System

Abstract

A system is provided.SOLUTION: The system includes a means for providing a user with custom advice and resources generated on the basis of the information, a means for tracking the progress of the user and providing total support on the basis of an analysis result, a means for providing an environment in which the user can anonymously consult a skin condition and a mental condition, and a means for performing mutual support using a community function with other users having the same trouble.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In modern society, many people are concerned about their skin condition and mental health, but there is a lack of effective means to provide comprehensive support. In particular, there is no system that adequately addresses the impact of psychological stress on the skin, and vice versa. There is also a need for an environment where users can seek advice anonymously and with peace of mind. Furthermore, forming communities with other users who share the same concerns is expected to provide mutual support, but there are few systems that effectively provide such functions. There is a need to solve these issues and provide more comprehensive support. [Means for solving the problem]

[0005] The present invention provides a system that provides comprehensive support for users' concerns about their skin condition and mental health. Specifically, the system includes the following means:

[0006] 1. A means of collecting skin condition and mental health data from users and analyzing it using AI technology.

[0007] 2. A means to provide custom advice and resources based on analysis results.

[0008] 3. A way to track user progress and provide ongoing support.

[0009] 4. A means to provide an environment where users can anonymously and safely discuss skin and mental health conditions.

[0010] 5. A means of mutual support using the community feature with other users who have the same concerns.

[0011] This allows users to consult anonymously and with peace of mind, while also receiving comprehensive support.

[0012] "Custom Advice" is specific advice or recommendations generated based on a user's individual data.

[0013] "User" means any individual using the System.

[0014] "Tracking" is the act of continuously tracking user data and recording fluctuations and progress.

[0015] "Anonymity" refers to protecting the user's personal information and using the service without revealing their identity.

[0016] An "environment" is an operational space that includes all the functions and interfaces provided by the system.

[0017] The "community function" is a function within the system that allows users with the same concerns or interests to support each other.

[0018] "AI technology" is a technology that uses artificial intelligence to analyze data and make predictions.

[0019] "Skin condition" refers to information about the user's skin, such as dry, oily, sensitive, etc.

[0020] "Mental health" refers to a user's psychological and emotional well-being.

[0021] "Data analysis" refers to extracting meaningful information from collected data and analyzing trends and correlations.

[0022] "Progress" refers to how a user's status or efforts change over time. [Brief explanation of the drawings]

[0023] [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

[0024] 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.

[0025] First, the terms used in the following description will be explained.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] 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.

[0030] 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."

[0031] [First embodiment]

[0032] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0033] 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.

[0034] 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).

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0040] 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.

[0041] 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.

[0042] 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.

[0043] 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."

[0044] The present invention is a system that comprehensively supports a user's skin condition and mental health, and is provided in the following specific manner.

[0045] System configuration

[0046] 1. User Registration

[0047] A user installs the MindView application and creates an anonymous account. At this time, the user enters a username and password for anonymous use, which are collected by the device and sent to the server. The server generates a user ID based on this information and stores it in a database.

[0048] 2. Enter basic information

[0049] Through the application, users input basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.). The device collects this information and sends it to the server, which stores it in a database and creates an initial data set.

[0050] 3. Data analysis and custom advice

[0051] The AI ​​engine built into the server periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Based on the analysis results, it generates customized advice for each user. This includes specific suggestions such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The device notifies and displays this advice to the user.

[0052] Explanation with concrete examples

[0053] Scenario: A user asks for advice about "dry skin" and "stress."

[0054] 1. A user accesses MindView and registers anonymously as "User123." The server generates a user ID and stores basic information.

[0055] 2. The user enters information such as "dry skin" and "high stress." The device collects this information and sends it to the server.

[0056] 3. The server's AI engine performs the analysis and comes to a conclusion, such as "stress may be causing dry skin."

[0057] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques to manage stress." The device displays this custom advice.

[0058] Tracking and ongoing support

[0059] As users regularly use the app and input their latest skin condition and emotional changes, the device sends the new data to the server, which then uses AI to re-analyze the data and track progress, ensuring users receive continuous, up-to-date support.

[0060] Community Features

[0061] Users access the Community tab and select the group they are interested in. The device sends the selection to the server, adding the user to the corresponding community. Here, they can share messages and experiences with other users, providing mutual support.

[0062] Gathering feedback and improving the system

[0063] Users provide feedback after using the app. The device sends this feedback to the server, which analyzes it and uses it to improve the system, ensuring a continuously improving user experience.

[0064] The processing flow will be explained below.

[0065] Step 1:

[0066] A user installs the MindView application and accesses the new registration screen.

[0067] Step 2:

[0068] The user enters a username and password for anonymous use.

[0069] Step 3:

[0070] The terminal receives the entered username and password and sends them to the server.

[0071] Step 4:

[0072] The server stores the username and password in a database and generates a user ID.

[0073] Step 5:

[0074] The server returns the generated user ID to the device, and the user's account is created.

[0075] Step 6:

[0076] The user logs in and enters basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.).

[0077] Step 7:

[0078] The device sends the collected basic information to the server.

[0079] Step 8:

[0080] The server stores the received information in a database to create an initial data set.

[0081] Step 9:

[0082] The server's AI engine retrieves the latest user information from the database.

[0083] Step 10:

[0084] The server analyzes the relationship between skin condition and mental health and generates the analysis results.

[0085] Step 11:

[0086] The server generates custom advice for each user based on the analysis results.

[0087] Step 12:

[0088] The server generates custom advice and sends it to the device.

[0089] Step 13:

[0090] The device receives the custom advice and notifies the user.

[0091] Step 14:

[0092] Users access the app periodically to enter their latest skin condition and emotional changes.

[0093] Step 15:

[0094] The terminal collects the updated information and sends it to the server.

[0095] Step 16:

[0096] The server's AI engine reanalyzes the data, including the new data, and tracks progress.

[0097] Step 17:

[0098] The server generates new custom advice based on the progress and analysis results.

[0099] Step 18:

[0100] The server sends the new custom advice to the device.

[0101] Step 19:

[0102] The device will receive new custom advice and notify the user.

[0103] Step 20:

[0104] A user visits the Community tab and selects a group of topics that interest them.

[0105] Step 21:

[0106] The device sends the user's selection to the server.

[0107] Step 22:

[0108] The server adds users to communities of interest and connects them with other users.

[0109] Step 23:

[0110] Users can exchange messages with other users in the community and share information and experiences.

[0111] Step 24:

[0112] Users provide feedback after using the application.

[0113] Step 25:

[0114] The device sends the feedback to the server.

[0115] Step 26:

[0116] The server analyzes the feedback and uses it to improve the system.

[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] Conventional support systems for skin conditions and mental health require individualized responses, such as face-to-face counseling, and lack anonymity and ease of use. Furthermore, many systems only provide one-time advice based on user input, making ongoing follow-up difficult. Furthermore, there is often a lack of communication between users, and no environment for mutual support is provided.

[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 a user to anonymously create an account and input basic information; means for a terminal to collect the user's input information and send it to the server; means for the server to store the received information in a database and generate a user ID; means for analyzing the collected data using an AI engine and generating custom advice; means for the terminal to notify and display the custom advice to the user; means for tracking the user's progress and periodically reanalyzing the data; means for users to access communities of interest and provide an environment for mutual support; and means for collecting and analyzing feedback from users to help improve the system. This allows users to easily seek advice anonymously and receive ongoing support and advice, ensuring optimal care at all times, while also enabling them to obtain further support through interactions with other users.

[0122] "User" refers to an individual who uses the system, creates an account anonymously, and provides information about their skin condition and mental health.

[0123] A "terminal" refers to a device used by a user, and is a device that collects input information from a smartphone, tablet, etc. and sends it to a server.

[0124] The "server" is a central computer that manages and operates the entire system, receives information sent by users, stores it in a database, and analyzes and generates advice.

[0125] "Database" refers to an electronic storage device for storing user information and analysis results, and is managed by a server.

[0126] An "AI engine" is a program that uses artificial intelligence technology to analyze data collected from users and generate custom advice.

[0127] "Custom advice" refers to specific suggestions and recommendations provided to individual users based on the results of analysis by the AI ​​engine.

[0128] "Tracking" refers to the process of continuously collecting, analyzing, and recording a user's progress and latest data.

[0129] A "community" is an online group where multiple users with the same concerns or interests can join to support each other and share information.

[0130] "Feedback" refers to information provided by users after using the system regarding their experience and areas for improvement, which can be used to improve the system.

[0131] The present invention is a system that comprehensively supports the user's skin condition and mental health. The configuration and operation of the system are described below, along with the specific names of the hardware and software used.

[0132] System configuration

[0133] 1. User Registration

[0134] Users must install the MindView application on their smartphones, tablets, or other devices and create an anonymous account. When creating an account, users enter a username and password for anonymous use, and the device collects this information and sends it to the server. The server then generates a user ID based on the information and stores it in a database.

[0135] 2. Enter basic information

[0136] Through the application, users input basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.). The device collects this information and sends it to the server, which stores it in a database and creates an initial data set.

[0137] 3. Data analysis and custom advice

[0138] The server's built-in AI engine (e.g., TENSORFLOW (registered trademark), PyTorch) periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Based on the analysis results, it generates personalized, custom advice. The advice includes specific suggestions such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The device notifies and displays this custom advice to the user.

[0139] 4. Tracking and ongoing support

[0140] Each time a user uses the app regularly and inputs their latest skin condition and emotional changes, the device sends the new data to the server, which then re-analyzes this data using an AI engine to track the user's progress, ensuring that the user receives continuous, up-to-date support.

[0141] 5. Community Features

[0142] A user accesses the community tab and selects a group they are interested in. The device sends the selected group information to the server, which then adds the user to the corresponding community. This provides an environment where users can share messages and experiences with other users and support each other.

[0143] 6. Gathering feedback and improving the system

[0144] Users provide feedback after using the app. The device collects this feedback and sends it to the server. The server analyzes the feedback and uses it to improve the system, ensuring a continuously improving user experience.

[0145] Explanation with concrete examples

[0146] For example, consider the case where a user asks for advice about "dry skin" and "stress."

[0147] 1. A user installs the MindView app and registers anonymously as "User123." The server generates a user ID and stores basic information.

[0148] 2. The user enters the information that they have "dry skin" and "high stress," and the device collects this information and sends it to the server.

[0149] 3. The server's AI engine analyzes the data and concludes that "stress may be causing dry skin."

[0150] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques for stress management." The device displays this custom advice.

[0151] Prompt Sentence Examples

[0152] Below are some examples of prompts used in generative AI models:

[0153] "Please give me some advice on how stress affects dry skin."

[0154] "How can I balance acne prevention with my mental health?"

[0155] "Please suggest some effective relaxation techniques for stress management."

[0156] As described above, the present invention collects data on the user's skin condition and mental health, analyzes it using an AI engine, and provides individually customized advice, thereby continuously providing optimal support to the user.

[0157] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0158] Step 1: User Registration

[0159] A user installs an application on a device such as a smartphone or tablet and creates an account. Specifically, the user enters a username and password, and the device collects this information and sends it to the server. The server generates a user ID based on the received username and password and stores it in a database. The input here is the username and password, and the output is the generated user ID.

[0160] Step 2: Enter basic information

[0161] Through the application, users input basic information about their skin condition and mental health, including skin dryness, acne, stress level, and sleep duration. The device collects this information and sends it to a server. The server stores the received information in a database and creates an initial dataset. The input here is skin condition and mental health information, and the output is the initial dataset.

[0162] Step 3: Analyze data and generate custom advice

[0163] The server's AI engine retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Specifically, it analyzes the collected data using statistical and machine learning algorithms to generate custom advice for each user. For example, specific advice might include "using a specific moisturizing cream for dry skin" or "trying yoga to reduce stress." The input here is the latest user information, and the output is custom advice.

[0164] Step 4: Notification of custom advice

[0165] The terminal notifies the user of the custom advice received from the server and displays it. The user receives the notification and confirms the advice. The input here is the custom advice from the server, and the output is the advice displayed to the user.

[0166] Step 5: Tracking and ongoing support

[0167] Users regularly use the app to input their latest skin condition and emotional changes. The device collects this new information and sends it to the server. The server then uses an AI engine to reanalyze the new data and track progress. This allows users to receive optimal support on an ongoing basis. The input here is the user's new information, and the output is tracked progress.

[0168] Step 6: Community Features

[0169] A user accesses the community tab and selects a group of interest. The device sends the user's selection to the server. The server adds the user to the corresponding community, providing an environment where users can share messages and experiences and support each other. The input here is the user's group selection, and the output is the added community.

[0170] Step 7: Gather feedback and improve the system

[0171] Users provide feedback after using the app. The device collects this feedback and sends it to the server. The server analyzes the feedback and uses it to improve the system, thereby continuously improving the user experience. The input here is user feedback, and the output is an improved system.

[0172] (Application example 1)

[0173] 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."

[0174] Many people today are concerned about skin problems and mental health, and there is a need for a comprehensive support system to improve these conditions. However, current systems lack an environment where users can seek advice anonymously, a community where users can share support with other users who have the same concerns, or a mechanism for sharing information with medical staff to provide specific advice. In particular, there is no system specialized in providing support for medical treatment at beauty clinics, which poses a challenge for users, as they are unable to receive sufficient support.

[0175] 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.

[0176] In this invention, the server includes: means for providing users with custom advice and resources generated based on the information; means for tracking the user's progress and providing total support based on the analysis results; means for providing an environment where the user can anonymously consult about their skin condition or mental state; means for providing mutual support using a community function with other users who have the same concerns; means for applying the information to medical support at a beauty clinic and sharing the information with medical staff; and means for analyzing the information using AI technology during treatment at the beauty clinic and providing specific advice to medical staff. This enables users to anonymously consult about their skin condition or mental health and receive specific advice from medical staff.

[0177] "Information" refers to data collected from users about their skin condition and mental health status.

[0178] "Custom Advice" is specific advice generated based on the analysis of a user's individual skin condition and mental health.

[0179] "Resources" are information about products and services to improve a user's skin condition or mental health.

[0180] "Progress" is data about changes in skin condition and mental health reported by users.

[0181] "Total Support" is a series of suggestions and guides to comprehensively support users' skin condition and mental health.

[0182] "Anonymous" means that users can report their skin condition or mental health status without being identified.

[0183] The "community function" allows users with the same concerns to share information and experiences and provide mutual support.

[0184] A "beauty clinic" is a medical institution that provides consultations and treatments related to users' skin conditions and beauty.

[0185] "Clinical support" refers to providing support to medical staff to enable them to provide medical care more effectively and efficiently.

[0186] "AI technology" refers to artificial intelligence technology used to analyze a user's skin condition and mental health data and generate custom advice.

[0187] "Medical staff" are professionals who provide medical treatment and counseling to users at medical institutions such as beauty clinics.

[0188] This invention is a system that supports beauty clinics by providing comprehensive support for users' skin condition and mental health. Users anonymously input their skin condition and mental health status, which is then analyzed using AI technology and customized advice is provided.

[0189] System configuration

[0190] 1. User Registration

[0191] The user installs the "Support App" and creates an anonymous account. At this time, the user enters a username and password for anonymous use, which the device collects and sends to the server. The server generates a user ID based on this information and stores it in a database.

[0192] 2. Enter basic information

[0193] Through the application, users input basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.). The device collects this information and sends it to the server, which stores it in a database and creates an initial data set.

[0194] 3. Data analysis and custom advice

[0195] The AI ​​engine built into the server periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Based on the analysis results, it generates customized advice for each user. This includes specific suggestions such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The device notifies the user of this advice and displays it to them.

[0196] 4. Medical support at beauty clinics

[0197] When users visit a beauty clinic for a consultation, they use the app to share information about their skin condition and mental health with medical staff. The server then sends the information to a device at the beauty clinic, and medical staff use that information to conduct their consultation. The server's AI technology analyzes the information and provides specific medical advice.

[0198] Explanation with concrete examples

[0199] Scenario: A user wants to consult about "dry skin" and "stress."

[0200] 1. A user accesses the "Support App" and registers anonymously as "User123." The server generates a user ID and stores basic information.

[0201] 2. The user inputs information such as "dry skin" and "high stress." The device collects this information and sends it to the server.

[0202] 3. The server's AI engine performs the analysis and comes to a conclusion, such as "stress may be causing dry skin."

[0203] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques for stress management." The device displays this custom advice.

[0204] Prompt Sentence Examples

[0205] "Username: User456 Skin condition: Dry Mental health: High stress"

[0206] Hardware and software used

[0207] The server runs on a cloud-based infrastructure (e.g., AWS (registered trademark) or Google (registered trademark) Cloud) and uses frameworks such as TensorFlow or PyTorch as its AI engine. The device refers to the user's smartphone or tablet, and the application runs on the ANDROID (registered trademark) and iOS platforms. The server and device communicate via a REST API to send and receive user data.

[0208] This will strengthen medical support at beauty clinics and create a system that allows users to anonymously consult about their skin condition and mental health.

[0209] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0210] Step 1:

[0211] A user installs the "Support App" and creates an anonymous account. The user enters a username and password for anonymous use. The entered information is sent from the device to the server. The server generates a user ID based on the received information and stores this information in a database. The output of this storage process is a new user ID.

[0212] Step 2:

[0213] Through the application, the user inputs basic information about their skin condition and mental health, such as dry skin, acne, stress level, and sleep duration. This information is collected on the device and sent to the server, which stores the information in a database and creates an initial data set. The output of this process is the initial data stored in the database.

[0214] Step 3:

[0215] An AI engine built into the server periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. A model is generated based on data about the user's skin condition and mental health, and the data is analyzed using generative AI. Based on the analysis results, specific custom advice is generated, such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The output of this analysis process is custom advice.

[0216] Step 4:

[0217] The server sends the generated custom advice to the terminal, and the terminal notifies the user. The user can check the advice through the terminal. The input of this notification process is the generated custom advice, and the output is the advice displayed on the user terminal.

[0218] Step 5:

[0219] When a user visits a beauty clinic for a consultation, they use an application to share information with medical staff. The information shared includes skin condition and mental health data entered by the user. The server sends this information to a terminal at the beauty clinic. The input of this information sharing process is the user's skin condition and mental health information, and the output is the information displayed on the terminal of the medical staff.

[0220] Step 6:

[0221] The server's AI technology analyzes data during consultations at beauty clinics and provides specific medical advice to medical staff. For example, it suggests specific treatments for dry skin. The server retrieves user information from a database and performs analysis using an AI model. The input to this analysis process is the user's data, and the output is specific medical advice based on the analysis results.

[0222] Example prompt sentence:

[0223] "Username: User456 Skin condition: Dry Mental health: High stress"

[0224] 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.

[0225] This invention combines a system that comprehensively supports the user's skin condition and mental health with an emotion engine that recognizes the user's emotional state, thereby providing more personalized custom advice.

