system

Abstract

Provide a system. [Solution] A means for acquiring allergy information and preference information of a user; A means for analyzing food information input by a user and identifying allergens contained in the food; a means for suggesting alternative safe foods based on the identified allergen information; means for applying an augmented reality filter to provide a virtual dining experience using the suggested food substitutes; A system including:

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, people with food allergies must avoid certain foods, resulting in limited dietary options. This restriction causes significant stress in daily life and reduces satisfaction with their eating experience. Furthermore, the process of collecting and verifying information when selecting allergen-free foods is cumbersome, requiring significant time and effort, resulting in a lack of convenience. Furthermore, there is a lack of methods to provide safe, allergen-free alternative foods that still allow users to enjoy their meals. There is a need to solve these issues and provide new ways for people with food allergies to eat safely and enjoyably. [Means for solving the problem]

[0005] The present invention provides a system that acquires a user's allergy and preference information and analyzes the food information entered by the user to identify the allergens contained in the food. Furthermore, a means is provided for suggesting safe alternative foods based on the identified allergen information. Using the suggested alternative foods, an augmented reality (AR) filter is applied to provide a virtual dining experience, enabling a satisfying dining experience without changing the foods the user actually consumes. The system also includes a means for correcting visual and olfactory information, allowing the user to maintain the enjoyment of eating while avoiding allergy risks. In this way, the present invention enables people with food allergies to expand their dietary options and improve the quality of their dietary life.

[0006] "User information" refers to a set of data relating to a user, such as the user's personal identification information, preference information, allergy information, etc.

[0007] An "allergen" is a substance that can cause an allergic reaction in certain people when ingested.

[0008] "Substitute foods" are foods that can be safely consumed in place of foods containing allergens.

[0009] An "augmented reality (AR) filter" is a filter that uses technology to overlay virtual visual and olfactory information onto the real-life dining experience.

[0010] A "database" is an information management system that systematically stores user information, food information, allergen information, etc., and can be used for searching and analysis.

[0011] "Analysis" is the process of examining input information in detail and identifying specific patterns or attributes.

[0012] "Visual information" refers to all visual data that a user perceives with their eyes.

[0013] "Preference information" refers to data related to a user's preferred foods and tastes.

[0014] A "virtual eating experience" is a virtual reality experience that technologically recreates the sensation of consuming real food.

[0015] "Safe food" is food that does not contain specific allergens and will not cause an allergic reaction when consumed by the user. [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] This system allows users with food allergies to enjoy meals safely. It acquires the user's allergy and preference information, analyzes the input food information to identify allergens, and suggests safe alternative foods. It also applies an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods.

[0038] Program processing flow

[0039] 1. Obtaining user information

[0040] When a user logs in to the app, the server retrieves the user's allergy and preference information from the database.

[0041] Example: When a user logs into an app, the server verifies that the user has a peanut allergy.

[0042] 2. Acceptance of input food

[0043] The user enters the name of the food they want to eat into the app, for example, "peanut butter."

[0044] Example: User types "I want peanut butter."

[0045] 3. Food information analysis

[0046] The server analyzes the entered food name and identifies the allergens contained in it.

[0047] Example: The server identifies that peanuts in "peanut butter" are an allergen.

[0048] 4. Alternative product suggestions

[0049] Based on the allergen information, the server searches a database for alternative safe foods and suggests them to the user.

[0050] Example: The server suggests "sunflower seed butter" as an alternative to peanut butter.

[0051] 5. Select and confirm replacement products

[0052] The user selects the suggested food replacement.

[0053] Example: User selects "Sunflower Seed Butter."

[0054] 6. Providing AR experiences

[0055] The device activates dedicated AR software, applying filters that enhance visual and olfactory information, creating a virtual dining experience for the user.

[0056] Example: Through the AR device, users can experience the sensation of eating peanut butter while eating sunflower seed butter.

[0057] Specific examples

[0058] Example 1: Peanut butter

[0059] 1. The user launches the app and logs in.

[0060] 2. The server retrieves the user's allergy information and verifies that the user has a peanut allergy.

[0061] 3. The user types "I want peanut butter" into the input field.

[0062] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[0063] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[0064] 6. The user selects the suggested substitute "Sunflower Seed Butter."

[0065] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[0066] 8. Users actually eat sunflower seed butter, but the virtual experience is that of eating peanut butter.

[0067] Example 2: If you want a chocolate cake

[0068] 1. The user launches the app and logs in.

[0069] 2. The server retrieves the user's allergy information and verifies that the user has a nut allergy.

[0070] 3. The user types "I want chocolate cake" into the input field.

[0071] 4. The server analyzes and identifies the nut ingredients in the "chocolate cake" as an allergen.

[0072] 5. The server suggests a nut-free chocolate cake as an alternative and sends that information to the device.

[0073] 6. The user selects the suggested nut-free chocolate cake.

[0074] 7. The device will then activate its AR software and apply a visual and olfactory filter of a chocolate cake with nuts.

[0075] 8. The user actually eats a nut-free chocolate cake, but virtually experiences it as if they were eating a chocolate cake with nuts.

[0076] The above is an embodiment of the present invention, which allows users with food allergies to enjoy a safe and satisfying dining experience.

[0077] The processing flow will be explained below.

[0078] Step 1:

[0079] The user launches the app and logs in.

[0080] The user launches the app and enters their login information to log in to the system.

[0081] The terminal sends the login information to the server to authenticate the user's account.

[0082] Step 2:

[0083] The server obtains the user's allergy information and preference information from a database.

[0084] The server queries and retrieves the authenticated user's allergy information (e.g., peanut allergy) and preference information from a database.

[0085] The server transmits this information to the terminal.

[0086] Step 3:

[0087] The user enters the name of the food they want to eat into the app.

[0088] The user enters the name of the food they want to eat (e.g., "peanut butter") into the app's input field.

[0089] The terminal transmits the entered food name to the server.

[0090] Step 4:

[0091] The server analyzes the entered food information and identifies the allergens contained in it.

[0092] The server analyzes the food name (e.g., "peanut butter") and detects the ingredients it contains.

[0093] The server checks the allergen database to identify the allergens contained in the food (e.g., peanuts).

[0094] Step 5:

[0095] The server searches a database for alternative safe foods based on the identified allergen information.

[0096] The server searches a database for alternative foods that do not contain the identified allergen (e.g., peanuts).

[0097] The server generates a list of alternative foods (e.g., sunflower seed butter).

[0098] Step 6:

[0099] The server sends information about alternative foods to the terminal and suggests them to the user.

[0100] The server transmits the generated list of substitute foods to the terminal.

[0101] The terminal displays information about alternative foods to the user.

[0102] Step 7:

[0103] The user selects the suggested food replacement.

[0104] The user selects the desired substitution (e.g., sunflower seed butter) from a list of suggested substitutions.

[0105] The terminal transmits the selected information to the server.

[0106] Step 8:

[0107] The server verifies the selected food substitute and transmits the selection to the terminal.

[0108] The server confirms the user's selection and sends details of the selected substitute food to the terminal.

[0109] Step 9:

[0110] The device activates dedicated AR software and applies filters that correct visual and olfactory information.

[0111] The device launches the AR software and activates the peanut butter visual and olfactory filters.

[0112] The terminal displays the package information for the selected alternative food (e.g., sunflower seed butter).

[0113] Step 10:

[0114] When users eat the substitute food, AR effects are used to provide a virtual eating experience.

[0115] Users actually eat sunflower seed butter, but the device's AR function allows them to virtually experience the sensation of eating peanut butter.

[0116] The above are the specific processing steps of the present invention.

[0117] Example 1

[0118] 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."

[0119] In today's world, there are still many people with food allergies, and the means by which they can enjoy meals safely are limited. It can be particularly difficult to check whether a food contains allergens when eating out or trying new foods. To ensure the enjoyment of meals is not compromised, it is necessary not only to suggest alternative foods but also to provide an experience that reflects the user's preferences.

[0120] 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.

[0121] In this invention, the server includes means for acquiring allergy information and preference information of a user, means for analyzing food information entered by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods, and means for displaying and confirming the alternative foods selected by the user, thereby enabling users with food allergies to enjoy a safe and satisfying virtual dining experience.

[0122] The "means for acquiring user's allergy information and preference information" refers to a software and hardware configuration for acquiring data relating to allergies and preferences registered in advance by the user from a database.

[0123] "Means for analyzing food information entered by the user and identifying allergens contained in that food" refers to a natural language processing engine or database search engine that analyzes the food name and ingredients entered by the user and identifies the ingredients that cause allergies.

[0124] The "means for suggesting alternative safe foods based on identified allergen information" refers to an algorithm and software configuration for searching a database for allergen-free foods and suggesting them to the user.

[0125] "Means for applying augmented reality (AR) filters to provide a virtual dining experience using suggested food substitutes" refers to a configuration of augmented reality technology and software for applying visual and olfactory filters to the food substitutes selected by the user to provide a virtual dining experience.

[0126] "Means for displaying and confirming user-selected substitutions" refers to the interface and software configuration that allows the user to select from a list of suggested substitutions and confirm the selection.

[0127] The "means for correcting visual and olfactory information" refers to a configuration of filters and software for virtually reproducing real visual and olfactory information using AR technology.

[0128] A "database" is an information management system that stores and makes searchable data such as user allergy information, preference information, food ingredients, and alternative foods.

[0129] A "natural language processing engine" is a configuration of algorithms and software that analyzes text information entered by users and identifies food ingredients and allergens.

[0130] "Augmented reality technology" is a technology for virtually reproducing visual and olfactory information from the real world, and is used to provide users with a virtual dining experience.

[0131] This invention is a system that allows users with food allergies to enjoy meals safely. The system acquires the user's allergy and preference information, analyzes the input food information to identify allergens, and suggests safe alternative foods. It also applies an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods.

[0132] First, when a user logs in to the app, the server retrieves the user's allergy and preference information from a database. This database stores allergy information and food preference information that the user has registered in advance. A commonly used relational database (e.g., MySQL (registered trademark)) can be used as the database management system.

[0133] Next, the user enters something into an input field in the app, such as "I want to eat peanut butter." The device sends the information to the server using a fast and secure communication protocol (e.g., HTTPS).

[0134] The server uses a natural language processing engine that utilizes a generative AI model (e.g., OpenAI® GPT-3®) to analyze the received food name. Based on the analysis results, it compares it with a food database to identify possible allergens contained in the food. For example, for "peanut butter," it identifies peanuts as an allergen.

[0135] Based on the identified allergen information, the server searches for safe alternative foods. The server searches its database for foods that do not contain the identified allergens and suggests them, taking into account the user's preferences. For example, it suggests "sunflower seed butter" as an alternative to peanut butter. This information is sent to the device.

[0136] The device then displays a list of suggested food substitutes to the user, who then selects a food from the list. The information about the selected food substitute is then sent back to the server, where it is stored. Once the selection is confirmed, the device launches dedicated AR software (e.g., Vuforia) and applies visual and olfactory filters to the selected food substitute.

[0137] Using augmented reality technology, users can virtually eat "peanut butter" even though they are actually eating "sunflower seed butter," thanks to a filter effect. This allows users with food allergies to enjoy a safe and satisfying virtual eating experience.

[0138] Specific examples

[0139] 1. The user launches the app and logs in.

[0140] 2. The server obtains the user's allergy and preference information and verifies that the user has a peanut allergy.

[0141] 3. The user types "I want peanut butter" into the input field.

[0142] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[0143] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[0144] 6. The user selects the suggested substitute "Sunflower Seed Butter."

[0145] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[0146] 8. Users actually eat sunflower seed butter, but the virtual experience is that of eating peanut butter.

[0147] Prompt Sentence Examples

[0148] What are the ingredients in peanut butter?

[0149] What allergens are contained in chocolate cake?

[0150] The system of the present invention can reduce the risks of food allergies by suggesting alternative foods based on the user's food allergy information and providing a safe and satisfying dining experience.

[0151] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0152] Step 1: User Login

[0153] The user logs in to the app by entering their user ID and password.

[0154] The terminal transmits the entered authentication information to the server.

[0155] The server accesses the database and authenticates the user by checking the user ID and password.

[0156] Input: User ID, Password

[0157] Output: Authentication result (success / failure)

[0158] Specific operation: The application on the device receives the ID and password from the user and sends them to the server via HTTPS. The server connects to a database (e.g., MySQL) and determines the authentication result.

[0159] Step 2: Obtaining allergy and preference information

[0160] The server obtains the allergy information and preference information of the successfully authenticated user from the database.

[0161] Input: User ID

[0162] Output: Allergy information, preference information

[0163] Specific operation: The server retrieves the user's allergy information (e.g., peanut allergy) and preference information (e.g., preference for spicy food) from the database and temporarily stores them in a cache.

[0164] Step 3: Enter the food you want to eat

[0165] A user enters the name of a food they want to eat into an input field within the app. For example, they enter "I want to eat peanut butter."

[0166] The terminal transmits the input information to the server.

[0167] Input: Name of food you want to eat

[0168] Output: Result of sending the name of the food you want to eat

[0169] Specific operation: The user enters text into the input field and presses the send button. The device sends the input content to the server via the HTTPS protocol.

[0170] Step 4: Analyze food information

[0171] The server analyzes the received food name "peanut butter" using a natural language processing engine (e.g., a generative AI model).

[0172] Based on the analysis results, the server retrieves ingredient information from a food database and identifies the allergens contained.

[0173] Input: Food name (peanut butter)

[0174] Output: Allergen information (peanuts)

[0175] Specific operation: The server uses a generative AI model (e.g., OpenAI GPT-3) to analyze the input food name, compare it with a food database, and identify allergens.

[0176] Step 5: Suggesting alternative foods

[0177] Based on the identified allergen information, the server searches a database for safe alternative foods and suggests them to the user.

[0178] Input: Allergen information (peanut allergy)

[0179] Output: List of substitute foods (e.g. sunflower seed butter)

[0180] Specific operation: The server uses the allergen information to search the database, lists the corresponding alternative foods, and sends the information to the user's device.

[0181] Step 6: Select and confirm replacement foods

[0182] The terminal displays the received list of substitute foods to the user.

[0183] The user selects any food from the suggested substitute food list and presses the confirm button.

[0184] The terminal transmits the selected information to the server.

[0185] Input: Selected Food Substitute (Sunflower Seed Butter)

[0186] Output: Selection confirmation information

[0187] Specific operation: When the user selects from the list of alternative foods and presses the confirmation button, the device sends the information to the server, which then stores the selection.

[0188] Step 7: Prepare and deliver your AR experience

[0189] The device then activates dedicated AR software, applying visual and olfactory filters to the selected food alternative.

[0190] Input: Selected Food Substitute (Sunflower Seed Butter)

[0191] Output: AR experience data

[0192] What it does: The device launches an AR-supported application (e.g., Vuforia) and applies visual and olfactory filters to provide a virtual dining experience.

[0193] Step 8: Implement a virtual experience

[0194] Through the device, users can virtually experience eating "peanut butter" while actually eating "sunflower seed butter."

[0195] Input: AR experience data

[0196] Output: Virtual dining experience

[0197] Specific operation: The user uses the device to enjoy a virtual dining experience through visual and olfactory information with AR filters applied.

[0198] (Application example 1)

[0199] 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."

[0200] For users with food allergies, choosing safe meals when eating out is a major challenge. Furthermore, there are many foods that cannot be eaten due to food allergies, resulting in low satisfaction with the meal. Conventional methods involve visually inspecting menus to determine whether or not an allergen is present, but this method often has limitations and lacks accuracy. As a result, users run the risk of accidentally ingesting the allergen. Furthermore, even when safe alternative foods are suggested, their taste and texture differ, resulting in low satisfaction. Therefore, a method is needed to provide accurate allergen information in real time when eating out and increase satisfaction.

[0201] 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.

[0202] In this invention, the server includes means for acquiring user allergy and preference information, means for analyzing food information entered by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods, and means for scanning restaurant menus and analyzing allergen information in real time, thereby enabling users to enjoy a satisfying meal while ensuring safety when dining out.

[0203] A "user" is a person who uses the system to input and obtain information about meals.

[0204] "Allergy information" refers to data about a user's food allergies, including information about whether a user has an allergic reaction to a specific food ingredient or component.

[0205] "Preference information" is data relating to the ingredients, dishes, and tastes that a user likes.

[0206] "Food information" is information about foods and dishes that interest the user.

[0207] An "allergen" is a substance or ingredient that causes a food allergy.

[0208] "Replacement foods" are foods that do not contain allergens or that are safe for the user to eat.

[0209] "Augmented reality (AR) filters" are a technology that allows users to have a virtual dining experience through their senses of sight and smell.

[0210] "Scanning a menu" means electronically reading a restaurant menu using a camera on a smartphone, tablet, or other device.

[0211] "Real-time analysis" means processing scanned information immediately and providing analysis results quickly.

[0212] "Server" refers to a computer system that processes and manages user information and food information and provides necessary data.

[0213] The present invention is a system for providing a safe and satisfying dining experience to users with food allergies. A specific embodiment of this system will be described below.

[0214] Overall system overview

[0215] The system primarily collects and analyzes the user's allergy and preference information, scans restaurant menus to identify and suggest allergens in real time, and uses augmented reality (AR) technology to provide a virtual dining experience.

[0216] Hardware and software used

[0217] Smartphone: iOS or ANDROID (registered trademark) device

[0218] Camera: Used to scan menus

[0219] Cloud server: Used for data analysis and user information management

[0220] AR software: Google(R) ARCore (Android) / Apple ARKit (iOS)

[0221] Program processing flow

[0222] 1. User information registration

[0223] The user launches the app and enters allergy and preference information. This information is stored in a database on the cloud server. For example, a user might enter information such as "peanut allergy" and "chocolate lover."

[0224] 2. Menu scanning and allergen analysis

[0225] Users scan a menu at a restaurant with their smartphone camera. The scanned image data is sent to a cloud server, where image recognition technology is used to extract the text of the menu items, and then an analysis of the allergen ingredients is performed. The analysis results are provided to the user in real time, allowing users to avoid the risk of ordering a menu item containing peanuts.

[0226] 3. Alternative food suggestions

[0227] Based on the analyzed allergen information, the server searches the database for safe alternative foods and suggests them to the user, for example, "sunflower seed butter" instead of peanut butter.

[0228] 4. Providing AR tasting experiences

[0229] After users select a food alternative, the smartphone's AR software activates and provides a virtual tasting experience, allowing users to virtually eat peanut butter while actually eating sunflower seed butter.

[0230] Prompt Sentence Examples

[0231] The following is an example of the prompt that is displayed after the user logs in:

[0232] "Scan your favorite menu with your camera."

[0233] This system will significantly improve safety and satisfaction when eating out for people with food allergies, allowing them to enjoy a variety of meals with peace of mind.

[0234] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0235] Step 1:

[0236] Registering user information

[0237] The user launches the app and enters allergy and preference information. This provides the user's allergy information (e.g., peanut allergy) and preference information (e.g., chocolate lover) as input data. The input data is sent to a cloud server and stored in a database. The server stores and manages this information and uses it for subsequent processing.

[0238] Step 2:

[0239] Scan the menu

[0240] A user scans a menu at a restaurant using their smartphone camera, capturing image data of the menu as input. The device then sends the image data to a cloud server, where it processes the data using image recognition technology to extract the text of the menu items. This text information becomes the input for the next step.

[0241] Step 3:

[0242] Allergen analysis

[0243] The cloud server analyzes the extracted text information (menu items) and identifies allergen ingredients. For example, if the text information "peanut butter sandwich" is received as input, the server identifies whether it contains peanuts. The identified allergen information is the output sent by the server to the user.

[0244] Step 4:

[0245] Alternative food suggestions

[0246] The server searches and suggests safe alternative foods from the database based on the identified allergen information. When allergen information (e.g., peanuts) is received as input, the server searches and selects alternative foods (e.g., sunflower seed butter) and sends the information to the user. This results in the suggested alternative foods being output.

[0247] Step 5:

[0248] Alternative food choices

[0249] The user selects one of the suggested alternative foods. The selected information (e.g., sunflower seed butter) is obtained as input data. The user's selection is sent by the terminal to the server and becomes input for the next process.

[0250] Step 6:

[0251] Providing an AR tasting experience

[0252] The device (smartphone) launches augmented reality (AR) software for the selected food alternative, which provides the selected food information (e.g., sunflower seed butter) as input. The device applies visual and olfactory AR filters, allowing the user to enjoy a virtual eating experience (e.g., "feels like peanut butter"). The virtual eating experience is provided as output.

[0253] In this way, the entire system provides a safe and satisfying dining experience for users.

