relaxing effects if the user is feeling stressed.

[0157] Furthermore, the terminal uses image recognition technology to scan food items in the refrigerator and pantry and send that information to the server. The server uses this information to manage expiration dates and takes measures to prevent food waste for items nearing their expiration date. It also has a function to match food items with other users and facilities in the area based on the food item information. In this way, the server supports the effective use of food items.

[0158] This system allows users to receive personalized meal suggestions based on their health information and emotional state. It also plays a role in reducing food waste and supporting sustainable living.

[0159] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0160] Step 1:

[0161] Users input their health information and nutritional goals into the application. This input data includes height, weight, age, and exercise habits. The server uses the acquired information to refer to a database and extract appropriate nutritional balance standards. This sets nutritional goals optimized for each user.

[0162] Step 2:

[0163] The server uses a generative AI model to input the user's health information as prompt text. Specifically, it generates text such as, "Health information: Height 175cm, weight 70kg, 32-year-old male who exercises 3 times a week." This prompt text is passed to the AI ​​model to create an individual meal plan. The output is daily meal suggestions based on the user's nutritional goals.

[0164] Step 3:

[0165] The device uses a camera and biosensors to capture the user's emotional state in real time. The device analyzes the user's facial expressions and heart rate and sends the emotional data to the server. The server evaluates the emotional state and adjusts the data to reflect it in the meal plan. For example, if data indicating stress is input, a menu including ingredients with relaxing effects will be output.

[0166] Step 4:

[0167] The server uses image recognition technology to analyze images of food items in the refrigerator or pantry sent from the terminal. It compares the input food information with an existing database to confirm the characteristics and expiration dates of the food items. Based on this information, it notifies the user of available food items and their remaining expiration dates. The output includes the food item management status and consumption priority.

[0168] Step 5:

[0169] The server matches ingredients nearing their expiration date with other users and facilities in the region. Information on available ingredients is entered into the matching system, and suitable recipients are suggested as a result. This ensures the efficient use of ingredients and reduces food waste. The output includes the ingredient matching results and delivery address information.

[0170] Step 6:

[0171] The server notifies the user of a customized meal plan. The user views the suggestions received through the application and gains guidance for preparing daily meals. The output includes customized menu information and guidelines for implementation.

[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] Traditional health management systems only provide menus based on users' health information and nutritional goals, and do not adequately consider users' emotional states, resulting in insufficient personalized meal suggestions. Furthermore, providing appropriate meals while minimizing food waste is another challenge. In addition, there is a need for improved convenience, allowing users to easily select meals even when out and about or when fatigued.

[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 an information processing unit that automatically generates an optimal menu considering the user's health information, nutritional goals, and emotional state; an information processing unit that detects ingredient information using image recognition technology and manages the storage period; an information processing unit that efficiently matches food with other users and facilities and provides meals in cooperation with delivery services; and an information processing unit that acquires and analyzes the user's emotional data using a smartphone device. This makes it possible to provide users with personalized meal suggestions tailored to their emotional state, thereby reducing food waste and improving convenience.

[0177] "User health information" refers to data related to the individual health status of each user, including information such as weight, height, allergies, and medical history.

[0178] "Nutritional targets" refer to the nutritional balance and specific nutrient intake targets that users should aim for, and are specific values ​​set for maintaining or improving health.

[0179] "Emotional state" refers to information that indicates the user's psychological or emotional condition, and is an indicator used to express a variety of emotions, including stress, happiness, and fatigue.

[0180] "Image recognition technology" is a technique that uses cameras and sensors to analyze images and identify the type and condition of food ingredients, and it is a method that utilizes computer vision technology.

[0181] "Shelf life" refers to information indicating the period during which food can be properly stored and consumed, and means best-before date or expiration date.

[0182] A "delivery service" is a service that transports the meals selected by the user to a specified location, supporting the entire process from ordering to receiving the meal.

[0183] A "smartphone" is a portable electronic device that can not only make and receive calls and messages, but also install a variety of applications, and has a built-in camera and sensors.

[0184] An "information processing organization that acquires and analyzes emotional data" refers to a device or system that collects emotional data obtained from users and analyzes it to evaluate their emotional state.

[0185] This invention is a system that provides meal suggestions considering the user's health information, nutritional goals, and emotional state. The server stores the health information and nutritional goals registered by the user in a database and generates an optimal menu using an AI model. This provides a meal plan tailored to the user's health condition.

[0186] The device monitors the user's emotional state in real time via a smartphone. For this purpose, a camera and biosensors are used to collect the user's facial expressions and physiological data. This data is then analyzed using image recognition technology to evaluate the user's emotional state.

[0187] Furthermore, the server combines the user's emotional assessment with expiration date information to individually tailor meal suggestions. For example, if a user is feeling stressed, a menu containing ingredients with relaxing properties will be recommended. Expiration dates are automatically managed using image recognition technology, and suggestions prioritizing the use of ingredients with shorter shelf lives are also provided.

[0188] For example, when a user returns home tired, the system can suggest a meal with a relaxing effect, such as chamomile tea or a soup made with herbs. In this case, the system would generate the following prompt:

[0189] "Based on your health and emotional state today, the AI ​​suggests the following meal: How about a salad with chamomile tea to enhance relaxation, and chicken and herb soup?"

[0190] This prompt message is an initiative that encourages users to make appropriate food choices while also contributing to the reduction of food waste.

[0191] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0192] Step 1:

[0193] The user launches a smartphone app and enters their health information and nutritional goals. This information includes data about the user's health status (e.g., weight, height, allergy information) and individual nutritional goals (e.g., calorie and nutrient intake targets). After entering the information, the device sends it to the server.

[0194] Step 2:

[0195] The server stores the received health information and nutritional goals in a database. Based on the stored information, a generative AI model is used to automatically generate menu options optimized for the user. This generation process involves data calculations that take health information and nutritional goals into consideration, determining the most suitable ingredients and menus for each individual user.

[0196] Step 3:

[0197] The system uses a biosensor connected to the user's device camera to acquire real-time emotional data from the user. This includes physiological data such as facial expressions and heart rate. The device analyzes the captured images and physiological measurements to determine specific emotional states (e.g., stress, happiness).

[0198] Step 4:

[0199] The emotional data from the analysis is sent from the terminal to the server. The server uses this emotional data to adjust the already generated menu options. Specifically, ingredients and quantities are selected and adjusted according to the emotional state, and dishes that reduce stress and have a refreshing effect are selected.

[0200] Step 5:

[0201] The server uses image recognition technology to detect information about the food items in the refrigerator. It identifies the type of food and its expiration date, and suggests prioritizing the use of items with shorter shelf lives. Through data processing, a meal plan is provided that contributes to reducing food waste.

[0202] Step 6:

[0203] The server generates a finalized menu suggestion as a prompt message on the user's terminal. This prompt message includes specific menu suggestions for the user (e.g., "We suggest chamomile tea and herbal soup"), supporting meal choices that match the user's emotional state.

[0204] Step 7:

[0205] The user reviews the received prompt and selects a meal from the recommended menu. Based on the selected menu, the terminal can then coordinate with a delivery service to place the necessary food order.

[0206] 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.

[0207] 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.

[0208] 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.

[0209] [Second Embodiment]

[0210] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0211] 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.

[0212] 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).

[0213] 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.

[0214] 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.

[0215] 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).

[0216] 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.

[0217] 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.

[0218] 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.

[0219] 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.

[0220] 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.

[0221] 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".

[0222] This invention is a system designed to automatically generate optimal menus based on a user's health information and nutritional goals, while simultaneously reducing food waste. The system begins with a process of inputting the user's health data, manages the expiration dates of ingredients, and provides a mechanism to efficiently match food with other users or facilities as needed.

[0223] First, users input their health information through the application. This includes weight, height, allergy information, and nutritional goals. Based on this information, the system can propose a personalized nutrition plan tailored to each user's characteristics.

[0224] Next, let's discuss the food management function. Users take photos of food items in their home using their smartphone camera and upload them to the system. The device uses image recognition technology to identify the food items and their expiration dates. This information is sent to the server, and the system is configured to notify users of items that are nearing their expiration date.

[0225] This gives users the opportunity to use up food items nearing their expiration date without wasting them. Furthermore, by bringing food items close to their expiration date to a convenience store, the server adds this information to its database, creating a system for providing it to other consumers and facilities that need it.

[0226] As a concrete example, consider a user who wants to prevent obesity using this system. The user sets a nutritional goal of weight loss, and an AI nutritionist proposes a weekly menu that takes into account calories and nutrient balance. Daily meals are provided, and at the same time, expiration dates are managed to ensure that ingredients in the refrigerator are used efficiently. In addition, surplus ingredients are reused at nearby facilities or provided to individuals in need.

[0227] This system achieves efficient food waste reduction while promoting health management tailored to individual needs. In this way, it minimizes food waste while providing users with the opportunity to enjoy nutritionally balanced meals.

[0228] The following describes the processing flow.

[0229] Step 1:

[0230] The user launches the application and creates a new account. The user enters their name, email address, and password to create the account. After this, they enter health information such as height, weight, allergy information, food preferences, and nutritional goals.

[0231] Step 2:

[0232] The server receives the user's health information and nutritional goals and stores them in a database. Based on this, the AI ​​nutritionist module prepares to generate appropriate meal plans.

[0233] Step 3:

[0234] The server uses an AI algorithm to automatically generate an optimal weekly meal plan based on the user's health information. This plan takes into account the calorie and nutrient balance of each meal. The generated meal plan information is then sent to the user's device.

[0235] Step 4:

[0236] Users take photos of ingredients in their homes with their smartphone camera and upload them through the application. Users can also manually enter additional information to confirm the name and expiration date of each ingredient.

[0237] Step 5:

[0238] The device analyzes the captured image using image recognition technology to identify the name, quantity, and expiration date of the food item. This information is sent to a server and stored in a database.

[0239] Step 6:

[0240] The server manages the expiration dates of ingredients in a database and automatically sends notifications to users when the expiration date approaches. This allows users to prioritize the use of those ingredients.

[0241] Step 7:

[0242] Users bring in groceries that are nearing their expiration date and check in at a convenience store using a terminal. The terminal scans the information of the groceries and sends it to a server.

[0243] Step 8:

[0244] The server automatically generates new menus and recipes using an AI algorithm based on ingredients registered at convenience stores. This information, along with photos of the dishes, is provided to the user's device.

[0245] Step 9:

[0246] The server searches for other users and facilities that need ingredients that are nearing their expiration date and matches them as needed. Notifications are sent to arrange for bringing in or receiving the ingredients.

[0247] Step 10:

[0248] The server analyzes user usage data and provides feedback on health management. Furthermore, it calculates incentives based on usage and grants them to the user's account.

[0249] (Example 1)

[0250] 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."

