system

Abstract

Provide a system. A means for accepting input from a user; means for transmitting the received input to a server; a means by which the server uses artificial intelligence to analyze the user's input; a means for providing the analysis results to a user; A beauty care support system including:

Description

[Technical Field]

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

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

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

[0004] Conventional beauty care systems have the problem of only being able to provide uniform advice for users' skin conditions and concerns, and being unable to address individual needs. Furthermore, there has been no effective system for properly analyzing the information entered by users and providing optimal skin care plans. As a result, it has been difficult for users to find the optimal beauty care for themselves, making it difficult to achieve efficient beauty care. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems by providing a beauty care support system that includes a means for accepting input from a user, a means for transmitting the accepted input to a server, a means for the server to use artificial intelligence to analyze the user's input, and a means for providing the analysis results to the user. The system of the present invention recommends an optimal skin care plan based on the user's skin condition, concerns, and goals, and further stores the analysis results in a database so that the user can refer to them again in the future. This allows users to efficiently find the optimal beauty care for themselves.

[0006] "User" refers to an individual who uses the beauty care support system to input information about their skin condition and concerns.

[0007] "Means for accepting input" refers to an interface that allows users to input information such as skin condition, concerns, and goals via a smartphone or web interface.

[0008] "Server" refers to a server computer that processes data received from users, stores it in a database, and analyzes it.

[0009] "Transmission means" refers to a communication means for transmitting information entered by a user to a server via the Internet.

[0010] "Artificial intelligence" refers to machine learning models and algorithms that analyze user input data and generate optimal skin care plans and beauty advice.

[0011] "Analysis results" refers to skin care advice and recommended product lists generated by artificial intelligence based on user input data.

[0012] The "means for providing" refers to an interface for transmitting the analysis results generated by the server to the user's terminal and displaying them in a format that can be viewed by the user.

[0013] "Database" refers to a digital storage system for storing and managing user input data and analysis results.

[0014] A "beauty care support system" refers to an information processing system that includes a series of system components for providing an optimal skin care plan that addresses a user's skin condition and concerns. [Brief explanation of the drawings]

[0015] [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

[0016] 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.

[0017] First, the terms used in the following description will be explained.

[0018] 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).

[0019] 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.

[0020] 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.

[0021] 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.

[0022] 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."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0030] 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.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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."

[0036] The beauty care support system of the present invention is a system for providing optimal skin care advice based on information input by a user. This system includes an interface for receiving input from a user, a communication means for transmitting the input to a server, a server for storing the received data in a database and analyzing it, and a means for providing the user with the analysis results.

[0037] First, the user accesses the application using a device such as a smartphone or PC. The user interface displays a form for entering information about the user's skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles, acne), and goals (e.g., whitening, moisturizing, anti-aging). When the user enters this information into the form and clicks the submit button, the information is sent to the server via the device.

[0038] The server receives the user's input and stores it in a database. The stored information is then analyzed by an AI model running on the server. The AI ​​model compares the data with past data to recommend optimal skincare advice and products. This analysis is performed using deep learning algorithms to generate customized results for each user.

[0039] The analysis results are sent from the server to the device and provided to the user. For example, if a user inputs that they have "dry skin" and are "concerned about blemishes," the server's AI model will recommend a "lotion with high moisturizing effects" or a "serum containing whitening ingredients." This information is displayed on the user interface, and the user can follow the recommended advice to perform skin care.

[0040] As a specific example, the following sequence of events will be described:

[0041] User: Launches the application and enters "dry skin," "worried about blemishes," and "want to brighten my skin" in the form that appears on the screen.

[0042] Terminal: Generates and sends JSON format data to send the input content to the server.

[0043] json

[0044] {

[0045] "skin_type": "dry skin",

[0046] "concerns": "stains",

[0047] "goals": "whitening"

[0048] }

[0049] Server: Stores the received data in a database. After storing it, it calls the AI ​​model and performs analysis based on the input data.

[0050] AI model: As a result of the analysis, it generates advice such as "Use a moisturizing lotion" or "Use a serum containing whitening ingredients" along with a list of recommended products.

[0051] Server: Formats the generated results in a user-friendly format and sends them to the terminal.

[0052] Terminal: Receives the results and displays them in a user interface.

[0053] User: Carries out skin care based on the displayed advice and purchases the recommended products.

[0054] As a result, the beauty care support system of the present invention can provide optimal skin care advice according to the individual needs of the user.

[0055] The processing flow will be explained below.

[0056] Step 1:

[0057] User: Launches the application and clicks the "Start Skin Diagnosis" button displayed on the home screen. A form is displayed, and the user inputs their skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles), and goals (e.g., moisturizing, whitening).

[0058] Step 2:

[0059] Device: Collects information entered by the user and generates an API request to send to the server. For example, format the data as "skin_type=dry skin&concerns=blemishes&goals=whitening".

[0060] Step 3:

[0061] Server: Receives API requests sent from the device, analyzes the received data, and temporarily stores it in memory.

[0062] Step 4:

[0063] Server: Store the received data in a database. For example, insert the data using an SQL query like this:

[0064] sql

[0065] INSERT INTO user_skin_data (user_id, skin_type, concerns, goals)

[0066] VALUES ('12345', 'Dry Skin', 'Blemishes', 'Whitening');

[0067] Step 5:

[0068] Server: Passes the saved user skin data to the AI ​​model and begins analysis. The AI ​​model generates an optimal skin care plan and product list based on the user's skin data.

[0069] Step 6:

[0070] Server: Receives the analysis results returned by the AI ​​model and converts them into a user-friendly format. For example, it generates advice such as "Use a moisturizing lotion" or "Use a beauty serum containing whitening ingredients."

[0071] Step 7:

[0072] Server: Generates an API response to send the formatted analysis results and product list to the user. The response is converted to JSON format.

[0073] Step 8:

[0074] Terminal: Receives the response from the server, parses it, and prepares it for display in the user interface. For example,

[0075] Recommended advice: Use a moisturizing lotion.

[0076] Recommended Products:

[0077] 1. Moisturizing Lotion A - 2,000 yen

[0078] 2. Whitening Serum B - 3,000 yen

[0079] Step 9:

[0080] User: Review the advice and product recommendations to implement the skin care routine that best suits them. Purchase the products shown, if desired.

[0081] In this way, the beauty care support system of the present invention efficiently analyzes the information input by the user and provides individually customized beauty advice.

[0082] Example 1

[0083] 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."

[0084] In recent years, the amount of information related to beauty care has increased, making it difficult to find the right skin care products and methods that suit individual skin conditions, concerns, and goals. In order to enable users to efficiently implement skin care that is optimal for their skin, a system is needed that can integrate and analyze expert knowledge and vast amounts of information to provide accurate advice.

[0085] 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.

[0086] In this invention, the server includes means for accepting input from a user, means for converting the accepted input into a data format and sending it to the server, means for the server to analyze the input information stored in the database using artificial intelligence, and means for formatting the analysis results and providing them to the user, thereby making it possible to efficiently provide optimal skin care advice tailored to the user's individual skin condition, concerns, and goals.

[0087] A "user" is someone who uses the system to input their skin condition, concerns, and goals and receive skin care advice.

[0088] "Input" refers to the user providing information such as their skin condition, concerns, and goals to the system.

[0089] A "means" is a specific method or device component for achieving a specific purpose.

[0090] "Converting to a data format" means converting the information provided by the user into a format that can be analyzed by the server (for example, JSON format).

[0091] A "server" is a computer system that receives, stores, analyzes data over a network, and transmits the results of that analysis.

[0092] A "database" is an information system for storing and managing user input information, past skin care history, and product information.

[0093] "Artificial intelligence" refers to machine learning models and algorithms that analyze data and generate optimal skin care advice for users.

[0094] "Analysis" is the process of deriving optimal skin care advice based on the data provided by the user.

[0095] "Formatting" refers to converting the generated analysis results into a format that is easy for the user to understand.

[0096] "Providing" refers to showing the analysis results to the user or making them accessible to the user.

[0097] The beauty care support system of the present invention is a system that uses artificial intelligence to provide optimal skin care advice based on the skin condition, concerns, and goals provided by the user.

[0098] Hardware and software used

[0099] Hardware: Computing devices (terminals) such as smartphones and PCs, central servers, database servers

[0100] Software: Dedicated applications (e.g., "skin care apps"), database management systems, artificial intelligence models (e.g., "skin care AI"), communication protocols (HTTP / HTTPS)

[0101] Data processing and calculation

[0102] The system provides optimal skin care advice to users through the following process.

[0103] Collecting user input information

[0104] The user launches the dedicated application and enters their skin condition (e.g., "dry skin"), concerns (e.g., "blemishes"), and goals (e.g., "whitening") into the displayed form.

[0105] Sending and Receiving Data

[0106] The entered information is collected on the terminal, converted into JSON format, and then sent to the server using the HTTP protocol, where it is stored in a database.

[0107] Data analysis

[0108] The data stored on the server is analyzed by an artificial intelligence model called "Skincare AI," which uses deep learning algorithms to generate an optimal skincare plan based on past user data and skincare product information.

[0109] Providing analysis results

[0110] The server formats the generated analysis results, converts them into a user-friendly format, and sends them to the device, which displays the results and allows the user to check the recommended skin care advice.

[0111] Examples of specific examples and prompts

[0112] For example, the following sequence will be described:

[0113] User Examples

[0114] 1. User: Launches the "skin care app" on a smartphone, enters "dry skin," "blemishes," and "whitening" in the input form, and clicks the send button.

[0115] 2. Terminal: Convert the input information into JSON format and send it to the server as follows:

[0116] json

[0117] {

[0118] "skin_type": "dry skin",

[0119] "concerns": "stains",

[0120] "goals": "whitening"

[0121] }

[0122] 3. Server: The received data is stored in a database and analyzed using "Skincare AI." As a result of the analysis, information is generated that recommends products such as "moisturizing lotion" or "whitening serum."

[0123] 4. Terminal: Receives the analysis results and displays them on the user interface.

[0124] 5. User: Check the displayed advice and use the recommended lotion or serum.

[0125] Through this system, users can efficiently receive optimal skin care advice tailored to their individual needs.

[0126] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0127] Step 1:

[0128] Users launch the dedicated application using their smartphone or PC, enter their skin condition (e.g., "dry skin"), concerns (e.g., "blemishes"), and goals (e.g., "whitening") into the form displayed on the user interface, and click the submit button.

[0129] Input: User's skin condition, concerns, and goals

[0130] Output: User input data

[0131] Specific operation: The user enters "dry skin," "blemishes," and "whitening" and clicks the send button.

[0132] Step 2:

[0133] The terminal receives the data entered by the user, converts it into JSON format, and sends the converted data to the server using the HTTP protocol.

[0134] Input: User-entered data

[0135] Output: JSON format data

[0136] Specific operation: The device generates the following JSON data.

[0137] json

[0138] {

[0139] "skin_type": "dry skin",

[0140] "concerns": "stains",

[0141] "goals": "whitening"

[0142] }

[0143] Then, send the JSON data to the server.

[0144] Step 3:

[0145] The server analyzes the JSON data received from the terminal and stores it in a database.

[0146] Input: User data in JSON format

[0147] Output: User data stored in the database

[0148] Specific operation: The server stores the received JSON data in the "skin care database."

[0149] Step 4:

[0150] The server uses an artificial intelligence model called "Skincare AI" to analyze user data stored in a database, deriving an optimal skin care plan based on the user's skin condition, concerns, and goals.

[0151] Input: User data stored in the database

[0152] Output: Analysis results (optimal skin care plan)

[0153] Specific operation: The artificial intelligence model "Skincare AI" generates the following analysis results.

[0154] "Highly moisturizing lotion"

[0155] "Whitening beauty serum"

[0156] Step 5:

[0157] The server formats the analysis results into a format that is easy for the user to read and sends them to the terminal.

[0158] Input: Analysis results

[0159] Output: Result data in a user-friendly format

[0160] Specific operation: The server converts the generated analysis results into a response format and sends it to the terminal via the HTTP protocol.

[0161] Step 6:

[0162] The terminal displays the results received from the server on a user interface.