[0226] System configuration

[0227] 1. User Registration

[0228] A user installs the MindView application and accesses the new registration screen. They enter a username and password for anonymous use, which the device collects and sends to the server. The server generates a user ID based on this information and stores it in a database.

[0229] 2. Enter basic information

[0230] Through the application, users input basic information about their skin condition and mental health. The device collects this information and sends it to a server, which stores it in a database and creates an initial data set.

[0231] 3. Emotion Recognition by Emotion Engine

[0232] While a user is using an application, the emotion engine analyzes the user's facial expressions, voice, text input, etc. to recognize their emotional state. For example, the device uses a camera or microphone to collect the user's facial expressions and voice and transmits them to the emotion engine. The emotion engine analyzes this data to determine whether the user is feeling stressed or relaxed.

[0233] 4. Data analysis and custom advice

[0234] The AI ​​engine built into the server comprehensively analyzes the emotional data obtained from the emotion engine, as well as skin condition and mental health data. Based on the analysis results, it generates customized advice for each user. For example, it might suggest relaxation meditation for a user experiencing high stress, or recommend a specific moisturizing cream for a user with dry skin. The device notifies and displays this advice to the user.

[0235] Explanation with concrete examples

[0236] Scenario: A user asks for advice about "dry skin" and "stress."

[0237] 1. A user accesses MindView and registers anonymously as "User123." The server generates a user ID and stores basic information.

[0238] 2. The user enters information such as "dry skin" and "high stress." The device collects this information and sends it to the server.

[0239] 3. The server's AI engine and emotion engine jointly analyze the data and reach a conclusion, such as "stress may be causing dry skin."

[0240] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques to manage stress." The device displays this custom advice.

[0241] 5. The emotion engine analyzes the user's facial and vocal data, and if it determines that the emotional state is stressful, the advice is further personalized according to the emotional state.

[0242] Tracking and ongoing support

[0243] As users regularly use the app and input their latest skin condition and emotional changes, the device sends the new data to the server, which then uses AI to re-analyze the data and track progress, ensuring users receive continuous, up-to-date support.

[0244] Community Features

[0245] Users access the Community tab and select the group they are interested in. The device sends the selection to the server, adding the user to the corresponding community. Here, they can share messages and experiences with other users, providing mutual support.

[0246] Gathering feedback and improving the system

[0247] Users provide feedback after using the app. The device sends this feedback to the server, which analyzes it and uses it to improve the system, ensuring a continuously improving user experience.

[0248] In this way, by using an emotion engine that recognizes the user's emotional state, the present invention can provide more personalized custom advice and realize a system that comprehensively supports the user's skin and mental health.

[0249] The processing flow will be explained below.

[0250] Step 1:

[0251] A user installs the MindView application and accesses the new registration screen.

[0252] Step 2:

[0253] The user enters a username and password for anonymous use.

[0254] Step 3:

[0255] The terminal receives the entered username and password and sends them to the server.

[0256] Step 4:

[0257] The server stores the username and password in a database and generates a user ID.

[0258] Step 5:

[0259] The server returns the generated user ID to the device, and the user's account is created.

[0260] Step 6:

[0261] The user logs in and enters basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.).

[0262] Step 7:

[0263] The device sends the collected basic information to the server.

[0264] Step 8:

[0265] The server stores the received information in a database to create an initial data set.

[0266] Step 9:

[0267] The user inputs their facial expressions, voice, and text while using the application.

[0268] Step 10:

[0269] The device sends the user's facial expressions, voice, and text to the emotion engine.

[0270] Step 11:

[0271] The server's emotion engine analyzes the received data and recognizes the user's emotional state (e.g., stress, joy, sadness).

[0272] Step 12:

[0273] The server's AI engine retrieves the latest user information and the emotion engine's analysis results from the database.

[0274] Step 13:

[0275] The server comprehensively analyzes the user's skin condition, mental health, and emotional state and generates the analysis results.

[0276] Step 14:

[0277] Based on the analysis results, the server generates custom advice for each user (e.g., recommending the use of moisturizing cream or relaxation techniques).

[0278] Step 15:

[0279] The server generates custom advice and sends it to the device.

[0280] Step 16:

[0281] The device receives the custom advice and notifies the user.

[0282] Step 17:

[0283] The user checks the advice and puts it into practice.

[0284] Step 18:

[0285] Users use the app regularly to input their latest skin condition and emotional changes.

[0286] Step 19:

[0287] The terminal collects the updated information and sends it to the server.

[0288] Step 20:

[0289] The server's AI engine reanalyzes the data, including the new data, and tracks progress.

[0290] Step 21:

[0291] The server generates new custom advice based on the progress and analysis results.

[0292] Step 22:

[0293] The server sends the new custom advice to the device.

[0294] Step 23:

[0295] The device will receive new custom advice and notify the user.

[0296] Step 24:

[0297] A user visits the Community tab and selects a group of topics that interest them.

[0298] Step 25:

[0299] The device sends the user's selection to the server.

[0300] Step 26:

[0301] The server adds users to communities of interest and connects them with other users.

[0302] Step 27:

[0303] Users can exchange messages with other users in the community and share information and experiences.

[0304] Step 28:

[0305] Users provide feedback after using the application.

[0306] Step 29:

[0307] The device sends the feedback to the server.

[0308] Step 30:

[0309] The server analyzes the feedback and uses it to improve the system.

[0310] Example 2

[0311] 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."

[0312] While many existing health management systems collect basic information about a user's skin and mental health and provide general advice, few systems analyze the user's emotional state and provide personalized, custom advice based on that information. Furthermore, they lack comprehensive support that integrates progress tracking and community features with other users. This makes it difficult to provide support tailored to the individual needs and circumstances of each user, making it difficult to achieve optimal health management.

[0313] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0314] In this invention, the server includes emotion recognition means for recognizing the emotional state of a user in real time using facial expressions and voice, means including an AI engine for integrating and analyzing the emotional state data with skin and mental health information to generate customized advice, and means for further personalizing the generated customized advice based on the user's emotional state, thereby enabling more personalized comprehensive health support that takes the user's emotional state into consideration.

[0315] "Users" are ordinary users who use this system to manage their skin and mental health conditions.

[0316] "Facial expression" refers to the movements and expressions of the user's face, and is data that is analyzed in real time by emotion recognition means.

[0317] "Voice" refers to the voice data uttered by the user, which is also analyzed in real time by the emotion recognition means.

[0318] The "emotional state" refers to the classification and intensity of the emotion the user is feeling, and is identified by emotion recognition means from data such as facial expressions and voice.

[0319] The "emotion recognition means" is a hardware and software component for identifying the user's emotional state in real time from their facial expressions and voice.

[0320] "Skin condition" refers to the health condition of the user's skin (e.g., dryness, oiliness, wrinkles, etc.), and is data collected by the basic information input means.

[0321] "Mental health information" refers to the user's mental health status (e.g., stress level, mood, etc.), and is data collected by the basic information input means.

[0322] The "AI engine" is an algorithm and software component that comprehensively analyzes collected data (emotional state, skin condition, mental health information) and generates custom advice.

[0323] "Custom Advice" is specific advice or resources generated and provided to a user based on the user's individual data (emotional state, skin condition, mental health information).

[0324] "Progress tracking" is a means of recording and analyzing changes in a user's condition and activity, and providing ongoing support.

[0325] The "community function" is a function that allows multiple users of the system to share information with each other and support each other.

[0326] MODE FOR CARRYING OUT THE INVENTION

[0327] The present invention combines an emotion engine with a system that comprehensively supports users' skin condition and mental health. The system provides an environment where users can seek advice anonymously, tracks their progress, and enables mutual support with other users through a community function. An embodiment of this system is described in detail below.

[0328] 1. System Configuration

[0329] The hardware used includes the user's device (smartphone, tablet, computer, etc.). The device is equipped with a camera and microphone, which are used to collect the user's facial expressions and voice in real time. The device must also be connected to the Internet.

[0330] The software used includes an emotion recognition engine and an AI engine. The emotion recognition engine analyzes the user's facial expressions and voice to identify their emotional state. The AI ​​engine comprehensively analyzes their emotional state, skin condition, and mental health information to generate custom advice.

[0331] 2. User registration and basic information entry

[0332] A user installs the application and enters their username and password on the registration screen. The device collects this information and sends it to the server. The server generates a user ID and stores it in the database.

[0333] The user then enters information about their skin condition and mental health, which the device collects and sends to a server, which receives the information, stores it in a database, and creates an initial data set.

[0334] 3. Emotion Recognition and Data Analysis

[0335] While a user is using an application, the device uses a camera and microphone to collect facial expressions and voice. The collected data is sent to an emotion recognition engine and analyzed in real time. The emotion recognition engine identifies the emotion the user is feeling (e.g., stress, relaxation).

[0336] The emotional data is sent to a server and integrated with the user's skin condition and mental health information. The server's AI engine analyzes this data and generates custom advice that is tailored to the user. The advice is then further personalized based on the user's emotional state.

[0337] Examples:

[0338] For example, if a user inputs information such as "high stress level" or "dry skin," the AI ​​engine will suggest "using specific moisturizing products" and "meditation sessions to reduce stress."

[0339] 4. Custom Advice and Progress Tracking

[0340] The device notifies the user and displays custom advice sent by the server. The user periodically enters new data, which the device collects and sends to the server, which uses this data to track progress and update advice as needed.

[0341] 5. Community Features

[0342] A user accesses the Community tab and selects the group they are interested in. The device sends this selection to the server, adding the user to the corresponding community, where they can share information with other users and provide mutual support.

[0343] 6. Gathering Feedback

[0344] After using the app, users provide feedback, which is then sent to the server, where it is analyzed and used to improve the system.

[0345] Prompt Sentence Examples

[0346] For example, suppose a user enters the following prompt:

[0347] "Can you give me some advice on dry skin and stress relief? Can you recommend any specific products or techniques?"

[0348] This allows users to receive specific advice from the system and use it to help with daily health management.

[0349] The above is a specific embodiment of the present invention. The system analyzes the user's emotional state and provides customized advice based on that analysis, providing comprehensive support for skin and mental health.

[0350] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0351] Step 1:

[0352] A user installs the application and accesses the new registration screen. When the user enters their username and password, the device collects this information. The collected information is sent to the server, which generates a user ID. The generated user ID is saved in the database. The input is the username and password, and the output is the user ID. Specifically, the user enters the username and password "ExampleUser" and clicks the register button.

[0353] Step 2:

[0354] The user inputs information about their skin condition and mental health through the application. The device collects this information and sends it to the server. The server stores the received information in a database and creates an initial data set. The input is skin condition and mental health information, and the output is the initial data set. Specifically, the application inputs information such as "dry skin" and "stress level 8."

[0355] Step 3:

[0356] While the user is using the application, the device uses the camera and microphone to collect facial expressions and voice. This data is sent to the emotion recognition engine, which analyzes the emotional state in real time. The emotion recognition engine then sends the analysis results to the server. The input is the user's facial expressions and voice, and the output is the analyzed emotional state. Specifically, the "Emotion Check" within the application is launched, and emotion recognition is performed.

[0357] Step 4:

[0358] The AI ​​engine built into the server comprehensively analyzes the results of the emotion recognition engine, skin condition, and mental health information. This generates custom advice for each user. The input is emotional state, skin condition, and mental health information, and the output is custom advice. Specifically, it suggests the use of specific moisturizing products and a meditation session based on the information on "high stress level" and "dry skin."

[0359] Step 5:

[0360] The device notifies the user and displays custom advice sent from the server. Every time the user enters new data, the device sends this data to the server. The server re-analyzes the data based on the new data and tracks progress. The input is new user information, and the output is updated custom advice and a progress report. Specifically, the device displays new advice to the user via a push notification.

[0361] Step 6:

[0362] The user accesses the community tab and selects a group of interest. The device sends this selection information to the server, which then adds the user to the corresponding community. The input is the community selection information, and the output is the addition of the user to the community. Specifically, the user selects and joins the "Dry Skin Care" group.

[0363] Step 7:

[0364] After using the app, the user provides feedback. The device sends this feedback to the server, which analyzes it and uses it to improve the system. The input is the user's feedback, and the output is data for system improvement. Specifically, the user enters their thoughts into a feedback form and submits it.

[0365] (Application example 2)

[0366] 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."

[0367] Conventional self-driving vehicles lacked the means to properly monitor the driver's mental health and emotional state, limiting safety improvements and individual support. As a result, there were concerns about the risk of accidents due to sudden stress or fatigue in the driver. In addition, there was a lack of systems that comprehensively support the driver's skin condition and mental state, meaning that total support for the driver was not provided adequately.

[0368] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for providing the user with customized advice and resources generated based on the above information; means for tracking the user's progress and providing comprehensive support based on the analysis results; means for providing an environment where the user can anonymously consult about their skin condition or mental state; means for providing mutual support using a community function with other users who share the same concerns; means for recognizing the user's emotional state while driving in real time and providing customized advice and alerts; and means for analyzing the user's facial expressions and voice to generate data for improving driving safety. This allows the user's stress and fatigue while driving to be monitored in real time and receive the necessary support and advice. Furthermore, comprehensive support is provided for skin condition and mental state, thereby realizing total support for the driver.

[0369] "Custom Advice" means specific advice or recommendations provided based on a User's individual situation or needs.

[0370] "Resources" refers to information, tools, or services that can help support or improve your experience.

[0371] "Users" refers to people who use the system, specifically including drivers.

[0372] "Progress tracking" means continuously tracking and recording changes in a user's condition or behavior.

[0373] "Analysis results" refers to the conclusions and findings obtained from analysis based on collected data.

[0374] "Full support" means providing comprehensive support for users' various needs and problems.

[0375] "Providing an environment" refers to creating conditions that enable users to carry out specific activities or behaviors without any problems.

[0376] "Community function" refers to a mechanism that allows multiple users with the same interests or problems to connect with each other, exchange information, and provide support.

[0377] "Real-time recognition" refers to understanding and processing the content and meaning of data as soon as it is generated.

[0378] An "alert" is a warning or warning that is automatically sent when a specific situation occurs.

[0379] "Generating data" means processing collected information to create new information and insights.

[0380] The present invention provides a system for comprehensively supporting a user's emotional state and mental health, and an embodiment thereof is described in detail below. This system monitors the emotional state of a user (driver) in an autonomous vehicle in real time and provides appropriate customized advice and alerts.

[0381] System configuration

[0382] The system consists of the following main components:

[0383] 1. User registration and basic information entry

[0384] A user installs the Driver Health Monitor application on their smartphone or in-car display and registers. They enter an anonymous username and password, which the device collects and sends to the server. The server generates a user ID and stores it in a database.

[0385] Basic information such as skin condition and mental health is entered, and the device collects this information and sends it to the server, which creates an initial data set and stores it in a database.

[0386] 2. Real-time emotion recognition

[0387] Using cameras and microphones installed inside the vehicle, the vehicle terminal collects the user's facial expressions and voice. This data is sent to the emotion engine and analyzed in real time. Based on the analysis results, the emotion engine determines whether the user is feeling stressed or relaxed.

[0388] 3. Data analysis and custom advice

[0389] The AI ​​engine built into the server comprehensively analyzes the data obtained from the emotion engine along with skin condition and mental health data. Based on the analysis results, it generates personalized, custom advice and alerts and notifies the user via their device. For example, if stress levels are high, it may suggest relaxation meditation, or recommend a specific moisturizing cream to users with dry skin.

[0390] 4. Tracking and ongoing support

[0391] As users regularly use the app and input their latest skin condition and emotional changes, the device sends the new data to the server, which then uses AI to re-analyze the data, track progress, and provide ongoing, up-to-date support.

[0392] 5. Community Features

[0393] Users access the community tab, select groups of interest, and their device sends the selection to the server, which adds the user to the corresponding community, allowing users to share messages, experiences, and support each other.

[0394] 6. Gathering feedback and improving the system

[0395] After using the app, users provide feedback, which their devices send to the server, which analyzes the feedback and uses it to improve the system and continually enhance the user experience.

[0396] Hardware and software used

[0397] Hardware:

[0398] In-car cameras, microphones, autonomous vehicle control systems, smartphones

[0399] software:

[0400] OpenCV: Image analysis library

[0401] DeepFace: Emotion Recognition Library

[0402] Python: a programming language

[0403] Server: Data analysis and storage

[0404] Specific examples

[0405] For example, by inputting the following prompt sentences into the generative AI model, more advanced advice and analysis results can be generated.

[0406] Prompt Sentence Examples

[0407] "If the driver is stressed, suggest music or sound effects to help them relax."

[0408] "If extreme fatigue is detected from the driver's facial expression, issue an alert and generate a message encouraging them to take a break."

[0409] "Provide safety advice for the driver's future driving based on real-time sentiment analysis results."

[0410] In this way, the present invention can improve the safety of autonomous vehicles by monitoring the user's emotional state in real time and providing personalized, customised advice and alerts, while also providing comprehensive mental health support.

[0411] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0412] Step 1:

[0413] A user installs the Driver Health Monitor application on their smartphone or in-car display and registers. The entered anonymous username and password are collected from the device and sent to the server. The server receives this, generates a user ID, and stores it in a database. The input is the username and password, and the output is the generated user ID.

[0414] Step 2:

[0415] The user enters basic information about their skin condition and mental health into the application. The device collects this data and sends it to the server. The server creates an initial dataset based on the received information and stores it in a database. The input is data about skin condition and mental health, and the output is the initial dataset.

[0416] Step 3:

[0417] Cameras and microphones installed inside the vehicle collect the user's facial and voice data in real time. This data is sent to the emotion engine via the device. The emotion engine analyzes the data and recognizes the user's emotional state in real time. The input is facial and voice data, and the output is the analyzed emotional state.

[0418] Step 4:

[0419] The AI ​​engine built into the server comprehensively analyzes the emotional data obtained from the emotion engine, as well as skin condition and mental health data. Based on the analysis results, it generates and notifies users with customized advice and alerts. The input is emotional data and basic data, and the output is customized advice and alerts.

[0420] Step 5:

[0421] Users regularly use the app to input their latest skin condition and emotional changes. The device then sends this new data to the server, which then uses AI to reanalyze the new data, track progress, and provide the latest support. The input is the latest skin condition and emotional data, and the output is the reanalysis results and updated support information.

[0422] Step 6:

[0423] A user accesses the community tab and selects a group of interest. The device sends the selection to the server, which adds the user to the corresponding community. Within the community, users share messages and experiences and provide mutual support. The input is the selection of a community group, and the output is adding the user to the community.

[0424] Step 7:

[0425] Users provide feedback after using the app. The device collects the feedback and sends it to the server. The server analyzes the feedback and uses it to improve the system. The feedback is used to continuously improve the user experience. The input is user feedback, and the output is analysis results and insights for system improvement.

[0426] Add specific examples

[0427] For example, by inputting the following prompt sentence into the generative AI model, more advanced advice and analysis results can be generated.

[0428] Prompt Sentence Examples

[0429] "If the driver is stressed, suggest music or sound effects to help them relax."