[0251] There is a problem of food waste (food loss) occurring in households due to inadequate food management and insufficient consideration of nutritional balance. Furthermore, there is a challenge in providing appropriate meal plans based on individual health information. An effective system is needed to efficiently manage food ingredients and provide meal plans that align with nutritional goals.

[0252] 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.

[0253] This invention includes a server that uses generative AI to input user health data and generate a personalized nutrition plan based on nutritional goals; means of utilizing image processing to recognize the characteristics and shelf life of ingredients from images of ingredients that have been photographed; and means of optimizing distribution to redistribute food nearing its expiration date to other consumers or facilities. This allows users to obtain menus optimized for their individual health while simultaneously reducing food waste.

[0254] "Health data" refers to information about an individual's health status and goals, such as the user's weight, height, allergy information, and nutritional goals.

[0255] A "nutrition plan" refers to an optimal nutritional intake plan generated based on the user's health data.

[0256] "Generative AI" refers to artificial intelligence technology that analyzes data based on user input and generates information that is suitable for a specific purpose.

[0257] "Image processing" refers to the technology of extracting and analyzing useful information from captured image data.

[0258] "Shelf life" refers to the period during which food can be safely consumed without spoiling.

[0259] "Distribution" refers to the logistics process of efficiently moving food from suppliers to consumers or facilities.

[0260] "Nutritional balance" is a concept that means consuming the nutrients necessary for maintaining good health in the appropriate proportions.

[0261] "Food waste" refers to food that is discarded without being consumed, and is also known as food loss.

[0262] This invention provides a system that automatically generates an optimal nutrition plan based on the user's health data, manages food storage, and reduces food waste. This system is implemented using a smartphone, a server, a generative AI model, and image processing technology.

[0263] Users enter health information using a smartphone application. This includes weight, height, allergy information, and nutritional goals. The information entered by the user is sent to a server via the internet. The server passes this health data to a generating AI model, which generates an optimal nutrition plan for the user. This generating AI model proposes a plan that takes into account nutritional balance and calorie restrictions.

[0264] For example, if a user sets weight loss as their goal, the AI ​​will provide a meal plan that takes into account the calories and necessary nutrients for one week. An example of a prompt would be, "Please suggest a meal plan aimed at weight loss."

[0265] Furthermore, users use their smartphone cameras to photograph food items in their homes and upload this data to the application. The device uses image processing technology to identify the names and expiration dates of the food items and sends this information to a server. The server manages the expiration date information and provides a system to notify users of food items that are nearing their expiration date.

[0266] This system not only allows users to enjoy nutritionally balanced meals but also minimizes food waste in the home. By bringing food items nearing their expiration date to convenience stores or other locations, the server initiates procedures for redistributing the food to other consumers or facilities. In this way, by combining efficient food management with health support, it can make food culture more sustainable.

[0267] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0268] Step 1:

[0269] Users enter health data through a smartphone app. This data includes weight, height, allergy information, and nutritional goals. After this information is entered into the application, it is transmitted to a server via the internet. The entered data is stored in a database for use within the system.

[0270] Step 2:

[0271] The server sends the received health data to a generating AI model. The AI ​​model generates a personalized nutrition plan based on the user's health information and nutritional goals. This generating AI model performs calculations to optimize nutritional balance based on the input data and outputs the optimal meal plan for the user. For example, if a weight loss goal is set, a meal plan that is low in calories and contains the necessary nutrients will be generated.

[0272] Step 3:

[0273] Users take photos of food items in their homes with their smartphone camera and upload them to the application. The device uses image recognition technology to identify the type of food item and its expiration date. It extracts the characteristics of the food items from the input images and sends the identification results to the server. This allows the food item information to be reflected in the system.

[0274] Step 4:

[0275] The server manages expiration dates based on the acquired food data. It sends notifications to users for food items nearing their expiration date. This process retrieves expiration information from the database and sends alerts to users via push notifications. The information conveyed to users might be something like, "There are some food items that should be used within 3 days."

[0276] Step 5:

[0277] The server organizes information on food nearing its expiration date for redistribution to other users and facilities. When food is brought in, the information is added to the database and shared with other consumers and facilities that need it. This process enables efficient data distribution. As a result, users can reduce food waste and contribute to their local community.

[0278] (Application Example 1)

[0279] 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."

[0280] In modern society, the issues of user health management and food waste are serious, and there is a need for methods that effectively reduce food loss while providing nutritious meals. However, since methods for automatically generating meal plans tailored to individual nutritional standards, and efficient methods for managing and sharing ingredients have not yet been established, it is desirable to solve these problems.

[0281] 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.

[0282] In this invention, the server includes a computing device that automatically generates meal plans based on the user's nutritional standards, a computing device that identifies food information and manages the shelf life using image processing technology, and a computing device that effectively shares ingredients with other users and facilities. This allows users to enjoy healthy meals while minimizing food waste and efficiently sharing food with other users and facilities.

[0283] A "calculation device that automatically generates meal plans based on the user's nutritional standards" is a device that collects individual users' health information and nutritional goals as input data and uses an algorithm to create an appropriate meal plan based on that data.

[0284] The "computing device for identifying food product information using image processing technology and managing the shelf life" is a device that uses image recognition technology to determine the type of food and its expiration date, and provides information for managing the shelf life based on this.

[0285] The "computing device for effectively sharing food ingredients with other users or facilities" is a device that efficiently redistributes food ingredients using location information and food matching algorithms in order to optimize the sharing of food ingredients among users or between facilities.

[0286] The "generative AI model" is an artificial intelligence algorithm that generates predictions or proposals based on specific inputs, and in this invention, it is utilized to derive an optimal meal plan and the possibility of food redistribution.

[0287] The "prompt" means the input data or instructions for the generative AI model to generate a specific output, and here it indicates the conditions or criteria for generating a meal plan.

[0288] The system for realizing this invention is mainly composed of a user's terminal, a server, and artificial intelligence technology. The user's terminal is a smartphone or a tablet, which provides an interface for inputting the user's health information and nutritional goals. In addition, the terminal uses a camera to take pictures of food ingredients, and uses image processing technology to recognize the type and expiration date of the food ingredients. For this purpose, the terminal utilizes an image recognition library such as TensorFlow and transmits the data to a cloud server.

[0289] The server generates a meal plan that meets the user's individual nutritional standards based on the received data. Here, a generative AI model is used to propose a meal plan. Specifically, based on the health parameters input by the user, the AI model operates via the API of OpenAI to generate a meal plan according to the prompt. The server also manages the expiration dates of food ingredients and recommends the use of ingredients whose expiration dates are approaching.

[0290] Furthermore, the server provides a food sharing function. Based on distance information between users or between facilities, it optimizes the sharing and redistribution of food using the Google Maps Platform API. This function allows users to share food that is nearing its expiration date with others, preventing waste.

[0291] As a concrete example, consider a user who has set a weight loss goal and wants to use up leftover chicken and carrots. This system prompts the user with "low calorie, use chicken and carrots," and the generating AI suggests a recipe accordingly. Furthermore, it can suggest sharing the leftover ingredients to nearby facilities or other users.

[0292] An example of a prompt might be, "Generate a low-calorie recipe using chicken and carrots for a user on a diet." This allows users to achieve an efficient diet that meets their individual needs while minimizing food waste.

[0293] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0294] Step 1:

[0295] Users input health information and nutritional goals using a terminal. This input data includes the user's weight, height, allergy information, and target nutritional standards. This information is collected through the user interface and transmitted to the server.

[0296] Step 2:

[0297] The device uses its built-in camera to photograph food items in the home and analyzes them using image processing technology. Algorithms such as TensorFlow are used to identify the type of food item and its expiration date. The output of this process is the detected food item information (name, expiration date, etc.), which is then sent to the server.

[0298] Step 3:

[0299] Based on the received health and food information, the server uses a generative AI model to generate an optimal meal plan for the user. Using the input nutritional goals and currently available ingredients as prompts, the AI ​​model performs calculations and outputs specific menu suggestions. This output is then provided to the user.

[0300] Step 4:

[0301] The server creates a list of food items nearing their expiration date and sends a notification to the user. The input is expiration date data, and the output is a push notification. The server then identifies shareable food items and determines whether they can be shared.

[0302] Step 5:

[0303] Users choose to use ingredients or share them with other users or facilities based on notifications from the server. The server uses Google Maps Platform to search for nearby users and facilities and uses location information and ingredient data to make the best match. The output of this process is a list of matched users or facilities.

[0304] Step 6:

[0305] The server evaluates user activity based on their activity history and provides rewards (such as points or discounts) as needed. The input is user usage data, and the output is a notification of reward information. This step encourages user participation.

[0306] Through the above processing steps, users can efficiently enjoy healthy meals while reducing food waste.

[0307] 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.

[0308] The present invention is a system that automatically generates an optimal menu based on the user's health information and nutritional goals, and further takes into account the user's emotional state. This enables more personalized and effective suggestions for the user, supporting food choices, food waste reduction, and health management.

[0309] First, based on the health information and nutritional goals input by the user into the application, the server generates an individual nutrition plan through the AI dietitian function. At the same time, the emotion engine analyzes the user's emotion data in real time. The user's emotion information is obtained through cameras and biosensors, and the emotional state is evaluated based on the user's facial expressions and physiological signals.

[0310] Next, the server uses the emotion data analyzed by the emotion engine to adjust the proposed menu and ingredient utilization plan. For example, when the user is feeling stressed, the server may propose a dish that includes ingredients with a relaxing effect. Also, depending on the emotional state, adjustments to the portion size according to appetite and the addition of desserts to boost mood are also considered.

[0311] Utilizing image recognition technology, the user's terminal scans the ingredients in the refrigerator and pantry and transmits the information to the server. This information is managed together with the expiration date, and measures are taken to prevent the occurrence of food waste. Furthermore, ingredients with an approaching expiration date are matched with other users or facilities and effectively utilized.

[0312] As a practical use case, when the user returns home tired from work, the emotion engine detects stress and fatigue. As a result, the server adjusts the recommended dinner menu and proposes a menu that is simple and supports the emotion. For example, a soup with a relaxing effect using herbs or a fruit salad that helps with refreshment may be proposed.

[0313] Thus, this system provides comprehensive services that go beyond mere nutritional management, thereby supporting users' health and mental well-being. At the same time, it is a mechanism that supports sustainable eating habits by preventing food waste and responding quickly to other needs.

[0314] The following describes the processing flow.

[0315] Step 1:

[0316] Users log in to the application and enter their health information and nutritional goals. This includes weight, height, allergy information, and target calorie intake.

[0317] Step 2:

[0318] To collect user emotional information, the device uses its camera and biosensors to analyze the user's facial expressions and physiological signals in real time, generating emotional data.

[0319] Step 3:

[0320] The server receives the user's health information and emotional data, and uses an AI algorithm to generate an optimal menu. Based on the emotional data, the menu reflects ingredients and dishes that are appropriate for the user's current emotional state.