[0163] Input: Result data in a user-friendly format

[0164] Output: Advice displayed in the user interface

[0165] Specific operation: The device displays the analysis results on the screen so that the user can check them. For example, it displays "lotion with high moisturizing effect" and "beauty serum containing whitening ingredients."

[0166] Step 7:

[0167] Users can check the skin care advice displayed on the device, take appropriate skin care measures based on the advice, and, if necessary, purchase the recommended products and incorporate them into their daily skin care routine.

[0168] Input: Advice displayed in the user interface

[0169] Output: Skin care performed by the user

[0170] Specific operation: The user purchases the recommended lotion or serum and applies it to their daily skin care routine.

[0171] (Application example 1)

[0172] 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."

[0173] In conventional beauty care support systems, users typically enter information about their skin condition and concerns online and receive analysis results, but these systems do not provide immediate support in physical stores. This makes it difficult to provide customized skin care advice to customers directly in stores, posing a challenge in creating a smooth customer experience. In particular, visitors to beauty specialty stores often want to try out and purchase products on the spot, and meeting this need requires immediate, appropriate skin care advice and product recommendations.

[0174] 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.

[0175] In this invention, the server includes means for accepting input from a user, means for transmitting the accepted input to the server, means for the server to use artificial intelligence to analyze the user's input, means for providing the analysis results to the user, means for a customer to input their skin condition, concerns, and goals using a dedicated terminal in a physical store, and means for transmitting the input data to the server, which then generates customized skin care advice and a list of recommended products and provides them to the user in real time, thereby enabling instantaneous customized skin care advice and product suggestions to be provided to customers in physical stores.

[0176] The "means for accepting input from the user" is a system device that allows customers to input information such as their skin condition, concerns, and goals.

[0177] The "means for transmitting the received input to the server" is a communication means for transferring the information input by the user to the server.

[0178] "Means by which the server uses artificial intelligence to analyze user input" refers to machine learning models or deep learning algorithms to analyze the information received from the user and generate optimal skin care advice.

[0179] The "means for providing the analysis results to the user" is a system device that returns the analysis results generated by the server to the user so that the results can be confirmed and used.

[0180] "A means for customers to input their skin condition, concerns, and goals using a dedicated device in a physical store" refers to a means for customers to input information using tablets or smartphones installed in physical stores.

[0181] "Means for sending the input data to a server, which then generates customized skin care advice and a list of recommended products and provides them to the user in real time" refers to a series of processes in which the information input by the user is sent to a server, and the server immediately generates analysis results and communicates them to the user.

[0182] "Customized skin care advice" refers to appropriate skin care instructions suggested based on a user's individual skin condition, concerns, and goals.

[0183] The "recommended product list" is a list of specific skin care products provided to the user based on the analysis results of the server.

[0184] To improve customer experience in brick-and-mortar stores, this invention provides a system that allows customers to input their skin condition, concerns, and goals using a dedicated terminal, and instantly provides customized skin care advice and a list of recommended products. Specific means for implementing this system are described below.

[0185] First, customers access the application using a dedicated tablet or smartphone installed in a physical store. The application is built using React Native, and the user interface displays a form for entering "skin type," "concerns," and "goals." When the customer enters this information and clicks the submit button, the information is sent to the server in JSON format.

[0186] The server is equipped with a web server built using Node.js and Express. This server stores data received from customers in a database and analyzes it. This analysis is performed using an artificial intelligence model that uses a deep learning algorithm. The artificial intelligence model generates optimal skin care advice and a list of recommended products based on each user's skin condition, concerns, and goals.

[0187] The generated analysis results are sent in real time from the server to the customer's dedicated device. The customer can check the analysis results on the spot and try out the recommended skin care products. The analysis results are also saved in a database so that the customer can refer to them again in the future.

[0188] As an example of how this system works, the following prompts could be input to the AI ​​model:

[0189] "Please suggest a way to provide optimal skin care advice to users based on the following input data.

[0190] Input data:

[0191] Skin type: Dry skin

[0192] Problem: Age spots

[0193] Goal: whitening

[0194] Please provide your suggested advice and recommended product list.”

[0195] In this way, instant, customized skin care advice can be provided in physical stores, significantly improving the customer experience.

[0196] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0197] Step 1:

[0198] Users access the application using a dedicated device (tablet or smartphone) installed in a physical store. The application is built using React Native and displays a form where users can enter their "skin type," "concerns," and "goals."

[0199] Input: User inputs skin type, concerns, and goals

[0200] Output: Input data (JSON format)

[0201] Step 2:

[0202] The device sends the data entered by the user in JSON format to the server, which then transfers the data to the server via a communication means and prepares it for analysis.

[0203] Input: Data entered by the user

[0204] Output: The input data in JSON format is sent to the server.

[0205] Step 3:

[0206] The server stores the received JSON formatted data in a database, allowing for subsequent analysis and reuse of the information.

[0207] Input: JSON format data sent from the terminal

[0208] Output: Input data stored in a database

[0209] Step 4:

[0210] The server then analyzes the stored data using an artificial intelligence model that uses deep learning algorithms to compare it with past data and generate optimal skincare advice and product recommendations.

[0211] Input: Input data stored in the database

[0212] Output: Analysis results (skin care advice and recommended product list)

[0213] Step 5:

[0214] The server then sends the generated analysis results to the user's dedicated device in real time, allowing the user to instantly view customized advice and recommended products.

[0215] Input: Analysis results

[0216] Output: Analysis results are sent to the device.

[0217] Step 6:

[0218] The device displays the analysis results received from the server on a user interface, allowing the user to immediately try or purchase the recommended skin care products.

[0219] Input: Analysis results sent from the server

[0220] Output: Analysis results displayed in the user interface

[0221] Step 7:

[0222] The server stores the analysis results in a database so that the user can refer to them again in the future. This operation makes it easier for the user to manage their skin care history.

[0223] Input: Generated analysis results

[0224] Output: Analysis results stored in a database

[0225] The above steps create a system that can provide instant, customized skin care advice and recommended products in a physical store.

[0226] 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.

[0227] The beauty care support system of the present invention is a system for providing optimal skin care advice based on information input by a user, and is also capable of recognizing the user's emotions and providing advice based thereon. This system includes an interface for receiving input from a user, a communication means for transmitting the input to a server, a server for storing the received data in a database and analyzing it, an emotion engine for recognizing emotions, and a means for providing the analysis results to the user.

[0228] First, the user accesses the application using a device such as a smartphone or PC. The user interface displays a form for entering information about the user's skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles, acne), and goals (e.g., whitening, moisturizing, anti-aging). When the user enters this information into the form and clicks the submit button, the information is sent to the server via the device.

[0229] The server receives the user's input information and stores it in a database. The stored information is analyzed by the server's AI model and emotion engine. First, the AI ​​model analyzes the user's skin data and generates an optimal skin care plan and product list. Next, the emotion engine uses the user's input data and facial recognition technology to recognize emotions and analyze the user's current emotional state.

[0230] Based on this, the server takes into account feedback from the emotion engine and adjusts the advice content. For example, if the user is feeling stressed, it can add products with relaxing scents or mental care advice that will help relieve stress.

[0231] As a specific example, the following sequence of events will be described:

[0232] User: Launches the application and enters "dry skin," "worried about dark spots," and "want to brighten my skin" into the form displayed on the screen. Furthermore, the application uses the camera function to perform facial recognition and automatically recognize the user's current emotional state.

[0233] Terminal: Generates and sends JSON format data to send the input content and facial recognition data to the server.

[0234] json

[0235] {

[0236] "skin_type": "dry skin",

[0237] "concerns": "stains",

[0238] "goals": "whitening",

[0239] "emotion_data": "stress"

[0240] }

[0241] Server: Stores the received data in a database. After storing it, it calls the AI ​​model and performs analysis based on the input data.

[0242] AI model: As a result of the analysis, it generates advice such as "Use a lotion with moisturizing effects" or "Use a beauty serum that contains whitening ingredients."

[0243] Emotion engine: Analyzes the user's emotional state based on facial recognition data and feeds the analysis results back to the server. For example, it generates a result such as "feeling stressed."

[0244] Server: Adjust the advice content based on feedback from the emotion engine. For example, add skin care products or mental care advice that can help relieve stress.

[0245] Server: Formats the generated results in a user-friendly format and sends them to the terminal.

[0246] Terminal: Receives the results and displays them in a user interface.

[0247] User: Carries out skin care based on the displayed advice and purchases recommended products as needed.

[0248] This allows the beauty care support system of the present invention to provide optimal skin care advice according to the individual needs and emotional state of the user.

[0249] The processing flow will be explained below.

[0250] Step 1:

[0251] User: Launches the application and clicks the "Start Skin Diagnosis" button displayed on the home screen. A form is displayed, in which the user enters their skin condition, concerns, and goals. They then use the camera to take a photo of their face, which provides emotional data to the emotion engine.

[0252] Step 2:

[0253] Terminal: Collects skin information entered by the user and a face photo taken with the camera, and generates JSON format data to send to the server. For example, the data is formatted as "skin_type=dry skin&concerns=blemishes&goals=whitening&emotion_data=face photo binary data".

[0254] Step 3:

[0255] Server: Receives API requests sent from the device, extracts the user's input and emotion data, and temporarily stores the received data in memory.

[0256] Step 4:

[0257] Server: Store the received user data in the database. Insert the data using the following SQL query:

[0258] sql

[0259] INSERT INTO user_skin_data (user_id, skin_type, concerns, goals, emotion_data)

[0260] VALUES ('12345', 'Dry skin', 'Blemishes', 'Whitening', 'Facial photo binary data');

[0261] Step 5:

[0262] Server: Passes the saved user skin data to the AI ​​model and begins analysis. The AI ​​model generates an optimal skin care plan and product list based on the user's skin data.

[0263] Step 6:

[0264] AI model: As a result of the analysis, it generates advice such as "Use a moisturizing lotion" or "Use a serum containing whitening ingredients" along with a list of recommended products.

[0265] Step 7:

[0266] Server: Receives the analysis results of the AI ​​model and then analyzes them using the emotion engine.

[0267] Step 8:

[0268] Server: Passes emotion data to the emotion engine to analyze the user's emotional state. The emotion engine uses facial recognition technology to identify the user's emotional state (happiness, sadness, stress, etc.).

[0269] Step 9:

[0270] Emotion engine: As a result of the analysis, it generates a result such as "the user is feeling stressed" and feeds that result back to the server.

[0271] Step 10:

[0272] Server: Adjust the advice content based on feedback from the emotion engine. For example, add "skin care products with relaxing effects that help relieve stress" or "mental care advice."

[0273] Step 11:

[0274] Server: Formats the final analysis results and recommended product list into JSON format for the user and generates an API response to send to the device.

[0275] Step 12:

[0276] Terminal: Receives the response from the server, parses the results, and prepares them for display in the user interface. For example,

[0277] Recommended tips: Use a moisturizing lotion. Listen to relaxing music for mental care.

[0278] Recommended Products:

[0279] 1. Moisturizing Lotion A - 2,000 yen

[0280] 2. Whitening Serum B - 3,000 yen

[0281] 3. Relaxation Balm C - 1,500 yen

[0282] Step 13:

[0283] User: Review the advice and product recommendations to implement the skin care routine that best suits them. Purchase the products shown, if desired.

[0284] In this way, the beauty care support system of the present invention efficiently analyzes the user's input information and emotional state, and provides individually customized beauty advice and product recommendations.

[0285] Example 2

[0286] 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."

[0287] In modern beauty care, there is a demand for optimal skin care plans tailored to individual users' needs. However, conventional systems are unable to provide advice that takes into account the user's emotional state, making it difficult to fully increase user satisfaction. Another issue is that past data cannot be effectively utilized to improve future advice.

[0288] 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.

[0289] In this invention, the server includes means for accepting input from a user, means for transmitting the accepted input to a computer, means for the computer to use artificial intelligence to analyze the user's input, means for analyzing the user's emotions using facial recognition data, and means for providing the user with the analysis results, thereby enabling the provision of an optimal skin care plan that takes into account the user's individual needs and emotional state.

[0290] "User" refers to an individual who uses the system to receive beauty care advice.

[0291] "Input" is information that a user provides to the system, including skin condition, concerns, goals, and facial recognition data.

