System

Abstract

A system is provided.SOLUTION: The system includes a means for specifying necessary nutrients based on physical disorder selected by a user, a means for acquiring a food material list including a large amount of the specified nutrients, a means for generating a recipe combined with an appropriate cooking method based on the food material list, and a means for providing the generated recipe to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In modern society, many people suffer from daily health problems and physical discomfort. One of the causes is a lack of balanced nutrition. Many people also find it difficult to choose the right ingredients and cooking methods given their busy schedules. As a result, they are unable to eat meals that are suited to their health condition, which delays health improvement. The objective of this invention is to solve these problems and provide a system that allows users to easily enjoy healthy and delicious meals. [Means for solving the problem]

[0005] The present invention is a system that includes a means for identifying necessary nutrients based on a physical condition selected by the user, a means for acquiring a list of ingredients rich in the identified nutrients, a means for generating recipes that combine appropriate cooking methods based on the ingredient list, and a means for providing the generated recipes to the user. This allows users to easily find the appropriate ingredients and cooking methods for their physical condition, enabling them to eat a balanced diet. The system also includes a means for users to input their physical condition using a terminal, and by providing customized recipes, it supports the health improvement of busy modern people.

[0006] "User" means an individual or entity that uses the Service or System.

[0007] "Physical ailments" are health problems or symptoms experienced by the user.

[0008] A "nutrient" is an organic or inorganic compound necessary for the survival and growth of an organism.

[0009] The "food list" is a list of foods that contain a large amount of a particular nutrient.

[0010] A "cooking method" is a technique or procedure for processing ingredients to prepare a meal.

[0011] A "recipe" is a set of instructions for preparing a dish made from a combination of specific ingredients and cooking methods.

[0012] A "terminal" is an electronic device such as a computer or smartphone that is used to access and operate the system.

[0013] A "system" is a collection of processes and means that are used to achieve a specific purpose.

[0014] A "database" is a collection of data organized to make it easy to search and use.

[0015] An "API" is an interface for exchanging information and functions between different software. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0017] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0020] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0021] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] As an embodiment of the present invention, a system for providing recipes that take into account a user's health condition will be described. This system has a function for identifying necessary nutrients based on a physical condition selected by the user and generating recipes using ingredients containing those nutrients.

[0038] System Overview

[0039] The system consists of the following main components:

[0040] 1. User Device

[0041] 2. Server

[0042] 3. Database

[0043] User Device

[0044] The user terminal is a device that allows users to access the system and input their physical condition. By inputting their own health condition (e.g., fatigue, rough skin, constipation, etc.), the system will suggest ingredients and cooking methods that will replenish the relevant nutrients.

[0045] Processing flow (user)

[0046] 1. The user launches the application and logs in.

[0047] 2. Select and enter the appropriate physical condition from the list of physical conditions.

[0048] 3. Click the "Submit" button to send the input to the server.

[0049] server

[0050] Based on the data received from the user, the server identifies the nutrients necessary for the illness, obtains a list of ingredients that contain those nutrients, and then generates an appropriate recipe and sends it back to the user's device.

[0051] Processing flow (server)

[0052] 1. Receive data about physical conditions sent by users.

[0053] 2. Query the database to identify nutrients associated with the disorder.

[0054] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[0055] 4. Generate recipes based on combinations of ingredients and cooking methods.

[0056] 5. Send the generated recipe to the user device.

[0057] Database

[0058] The database stores various nutrients, ingredients rich in them, and suitable recipes. The server accesses this database to obtain the necessary information.

[0059] Specific examples

[0060] Example 1: If the user selects "I get tired easily"

[0061] 1. User (operation on device)

[0062] The user opens the app and logs in.

[0063] Select "easily tired" from the list of physical ailments and submit.

[0064] 2. Server

[0065] The server receives the information sent by the user that "I get tired easily."

[0066] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[0067] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[0068] Generate a recipe for "Stir-fried Pork and Spinach" using these ingredients.

[0069] Title: "Stir-fried pork and spinach"

[0070] Ingredients needed: Pork, spinach, salt, pepper, oil

[0071] Cooking Instructions:

[0072] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[0073] 2. Add oil to a frying pan and fry the pork.

[0074] 3. Once the meat is cooked through, add the spinach and continue to stir fry.

[0075] 4. Season with salt and pepper.

[0076] The generated recipe is sent to the user's device.

[0077] 3. User (operation on the device)

[0078] The user receives the recipe and checks it on the screen.

[0079] Cook the food according to the recipe.

[0080] This system allows users to easily prepare the optimal meals according to their current health condition, which will also facilitate nutritional management in daily life and lead to improved health.

[0081] The processing flow will be explained below.

[0082] Step 1:

[0083] The user launches the application and logs in. On the app's home screen, the user selects the physical condition they wish to improve.

[0084] Step 2:

[0085] The user selects a specific symptom from the list, such as "easily tired," and presses the "Submit" button to send the selection to the server.

[0086] Step 3:

[0087] The server receives data on the user's condition, such as "I get tired easily."

[0088] Step 4:

[0089] The server queries the database to identify necessary nutrients (such as vitamin B1, iron, and calcium) associated with "easily fatigued."

[0090] Step 5:

[0091] The server retrieves a list of ingredients based on nutrients from a database, such as pork, which is rich in vitamin B1, spinach, which is rich in iron, and dairy products, which are rich in calcium.

[0092] Step 6:

[0093] The server searches for an appropriate recipe based on the list of ingredients it has retrieved. For example, it generates a recipe for "Stir-fried pork and spinach" using pork and spinach.

[0094] Step 7:

[0095] The server-generated recipe contains the following information:

[0096] Title: "Stir-fried pork and spinach"

[0097] Ingredients needed: Pork, spinach, salt, pepper, oil

[0098] Cooking Instructions:

[0099] 1. Cut the pork into small pieces.

[0100] 2. Wash the spinach and cut it into bite-sized pieces.

[0101] 3. Add oil to a frying pan and fry the pork.

[0102] 4. Once the meat is cooked, add the spinach and continue to stir fry.

[0103] 5. Season with salt and pepper.

[0104] Step 8:

[0105] The server sends the generated recipe to the user's device.

[0106] Step 9:

[0107] The device analyzes the recipe data it receives and displays it in a format that is easy for the user to read.

[0108] Step 10:

[0109] The user checks the recipe screen and prepares the dish according to the recipe presented. If there is anything they don't understand while cooking, they can refer to supplementary information or video explanations within the app.

[0110] Example 1

[0111] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0112] In today's busy lifestyles, people tend to neglect their own health management. As a result, health conditions often deteriorate due to nutritional imbalances. Current recipe provision systems lack customization based on individual users' health conditions, making it difficult to provide recipes containing the optimal nutrients for specific health issues.

[0113] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0114] In this invention, the server includes means for identifying necessary nutrients based on a physical condition selected by the user, means for acquiring a list of ingredients rich in the identified nutrients, means for generating recipes based on the ingredient list and combining them with appropriate cooking methods, means for generating the generated recipes using a natural language processing model, and means for converting the generated recipes into PDF format and sending them to a user terminal. This allows users to easily obtain optimal recipes tailored to their own health condition, facilitating nutritional management in their daily lives.

[0115] "Means for identifying nutrient needs based on a user-selected physical condition" refers to a device or software that analyzes health status data entered by a user and identifies appropriate nutrients.

[0116] The "means for obtaining a list of ingredients that are rich in the identified nutrients" refers to a device or software for searching a database for ingredients that correspond to the identified nutrients and obtaining them as a list.

[0117] The "means for generating a recipe that combines appropriate cooking methods based on the ingredient list" refers to a device or software that uses the acquired ingredients and combines the corresponding cooking procedures to create a recipe.

[0118] The "means for generating the generated recipe using a natural language processing model" refers to a device or software for generating a text-format recipe from input data using natural language processing techniques.

[0119] "Means for converting the generated recipe into PDF format and sending it to the user terminal" refers to a device or software for converting the generated recipe into PDF format and sending it to the user terminal.

[0120] "Means for users to input said physical discomfort using a terminal" refers to a device or software that allows users to input health status data through a computer or mobile device they use.

[0121] "Recipes are customized based on the user's health status" refers to the feature that creates recipes using specific nutrients and ingredients tailored to individual needs based on the health data entered by the user.

[0122] MODE FOR CARRYING OUT THE INVENTION

[0123] As an embodiment of the present invention, a system that provides recipes that take into account the user's health condition will be described. This system has the function of identifying necessary nutrients based on a physical condition selected by the user and generating recipes using ingredients that are rich in those nutrients. The main components of this system are as follows:

[0124] User Device

[0125] The user terminal is the device through which the user accesses the system and inputs information about their physical condition. Specifically, this includes smartphones, tablets, and PCs. After launching the application and logging in, the user selects their condition (e.g., fatigue, rough skin, constipation, etc.) on the health condition input screen. The selected information is sent to the server by pressing the "Send" button.

[0126] server

[0127] The server analyzes the data received from the user and generates the optimal recipe based on the user's health condition. The server is built using Python (registered trademark)-based Flask and has the ability to process the received user data.

[0128] The server first identifies the nutrients needed based on the symptoms entered by the user. In this case, it sends a query to a database (PostgreSQL) to identify the relevant nutrients. Next, it retrieves a list of ingredients that are rich in the necessary nutrients from the database.

[0129] The server then uses Natural Language Processing (NLP) technology to generate recipes combining ingredients and cooking methods, utilizing generative AI models such as GPT-3®, and converts the generated recipes into PDF format and sends them to the user's device.

[0130] Database

[0131] The database stores various nutrients, ingredients rich in them, and suitable recipes. The server accesses this database to obtain the necessary information.

[0132] Specific examples

[0133] Example 1: If the user selects "I get tired easily"

[0134] 1. User (operation on device)

[0135] The user opens the app and logs in.

[0136] Select "easily tired" from the list of physical ailments and submit.

[0137] 2. Server

[0138] The server receives the information sent by the user that "I get tired easily."

[0139] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[0140] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[0141] Generate a recipe for "Stir-fried Pork and Spinach" using these ingredients.

[0142] Title: "Stir-fried pork and spinach"

[0143] Ingredients needed: Pork, spinach, salt, pepper, oil

[0144] Cooking Instructions:

[0145] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[0146] 2. Add oil to a frying pan and fry the pork.

[0147] 3. Once the meat is cooked through, add the spinach and continue to stir fry.

[0148] 4. Season with salt and pepper.

[0149] The generated recipe is converted into PDF format and sent to the user's device.

[0150] 3. User (operation on the device)

[0151] Users receive a recipe, check it on the screen, and then cook the dish.

[0152] Prompt Sentence Examples

[0153] Examples of prompts include:

[0154] "What nutrients are necessary to improve fatigue?"

[0155] "Please tell me some easy recipes using ingredients that are rich in vitamin B1, iron, and calcium."

[0156] "Generate a recipe using the following ingredients: pork, spinach, and dairy."

[0157] This system allows users to easily prepare the optimal meals according to their current health condition, making it easier to manage nutrition in daily life and potentially improving their health.

[0158] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0159] Step 1:

[0160] The user launches the application on their smartphone or computer and logs in. The login screen appears and the user enters their username and password. Once the input is complete, they press the login button. This input data (username and password) is sent to the server, where authentication takes place. The server queries the database to verify the authentication information. If authentication is successful, the user can proceed to the health status input screen.

[0161] Step 2:

[0162] On the health condition input screen, the user selects their physical condition from a list of conditions (e.g., fatigue, rough skin, constipation, etc.). Once selection is complete, the user presses the "Send" button. This selection information is sent to the server. The server receives the condition data sent by the user and analyzes its contents.

[0163] Step 3:

[0164] The server sends a query to the database based on the symptom data submitted by the user. This query is to identify the nutrients (e.g., vitamin B1, iron, calcium, etc.) needed for the corresponding symptom (e.g., "easily tired"). The database returns the nutrient information. The server receives this data and creates a list of nutrients needed to correspond to the symptom.

[0165] Step 4:

[0166] The server then queries the database again to obtain a list of ingredients that are high in the specified nutrients. The database returns the ingredient information, and the server creates a list of these ingredients. Specifically, it obtains ingredients that are high in vitamin B1 (e.g., pork), ingredients that are high in iron (e.g., spinach), and ingredients that are high in calcium (e.g., dairy products).

[0167] Step 5:

[0168] The server generates a recipe based on the obtained ingredient list and the identified nutrients. In this process, the server uses a generative AI model (e.g., GPT-3). A prompt is input to this model. For example, "Please generate a simple recipe that contains vitamin B1, iron, and calcium." The generative AI model generates a text recipe based on the prompt, and the server receives it.

[0169] Step 6:

[0170] The server converts the generated recipe into PDF format using a Python library to format the generated text as a PDF document that includes the recipe title, ingredients needed, cooking instructions, etc.

[0171] Step 7:

[0172] The server converts the recipe into PDF format and sends it to the user's device. This is done via email or in-app notification. The user's device receives the recipe data and displays it on the screen.

[0173] Step 8:

[0174] The user opens and views the recipe sent to the device. Specifically, the user checks the recipe within the application and refers to the necessary ingredients and cooking steps. The user can then cook the dish based on this recipe.

[0175] (Application example 1)

[0176] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0177] In modern society, irregular eating habits and poor nutritional balance due to busy lifestyles have become serious problems. In addition, it is difficult for individuals to choose appropriate meals according to their individual health conditions, and maintaining an effective diet is particularly important when physical ailments occur repeatedly. There is also a demand for convenience and rapid delivery of meals. Therefore, a system is needed that proposes recipes based on the user's health condition and quickly delivers meals prepared based on those recipes.

[0178] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0179] In this invention, the server includes a means for identifying necessary nutrients based on a physical condition selected by the user, a means for acquiring a list of ingredients rich in the identified nutrients, a means for generating recipes based on the list of ingredients and combining them with appropriate cooking methods, and a delivery means for providing meals cooked based on the generated recipes. This makes it possible to propose optimal meals according to the individual user's health condition and deliver them quickly.

[0180] "Physical ailments selected by the user" refers to the user inputting information about their physical condition and selecting a specific ailment (e.g., fatigue, rough skin, constipation, etc.).

[0181] "Means for identifying necessary nutrients" refers to a method or technology for identifying, from a database, etc., the nutrients needed to improve a physical condition selected by the user.

[0182] "Means for obtaining a list of ingredients rich in nutrients" refers to a method or technology for searching a database for ingredients rich in a specified nutrient and obtaining the list.

[0183] "Means for generating a recipe combined with an appropriate cooking method" refers to a method or technology for creating a recipe based on an acquired list of ingredients by combining steps for appropriately cooking them.

[0184] "Means for providing the generated recipe to the user" refers to a method or technology for displaying or transmitting the generated recipe to the user.

[0185] "Delivery means for providing meals prepared based on the generated recipe" refers to the method or technology for delivering meals prepared based on the generated recipe to a location specified by the user.

[0186] The following system configuration and processing flow will be described as an embodiment of the present invention.

[0187] The system mainly consists of three main components: user terminals, servers, and databases.

[0188] User Device

[0189] The user terminal is the device through which the user accesses the system and inputs information about their physical condition. For example, a smartphone or tablet would be an example. The user launches the application on the terminal, logs in, and selects and inputs their health condition (e.g., fatigue, rough skin, constipation, etc.). This information is sent to the server.

[0190] server

[0191] The server identifies the nutrients needed to treat the illness based on the data received from the user and retrieves a list of ingredients that contain them. The server uses the Flask framework in Python and SQLite as the database. This server performs the following tasks:

[0192] 1. Receive data about physical conditions sent by users.

[0193] 2. Query the database to identify nutrients associated with the disorder.

[0194] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[0195] 4. Generate recipes based on combinations of ingredients and cooking methods.

[0196] 5. The generated recipe is sent back to the user's device.

[0197] 6. Additionally, deliveries are made to provide meals prepared based on recipes.

[0198] Database

[0199] The database stores various nutrients, ingredients rich in them, and suitable recipes. The server accesses this database to obtain the necessary information.

[0200] Specific examples

[0201] Below is a concrete example of how this system works:

[0202] Example 1: If the user selects "I get tired easily"

[0203] 1. User (operation on device)

[0204] The user opens the app and logs in.

[0205] Select "easily tired" from the list of physical ailments and submit.

[0206] 2. Server

[0207] The server receives the information sent by the user that "I get tired easily."

[0208] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[0209] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[0210] Generate a recipe for "Stir-fried Pork and Spinach" using these ingredients.

[0211] Title: "Stir-fried pork and spinach"

[0212] Ingredients needed: Pork, spinach, salt, pepper, oil

[0213] Cooking Instructions:

[0214] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[0215] 2. Add oil to a frying pan and fry the pork.

[0216] 3. Once the meat is cooked through, add the spinach and continue to stir fry.

[0217] 4. Season with salt and pepper.

[0218] The generated recipe is sent to the user's device.

[0219] When an order is placed, it is cooked according to the recipe and delivered.

[0220] Prompt Sentence Examples

[0221] "The user selects their skin condition. In this case, we provide ingredients and recipes that are rich in vitamin C and zinc."

[0222] This makes it easy to provide optimal meals according to the user's health condition, making it easier to manage nutrition in daily life. In addition, adding a delivery function will further enhance user convenience.

[0223] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0224] Step 1:

[0225] The user uses a terminal to launch the application and log in. User authentication information is required as input, and a message indicating authentication success or failure is displayed as output.

[0226] Step 2:

[0227] The user selects and inputs their physical condition in the application on the device. The input requires the selection of a health condition (e.g., easily fatigued, rough skin, constipation, etc.), and the selection is ready to be sent to the server as output.

[0228] Step 3:

[0229] The terminal transmits the inputted malfunction data to the server. The selected malfunction data is required as input, and the malfunction data is transmitted to the server as output.

[0230] Step 4:

[0231] The server receives the user's complaint data. As input, the user's complaint data is required, and as output, this data is stored in the server's temporary memory.

[0232] Step 5:

[0233] The server queries the database to identify nutrients associated with the received illness data. The illness data is required as input, and a list of identified nutrients is obtained as output. Specifically, the nutrient data is extracted using an SQL query.

[0234] Step 6:

[0235] The server retrieves a list of ingredients that are rich in the specified nutrients from the database. The server receives the list of nutrients as input and retrieves the corresponding list of ingredients as output.

[0236] Step 7:

[0237] The server generates a recipe based on the acquired ingredient list, combining it with an appropriate cooking method. The ingredient list is required as input, and the generated recipe data is generated as output. A recipe generation algorithm is used to process the data.

[0238] Step 8:

[0239] The server sends the generated recipe to the user terminal, which requires the generated recipe data as input and displays the recipe on the user terminal as output.

[0240] Step 9:

[0241] The user checks the recipe on the device and orders food delivery if necessary. The inputs are the recipe checking and ordering interfaces, and the output is the order data sent to the server.

[0242] Step 10:

[0243] The server outputs cooking instructions based on the received order data and arranges for delivery to provide the meal. Order data is required as input, and delivery and cooking instructions are sent to the restaurant or delivery company as output.

[0244] This will enable the system to suggest optimal meals based on the user's health condition and deliver them quickly.

[0245] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0246] As an embodiment of the present invention, a system for providing recipes that take into account a user's health and emotional state will be described. This system includes a function for identifying necessary nutrients based on a physical condition selected by the user and generating recipes using ingredients containing those nutrients. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, more personalized recipes can be provided.

[0247] System Overview

[0248] The system consists of the following main components:

[0249] 1. User Device

[0250] 2. Server

[0251] 3. Database

[0252] 4. Emotion Engine

[0253] User Device

[0254] The user terminal is a device that allows users to access the system and input their physical ailments and emotional state. By inputting their health condition (e.g., fatigue, rough skin, constipation, etc.) and emotional state (e.g., stress, happiness, etc.), the system will suggest ingredients and cooking methods that will replenish the corresponding nutrients.

[0255] Processing flow (user)

[0256] 1. The user launches the application and logs in.

[0257] 2. Select and enter the appropriate physical condition from the list of physical conditions.

[0258] 3. Select and enter your emotional state.

[0259] 4. Click the "Submit" button to send the input to the server.

[0260] server

[0261] Based on the data received from the user, the server identifies the nutrients necessary for the illness and obtains a list of ingredients that contain them. It then analyzes the user's emotional state using an emotion engine, generates an appropriate recipe, and sends it back to the user's device.

[0262] Processing flow (server)

[0263] 1. Receive data about physical discomfort and emotional state sent by the user. For example, receive information about "easily tired" and "stressed."

[0264] 2. Query the database to identify nutrients (vitamin B1, iron, calcium, etc.) associated with the disorder.

[0265] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[0266] 4. The emotion engine analyzes the user's emotion data and adjusts the priority of nutrients, while simultaneously selecting complementary ingredients and cooking methods based on the emotion data.