[0321] Step 4:

[0322] Users take photos of food items in their homes with their smartphone camera and upload them to the system via a terminal. The terminal uses image recognition technology to identify the name, quantity, and expiration date of the food items.

[0323] Step 5:

[0324] The server manages the expiration dates of ingredients and sends notifications to users when the expiration date approaches. This information is used to adjust menus based on sentiment data.

[0325] Step 6:

[0326] The server generates new recipes using ingredients nearing their expiration date and runs a matching algorithm to offer them to other users and establishments. Sentimental data is also taken into consideration and presented to the user along with relevant photos of the dishes.

[0327] Step 7:

[0328] Based on how often users use the system and changes in their emotional state, the server calculates and appropriately grants incentives. These include coupons for purchasing healthy ingredients and services to customize meal plans.

[0329] (Example 2)

[0330] 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".

[0331] In modern society, the importance of individual health and nutrition management is increasing, but there is a lack of means to provide personalized meal suggestions that also take emotional states into account. Furthermore, the appropriate consumption of ingredients and the reduction of food waste are crucial issues for a sustainable society. In addition, there is a need for the efficient sharing and utilization of ingredients among different users and facilities.

[0332] 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.

[0333] In this invention, the server includes means for automatically generating an optimal meal plan based on the user's health information and nutritional goals, means for analyzing the user's emotional state and adjusting the meal plan, and means for detecting food characteristics using image recognition technology and managing expiration dates. This enables more personalized nutritional management, the provision of healthy meals that take emotions into consideration, optimal management of ingredients and reduction of food waste, and efficient use of ingredients.

[0334] "User health information" refers to information about an individual's health status and physical characteristics, including height, weight, age, exercise habits, and health checkup results.

[0335] "Nutritional goals" refer to the nutritional balance and dietary objectives that individual users aim to achieve, and are based on individual health goals such as weight loss, muscle building, or supplementation of specific nutrients.

[0336] A "meal plan" is a specific meal plan developed based on the user's health information and nutritional goals, and includes daily meal content and ingredient selection.

[0337] "Emotional state" refers to the user's emotional characteristics, and is analyzed considering the impact of the user's emotions on their food choices and health.

[0338] "Image recognition technology" is a technology in which a computer analyzes digital images to identify and extract specific objects or features, and in this invention, it is used to determine the characteristics of food ingredients.

[0339] "Managing expiration dates" is a management method that involves monitoring the expiration dates of food ingredients and providing notifications at the appropriate time to prevent food waste and ensure the effective use of ingredients.

[0340] "Food matching" is the process of efficiently sharing or providing ingredients with other users or facilities based on collected ingredient information.

[0341] This invention is a system for users to effectively manage their health and plan their meals. The specific implementation method of this system is described below.

[0342] The user first enters their health information into the application. This includes height, weight, age, and exercise habits. By entering this information, the system obtains the basic data to generate a meal plan tailored to the user's nutritional goals.

[0343] The server uses a generative AI model to create an optimal meal plan based on user input. This AI model analyzes the data entered by the user and generates prompts to provide appropriate meal suggestions. For example, a prompt such as, "Health information: 175cm tall, 70kg weight, 32-year-old male who exercises 3 times a week. I've been feeling a little stressed lately. Please suggest a menu that will help me relax," might be used.

[0344] Simultaneously, the device uses its camera and biosensors to analyze the user's emotional state in real time. The device analyzes physiological signals such as the user's facial expressions and heart rate, and provides this information to the server. Based on the provided emotional data, the server adjusts the meal plan and provides the user with the most suitable suggestions. This adjustment includes, for example, suggesting menus containing ingredients with relaxing effects if the user is feeling stressed.

[0345] Furthermore, the terminal uses image recognition technology to scan food items in the refrigerator and pantry and send that information to the server. The server uses this information to manage expiration dates and takes measures to prevent food waste for items nearing their expiration date. It also has a function to match food items with other users and facilities in the area based on the food item information. In this way, the server supports the effective use of food items.

[0346] This system allows users to receive personalized meal suggestions based on their health information and emotional state. It also plays a role in reducing food waste and supporting sustainable living.

[0347] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0348] Step 1:

[0349] Users input their health information and nutritional goals into the application. This input data includes height, weight, age, and exercise habits. The server uses the acquired information to refer to a database and extract appropriate nutritional balance standards. This sets nutritional goals optimized for each user.

[0350] Step 2:

[0351] The server uses a generative AI model to input the user's health information as prompt text. Specifically, it generates text such as, "Health information: Height 175cm, weight 70kg, 32-year-old male who exercises 3 times a week." This prompt text is passed to the AI ​​model to create an individual meal plan. The output is daily meal suggestions based on the user's nutritional goals.

[0352] Step 3:

[0353] The device uses a camera and biosensors to capture the user's emotional state in real time. The device analyzes the user's facial expressions and heart rate and sends the emotional data to the server. The server evaluates the emotional state and adjusts the data to reflect it in the meal plan. For example, if data indicating stress is input, a menu including ingredients with relaxing effects will be output.

[0354] Step 4:

[0355] The server uses image recognition technology to analyze images of food items in the refrigerator or pantry sent from the terminal. It compares the input food information with an existing database to confirm the characteristics and expiration dates of the food items. Based on this information, it notifies the user of available food items and their remaining expiration dates. The output includes the food item management status and consumption priority.

[0356] Step 5:

[0357] The server matches ingredients nearing their expiration date with other users and facilities in the region. Information on available ingredients is entered into the matching system, and suitable recipients are suggested as a result. This ensures the efficient use of ingredients and reduces food waste. The output includes the ingredient matching results and delivery address information.

[0358] Step 6:

[0359] The server notifies the user of a customized meal plan. The user views the suggestions received through the application and gains guidance for preparing daily meals. The output includes customized menu information and guidelines for implementation.

[0360] (Application Example 2)

[0361] 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."

[0362] Traditional health management systems only provide menus based on users' health information and nutritional goals, and do not adequately consider users' emotional states, resulting in insufficient personalized meal suggestions. Furthermore, providing appropriate meals while minimizing food waste is another challenge. In addition, there is a need for improved convenience, allowing users to easily select meals even when out and about or when fatigued.

[0363] 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.

[0364] In this invention, the server includes an information processing unit that automatically generates an optimal menu considering the user's health information, nutritional goals, and emotional state; an information processing unit that detects ingredient information using image recognition technology and manages the storage period; an information processing unit that efficiently matches food with other users and facilities and provides meals in cooperation with delivery services; and an information processing unit that acquires and analyzes the user's emotional data using a smartphone device. This makes it possible to provide users with personalized meal suggestions tailored to their emotional state, thereby reducing food waste and improving convenience.

[0365] "User health information" refers to data related to the individual health status of each user, including information such as weight, height, allergies, and medical history.

[0366] "Nutritional targets" refer to the nutritional balance and specific nutrient intake targets that users should aim for, and are specific values ​​set for maintaining or improving health.

[0367] "Emotional state" refers to information that indicates the user's psychological or emotional condition, and is an indicator used to express a variety of emotions, including stress, happiness, and fatigue.

[0368] "Image recognition technology" is a technique that uses cameras and sensors to analyze images and identify the type and condition of food ingredients, and it is a method that utilizes computer vision technology.

[0369] "Shelf life" refers to information indicating the period during which food can be properly stored and consumed, and means best-before date or expiration date.

[0370] A "delivery service" is a service that transports the meals selected by the user to a specified location, supporting the entire process from ordering to receiving the meal.

[0371] A "smartphone" is a portable electronic device that can not only make and receive calls and messages, but also install a variety of applications, and has a built-in camera and sensors.

[0372] An "information processing organization that acquires and analyzes emotional data" refers to a device or system that collects emotional data obtained from users and analyzes it to evaluate their emotional state.

[0373] This invention is a system that provides meal suggestions considering the user's health information, nutritional goals, and emotional state. The server stores the user's registered health information and nutritional goals in a database and generates an optimal menu using an AI model. This provides a meal plan tailored to the user's health condition.

[0374] The device monitors the user's emotional state in real time via a smartphone. For this purpose, a camera and biosensors are used to collect the user's facial expressions and physiological data. This data is then analyzed using image recognition technology to evaluate the user's emotional state.

[0375] Furthermore, the server combines the user's emotional assessment with expiration date information to individually tailor meal suggestions. For example, if a user is feeling stressed, a menu containing ingredients with relaxing properties will be recommended. Expiration dates are automatically managed using image recognition technology, and suggestions prioritizing the use of ingredients with shorter shelf lives are also provided.

[0376] For example, when a user returns home tired, the system can suggest a meal with a relaxing effect, such as chamomile tea or a soup made with herbs. In this case, the system would generate the following prompt:

[0377] "Based on your health and emotional state today, the AI ​​suggests the following meal: How about a salad with chamomile tea to enhance relaxation, and chicken and herb soup?"

[0378] This prompt message is an initiative that encourages users to make appropriate food choices while also contributing to the reduction of food waste.

[0379] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0380] Step 1:

[0381] The user launches a smartphone app and enters their health information and nutritional goals. This information includes data about the user's health status (e.g., weight, height, allergy information) and individual nutritional goals (e.g., calorie and nutrient intake targets). After entering the information, the device sends it to the server.

[0382] Step 2:

[0383] The server stores the received health information and nutritional goals in a database. Based on the stored information, a generative AI model is used to automatically generate menu options optimized for the user. This generation process involves data calculations that take health information and nutritional goals into consideration, determining the most suitable ingredients and menus for each individual user.

[0384] Step 3:

[0385] The system uses a biosensor connected to the user's device camera to acquire real-time emotional data from the user. This includes physiological data such as facial expressions and heart rate. The device analyzes the captured images and physiological measurements to determine specific emotional states (e.g., stress, happiness).

[0386] Step 4:

[0387] The emotional data from the analysis is sent from the terminal to the server. The server uses this emotional data to adjust the already generated menu options. Specifically, ingredients and quantities are selected and adjusted according to the emotional state, and dishes that reduce stress and have a refreshing effect are selected.

[0388] Step 5:

[0389] The server uses image recognition technology to detect information about the food items in the refrigerator. It identifies the type of food and its expiration date, and suggests prioritizing the use of items with shorter shelf lives. Through data processing, a meal plan is provided that contributes to reducing food waste.

[0390] Step 6:

[0391] The server generates a finalized menu suggestion as a prompt message on the user's terminal. This prompt message includes specific menu suggestions for the user (e.g., "We suggest chamomile tea and herbal soup"), supporting meal choices that match the user's emotional state.

[0392] Step 7:

[0393] The user reviews the received prompt and selects a meal from the recommended menu. Based on the selected menu, the terminal can then coordinate with a delivery service to place the necessary food order.

[0394] 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.

[0395] 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.

[0396] 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.

[0397] [Third Embodiment]

[0398] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0399] 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.

[0400] 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).

[0401] 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.

[0402] 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.

[0403] 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).

[0404] 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.

[0405] 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.

[0406] 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.