[0254] 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.

[0255] This invention is a system that allows users with food allergies to enjoy meals safely. It acquires the user's allergy information and preference information, identifies allergens by analyzing the input food information, and suggests safe alternative foods. The system also applies an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods. Furthermore, by combining an emotion engine that recognizes the user's emotions, the system makes suggestions based on the user's emotional state, further enhancing the virtual dining experience.

[0256] Program processing flow

[0257] 1. Obtaining user information

[0258] When a user logs in to the app, the server retrieves the user's allergy and preference information from the database.

[0259] Example: When a user logs into an app, the server verifies that the user has a peanut allergy.

[0260] 2. Acceptance of input food

[0261] The user enters the name of the food they want to eat into the app, for example, "peanut butter."

[0262] Example: User types "I want peanut butter."

[0263] 3. Food information analysis

[0264] The server analyzes the entered food name and identifies the allergens contained in it.

[0265] Example: The server identifies that peanuts in "peanut butter" are an allergen.

[0266] 4. Alternative product suggestions

[0267] Based on the allergen information, the server searches a database for alternative safe foods and suggests them to the user.

[0268] Example: The server suggests "sunflower seed butter" as an alternative to peanut butter.

[0269] 5. Select and confirm replacement products

[0270] The user selects the suggested food replacement.

[0271] Example: User selects "Sunflower Seed Butter."

[0272] 6. Providing AR experiences

[0273] The device activates dedicated AR software, applying filters that enhance visual and olfactory information, creating a virtual dining experience for the user.

[0274] Example: Through the AR device, users can experience the sensation of eating peanut butter while eating sunflower seed butter.

[0275] 7. Emotion recognition

[0276] The device activates an emotion engine to analyze the user's facial and voice data and recognize their current emotional state.

[0277] For example, while the user is interacting with the app, the device recognizes the user's emotions (e.g., happiness, surprise, sadness, etc.).

[0278] 8. Adjusting suggestions based on emotions

[0279] The server receives data from the emotion engine and adjusts the food replacement suggestions according to the user's emotional state.

[0280] For example, if the user is feeling stressed, the server will suggest foods that have a relaxing effect.

[0281] 9. Emotion-based AR experience adjustment

[0282] The device dynamically changes the AR filter effect based on data from the emotion engine.

[0283] For example, if the user is having fun, add a visually pleasing effect. Conversely, if the user is feeling down, change to a calming and relaxing effect.

[0284] Specific examples

[0285] Example 1: Peanut butter

[0286] 1. The user launches the app and logs in.

[0287] 2. The server retrieves the user's allergy information and verifies that the user has a peanut allergy.

[0288] 3. The user types "I want peanut butter" into the input field.

[0289] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[0290] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[0291] 6. The user selects the suggested substitute "Sunflower Seed Butter."

[0292] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[0293] 8. Users actually eat sunflower seed butter, but the virtual experience is that of eating peanut butter.

[0294] 9. The terminal recognizes the user's emotions, and the server suggests and applies effects that have humorous or relaxing effects.

[0295] Example 2: If you want a chocolate cake

[0296] 1. The user launches the app and logs in.

[0297] 2. The server retrieves the user's allergy information and verifies that the user has a nut allergy.

[0298] 3. The user types "I want chocolate cake" into the input field.

[0299] 4. The server analyzes and identifies the nut ingredients in the "chocolate cake" as an allergen.

[0300] 5. The server suggests a nut-free chocolate cake as an alternative and sends that information to the device.

[0301] 6. The user selects the suggested nut-free chocolate cake.

[0302] 7. The device will then activate its AR software and apply a visual and olfactory filter of a chocolate cake with nuts.

[0303] 8. The user actually eats a nut-free chocolate cake, but virtually experiences it as if they were eating a chocolate cake with nuts.

[0304] 9. The device recognizes the user's emotions, and the server suggests and applies visually soothing effects according to the emotions.

[0305] The above is an embodiment of the present invention, which enables users with food allergies to enjoy a safe and satisfying dining experience. By combining it with an emotion engine, the user's psychological satisfaction can be further improved.

[0306] The processing flow will be explained below.

[0307] Step 1:

[0308] The user launches the app and logs in.

[0309] The user launches the app and enters their login information to log in to the system.

[0310] The terminal sends the login information to the server to authenticate the user's account.

[0311] Step 2:

[0312] The server obtains the user's allergy information and preference information from a database.

[0313] The server queries and retrieves the authenticated user's allergy information (e.g., peanut allergy) and preference information from a database.

[0314] The server transmits this information to the terminal.

[0315] Step 3:

[0316] The user enters the name of the food they want to eat into the app.

[0317] The user enters the name of the food they want to eat (e.g., "peanut butter") into the app's input field.

[0318] The terminal transmits the entered food name to the server.

[0319] Step 4:

[0320] The server analyzes the entered food information and identifies the allergens contained in it.

[0321] The server analyzes the food name (e.g., "peanut butter") and detects the ingredients it contains.

[0322] The server checks the allergen database to identify the allergens contained in the food (e.g., peanuts).

[0323] Step 5:

[0324] The server searches a database for alternative safe foods based on the identified allergen information.

[0325] The server searches a database for alternative foods that do not contain the identified allergen (e.g., peanuts).

[0326] The server generates a list of alternative foods (e.g., sunflower seed butter).

[0327] Step 6:

[0328] The server sends information about alternative foods to the terminal and suggests them to the user.

[0329] The server transmits the generated list of substitute foods to the terminal.

[0330] The terminal displays information about alternative foods to the user.

[0331] Step 7:

[0332] The user selects the suggested food replacement.

[0333] The user selects the desired substitution (e.g., sunflower seed butter) from a list of suggested substitutions.

[0334] The terminal transmits the selected information to the server.

[0335] Step 8:

[0336] The server verifies the selected food substitute and transmits the selection to the terminal.

[0337] The server confirms the user's selection (e.g., sunflower seed butter) and sends details of the selected alternative food to the terminal.

[0338] Step 9:

[0339] The device activates dedicated AR software and applies filters that correct visual and olfactory information.

[0340] The device launches the AR software and activates the peanut butter visual and olfactory filters.

[0341] The terminal displays the package information for the selected alternative food (e.g., sunflower seed butter).

[0342] Step 10:

[0343] The terminal activates an emotion engine to recognize the user's emotional state.

[0344] The device analyzes the user's facial expressions and voice data to detect their current emotional state (e.g., joy, surprise, sadness, etc.).

[0345] Step 11:

[0346] The server receives data from the emotion engine and adjusts the alternative food suggestions based on the user's emotional state.

[0347] Based on the emotional data obtained from the emotion engine, the server reevaluates the list of alternative foods taking into account the user's emotional state and makes optimal suggestions.

[0348] Step 12:

[0349] The device dynamically changes the AR filter effect based on data from the emotion engine.

[0350] The device dynamically adjusts visual and olfactory effects according to the user's emotional state, for example adding visually pleasing effects when the user is having fun, or providing calming and relaxing effects when the user is feeling more relaxed.

[0351] Step 13:

[0352] When users eat the substitute food, AR effects are used to provide a virtual eating experience.

[0353] While users actually eat the sunflower seed butter, the device's AR functionality allows them to virtually experience the sensation of eating peanut butter. The emotional engine adds effects to further enhance the virtual eating experience.

[0354] The above are the specific processing steps of the present invention.

[0355] Example 2

[0356] 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."

[0357] Currently, it is difficult for users with food allergies to enjoy a safe and satisfying dining experience. Conventional systems are insufficient in identifying allergens and suggesting alternative foods, preventing users from enjoying meals with peace of mind. Furthermore, there is no system that can not only provide food information but also make suggestions based on the user's emotional state, so improving users' psychological satisfaction is a challenge.

[0358] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for acquiring the user's allergy information and preference information, means for analyzing food information entered by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods, and means for recognizing the user's emotions during the virtual dining experience and adjusting the suggestions based on the emotions. This enables users with food allergies to enjoy a safe and satisfying dining experience, and further improves their psychological satisfaction by adjusting the suggestions based on the emotions.

[0359] "User allergy information" is information about the possibility that the user may have an allergic reaction to a particular food ingredient.

[0360] "Preference information" is information about the foods and ingredients that the user likes.

[0361] "Food information" refers to the name of a specific food that the user has input as something they would like to eat, as well as related information.

[0362] "Allergen" refers to a component that causes an allergic reaction in a user.

[0363] "Alternative safe foods" are foods that do not contain the specific allergen and are safe for the user to consume.

[0364] A "virtual dining experience" uses augmented reality technology to give users the experience of eating a desired meal, even though they are actually eating different foods.

[0365] "Augmented reality (AR) filters" are a technology that adds virtual effects to the user's sense of sight and smell, virtually enhancing the dining experience.

[0366] "Emotion recognition" is a technology that analyzes data such as a user's facial expressions and voice to determine the user's current emotional state.

[0367] "Adjusting suggestions" refers to appropriately modifying and optimizing the content of alternative foods and virtual dining experiences based on the user's emotional state.

[0368] A "database" is a repository of information that systematically stores user information and data on foods, allergens, alternative foods, etc., and can be searched and referenced as needed.

[0369] The present invention provides a system that allows users with food allergies to enjoy meals safely. An embodiment of this system will be described in detail below.

[0370] System configuration

[0371] This system mainly consists of three elements: a server, a terminal, and a user. The server manages the user's allergy and preference information, analyzes food information, and suggests alternative foods. The terminal accepts input from the user, communicates with the server, and is a device that runs an augmented reality (AR) filter and an emotion recognition engine. Through this system, users can enjoy a safe dining experience.

[0372] Hardware and Software

[0373] The server includes the following components for data processing:

[0374] Database management system: Stores user allergy information, preference information, and food information (e.g., MySQL).

[0375] Analysis engine: Analyzes the food information entered by the user and identifies allergens (e.g., NLP engine).

[0376] Substitution suggestion engine: Searches for and suggests safe alternative foods based on allergen information (e.g., Recommendation Engine).

[0377] The terminal includes the following software components:

[0378] AR software: Providing visual and olfactory filters to help users enjoy a virtual dining experience (e.g., ARKit, ARCore).

[0379] Emotion recognition engine: Analyzes the user's facial and voice data to recognize emotions in real time (e.g., Emotion AI).

[0380] Specific examples

[0381] Example 1: Peanut butter

[0382] 1. The user launches the app and logs in.

[0383] 2. The server retrieves the user's allergy information from the database and confirms that the user has a peanut allergy.

[0384] 3. The user types "I want peanut butter" into the app.

[0385] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[0386] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[0387] 6. The user selects the suggested alternative, “Sunflower Seed Butter,” and begins the AR experience.

[0388] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[0389] 8. Users actually eat sunflower seed butter and virtually experience the sensation of eating peanut butter.

[0390] 9. The device recognizes the user's emotions and sends the user's emotion data to the server.

[0391] 10. The server adjusts the AR effects based on the user's emotions to improve satisfaction.

[0392] Example 2: If you want a chocolate cake

[0393] 1. The user launches the app and logs in.

[0394] 2. The server retrieves the user's nut allergy information from the database.

[0395] 3. The user types, "I want chocolate cake."

[0396] 4. The server analyzes and identifies the nut ingredients in the "chocolate cake" as an allergen.

[0397] 5. The server suggests a nut-free chocolate cake as an alternative and sends that information to the device.

[0398] 6. The user selects the suggested nut-free chocolate cake.

[0399] 7. The device will then activate its AR software and apply a visual and olfactory filter of a chocolate cake with nuts.

[0400] 8. The user actually eats a nut-free chocolate cake, but virtually experiences the experience of eating a chocolate cake with nuts.

[0401] 9. The device recognizes the user's emotions and sends the user's emotion data to the server.

[0402] 10. The server adjusts the AR effects based on the user's emotions to improve satisfaction.

[0403] In this way, the system of the present invention provides a virtual dining experience while ensuring the safety of the user, and by recognizing the user's emotions and making suggestions or adjustments based on those emotions, it enables a more satisfying experience.

[0404] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0405] Step 1:

[0406] When a user logs in to the app, the server receives the user's ID and password and performs an authentication process. If authentication is successful, the server retrieves the user's allergy and preference information from the database. The input is the user ID and password, and the output is the allergy and preference information. The server proceeds to the next processing step based on this.

[0407] Step 2:

[0408] The user enters the name of the food they want to eat into the app's input field. The device receives this input and sends it to the server. The input is the food name, and the output is sending the food name to the server. In concrete terms, the user enters "I want to eat peanut butter."

[0409] Step 3:

[0410] The server receives the food name sent from the terminal and references the food database to obtain information about the ingredients contained in that food. It then performs an analysis to identify allergens. The input is the food name and the output is allergen information. Specifically, the server identifies the peanuts contained in "peanut butter" as an allergen.

[0411] Step 4:

[0412] The server searches a database for safe alternative foods based on allergen information and generates a list of alternatives. The input is allergen information, and the output is a list of alternative foods. Specifically, the server suggests "sunflower seed butter" instead of "peanut butter."

[0413] Step 5:

[0414] The server sends the list of substitute foods to the terminal. The terminal displays the suggested substitute foods to the user. The input is the list of substitute foods, and the output is the display of the substitute foods to the user. In concrete terms, the terminal suggests "sunflower seed butter" to the user.

[0415] Step 6:

[0416] The user selects one of the suggested alternative foods. The device sends this selection information to the server. The input is the user's selection, and the output is the transmission of the selection information to the server. In a specific example, the user selects "Sunflower Seed Butter."

[0417] Step 7:

[0418] The device activates the AR software and applies visual and olfactory filters corresponding to the selected food alternative. The input is the user's selection and food alternative information, and the output is a virtual eating experience. Specifically, the device applies a sunflower seed butter filter, providing the user with the visual and olfactory sensation of peanut butter.

[0419] Step 8:

[0420] The device activates an emotion recognition engine, analyzes the user's face and voice data, and recognizes their current emotional state. The input is the user's face and voice data, and the output is emotion data. Specifically, the device analyzes the user's smile and tone of voice and recognizes it as "joy."

[0421] Step 9:

[0422] The server receives the emotional data and adjusts the suggestions and AR effects based on the user's emotional state. The input is the emotional data, and the output is the adjusted suggestions and AR effects. Specifically, the server detects the user's joy and adds visually pleasing effects.

[0423] (Application example 2)

[0424] 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."

[0425] Conventional systems for users with food allergies only collect the user's allergy information and suggest safe foods. As a result, the user's dining experience is limited, making it difficult to alleviate the psychological stress of having allergies and improve dining satisfaction. Furthermore, because the system does not adjust the dining suggestions or experience to take the user's emotional state into consideration, it is not possible to improve the user's overall satisfaction.

[0426] 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.

[0427] In this invention, the server includes means for acquiring allergy information and preference information of a user, means for analyzing food information input by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality filter to provide a virtual dining experience using the suggested alternative foods, means for activating an emotion engine that recognizes the user's emotional state, and means for utilizing data from the emotion engine to make suggestions according to the user's emotional state, thereby making it possible to not only provide a safe dining experience for the user but also enrich the dining experience by taking the emotional state into consideration and increase overall satisfaction.

[0428] "User allergy information" refers to information about the specific food ingredients or substances to which an individual user has a reaction.

[0429] "Preference information" is information about the user's personal preferences regarding ingredients and dishes that they like.

[0430] "Food information" is information about specific dishes or ingredients that a user has entered or searched for.

[0431] An "allergen" is a substance or ingredient that primarily causes an allergic reaction.

[0432] "Alternative safe foods" are foods that do not contain the specific allergen and are safe for the user to consume.

[0433] "Augmented reality filters" are technologies used to provide virtual visual and olfactory information.

[0434] An "emotion engine" is a technology that analyzes a user's facial and voice data to recognize their emotional state.

[0435] A "database" is a collection of structured information, and in this case it stores user information and food data.

[0436] This invention is a system that allows users with food allergies to enjoy meals safely. It acquires the user's allergy information and preference information, identifies allergens by analyzing the input food information, and suggests safe alternative foods. Furthermore, the system applies an augmented reality filter to provide a virtual dining experience using the suggested alternative foods on a device, and further utilizes an emotion engine to make suggestions according to the user's emotional state.

[0437] Hardware and software used

[0438] Hardware:

[0439] Smartphone: iPhone (registered trademark) or Android device

[0440] Camera: Front camera for emotion recognition

[0441] software:

[0442] Server side: Node.js, Express, MongoDB

[0443] Client Side: React Native

[0444] Emotion recognition engine: Microsoft® Azure® Emotion API

[0445] AR software: ARKit (iOS) or ARCore (Android)

[0446] Program Overview

[0447] First, when a user logs in to the application, the server retrieves the user's allergy and preference information from a database. Next, when the user enters the name of a food they want to eat into the app, the server analyzes the entered food name and identifies the allergens contained in it. It then suggests safe alternative foods based on the identified allergen information.

[0448] Once the user selects a suggested food replacement, the device activates AR software, applying visual and olfactory filters to provide a virtual dining experience. Furthermore, the device's emotion engine analyzes the user's facial and voice data to tailor the dining experience based on the user's emotional state.

[0449] Specific examples

[0450] For example, if a user types "I want to eat peanut butter," the server determines that the user has a peanut allergy and analyzes and identifies the peanuts in peanut butter as an allergen. The server then suggests "sunflower seed butter" as an alternative food and sends that information to the device. If the user selects "sunflower seed butter," the device activates the AR software and applies the visual and olfactory filters of peanut butter to provide a virtual eating experience. In addition, the device uses an emotion engine to analyze the user's emotions and adjust feedback based on those emotions.

[0451] Prompt Sentence Examples

[0452] Prompts for input to generative AI models:

[0453] "The user inputs that they want to eat peanut butter. The user has a peanut allergy. What should the app suggest as an alternative to peanut butter?"

[0454] answer:

[0455] "The app suggests sunflower seed butter as an alternative to peanut butter."

[0456] This embodiment of the present invention allows users to enjoy a satisfying dining experience while being safe for their allergies. Furthermore, by utilizing the emotion engine, it is possible to provide detailed support according to the user's emotional state, thereby improving the user's psychological and sensory satisfaction.

[0457] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0458] Step 1:

[0459] When a user logs into the application, the server retrieves the user information from the database.

[0460] Input: User ID

[0461] Output: Allergy and preference information

[0462] The server retrieves the relevant allergy and preference information from MongoDB based on the user ID, which serves as the basis for future processing to help the user enjoy a safe meal.

[0463] Step 2:

[0464] The user enters the name of the food they want to eat into the app.

[0465] Input: Food name (e.g. "peanut butter")

[0466] Output: Food name

[0467] The user inputs the name of the food they want to eat into the input screen of the smartphone app, and this information is sent to the server.

[0468] Step 3:

[0469] The server analyzes the entered food name and identifies the allergens contained in that food.

[0470] Input: Food name (e.g. "peanut butter"), allergy information

[0471] Output: Allergen information

[0472] The server retrieves the ingredient information of the relevant food from a food database and identifies the allergen by comparing it with the user's allergy information.

[0473] Step 4:

[0474] The server searches a database for and suggests alternative safe foods based on the identified allergen information.

[0475] Input: Allergen information, preference information

[0476] Output: Food substitute (e.g. "Sunflower Seed Butter")

[0477] The server searches a database for alternative foods that do not contain allergens and match the user's preferences, and sends this information to the terminal.

[0478] Step 5:

[0479] The user selects the suggested food replacement.

[0480] Input: List of alternative foods

[0481] Output: Selected food alternatives

[0482] Users can select safe and preferred foods from a list of alternative foods displayed on the device.

[0483] Step 6:

[0484] The device activates AR software and applies visual and olfactory filters to provide a virtual dining experience.

[0485] Input: Selected substitute food, allergen information, preference information

[0486] Output: Augmented reality filter (visual and olfactory feedback)

[0487] The device uses ARKit or ARCore to generate a virtual visual and olfactory experience for the user's actual food substitutes.

[0488] Step 7:

[0489] The device's emotion engine analyzes the user's facial and voice data to recognize their current emotional state.

[0490] Input: User's face image and voice data

[0491] Output: Emotional state data (e.g., "happiness," "surprise")

[0492] The device sends facial images captured by the front camera and audio data captured by the microphone to Microsoft Azure's Emotion API for emotional analysis.

[0493] Step 8:

[0494] The server uses the data from the emotion engine to provide feedback according to the user's emotional state.

[0495] Input: Emotional state data, selected food alternatives

[0496] Output: Modulated feedback (visual and olfactory effects)

[0497] The server receives the user's emotional state data, adjusts the AR feedback to match the emotion, and sends it to the device.