[0267] 5. Generate recipes based on combinations of ingredients and cooking methods.

[0268] 6. Send the generated recipe to the user device.

[0269] Emotion Engine

[0270] The emotion engine recognizes the user's emotions and customizes recipes based on that, for example, if the user is feeling stressed, it will recommend ingredients and menu items that will have a relaxing effect.

[0271] Database

[0272] The database stores various nutrients, foods rich in them, suitable recipes, and data related to emotions. The server accesses this database to retrieve the necessary information.

[0273] Specific examples

[0274] Example 1: If the user selects "easily tired" and "stressed"

[0275] 1. User (operation on device)

[0276] The user opens the app and logs in.

[0277] Select "tired easily" from the list of physical ailments, and select "stress" from the emotional state and send.

[0278] 2. Server

[0279] The server receives information such as "easily tired" and "stressed" sent by the user.

[0280] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[0281] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[0282] The emotion engine receives "stress" and takes into account ingredients and cooking methods that have a relaxing effect (e.g., cooking using herbal tea or aromatic oils).

[0283] Based on this data, a recipe for "Stir-fried pork and spinach with herbs" is generated.

[0284] Title: "Stir-fried pork and spinach with herbs"

[0285] Ingredients needed: Pork, spinach, herbs, salt, pepper, oil

[0286] Cooking Instructions:

[0287] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[0288] 2. Add oil to a frying pan and fry the pork.

[0289] 3. Once the meat is cooked through, add the spinach and herbs and continue to stir fry.

[0290] 4. Season with salt and pepper.

[0291] The generated recipe is sent to the user's device.

[0292] 3. User (operation on the device)

[0293] The user receives the recipe and checks it on the screen.

[0294] Cook according to the recipe and enjoy the meal while hoping for a relaxing effect.

[0295] This system allows users to prepare the optimal meal based on their current health and emotional state. By combining it with an emotion engine, it is possible to suggest meals that take into account not only nutritional requirements but also psychological satisfaction and relaxation.

[0296] The processing flow will be explained below.

[0297] Step 1:

[0298] The user launches the application and logs in. On the app's home screen, the user selects the physical condition they wish to improve.

[0299] Step 2:

[0300] The user selects a specific symptom from a list, such as "easily tired," enters an emotional state, such as "stress," and presses the "Submit" button to send the selection to the server.

[0301] Step 3:

[0302] The server receives the data on the user's condition and emotions. For example, it receives information such as "easily tired" and "stressed."

[0303] Step 4:

[0304] The server queries the database to identify necessary nutrients (such as vitamin B1, iron, and calcium) associated with "easily fatigued."

[0305] Step 5:

[0306] The server retrieves from the database a list of ingredients that are rich in the specified nutrients, such as pork, which is rich in vitamin B1, spinach, which is rich in iron, and dairy products, which are rich in calcium.

[0307] Step 6:

[0308] The server uses an emotion engine to analyze the user's emotional state (e.g., stress) and adjusts nutrient priorities and complementary ingredients.

[0309] Step 7:

[0310] The server chooses a complementary recipe based on your emotional state and combines it with the ingredients you've acquired, for example, using herbs that have a relaxing effect.

[0311] Step 8:

[0312] The server generates the optimal recipe, for example, "Stir-fried pork and spinach with herbs."

[0313] Title: "Stir-fried pork and spinach with herbs"

[0314] Ingredients needed: Pork, spinach, herbs, salt, pepper, oil

[0315] Cooking Instructions:

[0316] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[0317] 2. Add oil to a frying pan and fry the pork.

[0318] 3. Once the meat is cooked through, add the spinach and herbs and continue to stir fry.

[0319] 4. Season with salt and pepper.

[0320] Step 9:

[0321] The server sends the generated recipe to the user's device.

[0322] Step 10:

[0323] The device analyzes the recipe data it receives and displays it in a format that is easy for the user to read.

[0324] Step 11:

[0325] The user checks the recipe screen and prepares the dish according to the recipe presented. If there is anything they don't understand while cooking, they can refer to supplementary information or video explanations within the app.

[0326] Example 2

[0327] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0328] In modern society, many people live with stress and discomfort. This creates a demand for meal suggestions that are suited to each individual's health and emotional state. However, conventional recipe suggestion systems are unable to take the user's emotional state into account, and do not adequately suggest meals that provide psychological satisfaction or relaxation. To solve this problem, a system is needed that suggests recipes that simultaneously consider the user's health and emotional state.

[0329] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0330] In this invention, the server includes a means for identifying nutrients needed based on a physical condition selected by the user, a means for acquiring a list of ingredients rich in the identified nutrients, a means for recognizing and analyzing the user's emotional state, and a means for customizing recipes based on the analysis, thereby enabling nutritionally balanced recipes to be proposed according to the user's health and emotional state, as well as meal suggestions that take into consideration psychological satisfaction and relaxation.

[0331] A "user" is someone who uses the system to input their own health and emotional state and receives suggested recipes.

[0332] "Physical discomfort" refers to problems or symptoms related to the user's health, including, for example, fatigue, constipation, and skin problems.

[0333] "Necessary nutrients" refers to nutritional components such as vitamins and minerals that are necessary to improve the user's physical condition.

[0334] "Ingredient list" refers to a list of ingredients that contain a lot of a particular nutrient.

[0335] "Cooking method" refers to the steps and methods for processing and cooking ingredients.

[0336] A "recipe" is a set of instructions for preparing a dish using specific ingredients and cooking methods.

[0337] "Emotional state" refers to the emotions or psychological state a user is feeling, and examples include stress, happiness, etc.

[0338] "Emotion engine" refers to software or hardware functionality for recognizing and analyzing a user's emotional state.

[0339] "Customize" refers to changing or adjusting content based on a user's specific conditions or state.

[0340] As an embodiment of the present invention, we will describe a system that provides recipes that take into account the user's health and emotional state. This system includes a function that identifies necessary nutrients based on physical ailments selected by the user and generates recipes using ingredients containing those nutrients. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, we can provide more personalized recipes.

[0341] System Overview

[0342] The system consists of the following main components:

[0343] 1. User Device

[0344] 2. Server

[0345] 3. Database

[0346] 4. Emotion Engine

[0347] User Device

[0348] The user terminal is a device through which users can access the system and input their physical ailments and emotional state. By inputting their health condition (e.g., fatigue, rough skin, constipation, etc.) and emotional state (e.g., stress, happiness, etc.), the system can suggest ingredients and cooking methods that will replenish the relevant nutrients.

[0349] The user launches the application from their device and logs in. They select and enter the relevant physical ailment from a list, select and enter their emotional state, and then press the "Send" button to send the data to the server.

[0350] server

[0351] Based on the data received from the user, the server identifies the nutrients necessary for the illness and obtains a list of ingredients that contain them. It then analyzes the user's emotional state using an emotion engine, generates an appropriate recipe, and sends it back to the user's device.

[0352] The server first receives data on the user's physical ailments and emotional state, queries the database to identify nutrients related to the ailment, and retrieves a list of ingredients rich in the identified nutrients from the database. The emotion engine analyzes the user's emotional data, adjusts the priority of nutrients, and selects complementary ingredients and cooking methods based on the emotional data. Finally, a recipe based on the combination of ingredients and cooking methods is generated and sent to the user's device.

[0353] Emotion Engine

[0354] The emotion engine recognizes the user's emotions and customizes recipes based on them. For example, if the user is feeling stressed, it will recommend ingredients and menu items that have a relaxing effect. The emotion engine uses advanced algorithms to analyze emotional data and respond to the user's psychological needs at that time.

[0355] Database

[0356] The database stores data related to various nutrients, ingredients that contain them, appropriate recipes, and emotions. The server accesses this database to obtain the necessary information. The database contains detailed records of the effects of each nutrient, ingredient information, and cooking methods.

[0357] Specific examples

[0358] Example 1: If the user selects "easily tired" and "stressed"

[0359] 1. User (operation on device)

[0360] The user opens the app and logs in.

[0361] Select "tired easily" from the list of physical ailments, and select "stress" from the emotional state and send.

[0362] 2. Server

[0363] The server receives information such as "easily tired" and "stressed" sent by the user.

[0364] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[0365] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[0366] The emotion engine receives "stress" and takes into account ingredients and cooking methods that have a relaxing effect (e.g., cooking using herbal tea or aromatic oils).

[0367] Based on this data, a recipe for "Stir-fried pork and spinach with herbs" is generated.

[0368] Title: "Stir-fried pork and spinach with herbs"

[0369] Ingredients needed: Pork, spinach, herbs, salt, pepper, oil

[0370] Cooking Instructions:

[0371] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[0372] 2. Add oil to a frying pan and fry the pork.

[0373] 3. Once the meat is cooked through, add the spinach and herbs and continue to stir fry.

[0374] 4. Season with salt and pepper.

[0375] The generated recipe is sent to the user's device.

[0376] 3. User (operation on the device)

[0377] The user receives the recipe and checks it on the screen.

[0378] Cook according to the recipe and enjoy the meal while hoping for a relaxing effect.

[0379] Example prompts to input to the generative AI model

[0380] The following prompts can be used:

[0381] "Based on the user's fatigue level and stress level, generate recipes that take into account the nutrients they need, a list of ingredients that contain them, and cooking methods that will have a relaxing effect."

[0382] "Considering the user's condition as fatigue and their emotional state as stress, please tell me recipes for dishes that have a relaxing effect using ingredients containing vitamin B1, iron, and calcium."

[0383] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0384] Step 1:

[0385] The user launches the application and logs in.

[0386] Specific behavior:

[0387] The application login screen appears.

[0388] The user enters their login credentials (username and password) and clicks the "Login" button.

[0389] The login data is sent to the server, where the user is authenticated.

[0390] After successful authentication, the following screen will be displayed on the user's device.

[0391] Input and Output:

[0392] Input: Username and Password

[0393] Output: User authentication result (success or failure)

[0394] Step 2:

[0395] The user inputs and submits their physical condition and emotional state.

[0396] Specific behavior:

[0397] Once you have successfully logged in, a screen will appear where you can enter your symptoms and emotions.

[0398] The user selects check boxes such as "easily tired" or "stressed" and clicks the "Submit" button.

[0399] The user's selections are sent to the server in JSON format.

[0400] Input and Output:

[0401] Input: Physical discomfort items and emotional state items

[0402] Output: A JSON request containing the user's selections.

[0403] Step 3:

[0404] The server analyzes the data received from the user and identifies the nutrients needed.

[0405] Specific behavior:

[0406] The server analyzes the received data in JSON format and recognizes that the symptoms are "easily tired" and "stressed."

[0407] An SQL query is run against the database to search for nutrients (vitamin B1, iron, calcium, etc.) related to the symptom of "easily tired."

[0408] The database returns the relevant nutrient information to the server.

[0409] Input and Output:

[0410] Input: User selection data in JSON format

[0411] Output: List of relevant nutrients

[0412] Step 4:

[0413] The server obtains a list of ingredients containing the specified nutrients.

[0414] Specific behavior:

[0415] The server obtains a list of ingredients rich in each nutrient from the database.

[0416] Run an SQL query against the database to find ingredients that correspond to the nutrients.

[0417] The database returns the relevant ingredient information to the server.

[0418] Input and Output:

[0419] Input: List of relevant nutrients

[0420] Output: List of foods rich in nutrients

[0421] Step 5:

[0422] The emotional engine analyzes your emotional state and customizes the recipe.

[0423] Specific behavior:

[0424] The emotion engine receives and analyzes emotional data called "stress."

[0425] The emotional engine identifies ingredients and cooking methods that have a relaxing effect (e.g. herbal tea, aromatic oils).

[0426] The server updates the ingredient list and adjusts priorities based on the results of the emotion engine.

[0427] Input and Output:

[0428] Input: Emotional state data

[0429] Output: A list of ingredients and recipes that take relaxation into consideration

[0430] Step 6:

[0431] The server generates a recipe based on the ingredients and cooking method.

[0432] Specific behavior:

[0433] The server generates a recipe based on the ingredients and cooking method specified (e.g., "Stir-fried pork and spinach with herbs").

[0434] Generate recipe title, ingredients needed, and cooking steps.

[0435] Input and Output:

[0436] Input: Ingredient list and recipe list

[0437] Output: Specific recipe information

[0438] Step 7:

[0439] The server sends the generated recipe to the user's device.

[0440] Specific behavior:

[0441] The generated recipe data (title, required ingredients, cooking instructions) is sent to the user's device in JSON format.

[0442] The recipe will be displayed on the user's device and can be checked.

[0443] Input and Output:

[0444] Input: Recipe information

[0445] Output: Recipe display on user's device

[0446] Step 8:

[0447] The user receives and displays the recipe.

[0448] Specific behavior:

[0449] The recipe is displayed in an application on the user's device.

[0450] The user opens the recipe and sees the ingredients and cooking steps needed.

[0451] The user starts cooking according to the recipe and completes the dish.

[0452] Input and Output:

[0453] Input: Recipe display data

[0454] Output: User recipe browsing and cooking preparation

[0455] Through this series of processing steps, the user can receive optimal meal suggestions based on their current health and emotional state.

[0456] (Application example 2)

[0457] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0458] In modern society, there is a demand for meal suggestions that take into account the user's health and emotional state, but there are very few systems that provide recipes that individually address these conditions. Furthermore, conventional systems cannot customize recipes that take the user's emotional state into account or provide cooking support in a virtual environment, resulting in a lack of convenience and satisfaction for users.

[0459] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0460] In this invention, the server includes means for identifying nutrients needed based on a physical condition selected by the user, means for acquiring a list of ingredients rich in the identified nutrients, means for generating a recipe based on the list of ingredients and combining it with an appropriate cooking method, means for providing the generated recipe to the user, means for recognizing the user's emotional state, means for customizing the recipe based on the emotional state, and means for providing interactive cooking support to the user in a virtual space. This enables the provision of optimal recipes tailored to the user's health and emotional state, and an interactive cooking experience in a virtual space.

[0461] "Physical discomfort" refers to any poor physical condition or health problems experienced by the user.

[0462] The "means for identifying necessary nutrients" refers to a method or device for identifying the appropriate nutritional components for the user's physical condition.

[0463] The "means for obtaining a list of ingredients" refers to a method or device for collecting or obtaining a list of ingredients that are rich in a specified nutrient.

[0464] The "means for generating a recipe" refers to a method or device for creating a cooking recipe by combining the acquired ingredient list and cooking method.

[0465] "Means for providing a recipe to a user" refers to a method or device for transmitting and presenting a generated recipe to a user terminal or the like.

[0466] "Emotional state" refers to the user's psychological emotional or mood state.

[0467] The "means for recognizing an emotional state" is a method or device for detecting a user's emotions and understanding their state.

[0468] A "means for customizing a recipe" is a method or device for adjusting the recipe content based on the user's emotional state and providing it in an optimal form for the user.

[0469] A "means for providing interactive cooking support in a virtual space" is a method or device for providing real-time assistance and guidance to a user while cooking in a virtual environment.

[0470] A "server" is a computer system that receives information from a user, performs the necessary processing, and provides the results to the user.

[0471] The present invention provides a system that provides recipes based on the user's health and emotional state and provides interactive cooking support in a virtual space. Specifically, the system is implemented in the following steps.

[0472] System Overview

[0473] The system consists of the following main components:

[0474] 1. User terminal: A device where the user inputs information and receives recipes.

[0475] 2. Server: A computer system that processes data from users and generates recipes.

[0476] 3. Database: A storage system that stores nutrients, ingredients, recipes, and sentiment data.

[0477] 4. Emotion Engine: It has the ability to recognize the user's emotional state and customize recipes based on that.

[0478] User Device

[0479] The user terminal uses a device such as an HMD (head-mounted display). The user inputs their health condition (e.g., fatigue, rough skin, constipation, etc.) and emotional state (e.g., stress, happiness, etc.), and is also used for an interactive cooking experience in a virtual space.

[0480] Processing flow (user)

[0481] 1. The user launches the application and logs in.

[0482] 2. Select and enter the appropriate physical condition from the list of physical conditions.

[0483] 3. Recognize emotional states using input devices and image analysis.

[0484] 4. Click the Send button to send the input to the server.

[0485] server

[0486] Based on the data received from the user, the server identifies the nutrients needed to treat the illness and retrieves a list of ingredients that contain them.The server also uses an emotion engine to analyze the user's emotional state, generating an appropriate recipe and sending it back to the user's device.

[0487] Processing flow (server)

[0488] 1. Receive health and emotional state data submitted by users.

[0489] 2. Query the database to identify nutrients associated with ailments.

[0490] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[0491] 4. The emotion engine analyzes the user's emotion data and adjusts the priority of nutrients, while simultaneously selecting complementary ingredients and cooking methods based on the emotion data.

[0492] 5. Generate recipes based on combinations of ingredients and cooking methods.

[0493] 6. Send the generated recipe to the user device.

[0494] Emotion Engine

[0495] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state. For example, if the user is feeling stressed, it will recommend foods and menus that have a relaxing effect.

[0496] Database

[0497] The database stores various nutrients, foods rich in them, suitable recipes, and data related to emotions. The server accesses this database to retrieve the necessary information.

[0498] Specific examples

[0499] Example 1: If the user selects "easily tired" and "stressed"

[0500] 1. User (operation on device)

[0501] The user opens the app and logs in.

[0502] Select "tired easily" from the list of physical ailments, and select "stress" from the emotional state and send.

[0503] 2. Server

[0504] The server receives information such as "easily tired" and "stressed" sent by the user.

[0505] Identify the nutrients necessary for fatigue recovery from the database.

[0506] Get a list of foods that are high in each nutrient.

[0507] The emotional engine receives the "stress" and considers ingredients and cooking methods that have a relaxing effect.

[0508] A recipe is generated based on this data.

[0509] The generated recipe is sent to the user's device.

[0510] 3. User (operation on the device)

[0511] The user receives the recipe and checks it on the screen.

[0512] Cook according to the recipe and enjoy your meal while also hoping for a relaxing effect.

[0513] Prompt Sentence Examples

[0514] "My physical condition is 'I get tired easily' and my emotional state is 'stressed.' Based on this, please recommend some recipes that are both nutritious and relaxing."

[0515] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0516] Step 1:

[0517] The user starts up the device and logs in to the application. The user's login information (username and password) is required as input, and the main screen is displayed as output if the login is successful. The entered login information is checked against the authentication server, and if it is correct, the user's profile information is obtained and displayed on the main screen.

[0518] Step 2:

[0519] The user selects and inputs the relevant physical complaint from a list of physical complaints. The input requires the user's selected physical complaint (e.g., "easily tired"), and the output is sent to the server. The user selects the physical complaint using drop-down menus and check boxes, and prepares it to be sent to the database.

[0520] Step 3:

[0521] The user inputs their emotional state, or the device's camera is used to recognize their emotional state through image analysis. The input requires the user's emotional state (e.g., "stress") or a face image, and the emotional state data is sent to the server as output. The image data from the camera is analyzed by an emotion engine (using TENSORFLOW (registered trademark)) and a tag for the emotional state (e.g., "stress") is obtained.

[0522] Step 4:

[0523] The server receives data about physical symptoms and emotional states sent by the user. As input, the user's physical symptoms and emotional state data are required, and as output, these data are stored internally on the server. The server receives the HTTP request and stores the data in an appropriate format.

[0524] Step 5:

[0525] The server queries the database to identify nutrients associated with disorders. It requires physical disorder data as input and a list of identified nutrients as output. The server queries the database table and extracts nutrients (e.g., vitamins, minerals) associated with the specified disorder.

[0526] Step 6:

[0527] The server retrieves a list of ingredients that are high in the specified nutrients from the database. It takes the list of specified nutrients as input and gets the list of ingredients as output. The server queries another table in the database to list ingredients that are high in each nutrient.

[0528] Step 7:

[0529] The emotion engine analyzes the user's emotional data and adjusts the priority of nutrients. At the same time, it selects complementary ingredients and cooking methods based on the emotional data. It requires the user's emotional state and a list of nutrients as input, and provides a prioritized list of ingredients and cooking methods as output. The emotion engine uses a TensorFlow model to analyze the emotional data and select ingredients with a relaxing effect and appropriate cooking methods.

[0530] Step 8:

[0531] The server generates recipes based on combinations of ingredients and cooking methods. It requires a prioritized list of ingredients and cooking methods as input, and the completed recipe as output. The server uses a recipe generation algorithm to create a specific recipe (title, required ingredients, cooking steps) for each combination of ingredients and cooking methods.

[0532] Step 9:

[0533] The server sends the generated recipe to the user device. It requires the generated recipe as input and sends the recipe data to the user device as output. The server converts the recipe data into an appropriate format and sends it to the user device as an HTTP response.