[0407] 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.

[0408] 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.

[0409] 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".

[0410] This invention is a system designed to automatically generate optimal menus based on a user's health information and nutritional goals, while simultaneously reducing food waste. The system begins with a process of inputting the user's health data, manages the expiration dates of ingredients, and provides a mechanism to efficiently match food with other users or facilities as needed.

[0411] First, users input their health information through the application. This includes weight, height, allergy information, and nutritional goals. Based on this information, the system can propose a personalized nutrition plan tailored to each user's characteristics.

[0412] Next, let's discuss the food management function. Users take photos of food items in their home using their smartphone camera and upload them to the system. The device uses image recognition technology to identify the food items and their expiration dates. This information is sent to the server, and the system is configured to notify users of items that are nearing their expiration date.

[0413] This gives users the opportunity to use up food items nearing their expiration date without wasting them. Furthermore, by bringing food items close to their expiration date to a convenience store, the server adds this information to its database, creating a system for providing it to other consumers and facilities that need it.

[0414] As a concrete example, consider a user who wants to prevent obesity using this system. The user sets a nutritional goal of weight loss, and an AI nutritionist proposes a weekly menu that takes into account calories and nutrient balance. Daily meals are provided, and at the same time, expiration dates are managed to ensure that ingredients in the refrigerator are used efficiently. In addition, surplus ingredients are reused at nearby facilities or provided to individuals in need.

[0415] This system achieves efficient food waste reduction while promoting health management tailored to individual needs. In this way, it minimizes food waste while providing users with the opportunity to enjoy nutritionally balanced meals.

[0416] The following describes the processing flow.

[0417] Step 1:

[0418] The user launches the application and creates a new account. The user enters their name, email address, and password to create the account. After this, they enter health information such as height, weight, allergy information, food preferences, and nutritional goals.

[0419] Step 2:

[0420] The server receives the user's health information and nutritional goals and stores them in a database. Based on this, the AI ​​nutritionist module prepares to generate appropriate meal plans.

[0421] Step 3:

[0422] The server uses an AI algorithm to automatically generate an optimal weekly meal plan based on the user's health information. This plan takes into account the calorie and nutrient balance of each meal. The generated meal plan information is then sent to the user's device.

[0423] Step 4:

[0424] Users take photos of ingredients in their homes with their smartphone camera and upload them through the application. Users can also manually enter additional information to confirm the name and expiration date of each ingredient.

[0425] Step 5:

[0426] The device analyzes the captured image using image recognition technology to identify the name, quantity, and expiration date of the food item. This information is sent to a server and stored in a database.

[0427] Step 6:

[0428] The server manages the expiration dates of ingredients in a database and automatically sends notifications to users when the expiration date approaches. This allows users to prioritize the use of those ingredients.

[0429] Step 7:

[0430] Users bring in groceries that are nearing their expiration date and check in at a convenience store using a terminal. The terminal scans the information of the groceries and sends it to a server.

[0431] Step 8:

[0432] The server automatically generates new menus and recipes using an AI algorithm based on ingredients registered at convenience stores. This information, along with photos of the dishes, is provided to the user's device.

[0433] Step 9:

[0434] The server searches for other users and facilities that need ingredients that are nearing their expiration date and matches them as needed. Notifications are sent to arrange for bringing in or receiving the ingredients.

[0435] Step 10:

[0436] The server analyzes user usage data and provides feedback on health management. Furthermore, it calculates incentives based on usage and grants them to the user's account.

[0437] (Example 1)

[0438] 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."

[0439] There is a problem of food waste (food loss) occurring in households due to inadequate food management and insufficient consideration of nutritional balance. Furthermore, there is a challenge in providing appropriate meal plans based on individual health information. An effective system is needed to efficiently manage food ingredients and provide meal plans that align with nutritional goals.

[0440] 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.

[0441] This invention includes a server that uses generative AI to input user health data and generate a personalized nutrition plan based on nutritional goals; means of utilizing image processing to recognize the characteristics and shelf life of ingredients from images of ingredients that have been photographed; and means of optimizing distribution to redistribute food nearing its expiration date to other consumers or facilities. This allows users to obtain menus optimized for their individual health while simultaneously reducing food waste.

[0442] "Health data" refers to information about an individual's health status and goals, such as the user's weight, height, allergy information, and nutritional goals.

[0443] A "nutrition plan" refers to an optimal nutritional intake plan generated based on the user's health data.

[0444] "Generative AI" refers to artificial intelligence technology that analyzes data based on user input and generates information that is suitable for a specific purpose.

[0445] "Image processing" refers to the technology of extracting and analyzing useful information from captured image data.

[0446] "Shelf life" refers to the period during which food can be safely consumed without spoiling.

[0447] "Distribution" refers to the logistics process of efficiently moving food from suppliers to consumers or facilities.

[0448] "Nutritional balance" is a concept that means consuming the nutrients necessary for maintaining good health in the appropriate proportions.

[0449] "Food waste" refers to food that is discarded without being consumed, and is also known as food loss.

[0450] This invention provides a system that automatically generates an optimal nutrition plan based on the user's health data, manages food storage, and reduces food waste. This system is implemented using a smartphone, a server, a generative AI model, and image processing technology.

[0451] Users enter health information using a smartphone application. This includes weight, height, allergy information, and nutritional goals. The information entered by the user is sent to a server via the internet. The server passes this health data to a generating AI model, which generates an optimal nutrition plan for the user. This generating AI model proposes a plan that takes into account nutritional balance and calorie restrictions.

[0452] For example, if a user sets weight loss as their goal, the AI ​​will provide a meal plan that takes into account the calories and necessary nutrients for one week. An example of a prompt would be, "Please suggest a meal plan aimed at weight loss."

[0453] Furthermore, users use their smartphone cameras to photograph food items in their homes and upload this data to the application. The device uses image processing technology to identify the names and expiration dates of the food items and sends this information to a server. The server manages the expiration date information and provides a system to notify users of food items that are nearing their expiration date.

[0454] This system not only allows users to enjoy nutritionally balanced meals but also minimizes food waste in the home. By bringing food items nearing their expiration date to convenience stores or other locations, the server initiates procedures for redistributing the food to other consumers or facilities. In this way, by combining efficient food management with health support, it can make food culture more sustainable.

[0455] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0456] Step 1:

[0457] Users enter health data through a smartphone app. This data includes weight, height, allergy information, and nutritional goals. After this information is entered into the application, it is transmitted to a server via the internet. The entered data is stored in a database for use within the system.

[0458] Step 2:

[0459] The server sends the received health data to a generating AI model. The AI ​​model generates a personalized nutrition plan based on the user's health information and nutritional goals. This generating AI model performs calculations to optimize nutritional balance based on the input data and outputs the optimal meal plan for the user. For example, if a weight loss goal is set, a meal plan that is low in calories and contains the necessary nutrients will be generated.

[0460] Step 3:

[0461] Users take photos of food items in their homes with their smartphone camera and upload them to the application. The device uses image recognition technology to identify the type of food item and its expiration date. It extracts the characteristics of the food items from the input images and sends the identification results to the server. This allows the food item information to be reflected in the system.

[0462] Step 4:

[0463] The server manages expiration dates based on the acquired food data. It sends notifications to users for food items nearing their expiration date. This process retrieves expiration information from the database and sends alerts to users via push notifications. The information conveyed to users might be something like, "There are some food items that should be used within 3 days."

[0464] Step 5:

[0465] The server organizes information on food nearing its expiration date for redistribution to other users and facilities. When food is brought in, the information is added to the database and shared with other consumers and facilities that need it. This process enables efficient data distribution. As a result, users can reduce food waste and contribute to their local community.

[0466] (Application Example 1)

[0467] 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."

[0468] In modern society, the issues of user health management and food waste are serious, and there is a need for methods that effectively reduce food loss while providing nutritious meals. However, since methods for automatically generating meal plans tailored to individual nutritional standards, and efficient methods for managing and sharing ingredients have not yet been established, it is desirable to solve these problems.

[0469] 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.

[0470] In this invention, the server includes a computing device that automatically generates meal plans based on the user's nutritional standards, a computing device that identifies food information and manages the shelf life using image processing technology, and a computing device that effectively shares ingredients with other users and facilities. This allows users to enjoy healthy meals while minimizing food waste and efficiently sharing food with other users and facilities.

[0471] A "calculation device that automatically generates meal plans based on the user's nutritional standards" is a device that collects the health information and nutritional goals of individual users as input data and uses an algorithm to create an appropriate meal plan based on that data.

[0472] A "computational device that identifies food information and manages storage periods using image processing technology" is a device that uses image recognition technology to determine the type of food and its expiration date, and then provides information for managing storage periods based on that.

[0473] A "computational device for effectively sharing ingredients with other users and facilities" is a device that efficiently redistributes ingredients using location information and food matching algorithms to optimize the sharing of ingredients among users and facilities.

[0474] A "generative AI model" is an artificial intelligence algorithm that generates predictions and suggestions based on specific inputs, and in this invention, it is used to derive optimal meal plans and possibilities for food redistribution.

[0475] A "prompt" refers to input data or instructions that a generative AI model uses to generate a specific output; in this case, it indicates the conditions or criteria for generating a meal plan.

[0476] The system that realizes this invention mainly consists of a user terminal, a server, and artificial intelligence technology. The user terminal is a smartphone or tablet and provides an interface for inputting the user's health information and nutritional goals. In addition, the terminal uses a camera to take pictures of food items and uses image processing technology to recognize the type of food item and its expiration date. To this end, the terminal utilizes image recognition libraries such as TensorFlow and sends the data to the cloud server.

[0477] The server generates a meal plan tailored to the user's individual nutritional standards based on the received data. Here, a generation AI model is used to suggest meal plans. Specifically, based on the health parameters entered by the user, the AI ​​model operates via the OpenAI API, generating a meal plan according to the prompts. The server also manages the expiration dates of ingredients and recommends using ingredients nearing their expiration date.

[0478] Furthermore, the server provides a food sharing function. Based on distance information between users or between facilities, it optimizes the sharing and redistribution of food using the Google Maps Platform API. This function allows users to share food that is nearing its expiration date with others, preventing waste.

[0479] As a concrete example, consider a user who has set a weight loss goal and wants to use up leftover chicken and carrots. This system prompts the user with "low calorie, use chicken and carrots," and the generating AI suggests a recipe accordingly. Furthermore, it can suggest sharing the leftover ingredients to nearby facilities or other users.

[0480] An example of a prompt might be, "Generate a low-calorie recipe using chicken and carrots for a user on a diet." This allows users to achieve an efficient diet that meets their individual needs while minimizing food waste.

[0481] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0482] Step 1:

[0483] Users input health information and nutritional goals using a terminal. This input data includes the user's weight, height, allergy information, and target nutritional standards. This information is collected through the user interface and transmitted to the server.