[0430] "If extreme fatigue is detected from the driver's facial expression, issue an alert and generate a message encouraging them to take a break."

[0431] "Provide safety advice for the driver's future driving based on real-time sentiment analysis results."

[0432] This system allows users to monitor their stress and fatigue while driving in real time, and provides them with immediate assistance and advice when needed.

[0433] 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.

[0434] 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.

[0435] 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.

[0436] [Second embodiment]

[0437] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0438] 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.

[0439] 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).

[0440] 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.

[0441] 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.

[0442] 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).

[0443] 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.

[0444] 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.

[0445] 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.

[0446] 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.

[0447] 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.

[0448] 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."

[0449] The present invention is a system that comprehensively supports a user's skin condition and mental health, and is provided in the following specific manner.

[0450] System configuration

[0451] 1. User Registration

[0452] A user installs the MindView application and creates an anonymous account. At this time, the user enters a username and password for anonymous use, which are collected by the device and sent to the server. The server generates a user ID based on this information and stores it in a database.

[0453] 2. Enter basic information

[0454] Through the application, users input basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.). The device collects this information and sends it to the server, which stores it in a database and creates an initial data set.

[0455] 3. Data analysis and custom advice

[0456] The AI ​​engine built into the server periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Based on the analysis results, it generates customized advice for each user. This includes specific suggestions such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The device notifies and displays this advice to the user.

[0457] Explanation with concrete examples

[0458] Scenario: A user asks for advice about "dry skin" and "stress."

[0459] 1. A user accesses MindView and registers anonymously as "User123." The server generates a user ID and stores basic information.

[0460] 2. The user enters information such as "dry skin" and "high stress." The device collects this information and sends it to the server.

[0461] 3. The server's AI engine performs the analysis and comes to a conclusion, such as "stress may be causing dry skin."

[0462] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques to manage stress." The device displays this custom advice.

[0463] Tracking and ongoing support

[0464] As users regularly use the app and input their latest skin condition and emotional changes, the device sends the new data to the server, which then uses AI to re-analyze the data and track progress, ensuring users receive continuous, up-to-date support.

[0465] Community Features

[0466] Users access the Community tab and select the group they are interested in. The device sends the selection to the server, adding the user to the corresponding community. Here, they can share messages and experiences with other users, providing mutual support.

[0467] Gathering feedback and improving the system

[0468] Users provide feedback after using the app. The device sends this feedback to the server, which analyzes it and uses it to improve the system, ensuring a continuously improving user experience.

[0469] The processing flow will be explained below.

[0470] Step 1:

[0471] A user installs the MindView application and accesses the new registration screen.

[0472] Step 2:

[0473] The user enters a username and password for anonymous use.

[0474] Step 3:

[0475] The terminal receives the entered username and password and sends them to the server.

[0476] Step 4:

[0477] The server stores the username and password in a database and generates a user ID.

[0478] Step 5:

[0479] The server returns the generated user ID to the device, and the user's account is created.

[0480] Step 6:

[0481] The user logs in and enters basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.).

[0482] Step 7:

[0483] The device sends the collected basic information to the server.

[0484] Step 8:

[0485] The server stores the received information in a database to create an initial data set.

[0486] Step 9:

[0487] The server's AI engine retrieves the latest user information from the database.

[0488] Step 10:

[0489] The server analyzes the relationship between skin condition and mental health and generates the analysis results.

[0490] Step 11:

[0491] The server generates custom advice for each user based on the analysis results.

[0492] Step 12:

[0493] The server generates custom advice and sends it to the device.

[0494] Step 13:

[0495] The device receives the custom advice and notifies the user.

[0496] Step 14:

[0497] Users access the app periodically to enter their latest skin condition and emotional changes.

[0498] Step 15:

[0499] The terminal collects the updated information and sends it to the server.

[0500] Step 16:

[0501] The server's AI engine reanalyzes the data, including the new data, and tracks progress.

[0502] Step 17:

[0503] The server generates new custom advice based on the progress and analysis results.

[0504] Step 18:

[0505] The server sends the new custom advice to the device.

[0506] Step 19:

[0507] The device will receive new custom advice and notify the user.

[0508] Step 20:

[0509] A user visits the Community tab and selects a group of topics that interest them.

[0510] Step 21:

[0511] The device sends the user's selection to the server.

[0512] Step 22:

[0513] The server adds users to communities of interest and connects them with other users.

[0514] Step 23:

[0515] Users can exchange messages with other users in the community and share information and experiences.

[0516] Step 24:

[0517] Users provide feedback after using the application.

[0518] Step 25:

[0519] The device sends the feedback to the server.

[0520] Step 26:

[0521] The server analyzes the feedback and uses it to improve the system.

[0522] Example 1

[0523] 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."

[0524] Conventional support systems for skin conditions and mental health require individualized responses, such as face-to-face counseling, and lack anonymity and ease of use. Furthermore, many systems only provide one-time advice based on user input, making ongoing follow-up difficult. Furthermore, there is often a lack of communication between users, and no environment for mutual support is provided.

[0525] 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.

[0526] In this invention, the server includes: means for a user to anonymously create an account and input basic information; means for a terminal to collect the user's input information and send it to the server; means for the server to store the received information in a database and generate a user ID; means for analyzing the collected data using an AI engine and generating custom advice; means for the terminal to notify and display the custom advice to the user; means for tracking the user's progress and periodically reanalyzing the data; means for users to access communities of interest and provide an environment for mutual support; and means for collecting and analyzing feedback from users to help improve the system. This allows users to easily seek advice anonymously and receive ongoing support and advice, ensuring optimal care at all times, while also enabling them to obtain further support through interactions with other users.

[0527] "User" refers to an individual who uses the system, creates an account anonymously, and provides information about their skin condition and mental health.

[0528] A "terminal" refers to a device used by a user, and is a device that collects input information from a smartphone, tablet, etc. and sends it to a server.

[0529] The "server" is a central computer that manages and operates the entire system, receives information sent by users, stores it in a database, and analyzes and generates advice.

[0530] "Database" refers to an electronic storage device for storing user information and analysis results, and is managed by a server.

[0531] An "AI engine" is a program that uses artificial intelligence technology to analyze data collected from users and generate custom advice.

[0532] "Custom advice" refers to specific suggestions and recommendations provided to individual users based on the results of analysis by the AI ​​engine.

[0533] "Tracking" refers to the process of continuously collecting, analyzing, and recording a user's progress and latest data.

[0534] A "community" is an online group where multiple users with the same concerns or interests can join to support each other and share information.

[0535] "Feedback" refers to information provided by users after using the system regarding their experience and areas for improvement, which can be used to improve the system.

[0536] The present invention is a system that comprehensively supports the user's skin condition and mental health. The configuration and operation of the system are described below, along with the specific names of the hardware and software used.

[0537] System configuration

[0538] 1. User Registration

[0539] Users must install the MindView application on their smartphones, tablets, or other devices and create an anonymous account. When creating an account, users enter a username and password for anonymous use, and the device collects this information and sends it to the server. The server then generates a user ID based on the information and stores it in a database.

[0540] 2. Enter basic information

[0541] Through the application, users input basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.). The device collects this information and sends it to the server, which stores it in a database and creates an initial data set.

[0542] 3. Data analysis and custom advice

[0543] The server's built-in AI engine (e.g., TensorFlow, PyTorch) periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Based on the analysis results, it generates personalized, custom advice. The advice includes specific suggestions such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The device notifies and displays this custom advice to the user.

[0544] 4. Tracking and ongoing support

[0545] Each time a user uses the app regularly and inputs their latest skin condition and emotional changes, the device sends the new data to the server, which then re-analyzes this data using an AI engine to track the user's progress, ensuring that the user receives continuous, up-to-date support.

[0546] 5. Community Features

[0547] A user accesses the community tab and selects a group they are interested in. The device sends the selected group information to the server, which then adds the user to the corresponding community. This provides an environment where users can share messages and experiences with other users and support each other.

[0548] 6. Gathering feedback and improving the system

[0549] Users provide feedback after using the app. The device collects this feedback and sends it to the server. The server analyzes the feedback and uses it to improve the system, ensuring a continuously improving user experience.

[0550] Explanation with concrete examples

[0551] For example, consider the case where a user asks for advice about "dry skin" and "stress."

[0552] 1. A user installs the MindView app and registers anonymously as "User123." The server generates a user ID and stores basic information.

[0553] 2. The user enters the information that they have "dry skin" and "high stress," and the device collects this information and sends it to the server.

[0554] 3. The server's AI engine analyzes the data and concludes that "stress may be causing dry skin."

[0555] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques for stress management." The device displays this custom advice.

[0556] Prompt Sentence Examples

[0557] Below are some examples of prompts used in generative AI models:

[0558] "Please give me some advice on how stress affects dry skin."

[0559] "How can I balance acne prevention with my mental health?"

[0560] "Please suggest some effective relaxation techniques for stress management."

[0561] As described above, the present invention collects data on the user's skin condition and mental health, analyzes it using an AI engine, and provides individually customized advice, thereby continuously providing optimal support to the user.

[0562] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0563] Step 1: User Registration

[0564] A user installs an application on a device such as a smartphone or tablet and creates an account. Specifically, the user enters a username and password, and the device collects this information and sends it to the server. The server generates a user ID based on the received username and password and stores it in a database. The input here is the username and password, and the output is the generated user ID.

[0565] Step 2: Enter basic information

[0566] Through the application, users input basic information about their skin condition and mental health, including skin dryness, acne, stress level, and sleep duration. The device collects this information and sends it to a server. The server stores the received information in a database and creates an initial dataset. The input here is skin condition and mental health information, and the output is the initial dataset.

[0567] Step 3: Analyze data and generate custom advice

[0568] The server's AI engine retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Specifically, it analyzes the collected data using statistical and machine learning algorithms to generate custom advice for each user. For example, specific advice might include "using a specific moisturizing cream for dry skin" or "trying yoga to reduce stress." The input here is the latest user information, and the output is custom advice.

[0569] Step 4: Notification of custom advice

[0570] The terminal notifies the user of the custom advice received from the server and displays it. The user receives the notification and confirms the advice. The input here is the custom advice from the server, and the output is the advice displayed to the user.

[0571] Step 5: Tracking and ongoing support

[0572] Users regularly use the app to input their latest skin condition and emotional changes. The device collects this new information and sends it to the server. The server then uses an AI engine to reanalyze the new data and track progress. This allows users to receive optimal support on an ongoing basis. The input here is the user's new information, and the output is tracked progress.

[0573] Step 6: Community Features

[0574] A user accesses the community tab and selects a group of interest. The device sends the user's selection to the server. The server adds the user to the corresponding community, providing an environment where users can share messages and experiences and support each other. The input here is the user's group selection, and the output is the added community.

[0575] Step 7: Gather feedback and improve the system

[0576] Users provide feedback after using the app. The device collects this feedback and sends it to the server. The server analyzes the feedback and uses it to improve the system, thereby continuously improving the user experience. The input here is user feedback, and the output is an improved system.

[0577] (Application example 1)

[0578] 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."

[0579] Many people today are concerned about skin problems and mental health, and there is a need for a comprehensive support system to improve these conditions. However, current systems lack an environment where users can seek advice anonymously, a community where users can share support with other users who have the same concerns, or a mechanism for sharing information with medical staff to provide specific advice. In particular, there is no system specialized in providing support for medical treatment at beauty clinics, which poses a challenge for users, as they are unable to receive sufficient support.

[0580] 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.

[0581] In this invention, the server includes: means for providing users with custom advice and resources generated based on the information; means for tracking the user's progress and providing total support based on the analysis results; means for providing an environment where the user can anonymously consult about their skin condition or mental state; means for providing mutual support using a community function with other users who have the same concerns; means for applying the information to medical support at a beauty clinic and sharing the information with medical staff; and means for analyzing the information using AI technology during treatment at the beauty clinic and providing specific advice to medical staff. This enables users to anonymously consult about their skin condition or mental health and receive specific advice from medical staff.

[0582] "Information" refers to data collected from users about their skin condition and mental health status.

[0583] "Custom Advice" is specific advice generated based on the analysis of a user's individual skin condition and mental health.

[0584] "Resources" are information about products and services to improve a user's skin condition or mental health.

[0585] "Progress" is data about changes in skin condition and mental health reported by users.

[0586] "Total Support" is a series of suggestions and guides to comprehensively support users' skin condition and mental health.

[0587] "Anonymous" means that users can report their skin condition or mental health status without being identified.

[0588] The "community function" allows users with the same concerns to share information and experiences and provide mutual support.

[0589] A "beauty clinic" is a medical institution that provides consultations and treatments related to users' skin conditions and beauty.

[0590] "Clinical support" refers to providing support to medical staff to enable them to provide medical care more effectively and efficiently.

[0591] "AI technology" refers to artificial intelligence technology used to analyze a user's skin condition and mental health data and generate custom advice.

[0592] "Medical staff" are professionals who provide medical treatment and counseling to users at medical institutions such as beauty clinics.

[0593] This invention is a system that supports beauty clinics by providing comprehensive support for users' skin condition and mental health. Users anonymously input their skin condition and mental health status, which is then analyzed using AI technology and customized advice is provided.

[0594] System configuration

[0595] 1. User Registration

[0596] The user installs the "Support App" and creates an anonymous account. At this time, the user enters a username and password for anonymous use, which the device collects and sends to the server. The server generates a user ID based on this information and stores it in a database.

[0597] 2. Enter basic information

[0598] Through the application, users input basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.). The device collects this information and sends it to the server, which stores it in a database and creates an initial data set.

[0599] 3. Data analysis and custom advice

[0600] The AI ​​engine built into the server periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Based on the analysis results, it generates customized advice for each user. This includes specific suggestions such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The device notifies the user of this advice and displays it to them.

[0601] 4. Medical support at beauty clinics

[0602] When users visit a beauty clinic for a consultation, they use the app to share information about their skin condition and mental health with medical staff. The server then sends the information to a device at the beauty clinic, and medical staff use that information to conduct their consultation. The server's AI technology analyzes the information and provides specific medical advice.

[0603] Explanation with concrete examples

[0604] Scenario: A user wants to consult about "dry skin" and "stress."

[0605] 1. A user accesses the "Support App" and registers anonymously as "User123." The server generates a user ID and stores basic information.

[0606] 2. The user inputs information such as "dry skin" and "high stress." The device collects this information and sends it to the server.

[0607] 3. The server's AI engine performs the analysis and comes to a conclusion, such as "stress may be causing dry skin."

[0608] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques for stress management." The device displays this custom advice.

[0609] Prompt Sentence Examples

[0610] "Username: User456 Skin condition: Dry Mental health: High stress"

[0611] Hardware and software used

[0612] The server runs on a cloud-based infrastructure (e.g., AWS or Google Cloud) and uses frameworks such as TensorFlow or PyTorch as its AI engine. The device refers to the user's smartphone or tablet, and the application runs on the Android or iOS platform. The server and device communicate via a REST API to send and receive user data.

[0613] This will strengthen medical support at beauty clinics and create a system that allows users to anonymously consult about their skin condition and mental health.

[0614] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0615] Step 1:

[0616] A user installs the "Support App" and creates an anonymous account. The user enters a username and password for anonymous use. The entered information is sent from the device to the server. The server generates a user ID based on the received information and stores this information in a database. The output of this storage process is a new user ID.

[0617] Step 2:

[0618] Through the application, the user inputs basic information about their skin condition and mental health, such as dry skin, acne, stress level, and sleep duration. This information is collected on the device and sent to the server, which stores the information in a database and creates an initial data set. The output of this process is the initial data stored in the database.

[0619] Step 3:

[0620] An AI engine built into the server periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. A model is generated based on data about the user's skin condition and mental health, and the data is analyzed using generative AI. Based on the analysis results, specific custom advice is generated, such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The output of this analysis process is custom advice.

[0621] Step 4:

[0622] The server sends the generated custom advice to the terminal, and the terminal notifies the user. The user can check the advice through the terminal. The input of this notification process is the generated custom advice, and the output is the advice displayed on the user terminal.

[0623] Step 5:

[0624] When a user visits a beauty clinic for a consultation, they use an application to share information with medical staff. The information shared includes skin condition and mental health data entered by the user. The server sends this information to a terminal at the beauty clinic. The input of this information sharing process is the user's skin condition and mental health information, and the output is the information displayed on the terminal of the medical staff.

[0625] Step 6:

[0626] The server's AI technology analyzes data during consultations at beauty clinics and provides specific medical advice to medical staff. For example, it suggests specific treatments for dry skin. The server retrieves user information from a database and performs analysis using an AI model. The input to this analysis process is the user's data, and the output is specific medical advice based on the analysis results.

[0627] Example prompt sentence:

[0628] "Username: User456 Skin condition: Dry Mental health: High stress"

[0629] 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.

[0630] This invention combines a system that comprehensively supports the user's skin condition and mental health with an emotion engine that recognizes the user's emotional state, thereby providing more personalized custom advice.

[0631] System configuration

[0632] 1. User Registration

[0633] A user installs the MindView application and accesses the new registration screen. They enter a username and password for anonymous use, which the device collects and sends to the server. The server generates a user ID based on this information and stores it in a database.

[0634] 2. Enter basic information

[0635] Through the application, users input basic information about their skin condition and mental health. The device collects this information and sends it to a server, which stores it in a database and creates an initial data set.

[0636] 3. Emotion Recognition by Emotion Engine

[0637] While a user is using an application, the emotion engine analyzes the user's facial expressions, voice, text input, etc. to recognize their emotional state. For example, the device uses a camera or microphone to collect the user's facial expressions and voice and transmits them to the emotion engine. The emotion engine analyzes this data to determine whether the user is feeling stressed or relaxed.

[0638] 4. Data analysis and custom advice

[0639] The AI ​​engine built into the server comprehensively analyzes the emotional data obtained from the emotion engine, as well as skin condition and mental health data. Based on the analysis results, it generates customized advice for each user. For example, it might suggest relaxation meditation for a user experiencing high stress, or recommend a specific moisturizing cream for a user with dry skin. The device notifies and displays this advice to the user.

[0640] Explanation with concrete examples

[0641] Scenario: A user asks for advice about "dry skin" and "stress."

[0642] 1. A user accesses MindView and registers anonymously as "User123." The server generates a user ID and stores basic information.

[0643] 2. The user enters information such as "dry skin" and "high stress." The device collects this information and sends it to the server.

[0644] 3. The server's AI engine and emotion engine jointly analyze the data and reach a conclusion, such as "stress may be causing dry skin."

[0645] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques to manage stress." The device displays this custom advice.

[0646] 5. The emotion engine analyzes the user's facial and vocal data, and if it determines that the emotional state is stressful, the advice is further personalized according to the emotional state.

[0647] Tracking and ongoing support

[0648] As users regularly use the app and input their latest skin condition and emotional changes, the device sends the new data to the server, which then uses AI to re-analyze the data and track progress, ensuring users receive continuous, up-to-date support.