[0534] Step 10:

[0535] The user receives the recipe and checks it on the device screen. The received recipe data is required as input, and the recipe content is displayed on the user's screen as output. The user uses the virtual kitchen environment to cook while following visual and audio guidance.

[0536] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0537] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0538] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0539] [Second embodiment]

[0540] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0541] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0542] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0543] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0544] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0545] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0546] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0547] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0548] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0549] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0550] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0551] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0552] As an embodiment of the present invention, a system for providing recipes that take into account a user's health condition will be described. This system has a function for identifying necessary nutrients based on a physical condition selected by the user and generating recipes using ingredients containing those nutrients.

[0553] System Overview

[0554] The system consists of the following main components:

[0555] 1. User Device

[0556] 2. Server

[0557] 3. Database

[0558] User Device

[0559] The user terminal is a device that allows users to access the system and input their physical condition. By inputting their own health condition (e.g., fatigue, rough skin, constipation, etc.), the system will suggest ingredients and cooking methods that will replenish the relevant nutrients.

[0560] Processing flow (user)

[0561] 1. The user launches the application and logs in.

[0562] 2. Select and enter the appropriate physical condition from the list of physical conditions.

[0563] 3. Click the "Submit" button to send the input to the server.

[0564] server

[0565] Based on the data received from the user, the server identifies the nutrients necessary for the illness, obtains a list of ingredients that contain those nutrients, and then generates an appropriate recipe and sends it back to the user's device.

[0566] Processing flow (server)

[0567] 1. Receive data about physical conditions sent by users.

[0568] 2. Query the database to identify nutrients associated with the disorder.

[0569] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[0570] 4. Generate recipes based on combinations of ingredients and cooking methods.

[0571] 5. Send the generated recipe to the user device.

[0572] Database

[0573] The database stores various nutrients, ingredients rich in them, and suitable recipes. The server accesses this database to obtain the necessary information.

[0574] Specific examples

[0575] Example 1: If the user selects "I get tired easily"

[0576] 1. User (operation on device)

[0577] The user opens the app and logs in.

[0578] Select "easily tired" from the list of physical ailments and submit.

[0579] 2. Server

[0580] The server receives the information sent by the user that "I get tired easily."

[0581] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[0582] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[0583] Generate a recipe for "Stir-fried Pork and Spinach" using these ingredients.

[0584] Title: "Stir-fried pork and spinach"

[0585] Ingredients needed: Pork, spinach, salt, pepper, oil

[0586] Cooking Instructions:

[0587] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[0588] 2. Add oil to a frying pan and fry the pork.

[0589] 3. Once the meat is cooked through, add the spinach and continue to stir fry.

[0590] 4. Season with salt and pepper.

[0591] The generated recipe is sent to the user's device.

[0592] 3. User (operation on the device)

[0593] The user receives the recipe and checks it on the screen.

[0594] Cook the food according to the recipe.

[0595] This system allows users to easily prepare the optimal meals according to their current health condition, which will also facilitate nutritional management in daily life and lead to improved health.

[0596] The processing flow will be explained below.

[0597] Step 1:

[0598] The user launches the application and logs in. On the app's home screen, the user selects the physical condition they wish to improve.

[0599] Step 2:

[0600] The user selects a specific symptom from the list, such as "easily tired," and presses the "Submit" button to send the selection to the server.

[0601] Step 3:

[0602] The server receives data on the user's condition, such as "I get tired easily."

[0603] Step 4:

[0604] The server queries the database to identify necessary nutrients (such as vitamin B1, iron, and calcium) associated with "easily fatigued."

[0605] Step 5:

[0606] The server retrieves a list of ingredients based on nutrients from a database, such as pork, which is rich in vitamin B1, spinach, which is rich in iron, and dairy products, which are rich in calcium.

[0607] Step 6:

[0608] The server searches for an appropriate recipe based on the list of ingredients it has retrieved. For example, it generates a recipe for "Stir-fried pork and spinach" using pork and spinach.

[0609] Step 7:

[0610] The server-generated recipe contains the following information:

[0611] Title: "Stir-fried pork and spinach"

[0612] Ingredients needed: Pork, spinach, salt, pepper, oil

[0613] Cooking Instructions:

[0614] 1. Cut the pork into small pieces.

[0615] 2. Wash the spinach and cut it into bite-sized pieces.

[0616] 3. Add oil to a frying pan and fry the pork.

[0617] 4. Once the meat is cooked, add the spinach and continue to stir fry.

[0618] 5. Season with salt and pepper.

[0619] Step 8:

[0620] The server sends the generated recipe to the user's device.

[0621] Step 9:

[0622] The device analyzes the recipe data it receives and displays it in a format that is easy for the user to read.

[0623] Step 10:

[0624] The user checks the recipe screen and prepares the dish according to the recipe presented. If there is anything they don't understand while cooking, they can refer to supplementary information or video explanations within the app.

[0625] Example 1

[0626] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0627] In today's busy lifestyles, people tend to neglect their own health management. As a result, health conditions often deteriorate due to nutritional imbalances. Current recipe provision systems lack customization based on individual users' health conditions, making it difficult to provide recipes containing the optimal nutrients for specific health issues.

[0628] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0629] In this invention, the server includes means for identifying necessary nutrients based on a physical condition selected by the user, means for acquiring a list of ingredients rich in the identified nutrients, means for generating recipes based on the ingredient list and combining them with appropriate cooking methods, means for generating the generated recipes using a natural language processing model, and means for converting the generated recipes into PDF format and sending them to a user terminal. This allows users to easily obtain optimal recipes tailored to their own health condition, facilitating nutritional management in their daily lives.

[0630] "Means for identifying nutrient needs based on a user-selected physical condition" refers to a device or software that analyzes health status data entered by a user and identifies appropriate nutrients.

[0631] The "means for obtaining a list of ingredients that are rich in the identified nutrients" refers to a device or software for searching a database for ingredients that correspond to the identified nutrients and obtaining them as a list.

[0632] The "means for generating a recipe that combines appropriate cooking methods based on the ingredient list" refers to a device or software that uses the acquired ingredients and combines the corresponding cooking procedures to create a recipe.

[0633] The "means for generating the generated recipe using a natural language processing model" refers to a device or software for generating a text-format recipe from input data using natural language processing techniques.

[0634] "Means for converting the generated recipe into PDF format and sending it to the user terminal" refers to a device or software for converting the generated recipe into PDF format and sending it to the user terminal.

[0635] "Means for users to input said physical discomfort using a terminal" refers to a device or software that allows users to input health status data through a computer or mobile device they use.

[0636] "Recipes are customized based on the user's health status" refers to the feature that creates recipes using specific nutrients and ingredients tailored to individual needs based on the health data entered by the user.

[0637] MODE FOR CARRYING OUT THE INVENTION

[0638] As an embodiment of the present invention, a system that provides recipes that take into account the user's health condition will be described. This system has the function of identifying necessary nutrients based on a physical condition selected by the user and generating recipes using ingredients that are rich in those nutrients. The main components of this system are as follows:

[0639] User Device

[0640] The user terminal is the device through which the user accesses the system and inputs information about their physical condition. Specifically, this includes smartphones, tablets, and PCs. After launching the application and logging in, the user selects their condition (e.g., fatigue, rough skin, constipation, etc.) on the health condition input screen. The selected information is sent to the server by pressing the "Send" button.

[0641] server

[0642] The server analyzes the data received from the user and generates the optimal recipe based on the user's health condition. The server is built using Python-based Flask and has the ability to process the received user data.

[0643] The server first identifies the nutrients needed based on the symptoms entered by the user. In this case, it sends a query to a database (PostgreSQL) to identify the relevant nutrients. Next, it retrieves a list of ingredients that are rich in the necessary nutrients from the database.

[0644] The server then uses Natural Language Processing (NLP) technology to generate recipes combining ingredients and cooking methods, utilizing generative AI models such as GPT-3, and converts the generated recipes into PDF format and sends them to the user's device.

[0645] Database

[0646] The database stores various nutrients, ingredients rich in them, and suitable recipes. The server accesses this database to obtain the necessary information.

[0647] Specific examples

[0648] Example 1: If the user selects "I get tired easily"

[0649] 1. User (operation on device)

[0650] The user opens the app and logs in.

[0651] Select "easily tired" from the list of physical ailments and submit.

[0652] 2. Server

[0653] The server receives the information sent by the user that "I get tired easily."

[0654] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[0655] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[0656] Generate a recipe for "Stir-fried Pork and Spinach" using these ingredients.

[0657] Title: "Stir-fried pork and spinach"

[0658] Ingredients needed: Pork, spinach, salt, pepper, oil

[0659] Cooking Instructions:

[0660] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[0661] 2. Add oil to a frying pan and fry the pork.

[0662] 3. Once the meat is cooked through, add the spinach and continue to stir fry.

[0663] 4. Season with salt and pepper.

[0664] The generated recipe is converted into PDF format and sent to the user's device.

[0665] 3. User (operation on the device)

[0666] Users receive a recipe, check it on the screen, and then cook the dish.

[0667] Prompt Sentence Examples

[0668] Examples of prompts include:

[0669] "What nutrients are necessary to improve fatigue?"

[0670] "Please tell me some easy recipes using ingredients that are rich in vitamin B1, iron, and calcium."

[0671] "Generate a recipe using the following ingredients: pork, spinach, and dairy."

[0672] This system allows users to easily prepare the optimal meals according to their current health condition, making it easier to manage nutrition in daily life and potentially improving their health.

[0673] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0674] Step 1:

[0675] The user launches the application on their smartphone or computer and logs in. The login screen appears and the user enters their username and password. Once the input is complete, they press the login button. This input data (username and password) is sent to the server, where authentication takes place. The server queries the database to verify the authentication information. If authentication is successful, the user can proceed to the health status input screen.

[0676] Step 2:

[0677] On the health condition input screen, the user selects their physical condition from a list of conditions (e.g., fatigue, rough skin, constipation, etc.). Once selection is complete, the user presses the "Send" button. This selection information is sent to the server. The server receives the condition data sent by the user and analyzes its contents.

[0678] Step 3:

[0679] The server sends a query to the database based on the symptom data submitted by the user. This query is to identify the nutrients (e.g., vitamin B1, iron, calcium, etc.) needed for the corresponding symptom (e.g., "easily tired"). The database returns the nutrient information. The server receives this data and creates a list of nutrients needed to correspond to the symptom.

[0680] Step 4:

[0681] The server then queries the database again to obtain a list of ingredients that are high in the specified nutrients. The database returns the ingredient information, and the server creates a list of these ingredients. Specifically, it obtains ingredients that are high in vitamin B1 (e.g., pork), ingredients that are high in iron (e.g., spinach), and ingredients that are high in calcium (e.g., dairy products).

[0682] Step 5:

[0683] The server generates a recipe based on the obtained ingredient list and the identified nutrients. In this process, the server uses a generative AI model (e.g., GPT-3). A prompt is input to this model. For example, "Please generate a simple recipe that contains vitamin B1, iron, and calcium." The generative AI model generates a text recipe based on the prompt, and the server receives it.

[0684] Step 6:

[0685] The server converts the generated recipe into PDF format using a Python library to format the generated text as a PDF document that includes the recipe title, ingredients needed, cooking instructions, etc.

[0686] Step 7:

[0687] The server converts the recipe into PDF format and sends it to the user's device. This is done via email or in-app notification. The user's device receives the recipe data and displays it on the screen.

[0688] Step 8:

[0689] The user opens and views the recipe sent to the device. Specifically, the user checks the recipe within the application and refers to the necessary ingredients and cooking steps. The user can then cook the dish based on this recipe.

[0690] (Application example 1)

[0691] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0692] In modern society, irregular eating habits and poor nutritional balance due to busy lifestyles have become serious problems. In addition, it is difficult for individuals to choose appropriate meals according to their individual health conditions, and maintaining an effective diet is particularly important when physical ailments occur repeatedly. There is also a demand for convenience and rapid delivery of meals. Therefore, a system is needed that proposes recipes based on the user's health condition and quickly delivers meals prepared based on those recipes.

[0693] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0694] In this invention, the server includes a means for identifying necessary nutrients based on a physical condition selected by the user, a means for acquiring a list of ingredients rich in the identified nutrients, a means for generating recipes based on the list of ingredients and combining them with appropriate cooking methods, and a delivery means for providing meals cooked based on the generated recipes. This makes it possible to propose optimal meals according to the individual user's health condition and deliver them quickly.

[0695] "Physical ailments selected by the user" refers to the user inputting information about their physical condition and selecting a specific ailment (e.g., fatigue, rough skin, constipation, etc.).

[0696] "Means for identifying necessary nutrients" refers to a method or technology for identifying, from a database, etc., the nutrients needed to improve a physical condition selected by the user.

[0697] "Means for obtaining a list of ingredients rich in nutrients" refers to a method or technology for searching a database for ingredients rich in a specified nutrient and obtaining the list.

[0698] "Means for generating a recipe combined with an appropriate cooking method" refers to a method or technology for creating a recipe based on an acquired list of ingredients by combining steps for appropriately cooking them.

[0699] "Means for providing the generated recipe to the user" refers to a method or technology for displaying or transmitting the generated recipe to the user.

[0700] "Delivery means for providing meals prepared based on the generated recipe" refers to the method or technology for delivering meals prepared based on the generated recipe to a location specified by the user.

[0701] The following system configuration and processing flow will be described as an embodiment of the present invention.

[0702] The system mainly consists of three main components: user terminals, servers, and databases.

[0703] User Device

[0704] The user terminal is the device through which the user accesses the system and inputs information about their physical condition. For example, a smartphone or tablet would be an example. The user launches the application on the terminal, logs in, and selects and inputs their health condition (e.g., fatigue, rough skin, constipation, etc.). This information is sent to the server.

[0705] server

[0706] The server identifies the nutrients needed to treat the illness based on the data received from the user and retrieves a list of ingredients that contain them. The server uses the Flask framework in Python and SQLite as the database. This server performs the following tasks:

[0707] 1. Receive data about physical conditions sent by users.

[0708] 2. Query the database to identify nutrients associated with the disorder.

[0709] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[0710] 4. Generate recipes based on combinations of ingredients and cooking methods.

[0711] 5. The generated recipe is sent back to the user's device.

[0712] 6. Additionally, deliveries are made to provide meals prepared based on recipes.

[0713] Database

[0714] The database stores various nutrients, ingredients rich in them, and suitable recipes. The server accesses this database to obtain the necessary information.

[0715] Specific examples

[0716] Below is a concrete example of how this system works:

[0717] Example 1: If the user selects "I get tired easily"

[0718] 1. User (operation on device)

[0719] The user opens the app and logs in.

[0720] Select "easily tired" from the list of physical ailments and submit.

[0721] 2. Server

[0722] The server receives the information sent by the user that "I get tired easily."

[0723] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[0724] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[0725] Generate a recipe for "Stir-fried Pork and Spinach" using these ingredients.

[0726] Title: "Stir-fried pork and spinach"

[0727] Ingredients needed: Pork, spinach, salt, pepper, oil

[0728] Cooking Instructions:

[0729] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[0730] 2. Add oil to a frying pan and fry the pork.

[0731] 3. Once the meat is cooked through, add the spinach and continue to stir fry.

[0732] 4. Season with salt and pepper.

[0733] The generated recipe is sent to the user's device.

[0734] When an order is placed, it is cooked according to the recipe and delivered.

[0735] Prompt Sentence Examples

[0736] "The user selects their skin condition. In this case, we provide ingredients and recipes that are rich in vitamin C and zinc."

[0737] This makes it easy to provide optimal meals according to the user's health condition, making it easier to manage nutrition in daily life. In addition, adding a delivery function will further enhance user convenience.

[0738] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0739] Step 1:

[0740] The user uses a terminal to launch the application and log in. User authentication information is required as input, and a message indicating authentication success or failure is displayed as output.

[0741] Step 2:

[0742] The user selects and inputs their physical condition in the application on the device. The input requires the selection of a health condition (e.g., easily fatigued, rough skin, constipation, etc.), and the selection is ready to be sent to the server as output.

[0743] Step 3:

[0744] The terminal transmits the inputted malfunction data to the server. The selected malfunction data is required as input, and the malfunction data is transmitted to the server as output.

[0745] Step 4:

[0746] The server receives the user's complaint data. As input, the user's complaint data is required, and as output, this data is stored in the server's temporary memory.

[0747] Step 5:

[0748] The server queries the database to identify nutrients associated with the received illness data. The illness data is required as input, and a list of identified nutrients is obtained as output. Specifically, the nutrient data is extracted using an SQL query.

[0749] Step 6:

[0750] The server retrieves a list of ingredients that are rich in the specified nutrients from the database. The server receives the list of nutrients as input and retrieves the corresponding list of ingredients as output.

[0751] Step 7:

[0752] The server generates a recipe based on the acquired ingredient list, combining it with an appropriate cooking method. The ingredient list is required as input, and the generated recipe data is generated as output. A recipe generation algorithm is used to process the data.

[0753] Step 8:

[0754] The server sends the generated recipe to the user terminal, which requires the generated recipe data as input and displays the recipe on the user terminal as output.

[0755] Step 9:

[0756] The user checks the recipe on the device and orders food delivery if necessary. The inputs are the recipe checking and ordering interfaces, and the output is the order data sent to the server.

[0757] Step 10:

[0758] The server outputs cooking instructions based on the received order data and arranges for delivery to provide the meal. Order data is required as input, and delivery and cooking instructions are sent to the restaurant or delivery company as output.

[0759] This will enable the system to suggest optimal meals based on the user's health condition and deliver them quickly.

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

[0761] As an embodiment of the present invention, a system for providing recipes that take into account a user's health and emotional state will be described. This system includes a function for identifying necessary nutrients based on a physical condition selected by the user and generating recipes using ingredients containing those nutrients. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, more personalized recipes can be provided.

[0762] System Overview

[0763] The system consists of the following main components:

[0764] 1. User Device

[0765] 2. Server

[0766] 3. Database

[0767] 4. Emotion Engine

[0768] User Device

[0769] The user terminal is a device that allows users to access the system and input their physical ailments and emotional state. By inputting their health condition (e.g., fatigue, rough skin, constipation, etc.) and emotional state (e.g., stress, happiness, etc.), the system will suggest ingredients and cooking methods that will replenish the corresponding nutrients.

[0770] Processing flow (user)

[0771] 1. The user launches the application and logs in.

[0772] 2. Select and enter the appropriate physical condition from the list of physical conditions.

[0773] 3. Select and enter your emotional state.

[0774] 4. Click the "Submit" button to send the input to the server.

[0775] server

[0776] Based on the data received from the user, the server identifies the nutrients necessary for the illness and obtains a list of ingredients that contain them. It then analyzes the user's emotional state using an emotion engine, generates an appropriate recipe, and sends it back to the user's device.

[0777] Processing flow (server)

[0778] 1. Receive data about physical discomfort and emotional state sent by the user. For example, receive information about "easily tired" and "stressed."

[0779] 2. Query the database to identify nutrients (vitamin B1, iron, calcium, etc.) associated with the disorder.

[0780] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[0781] 4. The emotion engine analyzes the user's emotion data and adjusts the priority of nutrients, while simultaneously selecting complementary ingredients and cooking methods based on the emotion data.

[0782] 5. Generate recipes based on combinations of ingredients and cooking methods.

[0783] 6. Send the generated recipe to the user device.

[0784] Emotion Engine

[0785] The emotion engine recognizes the user's emotions and customizes recipes based on that, for example, if the user is feeling stressed, it will recommend ingredients and menu items that will have a relaxing effect.

[0786] Database

[0787] The database stores various nutrients, foods rich in them, suitable recipes, and data related to emotions. The server accesses this database to retrieve the necessary information.

[0788] Specific examples

[0789] Example 1: If the user selects "easily tired" and "stressed"

[0790] 1. User (operation on device)

[0791] The user opens the app and logs in.

[0792] Select "tired easily" from the list of physical ailments, and select "stress" from the emotional state and send.

[0793] 2. Server

[0794] The server receives information such as "easily tired" and "stressed" sent by the user.

[0795] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[0796] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[0797] The emotion engine receives "stress" and takes into account ingredients and cooking methods that have a relaxing effect (e.g., cooking using herbal tea or aromatic oils).

[0798] Based on this data, a recipe for "Stir-fried pork and spinach with herbs" is generated.

[0799] Title: "Stir-fried pork and spinach with herbs"

[0800] Ingredients needed: Pork, spinach, herbs, salt, pepper, oil

[0801] Cooking Instructions:

[0802] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[0803] 2. Add oil to a frying pan and fry the pork.

[0804] 3. Once the meat is cooked through, add the spinach and herbs and continue to stir fry.

[0805] 4. Season with salt and pepper.

[0806] The generated recipe is sent to the user's device.