[0484] Step 2:

[0485] The device uses its built-in camera to photograph food items in the home and analyzes them using image processing technology. Algorithms such as TensorFlow are used to identify the type of food item and its expiration date. The output of this process is the detected food item information (name, expiration date, etc.), which is then sent to the server.

[0486] Step 3:

[0487] Based on the received health and food information, the server uses a generative AI model to generate an optimal meal plan for the user. Using the input nutritional goals and currently available ingredients as prompts, the AI ​​model performs calculations and outputs specific menu suggestions. This output is then provided to the user.

[0488] Step 4:

[0489] The server creates a list of food items nearing their expiration date and sends a notification to the user. The input is expiration date data, and the output is a push notification. The server then identifies shareable food items and determines whether they can be shared.

[0490] Step 5:

[0491] Users choose to use ingredients or share them with other users or facilities based on notifications from the server. The server uses Google Maps Platform to search for nearby users and facilities and uses location information and ingredient data to make the best match. The output of this process is a list of matched users or facilities.

[0492] Step 6:

[0493] The server evaluates user activity based on their activity history and provides rewards (such as points or discounts) as needed. The input is user usage data, and the output is a notification of reward information. This step encourages user participation.

[0494] Through the above processing steps, users can efficiently enjoy healthy meals while reducing food waste.

[0495] 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.

[0496] This invention is a system that automatically generates optimal menus based on the user's health information and nutritional goals, and also takes the user's emotional state into consideration. This allows for more personalized and effective suggestions to the user, supporting food choices, food waste reduction, and health management.

[0497] First, based on the health information and nutritional goals entered by the user into the application, the server generates a personalized nutrition plan using the AI ​​nutritionist function. Simultaneously, the emotion engine analyzes the user's emotional data in real time. The user's emotional information is acquired through cameras and biosensors, and the emotional state is evaluated based on the user's facial expressions and physiological signals.

[0498] Next, the server uses the emotional data analyzed by the emotion engine to adjust the suggested menus and ingredient usage. For example, if the user is feeling stressed, it may suggest dishes containing ingredients that have a relaxing effect. Depending on the emotional state, it may also consider adjusting portion sizes to match the user's appetite or adding a mood-enhancing dessert.

[0499] Using image recognition technology, users' devices scan food items in their refrigerators and pantries and send the information to a server. This information, along with expiration dates, is managed to prevent food waste. Furthermore, food items nearing their expiration date are matched with those of other users or facilities for effective use.

[0500] In a real-world use case, when a user returns home tired from work, the emotion engine detects stress and fatigue. As a result, the server adjusts the recommended dinner menu, suggesting simple and emotionally supportive options. For example, it might suggest a relaxing soup with herbs or a refreshing fruit salad.

[0501] Thus, this system provides comprehensive services that go beyond mere nutritional management, thereby supporting users' health and mental well-being. At the same time, it is a mechanism that supports sustainable eating habits by preventing food waste and responding quickly to other needs.

[0502] The following describes the processing flow.

[0503] Step 1:

[0504] Users log in to the application and enter their health information and nutritional goals. This includes weight, height, allergy information, and target calorie intake.

[0505] Step 2:

[0506] To collect user emotional information, the device uses its camera and biosensors to analyze the user's facial expressions and physiological signals in real time, generating emotional data.

[0507] Step 3:

[0508] The server receives the user's health information and emotional data, and uses an AI algorithm to generate an optimal menu. Based on the emotional data, the menu reflects ingredients and dishes that are appropriate for the user's current emotional state.

[0509] Step 4:

[0510] Users take photos of food items in their homes with their smartphone camera and upload them to the system via a terminal. The terminal uses image recognition technology to identify the name, quantity, and expiration date of the food items.

[0511] Step 5:

[0512] The server manages the expiration dates of ingredients and sends notifications to users when the expiration date approaches. This information is used to adjust menus based on sentiment data.

[0513] Step 6:

[0514] The server generates new recipes using ingredients nearing their expiration date and runs a matching algorithm to offer them to other users and establishments. Sentimental data is also taken into consideration and presented to the user along with relevant photos of the dishes.

[0515] Step 7:

[0516] Based on how often users use the system and changes in their emotional state, the server calculates and appropriately grants incentives. These include coupons for purchasing healthy ingredients and services to customize meal plans.

[0517] (Example 2)

[0518] 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."

[0519] In modern society, the importance of individual health and nutrition management is increasing, but there is a lack of means to provide personalized meal suggestions that also take emotional states into account. Furthermore, the appropriate consumption of ingredients and the reduction of food waste are crucial issues for a sustainable society. In addition, there is a need for the efficient sharing and utilization of ingredients among different users and facilities.

[0520] 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.

[0521] In this invention, the server includes means for automatically generating an optimal meal plan based on the user's health information and nutritional goals, means for analyzing the user's emotional state and adjusting the meal plan, and means for detecting food characteristics using image recognition technology and managing expiration dates. This enables more personalized nutritional management, the provision of healthy meals that take emotions into consideration, optimal management of ingredients and reduction of food waste, and efficient use of ingredients.

[0522] "User health information" refers to information about an individual's health status and physical characteristics, including height, weight, age, exercise habits, and health checkup results.

[0523] "Nutritional goals" refer to the nutritional balance and dietary objectives that individual users aim to achieve, and are based on individual health goals such as weight loss, muscle building, or supplementation of specific nutrients.

[0524] A "meal plan" is a specific meal plan developed based on the user's health information and nutritional goals, and includes daily meal content and ingredient selection.

[0525] "Emotional state" refers to the user's emotional characteristics, and is analyzed considering the impact of the user's emotions on their food choices and health.

[0526] "Image recognition technology" is a technology in which a computer analyzes digital images to identify and extract specific objects or features, and in this invention, it is used to determine the characteristics of food ingredients.

[0527] "Managing expiration dates" is a management method that involves monitoring the expiration dates of food ingredients and providing notifications at the appropriate time to prevent food waste and ensure the effective use of ingredients.

[0528] "Food matching" is the process of efficiently sharing or providing ingredients with other users or facilities based on collected ingredient information.

[0529] This invention is a system for users to effectively manage their health and plan their meals. The specific implementation method of this system is described below.

[0530] The user first enters their health information into the application. This includes height, weight, age, and exercise habits. By entering this information, the system obtains the basic data to generate a meal plan tailored to the user's nutritional goals.

[0531] The server uses a generative AI model to create an optimal meal plan based on user input. This AI model analyzes the data entered by the user and generates prompts to provide appropriate meal suggestions. For example, a prompt such as, "Health information: 175cm tall, 70kg weight, 32-year-old male who exercises 3 times a week. I've been feeling a little stressed lately. Please suggest a menu that will help me relax," might be used.

[0532] Simultaneously, the device uses its camera and biosensors to analyze the user's emotional state in real time. The device analyzes physiological signals such as the user's facial expressions and heart rate, and provides this information to the server. Based on the provided emotional data, the server adjusts the meal plan and provides the user with the most suitable suggestions. This adjustment includes, for example, suggesting menus containing ingredients with relaxing effects if the user is feeling stressed.

[0533] Furthermore, the terminal uses image recognition technology to scan food items in the refrigerator and pantry and send that information to the server. The server uses this information to manage expiration dates and takes measures to prevent food waste for items nearing their expiration date. It also has a function to match food items with other users and facilities in the area based on the food item information. In this way, the server supports the effective use of food items.

[0534] This system allows users to receive personalized meal suggestions based on their health information and emotional state. It also plays a role in reducing food waste and supporting sustainable living.

[0535] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0536] Step 1:

[0537] Users input their health information and nutritional goals into the application. This input data includes height, weight, age, and exercise habits. The server uses the acquired information to refer to a database and extract appropriate nutritional balance standards. This sets nutritional goals optimized for each user.

[0538] Step 2:

[0539] The server uses a generative AI model to input the user's health information as prompt text. Specifically, it generates text such as, "Health information: Height 175cm, weight 70kg, 32-year-old male who exercises 3 times a week." This prompt text is passed to the AI ​​model to create an individual meal plan. The output is daily meal suggestions based on the user's nutritional goals.

[0540] Step 3:

[0541] The device uses a camera and biosensors to capture the user's emotional state in real time. The device analyzes the user's facial expressions and heart rate and sends the emotional data to the server. The server evaluates the emotional state and adjusts the data to reflect it in the meal plan. For example, if data indicating stress is input, a menu including ingredients with relaxing effects will be output.

[0542] Step 4:

[0543] The server uses image recognition technology to analyze images of food items in the refrigerator or pantry sent from the terminal. It compares the input food information with an existing database to confirm the characteristics and expiration dates of the food items. Based on this information, it notifies the user of available food items and their remaining expiration dates. The output includes the food item management status and consumption priority.

[0544] Step 5:

[0545] The server matches ingredients nearing their expiration date with other users and facilities in the region. Information on available ingredients is entered into the matching system, and suitable recipients are suggested as a result. This ensures the efficient use of ingredients and reduces food waste. The output includes the ingredient matching results and delivery address information.

[0546] Step 6:

[0547] The server notifies the user of a customized meal plan. The user views the suggestions received through the application and gains guidance for preparing daily meals. The output includes customized menu information and guidelines for implementation.

[0548] (Application Example 2)

[0549] 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."

[0550] Traditional health management systems only provide menus based on users' health information and nutritional goals, and do not adequately consider users' emotional states, resulting in insufficient personalized meal suggestions. Furthermore, providing appropriate meals while minimizing food waste is another challenge. In addition, there is a need for improved convenience, allowing users to easily select meals even when out and about or when fatigued.

[0551] 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.

[0552] In this invention, the server includes an information processing unit that automatically generates an optimal menu considering the user's health information, nutritional goals, and emotional state; an information processing unit that detects ingredient information using image recognition technology and manages the storage period; an information processing unit that efficiently matches food with other users and facilities and provides meals in cooperation with delivery services; and an information processing unit that acquires and analyzes the user's emotional data using a smartphone device. This makes it possible to provide users with personalized meal suggestions tailored to their emotional state, thereby reducing food waste and improving convenience.

[0553] "User health information" refers to data related to the individual health status of each user, including information such as weight, height, allergies, and medical history.

[0554] "Nutritional targets" refer to the nutritional balance and specific nutrient intake targets that users should aim for, and are specific values ​​set for maintaining or improving health.

[0555] "Emotional state" refers to information that indicates the user's psychological or emotional condition, and is an indicator used to express a variety of emotions, including stress, happiness, and fatigue.

[0556] "Image recognition technology" is a technique that uses cameras and sensors to analyze images and identify the type and condition of food ingredients, and it is a method that utilizes computer vision technology.

[0557] "Shelf life" refers to information indicating the period during which food can be properly stored and consumed, and means best-before date or expiration date.

[0558] A "delivery service" is a service that transports the meals selected by the user to a specified location, supporting the entire process from ordering to receiving the meal.

[0559] A "smartphone" is a portable electronic device that can not only make and receive calls and messages, but also install a variety of applications, and has a built-in camera and sensors.