[0649] Community Features

[0650] Users access the Community tab and select the group they are interested in. The device sends the selection to the server, adding the user to the corresponding community. Here, they can share messages and experiences with other users, providing mutual support.

[0651] Gathering feedback and improving the system

[0652] Users provide feedback after using the app. The device sends this feedback to the server, which analyzes it and uses it to improve the system, ensuring a continuously improving user experience.

[0653] In this way, by using an emotion engine that recognizes the user's emotional state, the present invention can provide more personalized custom advice and realize a system that comprehensively supports the user's skin and mental health.

[0654] The processing flow will be explained below.

[0655] Step 1:

[0656] A user installs the MindView application and accesses the new registration screen.

[0657] Step 2:

[0658] The user enters a username and password for anonymous use.

[0659] Step 3:

[0660] The terminal receives the entered username and password and sends them to the server.

[0661] Step 4:

[0662] The server stores the username and password in a database and generates a user ID.

[0663] Step 5:

[0664] The server returns the generated user ID to the device, and the user's account is created.

[0665] Step 6:

[0666] The user logs in and enters basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.).

[0667] Step 7:

[0668] The device sends the collected basic information to the server.

[0669] Step 8:

[0670] The server stores the received information in a database to create an initial data set.

[0671] Step 9:

[0672] The user inputs their facial expressions, voice, and text while using the application.

[0673] Step 10:

[0674] The device sends the user's facial expressions, voice, and text to the emotion engine.

[0675] Step 11:

[0676] The server's emotion engine analyzes the received data and recognizes the user's emotional state (e.g., stress, joy, sadness).

[0677] Step 12:

[0678] The server's AI engine retrieves the latest user information and the emotion engine's analysis results from the database.

[0679] Step 13:

[0680] The server comprehensively analyzes the user's skin condition, mental health, and emotional state and generates the analysis results.

[0681] Step 14:

[0682] Based on the analysis results, the server generates custom advice for each user (e.g., recommending the use of moisturizing cream or relaxation techniques).

[0683] Step 15:

[0684] The server generates custom advice and sends it to the device.

[0685] Step 16:

[0686] The device receives the custom advice and notifies the user.

[0687] Step 17:

[0688] The user checks the advice and puts it into practice.

[0689] Step 18:

[0690] Users use the app regularly to input their latest skin condition and emotional changes.

[0691] Step 19:

[0692] The terminal collects the updated information and sends it to the server.

[0693] Step 20:

[0694] The server's AI engine reanalyzes the data, including the new data, and tracks progress.

[0695] Step 21:

[0696] The server generates new custom advice based on the progress and analysis results.

[0697] Step 22:

[0698] The server sends the new custom advice to the device.

[0699] Step 23:

[0700] The device will receive new custom advice and notify the user.

[0701] Step 24:

[0702] A user visits the Community tab and selects a group of topics that interest them.

[0703] Step 25:

[0704] The device sends the user's selection to the server.

[0705] Step 26:

[0706] The server adds users to communities of interest and connects them with other users.

[0707] Step 27:

[0708] Users can exchange messages with other users in the community and share information and experiences.

[0709] Step 28:

[0710] Users provide feedback after using the application.

[0711] Step 29:

[0712] The device sends the feedback to the server.

[0713] Step 30:

[0714] The server analyzes the feedback and uses it to improve the system.

[0715] Example 2

[0716] 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."

[0717] While many existing health management systems collect basic information about a user's skin and mental health and provide general advice, few systems analyze the user's emotional state and provide personalized, custom advice based on that information. Furthermore, they lack comprehensive support that integrates progress tracking and community features with other users. This makes it difficult to provide support tailored to the individual needs and circumstances of each user, making it difficult to achieve optimal health management.

[0718] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0719] In this invention, the server includes emotion recognition means for recognizing the emotional state of a user in real time using facial expressions and voice, means including an AI engine for integrating and analyzing the emotional state data with skin and mental health information to generate customized advice, and means for further personalizing the generated customized advice based on the user's emotional state, thereby enabling more personalized comprehensive health support that takes the user's emotional state into consideration.

[0720] "Users" are ordinary users who use this system to manage their skin and mental health conditions.

[0721] "Facial expression" refers to the movements and expressions of the user's face, and is data that is analyzed in real time by emotion recognition means.

[0722] "Voice" refers to the voice data uttered by the user, which is also analyzed in real time by the emotion recognition means.

[0723] The "emotional state" refers to the classification and intensity of the emotion the user is feeling, and is identified by emotion recognition means from data such as facial expressions and voice.

[0724] The "emotion recognition means" is a hardware and software component for identifying the user's emotional state in real time from their facial expressions and voice.

[0725] "Skin condition" refers to the health condition of the user's skin (e.g., dryness, oiliness, wrinkles, etc.), and is data collected by the basic information input means.

[0726] "Mental health information" refers to the user's mental health status (e.g., stress level, mood, etc.), and is data collected by the basic information input means.

[0727] The "AI engine" is an algorithm and software component that comprehensively analyzes collected data (emotional state, skin condition, mental health information) and generates custom advice.

[0728] "Custom Advice" is specific advice or resources generated and provided to a user based on the user's individual data (emotional state, skin condition, mental health information).

[0729] "Progress tracking" is a means of recording and analyzing changes in a user's condition and activity, and providing ongoing support.

[0730] The "community function" is a function that allows multiple users of the system to share information with each other and support each other.

[0731] MODE FOR CARRYING OUT THE INVENTION

[0732] The present invention combines an emotion engine with a system that comprehensively supports users' skin condition and mental health. The system provides an environment where users can seek advice anonymously, tracks their progress, and enables mutual support with other users through a community function. An embodiment of this system is described in detail below.

[0733] 1. System Configuration

[0734] The hardware used includes the user's device (smartphone, tablet, computer, etc.). The device is equipped with a camera and microphone, which are used to collect the user's facial expressions and voice in real time. The device must also be connected to the Internet.

[0735] The software used includes an emotion recognition engine and an AI engine. The emotion recognition engine analyzes the user's facial expressions and voice to identify their emotional state. The AI ​​engine comprehensively analyzes their emotional state, skin condition, and mental health information to generate custom advice.

[0736] 2. User registration and basic information entry

[0737] A user installs the application and enters their username and password on the registration screen. The device collects this information and sends it to the server. The server generates a user ID and stores it in the database.

[0738] The user then enters information about their skin condition and mental health, which the device collects and sends to a server, which receives the information, stores it in a database, and creates an initial data set.

[0739] 3. Emotion Recognition and Data Analysis

[0740] While a user is using an application, the device uses a camera and microphone to collect facial expressions and voice. The collected data is sent to an emotion recognition engine and analyzed in real time. The emotion recognition engine identifies the emotion the user is feeling (e.g., stress, relaxation).

[0741] The emotional data is sent to a server and integrated with the user's skin condition and mental health information. The server's AI engine analyzes this data and generates custom advice that is tailored to the user. The advice is then further personalized based on the user's emotional state.

[0742] Examples:

[0743] For example, if a user inputs information such as "high stress level" or "dry skin," the AI ​​engine will suggest "using specific moisturizing products" and "meditation sessions to reduce stress."

[0744] 4. Custom Advice and Progress Tracking

[0745] The device notifies the user and displays custom advice sent by the server. The user periodically enters new data, which the device collects and sends to the server, which uses this data to track progress and update advice as needed.

[0746] 5. Community Features

[0747] A user accesses the Community tab and selects the group they are interested in. The device sends this selection to the server, adding the user to the corresponding community, where they can share information with other users and provide mutual support.

[0748] 6. Gathering Feedback

[0749] After using the app, users provide feedback, which is then sent to the server, where it is analyzed and used to improve the system.

[0750] Prompt Sentence Examples

[0751] For example, suppose a user enters the following prompt:

[0752] "Can you give me some advice on dry skin and stress relief? Can you recommend any specific products or techniques?"

[0753] This allows users to receive specific advice from the system and use it to help with daily health management.

[0754] The above is a specific embodiment of the present invention. The system analyzes the user's emotional state and provides customized advice based on that analysis, providing comprehensive support for skin and mental health.

[0755] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0756] Step 1:

[0757] A user installs the application and accesses the new registration screen. When the user enters their username and password, the device collects this information. The collected information is sent to the server, which generates a user ID. The generated user ID is saved in the database. The input is the username and password, and the output is the user ID. Specifically, the user enters the username and password "ExampleUser" and clicks the register button.

[0758] Step 2:

[0759] The user inputs information about their skin condition and mental health through the application. The device collects this information and sends it to the server. The server stores the received information in a database and creates an initial data set. The input is skin condition and mental health information, and the output is the initial data set. Specifically, the application inputs information such as "dry skin" and "stress level 8."

[0760] Step 3:

[0761] While the user is using the application, the device uses the camera and microphone to collect facial expressions and voice. This data is sent to the emotion recognition engine, which analyzes the emotional state in real time. The emotion recognition engine then sends the analysis results to the server. The input is the user's facial expressions and voice, and the output is the analyzed emotional state. Specifically, the "Emotion Check" within the application is launched, and emotion recognition is performed.

[0762] Step 4:

[0763] The AI ​​engine built into the server comprehensively analyzes the results of the emotion recognition engine, skin condition, and mental health information. This generates custom advice for each user. The input is emotional state, skin condition, and mental health information, and the output is custom advice. Specifically, it suggests the use of specific moisturizing products and a meditation session based on the information on "high stress level" and "dry skin."

[0764] Step 5:

[0765] The device notifies the user and displays custom advice sent from the server. Every time the user enters new data, the device sends this data to the server. The server re-analyzes the data based on the new data and tracks progress. The input is new user information, and the output is updated custom advice and a progress report. Specifically, the device displays new advice to the user via a push notification.

[0766] Step 6:

[0767] The user accesses the community tab and selects a group of interest. The device sends this selection information to the server, which then adds the user to the corresponding community. The input is the community selection information, and the output is the addition of the user to the community. Specifically, the user selects and joins the "Dry Skin Care" group.

[0768] Step 7:

[0769] After using the app, the user provides feedback. The device sends this feedback to the server, which analyzes it and uses it to improve the system. The input is the user's feedback, and the output is data for system improvement. Specifically, the user enters their thoughts into a feedback form and submits it.

[0770] (Application example 2)

[0771] 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."

[0772] Conventional self-driving vehicles lacked the means to properly monitor the driver's mental health and emotional state, limiting safety improvements and individual support. As a result, there were concerns about the risk of accidents due to sudden stress or fatigue in the driver. In addition, there was a lack of systems that comprehensively support the driver's skin condition and mental state, meaning that total support for the driver was not provided adequately.

[0773] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for providing the user with customized advice and resources generated based on the above information; means for tracking the user's progress and providing comprehensive support based on the analysis results; means for providing an environment where the user can anonymously consult about their skin condition or mental state; means for providing mutual support using a community function with other users who share the same concerns; means for recognizing the user's emotional state while driving in real time and providing customized advice and alerts; and means for analyzing the user's facial expressions and voice to generate data for improving driving safety. This allows the user's stress and fatigue while driving to be monitored in real time and receive the necessary support and advice. Furthermore, comprehensive support is provided for skin condition and mental state, thereby realizing total support for the driver.

[0774] "Custom Advice" means specific advice or recommendations provided based on a User's individual situation or needs.

[0775] "Resources" refers to information, tools, or services that can help support or improve your experience.

[0776] "Users" refers to people who use the system, specifically including drivers.

[0777] "Progress tracking" means continuously tracking and recording changes in a user's condition or behavior.

[0778] "Analysis results" refers to the conclusions and findings obtained from analysis based on collected data.

[0779] "Full support" means providing comprehensive support for users' various needs and problems.

[0780] "Providing an environment" refers to creating conditions that enable users to carry out specific activities or behaviors without any problems.

[0781] "Community function" refers to a mechanism that allows multiple users with the same interests or problems to connect with each other, exchange information, and provide support.

[0782] "Real-time recognition" refers to understanding and processing the content and meaning of data as soon as it is generated.

[0783] An "alert" is a warning or warning that is automatically sent when a specific situation occurs.

[0784] "Generating data" means processing collected information to create new information and insights.

[0785] The present invention provides a system for comprehensively supporting a user's emotional state and mental health, and an embodiment thereof is described in detail below. This system monitors the emotional state of a user (driver) in an autonomous vehicle in real time and provides appropriate customized advice and alerts.

[0786] System configuration

[0787] The system consists of the following main components:

[0788] 1. User registration and basic information entry

[0789] A user installs the Driver Health Monitor application on their smartphone or in-car display and registers. They enter an anonymous username and password, which the device collects and sends to the server. The server generates a user ID and stores it in a database.

[0790] Basic information such as skin condition and mental health is entered, and the device collects this information and sends it to the server, which creates an initial data set and stores it in a database.

[0791] 2. Real-time emotion recognition

[0792] Using cameras and microphones installed inside the vehicle, the vehicle terminal collects the user's facial expressions and voice. This data is sent to the emotion engine and analyzed in real time. Based on the analysis results, the emotion engine determines whether the user is feeling stressed or relaxed.

[0793] 3. Data analysis and custom advice

[0794] The AI ​​engine built into the server comprehensively analyzes the data obtained from the emotion engine along with skin condition and mental health data. Based on the analysis results, it generates personalized, custom advice and alerts and notifies the user via their device. For example, if stress levels are high, it may suggest relaxation meditation, or recommend a specific moisturizing cream to users with dry skin.

[0795] 4. Tracking and ongoing support

[0796] As users regularly use the app and input their latest skin condition and emotional changes, the device sends the new data to the server, which then uses AI to re-analyze the data, track progress, and provide ongoing, up-to-date support.

[0797] 5. Community Features

[0798] Users access the community tab, select groups of interest, and their device sends the selection to the server, which adds the user to the corresponding community, allowing users to share messages, experiences, and support each other.

[0799] 6. Gathering feedback and improving the system

[0800] After using the app, users provide feedback, which their devices send to the server, which analyzes the feedback and uses it to improve the system and continually enhance the user experience.

[0801] Hardware and software used

[0802] Hardware:

[0803] In-car cameras, microphones, autonomous vehicle control systems, smartphones

[0804] software:

[0805] OpenCV: Image analysis library

[0806] DeepFace: Emotion Recognition Library

[0807] Python: a programming language

[0808] Server: Data analysis and storage

[0809] Specific examples

[0810] For example, by inputting the following prompt sentences into the generative AI model, more advanced advice and analysis results can be generated.

[0811] Prompt Sentence Examples

[0812] "If the driver is stressed, suggest music or sound effects to help them relax."

[0813] "If extreme fatigue is detected from the driver's facial expression, issue an alert and generate a message encouraging them to take a break."

[0814] "Provide safety advice for the driver's future driving based on real-time sentiment analysis results."

[0815] In this way, the present invention can improve the safety of autonomous vehicles by monitoring the user's emotional state in real time and providing personalized, customised advice and alerts, while also providing comprehensive mental health support.

[0816] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0817] Step 1:

[0818] A user installs the Driver Health Monitor application on their smartphone or in-car display and registers. The entered anonymous username and password are collected from the device and sent to the server. The server receives this, generates a user ID, and stores it in a database. The input is the username and password, and the output is the generated user ID.

[0819] Step 2:

[0820] The user enters basic information about their skin condition and mental health into the application. The device collects this data and sends it to the server. The server creates an initial dataset based on the received information and stores it in a database. The input is data about skin condition and mental health, and the output is the initial dataset.

[0821] Step 3:

[0822] Cameras and microphones installed inside the vehicle collect the user's facial and voice data in real time. This data is sent to the emotion engine via the device. The emotion engine analyzes the data and recognizes the user's emotional state in real time. The input is facial and voice data, and the output is the analyzed emotional state.

[0823] Step 4:

[0824] The AI ​​engine built into the server comprehensively analyzes the emotional data obtained from the emotion engine, as well as skin condition and mental health data. Based on the analysis results, it generates and notifies users with customized advice and alerts. The input is emotional data and basic data, and the output is customized advice and alerts.

[0825] Step 5:

[0826] Users regularly use the app to input their latest skin condition and emotional changes. The device then sends this new data to the server, which then uses AI to reanalyze the new data, track progress, and provide the latest support. The input is the latest skin condition and emotional data, and the output is the reanalysis results and updated support information.

[0827] Step 6:

[0828] A user accesses the community tab and selects a group of interest. The device sends the selection to the server, which adds the user to the corresponding community. Within the community, users share messages and experiences and provide mutual support. The input is the selection of a community group, and the output is adding the user to the community.

[0829] Step 7:

[0830] Users provide feedback after using the app. The device collects the feedback and sends it to the server. The server analyzes the feedback and uses it to improve the system. The feedback is used to continuously improve the user experience. The input is user feedback, and the output is analysis results and insights for system improvement.

[0831] Add specific examples

[0832] For example, by inputting the following prompt sentence into the generative AI model, more advanced advice and analysis results can be generated.

[0833] Prompt Sentence Examples

[0834] "If the driver is stressed, suggest music or sound effects to help them relax."

[0835] "If extreme fatigue is detected from the driver's facial expression, issue an alert and generate a message encouraging them to take a break."

[0836] "Provide safety advice for the driver's future driving based on real-time sentiment analysis results."

[0837] This system allows users to monitor their stress and fatigue while driving in real time, and provides them with immediate assistance and advice when needed.

[0838] 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.

[0839] 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.

[0840] 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.

[0841] [Third embodiment]

[0842] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0843] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0844] 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).

[0845] 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.

[0846] 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.

[0847] 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).

[0848] 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.

[0849] 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.

[0850] 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.

[0851] 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.

[0852] 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.

[0853] 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."

[0854] The present invention is a system that comprehensively supports a user's skin condition and mental health, and is provided in the following specific manner.

[0855] System configuration

[0856] 1. User Registration

[0857] A user installs the MindView application and creates an anonymous account. At this time, the user enters a username and password for anonymous use, which are collected by the device and sent to the server. The server generates a user ID based on this information and stores it in a database.

[0858] 2. Enter basic information

[0859] Through the application, users input basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.). The device collects this information and sends it to the server, which stores it in a database and creates an initial data set.

[0860] 3. Data analysis and custom advice

[0861] The AI ​​engine built into the server periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Based on the analysis results, it generates customized advice for each user. This includes specific suggestions such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The device notifies and displays this advice to the user.

[0862] Explanation with concrete examples

[0863] Scenario: A user asks for advice about "dry skin" and "stress."

[0864] 1. A user accesses MindView and registers anonymously as "User123." The server generates a user ID and stores basic information.

[0865] 2. The user enters information such as "dry skin" and "high stress." The device collects this information and sends it to the server.

[0866] 3. The server's AI engine performs the analysis and comes to a conclusion, such as "stress may be causing dry skin."

[0867] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques to manage stress." The device displays this custom advice.