[0807] 3. User (operation on the device)

[0808] The user receives the recipe and checks it on the screen.

[0809] Cook according to the recipe and enjoy the meal while hoping for a relaxing effect.

[0810] This system allows users to prepare the optimal meal based on their current health and emotional state. By combining it with an emotion engine, it is possible to suggest meals that take into account not only nutritional requirements but also psychological satisfaction and relaxation.

[0811] The processing flow will be explained below.

[0812] Step 1:

[0813] The user launches the application and logs in. On the app's home screen, the user selects the physical condition they wish to improve.

[0814] Step 2:

[0815] The user selects a specific symptom from a list, such as "easily tired," enters an emotional state, such as "stress," and presses the "Submit" button to send the selection to the server.

[0816] Step 3:

[0817] The server receives the data on the user's condition and emotions. For example, it receives information such as "easily tired" and "stressed."

[0818] Step 4:

[0819] The server queries the database to identify necessary nutrients (such as vitamin B1, iron, and calcium) associated with "easily fatigued."

[0820] Step 5:

[0821] The server retrieves from the database a list of ingredients that are rich in the specified nutrients, such as pork, which is rich in vitamin B1, spinach, which is rich in iron, and dairy products, which are rich in calcium.

[0822] Step 6:

[0823] The server uses an emotion engine to analyze the user's emotional state (e.g., stress) and adjusts nutrient priorities and complementary ingredients.

[0824] Step 7:

[0825] The server chooses a complementary recipe based on your emotional state and combines it with the ingredients you've acquired, for example, using herbs that have a relaxing effect.

[0826] Step 8:

[0827] The server generates the optimal recipe, for example, "Stir-fried pork and spinach with herbs."

[0828] Title: "Stir-fried pork and spinach with herbs"

[0829] Ingredients needed: Pork, spinach, herbs, salt, pepper, oil

[0830] Cooking Instructions:

[0831] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[0832] 2. Add oil to a frying pan and fry the pork.

[0833] 3. Once the meat is cooked through, add the spinach and herbs and continue to stir fry.

[0834] 4. Season with salt and pepper.

[0835] Step 9:

[0836] The server sends the generated recipe to the user's device.

[0837] Step 10:

[0838] The device analyzes the recipe data it receives and displays it in a format that is easy for the user to read.

[0839] Step 11:

[0840] The user checks the recipe screen and prepares the dish according to the recipe presented. If there is anything they don't understand while cooking, they can refer to supplementary information or video explanations within the app.

[0841] Example 2

[0842] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0843] In modern society, many people live with stress and discomfort. This creates a demand for meal suggestions that are suited to each individual's health and emotional state. However, conventional recipe suggestion systems are unable to take the user's emotional state into account, and do not adequately suggest meals that provide psychological satisfaction or relaxation. To solve this problem, a system is needed that suggests recipes that simultaneously consider the user's health and emotional state.

[0844] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0845] In this invention, the server includes a means for identifying nutrients needed based on a physical condition selected by the user, a means for acquiring a list of ingredients rich in the identified nutrients, a means for recognizing and analyzing the user's emotional state, and a means for customizing recipes based on the analysis, thereby enabling nutritionally balanced recipes to be proposed according to the user's health and emotional state, as well as meal suggestions that take into consideration psychological satisfaction and relaxation.

[0846] A "user" is someone who uses the system to input their own health and emotional state and receives suggested recipes.

[0847] "Physical discomfort" refers to problems or symptoms related to the user's health, including, for example, fatigue, constipation, and skin problems.

[0848] "Necessary nutrients" refers to nutritional components such as vitamins and minerals that are necessary to improve the user's physical condition.

[0849] "Ingredient list" refers to a list of ingredients that contain a lot of a particular nutrient.

[0850] "Cooking method" refers to the steps and methods for processing and cooking ingredients.

[0851] A "recipe" is a set of instructions for preparing a dish using specific ingredients and cooking methods.

[0852] "Emotional state" refers to the emotions or psychological state a user is feeling, and examples include stress, happiness, etc.

[0853] "Emotion engine" refers to software or hardware functionality for recognizing and analyzing a user's emotional state.

[0854] "Customize" refers to changing or adjusting content based on a user's specific conditions or state.

[0855] As an embodiment of the present invention, we will describe a system that provides recipes that take into account the user's health and emotional state. This system includes a function that identifies necessary nutrients based on physical ailments selected by the user and generates recipes using ingredients containing those nutrients. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, we can provide more personalized recipes.

[0856] System Overview

[0857] The system consists of the following main components:

[0858] 1. User Device

[0859] 2. Server

[0860] 3. Database

[0861] 4. Emotion Engine

[0862] User Device

[0863] The user terminal is a device through which users can access the system and input their physical ailments and emotional state. By inputting their health condition (e.g., fatigue, rough skin, constipation, etc.) and emotional state (e.g., stress, happiness, etc.), the system can suggest ingredients and cooking methods that will replenish the relevant nutrients.

[0864] The user launches the application from their device and logs in. They select and enter the relevant physical ailment from a list, select and enter their emotional state, and then press the "Send" button to send the data to the server.

[0865] server

[0866] Based on the data received from the user, the server identifies the nutrients necessary for the illness and obtains a list of ingredients that contain them. It then analyzes the user's emotional state using an emotion engine, generates an appropriate recipe, and sends it back to the user's device.

[0867] The server first receives data on the user's physical ailments and emotional state, queries the database to identify nutrients related to the ailment, and retrieves a list of ingredients rich in the identified nutrients from the database. The emotion engine analyzes the user's emotional data, adjusts the priority of nutrients, and selects complementary ingredients and cooking methods based on the emotional data. Finally, a recipe based on the combination of ingredients and cooking methods is generated and sent to the user's device.

[0868] Emotion Engine

[0869] The emotion engine recognizes the user's emotions and customizes recipes based on them. For example, if the user is feeling stressed, it will recommend ingredients and menu items that have a relaxing effect. The emotion engine uses advanced algorithms to analyze emotional data and respond to the user's psychological needs at that time.

[0870] Database

[0871] The database stores data related to various nutrients, ingredients that contain them, appropriate recipes, and emotions. The server accesses this database to obtain the necessary information. The database contains detailed records of the effects of each nutrient, ingredient information, and cooking methods.

[0872] Specific examples

[0873] Example 1: If the user selects "easily tired" and "stressed"

[0874] 1. User (operation on device)

[0875] The user opens the app and logs in.

[0876] Select "tired easily" from the list of physical ailments, and select "stress" from the emotional state and send.

[0877] 2. Server

[0878] The server receives information such as "easily tired" and "stressed" sent by the user.

[0879] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[0880] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[0881] The emotion engine receives "stress" and takes into account ingredients and cooking methods that have a relaxing effect (e.g., cooking using herbal tea or aromatic oils).

[0882] Based on this data, a recipe for "Stir-fried pork and spinach with herbs" is generated.

[0883] Title: "Stir-fried pork and spinach with herbs"

[0884] Ingredients needed: Pork, spinach, herbs, salt, pepper, oil

[0885] Cooking Instructions:

[0886] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[0887] 2. Add oil to a frying pan and fry the pork.

[0888] 3. Once the meat is cooked through, add the spinach and herbs and continue to stir fry.

[0889] 4. Season with salt and pepper.

[0890] The generated recipe is sent to the user's device.

[0891] 3. User (operation on the device)

[0892] The user receives the recipe and checks it on the screen.

[0893] Cook according to the recipe and enjoy the meal while hoping for a relaxing effect.

[0894] Example prompts to input to the generative AI model

[0895] The following prompts can be used:

[0896] "Based on the user's fatigue level and stress level, generate recipes that take into account the nutrients they need, a list of ingredients that contain them, and cooking methods that will have a relaxing effect."

[0897] "Considering the user's condition as fatigue and their emotional state as stress, please tell me recipes for dishes that have a relaxing effect using ingredients containing vitamin B1, iron, and calcium."

[0898] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0899] Step 1:

[0900] The user launches the application and logs in.

[0901] Specific behavior:

[0902] The application login screen appears.

[0903] The user enters their login credentials (username and password) and clicks the "Login" button.

[0904] The login data is sent to the server, where the user is authenticated.

[0905] After successful authentication, the following screen will be displayed on the user's device.

[0906] Input and Output:

[0907] Input: Username and Password

[0908] Output: User authentication result (success or failure)

[0909] Step 2:

[0910] The user inputs and submits their physical condition and emotional state.

[0911] Specific behavior:

[0912] Once you have successfully logged in, a screen will appear where you can enter your symptoms and emotions.

[0913] The user selects check boxes such as "easily tired" or "stressed" and clicks the "Submit" button.

[0914] The user's selections are sent to the server in JSON format.

[0915] Input and Output:

[0916] Input: Physical discomfort items and emotional state items

[0917] Output: A JSON request containing the user's selections.

[0918] Step 3:

[0919] The server analyzes the data received from the user and identifies the nutrients needed.

[0920] Specific behavior:

[0921] The server analyzes the received data in JSON format and recognizes that the symptoms are "easily tired" and "stressed."

[0922] An SQL query is run against the database to search for nutrients (vitamin B1, iron, calcium, etc.) related to the symptom of "easily tired."

[0923] The database returns the relevant nutrient information to the server.

[0924] Input and Output:

[0925] Input: User selection data in JSON format

[0926] Output: List of relevant nutrients

[0927] Step 4:

[0928] The server obtains a list of ingredients containing the specified nutrients.

[0929] Specific behavior:

[0930] The server obtains a list of ingredients rich in each nutrient from the database.

[0931] Run an SQL query against the database to find ingredients that correspond to the nutrients.

[0932] The database returns the relevant ingredient information to the server.

[0933] Input and Output:

[0934] Input: List of relevant nutrients

[0935] Output: List of foods rich in nutrients

[0936] Step 5:

[0937] The emotional engine analyzes your emotional state and customizes the recipe.

[0938] Specific behavior:

[0939] The emotion engine receives and analyzes emotional data called "stress."

[0940] The emotional engine identifies ingredients and cooking methods that have a relaxing effect (e.g. herbal tea, aromatic oils).

[0941] The server updates the ingredient list and adjusts priorities based on the results of the emotion engine.

[0942] Input and Output:

[0943] Input: Emotional state data

[0944] Output: A list of ingredients and recipes that take relaxation into consideration

[0945] Step 6:

[0946] The server generates a recipe based on the ingredients and cooking method.

[0947] Specific behavior:

[0948] The server generates a recipe based on the ingredients and cooking method specified (e.g., "Stir-fried pork and spinach with herbs").

[0949] Generate recipe title, ingredients needed, and cooking steps.

[0950] Input and Output:

[0951] Input: Ingredient list and recipe list

[0952] Output: Specific recipe information

[0953] Step 7:

[0954] The server sends the generated recipe to the user's device.

[0955] Specific behavior:

[0956] The generated recipe data (title, required ingredients, cooking instructions) is sent to the user's device in JSON format.

[0957] The recipe will be displayed on the user's device and can be checked.

[0958] Input and Output:

[0959] Input: Recipe information

[0960] Output: Recipe display on user's device

[0961] Step 8:

[0962] The user receives and displays the recipe.

[0963] Specific behavior:

[0964] The recipe is displayed in an application on the user's device.

[0965] The user opens the recipe and sees the ingredients and cooking steps needed.

[0966] The user starts cooking according to the recipe and completes the dish.

[0967] Input and Output:

[0968] Input: Recipe display data

[0969] Output: User recipe browsing and cooking preparation

[0970] Through this series of processing steps, the user can receive optimal meal suggestions based on their current health and emotional state.

[0971] (Application example 2)

[0972] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0973] In modern society, there is a demand for meal suggestions that take into account the user's health and emotional state, but there are very few systems that provide recipes that individually address these conditions. Furthermore, conventional systems cannot customize recipes that take the user's emotional state into account or provide cooking support in a virtual environment, resulting in a lack of convenience and satisfaction for users.

[0974] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0975] In this invention, the server includes means for identifying nutrients needed based on a physical condition selected by the user, means for acquiring a list of ingredients rich in the identified nutrients, means for generating a recipe based on the list of ingredients and combining it with an appropriate cooking method, means for providing the generated recipe to the user, means for recognizing the user's emotional state, means for customizing the recipe based on the emotional state, and means for providing interactive cooking support to the user in a virtual space. This enables the provision of optimal recipes tailored to the user's health and emotional state, and an interactive cooking experience in a virtual space.

[0976] "Physical discomfort" refers to any poor physical condition or health problems experienced by the user.

[0977] The "means for identifying necessary nutrients" refers to a method or device for identifying the appropriate nutritional components for the user's physical condition.

[0978] The "means for obtaining a list of ingredients" refers to a method or device for collecting or obtaining a list of ingredients that are rich in a specified nutrient.

[0979] The "means for generating a recipe" refers to a method or device for creating a cooking recipe by combining the acquired ingredient list and cooking method.

[0980] "Means for providing a recipe to a user" refers to a method or device for transmitting and presenting a generated recipe to a user terminal or the like.

[0981] "Emotional state" refers to the user's psychological emotional or mood state.

[0982] The "means for recognizing an emotional state" is a method or device for detecting a user's emotions and understanding their state.

[0983] A "means for customizing a recipe" is a method or device for adjusting the recipe content based on the user's emotional state and providing it in an optimal form for the user.

[0984] A "means for providing interactive cooking support in a virtual space" is a method or device for providing real-time assistance and guidance to a user while cooking in a virtual environment.

[0985] A "server" is a computer system that receives information from a user, performs the necessary processing, and provides the results to the user.

[0986] The present invention provides a system that provides recipes based on the user's health and emotional state and provides interactive cooking support in a virtual space. Specifically, the system is implemented in the following steps.

[0987] System Overview

[0988] The system consists of the following main components:

[0989] 1. User terminal: A device where the user inputs information and receives recipes.

[0990] 2. Server: A computer system that processes data from users and generates recipes.

[0991] 3. Database: A storage system that stores nutrients, ingredients, recipes, and sentiment data.

[0992] 4. Emotion Engine: It has the ability to recognize the user's emotional state and customize recipes based on that.

[0993] User Device

[0994] The user terminal uses a device such as an HMD (head-mounted display). The user inputs their health condition (e.g., fatigue, rough skin, constipation, etc.) and emotional state (e.g., stress, happiness, etc.), and is also used for an interactive cooking experience in a virtual space.

[0995] Processing flow (user)

[0996] 1. The user launches the application and logs in.

[0997] 2. Select and enter the appropriate physical condition from the list of physical conditions.

[0998] 3. Recognize emotional states using input devices and image analysis.

[0999] 4. Click the Send button to send the input to the server.

[1000] server

[1001] Based on the data received from the user, the server identifies the nutrients needed to treat the illness and retrieves a list of ingredients that contain them.The server also uses an emotion engine to analyze the user's emotional state, generating an appropriate recipe and sending it back to the user's device.

[1002] Processing flow (server)

[1003] 1. Receive health and emotional state data submitted by users.

[1004] 2. Query the database to identify nutrients associated with ailments.

[1005] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[1006] 4. The emotion engine analyzes the user's emotion data and adjusts the priority of nutrients, while simultaneously selecting complementary ingredients and cooking methods based on the emotion data.

[1007] 5. Generate recipes based on combinations of ingredients and cooking methods.

[1008] 6. Send the generated recipe to the user device.

[1009] Emotion Engine

[1010] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state. For example, if the user is feeling stressed, it will recommend foods and menus that have a relaxing effect.

[1011] Database

[1012] The database stores various nutrients, foods rich in them, suitable recipes, and data related to emotions. The server accesses this database to retrieve the necessary information.

[1013] Specific examples

[1014] Example 1: If the user selects "easily tired" and "stressed"

[1015] 1. User (operation on device)

[1016] The user opens the app and logs in.

[1017] Select "tired easily" from the list of physical ailments, and select "stress" from the emotional state and send.

[1018] 2. Server

[1019] The server receives information such as "easily tired" and "stressed" sent by the user.

[1020] Identify the nutrients necessary for fatigue recovery from the database.

[1021] Get a list of foods that are high in each nutrient.

[1022] The emotional engine receives the "stress" and considers ingredients and cooking methods that have a relaxing effect.

[1023] A recipe is generated based on this data.

[1024] The generated recipe is sent to the user's device.

[1025] 3. User (operation on the device)

[1026] The user receives the recipe and checks it on the screen.

[1027] Cook according to the recipe and enjoy your meal while also hoping for a relaxing effect.

[1028] Prompt Sentence Examples

[1029] "My physical condition is 'I get tired easily' and my emotional state is 'stressed.' Based on this, please recommend some recipes that are both nutritious and relaxing."

[1030] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1031] Step 1:

[1032] The user starts up the device and logs in to the application. The user's login information (username and password) is required as input, and the main screen is displayed as output if the login is successful. The entered login information is checked against the authentication server, and if it is correct, the user's profile information is obtained and displayed on the main screen.

[1033] Step 2:

[1034] The user selects and inputs the relevant physical complaint from a list of physical complaints. The input requires the user's selected physical complaint (e.g., "easily tired"), and the output is sent to the server. The user selects the physical complaint using drop-down menus and check boxes, and prepares it to be sent to the database.

[1035] Step 3:

[1036] The user inputs their emotional state, or the device's camera is used to recognize their emotional state through image analysis. The input requires the user's emotional state (e.g., "stress") or a face image, and the emotional state data is sent to the server as output. The image data from the camera is analyzed by the emotion engine (using TensorFlow) and a tag for the emotional state (e.g., "stress") is obtained.

[1037] Step 4:

[1038] The server receives data about physical symptoms and emotional states sent by the user. As input, the user's physical symptoms and emotional state data are required, and as output, these data are stored internally on the server. The server receives the HTTP request and stores the data in an appropriate format.

[1039] Step 5:

[1040] The server queries the database to identify nutrients associated with disorders. It requires physical disorder data as input and a list of identified nutrients as output. The server queries the database table and extracts nutrients (e.g., vitamins, minerals) associated with the specified disorder.

[1041] Step 6:

[1042] The server retrieves a list of ingredients that are high in the specified nutrients from the database. It takes the list of specified nutrients as input and gets the list of ingredients as output. The server queries another table in the database to list ingredients that are high in each nutrient.

[1043] Step 7:

[1044] The emotion engine analyzes the user's emotional data and adjusts the priority of nutrients. At the same time, it selects complementary ingredients and cooking methods based on the emotional data. It requires the user's emotional state and a list of nutrients as input, and provides a prioritized list of ingredients and cooking methods as output. The emotion engine uses a TensorFlow model to analyze the emotional data and select ingredients with a relaxing effect and appropriate cooking methods.

[1045] Step 8:

[1046] The server generates recipes based on combinations of ingredients and cooking methods. It requires a prioritized list of ingredients and cooking methods as input, and the completed recipe as output. The server uses a recipe generation algorithm to create a specific recipe (title, required ingredients, cooking steps) for each combination of ingredients and cooking methods.

[1047] Step 9:

[1048] The server sends the generated recipe to the user device. It requires the generated recipe as input and sends the recipe data to the user device as output. The server converts the recipe data into an appropriate format and sends it to the user device as an HTTP response.

[1049] Step 10:

[1050] The user receives the recipe and checks it on the device screen. The received recipe data is required as input, and the recipe content is displayed on the user's screen as output. The user uses the virtual kitchen environment to cook while following visual and audio guidance.

[1051] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1052] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1053] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[1054] [Third embodiment]

[1055] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1056] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[1057] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1058] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[1059] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1060] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1061] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1062] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1063] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1064] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1065] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1066] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[1067] As an embodiment of the present invention, a system for providing recipes that take into account a user's health condition will be described. This system has a function for identifying necessary nutrients based on a physical condition selected by the user and generating recipes using ingredients containing those nutrients.

[1068] System Overview

[1069] The system consists of the following main components:

[1070] 1. User Device

[1071] 2. Server

[1072] 3. Database

[1073] User Device

[1074] The user terminal is a device that allows users to access the system and input their physical condition. By inputting their own health condition (e.g., fatigue, rough skin, constipation, etc.), the system will suggest ingredients and cooking methods that will replenish the relevant nutrients.

[1075] Processing flow (user)

[1076] 1. The user launches the application and logs in.

[1077] 2. Select and enter the appropriate physical condition from the list of physical conditions.

[1078] 3. Click the "Submit" button to send the input to the server.

[1079] server

[1080] Based on the data received from the user, the server identifies the nutrients necessary for the illness, obtains a list of ingredients that contain those nutrients, and then generates an appropriate recipe and sends it back to the user's device.

[1081] Processing flow (server)

[1082] 1. Receive data about physical conditions sent by users.

[1083] 2. Query the database to identify nutrients associated with the disorder.

[1084] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[1085] 4. Generate recipes based on combinations of ingredients and cooking methods.