[0498] Step 9:

[0499] The device dynamically applies AR filters based on emotions to optimize the user's dining experience.

[0500] Input: Calibrated feedback

[0501] Output: Improved dining experience

[0502] The device dynamically updates AR filters and applies visual and olfactory effects according to the user's emotional state to optimize the user's dining experience.

[0503] 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.

[0504] 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.

[0505] 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.

[0506] [Second embodiment]

[0507] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0508] 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.

[0509] 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).

[0510] 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.

[0511] 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.

[0512] 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).

[0513] 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.

[0514] 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.

[0515] 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.

[0516] 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.

[0517] 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.

[0518] 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."

[0519] This system allows users with food allergies to enjoy meals safely. It acquires the user's allergy and preference information, analyzes the input food information to identify allergens, and suggests safe alternative foods. It also applies an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods.

[0520] Program processing flow

[0521] 1. Obtaining user information

[0522] When a user logs in to the app, the server retrieves the user's allergy and preference information from the database.

[0523] Example: When a user logs into an app, the server verifies that the user has a peanut allergy.

[0524] 2. Acceptance of input food

[0525] The user enters the name of the food they want to eat into the app, for example, "peanut butter."

[0526] Example: User types "I want peanut butter."

[0527] 3. Food information analysis

[0528] The server analyzes the entered food name and identifies the allergens contained in it.

[0529] Example: The server identifies that peanuts in "peanut butter" are an allergen.

[0530] 4. Alternative product suggestions

[0531] Based on the allergen information, the server searches a database for alternative safe foods and suggests them to the user.

[0532] Example: The server suggests "sunflower seed butter" as an alternative to peanut butter.

[0533] 5. Select and confirm replacement products

[0534] The user selects the suggested food replacement.

[0535] Example: User selects "Sunflower Seed Butter."

[0536] 6. Providing AR experiences

[0537] The device activates dedicated AR software, applying filters that enhance visual and olfactory information, creating a virtual dining experience for the user.

[0538] Example: Through the AR device, users can experience the sensation of eating peanut butter while eating sunflower seed butter.

[0539] Specific examples

[0540] Example 1: Peanut butter

[0541] 1. The user launches the app and logs in.

[0542] 2. The server retrieves the user's allergy information and verifies that the user has a peanut allergy.

[0543] 3. The user types "I want peanut butter" into the input field.

[0544] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[0545] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[0546] 6. The user selects the suggested substitute "Sunflower Seed Butter."

[0547] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[0548] 8. Users actually eat sunflower seed butter, but the virtual experience is that of eating peanut butter.

[0549] Example 2: If you want a chocolate cake

[0550] 1. The user launches the app and logs in.

[0551] 2. The server retrieves the user's allergy information and verifies that the user has a nut allergy.

[0552] 3. The user types "I want chocolate cake" into the input field.

[0553] 4. The server analyzes and identifies the nut ingredients in the "chocolate cake" as an allergen.

[0554] 5. The server suggests a nut-free chocolate cake as an alternative and sends that information to the device.

[0555] 6. The user selects the suggested nut-free chocolate cake.

[0556] 7. The device will then activate its AR software and apply a visual and olfactory filter of a chocolate cake with nuts.

[0557] 8. The user actually eats a nut-free chocolate cake, but virtually experiences it as if they were eating a chocolate cake with nuts.

[0558] The above is an embodiment of the present invention, which allows users with food allergies to enjoy a safe and satisfying dining experience.

[0559] The processing flow will be explained below.

[0560] Step 1:

[0561] The user launches the app and logs in.

[0562] The user launches the app and enters their login information to log in to the system.

[0563] The terminal sends the login information to the server to authenticate the user's account.

[0564] Step 2:

[0565] The server obtains the user's allergy information and preference information from a database.

[0566] The server queries and retrieves the authenticated user's allergy information (e.g., peanut allergy) and preference information from a database.

[0567] The server transmits this information to the terminal.

[0568] Step 3:

[0569] The user enters the name of the food they want to eat into the app.

[0570] The user enters the name of the food they want to eat (e.g., "peanut butter") into the app's input field.

[0571] The terminal transmits the entered food name to the server.

[0572] Step 4:

[0573] The server analyzes the entered food information and identifies the allergens contained in it.

[0574] The server analyzes the food name (e.g., "peanut butter") and detects the ingredients it contains.

[0575] The server checks the allergen database to identify the allergens contained in the food (e.g., peanuts).

[0576] Step 5:

[0577] The server searches a database for alternative safe foods based on the identified allergen information.

[0578] The server searches a database for alternative foods that do not contain the identified allergen (e.g., peanuts).

[0579] The server generates a list of alternative foods (e.g., sunflower seed butter).

[0580] Step 6:

[0581] The server sends information about alternative foods to the terminal and suggests them to the user.

[0582] The server transmits the generated list of substitute foods to the terminal.

[0583] The terminal displays information about alternative foods to the user.

[0584] Step 7:

[0585] The user selects the suggested food replacement.

[0586] The user selects the desired substitution (e.g., sunflower seed butter) from a list of suggested substitutions.

[0587] The terminal transmits the selected information to the server.

[0588] Step 8:

[0589] The server verifies the selected food substitute and transmits the selection to the terminal.

[0590] The server confirms the user's selection and sends details of the selected substitute food to the terminal.

[0591] Step 9:

[0592] The device activates dedicated AR software and applies filters that correct visual and olfactory information.

[0593] The device launches the AR software and activates the peanut butter visual and olfactory filters.

[0594] The terminal displays the package information for the selected alternative food (e.g., sunflower seed butter).

[0595] Step 10:

[0596] When users eat the substitute food, AR effects are used to provide a virtual eating experience.

[0597] Users actually eat sunflower seed butter, but the device's AR function allows them to virtually experience the sensation of eating peanut butter.

[0598] The above are the specific processing steps of the present invention.

[0599] Example 1

[0600] 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."

[0601] In today's world, there are still many people with food allergies, and the means by which they can enjoy meals safely are limited. It can be particularly difficult to check whether a food contains allergens when eating out or trying new foods. To ensure the enjoyment of meals is not compromised, it is necessary not only to suggest alternative foods but also to provide an experience that reflects the user's preferences.

[0602] 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.

[0603] In this invention, the server includes means for acquiring allergy information and preference information of a user, means for analyzing food information entered by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods, and means for displaying and confirming the alternative foods selected by the user, thereby enabling users with food allergies to enjoy a safe and satisfying virtual dining experience.

[0604] The "means for acquiring user's allergy information and preference information" refers to a software and hardware configuration for acquiring data relating to allergies and preferences registered in advance by the user from a database.

[0605] "Means for analyzing food information entered by the user and identifying allergens contained in that food" refers to a natural language processing engine or database search engine that analyzes the food name and ingredients entered by the user and identifies the ingredients that cause allergies.

[0606] The "means for suggesting alternative safe foods based on identified allergen information" refers to an algorithm and software configuration for searching a database for allergen-free foods and suggesting them to the user.

[0607] "Means for applying augmented reality (AR) filters to provide a virtual dining experience using suggested food substitutes" refers to a configuration of augmented reality technology and software for applying visual and olfactory filters to the food substitutes selected by the user to provide a virtual dining experience.

[0608] "Means for displaying and confirming user-selected substitutions" refers to the interface and software configuration that allows the user to select from a list of suggested substitutions and confirm the selection.

[0609] The "means for correcting visual and olfactory information" refers to a configuration of filters and software for virtually reproducing real visual and olfactory information using AR technology.

[0610] A "database" is an information management system that stores and makes searchable data such as user allergy information, preference information, food ingredients, and alternative foods.

[0611] A "natural language processing engine" is a configuration of algorithms and software that analyzes text information entered by users and identifies food ingredients and allergens.

[0612] "Augmented reality technology" is a technology for virtually reproducing visual and olfactory information from the real world, and is used to provide users with a virtual dining experience.

[0613] This invention is a system that allows users with food allergies to enjoy meals safely. The system acquires the user's allergy and preference information, analyzes the input food information to identify allergens, and suggests safe alternative foods. It also applies an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods.

[0614] First, when a user logs in to the app, the server retrieves the user's allergy and preference information from a database. This database stores allergy information and food preference information that the user has registered in advance. A commonly used relational database (e.g., MySQL) can be used as the database management system.

[0615] Next, the user enters something into an input field in the app, such as "I want to eat peanut butter." The device sends the information to the server using a fast and secure communication protocol (e.g., HTTPS).

[0616] The server uses a natural language processing engine that utilizes a generative AI model (e.g., OpenAI GPT-3) to analyze the received food name. Based on the analysis results, it compares it with a food database to identify possible allergens contained in the food. For example, for "peanut butter," it identifies peanuts as an allergen.

[0617] Based on the identified allergen information, the server searches for safe alternative foods. The server searches its database for foods that do not contain the identified allergens and suggests them, taking into account the user's preferences. For example, it suggests "sunflower seed butter" as an alternative to peanut butter. This information is sent to the device.

[0618] The device then displays a list of suggested food substitutes to the user, who then selects a food from the list. The information about the selected food substitute is then sent back to the server, where it is stored. Once the selection is confirmed, the device launches dedicated AR software (e.g., Vuforia) and applies visual and olfactory filters to the selected food substitute.

[0619] Using augmented reality technology, users can virtually eat "peanut butter" even though they are actually eating "sunflower seed butter," thanks to a filter effect. This allows users with food allergies to enjoy a safe and satisfying virtual eating experience.

[0620] Specific examples

[0621] 1. The user launches the app and logs in.

[0622] 2. The server obtains the user's allergy and preference information and verifies that the user has a peanut allergy.

[0623] 3. The user types "I want peanut butter" into the input field.

[0624] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[0625] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[0626] 6. The user selects the suggested substitute "Sunflower Seed Butter."

[0627] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[0628] 8. Users actually eat sunflower seed butter, but the virtual experience is that of eating peanut butter.

[0629] Prompt Sentence Examples

[0630] What are the ingredients in peanut butter?

[0631] What allergens are contained in chocolate cake?

[0632] The system of the present invention can reduce the risks of food allergies by suggesting alternative foods based on the user's food allergy information and providing a safe and satisfying dining experience.

[0633] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0634] Step 1: User Login

[0635] The user logs in to the app by entering their user ID and password.

[0636] The terminal transmits the entered authentication information to the server.

[0637] The server accesses the database and authenticates the user by checking the user ID and password.

[0638] Input: User ID, Password

[0639] Output: Authentication result (success / failure)

[0640] Specific operation: The application on the device receives the ID and password from the user and sends them to the server via HTTPS. The server connects to a database (e.g., MySQL) and determines the authentication result.

[0641] Step 2: Obtaining allergy and preference information

[0642] The server obtains the allergy information and preference information of the successfully authenticated user from the database.

[0643] Input: User ID

[0644] Output: Allergy information, preference information

[0645] Specific operation: The server retrieves the user's allergy information (e.g., peanut allergy) and preference information (e.g., preference for spicy food) from the database and temporarily stores them in a cache.

[0646] Step 3: Enter the food you want to eat

[0647] A user enters the name of a food they want to eat into an input field within the app. For example, they enter "I want to eat peanut butter."

[0648] The terminal transmits the input information to the server.

[0649] Input: Name of food you want to eat

[0650] Output: Result of sending the name of the food you want to eat

[0651] Specific operation: The user enters text into the input field and presses the send button. The device sends the input content to the server via the HTTPS protocol.

[0652] Step 4: Analyze food information

[0653] The server analyzes the received food name "peanut butter" using a natural language processing engine (e.g., a generative AI model).

[0654] Based on the analysis results, the server retrieves ingredient information from a food database and identifies the allergens contained.

[0655] Input: Food name (peanut butter)

[0656] Output: Allergen information (peanuts)

[0657] Specific operation: The server uses a generative AI model (e.g., OpenAI GPT-3) to analyze the input food name, compare it with a food database, and identify allergens.

[0658] Step 5: Suggesting alternative foods

[0659] Based on the identified allergen information, the server searches a database for safe alternative foods and suggests them to the user.

[0660] Input: Allergen information (peanut allergy)

[0661] Output: List of substitute foods (e.g. sunflower seed butter)

[0662] Specific operation: The server uses the allergen information to search the database, lists the corresponding alternative foods, and sends the information to the user's device.

[0663] Step 6: Select and confirm replacement foods

[0664] The terminal displays the received list of substitute foods to the user.

[0665] The user selects any food from the suggested substitute food list and presses the confirm button.

[0666] The terminal transmits the selected information to the server.

[0667] Input: Selected Food Substitute (Sunflower Seed Butter)

[0668] Output: Selection confirmation information

[0669] Specific operation: When the user selects from the list of alternative foods and presses the confirmation button, the device sends the information to the server, which then stores the selection.

[0670] Step 7: Prepare and deliver your AR experience

[0671] The device then activates dedicated AR software, applying visual and olfactory filters to the selected food alternative.

[0672] Input: Selected Food Substitute (Sunflower Seed Butter)

[0673] Output: AR experience data

[0674] What it does: The device launches an AR-supported application (e.g., Vuforia) and applies visual and olfactory filters to provide a virtual dining experience.

[0675] Step 8: Implement a virtual experience

[0676] Through the device, users can virtually experience eating "peanut butter" while actually eating "sunflower seed butter."

[0677] Input: AR experience data

[0678] Output: Virtual dining experience

[0679] Specific operation: The user uses the device to enjoy a virtual dining experience through visual and olfactory information with AR filters applied.

[0680] (Application example 1)

[0681] 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."

[0682] For users with food allergies, choosing safe meals when eating out is a major challenge. Furthermore, there are many foods that cannot be eaten due to food allergies, resulting in low satisfaction with the meal. Conventional methods involve visually inspecting menus to determine whether or not an allergen is present, but this method often has limitations and lacks accuracy. As a result, users run the risk of accidentally ingesting the allergen. Furthermore, even when safe alternative foods are suggested, their taste and texture differ, resulting in low satisfaction. Therefore, a method is needed to provide accurate allergen information in real time when eating out and increase satisfaction.

[0683] 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.

[0684] In this invention, the server includes means for acquiring user allergy and preference information, means for analyzing food information entered by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods, and means for scanning restaurant menus and analyzing allergen information in real time, thereby enabling users to enjoy a satisfying meal while ensuring safety when dining out.

[0685] A "user" is a person who uses the system to input and obtain information about meals.

[0686] "Allergy information" refers to data about a user's food allergies, including information about whether a user has an allergic reaction to a specific food ingredient or component.

[0687] "Preference information" is data relating to the ingredients, dishes, and tastes that a user likes.

[0688] "Food information" is information about foods and dishes that interest the user.

[0689] An "allergen" is a substance or ingredient that causes a food allergy.

[0690] "Replacement foods" are foods that do not contain allergens or that are safe for the user to eat.

[0691] "Augmented reality (AR) filters" are a technology that allows users to have a virtual dining experience through their senses of sight and smell.

[0692] "Scanning a menu" means electronically reading a restaurant menu using a camera on a smartphone, tablet, or other device.

[0693] "Real-time analysis" means processing scanned information immediately and providing analysis results quickly.

[0694] "Server" refers to a computer system that processes and manages user information and food information and provides necessary data.

[0695] The present invention is a system for providing a safe and satisfying dining experience to users with food allergies. A specific embodiment of this system will be described below.

[0696] Overall system overview

[0697] The system primarily collects and analyzes the user's allergy and preference information, scans restaurant menus to identify and suggest allergens in real time, and uses augmented reality (AR) technology to provide a virtual dining experience.

[0698] Hardware and software used

[0699] Smartphone: iOS or Android device

[0700] Camera: Used to scan menus

[0701] Cloud server: Used for data analysis and user information management

[0702] AR software: Google ARCore (Android) / Apple ARKit (iOS)

[0703] Program processing flow

[0704] 1. User information registration

[0705] The user launches the app and enters allergy and preference information. This information is stored in a database on the cloud server. For example, a user might enter information such as "peanut allergy" and "chocolate lover."

[0706] 2. Menu scanning and allergen analysis

[0707] Users scan a menu at a restaurant with their smartphone camera. The scanned image data is sent to a cloud server, where image recognition technology is used to extract the text of the menu items, and then an analysis of the allergen ingredients is performed. The analysis results are provided to the user in real time, allowing users to avoid the risk of ordering a menu item containing peanuts.

[0708] 3. Alternative food suggestions

[0709] Based on the analyzed allergen information, the server searches the database for safe alternative foods and suggests them to the user, for example, "sunflower seed butter" instead of peanut butter.

[0710] 4. Providing AR tasting experiences

[0711] After users select a food alternative, the smartphone's AR software activates and provides a virtual tasting experience, allowing users to virtually eat peanut butter while actually eating sunflower seed butter.

[0712] Prompt Sentence Examples

[0713] The following is an example of the prompt that is displayed after the user logs in:

[0714] "Scan your favorite menu with your camera."

[0715] This system will significantly improve safety and satisfaction when eating out for people with food allergies, allowing them to enjoy a variety of meals with peace of mind.

[0716] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0717] Step 1:

[0718] Registering user information

[0719] The user launches the app and enters allergy and preference information. This provides the user's allergy information (e.g., peanut allergy) and preference information (e.g., chocolate lover) as input data. The input data is sent to a cloud server and stored in a database. The server stores and manages this information and uses it for subsequent processing.

[0720] Step 2:

[0721] Scan the menu

[0722] A user scans a menu at a restaurant using their smartphone camera, capturing image data of the menu as input. The device then sends the image data to a cloud server, where it processes the data using image recognition technology to extract the text of the menu items. This text information becomes the input for the next step.

[0723] Step 3:

[0724] Allergen analysis

[0725] The cloud server analyzes the extracted text information (menu items) and identifies allergen ingredients. For example, if the text information "peanut butter sandwich" is received as input, the server identifies whether it contains peanuts. The identified allergen information is the output sent by the server to the user.

[0726] Step 4:

[0727] Alternative food suggestions

[0728] The server searches and suggests safe alternative foods from the database based on the identified allergen information. When allergen information (e.g., peanuts) is received as input, the server searches and selects alternative foods (e.g., sunflower seed butter) and sends the information to the user. This results in the suggested alternative foods being output.

[0729] Step 5:

[0730] Alternative food choices

[0731] The user selects one of the suggested alternative foods. The selected information (e.g., sunflower seed butter) is obtained as input data. The user's selection is sent by the terminal to the server and becomes input for the next process.

[0732] Step 6:

[0733] Providing an AR tasting experience

[0734] The device (smartphone) launches augmented reality (AR) software for the selected food alternative, which provides the selected food information (e.g., sunflower seed butter) as input. The device applies visual and olfactory AR filters, allowing the user to enjoy a virtual eating experience (e.g., "feels like peanut butter"). The virtual eating experience is provided as output.

[0735] In this way, the entire system provides a safe and satisfying dining experience for users.

[0736] 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.

[0737] This invention is a system that allows users with food allergies to enjoy meals safely. It acquires the user's allergy information and preference information, identifies allergens by analyzing the input food information, and suggests safe alternative foods. The system also applies an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods. Furthermore, by combining an emotion engine that recognizes the user's emotions, the system makes suggestions based on the user's emotional state, further enhancing the virtual dining experience.

[0738] Program processing flow

[0739] 1. Obtaining user information

[0740] When a user logs in to the app, the server retrieves the user's allergy and preference information from the database.

[0741] Example: When a user logs into an app, the server verifies that the user has a peanut allergy.

[0742] 2. Acceptance of input food

[0743] The user enters the name of the food they want to eat into the app, for example, "peanut butter."

[0744] Example: User types "I want peanut butter."

[0745] 3. Food information analysis

[0746] The server analyzes the entered food name and identifies the allergens contained in it.

[0747] Example: The server identifies that peanuts in "peanut butter" are an allergen.

[0748] 4. Alternative product suggestions

[0749] Based on the allergen information, the server searches a database for alternative safe foods and suggests them to the user.

[0750] Example: The server suggests "sunflower seed butter" as an alternative to peanut butter.

[0751] 5. Select and confirm replacement products

[0752] The user selects the suggested food replacement.

[0753] Example: User selects "Sunflower Seed Butter."

[0754] 6. Providing AR experiences

[0755] The device activates dedicated AR software, applying filters that enhance visual and olfactory information, creating a virtual dining experience for the user.

[0756] Example: Through the AR device, users can experience the sensation of eating peanut butter while eating sunflower seed butter.

[0757] 7. Emotion recognition

[0758] The device activates an emotion engine to analyze the user's facial and voice data and recognize their current emotional state.

[0759] For example, while the user is interacting with the app, the device recognizes the user's emotions (e.g., happiness, surprise, sadness, etc.).