[0292] "Means" refers to a technical device for performing a certain function or combination of functions.

[0293] "Computer" refers to a computer system for processing and storing data.

[0294] "Analysis" refers to data processing to generate an optimal skin care plan based on information provided by the user.

[0295] "Artificial intelligence" refers to a computer program that analyzes large amounts of data, recognizes patterns and relationships, and derives optimal solutions.

[0296] "Facial recognition" refers to an image processing technology for detecting emotions and features from a user's face.

[0297] "Emotion" refers to the psychological state, such as stress or relaxation, that the user is experiencing.

[0298] A "skin care plan" refers to a list of recommended beauty care methods and products based on the user's skin condition and goals.

[0299] A "database" refers to an information management system for systematically storing analysis results and past data.

[0300] The present invention provides a beauty care support system that proposes an optimal skin care plan based on information provided by a user and provides advice that takes the user's emotions into consideration. This system mainly consists of the following components:

[0301] User Input Interface

[0302] Users access the application using a smartphone or PC. A form appears on the screen, allowing them to enter their skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles, acne), and goals (e.g., whitening, moisturizing, anti-aging). After entering this information, the user uses the camera function to perform facial recognition and record their current emotional state.

[0303] Data transmission

[0304] The device converts the user-entered information and facial recognition data into JSON format and sends it to the server using a secure communication protocol (e.g., HTTPS).

[0305] Data processing and analysis

[0306] The server receives data sent from the device and stores it in a NoSQL database (e.g., MongoDB). The stored data is analyzed using an artificial intelligence model and emotion engine. The artificial intelligence model uses TENSORFLOW (registered trademark) and PyTorch, which generates an optimal skin care plan based on the user's skin condition, concerns, and goals. The emotion engine uses OpenCV and Dlib to analyze the user's emotions based on facial recognition data.

[0307] Advice Generation

[0308] The server integrates the analysis results from the artificial intelligence model and emotion engine to generate optimal advice for the user, such as skin care products as well as mental care advice to help relieve stress.

[0309] Providing advice

[0310] The generated advice is formatted in a user-friendly format and sent to the terminal, which displays the advice in a user interface for the user to view.

[0311] Specific examples

[0312] For example, consider a scenario in which a user inputs the following information: "Dry skin," "I'm concerned about blemishes," and "I want to brighten my skin," along with emotional data such as "stress" recognized using the camera function.

[0313] The device converts this information into JSON format and sends it. The server receives the data, stores it in a database, and then analyzes it using an artificial intelligence model and emotion engine. It then generates advice such as: "Use a lotion with moisturizing properties," "Use a beauty serum with whitening ingredients," or "Try an aroma that has a relaxing effect."

[0314] Prompt Sentence Examples

[0315] "If a user launches the application and enters 'dry skin,' 'stress,' and 'whitening' into the input form, how will the system respond?"

[0316] Based on this input data, the server generates an optimal skin care plan and emotional advice and provides it to the user.

[0317] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0318] Step 1:

[0319] A user launches the application and enters information into an input form. Specifically, the user provides skin condition (e.g., "dry skin"), concerns (e.g., "worried about dark spots"), goals (e.g., "whitening"), and facial recognition data using the camera function. This input includes text data and image data. The output is an input dataset containing all the information provided by the user.

[0320] Step 2:

[0321] The device converts the input data and facial recognition data into JSON format. Specifically, it structures the digital input and image data into a JSON object like this:

[0322] json

[0323] {

[0324] "skin_type": "dry skin",

[0325] "concerns": "stains",

[0326] "goals": "whitening",

[0327] "emotion_data": "stress"

[0328] }

[0329] Based on this input data, it generates JSON data converted into an appropriate format. The output is structured JSON format data.

[0330] Step 3:

[0331] The terminal sends JSON data to the server. Specifically, the data is sent to the server using a secure communication protocol such as HTTPS. The input is the JSON data, and the output is a confirmation that the server has received the data.

[0332] Step 4:

[0333] The server stores the received data in a database. Specifically, it inserts data into a NoSQL database (e.g., MongoDB). The input is JSON data, and the output is a record stored in the database.

[0334] Step 5:

[0335] The server passes the stored data to an AI model, which then generates a skin care plan. Specifically, the data is analyzed using an AI framework (e.g., TensorFlow or PyTorch). The input is the stored user data, and the output is a skin care plan (e.g., "lotion with moisturizing effects" or "serum containing whitening ingredients") as the analysis result.

[0336] Step 6:

[0337] The server passes the facial recognition data to the emotion engine to analyze the emotion. Specifically, emotion analysis is performed using a facial recognition library (e.g., OpenCV or Dlib). The input is the facial recognition data, and the output is the analyzed emotional state (e.g., "feeling stressed").

[0338] Step 7:

[0339] The server integrates the analysis results from the AI ​​model and the emotion engine to generate optimal advice. Specifically, it constructs additional advice based on the skin care plan and emotional state. The input is the skin care plan and emotional state, and the output is comprehensive advice provided to the user (e.g., "Use a moisturizing lotion" or "Try an aroma that has a relaxing effect").

[0340] Step 8:

[0341] The server sends the generated advice to the terminal, formatting it in a user-friendly format and transmitting it using a secure communication protocol such as HTTPS. The input is the overall advice, and the output is the formatted advice sent to the terminal.

[0342] Step 9:

[0343] The device displays the received advice in a user interface. Specifically, it uses an appropriate UI framework (e.g., React Native or Flutter (registered trademark)) to visually display the advice. The input is the formatted advice, and the output is the display content that the user can view.

[0344] Step 10:

[0345] The user performs skin care based on the displayed advice and purchases recommended products as necessary. Specifically, the user performs actual skin care based on the provided advice and product list. The input is the displayed advice and product list, and the output is the user's actual skin care action.

[0346] (Application example 2)

[0347] 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."

[0348] Conventional beauty care support systems only provide skin care advice based on user input, but lack the ability to adjust the advice based on the user's emotional state. Furthermore, the lack of a system for users to receive real-time skin care advice in physical stores makes it difficult for them to efficiently select and purchase skin care products. To address these issues, a beauty care support system that recognizes the user's emotions and adjusts advice accordingly is needed.

[0349] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0350] In this invention, the server includes means for accepting input from a user, means for transmitting the accepted input to the server, means for the server to use artificial intelligence to analyze the user's input, means for analyzing the user's emotions using facial recognition technology, means for adjusting advice content based on the emotion analysis results, and means for providing the analysis results to the user. This enables optimal advice based on the user's individual needs and emotional state to be provided in real time, making it possible to streamline selection and purchase of skin care products in physical stores.

[0351] The "means for accepting input from the user" is intended to provide an interface that allows the user to input information such as their own skin condition, concerns, and goals.

[0352] "Means for transmitting accepted input to a server" refers to a communication means for transferring data entered by a user to a remote server.

[0353] "Means for the server to use artificial intelligence to analyze user input" refers to artificial intelligence technology used to recommend optimal skin care regimes and products based on the user's input.

[0354] "Means for analyzing a user's emotions using facial recognition technology" refers to technology for recognizing and analyzing a user's emotional state from a facial image.

[0355] The "means for adjusting the content of advice based on the results of emotion analysis" is a means for dynamically changing the content of skin care advice provided to the user based on the results of emotion analysis obtained using face recognition technology.

[0356] "Means for providing analysis results to the user" refers to an interface that provides feedback of the analysis results to the user in visual or text format, allowing the user to act on the results.

[0357] The beauty care support system of this invention begins when a user accesses an application using a smartphone, smart glasses, or other device and inputs information about their skin condition, concerns, and goals. This information is sent from the device to a server. The server then uses artificial intelligence technology to analyze the user's input data and generate an optimal skin care plan and product recommendations. The server also uses the device's camera for facial recognition to analyze the user's emotional state. The emotional analysis results are also sent to the server, and the advice content is adjusted based on this.

[0358] Hardware and software used

[0359] The main hardware and software used in this system are as follows:

[0360] Smartphone / Smart Glasses: Equipped with a camera for accepting user input and facial recognition, it also functions as a device for receiving real-time skin care advice.

[0361] Communication method: Uses a data communication network (e.g., Wi-Fi, 4G / 5G) to transmit user input information and facial recognition data to the server.

[0362] Server: Receives, stores, and analyzes data using artificial intelligence (e.g., TensorFlow, PyTorch) and emotion engines (e.g., Affectiva).

[0363] Database: A database for storing user information and analysis results (e.g., MySQL (registered trademark), MongoDB).

[0364] Data processing and calculation

[0365] 1. Accepting user input: The user enters information such as skin condition, concerns, and goals through a smartphone or smart glasses interface. This includes text forms and selection lists.

[0366] 2. Facial Recognition and Emotion Analysis: The user's face is photographed with a camera and facial recognition technology is used to analyze their emotions. By analyzing their facial expressions, the system determines their current emotional state (e.g., stress, joy).

[0367] 3. Sending data to the server: The information entered by the user and the facial recognition data are sent to the server in JSON format, which is then received and stored in a database.

[0368] 4. AI analysis: The server uses AI models to generate a skin care plan based on the received user data, recommending products and usage methods based on skin condition and concerns.

[0369] 5. Advice adjustment based on emotion analysis results: The emotion engine adjusts the skin care advice content based on the emotion data analyzed. For example, if the user is feeling stressed, it will add products and relaxation techniques that will help relieve stress.

[0370] Examples and prompts

[0371] As a concrete example, let us consider how a user might use the system in the following sequence:

[0372] User: Wears smart glasses, goes to the skin care section in the store, launches the application, and enters skin information.

[0373] Camera: Performs facial recognition and detects emotions of stress.

[0374] Server: Receives user input and facial recognition data. The AI ​​model recommends moisturizing products and adds stress reduction advice based on emotional data.

[0375] Smart glasses: Show results to users in real time and recommend specific skin care products.

[0376] Prompt Sentence Examples

[0377] It accepts user input, performs emotion recognition, and provides skin care advice.

[0378] User's skin information: dry skin, spots, whitening purpose

[0379] Emotional data: Stress

[0380] This system can provide optimal advice in real time based on the user's individual needs and emotional state, making it possible to streamline the selection and purchase of skin care products in physical stores.

[0381] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0382] Step 1:

[0383] A user launches an application on their smartphone or smart glasses and inputs information about their skin condition (e.g., dry skin), concerns (e.g., dark spots), and goals (e.g., skin whitening). This input information is collected using text forms and selection lists.

[0384] Step 2:

[0385] The device receives the input information and converts it into JSON format data, which contains all the information entered by the user. The device also activates the facial recognition camera and takes a picture of the user's face.

[0386] Step 3:

[0387] Applying facial recognition technology based on facial images captured by a camera, the system analyzes the user's emotional state. It uses an emotion engine (e.g., Affectiva) to process facial expression data and generates emotion data (e.g., stress) as a result of the analysis.

[0388] Step 4:

[0389] The device compiles the user's input data and emotional data and sends it to the server. The data, integrated in JSON format, includes skin information, concerns, goals, and emotional data. The communication method is Wi-Fi or mobile data.

[0390] Step 5:

[0391] The server analyzes the received JSON data and stores it in a database. The received data is divided into individual items such as skin information and concerns, and stored in the database for analysis.

[0392] Step 6:

[0393] An AI model (e.g., TensorFlow, PyTorch) on the server generates an optimal skin care plan based on the stored user data. The AI ​​model suggests specific products and usage methods based on the input skin data and concerns.

[0394] Step 7:

[0395] The emotion engine analyzes the emotion data on the server and adjusts the advice content based on the results. For example, if the user is feeling stressed, advice or products that will help relieve stress (such as products with relaxing scents) will be added.

[0396] Step 8:

[0397] The server converts the generated advice back into JSON format and sends it to the device, where the emotion analysis results and the skin care plan are integrated and returned to the user.

[0398] Step 9:

[0399] The device displays the received data through a user interface, providing a visual list of specific skin care products and instructions on how to use them, allowing the user to act on the advice.

[0400] This step allows users to receive appropriate skin care advice in real time even in physical stores, enabling efficient product selection and purchase.

[0401] 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.

[0402] 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.

[0403] 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.

[0404] [Second embodiment]

[0405] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0406] 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.

[0407] 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).