[0868] Tracking and ongoing support

[0869] As users regularly use the app and input their latest skin condition and emotional changes, the device sends the new data to the server, which then uses AI to re-analyze the data and track progress, ensuring users receive continuous, up-to-date support.

[0870] Community Features

[0871] Users access the Community tab and select the group they are interested in. The device sends the selection to the server, adding the user to the corresponding community. Here, they can share messages and experiences with other users, providing mutual support.

[0872] Gathering feedback and improving the system

[0873] Users provide feedback after using the app. The device sends this feedback to the server, which analyzes it and uses it to improve the system, ensuring a continuously improving user experience.

[0874] The processing flow will be explained below.

[0875] Step 1:

[0876] A user installs the MindView application and accesses the new registration screen.

[0877] Step 2:

[0878] The user enters a username and password for anonymous use.

[0879] Step 3:

[0880] The terminal receives the entered username and password and sends them to the server.

[0881] Step 4:

[0882] The server stores the username and password in a database and generates a user ID.

[0883] Step 5:

[0884] The server returns the generated user ID to the device, and the user's account is created.

[0885] Step 6:

[0886] The user logs in and enters basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.).

[0887] Step 7:

[0888] The device sends the collected basic information to the server.

[0889] Step 8:

[0890] The server stores the received information in a database to create an initial data set.

[0891] Step 9:

[0892] The server's AI engine retrieves the latest user information from the database.

[0893] Step 10:

[0894] The server analyzes the relationship between skin condition and mental health and generates the analysis results.

[0895] Step 11:

[0896] The server generates custom advice for each user based on the analysis results.

[0897] Step 12:

[0898] The server generates custom advice and sends it to the device.

[0899] Step 13:

[0900] The device receives the custom advice and notifies the user.

[0901] Step 14:

[0902] Users access the app periodically to enter their latest skin condition and emotional changes.

[0903] Step 15:

[0904] The terminal collects the updated information and sends it to the server.

[0905] Step 16:

[0906] The server's AI engine reanalyzes the data, including the new data, and tracks progress.

[0907] Step 17:

[0908] The server generates new custom advice based on the progress and analysis results.

[0909] Step 18:

[0910] The server sends the new custom advice to the device.

[0911] Step 19:

[0912] The device will receive new custom advice and notify the user.

[0913] Step 20:

[0914] A user visits the Community tab and selects a group of topics that interest them.

[0915] Step 21:

[0916] The device sends the user's selection to the server.

[0917] Step 22:

[0918] The server adds users to communities of interest and connects them with other users.

[0919] Step 23:

[0920] Users can exchange messages with other users in the community and share information and experiences.

[0921] Step 24:

[0922] Users provide feedback after using the application.

[0923] Step 25:

[0924] The device sends the feedback to the server.

[0925] Step 26:

[0926] The server analyzes the feedback and uses it to improve the system.

[0927] Example 1

[0928] 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."

[0929] Conventional support systems for skin conditions and mental health require individualized responses, such as face-to-face counseling, and lack anonymity and ease of use. Furthermore, many systems only provide one-time advice based on user input, making ongoing follow-up difficult. Furthermore, there is often a lack of communication between users, and no environment for mutual support is provided.

[0930] 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.

[0931] In this invention, the server includes: means for a user to anonymously create an account and input basic information; means for a terminal to collect the user's input information and send it to the server; means for the server to store the received information in a database and generate a user ID; means for analyzing the collected data using an AI engine and generating custom advice; means for the terminal to notify and display the custom advice to the user; means for tracking the user's progress and periodically reanalyzing the data; means for users to access communities of interest and provide an environment for mutual support; and means for collecting and analyzing feedback from users to help improve the system. This allows users to easily seek advice anonymously and receive ongoing support and advice, ensuring optimal care at all times, while also enabling them to obtain further support through interactions with other users.

[0932] "User" refers to an individual who uses the system, creates an account anonymously, and provides information about their skin condition and mental health.

[0933] A "terminal" refers to a device used by a user, and is a device that collects input information from a smartphone, tablet, etc. and sends it to a server.

[0934] The "server" is a central computer that manages and operates the entire system, receives information sent by users, stores it in a database, and analyzes and generates advice.

[0935] "Database" refers to an electronic storage device for storing user information and analysis results, and is managed by a server.

[0936] An "AI engine" is a program that uses artificial intelligence technology to analyze data collected from users and generate custom advice.

[0937] "Custom advice" refers to specific suggestions and recommendations provided to individual users based on the results of analysis by the AI ​​engine.

[0938] "Tracking" refers to the process of continuously collecting, analyzing, and recording a user's progress and latest data.

[0939] A "community" is an online group where multiple users with the same concerns or interests can join to support each other and share information.

[0940] "Feedback" refers to information provided by users after using the system regarding their experience and areas for improvement, which can be used to improve the system.

[0941] The present invention is a system that comprehensively supports the user's skin condition and mental health. The configuration and operation of the system are described below, along with the specific names of the hardware and software used.

[0942] System configuration

[0943] 1. User Registration

[0944] Users must install the MindView application on their smartphones, tablets, or other devices and create an anonymous account. When creating an account, users enter a username and password for anonymous use, and the device collects this information and sends it to the server. The server then generates a user ID based on the information and stores it in a database.

[0945] 2. Enter basic information

[0946] Through the application, users input basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.). The device collects this information and sends it to the server, which stores it in a database and creates an initial data set.

[0947] 3. Data analysis and custom advice

[0948] The server's built-in AI engine (e.g., TensorFlow, PyTorch) periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Based on the analysis results, it generates personalized, custom advice. The advice includes specific suggestions such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The device notifies and displays this custom advice to the user.

[0949] 4. Tracking and ongoing support

[0950] Each time a user uses the app regularly and inputs their latest skin condition and emotional changes, the device sends the new data to the server, which then re-analyzes this data using an AI engine to track the user's progress, ensuring that the user receives continuous, up-to-date support.

[0951] 5. Community Features

[0952] A user accesses the community tab and selects a group they are interested in. The device sends the selected group information to the server, which then adds the user to the corresponding community. This provides an environment where users can share messages and experiences with other users and support each other.

[0953] 6. Gathering feedback and improving the system

[0954] Users provide feedback after using the app. The device collects this feedback and sends it to the server. The server analyzes the feedback and uses it to improve the system, ensuring a continuously improving user experience.

[0955] Explanation with concrete examples

[0956] For example, consider the case where a user asks for advice about "dry skin" and "stress."

[0957] 1. A user installs the MindView app and registers anonymously as "User123." The server generates a user ID and stores basic information.

[0958] 2. The user enters the information that they have "dry skin" and "high stress," and the device collects this information and sends it to the server.

[0959] 3. The server's AI engine analyzes the data and concludes that "stress may be causing dry skin."

[0960] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques for stress management." The device displays this custom advice.

[0961] Prompt Sentence Examples

[0962] Below are some examples of prompts used in generative AI models:

[0963] "Please give me some advice on how stress affects dry skin."

[0964] "How can I balance acne prevention with my mental health?"

[0965] "Please suggest some effective relaxation techniques for stress management."

[0966] As described above, the present invention collects data on the user's skin condition and mental health, analyzes it using an AI engine, and provides individually customized advice, thereby continuously providing optimal support to the user.

[0967] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0968] Step 1: User Registration

[0969] A user installs an application on a device such as a smartphone or tablet and creates an account. Specifically, the user enters a username and password, and the device collects this information and sends it to the server. The server generates a user ID based on the received username and password and stores it in a database. The input here is the username and password, and the output is the generated user ID.

[0970] Step 2: Enter basic information

[0971] Through the application, users input basic information about their skin condition and mental health, including skin dryness, acne, stress level, and sleep duration. The device collects this information and sends it to a server. The server stores the received information in a database and creates an initial dataset. The input here is skin condition and mental health information, and the output is the initial dataset.

[0972] Step 3: Analyze data and generate custom advice

[0973] The server's AI engine retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Specifically, it analyzes the collected data using statistical and machine learning algorithms to generate custom advice for each user. For example, specific advice might include "using a specific moisturizing cream for dry skin" or "trying yoga to reduce stress." The input here is the latest user information, and the output is custom advice.

[0974] Step 4: Notification of custom advice

[0975] The terminal notifies the user of the custom advice received from the server and displays it. The user receives the notification and confirms the advice. The input here is the custom advice from the server, and the output is the advice displayed to the user.

[0976] Step 5: Tracking and ongoing support

[0977] Users regularly use the app to input their latest skin condition and emotional changes. The device collects this new information and sends it to the server. The server then uses an AI engine to reanalyze the new data and track progress. This allows users to receive optimal support on an ongoing basis. The input here is the user's new information, and the output is tracked progress.

[0978] Step 6: Community Features

[0979] A user accesses the community tab and selects a group of interest. The device sends the user's selection to the server. The server adds the user to the corresponding community, providing an environment where users can share messages and experiences and support each other. The input here is the user's group selection, and the output is the added community.

[0980] Step 7: Gather feedback and improve the system

[0981] Users provide feedback after using the app. The device collects this feedback and sends it to the server. The server analyzes the feedback and uses it to improve the system, thereby continuously improving the user experience. The input here is user feedback, and the output is an improved system.

[0982] (Application example 1)

[0983] 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."

[0984] Many people today are concerned about skin problems and mental health, and there is a need for a comprehensive support system to improve these conditions. However, current systems lack an environment where users can seek advice anonymously, a community where users can share support with other users who have the same concerns, or a mechanism for sharing information with medical staff to provide specific advice. In particular, there is no system specialized in providing support for medical treatment at beauty clinics, which poses a challenge for users, as they are unable to receive sufficient support.

[0985] 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.

[0986] In this invention, the server includes: means for providing users with custom advice and resources generated based on the information; means for tracking the user's progress and providing total support based on the analysis results; means for providing an environment where the user can anonymously consult about their skin condition or mental state; means for providing mutual support using a community function with other users who have the same concerns; means for applying the information to medical support at a beauty clinic and sharing the information with medical staff; and means for analyzing the information using AI technology during treatment at the beauty clinic and providing specific advice to medical staff. This enables users to anonymously consult about their skin condition or mental health and receive specific advice from medical staff.

[0987] "Information" refers to data collected from users about their skin condition and mental health status.

[0988] "Custom Advice" is specific advice generated based on the analysis of a user's individual skin condition and mental health.

[0989] "Resources" are information about products and services to improve a user's skin condition or mental health.

[0990] "Progress" is data about changes in skin condition and mental health reported by users.

[0991] "Total Support" is a series of suggestions and guides to comprehensively support users' skin condition and mental health.

[0992] "Anonymous" means that users can report their skin condition or mental health status without being identified.

[0993] The "community function" allows users with the same concerns to share information and experiences and provide mutual support.

[0994] A "beauty clinic" is a medical institution that provides consultations and treatments related to users' skin conditions and beauty.

[0995] "Clinical support" refers to providing support to medical staff to enable them to provide medical care more effectively and efficiently.

[0996] "AI technology" refers to artificial intelligence technology used to analyze a user's skin condition and mental health data and generate custom advice.

[0997] "Medical staff" are professionals who provide medical treatment and counseling to users at medical institutions such as beauty clinics.

[0998] This invention is a system that supports beauty clinics by providing comprehensive support for users' skin condition and mental health. Users anonymously input their skin condition and mental health status, which is then analyzed using AI technology and customized advice is provided.

[0999] System configuration

[1000] 1. User Registration

[1001] The user installs the "Support App" and creates an anonymous account. At this time, the user enters a username and password for anonymous use, which the device collects and sends to the server. The server generates a user ID based on this information and stores it in a database.

[1002] 2. Enter basic information

[1003] Through the application, users input basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.). The device collects this information and sends it to the server, which stores it in a database and creates an initial data set.

[1004] 3. Data analysis and custom advice

[1005] The AI ​​engine built into the server periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Based on the analysis results, it generates customized advice for each user. This includes specific suggestions such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The device notifies the user of this advice and displays it to them.

[1006] 4. Medical support at beauty clinics

[1007] When users visit a beauty clinic for a consultation, they use the app to share information about their skin condition and mental health with medical staff. The server then sends the information to a device at the beauty clinic, and medical staff use that information to conduct their consultation. The server's AI technology analyzes the information and provides specific medical advice.

[1008] Explanation with concrete examples

[1009] Scenario: A user wants to consult about "dry skin" and "stress."

[1010] 1. A user accesses the "Support App" and registers anonymously as "User123." The server generates a user ID and stores basic information.

[1011] 2. The user inputs information such as "dry skin" and "high stress." The device collects this information and sends it to the server.

[1012] 3. The server's AI engine performs the analysis and comes to a conclusion, such as "stress may be causing dry skin."

[1013] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques for stress management." The device displays this custom advice.

[1014] Prompt Sentence Examples

[1015] "Username: User456 Skin condition: Dry Mental health: High stress"

[1016] Hardware and software used

[1017] The server runs on a cloud-based infrastructure (e.g., AWS or Google Cloud) and uses frameworks such as TensorFlow or PyTorch as its AI engine. The device refers to the user's smartphone or tablet, and the application runs on the Android or iOS platform. The server and device communicate via a REST API to send and receive user data.

[1018] This will strengthen medical support at beauty clinics and create a system that allows users to anonymously consult about their skin condition and mental health.

[1019] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1020] Step 1:

[1021] A user installs the "Support App" and creates an anonymous account. The user enters a username and password for anonymous use. The entered information is sent from the device to the server. The server generates a user ID based on the received information and stores this information in a database. The output of this storage process is a new user ID.

[1022] Step 2:

[1023] Through the application, the user inputs basic information about their skin condition and mental health, such as dry skin, acne, stress level, and sleep duration. This information is collected on the device and sent to the server, which stores the information in a database and creates an initial data set. The output of this process is the initial data stored in the database.

[1024] Step 3:

[1025] An AI engine built into the server periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. A model is generated based on data about the user's skin condition and mental health, and the data is analyzed using generative AI. Based on the analysis results, specific custom advice is generated, such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The output of this analysis process is custom advice.

[1026] Step 4:

[1027] The server sends the generated custom advice to the terminal, and the terminal notifies the user. The user can check the advice through the terminal. The input of this notification process is the generated custom advice, and the output is the advice displayed on the user terminal.

[1028] Step 5:

[1029] When a user visits a beauty clinic for a consultation, they use an application to share information with medical staff. The information shared includes skin condition and mental health data entered by the user. The server sends this information to a terminal at the beauty clinic. The input of this information sharing process is the user's skin condition and mental health information, and the output is the information displayed on the terminal of the medical staff.

[1030] Step 6:

[1031] The server's AI technology analyzes data during consultations at beauty clinics and provides specific medical advice to medical staff. For example, it suggests specific treatments for dry skin. The server retrieves user information from a database and performs analysis using an AI model. The input to this analysis process is the user's data, and the output is specific medical advice based on the analysis results.

[1032] Example prompt sentence:

[1033] "Username: User456 Skin condition: Dry Mental health: High stress"

[1034] 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.

[1035] This invention combines a system that comprehensively supports the user's skin condition and mental health with an emotion engine that recognizes the user's emotional state, thereby providing more personalized custom advice.

[1036] System configuration

[1037] 1. User Registration

[1038] A user installs the MindView application and accesses the new registration screen. They enter a username and password for anonymous use, which the device collects and sends to the server. The server generates a user ID based on this information and stores it in a database.

[1039] 2. Enter basic information

[1040] Through the application, users input basic information about their skin condition and mental health. The device collects this information and sends it to a server, which stores it in a database and creates an initial data set.

[1041] 3. Emotion Recognition by Emotion Engine

[1042] While a user is using an application, the emotion engine analyzes the user's facial expressions, voice, text input, etc. to recognize their emotional state. For example, the device uses a camera or microphone to collect the user's facial expressions and voice and transmits them to the emotion engine. The emotion engine analyzes this data to determine whether the user is feeling stressed or relaxed.

[1043] 4. Data analysis and custom advice

[1044] The AI ​​engine built into the server comprehensively analyzes the emotional data obtained from the emotion engine, as well as skin condition and mental health data. Based on the analysis results, it generates customized advice for each user. For example, it might suggest relaxation meditation for a user experiencing high stress, or recommend a specific moisturizing cream for a user with dry skin. The device notifies and displays this advice to the user.

[1045] Explanation with concrete examples

[1046] Scenario: A user asks for advice about "dry skin" and "stress."

[1047] 1. A user accesses MindView and registers anonymously as "User123." The server generates a user ID and stores basic information.

[1048] 2. The user enters information such as "dry skin" and "high stress." The device collects this information and sends it to the server.

[1049] 3. The server's AI engine and emotion engine jointly analyze the data and reach a conclusion, such as "stress may be causing dry skin."

[1050] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques to manage stress." The device displays this custom advice.

[1051] 5. The emotion engine analyzes the user's facial and vocal data, and if it determines that the emotional state is stressful, the advice is further personalized according to the emotional state.

[1052] Tracking and ongoing support

[1053] As users regularly use the app and input their latest skin condition and emotional changes, the device sends the new data to the server, which then uses AI to re-analyze the data and track progress, ensuring users receive continuous, up-to-date support.

[1054] Community Features

[1055] Users access the Community tab and select the group they are interested in. The device sends the selection to the server, adding the user to the corresponding community. Here, they can share messages and experiences with other users, providing mutual support.

[1056] Gathering feedback and improving the system

[1057] Users provide feedback after using the app. The device sends this feedback to the server, which analyzes it and uses it to improve the system, ensuring a continuously improving user experience.

[1058] In this way, by using an emotion engine that recognizes the user's emotional state, the present invention can provide more personalized custom advice and realize a system that comprehensively supports the user's skin and mental health.

[1059] The processing flow will be explained below.

[1060] Step 1:

[1061] A user installs the MindView application and accesses the new registration screen.

[1062] Step 2:

[1063] The user enters a username and password for anonymous use.

[1064] Step 3:

[1065] The terminal receives the entered username and password and sends them to the server.

[1066] Step 4:

[1067] The server stores the username and password in a database and generates a user ID.

[1068] Step 5:

[1069] The server returns the generated user ID to the device, and the user's account is created.

[1070] Step 6:

[1071] The user logs in and enters basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.).

[1072] Step 7:

[1073] The device sends the collected basic information to the server.

[1074] Step 8:

[1075] The server stores the received information in a database to create an initial data set.

[1076] Step 9:

[1077] The user inputs their facial expressions, voice, and text while using the application.

[1078] Step 10:

[1079] The device sends the user's facial expressions, voice, and text to the emotion engine.

[1080] Step 11:

[1081] The server's emotion engine analyzes the received data and recognizes the user's emotional state (e.g., stress, joy, sadness).

[1082] Step 12:

[1083] The server's AI engine retrieves the latest user information and the emotion engine's analysis results from the database.

[1084] Step 13:

[1085] The server comprehensively analyzes the user's skin condition, mental health, and emotional state and generates the analysis results.

[1086] Step 14:

[1087] Based on the analysis results, the server generates custom advice for each user (e.g., recommending the use of moisturizing cream or relaxation techniques).