[0760] 8. Adjusting suggestions based on emotions

[0761] The server receives data from the emotion engine and adjusts the food replacement suggestions according to the user's emotional state.

[0762] For example, if the user is feeling stressed, the server will suggest foods that have a relaxing effect.

[0763] 9. Emotion-based AR experience adjustment

[0764] The device dynamically changes the AR filter effect based on data from the emotion engine.

[0765] For example, if the user is having fun, add a visually pleasing effect. Conversely, if the user is feeling down, change to a calming and relaxing effect.

[0766] Specific examples

[0767] Example 1: Peanut butter

[0768] 1. The user launches the app and logs in.

[0769] 2. The server retrieves the user's allergy information and verifies that the user has a peanut allergy.

[0770] 3. The user types "I want peanut butter" into the input field.

[0771] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[0772] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[0773] 6. The user selects the suggested substitute "Sunflower Seed Butter."

[0774] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[0775] 8. Users actually eat sunflower seed butter, but the virtual experience is that of eating peanut butter.

[0776] 9. The terminal recognizes the user's emotions, and the server suggests and applies effects that have humorous or relaxing effects.

[0777] Example 2: If you want a chocolate cake

[0778] 1. The user launches the app and logs in.

[0779] 2. The server retrieves the user's allergy information and verifies that the user has a nut allergy.

[0780] 3. The user types "I want chocolate cake" into the input field.

[0781] 4. The server analyzes and identifies the nut ingredients in the "chocolate cake" as an allergen.

[0782] 5. The server suggests a nut-free chocolate cake as an alternative and sends that information to the device.

[0783] 6. The user selects the suggested nut-free chocolate cake.

[0784] 7. The device will then activate its AR software and apply a visual and olfactory filter of a chocolate cake with nuts.

[0785] 8. The user actually eats a nut-free chocolate cake, but virtually experiences it as if they were eating a chocolate cake with nuts.

[0786] 9. The device recognizes the user's emotions, and the server suggests and applies visually soothing effects according to the emotions.

[0787] The above is an embodiment of the present invention, which enables users with food allergies to enjoy a safe and satisfying dining experience. By combining it with an emotion engine, the user's psychological satisfaction can be further improved.

[0788] The processing flow will be explained below.

[0789] Step 1:

[0790] The user launches the app and logs in.

[0791] The user launches the app and enters their login information to log in to the system.

[0792] The terminal sends the login information to the server to authenticate the user's account.

[0793] Step 2:

[0794] The server obtains the user's allergy information and preference information from a database.

[0795] The server queries and retrieves the authenticated user's allergy information (e.g., peanut allergy) and preference information from a database.

[0796] The server transmits this information to the terminal.

[0797] Step 3:

[0798] The user enters the name of the food they want to eat into the app.

[0799] The user enters the name of the food they want to eat (e.g., "peanut butter") into the app's input field.

[0800] The terminal transmits the entered food name to the server.

[0801] Step 4:

[0802] The server analyzes the entered food information and identifies the allergens contained in it.

[0803] The server analyzes the food name (e.g., "peanut butter") and detects the ingredients it contains.

[0804] The server checks the allergen database to identify the allergens contained in the food (e.g., peanuts).

[0805] Step 5:

[0806] The server searches a database for alternative safe foods based on the identified allergen information.

[0807] The server searches a database for alternative foods that do not contain the identified allergen (e.g., peanuts).

[0808] The server generates a list of alternative foods (e.g., sunflower seed butter).

[0809] Step 6:

[0810] The server sends information about alternative foods to the terminal and suggests them to the user.

[0811] The server transmits the generated list of substitute foods to the terminal.

[0812] The terminal displays information about alternative foods to the user.

[0813] Step 7:

[0814] The user selects the suggested food replacement.

[0815] The user selects the desired substitution (e.g., sunflower seed butter) from a list of suggested substitutions.

[0816] The terminal transmits the selected information to the server.

[0817] Step 8:

[0818] The server verifies the selected food substitute and transmits the selection to the terminal.

[0819] The server confirms the user's selection (e.g., sunflower seed butter) and sends details of the selected alternative food to the terminal.

[0820] Step 9:

[0821] The device activates dedicated AR software and applies filters that correct visual and olfactory information.

[0822] The device launches the AR software and activates the peanut butter visual and olfactory filters.

[0823] The terminal displays the package information for the selected alternative food (e.g., sunflower seed butter).

[0824] Step 10:

[0825] The terminal activates an emotion engine to recognize the user's emotional state.

[0826] The device analyzes the user's facial expressions and voice data to detect their current emotional state (e.g., joy, surprise, sadness, etc.).

[0827] Step 11:

[0828] The server receives data from the emotion engine and adjusts the alternative food suggestions based on the user's emotional state.

[0829] Based on the emotional data obtained from the emotion engine, the server reevaluates the list of alternative foods taking into account the user's emotional state and makes optimal suggestions.

[0830] Step 12:

[0831] The device dynamically changes the AR filter effect based on data from the emotion engine.

[0832] The device dynamically adjusts visual and olfactory effects according to the user's emotional state, for example adding visually pleasing effects when the user is having fun, or providing calming and relaxing effects when the user is feeling more relaxed.

[0833] Step 13:

[0834] When users eat the substitute food, AR effects are used to provide a virtual eating experience.

[0835] While users actually eat the sunflower seed butter, the device's AR functionality allows them to virtually experience the sensation of eating peanut butter. The emotional engine adds effects to further enhance the virtual eating experience.

[0836] The above are the specific processing steps of the present invention.

[0837] Example 2

[0838] 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."

[0839] Currently, it is difficult for users with food allergies to enjoy a safe and satisfying dining experience. Conventional systems are insufficient in identifying allergens and suggesting alternative foods, preventing users from enjoying meals with peace of mind. Furthermore, there is no system that can not only provide food information but also make suggestions based on the user's emotional state, so improving users' psychological satisfaction is a challenge.

[0840] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for acquiring the user's allergy information and preference information, means for analyzing food information entered by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods, and means for recognizing the user's emotions during the virtual dining experience and adjusting the suggestions based on the emotions. This enables users with food allergies to enjoy a safe and satisfying dining experience, and further improves their psychological satisfaction by adjusting the suggestions based on the emotions.

[0841] "User allergy information" is information about the possibility that the user may have an allergic reaction to a particular food ingredient.

[0842] "Preference information" is information about the foods and ingredients that the user likes.

[0843] "Food information" refers to the name of a specific food that the user has input as something they would like to eat, as well as related information.

[0844] "Allergen" refers to a component that causes an allergic reaction in a user.

[0845] "Alternative safe foods" are foods that do not contain the specific allergen and are safe for the user to consume.

[0846] A "virtual dining experience" uses augmented reality technology to give users the experience of eating a desired meal, even though they are actually eating different foods.

[0847] "Augmented reality (AR) filters" are a technology that adds virtual effects to the user's sense of sight and smell, virtually enhancing the dining experience.

[0848] "Emotion recognition" is a technology that analyzes data such as a user's facial expressions and voice to determine the user's current emotional state.

[0849] "Adjusting suggestions" refers to appropriately modifying and optimizing the content of alternative foods and virtual dining experiences based on the user's emotional state.

[0850] A "database" is a repository of information that systematically stores user information and data on foods, allergens, alternative foods, etc., and can be searched and referenced as needed.

[0851] The present invention provides a system that allows users with food allergies to enjoy meals safely. An embodiment of this system will be described in detail below.

[0852] System configuration

[0853] This system mainly consists of three elements: a server, a terminal, and a user. The server manages the user's allergy and preference information, analyzes food information, and suggests alternative foods. The terminal accepts input from the user, communicates with the server, and is a device that runs an augmented reality (AR) filter and an emotion recognition engine. Through this system, users can enjoy a safe dining experience.

[0854] Hardware and Software

[0855] The server includes the following components for data processing:

[0856] Database management system: Stores user allergy information, preference information, and food information (e.g., MySQL).

[0857] Analysis engine: Analyzes the food information entered by the user and identifies allergens (e.g., NLP engine).

[0858] Substitution suggestion engine: Searches for and suggests safe alternative foods based on allergen information (e.g., Recommendation Engine).

[0859] The terminal includes the following software components:

[0860] AR software: Providing visual and olfactory filters to help users enjoy a virtual dining experience (e.g., ARKit, ARCore).

[0861] Emotion recognition engine: Analyzes the user's facial and voice data to recognize emotions in real time (e.g., Emotion AI).

[0862] Specific examples

[0863] Example 1: Peanut butter

[0864] 1. The user launches the app and logs in.

[0865] 2. The server retrieves the user's allergy information from the database and confirms that the user has a peanut allergy.

[0866] 3. The user types "I want peanut butter" into the app.

[0867] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[0868] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[0869] 6. The user selects the suggested alternative, “Sunflower Seed Butter,” and begins the AR experience.

[0870] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[0871] 8. Users actually eat sunflower seed butter and virtually experience the sensation of eating peanut butter.

[0872] 9. The device recognizes the user's emotions and sends the user's emotion data to the server.

[0873] 10. The server adjusts the AR effects based on the user's emotions to improve satisfaction.

[0874] Example 2: If you want a chocolate cake

[0875] 1. The user launches the app and logs in.

[0876] 2. The server retrieves the user's nut allergy information from the database.

[0877] 3. The user types, "I want chocolate cake."

[0878] 4. The server analyzes and identifies the nut ingredients in the "chocolate cake" as an allergen.

[0879] 5. The server suggests a nut-free chocolate cake as an alternative and sends that information to the device.

[0880] 6. The user selects the suggested nut-free chocolate cake.

[0881] 7. The device will then activate its AR software and apply a visual and olfactory filter of a chocolate cake with nuts.

[0882] 8. The user actually eats a nut-free chocolate cake, but virtually experiences the experience of eating a chocolate cake with nuts.

[0883] 9. The device recognizes the user's emotions and sends the user's emotion data to the server.

[0884] 10. The server adjusts the AR effects based on the user's emotions to improve satisfaction.

[0885] In this way, the system of the present invention provides a virtual dining experience while ensuring the safety of the user, and by recognizing the user's emotions and making suggestions or adjustments based on those emotions, it enables a more satisfying experience.

[0886] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0887] Step 1:

[0888] When a user logs in to the app, the server receives the user's ID and password and performs an authentication process. If authentication is successful, the server retrieves the user's allergy and preference information from the database. The input is the user ID and password, and the output is the allergy and preference information. The server proceeds to the next processing step based on this.

[0889] Step 2:

[0890] The user enters the name of the food they want to eat into the app's input field. The device receives this input and sends it to the server. The input is the food name, and the output is sending the food name to the server. In concrete terms, the user enters "I want to eat peanut butter."

[0891] Step 3:

[0892] The server receives the food name sent from the terminal and references the food database to obtain information about the ingredients contained in that food. It then performs an analysis to identify allergens. The input is the food name and the output is allergen information. Specifically, the server identifies the peanuts contained in "peanut butter" as an allergen.

[0893] Step 4:

[0894] The server searches a database for safe alternative foods based on allergen information and generates a list of alternatives. The input is allergen information, and the output is a list of alternative foods. Specifically, the server suggests "sunflower seed butter" instead of "peanut butter."

[0895] Step 5:

[0896] The server sends the list of substitute foods to the terminal. The terminal displays the suggested substitute foods to the user. The input is the list of substitute foods, and the output is the display of the substitute foods to the user. In concrete terms, the terminal suggests "sunflower seed butter" to the user.

[0897] Step 6:

[0898] The user selects one of the suggested alternative foods. The device sends this selection information to the server. The input is the user's selection, and the output is the transmission of the selection information to the server. In a specific example, the user selects "Sunflower Seed Butter."

[0899] Step 7:

[0900] The device activates the AR software and applies visual and olfactory filters corresponding to the selected food alternative. The input is the user's selection and food alternative information, and the output is a virtual eating experience. Specifically, the device applies a sunflower seed butter filter, providing the user with the visual and olfactory sensation of peanut butter.

[0901] Step 8:

[0902] The device activates an emotion recognition engine, analyzes the user's face and voice data, and recognizes their current emotional state. The input is the user's face and voice data, and the output is emotion data. Specifically, the device analyzes the user's smile and tone of voice and recognizes it as "joy."

[0903] Step 9:

[0904] The server receives the emotional data and adjusts the suggestions and AR effects based on the user's emotional state. The input is the emotional data, and the output is the adjusted suggestions and AR effects. Specifically, the server detects the user's joy and adds visually pleasing effects.

[0905] (Application example 2)

[0906] 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."

[0907] Conventional systems for users with food allergies only collect the user's allergy information and suggest safe foods. As a result, the user's dining experience is limited, making it difficult to alleviate the psychological stress of having allergies and improve dining satisfaction. Furthermore, because the system does not adjust the dining suggestions or experience to take the user's emotional state into consideration, it is not possible to improve the user's overall satisfaction.

[0908] 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.

[0909] In this invention, the server includes means for acquiring allergy information and preference information of a user, means for analyzing food information input by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality filter to provide a virtual dining experience using the suggested alternative foods, means for activating an emotion engine that recognizes the user's emotional state, and means for utilizing data from the emotion engine to make suggestions according to the user's emotional state, thereby making it possible to not only provide a safe dining experience for the user but also enrich the dining experience by taking the emotional state into consideration and increase overall satisfaction.

[0910] "User allergy information" refers to information about the specific food ingredients or substances to which an individual user has a reaction.

[0911] "Preference information" is information about the user's personal preferences regarding ingredients and dishes that they like.

[0912] "Food information" is information about specific dishes or ingredients that a user has entered or searched for.

[0913] An "allergen" is a substance or ingredient that primarily causes an allergic reaction.

[0914] "Alternative safe foods" are foods that do not contain the specific allergen and are safe for the user to consume.

[0915] "Augmented reality filters" are technologies used to provide virtual visual and olfactory information.

[0916] An "emotion engine" is a technology that analyzes a user's facial and voice data to recognize their emotional state.

[0917] A "database" is a collection of structured information, and in this case it stores user information and food data.

[0918] This invention is a system that allows users with food allergies to enjoy meals safely. It acquires the user's allergy information and preference information, identifies allergens by analyzing the input food information, and suggests safe alternative foods. Furthermore, the system applies an augmented reality filter to provide a virtual dining experience using the suggested alternative foods on a device, and further utilizes an emotion engine to make suggestions according to the user's emotional state.

[0919] Hardware and software used

[0920] Hardware:

[0921] Smartphone: iPhone or Android device

[0922] Camera: Front camera for emotion recognition

[0923] software:

[0924] Server side: Node.js, Express, MongoDB

[0925] Client Side: React Native

[0926] Emotion recognition engine: Microsoft Azure Emotion API

[0927] AR software: ARKit (iOS) or ARCore (Android)

[0928] Program Overview

[0929] First, when a user logs in to the application, the server retrieves the user's allergy and preference information from a database. Next, when the user enters the name of a food they want to eat into the app, the server analyzes the entered food name and identifies the allergens contained in it. It then suggests safe alternative foods based on the identified allergen information.

[0930] Once the user selects a suggested food replacement, the device activates AR software, applying visual and olfactory filters to provide a virtual dining experience. Furthermore, the device's emotion engine analyzes the user's facial and voice data to tailor the dining experience based on the user's emotional state.

[0931] Specific examples

[0932] For example, if a user types "I want to eat peanut butter," the server determines that the user has a peanut allergy and analyzes and identifies the peanuts in peanut butter as an allergen. The server then suggests "sunflower seed butter" as an alternative food and sends that information to the device. If the user selects "sunflower seed butter," the device activates the AR software and applies the visual and olfactory filters of peanut butter to provide a virtual eating experience. In addition, the device uses an emotion engine to analyze the user's emotions and adjust feedback based on those emotions.

[0933] Prompt Sentence Examples

[0934] Prompts for input to generative AI models:

[0935] "The user inputs that they want to eat peanut butter. The user has a peanut allergy. What should the app suggest as an alternative to peanut butter?"

[0936] answer:

[0937] "The app suggests sunflower seed butter as an alternative to peanut butter."

[0938] This embodiment of the present invention allows users to enjoy a satisfying dining experience while being safe for their allergies. Furthermore, by utilizing the emotion engine, it is possible to provide detailed support according to the user's emotional state, thereby improving the user's psychological and sensory satisfaction.

[0939] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0940] Step 1:

[0941] When a user logs into the application, the server retrieves the user information from the database.

[0942] Input: User ID

[0943] Output: Allergy and preference information

[0944] The server retrieves the relevant allergy and preference information from MongoDB based on the user ID, which serves as the basis for future processing to help the user enjoy a safe meal.

[0945] Step 2:

[0946] The user enters the name of the food they want to eat into the app.

[0947] Input: Food name (e.g. "peanut butter")

[0948] Output: Food name

[0949] The user inputs the name of the food they want to eat into the input screen of the smartphone app, and this information is sent to the server.

[0950] Step 3:

[0951] The server analyzes the entered food name and identifies the allergens contained in that food.

[0952] Input: Food name (e.g. "peanut butter"), allergy information

[0953] Output: Allergen information

[0954] The server retrieves the ingredient information of the relevant food from a food database and identifies the allergen by comparing it with the user's allergy information.

[0955] Step 4:

[0956] The server searches a database for and suggests alternative safe foods based on the identified allergen information.

[0957] Input: Allergen information, preference information

[0958] Output: Food substitute (e.g. "Sunflower Seed Butter")

[0959] The server searches a database for alternative foods that do not contain allergens and match the user's preferences, and sends this information to the terminal.

[0960] Step 5:

[0961] The user selects the suggested food replacement.

[0962] Input: List of alternative foods

[0963] Output: Selected food alternatives

[0964] Users can select safe and preferred foods from a list of alternative foods displayed on the device.

[0965] Step 6:

[0966] The device activates AR software and applies visual and olfactory filters to provide a virtual dining experience.

[0967] Input: Selected substitute food, allergen information, preference information

[0968] Output: Augmented reality filter (visual and olfactory feedback)

[0969] The device uses ARKit or ARCore to generate a virtual visual and olfactory experience for the user's actual food substitutes.

[0970] Step 7:

[0971] The device's emotion engine analyzes the user's facial and voice data to recognize their current emotional state.

[0972] Input: User's face image and voice data

[0973] Output: Emotional state data (e.g., "happiness," "surprise")

[0974] The device sends facial images captured by the front camera and audio data captured by the microphone to Microsoft Azure's Emotion API for emotional analysis.

[0975] Step 8:

[0976] The server uses the data from the emotion engine to provide feedback according to the user's emotional state.

[0977] Input: Emotional state data, selected food alternatives

[0978] Output: Modulated feedback (visual and olfactory effects)

[0979] The server receives the user's emotional state data, adjusts the AR feedback to match the emotion, and sends it to the device.

[0980] Step 9:

[0981] The device dynamically applies AR filters based on emotions to optimize the user's dining experience.

[0982] Input: Calibrated feedback

[0983] Output: Improved dining experience

[0984] The device dynamically updates AR filters and applies visual and olfactory effects according to the user's emotional state to optimize the user's dining experience.

[0985] 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.

[0986] 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.

[0987] 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.

[0988] [Third embodiment]

[0989] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0990] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0991] 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).

[0992] 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.

[0993] 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.

[0994] 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).

[0995] 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.

[0996] 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.

[0997] 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.

[0998] 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.

[0999] 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.

[1000] 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."

[1001] This system allows users with food allergies to enjoy meals safely. It acquires the user's allergy and preference information, analyzes the input food information to identify allergens, and suggests safe alternative foods. It also applies an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods.

[1002] Program processing flow

[1003] 1. Obtaining user information

[1004] When a user logs in to the app, the server retrieves the user's allergy and preference information from the database.

[1005] Example: When a user logs into an app, the server verifies that the user has a peanut allergy.

[1006] 2. Acceptance of input food

[1007] The user enters the name of the food they want to eat into the app, for example, "peanut butter."

[1008] Example: User types "I want peanut butter."

[1009] 3. Food information analysis

[1010] The server analyzes the entered food name and identifies the allergens contained in it.

[1011] Example: The server identifies that peanuts in "peanut butter" are an allergen.

[1012] 4. Alternative product suggestions

[1013] Based on the allergen information, the server searches a database for alternative safe foods and suggests them to the user.

[1014] Example: The server suggests "sunflower seed butter" as an alternative to peanut butter.

[1015] 5. Select and confirm replacement products

[1016] The user selects the suggested food replacement.

[1017] Example: User selects "Sunflower Seed Butter."

[1018] 6. Providing AR experiences

[1019] The device activates dedicated AR software, applying filters that enhance visual and olfactory information, creating a virtual dining experience for the user.