[1086] 5. Send the generated recipe to the user device.

[1087] Database

[1088] The database stores various nutrients, ingredients rich in them, and suitable recipes. The server accesses this database to obtain the necessary information.

[1089] Specific examples

[1090] Example 1: If the user selects "I get tired easily"

[1091] 1. User (operation on device)

[1092] The user opens the app and logs in.

[1093] Select "easily tired" from the list of physical ailments and submit.

[1094] 2. Server

[1095] The server receives the information sent by the user that "I get tired easily."

[1096] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[1097] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[1098] Generate a recipe for "Stir-fried Pork and Spinach" using these ingredients.

[1099] Title: "Stir-fried pork and spinach"

[1100] Ingredients needed: Pork, spinach, salt, pepper, oil

[1101] Cooking Instructions:

[1102] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[1103] 2. Add oil to a frying pan and fry the pork.

[1104] 3. Once the meat is cooked through, add the spinach and continue to stir fry.

[1105] 4. Season with salt and pepper.

[1106] The generated recipe is sent to the user's device.

[1107] 3. User (operation on the device)

[1108] The user receives the recipe and checks it on the screen.

[1109] Cook the food according to the recipe.

[1110] This system allows users to easily prepare the optimal meals according to their current health condition, which will also facilitate nutritional management in daily life and lead to improved health.

[1111] The processing flow will be explained below.

[1112] Step 1:

[1113] The user launches the application and logs in. On the app's home screen, the user selects the physical condition they wish to improve.

[1114] Step 2:

[1115] The user selects a specific symptom from the list, such as "easily tired," and presses the "Submit" button to send the selection to the server.

[1116] Step 3:

[1117] The server receives data on the user's condition, such as "I get tired easily."

[1118] Step 4:

[1119] The server queries the database to identify necessary nutrients (such as vitamin B1, iron, and calcium) associated with "easily fatigued."

[1120] Step 5:

[1121] The server retrieves a list of ingredients based on nutrients from a database, such as pork, which is rich in vitamin B1, spinach, which is rich in iron, and dairy products, which are rich in calcium.

[1122] Step 6:

[1123] The server searches for an appropriate recipe based on the list of ingredients it has retrieved. For example, it generates a recipe for "Stir-fried pork and spinach" using pork and spinach.

[1124] Step 7:

[1125] The server-generated recipe contains the following information:

[1126] Title: "Stir-fried pork and spinach"

[1127] Ingredients needed: Pork, spinach, salt, pepper, oil

[1128] Cooking Instructions:

[1129] 1. Cut the pork into small pieces.

[1130] 2. Wash the spinach and cut it into bite-sized pieces.

[1131] 3. Add oil to a frying pan and fry the pork.

[1132] 4. Once the meat is cooked, add the spinach and continue to stir fry.

[1133] 5. Season with salt and pepper.

[1134] Step 8:

[1135] The server sends the generated recipe to the user's device.

[1136] Step 9:

[1137] The device analyzes the recipe data it receives and displays it in a format that is easy for the user to read.

[1138] Step 10:

[1139] The user checks the recipe screen and prepares the dish according to the recipe presented. If there is anything they don't understand while cooking, they can refer to supplementary information or video explanations within the app.

[1140] Example 1

[1141] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1142] In today's busy lifestyles, people tend to neglect their own health management. As a result, health conditions often deteriorate due to nutritional imbalances. Current recipe provision systems lack customization based on individual users' health conditions, making it difficult to provide recipes containing the optimal nutrients for specific health issues.

[1143] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1144] In this invention, the server includes means for identifying necessary nutrients based on a physical condition selected by the user, means for acquiring a list of ingredients rich in the identified nutrients, means for generating recipes based on the ingredient list and combining them with appropriate cooking methods, means for generating the generated recipes using a natural language processing model, and means for converting the generated recipes into PDF format and sending them to a user terminal. This allows users to easily obtain optimal recipes tailored to their own health condition, facilitating nutritional management in their daily lives.

[1145] "Means for identifying nutrient needs based on a user-selected physical condition" refers to a device or software that analyzes health status data entered by a user and identifies appropriate nutrients.

[1146] The "means for obtaining a list of ingredients that are rich in the identified nutrients" refers to a device or software for searching a database for ingredients that correspond to the identified nutrients and obtaining them as a list.

[1147] The "means for generating a recipe that combines appropriate cooking methods based on the ingredient list" refers to a device or software that uses the acquired ingredients and combines the corresponding cooking procedures to create a recipe.

[1148] The "means for generating the generated recipe using a natural language processing model" refers to a device or software for generating a text-format recipe from input data using natural language processing techniques.

[1149] "Means for converting the generated recipe into PDF format and sending it to the user terminal" refers to a device or software for converting the generated recipe into PDF format and sending it to the user terminal.

[1150] "Means for users to input said physical discomfort using a terminal" refers to a device or software that allows users to input health status data through a computer or mobile device they use.

[1151] "Recipes are customized based on the user's health status" refers to the feature that creates recipes using specific nutrients and ingredients tailored to individual needs based on the health data entered by the user.

[1152] MODE FOR CARRYING OUT THE INVENTION

[1153] As an embodiment of the present invention, a system that provides recipes that take into account the user's health condition will be described. This system has the function of identifying necessary nutrients based on a physical condition selected by the user and generating recipes using ingredients that are rich in those nutrients. The main components of this system are as follows:

[1154] User Device

[1155] The user terminal is the device through which the user accesses the system and inputs information about their physical condition. Specifically, this includes smartphones, tablets, and PCs. After launching the application and logging in, the user selects their condition (e.g., fatigue, rough skin, constipation, etc.) on the health condition input screen. The selected information is sent to the server by pressing the "Send" button.

[1156] server

[1157] The server analyzes the data received from the user and generates the optimal recipe based on the user's health condition. The server is built using Python-based Flask and has the ability to process the received user data.

[1158] The server first identifies the nutrients needed based on the symptoms entered by the user. In this case, it sends a query to a database (PostgreSQL) to identify the relevant nutrients. Next, it retrieves a list of ingredients that are rich in the necessary nutrients from the database.

[1159] The server then uses Natural Language Processing (NLP) technology to generate recipes combining ingredients and cooking methods, utilizing generative AI models such as GPT-3, and converts the generated recipes into PDF format and sends them to the user's device.

[1160] Database

[1161] The database stores various nutrients, ingredients rich in them, and suitable recipes. The server accesses this database to obtain the necessary information.

[1162] Specific examples

[1163] Example 1: If the user selects "I get tired easily"

[1164] 1. User (operation on device)

[1165] The user opens the app and logs in.

[1166] Select "easily tired" from the list of physical ailments and submit.

[1167] 2. Server

[1168] The server receives the information sent by the user that "I get tired easily."

[1169] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[1170] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[1171] Generate a recipe for "Stir-fried Pork and Spinach" using these ingredients.

[1172] Title: "Stir-fried pork and spinach"

[1173] Ingredients needed: Pork, spinach, salt, pepper, oil

[1174] Cooking Instructions:

[1175] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[1176] 2. Add oil to a frying pan and fry the pork.

[1177] 3. Once the meat is cooked through, add the spinach and continue to stir fry.

[1178] 4. Season with salt and pepper.

[1179] The generated recipe is converted into PDF format and sent to the user's device.

[1180] 3. User (operation on the device)

[1181] Users receive a recipe, check it on the screen, and then cook the dish.

[1182] Prompt Sentence Examples

[1183] Examples of prompts include:

[1184] "What nutrients are necessary to improve fatigue?"

[1185] "Please tell me some easy recipes using ingredients that are rich in vitamin B1, iron, and calcium."

[1186] "Generate a recipe using the following ingredients: pork, spinach, and dairy."

[1187] This system allows users to easily prepare the optimal meals according to their current health condition, making it easier to manage nutrition in daily life and potentially improving their health.

[1188] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1189] Step 1:

[1190] The user launches the application on their smartphone or computer and logs in. The login screen appears and the user enters their username and password. Once the input is complete, they press the login button. This input data (username and password) is sent to the server, where authentication takes place. The server queries the database to verify the authentication information. If authentication is successful, the user can proceed to the health status input screen.

[1191] Step 2:

[1192] On the health condition input screen, the user selects their physical condition from a list of conditions (e.g., fatigue, rough skin, constipation, etc.). Once selection is complete, the user presses the "Send" button. This selection information is sent to the server. The server receives the condition data sent by the user and analyzes its contents.

[1193] Step 3:

[1194] The server sends a query to the database based on the symptom data submitted by the user. This query is to identify the nutrients (e.g., vitamin B1, iron, calcium, etc.) needed for the corresponding symptom (e.g., "easily tired"). The database returns the nutrient information. The server receives this data and creates a list of nutrients needed to correspond to the symptom.

[1195] Step 4:

[1196] The server then queries the database again to obtain a list of ingredients that are high in the specified nutrients. The database returns the ingredient information, and the server creates a list of these ingredients. Specifically, it obtains ingredients that are high in vitamin B1 (e.g., pork), ingredients that are high in iron (e.g., spinach), and ingredients that are high in calcium (e.g., dairy products).

[1197] Step 5:

[1198] The server generates a recipe based on the obtained ingredient list and the identified nutrients. In this process, the server uses a generative AI model (e.g., GPT-3). A prompt is input to this model. For example, "Please generate a simple recipe that contains vitamin B1, iron, and calcium." The generative AI model generates a text recipe based on the prompt, and the server receives it.

[1199] Step 6:

[1200] The server converts the generated recipe into PDF format using a Python library to format the generated text as a PDF document that includes the recipe title, ingredients needed, cooking instructions, etc.

[1201] Step 7:

[1202] The server converts the recipe into PDF format and sends it to the user's device. This is done via email or in-app notification. The user's device receives the recipe data and displays it on the screen.

[1203] Step 8:

[1204] The user opens and views the recipe sent to the device. Specifically, the user checks the recipe within the application and refers to the necessary ingredients and cooking steps. The user can then cook the dish based on this recipe.

[1205] (Application example 1)

[1206] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1207] In modern society, irregular eating habits and poor nutritional balance due to busy lifestyles have become serious problems. In addition, it is difficult for individuals to choose appropriate meals according to their individual health conditions, and maintaining an effective diet is particularly important when physical ailments occur repeatedly. There is also a demand for convenience and rapid delivery of meals. Therefore, a system is needed that proposes recipes based on the user's health condition and quickly delivers meals prepared based on those recipes.

[1208] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1209] In this invention, the server includes a means for identifying necessary nutrients based on a physical condition selected by the user, a means for acquiring a list of ingredients rich in the identified nutrients, a means for generating recipes based on the list of ingredients and combining them with appropriate cooking methods, and a delivery means for providing meals cooked based on the generated recipes. This makes it possible to propose optimal meals according to the individual user's health condition and deliver them quickly.

[1210] "Physical ailments selected by the user" refers to the user inputting information about their physical condition and selecting a specific ailment (e.g., fatigue, rough skin, constipation, etc.).

[1211] "Means for identifying necessary nutrients" refers to a method or technology for identifying, from a database, etc., the nutrients needed to improve a physical condition selected by the user.

[1212] "Means for obtaining a list of ingredients rich in nutrients" refers to a method or technology for searching a database for ingredients rich in a specified nutrient and obtaining the list.

[1213] "Means for generating a recipe combined with an appropriate cooking method" refers to a method or technology for creating a recipe based on an acquired list of ingredients by combining steps for appropriately cooking them.

[1214] "Means for providing the generated recipe to the user" refers to a method or technology for displaying or transmitting the generated recipe to the user.

[1215] "Delivery means for providing meals prepared based on the generated recipe" refers to the method or technology for delivering meals prepared based on the generated recipe to a location specified by the user.

[1216] The following system configuration and processing flow will be described as an embodiment of the present invention.

[1217] The system mainly consists of three main components: user terminals, servers, and databases.

[1218] User Device

[1219] The user terminal is the device through which the user accesses the system and inputs information about their physical condition. For example, a smartphone or tablet would be an example. The user launches the application on the terminal, logs in, and selects and inputs their health condition (e.g., fatigue, rough skin, constipation, etc.). This information is sent to the server.

[1220] server

[1221] The server identifies the nutrients needed to treat the illness based on the data received from the user and retrieves a list of ingredients that contain them. The server uses the Flask framework in Python and SQLite as the database. This server performs the following tasks:

[1222] 1. Receive data about physical conditions sent by users.

[1223] 2. Query the database to identify nutrients associated with the disorder.

[1224] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[1225] 4. Generate recipes based on combinations of ingredients and cooking methods.

[1226] 5. The generated recipe is sent back to the user's device.

[1227] 6. Additionally, deliveries are made to provide meals prepared based on recipes.

[1228] Database

[1229] The database stores various nutrients, ingredients rich in them, and suitable recipes. The server accesses this database to obtain the necessary information.

[1230] Specific examples

[1231] Below is a concrete example of how this system works:

[1232] Example 1: If the user selects "I get tired easily"

[1233] 1. User (operation on device)

[1234] The user opens the app and logs in.

[1235] Select "easily tired" from the list of physical ailments and submit.

[1236] 2. Server

[1237] The server receives the information sent by the user that "I get tired easily."

[1238] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[1239] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[1240] Generate a recipe for "Stir-fried Pork and Spinach" using these ingredients.

[1241] Title: "Stir-fried pork and spinach"

[1242] Ingredients needed: Pork, spinach, salt, pepper, oil

[1243] Cooking Instructions:

[1244] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[1245] 2. Add oil to a frying pan and fry the pork.

[1246] 3. Once the meat is cooked through, add the spinach and continue to stir fry.

[1247] 4. Season with salt and pepper.

[1248] The generated recipe is sent to the user's device.

[1249] When an order is placed, it is cooked according to the recipe and delivered.

[1250] Prompt Sentence Examples

[1251] "The user selects their skin condition. In this case, we provide ingredients and recipes that are rich in vitamin C and zinc."

[1252] This makes it easy to provide optimal meals according to the user's health condition, making it easier to manage nutrition in daily life. In addition, adding a delivery function will further enhance user convenience.

[1253] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1254] Step 1:

[1255] The user uses a terminal to launch the application and log in. User authentication information is required as input, and a message indicating authentication success or failure is displayed as output.

[1256] Step 2:

[1257] The user selects and inputs their physical condition in the application on the device. The input requires the selection of a health condition (e.g., easily fatigued, rough skin, constipation, etc.), and the selection is ready to be sent to the server as output.

[1258] Step 3:

[1259] The terminal transmits the inputted malfunction data to the server. The selected malfunction data is required as input, and the malfunction data is transmitted to the server as output.

[1260] Step 4:

[1261] The server receives the user's complaint data. As input, the user's complaint data is required, and as output, this data is stored in the server's temporary memory.

[1262] Step 5:

[1263] The server queries the database to identify nutrients associated with the received illness data. The illness data is required as input, and a list of identified nutrients is obtained as output. Specifically, the nutrient data is extracted using an SQL query.

[1264] Step 6:

[1265] The server retrieves a list of ingredients that are rich in the specified nutrients from the database. The server receives the list of nutrients as input and retrieves the corresponding list of ingredients as output.

[1266] Step 7:

[1267] The server generates a recipe based on the acquired ingredient list, combining it with an appropriate cooking method. The ingredient list is required as input, and the generated recipe data is generated as output. A recipe generation algorithm is used to process the data.

[1268] Step 8:

[1269] The server sends the generated recipe to the user terminal, which requires the generated recipe data as input and displays the recipe on the user terminal as output.

[1270] Step 9:

[1271] The user checks the recipe on the device and orders food delivery if necessary. The inputs are the recipe checking and ordering interfaces, and the output is the order data sent to the server.

[1272] Step 10:

[1273] The server outputs cooking instructions based on the received order data and arranges for delivery to provide the meal. Order data is required as input, and delivery and cooking instructions are sent to the restaurant or delivery company as output.

[1274] This will enable the system to suggest optimal meals based on the user's health condition and deliver them quickly.

[1275] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1276] As an embodiment of the present invention, a system for providing recipes that take into account a user's health and emotional state will be described. This system includes a function for identifying necessary nutrients based on a physical condition selected by the user and generating recipes using ingredients containing those nutrients. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, more personalized recipes can be provided.

[1277] System Overview

[1278] The system consists of the following main components:

[1279] 1. User Device

[1280] 2. Server

[1281] 3. Database

[1282] 4. Emotion Engine

[1283] User Device

[1284] The user terminal is a device that allows users to access the system and input their physical ailments and emotional state. By inputting their health condition (e.g., fatigue, rough skin, constipation, etc.) and emotional state (e.g., stress, happiness, etc.), the system will suggest ingredients and cooking methods that will replenish the corresponding nutrients.

[1285] Processing flow (user)

[1286] 1. The user launches the application and logs in.

[1287] 2. Select and enter the appropriate physical condition from the list of physical conditions.

[1288] 3. Select and enter your emotional state.

[1289] 4. Click the "Submit" button to send the input to the server.

[1290] server

[1291] Based on the data received from the user, the server identifies the nutrients necessary for the illness and obtains a list of ingredients that contain them. It then analyzes the user's emotional state using an emotion engine, generates an appropriate recipe, and sends it back to the user's device.

[1292] Processing flow (server)

[1293] 1. Receive data about physical discomfort and emotional state sent by the user. For example, receive information about "easily tired" and "stressed."

[1294] 2. Query the database to identify nutrients (vitamin B1, iron, calcium, etc.) associated with the disorder.

[1295] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[1296] 4. The emotion engine analyzes the user's emotion data and adjusts the priority of nutrients, while simultaneously selecting complementary ingredients and cooking methods based on the emotion data.

[1297] 5. Generate recipes based on combinations of ingredients and cooking methods.

[1298] 6. Send the generated recipe to the user device.

[1299] Emotion Engine

[1300] The emotion engine recognizes the user's emotions and customizes recipes based on that, for example, if the user is feeling stressed, it will recommend ingredients and menu items that will have a relaxing effect.

[1301] Database

[1302] The database stores various nutrients, foods rich in them, suitable recipes, and data related to emotions. The server accesses this database to retrieve the necessary information.

[1303] Specific examples

[1304] Example 1: If the user selects "easily tired" and "stressed"

[1305] 1. User (operation on device)

[1306] The user opens the app and logs in.

[1307] Select "tired easily" from the list of physical ailments, and select "stress" from the emotional state and send.

[1308] 2. Server

[1309] The server receives information such as "easily tired" and "stressed" sent by the user.

[1310] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[1311] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[1312] The emotion engine receives "stress" and takes into account ingredients and cooking methods that have a relaxing effect (e.g., cooking using herbal tea or aromatic oils).

[1313] Based on this data, a recipe for "Stir-fried pork and spinach with herbs" is generated.

[1314] Title: "Stir-fried pork and spinach with herbs"

[1315] Ingredients needed: Pork, spinach, herbs, salt, pepper, oil

[1316] Cooking Instructions:

[1317] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[1318] 2. Add oil to a frying pan and fry the pork.

[1319] 3. Once the meat is cooked through, add the spinach and herbs and continue to stir fry.

[1320] 4. Season with salt and pepper.

[1321] The generated recipe is sent to the user's device.

[1322] 3. User (operation on the device)

[1323] The user receives the recipe and checks it on the screen.

[1324] Cook according to the recipe and enjoy the meal while hoping for a relaxing effect.

[1325] This system allows users to prepare the optimal meal based on their current health and emotional state. By combining it with an emotion engine, it is possible to suggest meals that take into account not only nutritional requirements but also psychological satisfaction and relaxation.

[1326] The processing flow will be explained below.

[1327] Step 1:

[1328] The user launches the application and logs in. On the app's home screen, the user selects the physical condition they wish to improve.

[1329] Step 2:

[1330] The user selects a specific symptom from a list, such as "easily tired," enters an emotional state, such as "stress," and presses the "Submit" button to send the selection to the server.

[1331] Step 3:

[1332] The server receives the data on the user's condition and emotions. For example, it receives information such as "easily tired" and "stressed."

[1333] Step 4:

[1334] The server queries the database to identify necessary nutrients (such as vitamin B1, iron, and calcium) associated with "easily fatigued."

[1335] Step 5:

[1336] The server retrieves from the database a list of ingredients that are rich in the specified nutrients, such as pork, which is rich in vitamin B1, spinach, which is rich in iron, and dairy products, which are rich in calcium.

[1337] Step 6:

[1338] The server uses an emotion engine to analyze the user's emotional state (e.g., stress) and adjusts nutrient priorities and complementary ingredients.

[1339] Step 7:

[1340] The server chooses a complementary recipe based on your emotional state and combines it with the ingredients you've acquired, for example, using herbs that have a relaxing effect.

[1341] Step 8:

[1342] The server generates the optimal recipe, for example, "Stir-fried pork and spinach with herbs."