[0408] 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.

[0409] 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.

[0410] 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).

[0411] 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.

[0412] 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.

[0413] 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.

[0414] 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.

[0415] In the smart glasses 214, 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.

[0416] 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."

[0417] The beauty care support system of the present invention is a system for providing optimal skin care advice based on information input by a user. This system includes an interface for receiving input from a user, a communication means for transmitting the input to a server, a server for storing the received data in a database and analyzing it, and a means for providing the user with the analysis results.

[0418] First, the user accesses the application using a device such as a smartphone or PC. The user interface displays a form for entering information about the user's skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles, acne), and goals (e.g., whitening, moisturizing, anti-aging). When the user enters this information into the form and clicks the submit button, the information is sent to the server via the device.

[0419] The server receives the user's input and stores it in a database. The stored information is then analyzed by an AI model running on the server. The AI ​​model compares the data with past data to recommend optimal skincare advice and products. This analysis is performed using deep learning algorithms to generate customized results for each user.

[0420] The analysis results are sent from the server to the device and provided to the user. For example, if a user inputs that they have "dry skin" and are "concerned about blemishes," the server's AI model will recommend a "lotion with high moisturizing effects" or a "serum containing whitening ingredients." This information is displayed on the user interface, and the user can follow the recommended advice to perform skin care.

[0421] As a specific example, the following sequence of events will be described:

[0422] User: Launches the application and enters "dry skin," "worried about blemishes," and "want to brighten my skin" in the form that appears on the screen.

[0423] Terminal: Generates and sends JSON format data to send the input content to the server.

[0424] json

[0425] {

[0426] "skin_type": "dry skin",

[0427] "concerns": "stains",

[0428] "goals": "whitening"

[0429] }

[0430] Server: Stores the received data in a database. After storing it, it calls the AI ​​model and performs analysis based on the input data.

[0431] AI model: As a result of the analysis, it generates advice such as "Use a moisturizing lotion" or "Use a serum containing whitening ingredients" along with a list of recommended products.

[0432] Server: Formats the generated results in a user-friendly format and sends them to the terminal.

[0433] Terminal: Receives the results and displays them in a user interface.

[0434] User: Carries out skin care based on the displayed advice and purchases the recommended products.

[0435] As a result, the beauty care support system of the present invention can provide optimal skin care advice according to the individual needs of the user.

[0436] The processing flow will be explained below.

[0437] Step 1:

[0438] User: Launches the application and clicks the "Start Skin Diagnosis" button displayed on the home screen. A form is displayed, and the user inputs their skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles), and goals (e.g., moisturizing, whitening).

[0439] Step 2:

[0440] Device: Collects information entered by the user and generates an API request to send to the server. For example, format the data as "skin_type=dry skin&concerns=blemishes&goals=whitening".

[0441] Step 3:

[0442] Server: Receives API requests sent from the device, analyzes the received data, and temporarily stores it in memory.

[0443] Step 4:

[0444] Server: Store the received data in a database. For example, insert the data using an SQL query like this:

[0445] sql

[0446] INSERT INTO user_skin_data (user_id, skin_type, concerns, goals)

[0447] VALUES ('12345', 'Dry Skin', 'Blemishes', 'Whitening');

[0448] Step 5:

[0449] Server: Passes the saved user skin data to the AI ​​model and begins analysis. The AI ​​model generates an optimal skin care plan and product list based on the user's skin data.

[0450] Step 6:

[0451] Server: Receives the analysis results returned by the AI ​​model and converts them into a user-friendly format. For example, it generates advice such as "Use a moisturizing lotion" or "Use a beauty serum containing whitening ingredients."

[0452] Step 7:

[0453] Server: Generates an API response to send the formatted analysis results and product list to the user. The response is converted to JSON format.

[0454] Step 8:

[0455] Terminal: Receives the response from the server, parses it, and prepares it for display in the user interface. For example,

[0456] Recommended advice: Use a moisturizing lotion.

[0457] Recommended Products:

[0458] 1. Moisturizing Lotion A - 2,000 yen

[0459] 2. Whitening Serum B - 3,000 yen

[0460] Step 9:

[0461] User: Review the advice and product recommendations to implement the skin care routine that best suits them. Purchase the products shown, if desired.

[0462] In this way, the beauty care support system of the present invention efficiently analyzes the information input by the user and provides individually customized beauty advice.

[0463] Example 1

[0464] 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."

[0465] In recent years, the amount of information related to beauty care has increased, making it difficult to find the right skin care products and methods that suit individual skin conditions, concerns, and goals. In order to enable users to efficiently implement skin care that is optimal for their skin, a system is needed that can integrate and analyze expert knowledge and vast amounts of information to provide accurate advice.

[0466] 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.

[0467] In this invention, the server includes means for accepting input from a user, means for converting the accepted input into a data format and sending it to the server, means for the server to analyze the input information stored in the database using artificial intelligence, and means for formatting the analysis results and providing them to the user, thereby making it possible to efficiently provide optimal skin care advice tailored to the user's individual skin condition, concerns, and goals.

[0468] A "user" is someone who uses the system to input their skin condition, concerns, and goals and receive skin care advice.

[0469] "Input" refers to the user providing information such as their skin condition, concerns, and goals to the system.

[0470] A "means" is a specific method or device component for achieving a specific purpose.

[0471] "Converting to a data format" means converting the information provided by the user into a format that can be analyzed by the server (for example, JSON format).

[0472] A "server" is a computer system that receives, stores, analyzes data over a network, and transmits the results of that analysis.

[0473] A "database" is an information system for storing and managing user input information, past skin care history, and product information.

[0474] "Artificial intelligence" refers to machine learning models and algorithms that analyze data and generate optimal skin care advice for users.

[0475] "Analysis" is the process of deriving optimal skin care advice based on the data provided by the user.

[0476] "Formatting" refers to converting the generated analysis results into a format that is easy for the user to understand.

[0477] "Providing" refers to showing the analysis results to the user or making them accessible to the user.

[0478] The beauty care support system of the present invention is a system that uses artificial intelligence to provide optimal skin care advice based on the skin condition, concerns, and goals provided by the user.

[0479] Hardware and software used

[0480] Hardware: Computing devices (terminals) such as smartphones and PCs, central servers, database servers

[0481] Software: Dedicated applications (e.g., "skin care apps"), database management systems, artificial intelligence models (e.g., "skin care AI"), communication protocols (HTTP / HTTPS)

[0482] Data processing and calculation

[0483] The system provides optimal skin care advice to users through the following process.

[0484] Collecting user input information

[0485] The user launches the dedicated application and enters their skin condition (e.g., "dry skin"), concerns (e.g., "blemishes"), and goals (e.g., "whitening") into the displayed form.

[0486] Sending and Receiving Data

[0487] The entered information is collected on the terminal, converted into JSON format, and then sent to the server using the HTTP protocol, where it is stored in a database.

[0488] Data analysis

[0489] The data stored on the server is analyzed by an artificial intelligence model called "Skincare AI," which uses deep learning algorithms to generate an optimal skincare plan based on past user data and skincare product information.

[0490] Providing analysis results

[0491] The server formats the generated analysis results, converts them into a user-friendly format, and sends them to the device, which displays the results and allows the user to check the recommended skin care advice.

[0492] Examples of concrete examples and prompts

[0493] For example, the following sequence will be described:

[0494] User Examples

[0495] 1. User: Launches the "skin care app" on a smartphone, enters "dry skin," "blemishes," and "whitening" in the input form, and clicks the send button.

[0496] 2. Terminal: Convert the input information into JSON format and send it to the server as follows:

[0497] json

[0498] {

[0499] "skin_type": "dry skin",

[0500] "concerns": "stains",

[0501] "goals": "whitening"

[0502] }

[0503] 3. Server: The received data is stored in a database and analyzed using "Skincare AI." As a result of the analysis, information is generated that recommends products such as "moisturizing lotion" or "whitening serum."

[0504] 4. Terminal: Receives the analysis results and displays them on the user interface.

[0505] 5. User: Check the displayed advice and use the recommended lotion or serum.

[0506] Through this system, users can efficiently receive optimal skin care advice tailored to their individual needs.

[0507] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0508] Step 1:

[0509] Users launch the dedicated application using their smartphone or PC, enter their skin condition (e.g., "dry skin"), concerns (e.g., "blemishes"), and goals (e.g., "whitening") into the form displayed on the user interface, and click the submit button.

[0510] Input: User's skin condition, concerns, and goals

[0511] Output: User input data

[0512] Specific operation: The user enters "dry skin," "blemishes," and "whitening" and clicks the send button.

[0513] Step 2:

[0514] The terminal receives the data entered by the user, converts it into JSON format, and sends the converted data to the server using the HTTP protocol.

[0515] Input: User-entered data

[0516] Output: JSON format data

[0517] Specific operation: The device generates the following JSON data.

[0518] json

[0519] {

[0520] "skin_type": "dry skin",

[0521] "concerns": "stains",

[0522] "goals": "whitening"

[0523] }

[0524] Then, send the JSON data to the server.

[0525] Step 3:

[0526] The server analyzes the JSON data received from the terminal and stores it in a database.

[0527] Input: User data in JSON format

[0528] Output: User data stored in the database

[0529] Specific operation: The server stores the received JSON data in the "skin care database."

[0530] Step 4:

[0531] The server uses an artificial intelligence model called "Skincare AI" to analyze user data stored in a database, deriving an optimal skin care plan based on the user's skin condition, concerns, and goals.

[0532] Input: User data stored in the database

[0533] Output: Analysis results (optimal skin care plan)

[0534] Specific operation: The artificial intelligence model "Skincare AI" generates the following analysis results.

[0535] "Highly moisturizing lotion"

[0536] "Whitening beauty serum"

[0537] Step 5:

[0538] The server formats the analysis results into a format that is easy for the user to read and sends them to the terminal.

[0539] Input: Analysis results

[0540] Output: Result data in a user-friendly format

[0541] Specific operation: The server converts the generated analysis results into a response format and sends it to the terminal via the HTTP protocol.

[0542] Step 6:

[0543] The terminal displays the results received from the server on a user interface.

[0544] Input: Result data in a user-friendly format

[0545] Output: Advice displayed in the user interface

[0546] Specific operation: The device displays the analysis results on the screen so that the user can check them. For example, it displays "lotion with high moisturizing effect" and "beauty serum containing whitening ingredients."

[0547] Step 7:

[0548] Users can check the skin care advice displayed on the device, take appropriate skin care measures based on the advice, and, if necessary, purchase the recommended products and incorporate them into their daily skin care routine.

[0549] Input: Advice displayed in the user interface

[0550] Output: Skin care performed by the user

[0551] Specific operation: The user purchases the recommended lotion or serum and applies it to their daily skin care routine.

[0552] (Application example 1)

[0553] 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."

[0554] In conventional beauty care support systems, users typically enter information about their skin condition and concerns online and receive analysis results, but these systems do not provide immediate support in physical stores. This makes it difficult to provide customized skin care advice to customers directly in stores, posing a challenge in creating a smooth customer experience. In particular, visitors to beauty specialty stores often want to try out and purchase products on the spot, and meeting this need requires immediate, appropriate skin care advice and product recommendations.

[0555] 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.

[0556] In this invention, the server includes means for accepting input from a user, means for transmitting the accepted input to the server, means for the server to use artificial intelligence to analyze the user's input, means for providing the analysis results to the user, means for a customer to input their skin condition, concerns, and goals using a dedicated terminal in a physical store, and means for transmitting the input data to the server, which then generates customized skin care advice and a list of recommended products and provides them to the user in real time, thereby enabling instantaneous customized skin care advice and product suggestions to be provided to customers in physical stores.

[0557] The "means for accepting input from the user" is a system device that allows customers to input information such as their skin condition, concerns, and goals.

[0558] The "means for transmitting the received input to the server" is a communication means for transferring the information input by the user to the server.

[0559] "Means by which the server uses artificial intelligence to analyze user input" refers to machine learning models or deep learning algorithms to analyze the information received from the user and generate optimal skin care advice.

[0560] The "means for providing the analysis results to the user" is a system device that returns the analysis results generated by the server to the user so that the results can be confirmed and used.