[1020] Example: Through the AR device, users can experience the sensation of eating peanut butter while eating sunflower seed butter.

[1021] Specific examples

[1022] Example 1: Peanut butter

[1023] 1. The user launches the app and logs in.

[1024] 2. The server retrieves the user's allergy information and verifies that the user has a peanut allergy.

[1025] 3. The user types "I want peanut butter" into the input field.

[1026] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[1027] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[1028] 6. The user selects the suggested substitute "Sunflower Seed Butter."

[1029] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[1030] 8. Users actually eat sunflower seed butter, but the virtual experience is that of eating peanut butter.

[1031] Example 2: If you want a chocolate cake

[1032] 1. The user launches the app and logs in.

[1033] 2. The server retrieves the user's allergy information and verifies that the user has a nut allergy.

[1034] 3. The user types "I want chocolate cake" into the input field.

[1035] 4. The server analyzes and identifies the nut ingredients in the "chocolate cake" as an allergen.

[1036] 5. The server suggests a nut-free chocolate cake as an alternative and sends that information to the device.

[1037] 6. The user selects the suggested nut-free chocolate cake.

[1038] 7. The device will then activate its AR software and apply a visual and olfactory filter of a chocolate cake with nuts.

[1039] 8. The user actually eats a nut-free chocolate cake, but virtually experiences it as if they were eating a chocolate cake with nuts.

[1040] The above is an embodiment of the present invention, which allows users with food allergies to enjoy a safe and satisfying dining experience.

[1041] The processing flow will be explained below.

[1042] Step 1:

[1043] The user launches the app and logs in.

[1044] The user launches the app and enters their login information to log in to the system.

[1045] The terminal sends the login information to the server to authenticate the user's account.

[1046] Step 2:

[1047] The server obtains the user's allergy information and preference information from a database.

[1048] The server queries and retrieves the authenticated user's allergy information (e.g., peanut allergy) and preference information from a database.

[1049] The server transmits this information to the terminal.

[1050] Step 3:

[1051] The user enters the name of the food they want to eat into the app.

[1052] The user enters the name of the food they want to eat (e.g., "peanut butter") into the app's input field.

[1053] The terminal transmits the entered food name to the server.

[1054] Step 4:

[1055] The server analyzes the entered food information and identifies the allergens contained in it.

[1056] The server analyzes the food name (e.g., "peanut butter") and detects the ingredients it contains.

[1057] The server checks the allergen database to identify the allergens contained in the food (e.g., peanuts).

[1058] Step 5:

[1059] The server searches a database for alternative safe foods based on the identified allergen information.

[1060] The server searches a database for alternative foods that do not contain the identified allergen (e.g., peanuts).

[1061] The server generates a list of alternative foods (e.g., sunflower seed butter).

[1062] Step 6:

[1063] The server sends information about alternative foods to the terminal and suggests them to the user.

[1064] The server transmits the generated list of substitute foods to the terminal.

[1065] The terminal displays information about alternative foods to the user.

[1066] Step 7:

[1067] The user selects the suggested food replacement.

[1068] The user selects the desired substitution (e.g., sunflower seed butter) from a list of suggested substitutions.

[1069] The terminal transmits the selected information to the server.

[1070] Step 8:

[1071] The server verifies the selected food substitute and transmits the selection to the terminal.

[1072] The server confirms the user's selection and sends details of the selected substitute food to the terminal.

[1073] Step 9:

[1074] The device activates dedicated AR software and applies filters that correct visual and olfactory information.

[1075] The device launches the AR software and activates the peanut butter visual and olfactory filters.

[1076] The terminal displays the package information for the selected alternative food (e.g., sunflower seed butter).

[1077] Step 10:

[1078] When users eat the substitute food, AR effects are used to provide a virtual eating experience.

[1079] Users actually eat sunflower seed butter, but the device's AR function allows them to virtually experience the sensation of eating peanut butter.

[1080] The above are the specific processing steps of the present invention.

[1081] Example 1

[1082] 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."

[1083] In today's world, there are still many people with food allergies, and the means by which they can enjoy meals safely are limited. It can be particularly difficult to check whether a food contains allergens when eating out or trying new foods. To ensure the enjoyment of meals is not compromised, it is necessary not only to suggest alternative foods but also to provide an experience that reflects the user's preferences.

[1084] 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.

[1085] In this invention, the server includes means for acquiring allergy information and preference information of a user, means for analyzing food information entered by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods, and means for displaying and confirming the alternative foods selected by the user, thereby enabling users with food allergies to enjoy a safe and satisfying virtual dining experience.

[1086] The "means for acquiring user's allergy information and preference information" refers to a software and hardware configuration for acquiring data relating to allergies and preferences registered in advance by the user from a database.

[1087] "Means for analyzing food information entered by the user and identifying allergens contained in that food" refers to a natural language processing engine or database search engine that analyzes the food name and ingredients entered by the user and identifies the ingredients that cause allergies.

[1088] The "means for suggesting alternative safe foods based on identified allergen information" refers to an algorithm and software configuration for searching a database for allergen-free foods and suggesting them to the user.

[1089] "Means for applying augmented reality (AR) filters to provide a virtual dining experience using suggested food substitutes" refers to a configuration of augmented reality technology and software for applying visual and olfactory filters to the food substitutes selected by the user to provide a virtual dining experience.

[1090] "Means for displaying and confirming user-selected substitutions" refers to the interface and software configuration that allows the user to select from a list of suggested substitutions and confirm the selection.

[1091] The "means for correcting visual and olfactory information" refers to a configuration of filters and software for virtually reproducing real visual and olfactory information using AR technology.

[1092] A "database" is an information management system that stores and makes searchable data such as user allergy information, preference information, food ingredients, and alternative foods.

[1093] A "natural language processing engine" is a configuration of algorithms and software that analyzes text information entered by users and identifies food ingredients and allergens.

[1094] "Augmented reality technology" is a technology for virtually reproducing visual and olfactory information from the real world, and is used to provide users with a virtual dining experience.

[1095] This invention is a system that allows users with food allergies to enjoy meals safely. The system acquires the user's allergy and preference information, analyzes the input food information to identify allergens, and suggests safe alternative foods. It also applies an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods.

[1096] First, when a user logs in to the app, the server retrieves the user's allergy and preference information from a database. This database stores allergy information and food preference information that the user has registered in advance. A commonly used relational database (e.g., MySQL) can be used as the database management system.

[1097] Next, the user enters something into an input field in the app, such as "I want to eat peanut butter." The device sends the information to the server using a fast and secure communication protocol (e.g., HTTPS).

[1098] The server uses a natural language processing engine that utilizes a generative AI model (e.g., OpenAI GPT-3) to analyze the received food name. Based on the analysis results, it compares it with a food database to identify possible allergens contained in the food. For example, for "peanut butter," it identifies peanuts as an allergen.

[1099] Based on the identified allergen information, the server searches for safe alternative foods. The server searches its database for foods that do not contain the identified allergens and suggests them, taking into account the user's preferences. For example, it suggests "sunflower seed butter" as an alternative to peanut butter. This information is sent to the device.

[1100] The device then displays a list of suggested food substitutes to the user, who then selects a food from the list. The information about the selected food substitute is then sent back to the server, where it is stored. Once the selection is confirmed, the device launches dedicated AR software (e.g., Vuforia) and applies visual and olfactory filters to the selected food substitute.

[1101] Using augmented reality technology, users can virtually eat "peanut butter" even though they are actually eating "sunflower seed butter," thanks to a filter effect. This allows users with food allergies to enjoy a safe and satisfying virtual eating experience.

[1102] Specific examples

[1103] 1. The user launches the app and logs in.

[1104] 2. The server obtains the user's allergy and preference information and verifies that the user has a peanut allergy.

[1105] 3. The user types "I want peanut butter" into the input field.

[1106] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[1107] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[1108] 6. The user selects the suggested substitute "Sunflower Seed Butter."

[1109] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[1110] 8. Users actually eat sunflower seed butter, but the virtual experience is that of eating peanut butter.

[1111] Prompt Sentence Examples

[1112] What are the ingredients in peanut butter?

[1113] What allergens are contained in chocolate cake?

[1114] The system of the present invention can reduce the risks of food allergies by suggesting alternative foods based on the user's food allergy information and providing a safe and satisfying dining experience.

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

[1116] Step 1: User Login

[1117] The user logs in to the app by entering their user ID and password.

[1118] The terminal transmits the entered authentication information to the server.

[1119] The server accesses the database and authenticates the user by checking the user ID and password.

[1120] Input: User ID, Password

[1121] Output: Authentication result (success / failure)

[1122] Specific operation: The application on the device receives the ID and password from the user and sends them to the server via HTTPS. The server connects to a database (e.g., MySQL) and determines the authentication result.

[1123] Step 2: Obtaining allergy and preference information

[1124] The server obtains the allergy information and preference information of the successfully authenticated user from the database.

[1125] Input: User ID

[1126] Output: Allergy information, preference information

[1127] Specific operation: The server retrieves the user's allergy information (e.g., peanut allergy) and preference information (e.g., preference for spicy food) from the database and temporarily stores them in a cache.

[1128] Step 3: Enter the food you want to eat

[1129] A user enters the name of a food they want to eat into an input field within the app. For example, they enter "I want to eat peanut butter."

[1130] The terminal transmits the input information to the server.

[1131] Input: Name of food you want to eat

[1132] Output: Result of sending the name of the food you want to eat

[1133] Specific operation: The user enters text into the input field and presses the send button. The device sends the input content to the server via the HTTPS protocol.

[1134] Step 4: Analyze food information

[1135] The server analyzes the received food name "peanut butter" using a natural language processing engine (e.g., a generative AI model).

[1136] Based on the analysis results, the server retrieves ingredient information from a food database and identifies the allergens contained.

[1137] Input: Food name (peanut butter)

[1138] Output: Allergen information (peanuts)

[1139] Specific operation: The server uses a generative AI model (e.g., OpenAI GPT-3) to analyze the input food name, compare it with a food database, and identify allergens.

[1140] Step 5: Suggesting alternative foods

[1141] Based on the identified allergen information, the server searches a database for safe alternative foods and suggests them to the user.

[1142] Input: Allergen information (peanut allergy)

[1143] Output: List of substitute foods (e.g. sunflower seed butter)

[1144] Specific operation: The server uses the allergen information to search the database, lists the corresponding alternative foods, and sends the information to the user's device.

[1145] Step 6: Select and confirm replacement foods

[1146] The terminal displays the received list of substitute foods to the user.

[1147] The user selects any food from the suggested substitute food list and presses the confirm button.

[1148] The terminal transmits the selected information to the server.

[1149] Input: Selected Food Substitute (Sunflower Seed Butter)

[1150] Output: Selection confirmation information

[1151] Specific operation: When the user selects from the list of alternative foods and presses the confirmation button, the device sends the information to the server, which then stores the selection.

[1152] Step 7: Prepare and deliver your AR experience

[1153] The device then activates dedicated AR software, applying visual and olfactory filters to the selected food alternative.

[1154] Input: Selected Food Substitute (Sunflower Seed Butter)

[1155] Output: AR experience data

[1156] What it does: The device launches an AR-supported application (e.g., Vuforia) and applies visual and olfactory filters to provide a virtual dining experience.

[1157] Step 8: Implement a virtual experience

[1158] Through the device, users can virtually experience eating "peanut butter" while actually eating "sunflower seed butter."

[1159] Input: AR experience data

[1160] Output: Virtual dining experience

[1161] Specific operation: The user uses the device to enjoy a virtual dining experience through visual and olfactory information with AR filters applied.

[1162] (Application example 1)

[1163] 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."

[1164] For users with food allergies, choosing safe meals when eating out is a major challenge. Furthermore, there are many foods that cannot be eaten due to food allergies, resulting in low satisfaction with the meal. Conventional methods involve visually inspecting menus to determine whether or not an allergen is present, but this method often has limitations and lacks accuracy. As a result, users run the risk of accidentally ingesting the allergen. Furthermore, even when safe alternative foods are suggested, their taste and texture differ, resulting in low satisfaction. Therefore, a method is needed to provide accurate allergen information in real time when eating out and increase satisfaction.

[1165] 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.

[1166] In this invention, the server includes means for acquiring user allergy and preference information, means for analyzing food information entered by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods, and means for scanning restaurant menus and analyzing allergen information in real time, thereby enabling users to enjoy a satisfying meal while ensuring safety when dining out.

[1167] A "user" is a person who uses the system to input and obtain information about meals.

[1168] "Allergy information" refers to data about a user's food allergies, including information about whether a user has an allergic reaction to a specific food ingredient or component.

[1169] "Preference information" is data relating to the ingredients, dishes, and tastes that a user likes.

[1170] "Food information" is information about foods and dishes that interest the user.

[1171] An "allergen" is a substance or ingredient that causes a food allergy.

[1172] "Replacement foods" are foods that do not contain allergens or that are safe for the user to eat.

[1173] "Augmented reality (AR) filters" are a technology that allows users to have a virtual dining experience through their senses of sight and smell.

[1174] "Scanning a menu" means electronically reading a restaurant menu using a camera on a smartphone, tablet, or other device.

[1175] "Real-time analysis" means processing scanned information immediately and providing analysis results quickly.

[1176] "Server" refers to a computer system that processes and manages user information and food information and provides necessary data.

[1177] The present invention is a system for providing a safe and satisfying dining experience to users with food allergies. A specific embodiment of this system will be described below.

[1178] Overall system overview

[1179] The system primarily collects and analyzes the user's allergy and preference information, scans restaurant menus to identify and suggest allergens in real time, and uses augmented reality (AR) technology to provide a virtual dining experience.

[1180] Hardware and software used

[1181] Smartphone: iOS or Android device

[1182] Camera: Used to scan menus

[1183] Cloud server: Used for data analysis and user information management

[1184] AR software: Google ARCore (Android) / Apple ARKit (iOS)

[1185] Program processing flow

[1186] 1. User information registration

[1187] The user launches the app and enters allergy and preference information. This information is stored in a database on the cloud server. For example, a user might enter information such as "peanut allergy" and "chocolate lover."

[1188] 2. Menu scanning and allergen analysis

[1189] Users scan a menu at a restaurant with their smartphone camera. The scanned image data is sent to a cloud server, where image recognition technology is used to extract the text of the menu items, and then an analysis of the allergen ingredients is performed. The analysis results are provided to the user in real time, allowing users to avoid the risk of ordering a menu item containing peanuts.

[1190] 3. Alternative food suggestions

[1191] Based on the analyzed allergen information, the server searches the database for safe alternative foods and suggests them to the user, for example, "sunflower seed butter" instead of peanut butter.

[1192] 4. Providing AR tasting experiences

[1193] After users select a food alternative, the smartphone's AR software activates and provides a virtual tasting experience, allowing users to virtually eat peanut butter while actually eating sunflower seed butter.

[1194] Prompt Sentence Examples

[1195] The following is an example of the prompt that is displayed after the user logs in:

[1196] "Scan your favorite menu with your camera."

[1197] This system will significantly improve safety and satisfaction when eating out for people with food allergies, allowing them to enjoy a variety of meals with peace of mind.

[1198] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1199] Step 1:

[1200] Registering user information

[1201] The user launches the app and enters allergy and preference information. This provides the user's allergy information (e.g., peanut allergy) and preference information (e.g., chocolate lover) as input data. The input data is sent to a cloud server and stored in a database. The server stores and manages this information and uses it for subsequent processing.

[1202] Step 2:

[1203] Scan the menu

[1204] A user scans a menu at a restaurant using their smartphone camera, capturing image data of the menu as input. The device then sends the image data to a cloud server, where it processes the data using image recognition technology to extract the text of the menu items. This text information becomes the input for the next step.

[1205] Step 3:

[1206] Allergen analysis

[1207] The cloud server analyzes the extracted text information (menu items) and identifies allergen ingredients. For example, if the text information "peanut butter sandwich" is received as input, the server identifies whether it contains peanuts. The identified allergen information is the output sent by the server to the user.

[1208] Step 4:

[1209] Alternative food suggestions

[1210] The server searches and suggests safe alternative foods from the database based on the identified allergen information. When allergen information (e.g., peanuts) is received as input, the server searches and selects alternative foods (e.g., sunflower seed butter) and sends the information to the user. This results in the suggested alternative foods being output.

[1211] Step 5:

[1212] Alternative food choices

[1213] The user selects one of the suggested alternative foods. The selected information (e.g., sunflower seed butter) is obtained as input data. The user's selection is sent by the terminal to the server and becomes input for the next process.

[1214] Step 6:

[1215] Providing an AR tasting experience

[1216] The device (smartphone) launches augmented reality (AR) software for the selected food alternative, which provides the selected food information (e.g., sunflower seed butter) as input. The device applies visual and olfactory AR filters, allowing the user to enjoy a virtual eating experience (e.g., "feels like peanut butter"). The virtual eating experience is provided as output.

[1217] In this way, the entire system provides a safe and satisfying dining experience for users.

[1218] 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.

[1219] This invention is a system that allows users with food allergies to enjoy meals safely. It acquires the user's allergy information and preference information, identifies allergens by analyzing the input food information, and suggests safe alternative foods. The system also applies an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods. Furthermore, by combining an emotion engine that recognizes the user's emotions, the system makes suggestions based on the user's emotional state, further enhancing the virtual dining experience.

[1220] Program processing flow

[1221] 1. Obtaining user information

[1222] When a user logs in to the app, the server retrieves the user's allergy and preference information from the database.

[1223] Example: When a user logs into an app, the server verifies that the user has a peanut allergy.

[1224] 2. Acceptance of input food

[1225] The user enters the name of the food they want to eat into the app, for example, "peanut butter."

[1226] Example: User types "I want peanut butter."

[1227] 3. Food information analysis

[1228] The server analyzes the entered food name and identifies the allergens contained in it.

[1229] Example: The server identifies that peanuts in "peanut butter" are an allergen.

[1230] 4. Alternative product suggestions

[1231] Based on the allergen information, the server searches a database for alternative safe foods and suggests them to the user.

[1232] Example: The server suggests "sunflower seed butter" as an alternative to peanut butter.

[1233] 5. Select and confirm replacement products

[1234] The user selects the suggested food replacement.

[1235] Example: User selects "Sunflower Seed Butter."

[1236] 6. Providing AR experiences

[1237] The device activates dedicated AR software, applying filters that enhance visual and olfactory information, creating a virtual dining experience for the user.

[1238] Example: Through the AR device, users can experience the sensation of eating peanut butter while eating sunflower seed butter.

[1239] 7. Emotion recognition

[1240] The device activates an emotion engine to analyze the user's facial and voice data and recognize their current emotional state.

[1241] For example, while the user is interacting with the app, the device recognizes the user's emotions (e.g., happiness, surprise, sadness, etc.).

[1242] 8. Adjusting suggestions based on emotions

[1243] The server receives data from the emotion engine and adjusts the food replacement suggestions according to the user's emotional state.

[1244] For example, if the user is feeling stressed, the server will suggest foods that have a relaxing effect.

[1245] 9. Emotion-based AR experience adjustment

[1246] The device dynamically changes the AR filter effect based on data from the emotion engine.

[1247] For example, if the user is having fun, add a visually pleasing effect. Conversely, if the user is feeling down, change to a calming and relaxing effect.

[1248] Specific examples

[1249] Example 1: Peanut butter

[1250] 1. The user launches the app and logs in.

[1251] 2. The server retrieves the user's allergy information and verifies that the user has a peanut allergy.

[1252] 3. The user types "I want peanut butter" into the input field.

[1253] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[1254] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[1255] 6. The user selects the suggested substitute "Sunflower Seed Butter."

[1256] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[1257] 8. Users actually eat sunflower seed butter, but the virtual experience is that of eating peanut butter.

[1258] 9. The terminal recognizes the user's emotions, and the server suggests and applies effects that have humorous or relaxing effects.

[1259] Example 2: If you want a chocolate cake

[1260] 1. The user launches the app and logs in.

[1261] 2. The server retrieves the user's allergy information and verifies that the user has a nut allergy.

[1262] 3. The user types "I want chocolate cake" into the input field.

[1263] 4. The server analyzes and identifies the nut ingredients in the "chocolate cake" as an allergen.

[1264] 5. The server suggests a nut-free chocolate cake as an alternative and sends that information to the device.

[1265] 6. The user selects the suggested nut-free chocolate cake.

[1266] 7. The device will then activate its AR software and apply a visual and olfactory filter of a chocolate cake with nuts.

[1267] 8. The user actually eats a nut-free chocolate cake, but virtually experiences it as if they were eating a chocolate cake with nuts.