[0560] An "information processing organization that acquires and analyzes emotional data" refers to a device or system that collects emotional data obtained from users and analyzes it to evaluate their emotional state.

[0561] This invention is a system that provides meal suggestions considering the user's health information, nutritional goals, and emotional state. The server stores the user's registered health information and nutritional goals in a database and generates an optimal menu using an AI model. This provides a meal plan tailored to the user's health condition.

[0562] The device monitors the user's emotional state in real time via a smartphone. For this purpose, a camera and biosensors are used to collect the user's facial expressions and physiological data. This data is then analyzed using image recognition technology to evaluate the user's emotional state.

[0563] Furthermore, the server combines the user's emotional assessment with expiration date information to individually tailor meal suggestions. For example, if a user is feeling stressed, a menu containing ingredients with relaxing properties will be recommended. Expiration dates are automatically managed using image recognition technology, and suggestions prioritizing the use of ingredients with shorter shelf lives are also provided.

[0564] For example, when a user returns home tired, the system can suggest a meal with a relaxing effect, such as chamomile tea or a soup made with herbs. In this case, the system would generate the following prompt:

[0565] "Based on your health and emotional state today, the AI ​​suggests the following meal: How about a salad with chamomile tea to enhance relaxation, and chicken and herb soup?"

[0566] This prompt message is an initiative that encourages users to make appropriate food choices while also contributing to the reduction of food waste.

[0567] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0568] Step 1:

[0569] The user launches a smartphone app and enters their health information and nutritional goals. This information includes data about the user's health status (e.g., weight, height, allergy information) and individual nutritional goals (e.g., calorie and nutrient intake targets). After entering the information, the device sends it to the server.

[0570] Step 2:

[0571] The server stores the received health information and nutritional goals in a database. Based on the stored information, a generative AI model is used to automatically generate menu options optimized for the user. This generation process involves data calculations that take health information and nutritional goals into consideration, determining the most suitable ingredients and menus for each individual user.

[0572] Step 3:

[0573] The system uses a biosensor connected to the user's device camera to acquire real-time emotional data from the user. This includes physiological data such as facial expressions and heart rate. The device analyzes the captured images and physiological measurements to determine specific emotional states (e.g., stress, happiness).

[0574] Step 4:

[0575] The emotional data from the analysis is sent from the terminal to the server. The server uses this emotional data to adjust the already generated menu options. Specifically, ingredients and quantities are selected and adjusted according to the emotional state, and dishes that reduce stress and have a refreshing effect are selected.

[0576] Step 5:

[0577] The server uses image recognition technology to detect information about the food items in the refrigerator. It identifies the type of food and its expiration date, and suggests prioritizing the use of items with shorter shelf lives. Through data processing, a meal plan is provided that contributes to reducing food waste.

[0578] Step 6:

[0579] The server generates a finalized menu suggestion as a prompt message on the user's terminal. This prompt message includes specific menu suggestions for the user (e.g., "We suggest chamomile tea and herbal soup"), supporting meal choices that match the user's emotional state.

[0580] Step 7:

[0581] The user reviews the received prompt and selects a meal from the recommended menu. Based on the selected menu, the terminal can then coordinate with a delivery service to place the necessary food order.

[0582] 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.

[0583] 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.

[0584] 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.

[0585] [Fourth Embodiment]

[0586] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0587] 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.

[0588] 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).

[0589] 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.

[0590] 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.

[0591] 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).

[0592] 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.

[0593] 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.

[0594] 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.

[0595] 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.

[0596] 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.

[0597] 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.

[0598] 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".

[0599] This invention is a system designed to automatically generate optimal menus based on a user's health information and nutritional goals, while simultaneously reducing food waste. The system begins with a process of inputting the user's health data, manages the expiration dates of ingredients, and provides a mechanism to efficiently match food with other users or facilities as needed.

[0600] First, users input their health information through the application. This includes weight, height, allergy information, and nutritional goals. Based on this information, the system can propose a personalized nutrition plan tailored to each user's characteristics.

[0601] Next, let's discuss the food management function. Users take photos of food items in their home using their smartphone camera and upload them to the system. The device uses image recognition technology to identify the food items and their expiration dates. This information is sent to the server, and the system is configured to notify users of items that are nearing their expiration date.

[0602] This gives users the opportunity to use up food items nearing their expiration date without wasting them. Furthermore, by bringing food items close to their expiration date to a convenience store, the server adds this information to its database, creating a system for providing it to other consumers and facilities that need it.

[0603] As a concrete example, consider a user who wants to prevent obesity using this system. The user sets a nutritional goal of weight loss, and an AI nutritionist proposes a weekly menu that takes into account calories and nutrient balance. Daily meals are provided, and at the same time, expiration dates are managed to ensure that ingredients in the refrigerator are used efficiently. In addition, surplus ingredients are reused at nearby facilities or provided to individuals in need.

[0604] This system achieves efficient food waste reduction while promoting health management tailored to individual needs. In this way, it minimizes food waste while providing users with the opportunity to enjoy nutritionally balanced meals.

[0605] The following describes the processing flow.

[0606] Step 1:

[0607] The user launches the application and creates a new account. The user enters their name, email address, and password to create the account. After this, they enter health information such as height, weight, allergy information, food preferences, and nutritional goals.

[0608] Step 2:

[0609] The server receives the user's health information and nutritional goals and stores them in a database. Based on this, the AI ​​nutritionist module prepares to generate appropriate meal plans.

[0610] Step 3:

[0611] The server uses an AI algorithm to automatically generate an optimal weekly meal plan based on the user's health information. This plan takes into account the calorie and nutrient balance of each meal. The generated meal plan information is then sent to the user's device.

[0612] Step 4:

[0613] Users take photos of ingredients in their homes with their smartphone camera and upload them through the application. Users can also manually enter additional information to confirm the name and expiration date of each ingredient.

[0614] Step 5:

[0615] The device analyzes the captured image using image recognition technology to identify the name, quantity, and expiration date of the food item. This information is sent to a server and stored in a database.

[0616] Step 6:

[0617] The server manages the expiration dates of ingredients in a database and automatically sends notifications to users when the expiration date approaches. This allows users to prioritize the use of those ingredients.

[0618] Step 7:

[0619] Users bring in groceries that are nearing their expiration date and check in at a convenience store using a terminal. The terminal scans the information of the groceries and sends it to a server.

[0620] Step 8:

[0621] The server automatically generates new menus and recipes using an AI algorithm based on ingredients registered at convenience stores. This information, along with photos of the dishes, is provided to the user's device.

[0622] Step 9:

[0623] The server searches for other users and facilities that need ingredients that are nearing their expiration date and matches them as needed. Notifications are sent to arrange for bringing in or receiving the ingredients.

[0624] Step 10:

[0625] The server analyzes user usage data and provides feedback on health management. Furthermore, it calculates incentives based on usage and grants them to the user's account.

[0626] (Example 1)

[0627] 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".

[0628] There is a problem of food waste (food loss) occurring in households due to inadequate food management and insufficient consideration of nutritional balance. Furthermore, there is a challenge in providing appropriate meal plans based on individual health information. An effective system is needed to efficiently manage food ingredients and provide meal plans that align with nutritional goals.

[0629] 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.

[0630] This invention includes a server that uses generative AI to input user health data and generate a personalized nutrition plan based on nutritional goals; means of utilizing image processing to recognize the characteristics and shelf life of ingredients from images of ingredients that have been photographed; and means of optimizing distribution to redistribute food nearing its expiration date to other consumers or facilities. This allows users to obtain menus optimized for their individual health while simultaneously reducing food waste.

[0631] "Health data" refers to information about an individual's health status and goals, such as the user's weight, height, allergy information, and nutritional goals.

[0632] A "nutrition plan" refers to an optimal nutritional intake plan generated based on the user's health data.

[0633] "Generative AI" refers to artificial intelligence technology that analyzes data based on user input and generates information that is suitable for a specific purpose.

[0634] "Image processing" refers to the technology of extracting and analyzing useful information from captured image data.

[0635] "Shelf life" refers to the period during which food can be safely consumed without spoiling.

[0636] "Distribution" refers to the logistics process of efficiently moving food from suppliers to consumers or facilities.

[0637] "Nutritional balance" is a concept that means consuming the nutrients necessary for maintaining good health in the appropriate proportions.

[0638] "Food waste" refers to food that is discarded without being consumed, and is also known as food loss.

[0639] This invention provides a system that automatically generates an optimal nutrition plan based on the user's health data, manages food storage, and reduces food waste. This system is implemented using a smartphone, a server, a generative AI model, and image processing technology.

[0640] Users enter health information using a smartphone application. This includes weight, height, allergy information, and nutritional goals. The information entered by the user is sent to a server via the internet. The server passes this health data to a generating AI model, which generates an optimal nutrition plan for the user. This generating AI model proposes a plan that takes into account nutritional balance and calorie restrictions.

[0641] For example, if a user sets weight loss as their goal, the AI ​​will provide a meal plan that takes into account the calories and necessary nutrients for one week. An example of a prompt would be, "Please suggest a meal plan aimed at weight loss."

[0642] Furthermore, users use their smartphone cameras to photograph food items in their homes and upload this data to the application. The device uses image processing technology to identify the names and expiration dates of the food items and sends this information to a server. The server manages the expiration date information and provides a system to notify users of food items that are nearing their expiration date.

[0643] This system not only allows users to enjoy nutritionally balanced meals but also minimizes food waste in the home. By bringing food items nearing their expiration date to convenience stores or other locations, the server initiates procedures for redistributing the food to other consumers or facilities. In this way, by combining efficient food management with health support, it can make food culture more sustainable.

[0644] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0645] Step 1:

[0646] Users enter health data through a smartphone app. This data includes weight, height, allergy information, and nutritional goals. After this information is entered into the application, it is transmitted to a server via the internet. The entered data is stored in a database for use within the system.

[0647] Step 2:

[0648] The server sends the received health data to a generating AI model. The AI ​​model generates a personalized nutrition plan based on the user's health information and nutritional goals. This generating AI model performs calculations to optimize nutritional balance based on the input data and outputs the optimal meal plan for the user. For example, if a weight loss goal is set, a meal plan that is low in calories and contains the necessary nutrients will be generated.

[0649] Step 3:

[0650] Users take photos of food items in their homes with their smartphone camera and upload them to the application. The device uses image recognition technology to identify the type of food item and its expiration date. It extracts the characteristics of the food items from the input images and sends the identification results to the server. This allows the food item information to be reflected in the system.

[0651] Step 4:

[0652] The server manages expiration dates based on the acquired food data. It sends notifications to users for food items nearing their expiration date. This process retrieves expiration information from the database and sends alerts to users via push notifications. The information conveyed to users might be something like, "There are some food items that should be used within 3 days."