[1088] Step 15:

[1089] The server generates custom advice and sends it to the device.

[1090] Step 16:

[1091] The device receives the custom advice and notifies the user.

[1092] Step 17:

[1093] The user checks the advice and puts it into practice.

[1094] Step 18:

[1095] Users use the app regularly to input their latest skin condition and emotional changes.

[1096] Step 19:

[1097] The terminal collects the updated information and sends it to the server.

[1098] Step 20:

[1099] The server's AI engine reanalyzes the data, including the new data, and tracks progress.

[1100] Step 21:

[1101] The server generates new custom advice based on the progress and analysis results.

[1102] Step 22:

[1103] The server sends the new custom advice to the device.

[1104] Step 23:

[1105] The device will receive new custom advice and notify the user.

[1106] Step 24:

[1107] A user visits the Community tab and selects a group of topics that interest them.

[1108] Step 25:

[1109] The device sends the user's selection to the server.

[1110] Step 26:

[1111] The server adds users to communities of interest and connects them with other users.

[1112] Step 27:

[1113] Users can exchange messages with other users in the community and share information and experiences.

[1114] Step 28:

[1115] Users provide feedback after using the application.

[1116] Step 29:

[1117] The device sends the feedback to the server.

[1118] Step 30:

[1119] The server analyzes the feedback and uses it to improve the system.

[1120] Example 2

[1121] 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."

[1122] While many existing health management systems collect basic information about a user's skin and mental health and provide general advice, few systems analyze the user's emotional state and provide personalized, custom advice based on that information. Furthermore, they lack comprehensive support that integrates progress tracking and community features with other users. This makes it difficult to provide support tailored to the individual needs and circumstances of each user, making it difficult to achieve optimal health management.

[1123] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1124] In this invention, the server includes emotion recognition means for recognizing the emotional state of a user in real time using facial expressions and voice, means including an AI engine for integrating and analyzing the emotional state data with skin and mental health information to generate customized advice, and means for further personalizing the generated customized advice based on the user's emotional state, thereby enabling more personalized comprehensive health support that takes the user's emotional state into consideration.

[1125] "Users" are ordinary users who use this system to manage their skin and mental health conditions.

[1126] "Facial expression" refers to the movements and expressions of the user's face, and is data that is analyzed in real time by emotion recognition means.

[1127] "Voice" refers to the voice data uttered by the user, which is also analyzed in real time by the emotion recognition means.

[1128] The "emotional state" refers to the classification and intensity of the emotion the user is feeling, and is identified by emotion recognition means from data such as facial expressions and voice.

[1129] The "emotion recognition means" is a hardware and software component for identifying the user's emotional state in real time from their facial expressions and voice.

[1130] "Skin condition" refers to the health condition of the user's skin (e.g., dryness, oiliness, wrinkles, etc.), and is data collected by the basic information input means.

[1131] "Mental health information" refers to the user's mental health status (e.g., stress level, mood, etc.), and is data collected by the basic information input means.

[1132] The "AI engine" is an algorithm and software component that comprehensively analyzes collected data (emotional state, skin condition, mental health information) and generates custom advice.

[1133] "Custom Advice" is specific advice or resources generated and provided to a user based on the user's individual data (emotional state, skin condition, mental health information).

[1134] "Progress tracking" is a means of recording and analyzing changes in a user's condition and activity, and providing ongoing support.

[1135] The "community function" is a function that allows multiple users of the system to share information with each other and support each other.

[1136] MODE FOR CARRYING OUT THE INVENTION

[1137] The present invention combines an emotion engine with a system that comprehensively supports users' skin condition and mental health. The system provides an environment where users can seek advice anonymously, tracks their progress, and enables mutual support with other users through a community function. An embodiment of this system is described in detail below.

[1138] 1. System Configuration

[1139] The hardware used includes the user's device (smartphone, tablet, computer, etc.). The device is equipped with a camera and microphone, which are used to collect the user's facial expressions and voice in real time. The device must also be connected to the Internet.

[1140] The software used includes an emotion recognition engine and an AI engine. The emotion recognition engine analyzes the user's facial expressions and voice to identify their emotional state. The AI ​​engine comprehensively analyzes their emotional state, skin condition, and mental health information to generate custom advice.

[1141] 2. User registration and basic information entry

[1142] A user installs the application and enters their username and password on the registration screen. The device collects this information and sends it to the server. The server generates a user ID and stores it in the database.

[1143] The user then enters information about their skin condition and mental health, which the device collects and sends to a server, which receives the information, stores it in a database, and creates an initial data set.

[1144] 3. Emotion Recognition and Data Analysis

[1145] While a user is using an application, the device uses a camera and microphone to collect facial expressions and voice. The collected data is sent to an emotion recognition engine and analyzed in real time. The emotion recognition engine identifies the emotion the user is feeling (e.g., stress, relaxation).

[1146] The emotional data is sent to a server and integrated with the user's skin condition and mental health information. The server's AI engine analyzes this data and generates custom advice that is tailored to the user. The advice is then further personalized based on the user's emotional state.

[1147] Examples:

[1148] For example, if a user inputs information such as "high stress level" or "dry skin," the AI ​​engine will suggest "using specific moisturizing products" and "meditation sessions to reduce stress."

[1149] 4. Custom Advice and Progress Tracking

[1150] The device notifies the user and displays custom advice sent by the server. The user periodically enters new data, which the device collects and sends to the server, which uses this data to track progress and update advice as needed.

[1151] 5. Community Features

[1152] A user accesses the Community tab and selects the group they are interested in. The device sends this selection to the server, adding the user to the corresponding community, where they can share information with other users and provide mutual support.

[1153] 6. Gathering Feedback

[1154] After using the app, users provide feedback, which is then sent to the server, where it is analyzed and used to improve the system.

[1155] Prompt Sentence Examples

[1156] For example, suppose a user enters the following prompt:

[1157] "Can you give me some advice on dry skin and stress relief? Can you recommend any specific products or techniques?"

[1158] This allows users to receive specific advice from the system and use it to help with daily health management.

[1159] The above is a specific embodiment of the present invention. The system analyzes the user's emotional state and provides customized advice based on that analysis, providing comprehensive support for skin and mental health.

[1160] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1161] Step 1:

[1162] A user installs the application and accesses the new registration screen. When the user enters their username and password, the device collects this information. The collected information is sent to the server, which generates a user ID. The generated user ID is saved in the database. The input is the username and password, and the output is the user ID. Specifically, the user enters the username and password "ExampleUser" and clicks the register button.

[1163] Step 2:

[1164] The user inputs information about their skin condition and mental health through the application. The device collects this information and sends it to the server. The server stores the received information in a database and creates an initial data set. The input is skin condition and mental health information, and the output is the initial data set. Specifically, the application inputs information such as "dry skin" and "stress level 8."

[1165] Step 3:

[1166] While the user is using the application, the device uses the camera and microphone to collect facial expressions and voice. This data is sent to the emotion recognition engine, which analyzes the emotional state in real time. The emotion recognition engine then sends the analysis results to the server. The input is the user's facial expressions and voice, and the output is the analyzed emotional state. Specifically, the "Emotion Check" within the application is launched, and emotion recognition is performed.

[1167] Step 4:

[1168] The AI ​​engine built into the server comprehensively analyzes the results of the emotion recognition engine, skin condition, and mental health information. This generates custom advice for each user. The input is emotional state, skin condition, and mental health information, and the output is custom advice. Specifically, it suggests the use of specific moisturizing products and a meditation session based on the information on "high stress level" and "dry skin."

[1169] Step 5:

[1170] The device notifies the user and displays custom advice sent from the server. Every time the user enters new data, the device sends this data to the server. The server re-analyzes the data based on the new data and tracks progress. The input is new user information, and the output is updated custom advice and a progress report. Specifically, the device displays new advice to the user via a push notification.

[1171] Step 6:

[1172] The user accesses the community tab and selects a group of interest. The device sends this selection information to the server, which then adds the user to the corresponding community. The input is the community selection information, and the output is the addition of the user to the community. Specifically, the user selects and joins the "Dry Skin Care" group.

[1173] Step 7:

[1174] After using the app, the user provides feedback. The device sends this feedback to the server, which analyzes it and uses it to improve the system. The input is the user's feedback, and the output is data for system improvement. Specifically, the user enters their thoughts into a feedback form and submits it.

[1175] (Application example 2)

[1176] 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."

[1177] Conventional self-driving vehicles lacked the means to properly monitor the driver's mental health and emotional state, limiting safety improvements and individual support. As a result, there were concerns about the risk of accidents due to sudden stress or fatigue in the driver. In addition, there was a lack of systems that comprehensively support the driver's skin condition and mental state, meaning that total support for the driver was not provided adequately.

[1178] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for providing the user with customized advice and resources generated based on the above information; means for tracking the user's progress and providing comprehensive support based on the analysis results; means for providing an environment where the user can anonymously consult about their skin condition or mental state; means for providing mutual support using a community function with other users who share the same concerns; means for recognizing the user's emotional state while driving in real time and providing customized advice and alerts; and means for analyzing the user's facial expressions and voice to generate data for improving driving safety. This allows the user's stress and fatigue while driving to be monitored in real time and receive the necessary support and advice. Furthermore, comprehensive support is provided for skin condition and mental state, thereby realizing total support for the driver.

[1179] "Custom Advice" means specific advice or recommendations provided based on a User's individual situation or needs.

[1180] "Resources" refers to information, tools, or services that can help support or improve your experience.

[1181] "Users" refers to people who use the system, specifically including drivers.

[1182] "Progress tracking" means continuously tracking and recording changes in a user's condition or behavior.

[1183] "Analysis results" refers to the conclusions and findings obtained from analysis based on collected data.

[1184] "Full support" means providing comprehensive support for users' various needs and problems.

[1185] "Providing an environment" refers to creating conditions that enable users to carry out specific activities or behaviors without any problems.

[1186] "Community function" refers to a mechanism that allows multiple users with the same interests or problems to connect with each other, exchange information, and provide support.

[1187] "Real-time recognition" refers to understanding and processing the content and meaning of data as soon as it is generated.

[1188] An "alert" is a warning or warning that is automatically sent when a specific situation occurs.

[1189] "Generating data" means processing collected information to create new information and insights.

[1190] The present invention provides a system for comprehensively supporting a user's emotional state and mental health, and an embodiment thereof is described in detail below. This system monitors the emotional state of a user (driver) in an autonomous vehicle in real time and provides appropriate customized advice and alerts.

[1191] System configuration

[1192] The system consists of the following main components:

[1193] 1. User registration and basic information entry

[1194] A user installs the Driver Health Monitor application on their smartphone or in-car display and registers. They enter an anonymous username and password, which the device collects and sends to the server. The server generates a user ID and stores it in a database.

[1195] Basic information such as skin condition and mental health is entered, and the device collects this information and sends it to the server, which creates an initial data set and stores it in a database.

[1196] 2. Real-time emotion recognition

[1197] Using cameras and microphones installed inside the vehicle, the vehicle terminal collects the user's facial expressions and voice. This data is sent to the emotion engine and analyzed in real time. Based on the analysis results, the emotion engine determines whether the user is feeling stressed or relaxed.

[1198] 3. Data analysis and custom advice

[1199] The AI ​​engine built into the server comprehensively analyzes the data obtained from the emotion engine along with skin condition and mental health data. Based on the analysis results, it generates personalized, custom advice and alerts and notifies the user via their device. For example, if stress levels are high, it may suggest relaxation meditation, or recommend a specific moisturizing cream to users with dry skin.

[1200] 4. Tracking and ongoing support

[1201] As users regularly use the app and input their latest skin condition and emotional changes, the device sends the new data to the server, which then uses AI to re-analyze the data, track progress, and provide ongoing, up-to-date support.

[1202] 5. Community Features

[1203] Users access the community tab, select groups of interest, and their device sends the selection to the server, which adds the user to the corresponding community, allowing users to share messages, experiences, and support each other.

[1204] 6. Gathering feedback and improving the system

[1205] After using the app, users provide feedback, which their devices send to the server, which analyzes the feedback and uses it to improve the system and continually enhance the user experience.

[1206] Hardware and software used

[1207] Hardware:

[1208] In-car cameras, microphones, autonomous vehicle control systems, smartphones

[1209] software:

[1210] OpenCV: Image analysis library

[1211] DeepFace: Emotion Recognition Library

[1212] Python: a programming language

[1213] Server: Data analysis and storage

[1214] Specific examples

[1215] For example, by inputting the following prompt sentences into the generative AI model, more advanced advice and analysis results can be generated.

[1216] Prompt Sentence Examples

[1217] "If the driver is stressed, suggest music or sound effects to help them relax."

[1218] "If extreme fatigue is detected from the driver's facial expression, issue an alert and generate a message encouraging them to take a break."

[1219] "Provide safety advice for the driver's future driving based on real-time sentiment analysis results."

[1220] In this way, the present invention can improve the safety of autonomous vehicles by monitoring the user's emotional state in real time and providing personalized, customised advice and alerts, while also providing comprehensive mental health support.

[1221] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1222] Step 1:

[1223] A user installs the Driver Health Monitor application on their smartphone or in-car display and registers. The entered anonymous username and password are collected from the device and sent to the server. The server receives this, generates a user ID, and stores it in a database. The input is the username and password, and the output is the generated user ID.

[1224] Step 2:

[1225] The user enters basic information about their skin condition and mental health into the application. The device collects this data and sends it to the server. The server creates an initial dataset based on the received information and stores it in a database. The input is data about skin condition and mental health, and the output is the initial dataset.

[1226] Step 3:

[1227] Cameras and microphones installed inside the vehicle collect the user's facial and voice data in real time. This data is sent to the emotion engine via the device. The emotion engine analyzes the data and recognizes the user's emotional state in real time. The input is facial and voice data, and the output is the analyzed emotional state.

[1228] Step 4:

[1229] The AI ​​engine built into the server comprehensively analyzes the emotional data obtained from the emotion engine, as well as skin condition and mental health data. Based on the analysis results, it generates and notifies users with customized advice and alerts. The input is emotional data and basic data, and the output is customized advice and alerts.

[1230] Step 5:

[1231] Users regularly use the app to input their latest skin condition and emotional changes. The device then sends this new data to the server, which then uses AI to reanalyze the new data, track progress, and provide the latest support. The input is the latest skin condition and emotional data, and the output is the reanalysis results and updated support information.

[1232] Step 6:

[1233] A user accesses the community tab and selects a group of interest. The device sends the selection to the server, which adds the user to the corresponding community. Within the community, users share messages and experiences and provide mutual support. The input is the selection of a community group, and the output is adding the user to the community.

[1234] Step 7:

[1235] Users provide feedback after using the app. The device collects the feedback and sends it to the server. The server analyzes the feedback and uses it to improve the system. The feedback is used to continuously improve the user experience. The input is user feedback, and the output is analysis results and insights for system improvement.

[1236] Add specific examples

[1237] For example, by inputting the following prompt sentence into the generative AI model, more advanced advice and analysis results can be generated.

[1238] Prompt Sentence Examples

[1239] "If the driver is stressed, suggest music or sound effects to help them relax."

[1240] "If extreme fatigue is detected from the driver's facial expression, issue an alert and generate a message encouraging them to take a break."

[1241] "Provide safety advice for the driver's future driving based on real-time sentiment analysis results."

[1242] This system allows users to monitor their stress and fatigue while driving in real time, and provides them with immediate assistance and advice when needed.

[1243] 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.

[1244] 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.

[1245] 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.

[1246] [Fourth embodiment]

[1247] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1248] 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.

[1249] 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).

[1250] 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.

[1251] 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.

[1252] 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).

[1253] 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.

[1254] 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.

[1255] 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.

[1256] 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.

[1257] 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.

[1258] 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.

[1259] 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."

[1260] The present invention is a system that comprehensively supports a user's skin condition and mental health, and is provided in the following specific manner.

[1261] System configuration

[1262] 1. User Registration

[1263] A user installs the MindView application and creates an anonymous account. At this time, the user enters a username and password for anonymous use, which are collected by the device and sent to the server. The server generates a user ID based on this information and stores it in a database.

[1264] 2. Enter basic information

[1265] Through the application, users input basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.). The device collects this information and sends it to the server, which stores it in a database and creates an initial data set.

[1266] 3. Data analysis and custom advice

[1267] The AI ​​engine built into the server periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Based on the analysis results, it generates customized advice for each user. This includes specific suggestions such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The device notifies and displays this advice to the user.

[1268] Explanation with concrete examples

[1269] Scenario: A user asks for advice about "dry skin" and "stress."

[1270] 1. A user accesses MindView and registers anonymously as "User123." The server generates a user ID and stores basic information.

[1271] 2. The user enters information such as "dry skin" and "high stress." The device collects this information and sends it to the server.

[1272] 3. The server's AI engine performs the analysis and comes to a conclusion, such as "stress may be causing dry skin."

[1273] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques to manage stress." The device displays this custom advice.

[1274] Tracking and ongoing support

[1275] As users regularly use the app and input their latest skin condition and emotional changes, the device sends the new data to the server, which then uses AI to re-analyze the data and track progress, ensuring users receive continuous, up-to-date support.

[1276] Community Features

[1277] Users access the Community tab and select the group they are interested in. The device sends the selection to the server, adding the user to the corresponding community. Here, they can share messages and experiences with other users, providing mutual support.

[1278] Gathering feedback and improving the system

[1279] Users provide feedback after using the app. The device sends this feedback to the server, which analyzes it and uses it to improve the system, ensuring a continuously improving user experience.

[1280] The processing flow will be explained below.

[1281] Step 1:

[1282] A user installs the MindView application and accesses the new registration screen.

[1283] Step 2:

[1284] The user enters a username and password for anonymous use.

[1285] Step 3:

[1286] The terminal receives the entered username and password and sends them to the server.

[1287] Step 4:

[1288] The server stores the username and password in a database and generates a user ID.

[1289] Step 5:

[1290] The server returns the generated user ID to the device, and the user's account is created.

[1291] Step 6:

[1292] The user logs in and enters basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.).

[1293] Step 7:

[1294] The device sends the collected basic information to the server.

[1295] Step 8:

[1296] The server stores the received information in a database to create an initial data set.

[1297] Step 9:

[1298] The server's AI engine retrieves the latest user information from the database.

[1299] Step 10:

[1300] The server analyzes the relationship between skin condition and mental health and generates the analysis results.

[1301] Step 11:

[1302] The server generates custom advice for each user based on the analysis results.

[1303] Step 12:

[1304] The server generates custom advice and sends it to the device.

[1305] Step 13:

[1306] The device receives the custom advice and notifies the user.

[1307] Step 14:

[1308] Users access the app periodically to enter their latest skin condition and emotional changes.

[1309] Step 15:

[1310] The terminal collects the updated information and sends it to the server.

[1311] Step 16:

[1312] The server's AI engine reanalyzes the data, including the new data, and tracks progress.