[1268] 9. The device recognizes the user's emotions, and the server suggests and applies visually soothing effects according to the emotions.

[1269] The above is an embodiment of the present invention, which enables users with food allergies to enjoy a safe and satisfying dining experience. By combining it with an emotion engine, the user's psychological satisfaction can be further improved.

[1270] The processing flow will be explained below.

[1271] Step 1:

[1272] The user launches the app and logs in.

[1273] The user launches the app and enters their login information to log in to the system.

[1274] The terminal sends the login information to the server to authenticate the user's account.

[1275] Step 2:

[1276] The server obtains the user's allergy information and preference information from a database.

[1277] The server queries and retrieves the authenticated user's allergy information (e.g., peanut allergy) and preference information from a database.

[1278] The server transmits this information to the terminal.

[1279] Step 3:

[1280] The user enters the name of the food they want to eat into the app.

[1281] The user enters the name of the food they want to eat (e.g., "peanut butter") into the app's input field.

[1282] The terminal transmits the entered food name to the server.

[1283] Step 4:

[1284] The server analyzes the entered food information and identifies the allergens contained in it.

[1285] The server analyzes the food name (e.g., "peanut butter") and detects the ingredients it contains.

[1286] The server checks the allergen database to identify the allergens contained in the food (e.g., peanuts).

[1287] Step 5:

[1288] The server searches a database for alternative safe foods based on the identified allergen information.

[1289] The server searches a database for alternative foods that do not contain the identified allergen (e.g., peanuts).

[1290] The server generates a list of alternative foods (e.g., sunflower seed butter).

[1291] Step 6:

[1292] The server sends information about alternative foods to the terminal and suggests them to the user.

[1293] The server transmits the generated list of substitute foods to the terminal.

[1294] The terminal displays information about alternative foods to the user.

[1295] Step 7:

[1296] The user selects the suggested food replacement.

[1297] The user selects the desired substitution (e.g., sunflower seed butter) from a list of suggested substitutions.

[1298] The terminal transmits the selected information to the server.

[1299] Step 8:

[1300] The server verifies the selected food substitute and transmits the selection to the terminal.

[1301] The server confirms the user's selection (e.g., sunflower seed butter) and sends details of the selected alternative food to the terminal.

[1302] Step 9:

[1303] The device activates dedicated AR software and applies filters that correct visual and olfactory information.

[1304] The device launches the AR software and activates the peanut butter visual and olfactory filters.

[1305] The terminal displays the package information for the selected alternative food (e.g., sunflower seed butter).

[1306] Step 10:

[1307] The terminal activates an emotion engine to recognize the user's emotional state.

[1308] The device analyzes the user's facial expressions and voice data to detect their current emotional state (e.g., joy, surprise, sadness, etc.).

[1309] Step 11:

[1310] The server receives data from the emotion engine and adjusts the alternative food suggestions based on the user's emotional state.

[1311] Based on the emotional data obtained from the emotion engine, the server reevaluates the list of alternative foods taking into account the user's emotional state and makes optimal suggestions.

[1312] Step 12:

[1313] The device dynamically changes the AR filter effect based on data from the emotion engine.

[1314] The device dynamically adjusts visual and olfactory effects according to the user's emotional state, for example adding visually pleasing effects when the user is having fun, or providing calming and relaxing effects when the user is feeling more relaxed.

[1315] Step 13:

[1316] When users eat the substitute food, AR effects are used to provide a virtual eating experience.

[1317] While users actually eat the sunflower seed butter, the device's AR functionality allows them to virtually experience the sensation of eating peanut butter. The emotional engine adds effects to further enhance the virtual eating experience.

[1318] The above are the specific processing steps of the present invention.

[1319] Example 2

[1320] 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."

[1321] Currently, it is difficult for users with food allergies to enjoy a safe and satisfying dining experience. Conventional systems are insufficient in identifying allergens and suggesting alternative foods, preventing users from enjoying meals with peace of mind. Furthermore, there is no system that can not only provide food information but also make suggestions based on the user's emotional state, so improving users' psychological satisfaction is a challenge.

[1322] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for acquiring the user's allergy information and preference information, means for analyzing food information entered by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods, and means for recognizing the user's emotions during the virtual dining experience and adjusting the suggestions based on the emotions. This enables users with food allergies to enjoy a safe and satisfying dining experience, and further improves their psychological satisfaction by adjusting the suggestions based on the emotions.

[1323] "User allergy information" is information about the possibility that the user may have an allergic reaction to a particular food ingredient.

[1324] "Preference information" is information about the foods and ingredients that the user likes.

[1325] "Food information" refers to the name of a specific food that the user has input as something they would like to eat, as well as related information.

[1326] "Allergen" refers to a component that causes an allergic reaction in a user.

[1327] "Alternative safe foods" are foods that do not contain the specific allergen and are safe for the user to consume.

[1328] A "virtual dining experience" uses augmented reality technology to give users the experience of eating a desired meal, even though they are actually eating different foods.

[1329] "Augmented reality (AR) filters" are a technology that adds virtual effects to the user's sense of sight and smell, virtually enhancing the dining experience.

[1330] "Emotion recognition" is a technology that analyzes data such as a user's facial expressions and voice to determine the user's current emotional state.

[1331] "Adjusting suggestions" refers to appropriately modifying and optimizing the content of alternative foods and virtual dining experiences based on the user's emotional state.

[1332] A "database" is a repository of information that systematically stores user information and data on foods, allergens, alternative foods, etc., and can be searched and referenced as needed.

[1333] The present invention provides a system that allows users with food allergies to enjoy meals safely. An embodiment of this system will be described in detail below.

[1334] System configuration

[1335] This system mainly consists of three elements: a server, a terminal, and a user. The server manages the user's allergy and preference information, analyzes food information, and suggests alternative foods. The terminal accepts input from the user, communicates with the server, and is a device that runs an augmented reality (AR) filter and an emotion recognition engine. Through this system, users can enjoy a safe dining experience.

[1336] Hardware and Software

[1337] The server includes the following components for data processing:

[1338] Database management system: Stores user allergy information, preference information, and food information (e.g., MySQL).

[1339] Analysis engine: Analyzes the food information entered by the user and identifies allergens (e.g., NLP engine).

[1340] Substitution suggestion engine: Searches for and suggests safe alternative foods based on allergen information (e.g., Recommendation Engine).

[1341] The terminal includes the following software components:

[1342] AR software: Providing visual and olfactory filters to help users enjoy a virtual dining experience (e.g., ARKit, ARCore).

[1343] Emotion recognition engine: Analyzes the user's facial and voice data to recognize emotions in real time (e.g., Emotion AI).

[1344] Specific examples

[1345] Example 1: Peanut butter

[1346] 1. The user launches the app and logs in.

[1347] 2. The server retrieves the user's allergy information from the database and confirms that the user has a peanut allergy.

[1348] 3. The user types "I want peanut butter" into the app.

[1349] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[1350] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[1351] 6. The user selects the suggested alternative, “Sunflower Seed Butter,” and begins the AR experience.

[1352] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[1353] 8. Users actually eat sunflower seed butter and virtually experience the sensation of eating peanut butter.

[1354] 9. The device recognizes the user's emotions and sends the user's emotion data to the server.

[1355] 10. The server adjusts the AR effects based on the user's emotions to improve satisfaction.

[1356] Example 2: If you want a chocolate cake

[1357] 1. The user launches the app and logs in.

[1358] 2. The server retrieves the user's nut allergy information from the database.

[1359] 3. The user types, "I want chocolate cake."

[1360] 4. The server analyzes and identifies the nut ingredients in the "chocolate cake" as an allergen.

[1361] 5. The server suggests a nut-free chocolate cake as an alternative and sends that information to the device.

[1362] 6. The user selects the suggested nut-free chocolate cake.

[1363] 7. The device will then activate its AR software and apply a visual and olfactory filter of a chocolate cake with nuts.

[1364] 8. The user actually eats a nut-free chocolate cake, but virtually experiences the experience of eating a chocolate cake with nuts.

[1365] 9. The device recognizes the user's emotions and sends the user's emotion data to the server.

[1366] 10. The server adjusts the AR effects based on the user's emotions to improve satisfaction.

[1367] In this way, the system of the present invention provides a virtual dining experience while ensuring the safety of the user, and by recognizing the user's emotions and making suggestions or adjustments based on those emotions, it enables a more satisfying experience.

[1368] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1369] Step 1:

[1370] When a user logs in to the app, the server receives the user's ID and password and performs an authentication process. If authentication is successful, the server retrieves the user's allergy and preference information from the database. The input is the user ID and password, and the output is the allergy and preference information. The server proceeds to the next processing step based on this.

[1371] Step 2:

[1372] The user enters the name of the food they want to eat into the app's input field. The device receives this input and sends it to the server. The input is the food name, and the output is sending the food name to the server. In concrete terms, the user enters "I want to eat peanut butter."

[1373] Step 3:

[1374] The server receives the food name sent from the terminal and references the food database to obtain information about the ingredients contained in that food. It then performs an analysis to identify allergens. The input is the food name and the output is allergen information. Specifically, the server identifies the peanuts contained in "peanut butter" as an allergen.

[1375] Step 4:

[1376] The server searches a database for safe alternative foods based on allergen information and generates a list of alternatives. The input is allergen information, and the output is a list of alternative foods. Specifically, the server suggests "sunflower seed butter" instead of "peanut butter."

[1377] Step 5:

[1378] The server sends the list of substitute foods to the terminal. The terminal displays the suggested substitute foods to the user. The input is the list of substitute foods, and the output is the display of the substitute foods to the user. In concrete terms, the terminal suggests "sunflower seed butter" to the user.

[1379] Step 6:

[1380] The user selects one of the suggested alternative foods. The device sends this selection information to the server. The input is the user's selection, and the output is the transmission of the selection information to the server. In a specific example, the user selects "Sunflower Seed Butter."

[1381] Step 7:

[1382] The device activates the AR software and applies visual and olfactory filters corresponding to the selected food alternative. The input is the user's selection and food alternative information, and the output is a virtual eating experience. Specifically, the device applies a sunflower seed butter filter, providing the user with the visual and olfactory sensation of peanut butter.

[1383] Step 8:

[1384] The device activates an emotion recognition engine, analyzes the user's face and voice data, and recognizes their current emotional state. The input is the user's face and voice data, and the output is emotion data. Specifically, the device analyzes the user's smile and tone of voice and recognizes it as "joy."

[1385] Step 9:

[1386] The server receives the emotional data and adjusts the suggestions and AR effects based on the user's emotional state. The input is the emotional data, and the output is the adjusted suggestions and AR effects. Specifically, the server detects the user's joy and adds visually pleasing effects.

[1387] (Application example 2)

[1388] 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."

[1389] Conventional systems for users with food allergies only collect the user's allergy information and suggest safe foods. As a result, the user's dining experience is limited, making it difficult to alleviate the psychological stress of having allergies and improve dining satisfaction. Furthermore, because the system does not adjust the dining suggestions or experience to take the user's emotional state into consideration, it is not possible to improve the user's overall satisfaction.

[1390] 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.

[1391] In this invention, the server includes means for acquiring allergy information and preference information of a user, means for analyzing food information input by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality filter to provide a virtual dining experience using the suggested alternative foods, means for activating an emotion engine that recognizes the user's emotional state, and means for utilizing data from the emotion engine to make suggestions according to the user's emotional state, thereby making it possible to not only provide a safe dining experience for the user but also enrich the dining experience by taking the emotional state into consideration and increase overall satisfaction.

[1392] "User allergy information" refers to information about the specific food ingredients or substances to which an individual user has a reaction.

[1393] "Preference information" is information about the user's personal preferences regarding ingredients and dishes that they like.

[1394] "Food information" is information about specific dishes or ingredients that a user has entered or searched for.

[1395] An "allergen" is a substance or ingredient that primarily causes an allergic reaction.

[1396] "Alternative safe foods" are foods that do not contain the specific allergen and are safe for the user to consume.

[1397] "Augmented reality filters" are technologies used to provide virtual visual and olfactory information.

[1398] An "emotion engine" is a technology that analyzes a user's facial and voice data to recognize their emotional state.

[1399] A "database" is a collection of structured information, and in this case it stores user information and food data.

[1400] This invention is a system that allows users with food allergies to enjoy meals safely. It acquires the user's allergy information and preference information, identifies allergens by analyzing the input food information, and suggests safe alternative foods. Furthermore, the system applies an augmented reality filter to provide a virtual dining experience using the suggested alternative foods on a device, and further utilizes an emotion engine to make suggestions according to the user's emotional state.

[1401] Hardware and software used

[1402] Hardware:

[1403] Smartphone: iPhone or Android device

[1404] Camera: Front camera for emotion recognition

[1405] software:

[1406] Server side: Node.js, Express, MongoDB

[1407] Client Side: React Native

[1408] Emotion recognition engine: Microsoft Azure Emotion API

[1409] AR software: ARKit (iOS) or ARCore (Android)

[1410] Program Overview

[1411] First, when a user logs in to the application, the server retrieves the user's allergy and preference information from a database. Next, when the user enters the name of a food they want to eat into the app, the server analyzes the entered food name and identifies the allergens contained in it. It then suggests safe alternative foods based on the identified allergen information.

[1412] Once the user selects a suggested food replacement, the device activates AR software, applying visual and olfactory filters to provide a virtual dining experience. Furthermore, the device's emotion engine analyzes the user's facial and voice data to tailor the dining experience based on the user's emotional state.

[1413] Specific examples

[1414] For example, if a user types "I want to eat peanut butter," the server determines that the user has a peanut allergy and analyzes and identifies the peanuts in peanut butter as an allergen. The server then suggests "sunflower seed butter" as an alternative food and sends that information to the device. If the user selects "sunflower seed butter," the device activates the AR software and applies the visual and olfactory filters of peanut butter to provide a virtual eating experience. In addition, the device uses an emotion engine to analyze the user's emotions and adjust feedback based on those emotions.

[1415] Prompt Sentence Examples

[1416] Prompts for input to generative AI models:

[1417] "The user inputs that they want to eat peanut butter. The user has a peanut allergy. What should the app suggest as an alternative to peanut butter?"

[1418] answer:

[1419] "The app suggests sunflower seed butter as an alternative to peanut butter."

[1420] This embodiment of the present invention allows users to enjoy a satisfying dining experience while being safe for their allergies. Furthermore, by utilizing the emotion engine, it is possible to provide detailed support according to the user's emotional state, thereby improving the user's psychological and sensory satisfaction.

[1421] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1422] Step 1:

[1423] When a user logs into the application, the server retrieves the user information from the database.

[1424] Input: User ID

[1425] Output: Allergy and preference information

[1426] The server retrieves the relevant allergy and preference information from MongoDB based on the user ID, which serves as the basis for future processing to help the user enjoy a safe meal.

[1427] Step 2:

[1428] The user enters the name of the food they want to eat into the app.

[1429] Input: Food name (e.g. "peanut butter")

[1430] Output: Food name

[1431] The user inputs the name of the food they want to eat into the input screen of the smartphone app, and this information is sent to the server.

[1432] Step 3:

[1433] The server analyzes the entered food name and identifies the allergens contained in that food.

[1434] Input: Food name (e.g. "peanut butter"), allergy information

[1435] Output: Allergen information

[1436] The server retrieves the ingredient information of the relevant food from a food database and identifies the allergen by comparing it with the user's allergy information.

[1437] Step 4:

[1438] The server searches a database for and suggests alternative safe foods based on the identified allergen information.

[1439] Input: Allergen information, preference information

[1440] Output: Food substitute (e.g. "Sunflower Seed Butter")

[1441] The server searches a database for alternative foods that do not contain allergens and match the user's preferences, and sends this information to the terminal.

[1442] Step 5:

[1443] The user selects the suggested food replacement.

[1444] Input: List of alternative foods

[1445] Output: Selected food alternatives

[1446] Users can select safe and preferred foods from a list of alternative foods displayed on the device.

[1447] Step 6:

[1448] The device activates AR software and applies visual and olfactory filters to provide a virtual dining experience.

[1449] Input: Selected substitute food, allergen information, preference information

[1450] Output: Augmented reality filter (visual and olfactory feedback)

[1451] The device uses ARKit or ARCore to generate a virtual visual and olfactory experience for the user's actual food substitutes.

[1452] Step 7:

[1453] The device's emotion engine analyzes the user's facial and voice data to recognize their current emotional state.

[1454] Input: User's face image and voice data

[1455] Output: Emotional state data (e.g., "happiness," "surprise")

[1456] The device sends facial images captured by the front camera and audio data captured by the microphone to Microsoft Azure's Emotion API for emotional analysis.

[1457] Step 8:

[1458] The server uses the data from the emotion engine to provide feedback according to the user's emotional state.

[1459] Input: Emotional state data, selected food alternatives

[1460] Output: Modulated feedback (visual and olfactory effects)

[1461] The server receives the user's emotional state data, adjusts the AR feedback to match the emotion, and sends it to the device.

[1462] Step 9:

[1463] The device dynamically applies AR filters based on emotions to optimize the user's dining experience.

[1464] Input: Calibrated feedback

[1465] Output: Improved dining experience

[1466] The device dynamically updates AR filters and applies visual and olfactory effects according to the user's emotional state to optimize the user's dining experience.

[1467] 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.

[1468] 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.

[1469] 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.

[1470] [Fourth embodiment]

[1471] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1472] 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.

[1473] 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).

[1474] 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.

[1475] 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.

[1476] 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).

[1477] 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.

[1478] 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.

[1479] 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.

[1480] 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.

[1481] 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.

[1482] 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.

[1483] 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."

[1484] This system allows users with food allergies to enjoy meals safely. It acquires the user's allergy and preference information, analyzes the input food information to identify allergens, and suggests safe alternative foods. It also applies an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods.

[1485] Program processing flow

[1486] 1. Obtaining user information

[1487] When a user logs in to the app, the server retrieves the user's allergy and preference information from the database.

[1488] Example: When a user logs into an app, the server verifies that the user has a peanut allergy.

[1489] 2. Acceptance of input food

[1490] The user enters the name of the food they want to eat into the app, for example, "peanut butter."

[1491] Example: User types "I want peanut butter."

[1492] 3. Food information analysis

[1493] The server analyzes the entered food name and identifies the allergens contained in it.

[1494] Example: The server identifies that peanuts in "peanut butter" are an allergen.

[1495] 4. Alternative product suggestions

[1496] Based on the allergen information, the server searches a database for alternative safe foods and suggests them to the user.

[1497] Example: The server suggests "sunflower seed butter" as an alternative to peanut butter.

[1498] 5. Select and confirm replacement products

[1499] The user selects the suggested food replacement.

[1500] Example: User selects "Sunflower Seed Butter."

[1501] 6. Providing AR experiences

[1502] The device activates dedicated AR software, applying filters that enhance visual and olfactory information, creating a virtual dining experience for the user.

[1503] Example: Through the AR device, users can experience the sensation of eating peanut butter while eating sunflower seed butter.

[1504] Specific examples

[1505] Example 1: Peanut butter

[1506] 1. The user launches the app and logs in.

[1507] 2. The server retrieves the user's allergy information and verifies that the user has a peanut allergy.

[1508] 3. The user types "I want peanut butter" into the input field.

[1509] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[1510] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[1511] 6. The user selects the suggested substitute "Sunflower Seed Butter."

[1512] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[1513] 8. Users actually eat sunflower seed butter, but the virtual experience is that of eating peanut butter.

[1514] Example 2: If you want a chocolate cake

[1515] 1. The user launches the app and logs in.

[1516] 2. The server retrieves the user's allergy information and verifies that the user has a nut allergy.

[1517] 3. The user types "I want chocolate cake" into the input field.

[1518] 4. The server analyzes and identifies the nut ingredients in the "chocolate cake" as an allergen.

[1519] 5. The server suggests a nut-free chocolate cake as an alternative and sends that information to the device.

[1520] 6. The user selects the suggested nut-free chocolate cake.

[1521] 7. The device will then activate its AR software and apply a visual and olfactory filter of a chocolate cake with nuts.

[1522] 8. The user actually eats a nut-free chocolate cake, but virtually experiences it as if they were eating a chocolate cake with nuts.

[1523] The above is an embodiment of the present invention, which allows users with food allergies to enjoy a safe and satisfying dining experience.

[1524] The processing flow will be explained below.

[1525] Step 1:

[1526] The user launches the app and logs in.

[1527] The user launches the app and enters their login information to log in to the system.

[1528] The terminal sends the login information to the server to authenticate the user's account.

[1529] Step 2:

[1530] The server obtains the user's allergy information and preference information from a database.