[0561] "A means for customers to input their skin condition, concerns, and goals using a dedicated device in a physical store" refers to a means for customers to input information using tablets or smartphones installed in physical stores.

[0562] "Means for sending the input data to a server, which then generates customized skin care advice and a list of recommended products and provides them to the user in real time" refers to a series of processes in which the information input by the user is sent to a server, and the server immediately generates analysis results and communicates them to the user.

[0563] "Customized skin care advice" refers to appropriate skin care instructions suggested based on a user's individual skin condition, concerns, and goals.

[0564] The "recommended product list" is a list of specific skin care products provided to the user based on the analysis results of the server.

[0565] To improve customer experience in brick-and-mortar stores, this invention provides a system that allows customers to input their skin condition, concerns, and goals using a dedicated terminal, and instantly provides customized skin care advice and a list of recommended products. Specific means for implementing this system are described below.

[0566] First, customers access the application using a dedicated tablet or smartphone installed in a physical store. The application is built using React Native, and the user interface displays a form for entering "skin type," "concerns," and "goals." When the customer enters this information and clicks the submit button, the information is sent to the server in JSON format.

[0567] The server is equipped with a web server built using Node.js and Express. This server stores data received from customers in a database and analyzes it. This analysis is performed using an artificial intelligence model that uses a deep learning algorithm. The artificial intelligence model generates optimal skin care advice and a list of recommended products based on each user's skin condition, concerns, and goals.

[0568] The generated analysis results are sent in real time from the server to the customer's dedicated device. The customer can check the analysis results on the spot and try out the recommended skin care products. The analysis results are also saved in a database so that the customer can refer to them again in the future.

[0569] As an example of how this system works, the following prompts could be input to the AI ​​model:

[0570] "Please suggest a way to provide optimal skin care advice to users based on the following input data.

[0571] Input data:

[0572] Skin type: Dry skin

[0573] Problem: Age spots

[0574] Goal: whitening

[0575] Please provide your suggested advice and recommended product list.”

[0576] In this way, instant, customized skin care advice can be provided in physical stores, significantly improving the customer experience.

[0577] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0578] Step 1:

[0579] Users access the application using a dedicated device (tablet or smartphone) installed in a physical store. The application is built using React Native and displays a form where users can enter their "skin type," "concerns," and "goals."

[0580] Input: User inputs skin type, concerns, and goals

[0581] Output: Input data (JSON format)

[0582] Step 2:

[0583] The device sends the data entered by the user in JSON format to the server, which then transfers the data to the server via a communication means and prepares it for analysis.

[0584] Input: Data entered by the user

[0585] Output: The input data in JSON format is sent to the server.

[0586] Step 3:

[0587] The server stores the received JSON formatted data in a database, allowing for subsequent analysis and reuse of the information.

[0588] Input: JSON format data sent from the terminal

[0589] Output: Input data stored in a database

[0590] Step 4:

[0591] The server then analyzes the stored data using an artificial intelligence model that uses deep learning algorithms to compare it with past data and generate optimal skincare advice and product recommendations.

[0592] Input: Input data stored in the database

[0593] Output: Analysis results (skin care advice and recommended product list)

[0594] Step 5:

[0595] The server then sends the generated analysis results to the user's dedicated device in real time, allowing the user to instantly view customized advice and recommended products.

[0596] Input: Analysis results

[0597] Output: Analysis results are sent to the device.

[0598] Step 6:

[0599] The device displays the analysis results received from the server on a user interface, allowing the user to immediately try or purchase the recommended skin care products.

[0600] Input: Analysis results sent from the server

[0601] Output: Analysis results displayed in the user interface

[0602] Step 7:

[0603] The server stores the analysis results in a database so that the user can refer to them again in the future. This operation makes it easier for the user to manage their skin care history.

[0604] Input: Generated analysis results

[0605] Output: Analysis results stored in a database

[0606] The above steps create a system that can provide instant, customized skin care advice and recommended products in a physical store.

[0607] 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.

[0608] The beauty care support system of the present invention is a system for providing optimal skin care advice based on information input by a user, and is also capable of recognizing the user's emotions and providing advice based thereon. This system includes an interface for receiving input from a user, a communication means for transmitting the input to a server, a server for storing the received data in a database and analyzing it, an emotion engine for recognizing emotions, and a means for providing the analysis results to the user.

[0609] First, the user accesses the application using a device such as a smartphone or PC. The user interface displays a form for entering information about the user's skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles, acne), and goals (e.g., whitening, moisturizing, anti-aging). When the user enters this information into the form and clicks the submit button, the information is sent to the server via the device.

[0610] The server receives the user's input information and stores it in a database. The stored information is analyzed by the server's AI model and emotion engine. First, the AI ​​model analyzes the user's skin data and generates an optimal skin care plan and product list. Next, the emotion engine uses the user's input data and facial recognition technology to recognize emotions and analyze the user's current emotional state.

[0611] Based on this, the server takes into account feedback from the emotion engine and adjusts the advice content. For example, if the user is feeling stressed, it can add products with relaxing scents or mental care advice that will help relieve stress.

[0612] As a specific example, the following sequence of events will be described:

[0613] User: Launches the application and enters "dry skin," "worried about dark spots," and "want to brighten my skin" into the form displayed on the screen. Furthermore, the application uses the camera function to perform facial recognition and automatically recognize the user's current emotional state.

[0614] Terminal: Generates and sends JSON format data to send the input content and facial recognition data to the server.

[0615] json

[0616] {

[0617] "skin_type": "dry skin",

[0618] "concerns": "stains",

[0619] "goals": "whitening",

[0620] "emotion_data": "stress"

[0621] }

[0622] Server: Stores the received data in a database. After storing it, it calls the AI ​​model and performs analysis based on the input data.

[0623] AI model: As a result of the analysis, it generates advice such as "Use a lotion with moisturizing effects" or "Use a beauty serum that contains whitening ingredients."

[0624] Emotion engine: Analyzes the user's emotional state based on facial recognition data and feeds the analysis results back to the server. For example, it generates a result such as "feeling stressed."

[0625] Server: Adjust the advice content based on feedback from the emotion engine. For example, add skin care products or mental care advice that can help relieve stress.

[0626] Server: Formats the generated results in a user-friendly format and sends them to the terminal.

[0627] Terminal: Receives the results and displays them in a user interface.

[0628] User: Carries out skin care based on the displayed advice and purchases recommended products as needed.

[0629] This allows the beauty care support system of the present invention to provide optimal skin care advice according to the individual needs and emotional state of the user.

[0630] The processing flow will be explained below.

[0631] Step 1:

[0632] User: Launches the application and clicks the "Start Skin Diagnosis" button displayed on the home screen. A form is displayed, in which the user enters their skin condition, concerns, and goals. They then use the camera to take a photo of their face, which provides emotional data to the emotion engine.

[0633] Step 2:

[0634] Terminal: Collects skin information entered by the user and a face photo taken with the camera, and generates JSON format data to send to the server. For example, the data is formatted as "skin_type=dry skin&concerns=blemishes&goals=whitening&emotion_data=face photo binary data".

[0635] Step 3:

[0636] Server: Receives API requests sent from the device, extracts the user's input and emotion data, and temporarily stores the received data in memory.

[0637] Step 4:

[0638] Server: Store the received user data in the database. Insert the data using the following SQL query:

[0639] sql

[0640] INSERT INTO user_skin_data (user_id, skin_type, concerns, goals, emotion_data)

[0641] VALUES ('12345', 'Dry skin', 'Blemishes', 'Whitening', 'Facial photo binary data');

[0642] Step 5:

[0643] Server: Passes the saved user skin data to the AI ​​model and begins analysis. The AI ​​model generates an optimal skin care plan and product list based on the user's skin data.

[0644] Step 6:

[0645] AI model: As a result of the analysis, it generates advice such as "Use a moisturizing lotion" or "Use a serum containing whitening ingredients" along with a list of recommended products.

[0646] Step 7:

[0647] Server: Receives the analysis results of the AI ​​model and then analyzes them using the emotion engine.

[0648] Step 8:

[0649] Server: Passes emotion data to the emotion engine to analyze the user's emotional state. The emotion engine uses facial recognition technology to identify the user's emotional state (happiness, sadness, stress, etc.).

[0650] Step 9:

[0651] Emotion engine: As a result of the analysis, it generates a result such as "the user is feeling stressed" and feeds that result back to the server.

[0652] Step 10:

[0653] Server: Adjust the advice content based on feedback from the emotion engine. For example, add "skin care products with relaxing effects that help relieve stress" or "mental care advice."

[0654] Step 11:

[0655] Server: Formats the final analysis results and recommended product list into JSON format for the user and generates an API response to send to the device.

[0656] Step 12:

[0657] Terminal: Receives the response from the server, parses the results, and prepares them for display in the user interface. For example,

[0658] Recommended tips: Use a moisturizing lotion. Listen to relaxing music for mental care.

[0659] Recommended Products:

[0660] 1. Moisturizing Lotion A - 2,000 yen

[0661] 2. Whitening Serum B - 3,000 yen

[0662] 3. Relaxation Balm C - 1,500 yen

[0663] Step 13:

[0664] User: Review the advice and product recommendations to implement the skin care routine that best suits them. Purchase the products shown, if desired.

[0665] In this way, the beauty care support system of the present invention efficiently analyzes the user's input information and emotional state, and provides individually customized beauty advice and product recommendations.

[0666] Example 2

[0667] 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."

[0668] In modern beauty care, there is a demand for optimal skin care plans tailored to individual users' needs. However, conventional systems are unable to provide advice that takes into account the user's emotional state, making it difficult to fully increase user satisfaction. Another issue is that past data cannot be effectively utilized to improve future advice.

[0669] 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.

[0670] In this invention, the server includes means for accepting input from a user, means for transmitting the accepted input to a computer, means for the computer to use artificial intelligence to analyze the user's input, means for analyzing the user's emotions using facial recognition data, and means for providing the user with the analysis results, thereby enabling the provision of an optimal skin care plan that takes into account the user's individual needs and emotional state.

[0671] "User" refers to an individual who uses the system to receive beauty care advice.

[0672] "Input" is information that a user provides to the system, including skin condition, concerns, goals, and facial recognition data.

[0673] "Means" refers to a technical device for performing a certain function or combination of functions.

[0674] "Computer" refers to a computer system for processing and storing data.

[0675] "Analysis" refers to data processing to generate an optimal skin care plan based on information provided by the user.

[0676] "Artificial intelligence" refers to a computer program that analyzes large amounts of data, recognizes patterns and relationships, and derives optimal solutions.

[0677] "Facial recognition" refers to an image processing technology for detecting emotions and features from a user's face.

[0678] "Emotion" refers to the psychological state, such as stress or relaxation, that the user is experiencing.

[0679] A "skin care plan" refers to a list of recommended beauty care methods and products based on the user's skin condition and goals.

[0680] A "database" refers to an information management system for systematically storing analysis results and past data.

[0681] The present invention provides a beauty care support system that proposes an optimal skin care plan based on information provided by a user and provides advice that takes the user's emotions into consideration. This system mainly consists of the following components:

[0682] User Input Interface

[0683] Users access the application using a smartphone or PC. A form appears on the screen, allowing them to enter their skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles, acne), and goals (e.g., whitening, moisturizing, anti-aging). After entering this information, the user uses the camera function to perform facial recognition and record their current emotional state.

[0684] Data transmission

[0685] The device converts the user-entered information and facial recognition data into JSON format and sends it to the server using a secure communication protocol (e.g., HTTPS).

[0686] Data processing and analysis

[0687] The server receives data sent from the device and stores it in a NoSQL database (e.g., MongoDB). The stored data is analyzed using an artificial intelligence model and emotion engine. The artificial intelligence model uses TensorFlow and PyTorch, which generates an optimal skin care plan based on the user's skin condition, concerns, and goals. The emotion engine uses OpenCV and Dlib to analyze the user's emotions based on facial recognition data.

[0688] Advice Generation

[0689] The server integrates the analysis results from the artificial intelligence model and emotion engine to generate optimal advice for the user, such as skin care products as well as mental care advice to help relieve stress.

[0690] Providing advice

[0691] The generated advice is formatted in a user-friendly format and sent to the terminal, which displays the advice in a user interface for the user to view.