[1313] Step 17:

[1314] The server generates new custom advice based on the progress and analysis results.

[1315] Step 18:

[1316] The server sends the new custom advice to the device.

[1317] Step 19:

[1318] The device will receive new custom advice and notify the user.

[1319] Step 20:

[1320] A user visits the Community tab and selects a group of topics that interest them.

[1321] Step 21:

[1322] The device sends the user's selection to the server.

[1323] Step 22:

[1324] The server adds users to communities of interest and connects them with other users.

[1325] Step 23:

[1326] Users can exchange messages with other users in the community and share information and experiences.

[1327] Step 24:

[1328] Users provide feedback after using the application.

[1329] Step 25:

[1330] The device sends the feedback to the server.

[1331] Step 26:

[1332] The server analyzes the feedback and uses it to improve the system.

[1333] Example 1

[1334] 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."

[1335] Conventional support systems for skin conditions and mental health require individualized responses, such as face-to-face counseling, and lack anonymity and ease of use. Furthermore, many systems only provide one-time advice based on user input, making ongoing follow-up difficult. Furthermore, there is often a lack of communication between users, and no environment for mutual support is provided.

[1336] 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.

[1337] In this invention, the server includes: means for a user to anonymously create an account and input basic information; means for a terminal to collect the user's input information and send it to the server; means for the server to store the received information in a database and generate a user ID; means for analyzing the collected data using an AI engine and generating custom advice; means for the terminal to notify and display the custom advice to the user; means for tracking the user's progress and periodically reanalyzing the data; means for users to access communities of interest and provide an environment for mutual support; and means for collecting and analyzing feedback from users to help improve the system. This allows users to easily seek advice anonymously and receive ongoing support and advice, ensuring optimal care at all times, while also enabling them to obtain further support through interactions with other users.

[1338] "User" refers to an individual who uses the system, creates an account anonymously, and provides information about their skin condition and mental health.

[1339] A "terminal" refers to a device used by a user, and is a device that collects input information from a smartphone, tablet, etc. and sends it to a server.

[1340] The "server" is a central computer that manages and operates the entire system, receives information sent by users, stores it in a database, and analyzes and generates advice.

[1341] "Database" refers to an electronic storage device for storing user information and analysis results, and is managed by a server.

[1342] An "AI engine" is a program that uses artificial intelligence technology to analyze data collected from users and generate custom advice.

[1343] "Custom advice" refers to specific suggestions and recommendations provided to individual users based on the results of analysis by the AI ​​engine.

[1344] "Tracking" refers to the process of continuously collecting, analyzing, and recording a user's progress and latest data.

[1345] A "community" is an online group where multiple users with the same concerns or interests can join to support each other and share information.

[1346] "Feedback" refers to information provided by users after using the system regarding their experience and areas for improvement, which can be used to improve the system.

[1347] The present invention is a system that comprehensively supports the user's skin condition and mental health. The configuration and operation of the system are described below, along with the specific names of the hardware and software used.

[1348] System configuration

[1349] 1. User Registration

[1350] Users must install the MindView application on their smartphones, tablets, or other devices and create an anonymous account. When creating an account, users enter a username and password for anonymous use, and the device collects this information and sends it to the server. The server then generates a user ID based on the information and stores it in a database.

[1351] 2. Enter basic information

[1352] Through the application, users input basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.). The device collects this information and sends it to the server, which stores it in a database and creates an initial data set.

[1353] 3. Data analysis and custom advice

[1354] The server's built-in AI engine (e.g., TensorFlow, PyTorch) periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Based on the analysis results, it generates personalized, custom advice. The advice includes specific suggestions such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The device notifies and displays this custom advice to the user.

[1355] 4. Tracking and ongoing support

[1356] Each time a user uses the app regularly and inputs their latest skin condition and emotional changes, the device sends the new data to the server, which then re-analyzes this data using an AI engine to track the user's progress, ensuring that the user receives continuous, up-to-date support.

[1357] 5. Community Features

[1358] A user accesses the community tab and selects a group they are interested in. The device sends the selected group information to the server, which then adds the user to the corresponding community. This provides an environment where users can share messages and experiences with other users and support each other.

[1359] 6. Gathering feedback and improving the system

[1360] Users provide feedback after using the app. The device collects this feedback and sends it to the server. The server analyzes the feedback and uses it to improve the system, ensuring a continuously improving user experience.

[1361] Explanation with concrete examples

[1362] For example, consider the case where a user asks for advice about "dry skin" and "stress."

[1363] 1. A user installs the MindView app and registers anonymously as "User123." The server generates a user ID and stores basic information.

[1364] 2. The user enters the information that they have "dry skin" and "high stress," and the device collects this information and sends it to the server.

[1365] 3. The server's AI engine analyzes the data and concludes that "stress may be causing dry skin."

[1366] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques for stress management." The device displays this custom advice.

[1367] Prompt Sentence Examples

[1368] Below are some examples of prompts used in generative AI models:

[1369] "Please give me some advice on how stress affects dry skin."

[1370] "How can I balance acne prevention with my mental health?"

[1371] "Please suggest some effective relaxation techniques for stress management."

[1372] As described above, the present invention collects data on the user's skin condition and mental health, analyzes it using an AI engine, and provides individually customized advice, thereby continuously providing optimal support to the user.

[1373] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1374] Step 1: User Registration

[1375] A user installs an application on a device such as a smartphone or tablet and creates an account. Specifically, the user enters a username and password, and the device collects this information and sends it to the server. The server generates a user ID based on the received username and password and stores it in a database. The input here is the username and password, and the output is the generated user ID.

[1376] Step 2: Enter basic information

[1377] Through the application, users input basic information about their skin condition and mental health, including skin dryness, acne, stress level, and sleep duration. The device collects this information and sends it to a server. The server stores the received information in a database and creates an initial dataset. The input here is skin condition and mental health information, and the output is the initial dataset.

[1378] Step 3: Analyze data and generate custom advice

[1379] The server's AI engine retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Specifically, it analyzes the collected data using statistical and machine learning algorithms to generate custom advice for each user. For example, specific advice might include "using a specific moisturizing cream for dry skin" or "trying yoga to reduce stress." The input here is the latest user information, and the output is custom advice.

[1380] Step 4: Notification of custom advice

[1381] The terminal notifies the user of the custom advice received from the server and displays it. The user receives the notification and confirms the advice. The input here is the custom advice from the server, and the output is the advice displayed to the user.

[1382] Step 5: Tracking and ongoing support

[1383] Users regularly use the app to input their latest skin condition and emotional changes. The device collects this new information and sends it to the server. The server then uses an AI engine to reanalyze the new data and track progress. This allows users to receive optimal support on an ongoing basis. The input here is the user's new information, and the output is tracked progress.

[1384] Step 6: Community Features

[1385] A user accesses the community tab and selects a group of interest. The device sends the user's selection to the server. The server adds the user to the corresponding community, providing an environment where users can share messages and experiences and support each other. The input here is the user's group selection, and the output is the added community.

[1386] Step 7: Gather feedback and improve the system

[1387] Users provide feedback after using the app. The device collects this feedback and sends it to the server. The server analyzes the feedback and uses it to improve the system, thereby continuously improving the user experience. The input here is user feedback, and the output is an improved system.

[1388] (Application example 1)

[1389] 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."

[1390] Many people today are concerned about skin problems and mental health, and there is a need for a comprehensive support system to improve these conditions. However, current systems lack an environment where users can seek advice anonymously, a community where users can share support with other users who have the same concerns, or a mechanism for sharing information with medical staff to provide specific advice. In particular, there is no system specialized in providing support for medical treatment at beauty clinics, which poses a challenge for users, as they are unable to receive sufficient support.

[1391] 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.

[1392] In this invention, the server includes: means for providing users with custom advice and resources generated based on the information; means for tracking the user's progress and providing total support based on the analysis results; means for providing an environment where the user can anonymously consult about their skin condition or mental state; means for providing mutual support using a community function with other users who have the same concerns; means for applying the information to medical support at a beauty clinic and sharing the information with medical staff; and means for analyzing the information using AI technology during treatment at the beauty clinic and providing specific advice to medical staff. This enables users to anonymously consult about their skin condition or mental health and receive specific advice from medical staff.

[1393] "Information" refers to data collected from users about their skin condition and mental health status.

[1394] "Custom Advice" is specific advice generated based on the analysis of a user's individual skin condition and mental health.

[1395] "Resources" are information about products and services to improve a user's skin condition or mental health.

[1396] "Progress" is data about changes in skin condition and mental health reported by users.

[1397] "Total Support" is a series of suggestions and guides to comprehensively support users' skin condition and mental health.

[1398] "Anonymous" means that users can report their skin condition or mental health status without being identified.

[1399] The "community function" allows users with the same concerns to share information and experiences and provide mutual support.

[1400] A "beauty clinic" is a medical institution that provides consultations and treatments related to users' skin conditions and beauty.

[1401] "Clinical support" refers to providing support to medical staff to enable them to provide medical care more effectively and efficiently.

[1402] "AI technology" refers to artificial intelligence technology used to analyze a user's skin condition and mental health data and generate custom advice.

[1403] "Medical staff" are professionals who provide medical treatment and counseling to users at medical institutions such as beauty clinics.

[1404] This invention is a system that supports beauty clinics by providing comprehensive support for users' skin condition and mental health. Users anonymously input their skin condition and mental health status, which is then analyzed using AI technology and customized advice is provided.

[1405] System configuration

[1406] 1. User Registration

[1407] The user installs the "Support App" and creates an anonymous account. At this time, the user enters a username and password for anonymous use, which the device collects and sends to the server. The server generates a user ID based on this information and stores it in a database.

[1408] 2. Enter basic information

[1409] Through the application, users input basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.). The device collects this information and sends it to the server, which stores it in a database and creates an initial data set.

[1410] 3. Data analysis and custom advice

[1411] The AI ​​engine built into the server periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. Based on the analysis results, it generates customized advice for each user. This includes specific suggestions such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The device notifies the user of this advice and displays it to them.

[1412] 4. Medical support at beauty clinics

[1413] When users visit a beauty clinic for a consultation, they use the app to share information about their skin condition and mental health with medical staff. The server then sends the information to a device at the beauty clinic, and medical staff use that information to conduct their consultation. The server's AI technology analyzes the information and provides specific medical advice.

[1414] Explanation with concrete examples

[1415] Scenario: A user wants to consult about "dry skin" and "stress."

[1416] 1. A user accesses the "Support App" and registers anonymously as "User123." The server generates a user ID and stores basic information.

[1417] 2. The user inputs information such as "dry skin" and "high stress." The device collects this information and sends it to the server.

[1418] 3. The server's AI engine performs the analysis and comes to a conclusion, such as "stress may be causing dry skin."

[1419] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques for stress management." The device displays this custom advice.

[1420] Prompt Sentence Examples

[1421] "Username: User456 Skin condition: Dry Mental health: High stress"

[1422] Hardware and software used

[1423] The server runs on a cloud-based infrastructure (e.g., AWS or Google Cloud) and uses frameworks such as TensorFlow or PyTorch as its AI engine. The device refers to the user's smartphone or tablet, and the application runs on the Android or iOS platform. The server and device communicate via a REST API to send and receive user data.

[1424] This will strengthen medical support at beauty clinics and create a system that allows users to anonymously consult about their skin condition and mental health.

[1425] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1426] Step 1:

[1427] A user installs the "Support App" and creates an anonymous account. The user enters a username and password for anonymous use. The entered information is sent from the device to the server. The server generates a user ID based on the received information and stores this information in a database. The output of this storage process is a new user ID.

[1428] Step 2:

[1429] Through the application, the user inputs basic information about their skin condition and mental health, such as dry skin, acne, stress level, and sleep duration. This information is collected on the device and sent to the server, which stores the information in a database and creates an initial data set. The output of this process is the initial data stored in the database.

[1430] Step 3:

[1431] An AI engine built into the server periodically retrieves the latest user information from the database and analyzes the relationship between skin condition and mental health. A model is generated based on data about the user's skin condition and mental health, and the data is analyzed using generative AI. Based on the analysis results, specific custom advice is generated, such as "use a specific moisturizing cream for dry skin" or "try yoga to reduce stress." The output of this analysis process is custom advice.

[1432] Step 4:

[1433] The server sends the generated custom advice to the terminal, and the terminal notifies the user. The user can check the advice through the terminal. The input of this notification process is the generated custom advice, and the output is the advice displayed on the user terminal.

[1434] Step 5:

[1435] When a user visits a beauty clinic for a consultation, they use an application to share information with medical staff. The information shared includes skin condition and mental health data entered by the user. The server sends this information to a terminal at the beauty clinic. The input of this information sharing process is the user's skin condition and mental health information, and the output is the information displayed on the terminal of the medical staff.

[1436] Step 6:

[1437] The server's AI technology analyzes data during consultations at beauty clinics and provides specific medical advice to medical staff. For example, it suggests specific treatments for dry skin. The server retrieves user information from a database and performs analysis using an AI model. The input to this analysis process is the user's data, and the output is specific medical advice based on the analysis results.

[1438] Example prompt sentence:

[1439] "Username: User456 Skin condition: Dry Mental health: High stress"

[1440] 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.

[1441] This invention combines a system that comprehensively supports the user's skin condition and mental health with an emotion engine that recognizes the user's emotional state, thereby providing more personalized custom advice.

[1442] System configuration

[1443] 1. User Registration

[1444] A user installs the MindView application and accesses the new registration screen. They enter a username and password for anonymous use, which the device collects and sends to the server. The server generates a user ID based on this information and stores it in a database.

[1445] 2. Enter basic information

[1446] Through the application, users input basic information about their skin condition and mental health. The device collects this information and sends it to a server, which stores it in a database and creates an initial data set.

[1447] 3. Emotion Recognition by Emotion Engine

[1448] While a user is using an application, the emotion engine analyzes the user's facial expressions, voice, text input, etc. to recognize their emotional state. For example, the device uses a camera or microphone to collect the user's facial expressions and voice and transmits them to the emotion engine. The emotion engine analyzes this data to determine whether the user is feeling stressed or relaxed.

[1449] 4. Data analysis and custom advice

[1450] The AI ​​engine built into the server comprehensively analyzes the emotional data obtained from the emotion engine, as well as skin condition and mental health data. Based on the analysis results, it generates customized advice for each user. For example, it might suggest relaxation meditation for a user experiencing high stress, or recommend a specific moisturizing cream for a user with dry skin. The device notifies and displays this advice to the user.

[1451] Explanation with concrete examples

[1452] Scenario: A user asks for advice about "dry skin" and "stress."

[1453] 1. A user accesses MindView and registers anonymously as "User123." The server generates a user ID and stores basic information.

[1454] 2. The user enters information such as "dry skin" and "high stress." The device collects this information and sends it to the server.

[1455] 3. The server's AI engine and emotion engine jointly analyze the data and reach a conclusion, such as "stress may be causing dry skin."

[1456] 4. The server advises User123 to "use specific moisturizing products" and "relaxation techniques to manage stress." The device displays this custom advice.

[1457] 5. The emotion engine analyzes the user's facial and vocal data, and if it determines that the emotional state is stressful, the advice is further personalized according to the emotional state.

[1458] Tracking and ongoing support

[1459] As users regularly use the app and input their latest skin condition and emotional changes, the device sends the new data to the server, which then uses AI to re-analyze the data and track progress, ensuring users receive continuous, up-to-date support.

[1460] Community Features

[1461] Users access the Community tab and select the group they are interested in. The device sends the selection to the server, adding the user to the corresponding community. Here, they can share messages and experiences with other users, providing mutual support.

[1462] Gathering feedback and improving the system

[1463] Users provide feedback after using the app. The device sends this feedback to the server, which analyzes it and uses it to improve the system, ensuring a continuously improving user experience.

[1464] In this way, by using an emotion engine that recognizes the user's emotional state, the present invention can provide more personalized custom advice and realize a system that comprehensively supports the user's skin and mental health.

[1465] The processing flow will be explained below.

[1466] Step 1:

[1467] A user installs the MindView application and accesses the new registration screen.

[1468] Step 2:

[1469] The user enters a username and password for anonymous use.

[1470] Step 3:

[1471] The terminal receives the entered username and password and sends them to the server.

[1472] Step 4:

[1473] The server stores the username and password in a database and generates a user ID.

[1474] Step 5:

[1475] The server returns the generated user ID to the device, and the user's account is created.

[1476] Step 6:

[1477] The user logs in and enters basic information about their skin condition and mental health (e.g., dry skin, acne, stress level, sleep duration, etc.).

[1478] Step 7:

[1479] The device sends the collected basic information to the server.

[1480] Step 8:

[1481] The server stores the received information in a database to create an initial data set.

[1482] Step 9:

[1483] The user inputs their facial expressions, voice, and text while using the application.

[1484] Step 10:

[1485] The device sends the user's facial expressions, voice, and text to the emotion engine.

[1486] Step 11:

[1487] The server's emotion engine analyzes the received data and recognizes the user's emotional state (e.g., stress, joy, sadness).

[1488] Step 12:

[1489] The server's AI engine retrieves the latest user information and the emotion engine's analysis results from the database.

[1490] Step 13:

[1491] The server comprehensively analyzes the user's skin condition, mental health, and emotional state and generates the analysis results.

[1492] Step 14:

[1493] Based on the analysis results, the server generates custom advice for each user (e.g., recommending the use of moisturizing cream or relaxation techniques).

[1494] Step 15:

[1495] The server generates custom advice and sends it to the device.

[1496] Step 16:

[1497] The device receives the custom advice and notifies the user.

[1498] Step 17:

[1499] The user checks the advice and puts it into practice.

[1500] Step 18:

[1501] Users use the app regularly to input their latest skin condition and emotional changes.

[1502] Step 19:

[1503] The terminal collects the updated information and sends it to the server.

[1504] Step 20:

[1505] The server's AI engine reanalyzes the data, including the new data, and tracks progress.

[1506] Step 21:

[1507] The server generates new custom advice based on the progress and analysis results.

[1508] Step 22:

[1509] The server sends the new custom advice to the device.

[1510] Step 23:

[1511] The device will receive new custom advice and notify the user.

[1512] Step 24:

[1513] A user visits the Community tab and selects a group of topics that interest them.

[1514] Step 25:

[1515] The device sends the user's selection to the server.

[1516] Step 26:

[1517] The server adds users to communities of interest and connects them with other users.

[1518] Step 27:

[1519] Users can exchange messages with other users in the community and share information and experiences.

[1520] Step 28:

[1521] Users provide feedback after using the application.

[1522] Step 29:

[1523] The device sends the feedback to the server.

[1524] Step 30:

[1525] The server analyzes the feedback and uses it to improve the system.

[1526] Example 2

[1527] 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."

[1528] While many existing health management systems collect basic information about a user's skin and mental health and provide general advice, few systems analyze the user's emotional state and provide personalized, custom advice based on that information. Furthermore, they lack comprehensive support that integrates progress tracking and community features with other users. This makes it difficult to provide support tailored to the individual needs and circumstances of each user, making it difficult to achieve optimal health management.