[1531] The server queries and retrieves the authenticated user's allergy information (e.g., peanut allergy) and preference information from a database.

[1532] The server transmits this information to the terminal.

[1533] Step 3:

[1534] The user enters the name of the food they want to eat into the app.

[1535] The user enters the name of the food they want to eat (e.g., "peanut butter") into the app's input field.

[1536] The terminal transmits the entered food name to the server.

[1537] Step 4:

[1538] The server analyzes the entered food information and identifies the allergens contained in it.

[1539] The server analyzes the food name (e.g., "peanut butter") and detects the ingredients it contains.

[1540] The server checks the allergen database to identify the allergens contained in the food (e.g., peanuts).

[1541] Step 5:

[1542] The server searches a database for alternative safe foods based on the identified allergen information.

[1543] The server searches a database for alternative foods that do not contain the identified allergen (e.g., peanuts).

[1544] The server generates a list of alternative foods (e.g., sunflower seed butter).

[1545] Step 6:

[1546] The server sends information about alternative foods to the terminal and suggests them to the user.

[1547] The server transmits the generated list of substitute foods to the terminal.

[1548] The terminal displays information about alternative foods to the user.

[1549] Step 7:

[1550] The user selects the suggested food replacement.

[1551] The user selects the desired substitution (e.g., sunflower seed butter) from a list of suggested substitutions.

[1552] The terminal transmits the selected information to the server.

[1553] Step 8:

[1554] The server verifies the selected food substitute and transmits the selection to the terminal.

[1555] The server confirms the user's selection and sends details of the selected substitute food to the terminal.

[1556] Step 9:

[1557] The device activates dedicated AR software and applies filters that correct visual and olfactory information.

[1558] The device launches the AR software and activates the peanut butter visual and olfactory filters.

[1559] The terminal displays the package information for the selected alternative food (e.g., sunflower seed butter).

[1560] Step 10:

[1561] When users eat the substitute food, AR effects are used to provide a virtual eating experience.

[1562] Users actually eat sunflower seed butter, but the device's AR function allows them to virtually experience the sensation of eating peanut butter.

[1563] The above are the specific processing steps of the present invention.

[1564] Example 1

[1565] 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."

[1566] In today's world, there are still many people with food allergies, and the means by which they can enjoy meals safely are limited. It can be particularly difficult to check whether a food contains allergens when eating out or trying new foods. To ensure the enjoyment of meals is not compromised, it is necessary not only to suggest alternative foods but also to provide an experience that reflects the user's preferences.

[1567] 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.

[1568] In this invention, the server includes means for acquiring allergy information and preference information of a user, means for analyzing food information entered by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods, and means for displaying and confirming the alternative foods selected by the user, thereby enabling users with food allergies to enjoy a safe and satisfying virtual dining experience.

[1569] The "means for acquiring user's allergy information and preference information" refers to a software and hardware configuration for acquiring data relating to allergies and preferences registered in advance by the user from a database.

[1570] "Means for analyzing food information entered by the user and identifying allergens contained in that food" refers to a natural language processing engine or database search engine that analyzes the food name and ingredients entered by the user and identifies the ingredients that cause allergies.

[1571] The "means for suggesting alternative safe foods based on identified allergen information" refers to an algorithm and software configuration for searching a database for allergen-free foods and suggesting them to the user.

[1572] "Means for applying augmented reality (AR) filters to provide a virtual dining experience using suggested food substitutes" refers to a configuration of augmented reality technology and software for applying visual and olfactory filters to the food substitutes selected by the user to provide a virtual dining experience.

[1573] "Means for displaying and confirming user-selected substitutions" refers to the interface and software configuration that allows the user to select from a list of suggested substitutions and confirm the selection.

[1574] The "means for correcting visual and olfactory information" refers to a configuration of filters and software for virtually reproducing real visual and olfactory information using AR technology.

[1575] A "database" is an information management system that stores and makes searchable data such as user allergy information, preference information, food ingredients, and alternative foods.

[1576] A "natural language processing engine" is a configuration of algorithms and software that analyzes text information entered by users and identifies food ingredients and allergens.

[1577] "Augmented reality technology" is a technology for virtually reproducing visual and olfactory information from the real world, and is used to provide users with a virtual dining experience.

[1578] This invention is a system that allows users with food allergies to enjoy meals safely. The system acquires the user's allergy and preference information, analyzes the input food information to identify allergens, and suggests safe alternative foods. It also applies an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods.

[1579] First, when a user logs in to the app, the server retrieves the user's allergy and preference information from a database. This database stores allergy information and food preference information that the user has registered in advance. A commonly used relational database (e.g., MySQL) can be used as the database management system.

[1580] Next, the user enters something into an input field in the app, such as "I want to eat peanut butter." The device sends the information to the server using a fast and secure communication protocol (e.g., HTTPS).

[1581] The server uses a natural language processing engine that utilizes a generative AI model (e.g., OpenAI GPT-3) to analyze the received food name. Based on the analysis results, it compares it with a food database to identify possible allergens contained in the food. For example, for "peanut butter," it identifies peanuts as an allergen.

[1582] Based on the identified allergen information, the server searches for safe alternative foods. The server searches its database for foods that do not contain the identified allergens and suggests them, taking into account the user's preferences. For example, it suggests "sunflower seed butter" as an alternative to peanut butter. This information is sent to the device.

[1583] The device then displays a list of suggested food substitutes to the user, who then selects a food from the list. The information about the selected food substitute is then sent back to the server, where it is stored. Once the selection is confirmed, the device launches dedicated AR software (e.g., Vuforia) and applies visual and olfactory filters to the selected food substitute.

[1584] Using augmented reality technology, users can virtually eat "peanut butter" even though they are actually eating "sunflower seed butter," thanks to a filter effect. This allows users with food allergies to enjoy a safe and satisfying virtual eating experience.

[1585] Specific examples

[1586] 1. The user launches the app and logs in.

[1587] 2. The server obtains the user's allergy and preference information and verifies that the user has a peanut allergy.

[1588] 3. The user types "I want peanut butter" into the input field.

[1589] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[1590] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[1591] 6. The user selects the suggested substitute "Sunflower Seed Butter."

[1592] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[1593] 8. Users actually eat sunflower seed butter, but the virtual experience is that of eating peanut butter.

[1594] Prompt Sentence Examples

[1595] What are the ingredients in peanut butter?

[1596] What allergens are contained in chocolate cake?

[1597] The system of the present invention can reduce the risks of food allergies by suggesting alternative foods based on the user's food allergy information and providing a safe and satisfying dining experience.

[1598] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1599] Step 1: User Login

[1600] The user logs in to the app by entering their user ID and password.

[1601] The terminal transmits the entered authentication information to the server.

[1602] The server accesses the database and authenticates the user by checking the user ID and password.

[1603] Input: User ID, Password

[1604] Output: Authentication result (success / failure)

[1605] Specific operation: The application on the device receives the ID and password from the user and sends them to the server via HTTPS. The server connects to a database (e.g., MySQL) and determines the authentication result.

[1606] Step 2: Obtaining allergy and preference information

[1607] The server obtains the allergy information and preference information of the successfully authenticated user from the database.

[1608] Input: User ID

[1609] Output: Allergy information, preference information

[1610] Specific operation: The server retrieves the user's allergy information (e.g., peanut allergy) and preference information (e.g., preference for spicy food) from the database and temporarily stores them in a cache.

[1611] Step 3: Enter the food you want to eat

[1612] A user enters the name of a food they want to eat into an input field within the app. For example, they enter "I want to eat peanut butter."

[1613] The terminal transmits the input information to the server.

[1614] Input: Name of food you want to eat

[1615] Output: Result of sending the name of the food you want to eat

[1616] Specific operation: The user enters text into the input field and presses the send button. The device sends the input content to the server via the HTTPS protocol.

[1617] Step 4: Analyze food information

[1618] The server analyzes the received food name "peanut butter" using a natural language processing engine (e.g., a generative AI model).

[1619] Based on the analysis results, the server retrieves ingredient information from a food database and identifies the allergens contained.

[1620] Input: Food name (peanut butter)

[1621] Output: Allergen information (peanuts)

[1622] Specific operation: The server uses a generative AI model (e.g., OpenAI GPT-3) to analyze the input food name, compare it with a food database, and identify allergens.

[1623] Step 5: Suggesting alternative foods

[1624] Based on the identified allergen information, the server searches a database for safe alternative foods and suggests them to the user.

[1625] Input: Allergen information (peanut allergy)

[1626] Output: List of substitute foods (e.g. sunflower seed butter)

[1627] Specific operation: The server uses the allergen information to search the database, lists the corresponding alternative foods, and sends the information to the user's device.

[1628] Step 6: Select and confirm replacement foods

[1629] The terminal displays the received list of substitute foods to the user.

[1630] The user selects any food from the suggested substitute food list and presses the confirm button.

[1631] The terminal transmits the selected information to the server.

[1632] Input: Selected Food Substitute (Sunflower Seed Butter)

[1633] Output: Selection confirmation information

[1634] Specific operation: When the user selects from the list of alternative foods and presses the confirmation button, the device sends the information to the server, which then stores the selection.

[1635] Step 7: Prepare and deliver your AR experience

[1636] The device then activates dedicated AR software, applying visual and olfactory filters to the selected food alternative.

[1637] Input: Selected Food Substitute (Sunflower Seed Butter)

[1638] Output: AR experience data

[1639] What it does: The device launches an AR-supported application (e.g., Vuforia) and applies visual and olfactory filters to provide a virtual dining experience.

[1640] Step 8: Implement a virtual experience

[1641] Through the device, users can virtually experience eating "peanut butter" while actually eating "sunflower seed butter."

[1642] Input: AR experience data

[1643] Output: Virtual dining experience

[1644] Specific operation: The user uses the device to enjoy a virtual dining experience through visual and olfactory information with AR filters applied.

[1645] (Application example 1)

[1646] 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."

[1647] For users with food allergies, choosing safe meals when eating out is a major challenge. Furthermore, there are many foods that cannot be eaten due to food allergies, resulting in low satisfaction with the meal. Conventional methods involve visually inspecting menus to determine whether or not an allergen is present, but this method often has limitations and lacks accuracy. As a result, users run the risk of accidentally ingesting the allergen. Furthermore, even when safe alternative foods are suggested, their taste and texture differ, resulting in low satisfaction. Therefore, a method is needed to provide accurate allergen information in real time when eating out and increase satisfaction.

[1648] 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.

[1649] In this invention, the server includes means for acquiring user allergy and preference information, means for analyzing food information entered by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods, and means for scanning restaurant menus and analyzing allergen information in real time, thereby enabling users to enjoy a satisfying meal while ensuring safety when dining out.

[1650] A "user" is a person who uses the system to input and obtain information about meals.

[1651] "Allergy information" refers to data about a user's food allergies, including information about whether a user has an allergic reaction to a specific food ingredient or component.

[1652] "Preference information" is data relating to the ingredients, dishes, and tastes that a user likes.

[1653] "Food information" is information about foods and dishes that interest the user.

[1654] An "allergen" is a substance or ingredient that causes a food allergy.

[1655] "Replacement foods" are foods that do not contain allergens or that are safe for the user to eat.

[1656] "Augmented reality (AR) filters" are a technology that allows users to have a virtual dining experience through their senses of sight and smell.

[1657] "Scanning a menu" means electronically reading a restaurant menu using a camera on a smartphone, tablet, or other device.

[1658] "Real-time analysis" means processing scanned information immediately and providing analysis results quickly.

[1659] "Server" refers to a computer system that processes and manages user information and food information and provides necessary data.

[1660] The present invention is a system for providing a safe and satisfying dining experience to users with food allergies. A specific embodiment of this system will be described below.

[1661] Overall system overview

[1662] The system primarily collects and analyzes the user's allergy and preference information, scans restaurant menus to identify and suggest allergens in real time, and uses augmented reality (AR) technology to provide a virtual dining experience.

[1663] Hardware and software used

[1664] Smartphone: iOS or Android device

[1665] Camera: Used to scan menus

[1666] Cloud server: Used for data analysis and user information management

[1667] AR software: Google ARCore (Android) / Apple ARKit (iOS)

[1668] Program processing flow

[1669] 1. User information registration

[1670] The user launches the app and enters allergy and preference information. This information is stored in a database on the cloud server. For example, a user might enter information such as "peanut allergy" and "chocolate lover."

[1671] 2. Menu scanning and allergen analysis

[1672] Users scan a menu at a restaurant with their smartphone camera. The scanned image data is sent to a cloud server, where image recognition technology is used to extract the text of the menu items, and then an analysis of the allergen ingredients is performed. The analysis results are provided to the user in real time, allowing users to avoid the risk of ordering a menu item containing peanuts.

[1673] 3. Alternative food suggestions

[1674] Based on the analyzed allergen information, the server searches the database for safe alternative foods and suggests them to the user, for example, "sunflower seed butter" instead of peanut butter.

[1675] 4. Providing AR tasting experiences

[1676] After users select a food alternative, the smartphone's AR software activates and provides a virtual tasting experience, allowing users to virtually eat peanut butter while actually eating sunflower seed butter.

[1677] Prompt Sentence Examples

[1678] The following is an example of the prompt that is displayed after the user logs in:

[1679] "Scan your favorite menu with your camera."

[1680] This system will significantly improve safety and satisfaction when eating out for people with food allergies, allowing them to enjoy a variety of meals with peace of mind.

[1681] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1682] Step 1:

[1683] Registering user information

[1684] The user launches the app and enters allergy and preference information. This provides the user's allergy information (e.g., peanut allergy) and preference information (e.g., chocolate lover) as input data. The input data is sent to a cloud server and stored in a database. The server stores and manages this information and uses it for subsequent processing.

[1685] Step 2:

[1686] Scan the menu

[1687] A user scans a menu at a restaurant using their smartphone camera, capturing image data of the menu as input. The device then sends the image data to a cloud server, where it processes the data using image recognition technology to extract the text of the menu items. This text information becomes the input for the next step.

[1688] Step 3:

[1689] Allergen analysis

[1690] The cloud server analyzes the extracted text information (menu items) and identifies allergen ingredients. For example, if the text information "peanut butter sandwich" is received as input, the server identifies whether it contains peanuts. The identified allergen information is the output sent by the server to the user.

[1691] Step 4:

[1692] Alternative food suggestions

[1693] The server searches and suggests safe alternative foods from the database based on the identified allergen information. When allergen information (e.g., peanuts) is received as input, the server searches and selects alternative foods (e.g., sunflower seed butter) and sends the information to the user. This results in the suggested alternative foods being output.

[1694] Step 5:

[1695] Alternative food choices

[1696] The user selects one of the suggested alternative foods. The selected information (e.g., sunflower seed butter) is obtained as input data. The user's selection is sent by the terminal to the server and becomes input for the next process.

[1697] Step 6:

[1698] Providing an AR tasting experience

[1699] The device (smartphone) launches augmented reality (AR) software for the selected food alternative, which provides the selected food information (e.g., sunflower seed butter) as input. The device applies visual and olfactory AR filters, allowing the user to enjoy a virtual eating experience (e.g., "feels like peanut butter"). The virtual eating experience is provided as output.

[1700] In this way, the entire system provides a safe and satisfying dining experience for users.

[1701] 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.

[1702] This invention is a system that allows users with food allergies to enjoy meals safely. It acquires the user's allergy information and preference information, identifies allergens by analyzing the input food information, and suggests safe alternative foods. The system also applies an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods. Furthermore, by combining an emotion engine that recognizes the user's emotions, the system makes suggestions based on the user's emotional state, further enhancing the virtual dining experience.

[1703] Program processing flow

[1704] 1. Obtaining user information

[1705] When a user logs in to the app, the server retrieves the user's allergy and preference information from the database.

[1706] Example: When a user logs into an app, the server verifies that the user has a peanut allergy.

[1707] 2. Acceptance of input food

[1708] The user enters the name of the food they want to eat into the app, for example, "peanut butter."

[1709] Example: User types "I want peanut butter."

[1710] 3. Food information analysis

[1711] The server analyzes the entered food name and identifies the allergens contained in it.

[1712] Example: The server identifies that peanuts in "peanut butter" are an allergen.

[1713] 4. Alternative product suggestions

[1714] Based on the allergen information, the server searches a database for alternative safe foods and suggests them to the user.

[1715] Example: The server suggests "sunflower seed butter" as an alternative to peanut butter.

[1716] 5. Select and confirm replacement products

[1717] The user selects the suggested food replacement.

[1718] Example: User selects "Sunflower Seed Butter."

[1719] 6. Providing AR experiences

[1720] The device activates dedicated AR software, applying filters that enhance visual and olfactory information, creating a virtual dining experience for the user.

[1721] Example: Through the AR device, users can experience the sensation of eating peanut butter while eating sunflower seed butter.

[1722] 7. Emotion recognition

[1723] The device activates an emotion engine to analyze the user's facial and voice data and recognize their current emotional state.

[1724] For example, while the user is interacting with the app, the device recognizes the user's emotions (e.g., happiness, surprise, sadness, etc.).

[1725] 8. Adjusting suggestions based on emotions

[1726] The server receives data from the emotion engine and adjusts the food replacement suggestions according to the user's emotional state.

[1727] For example, if the user is feeling stressed, the server will suggest foods that have a relaxing effect.

[1728] 9. Emotion-based AR experience adjustment

[1729] The device dynamically changes the AR filter effect based on data from the emotion engine.

[1730] For example, if the user is having fun, add a visually pleasing effect. Conversely, if the user is feeling down, change to a calming and relaxing effect.

[1731] Specific examples

[1732] Example 1: Peanut butter

[1733] 1. The user launches the app and logs in.

[1734] 2. The server retrieves the user's allergy information and verifies that the user has a peanut allergy.

[1735] 3. The user types "I want peanut butter" into the input field.

[1736] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[1737] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[1738] 6. The user selects the suggested substitute "Sunflower Seed Butter."

[1739] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[1740] 8. Users actually eat sunflower seed butter, but the virtual experience is that of eating peanut butter.

[1741] 9. The terminal recognizes the user's emotions, and the server suggests and applies effects that have humorous or relaxing effects.

[1742] Example 2: If you want a chocolate cake

[1743] 1. The user launches the app and logs in.

[1744] 2. The server retrieves the user's allergy information and verifies that the user has a nut allergy.

[1745] 3. The user types "I want chocolate cake" into the input field.

[1746] 4. The server analyzes and identifies the nut ingredients in the "chocolate cake" as an allergen.

[1747] 5. The server suggests a nut-free chocolate cake as an alternative and sends that information to the device.

[1748] 6. The user selects the suggested nut-free chocolate cake.

[1749] 7. The device will then activate its AR software and apply a visual and olfactory filter of a chocolate cake with nuts.

[1750] 8. The user actually eats a nut-free chocolate cake, but virtually experiences it as if they were eating a chocolate cake with nuts.

[1751] 9. The device recognizes the user's emotions, and the server suggests and applies visually soothing effects according to the emotions.

[1752] The above is an embodiment of the present invention, which enables users with food allergies to enjoy a safe and satisfying dining experience. By combining it with an emotion engine, the user's psychological satisfaction can be further improved.

[1753] The processing flow will be explained below.

[1754] Step 1:

[1755] The user launches the app and logs in.

[1756] The user launches the app and enters their login information to log in to the system.

[1757] The terminal sends the login information to the server to authenticate the user's account.

[1758] Step 2:

[1759] The server obtains the user's allergy information and preference information from a database.

[1760] The server queries and retrieves the authenticated user's allergy information (e.g., peanut allergy) and preference information from a database.

[1761] The server transmits this information to the terminal.

[1762] Step 3:

[1763] The user enters the name of the food they want to eat into the app.

[1764] The user enters the name of the food they want to eat (e.g., "peanut butter") into the app's input field.

[1765] The terminal transmits the entered food name to the server.

[1766] Step 4:

[1767] The server analyzes the entered food information and identifies the allergens contained in it.

[1768] The server analyzes the food name (e.g., "peanut butter") and detects the ingredients it contains.

[1769] The server checks the allergen database to identify the allergens contained in the food (e.g., peanuts).

[1770] Step 5:

[1771] The server searches a database for alternative safe foods based on the identified allergen information.

[1772] The server searches a database for alternative foods that do not contain the identified allergen (e.g., peanuts).

[1773] The server generates a list of alternative foods (e.g., sunflower seed butter).

[1774] Step 6:

[1775] The server sends information about alternative foods to the terminal and suggests them to the user.

[1776] The server transmits the generated list of substitute foods to the terminal.

[1777] The terminal displays information about alternative foods to the user.