[0692] Specific examples

[0693] For example, consider a scenario in which a user inputs the following information: "Dry skin," "I'm concerned about blemishes," and "I want to brighten my skin," along with emotional data such as "stress" recognized using the camera function.

[0694] The device converts this information into JSON format and sends it. The server receives the data, stores it in a database, and then analyzes it using an artificial intelligence model and emotion engine. It then generates advice such as: "Use a lotion with moisturizing properties," "Use a beauty serum with whitening ingredients," or "Try an aroma that has a relaxing effect."

[0695] Prompt Sentence Examples

[0696] "If a user launches the application and enters 'dry skin,' 'stress,' and 'whitening' into the input form, how will the system respond?"

[0697] Based on this input data, the server generates an optimal skin care plan and emotional advice and provides it to the user.

[0698] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0699] Step 1:

[0700] A user launches the application and enters information into an input form. Specifically, the user provides skin condition (e.g., "dry skin"), concerns (e.g., "worried about dark spots"), goals (e.g., "whitening"), and facial recognition data using the camera function. This input includes text data and image data. The output is an input dataset containing all the information provided by the user.

[0701] Step 2:

[0702] The device converts the input data and facial recognition data into JSON format. Specifically, it structures the digital input and image data into a JSON object like this:

[0703] json

[0704] {

[0705] "skin_type": "dry skin",

[0706] "concerns": "stains",

[0707] "goals": "whitening",

[0708] "emotion_data": "stress"

[0709] }

[0710] Based on this input data, it generates JSON data converted into an appropriate format. The output is structured JSON format data.

[0711] Step 3:

[0712] The terminal sends JSON data to the server. Specifically, the data is sent to the server using a secure communication protocol such as HTTPS. The input is the JSON data, and the output is a confirmation that the server has received the data.

[0713] Step 4:

[0714] The server stores the received data in a database. Specifically, it inserts data into a NoSQL database (e.g., MongoDB). The input is JSON data, and the output is a record stored in the database.

[0715] Step 5:

[0716] The server passes the stored data to an AI model, which then generates a skin care plan. Specifically, the data is analyzed using an AI framework (e.g., TensorFlow or PyTorch). The input is the stored user data, and the output is a skin care plan (e.g., "lotion with moisturizing effects" or "serum containing whitening ingredients") as the analysis result.

[0717] Step 6:

[0718] The server passes the facial recognition data to the emotion engine to analyze the emotion. Specifically, emotion analysis is performed using a facial recognition library (e.g., OpenCV or Dlib). The input is the facial recognition data, and the output is the analyzed emotional state (e.g., "feeling stressed").

[0719] Step 7:

[0720] The server integrates the analysis results from the AI ​​model and the emotion engine to generate optimal advice. Specifically, it constructs additional advice based on the skin care plan and emotional state. The input is the skin care plan and emotional state, and the output is comprehensive advice provided to the user (e.g., "Use a moisturizing lotion" or "Try an aroma that has a relaxing effect").

[0721] Step 8:

[0722] The server sends the generated advice to the terminal, formatting it in a user-friendly format and transmitting it using a secure communication protocol such as HTTPS. The input is the overall advice, and the output is the formatted advice sent to the terminal.

[0723] Step 9:

[0724] The device displays the received advice in a user interface. Specifically, it uses a suitable UI framework (e.g., React Native or Flutter) to visually display the advice. The input is the formatted advice, and the output is the display content that the user can view.

[0725] Step 10:

[0726] The user performs skin care based on the displayed advice and purchases recommended products as necessary. Specifically, the user performs actual skin care based on the provided advice and product list. The input is the displayed advice and product list, and the output is the user's actual skin care action.

[0727] (Application example 2)

[0728] 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."

[0729] Conventional beauty care support systems only provide skin care advice based on user input, but lack the ability to adjust the advice based on the user's emotional state. Furthermore, the lack of a system for users to receive real-time skin care advice in physical stores makes it difficult for them to efficiently select and purchase skin care products. To address these issues, a beauty care support system that recognizes the user's emotions and adjusts advice accordingly is needed.

[0730] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0731] In this invention, the server includes means for accepting input from a user, means for transmitting the accepted input to the server, means for the server to use artificial intelligence to analyze the user's input, means for analyzing the user's emotions using facial recognition technology, means for adjusting advice content based on the emotion analysis results, and means for providing the analysis results to the user. This enables optimal advice based on the user's individual needs and emotional state to be provided in real time, making it possible to streamline selection and purchase of skin care products in physical stores.

[0732] The "means for accepting input from the user" is used to provide an interface that allows the user to input information such as their skin condition, concerns, and goals.

[0733] "Means for transmitting accepted input to a server" refers to a communication means for transferring data entered by a user to a remote server.

[0734] "Means for the server to use artificial intelligence to analyze user input" refers to artificial intelligence technology used to recommend optimal skin care regimes and products based on the user's input.

[0735] "Means for analyzing a user's emotions using facial recognition technology" refers to technology for recognizing and analyzing a user's emotional state from a facial image.

[0736] The "means for adjusting the content of advice based on the results of emotion analysis" is a means for dynamically changing the content of skin care advice provided to the user based on the results of emotion analysis obtained using face recognition technology.

[0737] "Means for providing analysis results to the user" refers to an interface that provides feedback of the analysis results to the user in visual or text format, allowing the user to act on the results.

[0738] The beauty care support system of this invention begins when a user accesses an application using a smartphone, smart glasses, or other device and inputs information about their skin condition, concerns, and goals. This information is sent from the device to a server. The server then uses artificial intelligence technology to analyze the user's input data and generate an optimal skin care plan and product recommendations. The server also uses the device's camera for facial recognition to analyze the user's emotional state. The emotional analysis results are also sent to the server, and the advice content is adjusted based on this.

[0739] Hardware and software used

[0740] The main hardware and software used in this system are as follows:

[0741] Smartphone / Smart Glasses: Equipped with a camera for accepting user input and facial recognition, it also functions as a device for receiving real-time skin care advice.

[0742] Communication method: Uses a data communication network (e.g., Wi-Fi, 4G / 5G) to transmit user input information and facial recognition data to the server.

[0743] Server: Receives, stores, and analyzes data using artificial intelligence (e.g., TensorFlow, PyTorch) and emotion engines (e.g., Affectiva).

[0744] Database: A database (e.g., MySQL, MongoDB) for storing user information and analysis results.

[0745] Data processing and calculation

[0746] 1. Accepting user input: The user enters information such as skin condition, concerns, and goals through a smartphone or smart glasses interface. This includes text forms and selection lists.

[0747] 2. Facial Recognition and Emotion Analysis: The user's face is photographed with a camera and facial recognition technology is used to analyze their emotions. By analyzing their facial expressions, the system determines their current emotional state (e.g., stress, joy).

[0748] 3. Sending data to the server: The information entered by the user and the facial recognition data are sent to the server in JSON format, which is then received and stored in a database.

[0749] 4. AI analysis: The server uses AI models to generate a skin care plan based on the received user data, recommending products and usage methods based on skin condition and concerns.

[0750] 5. Advice adjustment based on emotion analysis results: The emotion engine adjusts the skin care advice content based on the emotion data analyzed. For example, if the user is feeling stressed, it will add products and relaxation techniques that will help relieve stress.

[0751] Examples and prompts

[0752] As a concrete example, let us consider how a user might use the system in the following sequence:

[0753] User: Wears smart glasses, goes to the skin care section in the store, launches the application, and enters skin information.

[0754] Camera: Performs facial recognition and detects emotions of stress.

[0755] Server: Receives user input and facial recognition data. The AI ​​model recommends moisturizing products and adds stress reduction advice based on emotional data.

[0756] Smart glasses: Show results to users in real time and recommend specific skin care products.

[0757] Prompt Sentence Examples

[0758] It accepts user input, performs emotion recognition, and provides skin care advice.

[0759] User's skin information: dry skin, spots, whitening purpose

[0760] Emotional data: Stress

[0761] This system can provide optimal advice in real time based on the user's individual needs and emotional state, making it possible to streamline the selection and purchase of skin care products in physical stores.

[0762] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0763] Step 1:

[0764] A user launches an application on their smartphone or smart glasses and inputs information about their skin condition (e.g., dry skin), concerns (e.g., dark spots), and goals (e.g., skin whitening). This input information is collected using text forms and selection lists.

[0765] Step 2:

[0766] The device receives the input information and converts it into JSON format data, which contains all the information entered by the user. The device also activates the facial recognition camera and takes a picture of the user's face.

[0767] Step 3:

[0768] Applying facial recognition technology based on facial images captured by a camera, the system analyzes the user's emotional state. It uses an emotion engine (e.g., Affectiva) to process facial expression data and generates emotion data (e.g., stress) as a result of the analysis.

[0769] Step 4:

[0770] The device compiles the user's input data and emotional data and sends it to the server. The data, integrated in JSON format, includes skin information, concerns, goals, and emotional data. The communication method is Wi-Fi or mobile data.

[0771] Step 5:

[0772] The server analyzes the received JSON data and stores it in a database. The received data is divided into individual items such as skin information and concerns, and stored in the database for analysis.

[0773] Step 6:

[0774] An AI model (e.g., TensorFlow, PyTorch) on the server generates an optimal skin care plan based on the stored user data. The AI ​​model suggests specific products and usage methods based on the input skin data and concerns.

[0775] Step 7:

[0776] The emotion engine analyzes the emotion data on the server and adjusts the advice content based on the results. For example, if the user is feeling stressed, advice or products that will help relieve stress (such as products with relaxing scents) will be added.

[0777] Step 8:

[0778] The server converts the generated advice back into JSON format and sends it to the device, where the emotion analysis results and the skin care plan are integrated and returned to the user.

[0779] Step 9:

[0780] The device displays the received data through a user interface, providing a visual list of specific skin care products and instructions on how to use them, allowing the user to act on the advice.

[0781] This step allows users to receive appropriate skin care advice in real time even in physical stores, enabling efficient product selection and purchase.

[0782] 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.

[0783] 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.

[0784] 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.

[0785] [Third embodiment]

[0786] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0787] 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.

[0788] 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).

[0789] 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.

[0790] 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.

[0791] 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).

[0792] 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.

[0793] 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.

[0794] 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.

[0795] 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.

[0796] 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.

[0797] 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."

[0798] The beauty care support system of the present invention is a system for providing optimal skin care advice based on information input by a user. This system includes an interface for receiving input from a user, a communication means for transmitting the input to a server, a server for storing the received data in a database and analyzing it, and a means for providing the user with the analysis results.

[0799] First, the user accesses the application using a device such as a smartphone or PC. The user interface displays a form for entering information about the user's skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles, acne), and goals (e.g., whitening, moisturizing, anti-aging). When the user enters this information into the form and clicks the submit button, the information is sent to the server via the device.

[0800] The server receives the user's input and stores it in a database. The stored information is then analyzed by an AI model running on the server. The AI ​​model compares the data with past data to recommend optimal skincare advice and products. This analysis is performed using deep learning algorithms to generate customized results for each user.

[0801] The analysis results are sent from the server to the device and provided to the user. For example, if a user inputs that they have "dry skin" and are "concerned about blemishes," the server's AI model will recommend a "lotion with high moisturizing effects" or a "serum containing whitening ingredients." This information is displayed on the user interface, and the user can follow the recommended advice to perform skin care.

[0802] As a specific example, the following sequence of events will be described:

[0803] User: Launches the application and enters "dry skin," "worried about blemishes," and "want to brighten my skin" in the form that appears on the screen.

[0804] Terminal: Generates and sends JSON format data to send the input content to the server.

[0805] json

[0806] {

[0807] "skin_type": "dry skin",

[0808] "concerns": "stains",

[0809] "goals": "whitening"

[0810] }

[0811] Server: Stores the received data in a database. After storing it, it calls the AI ​​model and performs analysis based on the input data.

[0812] AI model: As a result of the analysis, it generates advice such as "Use a moisturizing lotion" or "Use a serum containing whitening ingredients" along with a list of recommended products.

[0813] Server: Formats the generated results in a user-friendly format and sends them to the terminal.

[0814] Terminal: Receives the results and displays them in a user interface.