[1343] Title: "Stir-fried pork and spinach with herbs"

[1344] Ingredients needed: Pork, spinach, herbs, salt, pepper, oil

[1345] Cooking Instructions:

[1346] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[1347] 2. Add oil to a frying pan and fry the pork.

[1348] 3. Once the meat is cooked through, add the spinach and herbs and continue to stir fry.

[1349] 4. Season with salt and pepper.

[1350] Step 9:

[1351] The server sends the generated recipe to the user's device.

[1352] Step 10:

[1353] The device analyzes the recipe data it receives and displays it in a format that is easy for the user to read.

[1354] Step 11:

[1355] The user checks the recipe screen and prepares the dish according to the recipe presented. If there is anything they don't understand while cooking, they can refer to supplementary information or video explanations within the app.

[1356] Example 2

[1357] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1358] In modern society, many people live with stress and discomfort. This creates a demand for meal suggestions that are suited to each individual's health and emotional state. However, conventional recipe suggestion systems are unable to take the user's emotional state into account, and do not adequately suggest meals that provide psychological satisfaction or relaxation. To solve this problem, a system is needed that suggests recipes that simultaneously consider the user's health and emotional state.

[1359] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1360] In this invention, the server includes a means for identifying nutrients needed based on a physical condition selected by the user, a means for acquiring a list of ingredients rich in the identified nutrients, a means for recognizing and analyzing the user's emotional state, and a means for customizing recipes based on the analysis, thereby enabling nutritionally balanced recipes to be proposed according to the user's health and emotional state, as well as meal suggestions that take into consideration psychological satisfaction and relaxation.

[1361] A "user" is someone who uses the system to input their own health and emotional state and receives suggested recipes.

[1362] "Physical discomfort" refers to problems or symptoms related to the user's health, including, for example, fatigue, constipation, and skin problems.

[1363] "Necessary nutrients" refers to nutritional components such as vitamins and minerals that are necessary to improve the user's physical condition.

[1364] "Ingredient list" refers to a list of ingredients that contain a lot of a particular nutrient.

[1365] "Cooking method" refers to the steps and methods for processing and cooking ingredients.

[1366] A "recipe" is a set of instructions for preparing a dish using specific ingredients and cooking methods.

[1367] "Emotional state" refers to the emotions or psychological state a user is feeling, and examples include stress, happiness, etc.

[1368] "Emotion engine" refers to software or hardware functionality for recognizing and analyzing a user's emotional state.

[1369] "Customize" refers to changing or adjusting content based on a user's specific conditions or state.

[1370] As an embodiment of the present invention, we will describe a system that provides recipes that take into account the user's health and emotional state. This system includes a function that identifies necessary nutrients based on physical ailments selected by the user and generates recipes using ingredients containing those nutrients. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, we can provide more personalized recipes.

[1371] System Overview

[1372] The system consists of the following main components:

[1373] 1. User Device

[1374] 2. Server

[1375] 3. Database

[1376] 4. Emotion Engine

[1377] User Device

[1378] The user terminal is a device through which users can access the system and input their physical ailments and emotional state. By inputting their health condition (e.g., fatigue, rough skin, constipation, etc.) and emotional state (e.g., stress, happiness, etc.), the system can suggest ingredients and cooking methods that will replenish the relevant nutrients.

[1379] The user launches the application from their device and logs in. They select and enter the relevant physical ailment from a list, select and enter their emotional state, and then press the "Send" button to send the data to the server.

[1380] server

[1381] Based on the data received from the user, the server identifies the nutrients necessary for the illness and obtains a list of ingredients that contain them. It then analyzes the user's emotional state using an emotion engine, generates an appropriate recipe, and sends it back to the user's device.

[1382] The server first receives data on the user's physical ailments and emotional state, queries the database to identify nutrients related to the ailment, and retrieves a list of ingredients rich in the identified nutrients from the database. The emotion engine analyzes the user's emotional data, adjusts the priority of nutrients, and selects complementary ingredients and cooking methods based on the emotional data. Finally, a recipe based on the combination of ingredients and cooking methods is generated and sent to the user's device.

[1383] Emotion Engine

[1384] The emotion engine recognizes the user's emotions and customizes recipes based on them. For example, if the user is feeling stressed, it will recommend ingredients and menu items that have a relaxing effect. The emotion engine uses advanced algorithms to analyze emotional data and respond to the user's psychological needs at that time.

[1385] Database

[1386] The database stores data related to various nutrients, ingredients that contain them, appropriate recipes, and emotions. The server accesses this database to obtain the necessary information. The database contains detailed records of the effects of each nutrient, ingredient information, and cooking methods.

[1387] Specific examples

[1388] Example 1: If the user selects "easily tired" and "stressed"

[1389] 1. User (operation on device)

[1390] The user opens the app and logs in.

[1391] Select "tired easily" from the list of physical ailments, and select "stress" from the emotional state and send.

[1392] 2. Server

[1393] The server receives information such as "easily tired" and "stressed" sent by the user.

[1394] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[1395] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[1396] The emotion engine receives "stress" and takes into account ingredients and cooking methods that have a relaxing effect (e.g., cooking using herbal tea or aromatic oils).

[1397] Based on this data, a recipe for "Stir-fried pork and spinach with herbs" is generated.

[1398] Title: "Stir-fried pork and spinach with herbs"

[1399] Ingredients needed: Pork, spinach, herbs, salt, pepper, oil

[1400] Cooking Instructions:

[1401] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[1402] 2. Add oil to a frying pan and fry the pork.

[1403] 3. Once the meat is cooked through, add the spinach and herbs and continue to stir fry.

[1404] 4. Season with salt and pepper.

[1405] The generated recipe is sent to the user's device.

[1406] 3. User (operation on the device)

[1407] The user receives the recipe and checks it on the screen.

[1408] Cook according to the recipe and enjoy the meal while hoping for a relaxing effect.

[1409] Example prompts to input to the generative AI model

[1410] The following prompts can be used:

[1411] "Based on the user's fatigue level and stress level, generate recipes that take into account the nutrients they need, a list of ingredients that contain them, and cooking methods that will have a relaxing effect."

[1412] "Considering the user's condition as fatigue and their emotional state as stress, please tell me recipes for dishes that have a relaxing effect using ingredients containing vitamin B1, iron, and calcium."

[1413] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1414] Step 1:

[1415] The user launches the application and logs in.

[1416] Specific behavior:

[1417] The application login screen appears.

[1418] The user enters their login credentials (username and password) and clicks the "Login" button.

[1419] The login data is sent to the server, where the user is authenticated.

[1420] After successful authentication, the following screen will be displayed on the user's device.

[1421] Input and Output:

[1422] Input: Username and Password

[1423] Output: User authentication result (success or failure)

[1424] Step 2:

[1425] The user inputs and submits their physical condition and emotional state.

[1426] Specific behavior:

[1427] Once you have successfully logged in, a screen will appear where you can enter your symptoms and emotions.

[1428] The user selects check boxes such as "easily tired" or "stressed" and clicks the "Submit" button.

[1429] The user's selections are sent to the server in JSON format.

[1430] Input and Output:

[1431] Input: Physical discomfort items and emotional state items

[1432] Output: A JSON request containing the user's selections.

[1433] Step 3:

[1434] The server analyzes the data received from the user and identifies the nutrients needed.

[1435] Specific behavior:

[1436] The server analyzes the received data in JSON format and recognizes that the symptoms are "easily tired" and "stressed."

[1437] An SQL query is run against the database to search for nutrients (vitamin B1, iron, calcium, etc.) related to the symptom of "easily tired."

[1438] The database returns the relevant nutrient information to the server.

[1439] Input and Output:

[1440] Input: User selection data in JSON format

[1441] Output: List of relevant nutrients

[1442] Step 4:

[1443] The server obtains a list of ingredients containing the specified nutrients.

[1444] Specific behavior:

[1445] The server obtains a list of ingredients rich in each nutrient from the database.

[1446] Run an SQL query against the database to find ingredients that correspond to the nutrients.

[1447] The database returns the relevant ingredient information to the server.

[1448] Input and Output:

[1449] Input: List of relevant nutrients

[1450] Output: List of foods rich in nutrients

[1451] Step 5:

[1452] The emotional engine analyzes your emotional state and customizes the recipe.

[1453] Specific behavior:

[1454] The emotion engine receives and analyzes emotional data called "stress."

[1455] The emotional engine identifies ingredients and cooking methods that have a relaxing effect (e.g. herbal tea, aromatic oils).

[1456] The server updates the ingredient list and adjusts priorities based on the results of the emotion engine.

[1457] Input and Output:

[1458] Input: Emotional state data

[1459] Output: A list of ingredients and recipes that take relaxation into consideration

[1460] Step 6:

[1461] The server generates a recipe based on the ingredients and cooking method.

[1462] Specific behavior:

[1463] The server generates a recipe based on the ingredients and cooking method specified (e.g., "Stir-fried pork and spinach with herbs").

[1464] Generate recipe title, ingredients needed, and cooking steps.

[1465] Input and Output:

[1466] Input: Ingredient list and recipe list

[1467] Output: Specific recipe information

[1468] Step 7:

[1469] The server sends the generated recipe to the user's device.

[1470] Specific behavior:

[1471] The generated recipe data (title, required ingredients, cooking instructions) is sent to the user's device in JSON format.

[1472] The recipe will be displayed on the user's device and can be checked.

[1473] Input and Output:

[1474] Input: Recipe information

[1475] Output: Recipe display on user's device

[1476] Step 8:

[1477] The user receives and displays the recipe.

[1478] Specific behavior:

[1479] The recipe is displayed in an application on the user's device.

[1480] The user opens the recipe and sees the ingredients and cooking steps needed.

[1481] The user starts cooking according to the recipe and completes the dish.

[1482] Input and Output:

[1483] Input: Recipe display data

[1484] Output: User recipe browsing and cooking preparation

[1485] Through this series of processing steps, the user can receive optimal meal suggestions based on their current health and emotional state.

[1486] (Application example 2)

[1487] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1488] In modern society, there is a demand for meal suggestions that take into account the user's health and emotional state, but there are very few systems that provide recipes that individually address these conditions. Furthermore, conventional systems cannot customize recipes that take the user's emotional state into account or provide cooking support in a virtual environment, resulting in a lack of convenience and satisfaction for users.

[1489] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1490] In this invention, the server includes means for identifying nutrients needed based on a physical condition selected by the user, means for acquiring a list of ingredients rich in the identified nutrients, means for generating a recipe based on the list of ingredients and combining it with an appropriate cooking method, means for providing the generated recipe to the user, means for recognizing the user's emotional state, means for customizing the recipe based on the emotional state, and means for providing interactive cooking support to the user in a virtual space. This enables the provision of optimal recipes tailored to the user's health and emotional state, and an interactive cooking experience in a virtual space.

[1491] "Physical discomfort" refers to any poor physical condition or health problems experienced by the user.

[1492] The "means for identifying necessary nutrients" refers to a method or device for identifying the appropriate nutritional components for the user's physical condition.

[1493] The "means for obtaining a list of ingredients" refers to a method or device for collecting or obtaining a list of ingredients that are rich in a specified nutrient.

[1494] The "means for generating a recipe" refers to a method or device for creating a cooking recipe by combining the acquired ingredient list and cooking method.

[1495] "Means for providing a recipe to a user" refers to a method or device for transmitting and presenting a generated recipe to a user terminal or the like.

[1496] "Emotional state" refers to the user's psychological emotional or mood state.

[1497] The "means for recognizing an emotional state" is a method or device for detecting a user's emotions and understanding their state.

[1498] A "means for customizing a recipe" is a method or device for adjusting the recipe content based on the user's emotional state and providing it in an optimal form for the user.

[1499] A "means for providing interactive cooking support in a virtual space" is a method or device for providing real-time assistance and guidance to a user while cooking in a virtual environment.

[1500] A "server" is a computer system that receives information from a user, performs the necessary processing, and provides the results to the user.

[1501] The present invention provides a system that provides recipes based on the user's health and emotional state and provides interactive cooking support in a virtual space. Specifically, the system is implemented in the following steps.

[1502] System Overview

[1503] The system consists of the following main components:

[1504] 1. User terminal: A device where the user inputs information and receives recipes.

[1505] 2. Server: A computer system that processes data from users and generates recipes.

[1506] 3. Database: A storage system that stores nutrients, ingredients, recipes, and sentiment data.

[1507] 4. Emotion Engine: It has the ability to recognize the user's emotional state and customize recipes based on that.

[1508] User Device

[1509] The user terminal uses a device such as an HMD (head-mounted display). The user inputs their health condition (e.g., fatigue, rough skin, constipation, etc.) and emotional state (e.g., stress, happiness, etc.), and is also used for an interactive cooking experience in a virtual space.

[1510] Processing flow (user)

[1511] 1. The user launches the application and logs in.

[1512] 2. Select and enter the appropriate physical condition from the list of physical conditions.

[1513] 3. Recognize emotional states using input devices and image analysis.

[1514] 4. Click the Send button to send the input to the server.

[1515] server

[1516] Based on the data received from the user, the server identifies the nutrients needed to treat the illness and retrieves a list of ingredients that contain them.The server also uses an emotion engine to analyze the user's emotional state, generating an appropriate recipe and sending it back to the user's device.

[1517] Processing flow (server)

[1518] 1. Receive health and emotional state data submitted by users.

[1519] 2. Query the database to identify nutrients associated with ailments.

[1520] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[1521] 4. The emotion engine analyzes the user's emotion data and adjusts the priority of nutrients, while simultaneously selecting complementary ingredients and cooking methods based on the emotion data.

[1522] 5. Generate recipes based on combinations of ingredients and cooking methods.

[1523] 6. Send the generated recipe to the user device.

[1524] Emotion Engine

[1525] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state. For example, if the user is feeling stressed, it will recommend foods and menus that have a relaxing effect.

[1526] Database

[1527] The database stores various nutrients, foods rich in them, suitable recipes, and data related to emotions. The server accesses this database to retrieve the necessary information.

[1528] Specific examples

[1529] Example 1: If the user selects "easily tired" and "stressed"

[1530] 1. User (operation on device)

[1531] The user opens the app and logs in.

[1532] Select "tired easily" from the list of physical ailments, and select "stress" from the emotional state and send.

[1533] 2. Server

[1534] The server receives information such as "easily tired" and "stressed" sent by the user.

[1535] Identify the nutrients necessary for fatigue recovery from the database.

[1536] Get a list of foods that are high in each nutrient.

[1537] The emotional engine receives the "stress" and considers ingredients and cooking methods that have a relaxing effect.

[1538] A recipe is generated based on this data.

[1539] The generated recipe is sent to the user's device.

[1540] 3. User (operation on the device)

[1541] The user receives the recipe and checks it on the screen.

[1542] Cook according to the recipe and enjoy your meal while also hoping for a relaxing effect.

[1543] Prompt Sentence Examples

[1544] "My physical condition is 'I get tired easily' and my emotional state is 'stressed.' Based on this, please recommend some recipes that are both nutritious and relaxing."

[1545] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1546] Step 1:

[1547] The user starts up the device and logs in to the application. The user's login information (username and password) is required as input, and the main screen is displayed as output if the login is successful. The entered login information is checked against the authentication server, and if it is correct, the user's profile information is obtained and displayed on the main screen.

[1548] Step 2:

[1549] The user selects and inputs the relevant physical complaint from a list of physical complaints. The input requires the user's selected physical complaint (e.g., "easily tired"), and the output is sent to the server. The user selects the physical complaint using drop-down menus and check boxes, and prepares it to be sent to the database.

[1550] Step 3:

[1551] The user inputs their emotional state, or the device's camera is used to recognize their emotional state through image analysis. The input requires the user's emotional state (e.g., "stress") or a face image, and the emotional state data is sent to the server as output. The image data from the camera is analyzed by the emotion engine (using TensorFlow) and a tag for the emotional state (e.g., "stress") is obtained.

[1552] Step 4:

[1553] The server receives data about physical symptoms and emotional states sent by the user. As input, the user's physical symptoms and emotional state data are required, and as output, these data are stored internally on the server. The server receives the HTTP request and stores the data in an appropriate format.

[1554] Step 5:

[1555] The server queries the database to identify nutrients associated with disorders. It requires physical disorder data as input and a list of identified nutrients as output. The server queries the database table and extracts nutrients (e.g., vitamins, minerals) associated with the specified disorder.

[1556] Step 6:

[1557] The server retrieves a list of ingredients that are high in the specified nutrients from the database. It takes the list of specified nutrients as input and gets the list of ingredients as output. The server queries another table in the database to list ingredients that are high in each nutrient.

[1558] Step 7:

[1559] The emotion engine analyzes the user's emotional data and adjusts the priority of nutrients. At the same time, it selects complementary ingredients and cooking methods based on the emotional data. It requires the user's emotional state and a list of nutrients as input, and provides a prioritized list of ingredients and cooking methods as output. The emotion engine uses a TensorFlow model to analyze the emotional data and select ingredients with a relaxing effect and appropriate cooking methods.

[1560] Step 8:

[1561] The server generates recipes based on combinations of ingredients and cooking methods. It requires a prioritized list of ingredients and cooking methods as input, and the completed recipe as output. The server uses a recipe generation algorithm to create a specific recipe (title, required ingredients, cooking steps) for each combination of ingredients and cooking methods.

[1562] Step 9:

[1563] The server sends the generated recipe to the user device. It requires the generated recipe as input and sends the recipe data to the user device as output. The server converts the recipe data into an appropriate format and sends it to the user device as an HTTP response.

[1564] Step 10:

[1565] The user receives the recipe and checks it on the device screen. The received recipe data is required as input, and the recipe content is displayed on the user's screen as output. The user uses the virtual kitchen environment to cook while following visual and audio guidance.

[1566] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1567] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1568] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1569] [Fourth embodiment]

[1570] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1571] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1572] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1573] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1574] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1575] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1576] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1577] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1578] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1579] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1580] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1581] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1582] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1583] As an embodiment of the present invention, a system for providing recipes that take into account a user's health condition will be described. This system has a function for identifying necessary nutrients based on a physical condition selected by the user and generating recipes using ingredients containing those nutrients.

[1584] System Overview

[1585] The system consists of the following main components:

[1586] 1. User Device

[1587] 2. Server

[1588] 3. Database

[1589] User Device

[1590] The user terminal is a device that allows users to access the system and input their physical condition. By inputting their own health condition (e.g., fatigue, rough skin, constipation, etc.), the system will suggest ingredients and cooking methods that will replenish the relevant nutrients.

[1591] Processing flow (user)

[1592] 1. The user launches the application and logs in.

[1593] 2. Select and enter the appropriate physical condition from the list of physical conditions.

[1594] 3. Click the "Submit" button to send the input to the server.

[1595] server

[1596] Based on the data received from the user, the server identifies the nutrients necessary for the illness, obtains a list of ingredients that contain those nutrients, and then generates an appropriate recipe and sends it back to the user's device.

[1597] Processing flow (server)

[1598] 1. Receive data about physical conditions sent by users.

[1599] 2. Query the database to identify nutrients associated with the disorder.

[1600] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[1601] 4. Generate recipes based on combinations of ingredients and cooking methods.

[1602] 5. Send the generated recipe to the user device.

[1603] Database

[1604] The database stores various nutrients, ingredients rich in them, and suitable recipes. The server accesses this database to obtain the necessary information.

[1605] Specific examples

[1606] Example 1: If the user selects "I get tired easily"

[1607] 1. User (operation on device)

[1608] The user opens the app and logs in.

[1609] Select "easily tired" from the list of physical ailments and submit.

[1610] 2. Server

[1611] The server receives the information sent by the user that "I get tired easily."

[1612] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[1613] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[1614] Generate a recipe for "Stir-fried Pork and Spinach" using these ingredients.

[1615] Title: "Stir-fried pork and spinach"

[1616] Ingredients needed: Pork, spinach, salt, pepper, oil

[1617] Cooking Instructions:

[1618] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[1619] 2. Add oil to a frying pan and fry the pork.

[1620] 3. Once the meat is cooked through, add the spinach and continue to stir fry.

[1621] 4. Season with salt and pepper.

[1622] The generated recipe is sent to the user's device.

[1623] 3. User (operation on the device)

[1624] The user receives the recipe and checks it on the screen.

[1625] Cook the food according to the recipe.

[1626] This system allows users to easily prepare the optimal meals according to their current health condition, which will also facilitate nutritional management in daily life and lead to improved health.

[1627] The processing flow will be explained below.

[1628] Step 1:

[1629] The user launches the application and logs in. On the app's home screen, the user selects the physical condition they wish to improve.

[1630] Step 2:

[1631] The user selects a specific symptom from the list, such as "easily tired," and presses the "Submit" button to send the selection to the server.

[1632] Step 3:

[1633] The server receives data on the user's condition, such as "I get tired easily."