[1778] Step 7:

[1779] The user selects the suggested food replacement.

[1780] The user selects the desired substitution (e.g., sunflower seed butter) from a list of suggested substitutions.

[1781] The terminal transmits the selected information to the server.

[1782] Step 8:

[1783] The server verifies the selected food substitute and transmits the selection to the terminal.

[1784] The server confirms the user's selection (e.g., sunflower seed butter) and sends details of the selected alternative food to the terminal.

[1785] Step 9:

[1786] The device activates dedicated AR software and applies filters that correct visual and olfactory information.

[1787] The device launches the AR software and activates the peanut butter visual and olfactory filters.

[1788] The terminal displays the package information for the selected alternative food (e.g., sunflower seed butter).

[1789] Step 10:

[1790] The terminal activates an emotion engine to recognize the user's emotional state.

[1791] The device analyzes the user's facial expressions and voice data to detect their current emotional state (e.g., joy, surprise, sadness, etc.).

[1792] Step 11:

[1793] The server receives data from the emotion engine and adjusts the alternative food suggestions based on the user's emotional state.

[1794] Based on the emotional data obtained from the emotion engine, the server reevaluates the list of alternative foods taking into account the user's emotional state and makes optimal suggestions.

[1795] Step 12:

[1796] The device dynamically changes the AR filter effect based on data from the emotion engine.

[1797] The device dynamically adjusts visual and olfactory effects according to the user's emotional state, for example adding visually pleasing effects when the user is having fun, or providing calming and relaxing effects when the user is feeling more relaxed.

[1798] Step 13:

[1799] When users eat the substitute food, AR effects are used to provide a virtual eating experience.

[1800] While users actually eat the sunflower seed butter, the device's AR functionality allows them to virtually experience the sensation of eating peanut butter. The emotional engine adds effects to further enhance the virtual eating experience.

[1801] The above are the specific processing steps of the present invention.

[1802] Example 2

[1803] 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."

[1804] Currently, it is difficult for users with food allergies to enjoy a safe and satisfying dining experience. Conventional systems are insufficient in identifying allergens and suggesting alternative foods, preventing users from enjoying meals with peace of mind. Furthermore, there is no system that can not only provide food information but also make suggestions based on the user's emotional state, so improving users' psychological satisfaction is a challenge.

[1805] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for acquiring the user's allergy information and preference information, means for analyzing food information entered by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested alternative foods, and means for recognizing the user's emotions during the virtual dining experience and adjusting the suggestions based on the emotions. This enables users with food allergies to enjoy a safe and satisfying dining experience, and further improves their psychological satisfaction by adjusting the suggestions based on the emotions.

[1806] "User allergy information" is information about the possibility that the user may have an allergic reaction to a particular food ingredient.

[1807] "Preference information" is information about the foods and ingredients that the user likes.

[1808] "Food information" refers to the name of a specific food that the user has input as something they would like to eat, as well as related information.

[1809] "Allergen" refers to a component that causes an allergic reaction in a user.

[1810] "Alternative safe foods" are foods that do not contain the specific allergen and are safe for the user to consume.

[1811] A "virtual dining experience" uses augmented reality technology to give users the experience of eating a desired meal, even though they are actually eating different foods.

[1812] "Augmented reality (AR) filters" are a technology that adds virtual effects to the user's sense of sight and smell, virtually enhancing the dining experience.

[1813] "Emotion recognition" is a technology that analyzes data such as a user's facial expressions and voice to determine the user's current emotional state.

[1814] "Adjusting suggestions" refers to appropriately modifying and optimizing the content of alternative foods and virtual dining experiences based on the user's emotional state.

[1815] A "database" is a repository of information that systematically stores user information and data on foods, allergens, alternative foods, etc., and can be searched and referenced as needed.

[1816] The present invention provides a system that allows users with food allergies to enjoy meals safely. An embodiment of this system will be described in detail below.

[1817] System configuration

[1818] This system mainly consists of three elements: a server, a terminal, and a user. The server manages the user's allergy and preference information, analyzes food information, and suggests alternative foods. The terminal accepts input from the user, communicates with the server, and is a device that runs an augmented reality (AR) filter and an emotion recognition engine. Through this system, users can enjoy a safe dining experience.

[1819] Hardware and Software

[1820] The server includes the following components for data processing:

[1821] Database management system: Stores user allergy information, preference information, and food information (e.g., MySQL).

[1822] Analysis engine: Analyzes the food information entered by the user and identifies allergens (e.g., NLP engine).

[1823] Substitution suggestion engine: Searches for and suggests safe alternative foods based on allergen information (e.g., Recommendation Engine).

[1824] The terminal includes the following software components:

[1825] AR software: Providing visual and olfactory filters to help users enjoy a virtual dining experience (e.g., ARKit, ARCore).

[1826] Emotion recognition engine: Analyzes the user's facial and voice data to recognize emotions in real time (e.g., Emotion AI).

[1827] Specific examples

[1828] Example 1: Peanut butter

[1829] 1. The user launches the app and logs in.

[1830] 2. The server retrieves the user's allergy information from the database and confirms that the user has a peanut allergy.

[1831] 3. The user types "I want peanut butter" into the app.

[1832] 4. The server analyzes and identifies the peanuts in "peanut butter" as an allergen.

[1833] 5. The server suggests "Sunflower Seed Butter" as an alternative and sends that information to the terminal.

[1834] 6. The user selects the suggested alternative, “Sunflower Seed Butter,” and begins the AR experience.

[1835] 7. The device will then activate its AR software and apply a peanut butter visual and olfactory filter.

[1836] 8. Users actually eat sunflower seed butter and virtually experience the sensation of eating peanut butter.

[1837] 9. The device recognizes the user's emotions and sends the user's emotion data to the server.

[1838] 10. The server adjusts the AR effects based on the user's emotions to improve satisfaction.

[1839] Example 2: If you want a chocolate cake

[1840] 1. The user launches the app and logs in.

[1841] 2. The server retrieves the user's nut allergy information from the database.

[1842] 3. The user types, "I want chocolate cake."

[1843] 4. The server analyzes and identifies the nut ingredients in the "chocolate cake" as an allergen.

[1844] 5. The server suggests a nut-free chocolate cake as an alternative and sends that information to the device.

[1845] 6. The user selects the suggested nut-free chocolate cake.

[1846] 7. The device will then activate its AR software and apply a visual and olfactory filter of a chocolate cake with nuts.

[1847] 8. The user actually eats a nut-free chocolate cake, but virtually experiences the experience of eating a chocolate cake with nuts.

[1848] 9. The device recognizes the user's emotions and sends the user's emotion data to the server.

[1849] 10. The server adjusts the AR effects based on the user's emotions to improve satisfaction.

[1850] In this way, the system of the present invention provides a virtual dining experience while ensuring the safety of the user, and by recognizing the user's emotions and making suggestions or adjustments based on those emotions, it enables a more satisfying experience.

[1851] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1852] Step 1:

[1853] When a user logs in to the app, the server receives the user's ID and password and performs an authentication process. If authentication is successful, the server retrieves the user's allergy and preference information from the database. The input is the user ID and password, and the output is the allergy and preference information. The server proceeds to the next processing step based on this.

[1854] Step 2:

[1855] The user enters the name of the food they want to eat into the app's input field. The device receives this input and sends it to the server. The input is the food name, and the output is sending the food name to the server. In concrete terms, the user enters "I want to eat peanut butter."

[1856] Step 3:

[1857] The server receives the food name sent from the terminal and references the food database to obtain information about the ingredients contained in that food. It then performs an analysis to identify allergens. The input is the food name and the output is allergen information. Specifically, the server identifies the peanuts contained in "peanut butter" as an allergen.

[1858] Step 4:

[1859] The server searches a database for safe alternative foods based on allergen information and generates a list of alternatives. The input is allergen information, and the output is a list of alternative foods. Specifically, the server suggests "sunflower seed butter" instead of "peanut butter."

[1860] Step 5:

[1861] The server sends the list of substitute foods to the terminal. The terminal displays the suggested substitute foods to the user. The input is the list of substitute foods, and the output is the display of the substitute foods to the user. In concrete terms, the terminal suggests "sunflower seed butter" to the user.

[1862] Step 6:

[1863] The user selects one of the suggested alternative foods. The device sends this selection information to the server. The input is the user's selection, and the output is the transmission of the selection information to the server. In a specific example, the user selects "Sunflower Seed Butter."

[1864] Step 7:

[1865] The device activates the AR software and applies visual and olfactory filters corresponding to the selected food alternative. The input is the user's selection and food alternative information, and the output is a virtual eating experience. Specifically, the device applies a sunflower seed butter filter, providing the user with the visual and olfactory sensation of peanut butter.

[1866] Step 8:

[1867] The device activates an emotion recognition engine, analyzes the user's face and voice data, and recognizes their current emotional state. The input is the user's face and voice data, and the output is emotion data. Specifically, the device analyzes the user's smile and tone of voice and recognizes it as "joy."

[1868] Step 9:

[1869] The server receives the emotional data and adjusts the suggestions and AR effects based on the user's emotional state. The input is the emotional data, and the output is the adjusted suggestions and AR effects. Specifically, the server detects the user's joy and adds visually pleasing effects.

[1870] (Application example 2)

[1871] 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."

[1872] Conventional systems for users with food allergies only collect the user's allergy information and suggest safe foods. As a result, the user's dining experience is limited, making it difficult to alleviate the psychological stress of having allergies and improve dining satisfaction. Furthermore, because the system does not adjust the dining suggestions or experience to take the user's emotional state into consideration, it is not possible to improve the user's overall satisfaction.

[1873] 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.

[1874] In this invention, the server includes means for acquiring allergy information and preference information of a user, means for analyzing food information input by the user and identifying allergens contained in the food, means for suggesting safe alternative foods based on the identified allergen information, means for applying an augmented reality filter to provide a virtual dining experience using the suggested alternative foods, means for activating an emotion engine that recognizes the user's emotional state, and means for utilizing data from the emotion engine to make suggestions according to the user's emotional state, thereby making it possible to not only provide a safe dining experience for the user but also enrich the dining experience by taking the emotional state into consideration and increase overall satisfaction.

[1875] "User allergy information" refers to information about the specific food ingredients or substances to which an individual user has a reaction.

[1876] "Preference information" is information about the user's personal preferences regarding ingredients and dishes that they like.

[1877] "Food information" is information about specific dishes or ingredients that a user has entered or searched for.

[1878] An "allergen" is a substance or ingredient that primarily causes an allergic reaction.

[1879] "Alternative safe foods" are foods that do not contain the specific allergen and are safe for the user to consume.

[1880] "Augmented reality filters" are technologies used to provide virtual visual and olfactory information.

[1881] An "emotion engine" is a technology that analyzes a user's facial and voice data to recognize their emotional state.

[1882] A "database" is a collection of structured information, and in this case it stores user information and food data.

[1883] This invention is a system that allows users with food allergies to enjoy meals safely. It acquires the user's allergy information and preference information, identifies allergens by analyzing the input food information, and suggests safe alternative foods. Furthermore, the system applies an augmented reality filter to provide a virtual dining experience using the suggested alternative foods on a device, and further utilizes an emotion engine to make suggestions according to the user's emotional state.

[1884] Hardware and software used

[1885] Hardware:

[1886] Smartphone: iPhone or Android device

[1887] Camera: Front camera for emotion recognition

[1888] software:

[1889] Server side: Node.js, Express, MongoDB

[1890] Client Side: React Native

[1891] Emotion recognition engine: Microsoft Azure Emotion API

[1892] AR software: ARKit (iOS) or ARCore (Android)

[1893] Program Overview

[1894] First, when a user logs in to the application, the server retrieves the user's allergy and preference information from a database. Next, when the user enters the name of a food they want to eat into the app, the server analyzes the entered food name and identifies the allergens contained in it. It then suggests safe alternative foods based on the identified allergen information.

[1895] Once the user selects a suggested food replacement, the device activates AR software, applying visual and olfactory filters to provide a virtual dining experience. Furthermore, the device's emotion engine analyzes the user's facial and voice data to tailor the dining experience based on the user's emotional state.

[1896] Specific examples

[1897] For example, if a user types "I want to eat peanut butter," the server determines that the user has a peanut allergy and analyzes and identifies the peanuts in peanut butter as an allergen. The server then suggests "sunflower seed butter" as an alternative food and sends that information to the device. If the user selects "sunflower seed butter," the device activates the AR software and applies the visual and olfactory filters of peanut butter to provide a virtual eating experience. In addition, the device uses an emotion engine to analyze the user's emotions and adjust feedback based on those emotions.

[1898] Prompt Sentence Examples

[1899] Prompts for input to generative AI models:

[1900] "The user inputs that they want to eat peanut butter. The user has a peanut allergy. What should the app suggest as an alternative to peanut butter?"

[1901] answer:

[1902] "The app suggests sunflower seed butter as an alternative to peanut butter."

[1903] This embodiment of the present invention allows users to enjoy a satisfying dining experience while being safe for their allergies. Furthermore, by utilizing the emotion engine, it is possible to provide detailed support according to the user's emotional state, thereby improving the user's psychological and sensory satisfaction.

[1904] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1905] Step 1:

[1906] When a user logs into the application, the server retrieves the user information from the database.

[1907] Input: User ID

[1908] Output: Allergy and preference information

[1909] The server retrieves the relevant allergy and preference information from MongoDB based on the user ID, which serves as the basis for future processing to help the user enjoy a safe meal.

[1910] Step 2:

[1911] The user enters the name of the food they want to eat into the app.

[1912] Input: Food name (e.g. "peanut butter")

[1913] Output: Food name

[1914] The user inputs the name of the food they want to eat into the input screen of the smartphone app, and this information is sent to the server.

[1915] Step 3:

[1916] The server analyzes the entered food name and identifies the allergens contained in that food.

[1917] Input: Food name (e.g. "peanut butter"), allergy information

[1918] Output: Allergen information

[1919] The server retrieves the ingredient information of the relevant food from a food database and identifies the allergen by comparing it with the user's allergy information.

[1920] Step 4:

[1921] The server searches a database for and suggests alternative safe foods based on the identified allergen information.

[1922] Input: Allergen information, preference information

[1923] Output: Food substitute (e.g. "Sunflower Seed Butter")

[1924] The server searches a database for alternative foods that do not contain allergens and match the user's preferences, and sends this information to the terminal.

[1925] Step 5:

[1926] The user selects the suggested food replacement.

[1927] Input: List of alternative foods

[1928] Output: Selected food alternatives

[1929] Users can select safe and preferred foods from a list of alternative foods displayed on the device.

[1930] Step 6:

[1931] The device activates AR software and applies visual and olfactory filters to provide a virtual dining experience.

[1932] Input: Selected substitute food, allergen information, preference information

[1933] Output: Augmented reality filter (visual and olfactory feedback)

[1934] The device uses ARKit or ARCore to generate a virtual visual and olfactory experience for the user's actual food substitutes.

[1935] Step 7:

[1936] The device's emotion engine analyzes the user's facial and voice data to recognize their current emotional state.

[1937] Input: User's face image and voice data

[1938] Output: Emotional state data (e.g., "happiness," "surprise")

[1939] The device sends facial images captured by the front camera and audio data captured by the microphone to Microsoft Azure's Emotion API for emotional analysis.

[1940] Step 8:

[1941] The server uses the data from the emotion engine to provide feedback according to the user's emotional state.

[1942] Input: Emotional state data, selected food alternatives

[1943] Output: Modulated feedback (visual and olfactory effects)

[1944] The server receives the user's emotional state data, adjusts the AR feedback to match the emotion, and sends it to the device.

[1945] Step 9:

[1946] The device dynamically applies AR filters based on emotions to optimize the user's dining experience.

[1947] Input: Calibrated feedback

[1948] Output: Improved dining experience

[1949] The device dynamically updates AR filters and applies visual and olfactory effects according to the user's emotional state to optimize the user's dining experience.

[1950] 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.

[1951] 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.

[1952] 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.

[1953] 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.

[1954] 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.

[1955] 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.

[1956] 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).

[1957] 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.

[1958] 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."

[1959] 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.

[1960] 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).

[1961] 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.

[1962] 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.

[1963] 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.

[1964] 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.

[1965] 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.

[1966] 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.

[1967] 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.

[1968] 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.

[1969] 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.

[1970] 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.

[1971] The following is further disclosed regarding the above embodiment.

[1972] (Claim 1)

[1973] A means for acquiring allergy information and preference information of a user;

[1974] A means for analyzing food information input by a user and identifying allergens contained in the food;

[1975] a means for suggesting alternative safe foods based on the identified allergen information;

[1976] means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested food substitutes;

[1977] A system including:

[1978] (Claim 2)

[1979] 10. The system of claim 1, further comprising means for correcting visual and olfactory information to provide a virtual dining experience.

[1980] (Claim 3)

[1981] 2. The system of claim 1, wherein the suggestions of alternative foods are based on a database.

[1982] "Example 1"

[1983] (Claim 1)

[1984] A means for acquiring allergy information and preference information of a user;

[1985] A means for analyzing food information input by a user and identifying allergens contained in the food;

[1986] a means for suggesting alternative safe foods based on the identified allergen information;

[1987] means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested food substitutes;

[1988] means for displaying and confirming the user's selection of the food replacement;

[1989] A system including:

[1990] (Claim 2)

[1991] 10. The system of claim 1, further comprising means for correcting visual and olfactory information to provide a virtual dining experience.

[1992] (Claim 3)

[1993] 2. The system of claim 1, wherein the suggestions of alternative foods are based on a database.

[1994] (Claim 4)

[1995] 10. The system of claim 1, further comprising means for using a natural language processing engine to analyze the food information.

[1996] (Claim 5)

[1997] 10. The system of claim 1, further comprising means for applying visual and olfactory filters associated with the selected alternative food for the virtual reality experience.

[1998] (Claim 6)

[1999] 10. The system of claim 1, further comprising means for providing suggested food substitution information to a user in real time.

[2000] "Application Example 1"

[2001] (Claim 1)

[2002] A means for acquiring allergy information and preference information of a user;

[2003] A means for analyzing food information input by a user and identifying allergens contained in the food;

[2004] a means for suggesting alternative safe foods based on the identified allergen information;

[2005] means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested food substitutes;

[2006] A method to scan restaurant menus and analyze allergen information in real time,

[2007] A system including:

[2008] (Claim 2)

[2009] 10. The system of claim 1, further comprising means for correcting visual and olfactory information to provide a virtual dining experience.

[2010] (Claim 3)

[2011] 2. The system of claim 1, wherein the suggestions of alternative foods are based on a database.

[2012] "Example 2: Combining Emotion Engines"

[2013] (Claim 1)

[2014] A means for acquiring allergy information and preference information of a user;

[2015] A means for analyzing food information input by a user and identifying allergens contained in the food;

[2016] a means for suggesting alternative safe foods based on the identified allergen information;

[2017] means for applying an augmented reality (AR) filter to provide a virtual dining experience using the suggested food substitutes;

[2018] means for recognizing a user's emotions during the virtual dining experience and tailoring suggestions based on the emotions;

[2019] A system including:

[2020] (Claim 2)

[2021] 10. The system of claim 1, further comprising means for correcting visual and olfactory information to provide a virtual dining experience.

[2022] (Claim 3)

[2023] 2. The system of claim 1, wherein the suggestions of alternative foods are based on a database.

[2024] "Application example 2 when combining emotion engines"

[2025] (Claim 1)

[2026] A means for acquiring allergy information and preference information of a user;

[2027] A means for analyzing food information input by a user and identifying allergens contained in the food;

[2028] a means for suggesting alternative safe foods based on the identified allergen information;

[2029] means for applying an augmented reality filter to provide a virtual dining experience using the suggested food substitutes;

[2030] means for activating an emotion engine that recognizes the user's emotional state;

[2031] means for utilizing data from the emotion engine to make suggestions according to the user's emotional state;

[2032] A system including:

[2033] (Claim 2)

[2034] 10. The system of claim 1, further comprising means for correcting visual and olfactory information to provide a virtual dining experience.

[2035] (Claim 3)

[2036] 2. The system of claim 1, wherein the suggestions of alternative foods are based on a database. [Explanation of symbols]

[2037] 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 for acquiring allergy information and preference information of a user; A means for analyzing food information input by a user and identifying allergens contained in the food; a means for suggesting alternative safe foods based on the identified allergen information; means for applying an augmented reality filter to provide a virtual dining experience using the suggested food substitutes; A system including:

2. 10. The system of claim 1, further comprising means for correcting visual and olfactory information to provide a virtual dining experience.

3. 2. The system of claim 1, wherein the suggestions for alternative foods are based on a database.

Images