[0653] Step 5:

[0654] The server organizes information on food nearing its expiration date for redistribution to other users and facilities. When food is brought in, the information is added to the database and shared with other consumers and facilities that need it. This process enables efficient data distribution. As a result, users can reduce food waste and contribute to their local community.

[0655] (Application Example 1)

[0656] 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".

[0657] In modern society, the issues of user health management and food waste are serious, and there is a need for methods that effectively reduce food loss while providing nutritious meals. However, since methods for automatically generating meal plans tailored to individual nutritional standards, and efficient methods for managing and sharing ingredients have not yet been established, it is desirable to solve these problems.

[0658] 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.

[0659] In this invention, the server includes a computing device that automatically generates meal plans based on the user's nutritional standards, a computing device that identifies food information and manages the shelf life using image processing technology, and a computing device that effectively shares ingredients with other users and facilities. This allows users to enjoy healthy meals while minimizing food waste and efficiently sharing food with other users and facilities.

[0660] A "calculation device that automatically generates meal plans based on the user's nutritional standards" is a device that collects the health information and nutritional goals of individual users as input data and uses an algorithm to create an appropriate meal plan based on that data.

[0661] A "computational device that identifies food information and manages storage periods using image processing technology" is a device that uses image recognition technology to determine the type of food and its expiration date, and then provides information for managing storage periods based on that.

[0662] A "computational device for effectively sharing ingredients with other users and facilities" is a device that efficiently redistributes ingredients using location information and food matching algorithms to optimize the sharing of ingredients among users and facilities.

[0663] A "generative AI model" is an artificial intelligence algorithm that generates predictions and suggestions based on specific inputs, and in this invention, it is used to derive optimal meal plans and possibilities for food redistribution.

[0664] A "prompt" refers to input data or instructions that a generative AI model uses to generate a specific output; in this case, it indicates the conditions or criteria for generating a meal plan.

[0665] The system that realizes this invention mainly consists of a user terminal, a server, and artificial intelligence technology. The user terminal is a smartphone or tablet and provides an interface for inputting the user's health information and nutritional goals. In addition, the terminal uses a camera to take pictures of food items and uses image processing technology to recognize the type of food item and its expiration date. To this end, the terminal utilizes image recognition libraries such as TensorFlow and sends the data to the cloud server.

[0666] The server generates a meal plan tailored to the user's individual nutritional standards based on the received data. Here, a generation AI model is used to suggest meal plans. Specifically, based on the health parameters entered by the user, the AI ​​model operates via the OpenAI API, generating a meal plan according to the prompts. The server also manages the expiration dates of ingredients and recommends using ingredients nearing their expiration date.

[0667] Furthermore, the server provides a food sharing function. Based on distance information between users or between facilities, it optimizes the sharing and redistribution of food using the Google Maps Platform API. This function allows users to share food that is nearing its expiration date with others, preventing waste.

[0668] As a concrete example, consider a user who has set a weight loss goal and wants to use up leftover chicken and carrots. This system prompts the user with "low calorie, use chicken and carrots," and the generating AI suggests a recipe accordingly. Furthermore, it can suggest sharing the leftover ingredients to nearby facilities or other users.

[0669] An example of a prompt might be, "Generate a low-calorie recipe using chicken and carrots for a user on a diet." This allows users to achieve an efficient diet that meets their individual needs while minimizing food waste.

[0670] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0671] Step 1:

[0672] Users input health information and nutritional goals using a terminal. This input data includes the user's weight, height, allergy information, and target nutritional standards. This information is collected through the user interface and transmitted to the server.

[0673] Step 2:

[0674] The device uses its built-in camera to photograph food items in the home and analyzes them using image processing technology. Algorithms such as TensorFlow are used to identify the type of food item and its expiration date. The output of this process is the detected food item information (name, expiration date, etc.), which is then sent to the server.

[0675] Step 3:

[0676] Based on the received health and food information, the server uses a generative AI model to generate an optimal meal plan for the user. Using the input nutritional goals and currently available ingredients as prompts, the AI ​​model performs calculations and outputs specific menu suggestions. This output is then provided to the user.

[0677] Step 4:

[0678] The server creates a list of food items nearing their expiration date and sends a notification to the user. The input is expiration date data, and the output is a push notification. The server then identifies shareable food items and determines whether they can be shared.

[0679] Step 5:

[0680] Users choose to use ingredients or share them with other users or facilities based on notifications from the server. The server uses Google Maps Platform to search for nearby users and facilities and uses location information and ingredient data to make the best match. The output of this process is a list of matched users or facilities.

[0681] Step 6:

[0682] The server evaluates user activity based on their activity history and provides rewards (such as points or discounts) as needed. The input is user usage data, and the output is a notification of reward information. This step encourages user participation.

[0683] Through the above processing steps, users can efficiently enjoy healthy meals while reducing food waste.

[0684] 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.

[0685] This invention is a system that automatically generates optimal menus based on the user's health information and nutritional goals, and also takes the user's emotional state into consideration. This allows for more personalized and effective suggestions to the user, supporting food choices, food waste reduction, and health management.

[0686] First, based on the health information and nutritional goals entered by the user into the application, the server generates a personalized nutrition plan using the AI ​​nutritionist function. Simultaneously, the emotion engine analyzes the user's emotional data in real time. The user's emotional information is acquired through cameras and biosensors, and the emotional state is evaluated based on the user's facial expressions and physiological signals.

[0687] Next, the server uses the emotional data analyzed by the emotion engine to adjust the suggested menus and ingredient usage. For example, if the user is feeling stressed, it may suggest dishes containing ingredients that have a relaxing effect. Depending on the emotional state, it may also consider adjusting portion sizes to match the user's appetite or adding a mood-enhancing dessert.

[0688] Using image recognition technology, users' devices scan food items in their refrigerators and pantries and send the information to a server. This information, along with expiration dates, is managed to prevent food waste. Furthermore, food items nearing their expiration date are matched with those of other users or facilities for effective use.

[0689] In a real-world use case, when a user returns home tired from work, the emotion engine detects stress and fatigue. As a result, the server adjusts the recommended dinner menu, suggesting simple and emotionally supportive options. For example, it might suggest a relaxing soup with herbs or a refreshing fruit salad.

[0690] Thus, this system provides comprehensive services that go beyond mere nutritional management, thereby supporting users' health and mental well-being. At the same time, it is a mechanism that supports sustainable eating habits by preventing food waste and responding quickly to other needs.

[0691] The following describes the processing flow.

[0692] Step 1:

[0693] Users log in to the application and enter their health information and nutritional goals. This includes weight, height, allergy information, and target calorie intake.

[0694] Step 2:

[0695] To collect user emotional information, the device uses its camera and biosensors to analyze the user's facial expressions and physiological signals in real time, generating emotional data.

[0696] Step 3:

[0697] The server receives the user's health information and emotional data, and uses an AI algorithm to generate an optimal menu. Based on the emotional data, the menu reflects ingredients and dishes that are appropriate for the user's current emotional state.

[0698] Step 4:

[0699] Users take photos of food items in their homes with their smartphone camera and upload them to the system via a terminal. The terminal uses image recognition technology to identify the name, quantity, and expiration date of the food items.

[0700] Step 5:

[0701] The server manages the expiration dates of ingredients and sends notifications to users when the expiration date approaches. This information is used to adjust menus based on sentiment data.

[0702] Step 6:

[0703] The server generates new recipes using ingredients nearing their expiration date and runs a matching algorithm to offer them to other users and establishments. Sentimental data is also taken into consideration and presented to the user along with relevant photos of the dishes.

[0704] Step 7:

[0705] Based on how often users use the system and changes in their emotional state, the server calculates and appropriately grants incentives. These include coupons for purchasing healthy ingredients and services to customize meal plans.

[0706] (Example 2)

[0707] 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".

[0708] In modern society, the importance of individual health and nutrition management is increasing, but there is a lack of means to provide personalized meal suggestions that also take emotional states into account. Furthermore, the appropriate consumption of ingredients and the reduction of food waste are crucial issues for a sustainable society. In addition, there is a need for the efficient sharing and utilization of ingredients among different users and facilities.

[0709] 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.

[0710] In this invention, the server includes means for automatically generating an optimal meal plan based on the user's health information and nutritional goals, means for analyzing the user's emotional state and adjusting the meal plan, and means for detecting food characteristics using image recognition technology and managing expiration dates. This enables more personalized nutritional management, the provision of healthy meals that take emotions into consideration, optimal management of ingredients and reduction of food waste, and efficient use of ingredients.

[0711] "User health information" refers to information about an individual's health status and physical characteristics, including height, weight, age, exercise habits, and health checkup results.

[0712] "Nutritional goals" refer to the nutritional balance and dietary objectives that individual users aim to achieve, and are based on individual health goals such as weight loss, muscle building, or supplementation of specific nutrients.

[0713] A "meal plan" is a specific meal plan developed based on the user's health information and nutritional goals, and includes daily meal content and ingredient selection.

[0714] "Emotional state" refers to the user's emotional characteristics, and is analyzed considering the impact of the user's emotions on their food choices and health.

[0715] "Image recognition technology" is a technology in which a computer analyzes digital images to identify and extract specific objects or features, and in this invention, it is used to determine the characteristics of food ingredients.

[0716] "Managing expiration dates" is a management method that involves monitoring the expiration dates of food ingredients and providing notifications at the appropriate time to prevent food waste and ensure the effective use of ingredients.

[0717] "Food matching" is the process of efficiently sharing or providing ingredients with other users or facilities based on collected ingredient information.

[0718] This invention is a system for users to effectively manage their health and plan their meals. The specific implementation method of this system is described below.

[0719] The user first enters their health information into the application. This includes height, weight, age, and exercise habits. By entering this information, the system obtains the basic data to generate a meal plan tailored to the user's nutritional goals.

[0720] The server uses a generative AI model to create an optimal meal plan based on user input. This AI model analyzes the data entered by the user and generates prompts to provide appropriate meal suggestions. For example, a prompt such as, "Health information: 175cm tall, 70kg weight, 32-year-old male who exercises 3 times a week. I've been feeling a little stressed lately. Please suggest a menu that will help me relax," might be used.

[0721] Simultaneously, the device uses its camera and biosensors to analyze the user's emotional state in real time. The device analyzes physiological signals such as the user's facial expressions and heart rate, and provides this information to the server. Based on the provided emotional data, the server adjusts the meal plan and provides the user with the most suitable suggestions. This adjustment includes, for example, suggesting menus containing ingredients with relaxing effects if the user is feeling stressed.

[0722] Furthermore, the terminal uses image recognition technology to scan food items in the refrigerator and pantry and send that information to the server. The server uses this information to manage expiration dates and takes measures to prevent food waste for items nearing their expiration date. It also has a function to match food items with other users and facilities in the area based on the food item information. In this way, the server supports the effective use of food items.

[0723] This system allows users to receive personalized meal suggestions based on their health information and emotional state. It also plays a role in reducing food waste and supporting sustainable living.