[1634] Step 4:

[1635] The server queries the database to identify necessary nutrients (such as vitamin B1, iron, and calcium) associated with "easily fatigued."

[1636] Step 5:

[1637] The server retrieves a list of ingredients based on nutrients from a database, such as pork, which is rich in vitamin B1, spinach, which is rich in iron, and dairy products, which are rich in calcium.

[1638] Step 6:

[1639] The server searches for an appropriate recipe based on the list of ingredients it has retrieved. For example, it generates a recipe for "Stir-fried pork and spinach" using pork and spinach.

[1640] Step 7:

[1641] The server-generated recipe contains the following information:

[1642] Title: "Stir-fried pork and spinach"

[1643] Ingredients needed: Pork, spinach, salt, pepper, oil

[1644] Cooking Instructions:

[1645] 1. Cut the pork into small pieces.

[1646] 2. Wash the spinach and cut it into bite-sized pieces.

[1647] 3. Add oil to a frying pan and fry the pork.

[1648] 4. Once the meat is cooked, add the spinach and continue to stir fry.

[1649] 5. Season with salt and pepper.

[1650] Step 8:

[1651] The server sends the generated recipe to the user's device.

[1652] Step 9:

[1653] The device analyzes the recipe data it receives and displays it in a format that is easy for the user to read.

[1654] Step 10:

[1655] The user checks the recipe screen and prepares the dish according to the recipe presented. If there is anything they don't understand while cooking, they can refer to supplementary information or video explanations within the app.

[1656] Example 1

[1657] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1658] In today's busy lifestyles, people tend to neglect their own health management. As a result, health conditions often deteriorate due to nutritional imbalances. Current recipe provision systems lack customization based on individual users' health conditions, making it difficult to provide recipes containing the optimal nutrients for specific health issues.

[1659] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1660] In this invention, the server includes means for identifying necessary nutrients based on a physical condition selected by the user, means for acquiring a list of ingredients rich in the identified nutrients, means for generating recipes based on the ingredient list and combining them with appropriate cooking methods, means for generating the generated recipes using a natural language processing model, and means for converting the generated recipes into PDF format and sending them to a user terminal. This allows users to easily obtain optimal recipes tailored to their own health condition, facilitating nutritional management in their daily lives.

[1661] "Means for identifying nutrient needs based on a user-selected physical condition" refers to a device or software that analyzes health status data entered by a user and identifies appropriate nutrients.

[1662] The "means for obtaining a list of ingredients that are rich in the identified nutrients" refers to a device or software for searching a database for ingredients that correspond to the identified nutrients and obtaining them as a list.

[1663] The "means for generating a recipe that combines appropriate cooking methods based on the ingredient list" refers to a device or software that uses the acquired ingredients and combines the corresponding cooking procedures to create a recipe.

[1664] The "means for generating the generated recipe using a natural language processing model" refers to a device or software for generating a text-format recipe from input data using natural language processing techniques.

[1665] "Means for converting the generated recipe into PDF format and sending it to the user terminal" refers to a device or software for converting the generated recipe into PDF format and sending it to the user terminal.

[1666] "Means for users to input said physical discomfort using a terminal" refers to a device or software that allows users to input health status data through a computer or mobile device they use.

[1667] "Recipes are customized based on the user's health status" refers to the feature that creates recipes using specific nutrients and ingredients tailored to individual needs based on the health data entered by the user.

[1668] MODE FOR CARRYING OUT THE INVENTION

[1669] As an embodiment of the present invention, a system that provides recipes that take into account the user's health condition will be described. This system has the function of identifying necessary nutrients based on a physical condition selected by the user and generating recipes using ingredients that are rich in those nutrients. The main components of this system are as follows:

[1670] User Device

[1671] The user terminal is the device through which the user accesses the system and inputs information about their physical condition. Specifically, this includes smartphones, tablets, and PCs. After launching the application and logging in, the user selects their condition (e.g., fatigue, rough skin, constipation, etc.) on the health condition input screen. The selected information is sent to the server by pressing the "Send" button.

[1672] server

[1673] The server analyzes the data received from the user and generates the optimal recipe based on the user's health condition. The server is built using Python-based Flask and has the ability to process the received user data.

[1674] The server first identifies the nutrients needed based on the symptoms entered by the user. In this case, it sends a query to a database (PostgreSQL) to identify the relevant nutrients. Next, it retrieves a list of ingredients that are rich in the necessary nutrients from the database.

[1675] The server then uses Natural Language Processing (NLP) technology to generate recipes combining ingredients and cooking methods, utilizing generative AI models such as GPT-3, and converts the generated recipes into PDF format and sends them to the user's device.

[1676] Database

[1677] The database stores various nutrients, ingredients rich in them, and suitable recipes. The server accesses this database to obtain the necessary information.

[1678] Specific examples

[1679] Example 1: If the user selects "I get tired easily"

[1680] 1. User (operation on device)

[1681] The user opens the app and logs in.

[1682] Select "easily tired" from the list of physical ailments and submit.

[1683] 2. Server

[1684] The server receives the information sent by the user that "I get tired easily."

[1685] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[1686] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[1687] Generate a recipe for "Stir-fried Pork and Spinach" using these ingredients.

[1688] Title: "Stir-fried pork and spinach"

[1689] Ingredients needed: Pork, spinach, salt, pepper, oil

[1690] Cooking Instructions:

[1691] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[1692] 2. Add oil to a frying pan and fry the pork.

[1693] 3. Once the meat is cooked through, add the spinach and continue to stir fry.

[1694] 4. Season with salt and pepper.

[1695] The generated recipe is converted into PDF format and sent to the user's device.

[1696] 3. User (operation on the device)

[1697] Users receive a recipe, check it on the screen, and then cook the dish.

[1698] Prompt Sentence Examples

[1699] Examples of prompts include:

[1700] "What nutrients are necessary to improve fatigue?"

[1701] "Please tell me some easy recipes using ingredients that are rich in vitamin B1, iron, and calcium."

[1702] "Generate a recipe using the following ingredients: pork, spinach, and dairy."

[1703] This system allows users to easily prepare the optimal meals according to their current health condition, making it easier to manage nutrition in daily life and potentially improving their health.

[1704] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1705] Step 1:

[1706] The user launches the application on their smartphone or computer and logs in. The login screen appears and the user enters their username and password. Once the input is complete, they press the login button. This input data (username and password) is sent to the server, where authentication takes place. The server queries the database to verify the authentication information. If authentication is successful, the user can proceed to the health status input screen.

[1707] Step 2:

[1708] On the health condition input screen, the user selects their physical condition from a list of conditions (e.g., fatigue, rough skin, constipation, etc.). Once selection is complete, the user presses the "Send" button. This selection information is sent to the server. The server receives the condition data sent by the user and analyzes its contents.

[1709] Step 3:

[1710] The server sends a query to the database based on the symptom data submitted by the user. This query is to identify the nutrients (e.g., vitamin B1, iron, calcium, etc.) needed for the corresponding symptom (e.g., "easily tired"). The database returns the nutrient information. The server receives this data and creates a list of nutrients needed to correspond to the symptom.

[1711] Step 4:

[1712] The server then queries the database again to obtain a list of ingredients that are high in the specified nutrients. The database returns the ingredient information, and the server creates a list of these ingredients. Specifically, it obtains ingredients that are high in vitamin B1 (e.g., pork), ingredients that are high in iron (e.g., spinach), and ingredients that are high in calcium (e.g., dairy products).

[1713] Step 5:

[1714] The server generates a recipe based on the obtained ingredient list and the identified nutrients. In this process, the server uses a generative AI model (e.g., GPT-3). A prompt is input to this model. For example, "Please generate a simple recipe that contains vitamin B1, iron, and calcium." The generative AI model generates a text recipe based on the prompt, and the server receives it.

[1715] Step 6:

[1716] The server converts the generated recipe into PDF format using a Python library to format the generated text as a PDF document that includes the recipe title, ingredients needed, cooking instructions, etc.

[1717] Step 7:

[1718] The server converts the recipe into PDF format and sends it to the user's device. This is done via email or in-app notification. The user's device receives the recipe data and displays it on the screen.

[1719] Step 8:

[1720] The user opens and views the recipe sent to the device. Specifically, the user checks the recipe within the application and refers to the necessary ingredients and cooking steps. The user can then cook the dish based on this recipe.

[1721] (Application example 1)

[1722] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1723] In modern society, irregular eating habits and poor nutritional balance due to busy lifestyles have become serious problems. In addition, it is difficult for individuals to choose appropriate meals according to their individual health conditions, and maintaining an effective diet is particularly important when physical ailments occur repeatedly. There is also a demand for convenience and rapid delivery of meals. Therefore, a system is needed that proposes recipes based on the user's health condition and quickly delivers meals prepared based on those recipes.

[1724] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1725] In this invention, the server includes a means for identifying necessary nutrients based on a physical condition selected by the user, a means for acquiring a list of ingredients rich in the identified nutrients, a means for generating recipes based on the list of ingredients and combining them with appropriate cooking methods, and a delivery means for providing meals cooked based on the generated recipes. This makes it possible to propose optimal meals according to the individual user's health condition and deliver them quickly.

[1726] "Physical ailments selected by the user" refers to the user inputting information about their physical condition and selecting a specific ailment (e.g., fatigue, rough skin, constipation, etc.).

[1727] "Means for identifying necessary nutrients" refers to a method or technology for identifying, from a database, etc., the nutrients needed to improve a physical condition selected by the user.

[1728] "Means for obtaining a list of ingredients rich in nutrients" refers to a method or technology for searching a database for ingredients rich in a specified nutrient and obtaining the list.

[1729] "Means for generating a recipe combined with an appropriate cooking method" refers to a method or technology for creating a recipe based on an acquired list of ingredients by combining steps for appropriately cooking them.

[1730] "Means for providing the generated recipe to the user" refers to a method or technology for displaying or transmitting the generated recipe to the user.

[1731] "Delivery means for providing meals prepared based on the generated recipe" refers to the method or technology for delivering meals prepared based on the generated recipe to a location specified by the user.

[1732] The following system configuration and processing flow will be described as an embodiment of the present invention.

[1733] The system mainly consists of three main components: user terminals, servers, and databases.

[1734] User Device

[1735] The user terminal is the device through which the user accesses the system and inputs information about their physical condition. For example, a smartphone or tablet would be an example. The user launches the application on the terminal, logs in, and selects and inputs their health condition (e.g., fatigue, rough skin, constipation, etc.). This information is sent to the server.

[1736] server

[1737] The server identifies the nutrients needed to treat the illness based on the data received from the user and retrieves a list of ingredients that contain them. The server uses the Flask framework in Python and SQLite as the database. This server performs the following tasks:

[1738] 1. Receive data about physical conditions sent by users.

[1739] 2. Query the database to identify nutrients associated with the disorder.

[1740] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[1741] 4. Generate recipes based on combinations of ingredients and cooking methods.

[1742] 5. The generated recipe is sent back to the user's device.

[1743] 6. Additionally, deliveries are made to provide meals prepared based on recipes.

[1744] Database

[1745] The database stores various nutrients, ingredients rich in them, and suitable recipes. The server accesses this database to obtain the necessary information.

[1746] Specific examples

[1747] Below is a concrete example of how this system works:

[1748] Example 1: If the user selects "I get tired easily"

[1749] 1. User (operation on device)

[1750] The user opens the app and logs in.

[1751] Select "easily tired" from the list of physical ailments and submit.

[1752] 2. Server

[1753] The server receives the information sent by the user that "I get tired easily."

[1754] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[1755] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[1756] Generate a recipe for "Stir-fried Pork and Spinach" using these ingredients.

[1757] Title: "Stir-fried pork and spinach"

[1758] Ingredients needed: Pork, spinach, salt, pepper, oil

[1759] Cooking Instructions:

[1760] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[1761] 2. Add oil to a frying pan and fry the pork.

[1762] 3. Once the meat is cooked through, add the spinach and continue to stir fry.

[1763] 4. Season with salt and pepper.

[1764] The generated recipe is sent to the user's device.

[1765] When an order is placed, it is cooked according to the recipe and delivered.

[1766] Prompt Sentence Examples

[1767] "The user selects their skin condition. In this case, we provide ingredients and recipes that are rich in vitamin C and zinc."

[1768] This makes it easy to provide optimal meals according to the user's health condition, making it easier to manage nutrition in daily life. In addition, adding a delivery function will further enhance user convenience.

[1769] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1770] Step 1:

[1771] The user uses a terminal to launch the application and log in. User authentication information is required as input, and a message indicating authentication success or failure is displayed as output.

[1772] Step 2:

[1773] The user selects and inputs their physical condition in the application on the device. The input requires the selection of a health condition (e.g., easily fatigued, rough skin, constipation, etc.), and the selection is ready to be sent to the server as output.

[1774] Step 3:

[1775] The terminal transmits the inputted malfunction data to the server. The selected malfunction data is required as input, and the malfunction data is transmitted to the server as output.

[1776] Step 4:

[1777] The server receives the user's complaint data. As input, the user's complaint data is required, and as output, this data is stored in the server's temporary memory.

[1778] Step 5:

[1779] The server queries the database to identify nutrients associated with the received illness data. The illness data is required as input, and a list of identified nutrients is obtained as output. Specifically, the nutrient data is extracted using an SQL query.

[1780] Step 6:

[1781] The server retrieves a list of ingredients that are rich in the specified nutrients from the database. The server receives the list of nutrients as input and retrieves the corresponding list of ingredients as output.

[1782] Step 7:

[1783] The server generates a recipe based on the acquired ingredient list, combining it with an appropriate cooking method. The ingredient list is required as input, and the generated recipe data is generated as output. A recipe generation algorithm is used to process the data.

[1784] Step 8:

[1785] The server sends the generated recipe to the user terminal, which requires the generated recipe data as input and displays the recipe on the user terminal as output.

[1786] Step 9:

[1787] The user checks the recipe on the device and orders food delivery if necessary. The inputs are the recipe checking and ordering interfaces, and the output is the order data sent to the server.

[1788] Step 10:

[1789] The server outputs cooking instructions based on the received order data and arranges for delivery to provide the meal. Order data is required as input, and delivery and cooking instructions are sent to the restaurant or delivery company as output.

[1790] This will enable the system to suggest optimal meals based on the user's health condition and deliver them quickly.

[1791] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1792] As an embodiment of the present invention, a system for providing recipes that take into account a user's health and emotional state will be described. This system includes a function for identifying necessary nutrients based on a physical condition selected by the user and generating recipes using ingredients containing those nutrients. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, more personalized recipes can be provided.

[1793] System Overview

[1794] The system consists of the following main components:

[1795] 1. User Device

[1796] 2. Server

[1797] 3. Database

[1798] 4. Emotion Engine

[1799] User Device

[1800] The user terminal is a device that allows users to access the system and input their physical ailments and emotional state. By inputting their health condition (e.g., fatigue, rough skin, constipation, etc.) and emotional state (e.g., stress, happiness, etc.), the system will suggest ingredients and cooking methods that will replenish the corresponding nutrients.

[1801] Processing flow (user)

[1802] 1. The user launches the application and logs in.

[1803] 2. Select and enter the appropriate physical condition from the list of physical conditions.

[1804] 3. Select and enter your emotional state.

[1805] 4. Click the "Submit" button to send the input to the server.

[1806] server

[1807] Based on the data received from the user, the server identifies the nutrients necessary for the illness and obtains a list of ingredients that contain them. It then analyzes the user's emotional state using an emotion engine, generates an appropriate recipe, and sends it back to the user's device.

[1808] Processing flow (server)

[1809] 1. Receive data about physical discomfort and emotional state sent by the user. For example, receive information about "easily tired" and "stressed."

[1810] 2. Query the database to identify nutrients (vitamin B1, iron, calcium, etc.) associated with the disorder.

[1811] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[1812] 4. The emotion engine analyzes the user's emotion data and adjusts the priority of nutrients, while simultaneously selecting complementary ingredients and cooking methods based on the emotion data.

[1813] 5. Generate recipes based on combinations of ingredients and cooking methods.

[1814] 6. Send the generated recipe to the user device.

[1815] Emotion Engine

[1816] The emotion engine recognizes the user's emotions and customizes recipes based on that, for example, if the user is feeling stressed, it will recommend ingredients and menu items that will have a relaxing effect.

[1817] Database

[1818] The database stores various nutrients, foods rich in them, suitable recipes, and data related to emotions. The server accesses this database to retrieve the necessary information.

[1819] Specific examples

[1820] Example 1: If the user selects "easily tired" and "stressed"

[1821] 1. User (operation on device)

[1822] The user opens the app and logs in.

[1823] Select "tired easily" from the list of physical ailments, and select "stress" from the emotional state and send.

[1824] 2. Server

[1825] The server receives information such as "easily tired" and "stressed" sent by the user.

[1826] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[1827] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[1828] The emotion engine receives "stress" and takes into account ingredients and cooking methods that have a relaxing effect (e.g., cooking using herbal tea or aromatic oils).

[1829] Based on this data, a recipe for "Stir-fried pork and spinach with herbs" is generated.

[1830] Title: "Stir-fried pork and spinach with herbs"

[1831] Ingredients needed: Pork, spinach, herbs, salt, pepper, oil

[1832] Cooking Instructions:

[1833] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[1834] 2. Add oil to a frying pan and fry the pork.

[1835] 3. Once the meat is cooked through, add the spinach and herbs and continue to stir fry.

[1836] 4. Season with salt and pepper.

[1837] The generated recipe is sent to the user's device.

[1838] 3. User (operation on the device)

[1839] The user receives the recipe and checks it on the screen.

[1840] Cook according to the recipe and enjoy the meal while hoping for a relaxing effect.

[1841] This system allows users to prepare the optimal meal based on their current health and emotional state. By combining it with an emotion engine, it is possible to suggest meals that take into account not only nutritional requirements but also psychological satisfaction and relaxation.

[1842] The processing flow will be explained below.

[1843] Step 1:

[1844] The user launches the application and logs in. On the app's home screen, the user selects the physical condition they wish to improve.

[1845] Step 2:

[1846] The user selects a specific symptom from a list, such as "easily tired," enters an emotional state, such as "stress," and presses the "Submit" button to send the selection to the server.

[1847] Step 3:

[1848] The server receives the data on the user's condition and emotions. For example, it receives information such as "easily tired" and "stressed."

[1849] Step 4:

[1850] The server queries the database to identify necessary nutrients (such as vitamin B1, iron, and calcium) associated with "easily fatigued."

[1851] Step 5:

[1852] The server retrieves from the database a list of ingredients that are rich in the specified nutrients, such as pork, which is rich in vitamin B1, spinach, which is rich in iron, and dairy products, which are rich in calcium.

[1853] Step 6:

[1854] The server uses an emotion engine to analyze the user's emotional state (e.g., stress) and adjusts nutrient priorities and complementary ingredients.

[1855] Step 7:

[1856] The server chooses a complementary recipe based on your emotional state and combines it with the ingredients you've acquired, for example, using herbs that have a relaxing effect.

[1857] Step 8:

[1858] The server generates the optimal recipe, for example, "Stir-fried pork and spinach with herbs."

[1859] Title: "Stir-fried pork and spinach with herbs"

[1860] Ingredients needed: Pork, spinach, herbs, salt, pepper, oil

[1861] Cooking Instructions:

[1862] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[1863] 2. Add oil to a frying pan and fry the pork.

[1864] 3. Once the meat is cooked through, add the spinach and herbs and continue to stir fry.

[1865] 4. Season with salt and pepper.

[1866] Step 9:

[1867] The server sends the generated recipe to the user's device.

[1868] Step 10:

[1869] The device analyzes the recipe data it receives and displays it in a format that is easy for the user to read.

[1870] Step 11:

[1871] The user checks the recipe screen and prepares the dish according to the recipe presented. If there is anything they don't understand while cooking, they can refer to supplementary information or video explanations within the app.

[1872] Example 2

[1873] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1874] In modern society, many people live with stress and discomfort. This creates a demand for meal suggestions that are suited to each individual's health and emotional state. However, conventional recipe suggestion systems are unable to take the user's emotional state into account, and do not adequately suggest meals that provide psychological satisfaction or relaxation. To solve this problem, a system is needed that suggests recipes that simultaneously consider the user's health and emotional state.

[1875] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1876] In this invention, the server includes a means for identifying nutrients needed based on a physical condition selected by the user, a means for acquiring a list of ingredients rich in the identified nutrients, a means for recognizing and analyzing the user's emotional state, and a means for customizing recipes based on the analysis, thereby enabling nutritionally balanced recipes to be proposed according to the user's health and emotional state, as well as meal suggestions that take into consideration psychological satisfaction and relaxation.

[1877] A "user" is someone who uses the system to input their own health and emotional state and receives suggested recipes.