[1529] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1530] In this invention, the server includes emotion recognition means for recognizing the emotional state of a user in real time using facial expressions and voice, means including an AI engine for integrating and analyzing the emotional state data with skin and mental health information to generate customized advice, and means for further personalizing the generated customized advice based on the user's emotional state, thereby enabling more personalized comprehensive health support that takes the user's emotional state into consideration.

[1531] "Users" are ordinary users who use this system to manage their skin and mental health conditions.

[1532] "Facial expression" refers to the movements and expressions of the user's face, and is data that is analyzed in real time by emotion recognition means.

[1533] "Voice" refers to the voice data uttered by the user, which is also analyzed in real time by the emotion recognition means.

[1534] The "emotional state" refers to the classification and intensity of the emotion the user is feeling, and is identified by emotion recognition means from data such as facial expressions and voice.

[1535] The "emotion recognition means" is a hardware and software component for identifying the user's emotional state in real time from their facial expressions and voice.

[1536] "Skin condition" refers to the health condition of the user's skin (e.g., dryness, oiliness, wrinkles, etc.), and is data collected by the basic information input means.

[1537] "Mental health information" refers to the user's mental health status (e.g., stress level, mood, etc.), and is data collected by the basic information input means.

[1538] The "AI engine" is an algorithm and software component that comprehensively analyzes collected data (emotional state, skin condition, mental health information) and generates custom advice.

[1539] "Custom Advice" is specific advice or resources generated and provided to a user based on the user's individual data (emotional state, skin condition, mental health information).

[1540] "Progress tracking" is a means of recording and analyzing changes in a user's condition and activity, and providing ongoing support.

[1541] The "community function" is a function that allows multiple users of the system to share information with each other and support each other.

[1542] MODE FOR CARRYING OUT THE INVENTION

[1543] The present invention combines an emotion engine with a system that comprehensively supports users' skin condition and mental health. The system provides an environment where users can seek advice anonymously, tracks their progress, and enables mutual support with other users through a community function. An embodiment of this system is described in detail below.

[1544] 1. System Configuration

[1545] The hardware used includes the user's device (smartphone, tablet, computer, etc.). The device is equipped with a camera and microphone, which are used to collect the user's facial expressions and voice in real time. The device must also be connected to the Internet.

[1546] The software used includes an emotion recognition engine and an AI engine. The emotion recognition engine analyzes the user's facial expressions and voice to identify their emotional state. The AI ​​engine comprehensively analyzes their emotional state, skin condition, and mental health information to generate custom advice.

[1547] 2. User registration and basic information entry

[1548] A user installs the application and enters their username and password on the registration screen. The device collects this information and sends it to the server. The server generates a user ID and stores it in the database.

[1549] The user then enters information about their skin condition and mental health, which the device collects and sends to a server, which receives the information, stores it in a database, and creates an initial data set.

[1550] 3. Emotion Recognition and Data Analysis

[1551] While a user is using an application, the device uses a camera and microphone to collect facial expressions and voice. The collected data is sent to an emotion recognition engine and analyzed in real time. The emotion recognition engine identifies the emotion the user is feeling (e.g., stress, relaxation).

[1552] The emotional data is sent to a server and integrated with the user's skin condition and mental health information. The server's AI engine analyzes this data and generates custom advice that is tailored to the user. The advice is then further personalized based on the user's emotional state.

[1553] Examples:

[1554] For example, if a user inputs information such as "high stress level" or "dry skin," the AI ​​engine will suggest "using specific moisturizing products" and "meditation sessions to reduce stress."

[1555] 4. Custom Advice and Progress Tracking

[1556] The device notifies the user and displays custom advice sent by the server. The user periodically enters new data, which the device collects and sends to the server, which uses this data to track progress and update advice as needed.

[1557] 5. Community Features

[1558] A user accesses the Community tab and selects the group they are interested in. The device sends this selection to the server, adding the user to the corresponding community, where they can share information with other users and provide mutual support.

[1559] 6. Gathering Feedback

[1560] After using the app, users provide feedback, which is then sent to the server, where it is analyzed and used to improve the system.

[1561] Prompt Sentence Examples

[1562] For example, suppose a user enters the following prompt:

[1563] "Can you give me some advice on dry skin and stress relief? Can you recommend any specific products or techniques?"

[1564] This allows users to receive specific advice from the system and use it to help with daily health management.

[1565] The above is a specific embodiment of the present invention. The system analyzes the user's emotional state and provides customized advice based on that analysis, providing comprehensive support for skin and mental health.

[1566] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1567] Step 1:

[1568] A user installs the application and accesses the new registration screen. When the user enters their username and password, the device collects this information. The collected information is sent to the server, which generates a user ID. The generated user ID is saved in the database. The input is the username and password, and the output is the user ID. Specifically, the user enters the username and password "ExampleUser" and clicks the register button.

[1569] Step 2:

[1570] The user inputs information about their skin condition and mental health through the application. The device collects this information and sends it to the server. The server stores the received information in a database and creates an initial data set. The input is skin condition and mental health information, and the output is the initial data set. Specifically, the application inputs information such as "dry skin" and "stress level 8."

[1571] Step 3:

[1572] While the user is using the application, the device uses the camera and microphone to collect facial expressions and voice. This data is sent to the emotion recognition engine, which analyzes the emotional state in real time. The emotion recognition engine then sends the analysis results to the server. The input is the user's facial expressions and voice, and the output is the analyzed emotional state. Specifically, the "Emotion Check" within the application is launched, and emotion recognition is performed.

[1573] Step 4:

[1574] The AI ​​engine built into the server comprehensively analyzes the results of the emotion recognition engine, skin condition, and mental health information. This generates custom advice for each user. The input is emotional state, skin condition, and mental health information, and the output is custom advice. Specifically, it suggests the use of specific moisturizing products and a meditation session based on the information on "high stress level" and "dry skin."

[1575] Step 5:

[1576] The device notifies the user and displays custom advice sent from the server. Every time the user enters new data, the device sends this data to the server. The server re-analyzes the data based on the new data and tracks progress. The input is new user information, and the output is updated custom advice and a progress report. Specifically, the device displays new advice to the user via a push notification.

[1577] Step 6:

[1578] The user accesses the community tab and selects a group of interest. The device sends this selection information to the server, which then adds the user to the corresponding community. The input is the community selection information, and the output is the addition of the user to the community. Specifically, the user selects and joins the "Dry Skin Care" group.

[1579] Step 7:

[1580] After using the app, the user provides feedback. The device sends this feedback to the server, which analyzes it and uses it to improve the system. The input is the user's feedback, and the output is data for system improvement. Specifically, the user enters their thoughts into a feedback form and submits it.

[1581] (Application example 2)

[1582] 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."

[1583] Conventional self-driving vehicles lacked the means to properly monitor the driver's mental health and emotional state, limiting safety improvements and individual support. As a result, there were concerns about the risk of accidents due to sudden stress or fatigue in the driver. In addition, there was a lack of systems that comprehensively support the driver's skin condition and mental state, meaning that total support for the driver was not provided adequately.

[1584] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for providing the user with customized advice and resources generated based on the above information; means for tracking the user's progress and providing comprehensive support based on the analysis results; means for providing an environment where the user can anonymously consult about their skin condition or mental state; means for providing mutual support using a community function with other users who share the same concerns; means for recognizing the user's emotional state while driving in real time and providing customized advice and alerts; and means for analyzing the user's facial expressions and voice to generate data for improving driving safety. This allows the user's stress and fatigue while driving to be monitored in real time and receive the necessary support and advice. Furthermore, comprehensive support is provided for skin condition and mental state, thereby realizing total support for the driver.

[1585] "Custom Advice" means specific advice or recommendations provided based on a User's individual situation or needs.

[1586] "Resources" refers to information, tools, or services that can help support or improve your experience.

[1587] "Users" refers to people who use the system, specifically including drivers.

[1588] "Progress tracking" means continuously tracking and recording changes in a user's condition or behavior.

[1589] "Analysis results" refers to the conclusions and findings obtained from analysis based on collected data.

[1590] "Full support" means providing comprehensive support for users' various needs and problems.

[1591] "Providing an environment" refers to creating conditions that enable users to carry out specific activities or behaviors without any problems.

[1592] "Community function" refers to a mechanism that allows multiple users with the same interests or problems to connect with each other, exchange information, and provide support.

[1593] "Real-time recognition" refers to understanding and processing the content and meaning of data as soon as it is generated.

[1594] An "alert" is a warning or warning that is automatically sent when a specific situation occurs.

[1595] "Generating data" means processing collected information to create new information and insights.

[1596] The present invention provides a system for comprehensively supporting a user's emotional state and mental health, and an embodiment thereof is described in detail below. This system monitors the emotional state of a user (driver) in an autonomous vehicle in real time and provides appropriate customized advice and alerts.

[1597] System configuration

[1598] The system consists of the following main components:

[1599] 1. User registration and basic information entry

[1600] A user installs the Driver Health Monitor application on their smartphone or in-car display and registers. They enter an anonymous username and password, which the device collects and sends to the server. The server generates a user ID and stores it in a database.

[1601] Basic information such as skin condition and mental health is entered, and the device collects this information and sends it to the server, which creates an initial data set and stores it in a database.

[1602] 2. Real-time emotion recognition

[1603] Using cameras and microphones installed inside the vehicle, the vehicle terminal collects the user's facial expressions and voice. This data is sent to the emotion engine and analyzed in real time. Based on the analysis results, the emotion engine determines whether the user is feeling stressed or relaxed.

[1604] 3. Data analysis and custom advice

[1605] The AI ​​engine built into the server comprehensively analyzes the data obtained from the emotion engine along with skin condition and mental health data. Based on the analysis results, it generates personalized, custom advice and alerts and notifies the user via their device. For example, if stress levels are high, it may suggest relaxation meditation, or recommend a specific moisturizing cream to users with dry skin.

[1606] 4. Tracking and ongoing support

[1607] As users regularly use the app and input their latest skin condition and emotional changes, the device sends the new data to the server, which then uses AI to re-analyze the data, track progress, and provide ongoing, up-to-date support.

[1608] 5. Community Features

[1609] Users access the community tab, select groups of interest, and their device sends the selection to the server, which adds the user to the corresponding community, allowing users to share messages, experiences, and support each other.

[1610] 6. Gathering feedback and improving the system

[1611] After using the app, users provide feedback, which their devices send to the server, which analyzes the feedback and uses it to improve the system and continually enhance the user experience.

[1612] Hardware and software used

[1613] Hardware:

[1614] In-car cameras, microphones, autonomous vehicle control systems, smartphones

[1615] software:

[1616] OpenCV: Image analysis library

[1617] DeepFace: Emotion Recognition Library

[1618] Python: a programming language

[1619] Server: Data analysis and storage

[1620] Specific examples

[1621] For example, by inputting the following prompt sentences into the generative AI model, more advanced advice and analysis results can be generated.

[1622] Prompt Sentence Examples

[1623] "If the driver is stressed, suggest music or sound effects to help them relax."

[1624] "If extreme fatigue is detected from the driver's facial expression, issue an alert and generate a message encouraging them to take a break."

[1625] "Provide safety advice for the driver's future driving based on real-time sentiment analysis results."

[1626] In this way, the present invention can improve the safety of autonomous vehicles by monitoring the user's emotional state in real time and providing personalized, customised advice and alerts, while also providing comprehensive mental health support.

[1627] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1628] Step 1:

[1629] A user installs the Driver Health Monitor application on their smartphone or in-car display and registers. The entered anonymous username and password are collected from the device and sent to the server. The server receives this, generates a user ID, and stores it in a database. The input is the username and password, and the output is the generated user ID.

[1630] Step 2:

[1631] The user enters basic information about their skin condition and mental health into the application. The device collects this data and sends it to the server. The server creates an initial dataset based on the received information and stores it in a database. The input is data about skin condition and mental health, and the output is the initial dataset.

[1632] Step 3:

[1633] Cameras and microphones installed inside the vehicle collect the user's facial and voice data in real time. This data is sent to the emotion engine via the device. The emotion engine analyzes the data and recognizes the user's emotional state in real time. The input is facial and voice data, and the output is the analyzed emotional state.

[1634] Step 4:

[1635] The AI ​​engine built into the server comprehensively analyzes the emotional data obtained from the emotion engine, as well as skin condition and mental health data. Based on the analysis results, it generates and notifies users with customized advice and alerts. The input is emotional data and basic data, and the output is customized advice and alerts.

[1636] Step 5:

[1637] Users regularly use the app to input their latest skin condition and emotional changes. The device then sends this new data to the server, which then uses AI to reanalyze the new data, track progress, and provide the latest support. The input is the latest skin condition and emotional data, and the output is the reanalysis results and updated support information.

[1638] Step 6:

[1639] A user accesses the community tab and selects a group of interest. The device sends the selection to the server, which adds the user to the corresponding community. Within the community, users share messages and experiences and provide mutual support. The input is the selection of a community group, and the output is adding the user to the community.

[1640] Step 7:

[1641] Users provide feedback after using the app. The device collects the feedback and sends it to the server. The server analyzes the feedback and uses it to improve the system. The feedback is used to continuously improve the user experience. The input is user feedback, and the output is analysis results and insights for system improvement.

[1642] Add specific examples

[1643] For example, by inputting the following prompt sentence into the generative AI model, more advanced advice and analysis results can be generated.

[1644] Prompt Sentence Examples

[1645] "If the driver is stressed, suggest music or sound effects to help them relax."

[1646] "If extreme fatigue is detected from the driver's facial expression, issue an alert and generate a message encouraging them to take a break."

[1647] "Provide safety advice for the driver's future driving based on real-time sentiment analysis results."

[1648] This system allows users to monitor their stress and fatigue while driving in real time, and provides them with immediate assistance and advice when needed.

[1649] 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.

[1650] 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.

[1651] 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.

[1652] 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.

[1653] FIG. 9 illustrates 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 behaviors 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.

[1654] 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.

[1655] 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).

[1656] 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.

[1657] 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."

[1658] 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.

[1659] 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).

[1660] 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.

[1661] 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.

[1662] 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.

[1663] 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.

[1664] 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.

[1665] 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.

[1666] 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.

[1667] 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.

[1668] 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.

[1669] 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.

[1670] The following is further disclosed regarding the above embodiment.

[1671] (Claim 1)

[1672] A means to provide users with custom advice and resources generated from the information above; and

[1673] means for tracking the user's progress and providing comprehensive support based on the analysis results;

[1674] A means for providing an environment where the user can anonymously consult about skin conditions and mental health conditions;

[1675] A means to support each other using the community function with other users who have the same concerns,

[1676] A system including:

[1677] (Claim 2)

[1678] The method provides individualized total support to users based on the analysis results.

[1679] 10. The system of claim 1.

[1680] (Claim 3)

[1681] The system analyzes the user's emotional state and skin condition using AI technology.

[1682] 10. The system of claim 1.

[1683] "Example 1"

[1684] (Claim 1)

[1685] A means for users to anonymously create an account and enter basic information;

[1686] A means for the terminal to collect user input information and transmit it to a server;

[1687] The server stores the received information in a database and generates a user ID;

[1688] A means for analyzing the collected data using an AI engine to generate custom advice;

[1689] a means for the device to notify and display the custom advice to the user;

[1690] A means of tracking user progress and periodically reanalyzing the data;

[1691] A means for users to access communities of interest and provide a supportive environment for each other;

[1692] A means of collecting and analyzing user feedback to help improve the system;

[1693] A system including:

[1694] (Claim 2)

[1695] 10. The system of claim 1, further comprising: providing individualized, custom advice to the user based on the analysis results.

[1696] (Claim 3)

[1697] The system according to claim 1, characterized in that the user's skin condition and emotional state are analyzed using AI technology.

[1698] "Application Example 1"

[1699] (Claim 1)

[1700] A means to provide users with custom advice and resources generated from the information above; and

[1701] means for tracking the user's progress and providing comprehensive support based on the analysis results;

[1702] A means for providing an environment where the user can anonymously consult about skin conditions and mental health conditions;

[1703] A means to support each other using the community function with other users who have the same concerns,

[1704] A means for applying the information to medical support at beauty clinics and sharing the information with medical staff;

[1705] A means for analyzing the data using AI technology during consultations at the beauty clinic and providing specific advice to medical staff;

[1706] A system including:

[1707] (Claim 2)

[1708] 2. The system according to claim 1, wherein the system provides individualized total support to the user based on the analysis results.

[1709] (Claim 3)

[1710] The system according to claim 1, characterized in that the user's emotional state and skin condition are analyzed using AI technology.

[1711] "Example 2: Combining Emotion Engines"

[1712] (Claim 1)

[1713] a means for providing users with custom advice and resources generated based on the information;

[1714] means for tracking the user's progress and providing comprehensive support based on the analysis results;

[1715] A means for providing an environment in which the user can anonymously consult about skin conditions and mental conditions;

[1716] A means to provide mutual support using the community function with other users who have the same concerns,

[1717] emotion recognition means for recognizing an emotional state of a user in real time using facial expressions and voice;

[1718] a means including an AI engine that integrates and analyzes the emotional state data with skin and mental health information to generate custom advice;

[1719] means for further personalizing the generated custom advice based on the user's emotional state;

[1720] A system including:

[1721] (Claim 2)

[1722] providing individualized total support to users based on the analysis results;

[1723] 10. The system of claim 1.

[1724] (Claim 3)

[1725] The user's emotional state and skin condition are analyzed using AI technology.

[1726] 10. The system of claim 1.

[1727] "Application example 2 when combining emotion engines"

[1728] (Claim 1)

[1729] a means for providing users with custom advice and resources generated based on the information;

[1730] means for tracking the user's progress and providing comprehensive support based on the analysis results;

[1731] A means for providing an environment where the user can anonymously consult about skin conditions and mental conditions;

[1732] A means to provide mutual support using the community function with other users who have the same concerns,

[1733] A means of recognizing the user's emotional state while driving in real time and providing custom advice and alerts;

[1734] A means for analyzing the facial expressions and voice of a user to generate data for improving driving safety;

[1735] A system including:

[1736] (Claim 2)

[1737] The method provides individual and comprehensive support to users based on the analysis results.

[1738] 10. The system of claim 1.

[1739] (Claim 3)

[1740] The emotional state and skin condition of the user are analyzed using artificial intelligence technology.

[1741] 10. The system of claim 1. [Explanation of symbols]

[1742] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means to provide users with custom advice and resources generated from the information above; and means for tracking the user's progress and providing comprehensive support based on the analysis results; A means for providing an environment where the user can anonymously consult about skin conditions and mental health conditions; A means to support each other using the community function with other users who have the same concerns, A system including:

2. The method provides individualized total support to users based on the analysis results. The system of claim 1 .

3. The system analyzes the user's emotional state and skin condition using AI technology. The system of claim 1 .

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