[0724] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0725] Step 1:

[0726] Users input their health information and nutritional goals into the application. This input data includes height, weight, age, and exercise habits. The server uses the acquired information to refer to a database and extract appropriate nutritional balance standards. This sets nutritional goals optimized for each user.

[0727] Step 2:

[0728] The server uses a generative AI model to input the user's health information as prompt text. Specifically, it generates text such as, "Health information: Height 175cm, weight 70kg, 32-year-old male who exercises 3 times a week." This prompt text is passed to the AI ​​model to create an individual meal plan. The output is daily meal suggestions based on the user's nutritional goals.

[0729] Step 3:

[0730] The device uses a camera and biosensors to capture the user's emotional state in real time. The device analyzes the user's facial expressions and heart rate and sends the emotional data to the server. The server evaluates the emotional state and adjusts the data to reflect it in the meal plan. For example, if data indicating stress is input, a menu including ingredients with relaxing effects will be output.

[0731] Step 4:

[0732] The server uses image recognition technology to analyze images of food items in the refrigerator or pantry sent from the terminal. It compares the input food information with an existing database to confirm the characteristics and expiration dates of the food items. Based on this information, it notifies the user of available food items and their remaining expiration dates. The output includes the food item management status and consumption priority.

[0733] Step 5:

[0734] The server matches ingredients nearing their expiration date with other users and facilities in the region. Information on available ingredients is entered into the matching system, and suitable recipients are suggested as a result. This ensures the efficient use of ingredients and reduces food waste. The output includes the ingredient matching results and delivery address information.

[0735] Step 6:

[0736] The server notifies the user of a customized meal plan. The user views the suggestions received through the application and gains guidance for preparing daily meals. The output includes customized menu information and guidelines for implementation.

[0737] (Application Example 2)

[0738] 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".

[0739] Traditional health management systems only provide menus based on users' health information and nutritional goals, and do not adequately consider users' emotional states, resulting in insufficient personalized meal suggestions. Furthermore, providing appropriate meals while minimizing food waste is another challenge. In addition, there is a need for improved convenience, allowing users to easily select meals even when out and about or when fatigued.

[0740] 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.

[0741] In this invention, the server includes an information processing unit that automatically generates an optimal menu considering the user's health information, nutritional goals, and emotional state; an information processing unit that detects ingredient information using image recognition technology and manages the storage period; an information processing unit that efficiently matches food with other users and facilities and provides meals in cooperation with delivery services; and an information processing unit that acquires and analyzes the user's emotional data using a smartphone device. This makes it possible to provide users with personalized meal suggestions tailored to their emotional state, thereby reducing food waste and improving convenience.

[0742] "User health information" refers to data related to the individual health status of each user, including information such as weight, height, allergies, and medical history.

[0743] "Nutritional targets" refer to the nutritional balance and specific nutrient intake targets that users should aim for, and are specific values ​​set for maintaining or improving health.

[0744] "Emotional state" refers to information that indicates the user's psychological or emotional condition, and is an indicator used to express a variety of emotions, including stress, happiness, and fatigue.

[0745] "Image recognition technology" is a technique that uses cameras and sensors to analyze images and identify the type and condition of food ingredients, and it is a method that utilizes computer vision technology.

[0746] "Shelf life" refers to information indicating the period during which food can be properly stored and consumed, and means best-before date or expiration date.

[0747] A "delivery service" is a service that transports the meals selected by the user to a specified location, supporting the entire process from ordering to receiving the meal.

[0748] A "smartphone" is a portable electronic device that can not only make and receive calls and messages, but also install a variety of applications, and has a built-in camera and sensors.

[0749] An "information processing organization that acquires and analyzes emotional data" refers to a device or system that collects emotional data obtained from users and analyzes it to evaluate their emotional state.

[0750] This invention is a system that provides meal suggestions considering the user's health information, nutritional goals, and emotional state. The server stores the user's registered health information and nutritional goals in a database and generates an optimal menu using an AI model. This provides a meal plan tailored to the user's health condition.

[0751] The device monitors the user's emotional state in real time via a smartphone. For this purpose, a camera and biosensors are used to collect the user's facial expressions and physiological data. This data is then analyzed using image recognition technology to evaluate the user's emotional state.

[0752] Furthermore, the server combines the user's emotional assessment with expiration date information to individually tailor meal suggestions. For example, if a user is feeling stressed, a menu containing ingredients with relaxing properties will be recommended. Expiration dates are automatically managed using image recognition technology, and suggestions prioritizing the use of ingredients with shorter shelf lives are also provided.

[0753] For example, when a user returns home tired, the system can suggest a meal with a relaxing effect, such as chamomile tea or a soup made with herbs. In this case, the system would generate the following prompt:

[0754] "Based on your health and emotional state today, the AI ​​suggests the following meal: How about a salad with chamomile tea to enhance relaxation, and chicken and herb soup?"

[0755] This prompt message is an initiative that encourages users to make appropriate food choices while also contributing to the reduction of food waste.

[0756] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0757] Step 1:

[0758] The user launches a smartphone app and enters their health information and nutritional goals. This information includes data about the user's health status (e.g., weight, height, allergy information) and individual nutritional goals (e.g., calorie and nutrient intake targets). After entering the information, the device sends it to the server.

[0759] Step 2:

[0760] The server stores the received health information and nutritional goals in a database. Based on the stored information, a generative AI model is used to automatically generate menu options optimized for the user. This generation process involves data calculations that take health information and nutritional goals into consideration, determining the most suitable ingredients and menus for each individual user.

[0761] Step 3:

[0762] The system uses a biosensor connected to the user's device camera to acquire real-time emotional data from the user. This includes physiological data such as facial expressions and heart rate. The device analyzes the captured images and physiological measurements to determine specific emotional states (e.g., stress, happiness).

[0763] Step 4:

[0764] The emotional data from the analysis is sent from the terminal to the server. The server uses this emotional data to adjust the already generated menu options. Specifically, ingredients and quantities are selected and adjusted according to the emotional state, and dishes that reduce stress and have a refreshing effect are selected.

[0765] Step 5:

[0766] The server uses image recognition technology to detect information about the food items in the refrigerator. It identifies the type of food and its expiration date, and suggests prioritizing the use of items with shorter shelf lives. Through data processing, a meal plan is provided that contributes to reducing food waste.

[0767] Step 6:

[0768] The server generates a finalized menu suggestion as a prompt message on the user's terminal. This prompt message includes specific menu suggestions for the user (e.g., "We suggest chamomile tea and herbal soup"), supporting meal choices that match the user's emotional state.

[0769] Step 7:

[0770] The user reviews the received prompt and selects a meal from the recommended menu. Based on the selected menu, the terminal can then coordinate with a delivery service to place the necessary food order.

[0771] 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.

[0772] 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.

[0773] 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 robot 414.

[0774] 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.

[0775] 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.

[0776] 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.

[0777] 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.

[0778] 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.

[0779] 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."

[0780] 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.

[0781] 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.

[0782] 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.

[0783] 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.

[0784] 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.

[0785] 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.

[0786] 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.

[0787] 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.

[0788] 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.

[0789] 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.

[0790] 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.

[0791] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0792] The following is further disclosed regarding the embodiments described above.

[0793] (Claim 1)

[0794] An information processing device that automatically generates an optimal menu based on the user's health information and nutritional goals,

[0795] An information processing device that uses image recognition technology to detect food information and manage expiration dates,

[0796] An information processing device that efficiently matches food products with other users and facilities,

[0797] A system that includes this.

[0798] (Claim 2)

[0799] The system according to claim 1, comprising means for generating and presenting new recipes to users using food waste ingredients.

[0800] (Claim 3)

[0801] The system according to claim 1, comprising means for providing incentives based on the user's system usage.

[0802] "Example 1"

[0803] (Claim 1)

[0804] A means of using generative AI to input user health data and generate a personalized nutrition plan based on nutritional goals,

[0805] A method for utilizing image processing to recognize the characteristics and shelf life of food ingredients from images of those ingredients,

[0806] A means to optimize the distribution of food products nearing their expiration date for redistribution to other consumers or facilities,

[0807] A system that includes this.

[0808] (Claim 2)

[0809] The system according to claim 1, comprising means for generating and displaying an optimal menu plan for the user based on the entered health data.

[0810] (Claim 3)

[0811] The system according to claim 1, comprising means for providing a reward to a user when they use food that is nearing its expiration date.

[0812] "Application Example 1"

[0813] (Claim 1)

[0814] A calculator that automatically generates meal plans based on the user's nutritional standards,

[0815] A computing device that uses image processing technology to identify information about food products and manage their shelf life,

[0816] A computing device for effectively sharing ingredients with other users and facilities,

[0817] A means of creating optimal prompts using a generative AI model through food ingredient management,

[0818] A means of redistributing food among multiple users based on location information,

[0819] A system that includes this.

[0820] (Claim 2)

[0821] The system according to claim 1, which uses a generative AI model to provide new cooking instructions aimed at reducing food waste.

[0822] (Claim 3)

[0823] The system according to claim 1, comprising means for providing rewards based on the user's activity.

[0824] "Example 2 of combining an emotion engine"

[0825] (Claim 1)

[0826] A means of automatically generating an optimal meal plan based on the user's health information and nutritional goals,

[0827] A means of analyzing the user's emotional state and adjusting the meal plan,

[0828] A means of detecting food characteristics using image recognition technology and managing expiration dates,

[0829] A means of efficiently matching food with other users and facilities,

[0830] A system that includes this.

[0831] (Claim 2)

[0832] The system according to claim 1, comprising means for suggesting new dishes to users to reduce food waste.

[0833] (Claim 3)

[0834] The system according to claim 1, comprising means for providing rewards based on the user's system operation status.

[0835] "Application example 2 when combining with an emotional engine"

[0836] (Claim 1)

[0837] An information processing organization that automatically generates optimal menus considering the user's health information, nutritional goals, and emotional state,

[0838] An information processing organization that uses image recognition technology to detect food information and manages storage periods,

[0839] An information processing organization that efficiently matches food with other users and facilities, and provides meals in cooperation with delivery services,

[0840] An information processing organization that acquires and analyzes user emotional data using smartphone devices,

[0841] A system that includes this.

[0842] (Claim 2)

[0843] The system according to claim 1, comprising means for generating and presenting new meal suggestions using food waste ingredients based on the user's emotional state.

[0844] (Claim 3)

[0845] The system according to claim 1, comprising means for providing incentives based on the user's system usage status and emotional state. [Explanation of Symbols]

[0846] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. An information processing device that automatically generates an optimal menu based on the user's health information and nutritional goals, An information processing device that uses image recognition technology to detect food information and manage expiration dates, An information processing device that efficiently matches food products with other users and facilities, A system that includes this.

2. The system according to claim 1, comprising means for generating and presenting new recipes to users using food waste ingredients.

3. The system according to claim 1, comprising means for providing incentives based on the user's system usage status.

Images