[1878] "Physical discomfort" refers to problems or symptoms related to the user's health, including, for example, fatigue, constipation, and skin problems.

[1879] "Necessary nutrients" refers to nutritional components such as vitamins and minerals that are necessary to improve the user's physical condition.

[1880] "Ingredient list" refers to a list of ingredients that contain a lot of a particular nutrient.

[1881] "Cooking method" refers to the steps and methods for processing and cooking ingredients.

[1882] A "recipe" is a set of instructions for preparing a dish using specific ingredients and cooking methods.

[1883] "Emotional state" refers to the emotions or psychological state a user is feeling, and examples include stress, happiness, etc.

[1884] "Emotion engine" refers to software or hardware functionality for recognizing and analyzing a user's emotional state.

[1885] "Customize" refers to changing or adjusting content based on a user's specific conditions or state.

[1886] As an embodiment of the present invention, we will describe a system that provides recipes that take into account the user's health and emotional state. This system includes a function that identifies necessary nutrients based on physical ailments selected by the user and generates recipes using ingredients containing those nutrients. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, we can provide more personalized recipes.

[1887] System Overview

[1888] The system consists of the following main components:

[1889] 1. User Device

[1890] 2. Server

[1891] 3. Database

[1892] 4. Emotion Engine

[1893] User Device

[1894] The user terminal is a device through which users can access the system and input their physical ailments and emotional state. By inputting their health condition (e.g., fatigue, rough skin, constipation, etc.) and emotional state (e.g., stress, happiness, etc.), the system can suggest ingredients and cooking methods that will replenish the relevant nutrients.

[1895] The user launches the application from their device and logs in. They select and enter the relevant physical ailment from a list, select and enter their emotional state, and then press the "Send" button to send the data to the server.

[1896] server

[1897] Based on the data received from the user, the server identifies the nutrients necessary for the illness and obtains a list of ingredients that contain them. It then analyzes the user's emotional state using an emotion engine, generates an appropriate recipe, and sends it back to the user's device.

[1898] The server first receives data on the user's physical ailments and emotional state, queries the database to identify nutrients related to the ailment, and retrieves a list of ingredients rich in the identified nutrients from the database. The emotion engine analyzes the user's emotional data, adjusts the priority of nutrients, and selects complementary ingredients and cooking methods based on the emotional data. Finally, a recipe based on the combination of ingredients and cooking methods is generated and sent to the user's device.

[1899] Emotion Engine

[1900] The emotion engine recognizes the user's emotions and customizes recipes based on them. For example, if the user is feeling stressed, it will recommend ingredients and menu items that have a relaxing effect. The emotion engine uses advanced algorithms to analyze emotional data and respond to the user's psychological needs at that time.

[1901] Database

[1902] The database stores data related to various nutrients, ingredients that contain them, appropriate recipes, and emotions. The server accesses this database to obtain the necessary information. The database contains detailed records of the effects of each nutrient, ingredient information, and cooking methods.

[1903] Specific examples

[1904] Example 1: If the user selects "easily tired" and "stressed"

[1905] 1. User (operation on device)

[1906] The user opens the app and logs in.

[1907] Select "tired easily" from the list of physical ailments, and select "stress" from the emotional state and send.

[1908] 2. Server

[1909] The server receives information such as "easily tired" and "stressed" sent by the user.

[1910] Identify nutrients necessary for fatigue recovery (e.g., vitamin B1, iron, calcium) from a database.

[1911] Get a list of foods containing vitamin B1 (e.g., pork), iron (e.g., spinach), and calcium (e.g., dairy products).

[1912] The emotion engine receives "stress" and takes into account ingredients and cooking methods that have a relaxing effect (e.g., cooking using herbal tea or aromatic oils).

[1913] Based on this data, a recipe for "Stir-fried pork and spinach with herbs" is generated.

[1914] Title: "Stir-fried pork and spinach with herbs"

[1915] Ingredients needed: Pork, spinach, herbs, salt, pepper, oil

[1916] Cooking Instructions:

[1917] 1. Cut the pork into small pieces, wash the spinach and cut it into bite-sized pieces.

[1918] 2. Add oil to a frying pan and fry the pork.

[1919] 3. Once the meat is cooked through, add the spinach and herbs and continue to stir fry.

[1920] 4. Season with salt and pepper.

[1921] The generated recipe is sent to the user's device.

[1922] 3. User (operation on the device)

[1923] The user receives the recipe and checks it on the screen.

[1924] Cook according to the recipe and enjoy the meal while hoping for a relaxing effect.

[1925] Example prompts to input to the generative AI model

[1926] The following prompts can be used:

[1927] "Based on the user's fatigue level and stress level, generate recipes that take into account the nutrients they need, a list of ingredients that contain them, and cooking methods that will have a relaxing effect."

[1928] "Considering the user's condition as fatigue and their emotional state as stress, please tell me recipes for dishes that have a relaxing effect using ingredients containing vitamin B1, iron, and calcium."

[1929] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1930] Step 1:

[1931] The user launches the application and logs in.

[1932] Specific behavior:

[1933] The application login screen appears.

[1934] The user enters their login credentials (username and password) and clicks the "Login" button.

[1935] The login data is sent to the server, where the user is authenticated.

[1936] After successful authentication, the following screen will be displayed on the user's device.

[1937] Input and Output:

[1938] Input: Username and Password

[1939] Output: User authentication result (success or failure)

[1940] Step 2:

[1941] The user inputs and submits their physical condition and emotional state.

[1942] Specific behavior:

[1943] Once you have successfully logged in, a screen will appear where you can enter your symptoms and emotions.

[1944] The user selects check boxes such as "easily tired" or "stressed" and clicks the "Submit" button.

[1945] The user's selections are sent to the server in JSON format.

[1946] Input and Output:

[1947] Input: Physical discomfort items and emotional state items

[1948] Output: A JSON request containing the user's selections.

[1949] Step 3:

[1950] The server analyzes the data received from the user and identifies the nutrients needed.

[1951] Specific behavior:

[1952] The server analyzes the received data in JSON format and recognizes that the symptoms are "easily tired" and "stressed."

[1953] An SQL query is run against the database to search for nutrients (vitamin B1, iron, calcium, etc.) related to the symptom of "easily tired."

[1954] The database returns the relevant nutrient information to the server.

[1955] Input and Output:

[1956] Input: User selection data in JSON format

[1957] Output: List of relevant nutrients

[1958] Step 4:

[1959] The server obtains a list of ingredients containing the specified nutrients.

[1960] Specific behavior:

[1961] The server obtains a list of ingredients rich in each nutrient from the database.

[1962] Run an SQL query against the database to find ingredients that correspond to the nutrients.

[1963] The database returns the relevant ingredient information to the server.

[1964] Input and Output:

[1965] Input: List of relevant nutrients

[1966] Output: List of foods rich in nutrients

[1967] Step 5:

[1968] The emotional engine analyzes your emotional state and customizes the recipe.

[1969] Specific behavior:

[1970] The emotion engine receives and analyzes emotional data called "stress."

[1971] The emotional engine identifies ingredients and cooking methods that have a relaxing effect (e.g. herbal tea, aromatic oils).

[1972] The server updates the ingredient list and adjusts priorities based on the results of the emotion engine.

[1973] Input and Output:

[1974] Input: Emotional state data

[1975] Output: A list of ingredients and recipes that take relaxation into consideration

[1976] Step 6:

[1977] The server generates a recipe based on the ingredients and cooking method.

[1978] Specific behavior:

[1979] The server generates a recipe based on the ingredients and cooking method specified (e.g., "Stir-fried pork and spinach with herbs").

[1980] Generate recipe title, ingredients needed, and cooking steps.

[1981] Input and Output:

[1982] Input: Ingredient list and recipe list

[1983] Output: Specific recipe information

[1984] Step 7:

[1985] The server sends the generated recipe to the user's device.

[1986] Specific behavior:

[1987] The generated recipe data (title, required ingredients, cooking instructions) is sent to the user's device in JSON format.

[1988] The recipe will be displayed on the user's device and can be checked.

[1989] Input and Output:

[1990] Input: Recipe information

[1991] Output: Recipe display on user's device

[1992] Step 8:

[1993] The user receives and displays the recipe.

[1994] Specific behavior:

[1995] The recipe is displayed in an application on the user's device.

[1996] The user opens the recipe and sees the ingredients and cooking steps needed.

[1997] The user starts cooking according to the recipe and completes the dish.

[1998] Input and Output:

[1999] Input: Recipe display data

[2000] Output: User recipe browsing and cooking preparation

[2001] Through this series of processing steps, the user can receive optimal meal suggestions based on their current health and emotional state.

[2002] (Application example 2)

[2003] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[2004] In modern society, there is a demand for meal suggestions that take into account the user's health and emotional state, but there are very few systems that provide recipes that individually address these conditions. Furthermore, conventional systems cannot customize recipes that take the user's emotional state into account or provide cooking support in a virtual environment, resulting in a lack of convenience and satisfaction for users.

[2005] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[2006] In this invention, the server includes means for identifying nutrients needed based on a physical condition selected by the user, means for acquiring a list of ingredients rich in the identified nutrients, means for generating a recipe based on the list of ingredients and combining it with an appropriate cooking method, means for providing the generated recipe to the user, means for recognizing the user's emotional state, means for customizing the recipe based on the emotional state, and means for providing interactive cooking support to the user in a virtual space. This enables the provision of optimal recipes tailored to the user's health and emotional state, and an interactive cooking experience in a virtual space.

[2007] "Physical discomfort" refers to any poor physical condition or health problems experienced by the user.

[2008] The "means for identifying necessary nutrients" refers to a method or device for identifying the appropriate nutritional components for the user's physical condition.

[2009] The "means for obtaining a list of ingredients" refers to a method or device for collecting or obtaining a list of ingredients that are rich in a specified nutrient.

[2010] The "means for generating a recipe" refers to a method or device for creating a cooking recipe by combining the acquired ingredient list and cooking method.

[2011] "Means for providing a recipe to a user" refers to a method or device for transmitting and presenting a generated recipe to a user terminal or the like.

[2012] "Emotional state" refers to the user's psychological emotional or mood state.

[2013] The "means for recognizing an emotional state" is a method or device for detecting a user's emotions and understanding their state.

[2014] A "means for customizing a recipe" is a method or device for adjusting the recipe content based on the user's emotional state and providing it in an optimal form for the user.

[2015] A "means for providing interactive cooking support in a virtual space" is a method or device for providing real-time assistance and guidance to a user while cooking in a virtual environment.

[2016] A "server" is a computer system that receives information from a user, performs the necessary processing, and provides the results to the user.

[2017] The present invention provides a system that provides recipes based on the user's health and emotional state and provides interactive cooking support in a virtual space. Specifically, the system is implemented in the following steps.

[2018] System Overview

[2019] The system consists of the following main components:

[2020] 1. User terminal: A device where the user inputs information and receives recipes.

[2021] 2. Server: A computer system that processes data from users and generates recipes.

[2022] 3. Database: A storage system that stores nutrients, ingredients, recipes, and sentiment data.

[2023] 4. Emotion Engine: It has the ability to recognize the user's emotional state and customize recipes based on that.

[2024] User Device

[2025] The user terminal uses a device such as an HMD (head-mounted display). The user inputs their health condition (e.g., fatigue, rough skin, constipation, etc.) and emotional state (e.g., stress, happiness, etc.), and is also used for an interactive cooking experience in a virtual space.

[2026] Processing flow (user)

[2027] 1. The user launches the application and logs in.

[2028] 2. Select and enter the appropriate physical condition from the list of physical conditions.

[2029] 3. Recognize emotional states using input devices and image analysis.

[2030] 4. Click the Send button to send the input to the server.

[2031] server

[2032] Based on the data received from the user, the server identifies the nutrients needed to treat the illness and retrieves a list of ingredients that contain them.The server also uses an emotion engine to analyze the user's emotional state, generating an appropriate recipe and sending it back to the user's device.

[2033] Processing flow (server)

[2034] 1. Receive health and emotional state data submitted by users.

[2035] 2. Query the database to identify nutrients associated with ailments.

[2036] 3. Obtain a list of foods that are rich in the identified nutrients from the database.

[2037] 4. The emotion engine analyzes the user's emotion data and adjusts the priority of nutrients, while simultaneously selecting complementary ingredients and cooking methods based on the emotion data.

[2038] 5. Generate recipes based on combinations of ingredients and cooking methods.

[2039] 6. Send the generated recipe to the user device.

[2040] Emotion Engine

[2041] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state. For example, if the user is feeling stressed, it will recommend foods and menus that have a relaxing effect.

[2042] Database

[2043] The database stores various nutrients, foods rich in them, suitable recipes, and data related to emotions. The server accesses this database to retrieve the necessary information.

[2044] Specific examples

[2045] Example 1: If the user selects "easily tired" and "stressed"

[2046] 1. User (operation on device)

[2047] The user opens the app and logs in.

[2048] Select "tired easily" from the list of physical ailments, and select "stress" from the emotional state and send.

[2049] 2. Server

[2050] The server receives information such as "easily tired" and "stressed" sent by the user.

[2051] Identify the nutrients necessary for fatigue recovery from the database.

[2052] Get a list of foods that are high in each nutrient.

[2053] The emotional engine receives the "stress" and considers ingredients and cooking methods that have a relaxing effect.

[2054] A recipe is generated based on this data.

[2055] The generated recipe is sent to the user's device.

[2056] 3. User (operation on the device)

[2057] The user receives the recipe and checks it on the screen.

[2058] Cook according to the recipe and enjoy your meal while also hoping for a relaxing effect.

[2059] Prompt Sentence Examples

[2060] "My physical condition is 'I get tired easily' and my emotional state is 'stressed.' Based on this, please recommend some recipes that are both nutritious and relaxing."

[2061] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2062] Step 1:

[2063] The user starts up the device and logs in to the application. The user's login information (username and password) is required as input, and the main screen is displayed as output if the login is successful. The entered login information is checked against the authentication server, and if it is correct, the user's profile information is obtained and displayed on the main screen.

[2064] Step 2:

[2065] The user selects and inputs the relevant physical complaint from a list of physical complaints. The input requires the user's selected physical complaint (e.g., "easily tired"), and the output is sent to the server. The user selects the physical complaint using drop-down menus and check boxes, and prepares it to be sent to the database.

[2066] Step 3:

[2067] The user inputs their emotional state, or the device's camera is used to recognize their emotional state through image analysis. The input requires the user's emotional state (e.g., "stress") or a face image, and the emotional state data is sent to the server as output. The image data from the camera is analyzed by the emotion engine (using TensorFlow) and a tag for the emotional state (e.g., "stress") is obtained.

[2068] Step 4:

[2069] The server receives data about physical symptoms and emotional states sent by the user. As input, the user's physical symptoms and emotional state data are required, and as output, these data are stored internally on the server. The server receives the HTTP request and stores the data in an appropriate format.

[2070] Step 5:

[2071] The server queries the database to identify nutrients associated with disorders. It requires physical disorder data as input and a list of identified nutrients as output. The server queries the database table and extracts nutrients (e.g., vitamins, minerals) associated with the specified disorder.

[2072] Step 6:

[2073] The server retrieves a list of ingredients that are high in the specified nutrients from the database. It takes the list of specified nutrients as input and gets the list of ingredients as output. The server queries another table in the database to list ingredients that are high in each nutrient.

[2074] Step 7:

[2075] The emotion engine analyzes the user's emotional data and adjusts the priority of nutrients. At the same time, it selects complementary ingredients and cooking methods based on the emotional data. It requires the user's emotional state and a list of nutrients as input, and provides a prioritized list of ingredients and cooking methods as output. The emotion engine uses a TensorFlow model to analyze the emotional data and select ingredients with a relaxing effect and appropriate cooking methods.

[2076] Step 8:

[2077] The server generates recipes based on combinations of ingredients and cooking methods. It requires a prioritized list of ingredients and cooking methods as input, and the completed recipe as output. The server uses a recipe generation algorithm to create a specific recipe (title, required ingredients, cooking steps) for each combination of ingredients and cooking methods.

[2078] Step 9:

[2079] The server sends the generated recipe to the user device. It requires the generated recipe as input and sends the recipe data to the user device as output. The server converts the recipe data into an appropriate format and sends it to the user device as an HTTP response.

[2080] Step 10:

[2081] The user receives the recipe and checks it on the device screen. The received recipe data is required as input, and the recipe content is displayed on the user's screen as output. The user uses the virtual kitchen environment to cook while following visual and audio guidance.

[2082] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[2083] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[2084] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[2085] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[2086] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[2087] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[2088] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[2089] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[2090] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[2091] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[2092] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[2093] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[2094] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[2095] 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.

[2096] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[2097] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[2098] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[2099] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[2100] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[2101] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[2102] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[2103] The following is further disclosed regarding the above embodiment.

[2104] (Claim 1)

[2105] A means to identify nutritional needs based on user-selected physical complaints;

[2106] A means for acquiring a list of ingredients that are rich in the specified nutrients;

[2107] A means for generating a recipe based on the ingredient list and combining it with an appropriate cooking method;

[2108] means for providing the generated recipe to a user;

[2109] A system including:

[2110] (Claim 2)

[2111] 2. The system according to claim 1, further comprising means for a user to input said physical condition using a terminal.

[2112] (Claim 3)

[2113] The system of claim 1 , wherein the recipe is customized based on a user's health status.

[2114] "Example 1"

[2115] (Claim 1)

[2116] A means to identify nutritional needs based on user-selected physical complaints;

[2117] A means for acquiring a list of ingredients that are rich in the specified nutrients;

[2118] A means for generating a recipe based on the ingredient list and combining it with an appropriate cooking method;

[2119] means for providing the generated recipe to a user;

[2120] means for generating the generated recipe using a natural language processing model;

[2121] means for converting the generated recipe into a PDF format and transmitting the PDF format to a user terminal;

[2122] A system including:

[2123] (Claim 2)

[2124] 2. The system according to claim 1, further comprising means for a user to input said physical condition using a terminal.

[2125] (Claim 3)

[2126] The system of claim 1 , wherein the recipe is customized based on a user's health status.

[2127] "Application Example 1"

[2128] (Claim 1)

[2129] A means to identify nutritional needs based on user-selected physical complaints;

[2130] A means for acquiring a list of ingredients that are rich in the specified nutrients;

[2131] A means for generating a recipe based on the ingredient list and combining it with an appropriate cooking method;

[2132] means for providing the generated recipe to a user;

[2133] a delivery means for delivering meals prepared based on the generated recipes;

[2134] A system including:

[2135] (Claim 2)

[2136] 2. The system according to claim 1, further comprising means for a user to input said physical condition using a terminal.

[2137] (Claim 3)

[2138] The system of claim 1 , wherein the recipe is customized based on a user's health status.

[2139] "Example 2: Combining Emotion Engines"

[2140] (Claim 1)

[2141] A means to identify nutritional needs based on user-selected physical complaints;

[2142] A means for acquiring a list of ingredients that are rich in the specified nutrients;

[2143] A means for generating a recipe based on the ingredient list and combining it with an appropriate cooking method;

[2144] means for providing the generated recipe to a user;

[2145] a means for recognizing and analyzing the emotional state of a user;

[2146] means for customizing a recipe based on said emotional state analysis;

[2147] A system including:

[2148] (Claim 2)

[2149] 2. The system according to claim 1, further comprising means for a user to input said physical complaints and emotional state using a terminal.

[2150] (Claim 3)

[2151] 10. The system of claim 1, wherein the recipe is customized based on the user's health and emotional state.

[2152] "Application example 2 when combining emotion engines"

[2153] (Claim 1)

[2154] A means to identify nutritional needs based on user-selected physical complaints;

[2155] A means for acquiring a list of ingredients that are rich in the specified nutrients;

[2156] A means for generating a recipe based on the ingredient list and combining it with an appropriate cooking method;

[2157] means for providing the generated recipe to a user;

[2158] a means for recognizing the emotional state of a user;

[2159] means for customizing a recipe based on said emotional state;

[2160] A means for providing interactive cooking support to a user in a virtual space;

[2161] A system including:

[2162] (Claim 2)

[2163] The system according to claim 1, further comprising means for a user to input said physical discomfort using a terminal and means for recognizing said emotional state.

[2164] (Claim 3)

[2165] 10. The system of claim 1, wherein the recipe is customized based on the user's health and emotional state. [Explanation of symbols]

[2166] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means to identify nutritional needs based on user-selected physical complaints; A means for acquiring a list of ingredients that are rich in the specified nutrients; A means for generating a recipe based on the ingredient list and combining it with an appropriate cooking method; means for providing the generated recipe to a user; A system including:

2. The system according to claim 1, further comprising means for a user to input said physical complaint using a terminal.

3. The system of claim 1 , wherein the recipe is customized based on a user's health status.

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