[0815] User: Carries out skin care based on the displayed advice and purchases the recommended products.

[0816] As a result, the beauty care support system of the present invention can provide optimal skin care advice according to the individual needs of the user.

[0817] The processing flow will be explained below.

[0818] Step 1:

[0819] User: Launches the application and clicks the "Start Skin Diagnosis" button displayed on the home screen. A form is displayed, and the user inputs their skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles), and goals (e.g., moisturizing, whitening).

[0820] Step 2:

[0821] Device: Collects information entered by the user and generates an API request to send to the server. For example, format the data as "skin_type=dry skin&concerns=blemishes&goals=whitening".

[0822] Step 3:

[0823] Server: Receives API requests sent from the device, analyzes the received data, and temporarily stores it in memory.

[0824] Step 4:

[0825] Server: Store the received data in a database. For example, insert the data using an SQL query like this:

[0826] sql

[0827] INSERT INTO user_skin_data (user_id, skin_type, concerns, goals)

[0828] VALUES ('12345', 'Dry Skin', 'Blemishes', 'Whitening');

[0829] Step 5:

[0830] Server: Passes the saved user skin data to the AI ​​model and begins analysis. The AI ​​model generates an optimal skin care plan and product list based on the user's skin data.

[0831] Step 6:

[0832] Server: Receives the analysis results returned by the AI ​​model and converts them into a user-friendly format. For example, it generates advice such as "Use a moisturizing lotion" or "Use a beauty serum containing whitening ingredients."

[0833] Step 7:

[0834] Server: Generates an API response to send the formatted analysis results and product list to the user. The response is converted to JSON format.

[0835] Step 8:

[0836] Terminal: Receives the response from the server, parses it, and prepares it for display in the user interface. For example,

[0837] Recommended advice: Use a moisturizing lotion.

[0838] Recommended Products:

[0839] 1. Moisturizing Lotion A - 2,000 yen

[0840] 2. Whitening Serum B - 3,000 yen

[0841] Step 9:

[0842] User: Review the advice and product recommendations to implement the skin care routine that best suits them. Purchase the products shown, if desired.

[0843] In this way, the beauty care support system of the present invention efficiently analyzes the information input by the user and provides individually customized beauty advice.

[0844] Example 1

[0845] 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."

[0846] In recent years, the amount of information related to beauty care has increased, making it difficult to find the right skin care products and methods that suit individual skin conditions, concerns, and goals. In order to enable users to efficiently implement skin care that is optimal for their skin, a system is needed that can integrate and analyze expert knowledge and vast amounts of information to provide accurate advice.

[0847] 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.

[0848] In this invention, the server includes means for accepting input from a user, means for converting the accepted input into a data format and sending it to the server, means for the server to analyze the input information stored in the database using artificial intelligence, and means for formatting the analysis results and providing them to the user, thereby making it possible to efficiently provide optimal skin care advice tailored to the user's individual skin condition, concerns, and goals.

[0849] A "user" is someone who uses the system to input their skin condition, concerns, and goals and receive skin care advice.

[0850] "Input" refers to the user providing information such as their skin condition, concerns, and goals to the system.

[0851] A "means" is a specific method or device component for achieving a specific purpose.

[0852] "Converting to a data format" means converting the information provided by the user into a format that can be analyzed by the server (for example, JSON format).

[0853] A "server" is a computer system that receives, stores, analyzes data over a network, and transmits the results of that analysis.

[0854] A "database" is an information system for storing and managing user input information, past skin care history, and product information.

[0855] "Artificial intelligence" refers to machine learning models and algorithms that analyze data and generate optimal skin care advice for users.

[0856] "Analysis" is the process of deriving optimal skin care advice based on the data provided by the user.

[0857] "Formatting" refers to converting the generated analysis results into a format that is easy for the user to understand.

[0858] "Providing" refers to showing the analysis results to the user or making them accessible to the user.

[0859] The beauty care support system of the present invention is a system that uses artificial intelligence to provide optimal skin care advice based on the skin condition, concerns, and goals provided by the user.

[0860] Hardware and software used

[0861] Hardware: Computing devices (terminals) such as smartphones and PCs, central servers, database servers

[0862] Software: Dedicated applications (e.g., "skin care apps"), database management systems, artificial intelligence models (e.g., "skin care AI"), communication protocols (HTTP / HTTPS)

[0863] Data processing and calculation

[0864] The system provides optimal skin care advice to users through the following process.

[0865] Collecting user input information

[0866] The user launches the dedicated application and enters their skin condition (e.g., "dry skin"), concerns (e.g., "blemishes"), and goals (e.g., "whitening") into the displayed form.

[0867] Sending and Receiving Data

[0868] The entered information is collected on the terminal, converted into JSON format, and then sent to the server using the HTTP protocol, where it is stored in a database.

[0869] Data analysis

[0870] The data stored on the server is analyzed by an artificial intelligence model called "Skincare AI," which uses deep learning algorithms to generate an optimal skincare plan based on past user data and skincare product information.

[0871] Providing analysis results

[0872] The server formats the generated analysis results, converts them into a user-friendly format, and sends them to the device, which displays the results and allows the user to check the recommended skin care advice.

[0873] Examples of specific examples and prompts

[0874] For example, the following sequence will be described:

[0875] User Examples

[0876] 1. User: Launches the "skin care app" on a smartphone, enters "dry skin," "blemishes," and "whitening" in the input form, and clicks the send button.

[0877] 2. Terminal: Convert the input information into JSON format and send it to the server as follows:

[0878] json

[0879] {

[0880] "skin_type": "dry skin",

[0881] "concerns": "stains",

[0882] "goals": "whitening"

[0883] }

[0884] 3. Server: The received data is stored in a database and analyzed using "Skincare AI." As a result of the analysis, information is generated that recommends products such as "moisturizing lotion" or "whitening serum."

[0885] 4. Terminal: Receives the analysis results and displays them on the user interface.

[0886] 5. User: Check the displayed advice and use the recommended lotion or serum.

[0887] Through this system, users can efficiently receive optimal skin care advice tailored to their individual needs.

[0888] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0889] Step 1:

[0890] Users launch the dedicated application using their smartphone or PC, enter their skin condition (e.g., "dry skin"), concerns (e.g., "blemishes"), and goals (e.g., "whitening") into the form displayed on the user interface, and click the submit button.

[0891] Input: User's skin condition, concerns, and goals

[0892] Output: User input data

[0893] Specific operation: The user enters "dry skin," "blemishes," and "whitening" and clicks the send button.

[0894] Step 2:

[0895] The terminal receives the data entered by the user, converts it into JSON format, and sends the converted data to the server using the HTTP protocol.

[0896] Input: User-entered data

[0897] Output: JSON format data

[0898] Specific operation: The device generates the following JSON data.

[0899] json

[0900] {

[0901] "skin_type": "dry skin",

[0902] "concerns": "stains",

[0903] "goals": "whitening"

[0904] }

[0905] Then, send the JSON data to the server.

[0906] Step 3:

[0907] The server analyzes the JSON data received from the terminal and stores it in a database.

[0908] Input: User data in JSON format

[0909] Output: User data stored in the database

[0910] Specific operation: The server stores the received JSON data in the "skin care database."

[0911] Step 4:

[0912] The server uses an artificial intelligence model called "Skincare AI" to analyze user data stored in a database, deriving an optimal skin care plan based on the user's skin condition, concerns, and goals.

[0913] Input: User data stored in the database

[0914] Output: Analysis results (optimal skin care plan)

[0915] Specific operation: The artificial intelligence model "Skincare AI" generates the following analysis results.

[0916] "Highly moisturizing lotion"

[0917] "Whitening beauty serum"

[0918] Step 5:

[0919] The server formats the analysis results into a format that is easy for the user to read and sends them to the terminal.

[0920] Input: Analysis results

[0921] Output: Result data in a user-friendly format

[0922] Specific operation: The server converts the generated analysis results into a response format and sends it to the terminal via the HTTP protocol.

[0923] Step 6:

[0924] The terminal displays the results received from the server on a user interface.

[0925] Input: Result data in a user-friendly format

[0926] Output: Advice displayed in the user interface

[0927] Specific operation: The device displays the analysis results on the screen so that the user can check them. For example, it displays "lotion with high moisturizing effect" and "beauty serum containing whitening ingredients."

[0928] Step 7:

[0929] Users can check the skin care advice displayed on the device, take appropriate skin care measures based on the advice, and, if necessary, purchase the recommended products and incorporate them into their daily skin care routine.

[0930] Input: Advice displayed in the user interface

[0931] Output: Skin care performed by the user

[0932] Specific operation: The user purchases the recommended lotion or serum and applies it to their daily skin care routine.

[0933] (Application example 1)

[0934] 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."

[0935] In conventional beauty care support systems, users typically enter information about their skin condition and concerns online and receive analysis results, but these systems do not provide immediate support in physical stores. This makes it difficult to provide customized skin care advice to customers directly in stores, posing a challenge in creating a smooth customer experience. In particular, visitors to beauty specialty stores often want to try out and purchase products on the spot, and meeting this need requires immediate, appropriate skin care advice and product recommendations.

[0936] 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.

[0937] In this invention, the server includes means for accepting input from a user, means for transmitting the accepted input to the server, means for the server to use artificial intelligence to analyze the user's input, means for providing the analysis results to the user, means for a customer to input their skin condition, concerns, and goals using a dedicated terminal in a physical store, and means for transmitting the input data to the server, which then generates customized skin care advice and a list of recommended products and provides them to the user in real time, thereby enabling instantaneous customized skin care advice and product suggestions to be provided to customers in physical stores.

[0938] The "means for accepting input from the user" is a system device that allows customers to input information such as their skin condition, concerns, and goals.

[0939] The "means for transmitting the received input to the server" is a communication means for transferring the information input by the user to the server.

[0940] "Means by which the server uses artificial intelligence to analyze user input" refers to machine learning models or deep learning algorithms to analyze the information received from the user and generate optimal skin care advice.

[0941] The "means for providing the analysis results to the user" is a system device that returns the analysis results generated by the server to the user so that the results can be confirmed and used.

[0942] "A means for customers to input their skin condition, concerns, and goals using a dedicated device in a physical store" refers to a means for customers to input information using tablets or smartphones installed in physical stores.

[0943] "Means for sending the input data to a server, which then generates customized skin care advice and a list of recommended products and provides them to the user in real time" refers to a series of processes in which the information input by the user is sent to a server, and the server immediately generates analysis results and communicates them to the user.

[0944] "Customized skin care advice" refers to appropriate skin care instructions suggested based on a user's individual skin condition, concerns, and goals.

[0945] The "recommended product list" is a list of specific skin care products provided to the user based on the analysis results of the server.

[0946] To improve customer experience in brick-and-mortar stores, this invention provides a system that allows customers to input their skin condition, concerns, and goals using a dedicated terminal, and instantly provides customized skin care advice and a list of recommended products. Specific means for implementing this system are described below.

[0947] First, customers access the application using a dedicated tablet or smartphone installed in a physical store. The application is built using React Native, and the user interface displays a form for entering "skin type," "concerns," and "goals." When the customer enters this information and clicks the submit button, the information is sent to the server in JSON format.

[0948] The server is equipped with a web server built using Node.js and Express. This server stores data received from customers in a database and analyzes it. This analysis is performed using an artificial intelligence model that uses a deep learning algorithm. The artificial intelligence model generates optimal skin care advice and a list of recommended products based on each user's skin condition, concerns, and goals.

[0949] The generated analysis results are sent in real time from the server to the customer's dedicated device. The customer can check the analysis results on the spot and try out the recommended skin care products. The analysis results are also saved in a database so that the customer can refer to them again in the future.

[0950] As an example of how this system works, the following prompts could be input to the AI ​​model:

[0951] "Please suggest a way to provide optimal skin care advice to users based on the following input data.

[0952] Input data:

[0953] Skin type: Dry skin

[0954] Problem: Age spots

[0955] Goal: whitening

[0956] Please provide your suggested advice and recommended product list.”

[0957] In this way, instant, customized skin care advice can be provided in physical stores, significantly improving the customer experience.

[0958] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0959] Step 1:

[0960] Users access the application using a dedicated device (tablet or smartphone) installed in a physical store. The application is built using React Native and displays a form where users can enter their "skin type," "concerns," and "goals."

[0961] Input: User inputs skin type, concerns, and goals

[0962] Output: Input data (JSON format)

[0963] Step 2:

[0964] The device sends the data entered by the user in JSON format to the server, which then transfers the data to the server via a communication means and prepares it for analysis.

[0965] Input: Data entered by the user

[0966] Output: The input data in JSON format is sent to the server.

[0967] Step 3:

[0968] The server stores the received JSON formatted data in a database, allowing for subsequent analysis and reuse of the information.

[0969] Input: JSON format data sent from the terminal

[0970] Output: Input data stored in a database

[0971] Step 4:

[0972] The server then analyzes the stored data using an artificial intelligence model that uses deep learning algorithms to compare it with past data and generate optimal skincare advice and product recommendations.

[0973] Input: Input data stored in the database

[0974] Output: Analysis results (skin care advice and recommended product list)

[0975] Step 5:

[0976] The server then sends the generated analysis results to the user's dedicated device in real time, allowing the user to instantly view customized advice and recommended products.

[0977] Input: Analysis results

[0978] Output: Analysis results are sent to the device.

[0979] Step 6:

[0980] The device displays the analysis results received from the server on a user interface, allowing the user to immediately try or purchase the recommended skin care products.

[0981] Input: Analysis results sent from the server

[0982] Output: Analysis results displayed in the user interface

[0983] Step 7:

[0984] The server stores the analysis results in a database so that the user can refer to them again in the future. This operation makes it easier for the user to manage their skin care history.

[0985] Input: Generated analysis results

[0986] Output: Analysis results stored in a database

[0987] The above steps create a system that can provide instant, customized skin care advice and recommended products in a physical store.

[0988] 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.

[0989] The beauty care support system of the present invention is a system for providing optimal skin care advice based on information input by a user, and is also capable of recognizing the user's emotions and providing advice based thereon. This system includes an interface for receiving input from a user, a communication means for transmitting the input to a server, a server for storing the received data in a database and analyzing it, an emotion engine for recognizing emotions, and a means for providing the analysis results to the user.

[0990] First, the user accesses the application using a device such as a smartphone or PC. The user interface displays a form for entering information about the user's skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles, acne), and goals (e.g., whitening, moisturizing, anti-aging). When the user enters this information into the form and clicks the submit button, the information is sent to the server via the device.

[0991] The server receives the user's input information and stores it in a database. The stored information is analyzed by the server's AI model and emotion engine. First, the AI ​​model analyzes the user's skin data and generates an optimal skin care plan and product list. Next, the emotion engine uses the user's input data and facial recognition technology to recognize emotions and analyze the user's current emotional state.

[0992] Based on this, the server takes into account feedback from the emotion engine and adjusts the advice content. For example, if the user is feeling stressed, it can add products with relaxing scents or mental care advice that will help relieve stress.

[0993] As a specific example, the following sequence of events will be described:

[0994] User: Launches the application and enters "dry skin," "worried about dark spots," and "want to brighten my skin" into the form displayed on the screen. Furthermore, the application uses the camera function to perform facial recognition and automatically recognize the user's current emotional state.

[0995] Terminal: Generates and sends JSON format data to send the input content and facial recognition data to the server.

[0996] json

[0997] {

[0998] "skin_type": "dry skin",

[0999] "concerns": "stains",

[1000] "goals": "whitening",

[1001] "emotion_data": "stress"

[1002] }

[1003] Server: Stores the received data in a database. After storing it, it calls the AI ​​model and performs analysis based on the input data.

[1004] AI model: As a result of the analysis, it generates advice such as "Use a lotion with moisturizing effects" or "Use a beauty serum that contains whitening ingredients."

[1005] Emotion engine: Analyzes the user's emotional state based on facial recognition data and feeds the analysis results back to the server. For example, it generates a result such as "feeling stressed."

[1006] Server: Adjust the advice content based on feedback from the emotion engine. For example, add skin care products or mental care advice that can help relieve stress.

[1007] Server: Formats the generated results in a user-friendly format and sends them to the terminal.

[1008] Terminal: Receives the results and displays them in a user interface.

[1009] User: Carries out skin care based on the displayed advice and purchases recommended products as needed.

[1010] This allows the beauty care support system of the present invention to provide optimal skin care advice according to the individual needs and emotional state of the user.

[1011] The processing flow will be explained below.

[1012] Step 1:

[1013] User: Launches the application and clicks the "Start Skin Diagnosis" button displayed on the home screen. A form is displayed, in which the user enters their skin condition, concerns, and goals. They then use the camera to take a photo of their face, which provides emotional data to the emotion engine.

[1014] Step 2:

[1015] Terminal: Collects skin information entered by the user and a face photo taken with the camera, and generates JSON format data to send to the server. For example, the data is formatted as "skin_type=dry skin&concerns=blemishes&goals=whitening&emotion_data=face photo binary data".

[1016] Step 3:

[1017] Server: Receives API requests sent from the device, extracts the user's input and emotion data, and temporarily stores the received data in memory.

[1018] Step 4:

[1019] Server: Store the received user data in the database. Insert the data using the following SQL query:

[1020] sql

[1021] INSERT INTO user_skin_data (user_id, skin_type, concerns, goals, emotion_data)

[1022] VALUES ('12345', 'Dry skin', 'Blemishes', 'Whitening', 'Facial photo binary data');

[1023] Step 5:

[1024] Server: Passes the saved user skin data to the AI ​​model and begins analysis. The AI ​​model generates an optimal skin care plan and product list based on the user's skin data.

[1025] Step 6:

[1026] AI model: As a result of the analysis, it generates advice such as "Use a moisturizing lotion" or "Use a serum containing whitening ingredients" along with a list of recommended products.

[1027] Step 7:

[1028] Server: Receives the analysis results of the AI ​​model and then analyzes them using the emotion engine.

[1029] Step 8:

[1030] Server: Passes emotion data to the emotion engine to analyze the user's emotional state. The emotion engine uses facial recognition technology to identify the user's emotional state (happiness, sadness, stress, etc.).

[1031] Step 9:

[1032] Emotion engine: As a result of the analysis, it generates a result such as "the user is feeling stressed" and feeds that result back to the server.

[1033] Step 10:

[1034] Server: Adjust the advice content based on feedback from the emotion engine. For example, add "skin care products with relaxing effects that help relieve stress" or "mental care advice."

[1035] Step 11:

[1036] Server: Formats the final analysis results and recommended product list into JSON format for the user and generates an API response to send to the device.

[1037] Step 12:

[1038] Terminal: Receives the response from the server, parses the results, and prepares them for display in the user interface. For example,

[1039] Recommended tips: Use a moisturizing lotion. Listen to relaxing music for mental care.

[1040] Recommended Products:

[1041] 1. Moisturizing Lotion A - 2,000 yen

[1042] 2. Whitening Serum B - 3,000 yen

[1043] 3. Relaxation Balm C - 1,500 yen

[1044] Step 13:

[1045] User: Review the advice and product recommendations to implement the skin care routine that best suits them. Purchase the products shown, if desired.

[1046] In this way, the beauty care support system of the present invention efficiently analyzes the user's input information and emotional state, and provides individually customized beauty advice and product recommendations.

[1047] Example 2

[1048] 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."

[1049] In modern beauty care, there is a demand for optimal skin care plans tailored to individual users' needs. However, conventional systems are unable to provide advice that takes into account the user's emotional state, making it difficult to fully increase user satisfaction. Another issue is that past data cannot be effectively utilized to improve future advice.

[1050] 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.

[1051] In this invention, the server includes means for accepting input from a user, means for transmitting the accepted input to a computer, means for the computer to use artificial intelligence to analyze the user's input, means for analyzing the user's emotions using facial recognition data, and means for providing the user with the analysis results, thereby enabling the provision of an optimal skin care plan that takes into account the user's individual needs and emotional state.

[1052] "User" refers to an individual who uses the system to receive beauty care advice.

[1053] "Input" is information that a user provides to the system, including skin condition, concerns, goals, and facial recognition data.

[1054] "Means" refers to a technical device for performing a certain function or combination of functions.

[1055] "Computer" refers to a computer system for processing and storing data.

[1056] "Analysis" refers to data processing to generate an optimal skin care plan based on information provided by the user.

[1057] "Artificial intelligence" refers to a computer program that analyzes large amounts of data, recognizes patterns and relationships, and derives optimal solutions.

[1058] "Facial recognition" refers to an image processing technology for detecting emotions and features from a user's face.

[1059] "Emotion" refers to the psychological state, such as stress or relaxation, that the user is experiencing.

[1060] A "skin care plan" refers to a list of recommended beauty care methods and products based on the user's skin condition and goals.

[1061] A "database" refers to an information management system for systematically storing analysis results and past data.

[1062] The present invention provides a beauty care support system that proposes an optimal skin care plan based on information provided by a user and provides advice that takes the user's emotions into consideration. This system mainly consists of the following components:

[1063] User Input Interface

[1064] Users access the application using a smartphone or PC. A form appears on the screen, allowing them to enter their skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles, acne), and goals (e.g., whitening, moisturizing, anti-aging). After entering this information, the user uses the camera function to perform facial recognition and record their current emotional state.

[1065] Data transmission

[1066] The device converts the user-entered information and facial recognition data into JSON format and sends it to the server using a secure communication protocol (e.g., HTTPS).

[1067] Data processing and analysis

[1068] The server receives data sent from the device and stores it in a NoSQL database (e.g., MongoDB). The stored data is analyzed using an artificial intelligence model and emotion engine. The artificial intelligence model uses TensorFlow and PyTorch, which generates an optimal skin care plan based on the user's skin condition, concerns, and goals. The emotion engine uses OpenCV and Dlib to analyze the user's emotions based on facial recognition data.

[1069] Advice Generation

[1070] The server integrates the analysis results from the artificial intelligence model and emotion engine to generate optimal advice for the user, such as skin care products as well as mental care advice to help relieve stress.

[1071] Providing advice

[1072] The generated advice is formatted in a user-friendly format and sent to the terminal, which displays the advice in a user interface for the user to view.

[1073] Specific examples

[1074] For example, consider a scenario in which a user inputs the following information: "Dry skin," "I'm concerned about blemishes," and "I want to brighten my skin," along with emotional data such as "stress" recognized using the camera function.

[1075] The device converts this information into JSON format and sends it. The server receives the data, stores it in a database, and then analyzes it using an artificial intelligence model and emotion engine. It then generates advice such as: "Use a lotion with moisturizing properties," "Use a beauty serum with whitening ingredients," or "Try an aroma that has a relaxing effect."

[1076] Prompt Sentence Examples

[1077] "If a user launches the application and enters 'dry skin,' 'stress,' and 'whitening' into the input form, how will the system respond?"

[1078] Based on this input data, the server generates an optimal skin care plan and emotional advice and provides it to the user.

[1079] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1080] Step 1:

[1081] A user launches the application and enters information into an input form. Specifically, the user provides skin condition (e.g., "dry skin"), concerns (e.g., "worried about dark spots"), goals (e.g., "whitening"), and facial recognition data using the camera function. This input includes text data and image data. The output is an input dataset containing all the information provided by the user.

[1082] Step 2:

[1083] The device converts the input data and facial recognition data into JSON format. Specifically, it structures the digital input and image data into a JSON object like this:

[1084] json

[1085] {

[1086] "skin_type": "dry skin",

[1087] "concerns": "stains",

[1088] "goals": "whitening",

[1089] "emotion_data": "stress"

[1090] }

[1091] Based on this input data, it generates JSON data converted into an appropriate format. The output is structured JSON format data.

[1092] Step 3:

[1093] The terminal sends JSON data to the server. Specifically, the data is sent to the server using a secure communication protocol such as HTTPS. The input is the JSON data, and the output is a confirmation that the server has received the data.

[1094] Step 4:

[1095] The server stores the received data in a database. Specifically, it inserts data into a NoSQL database (e.g., MongoDB). The input is JSON data, and the output is a record stored in the database.

[1096] Step 5:

[1097] The server passes the stored data to an AI model, which then generates a skin care plan. Specifically, the data is analyzed using an AI framework (e.g., TensorFlow or PyTorch). The input is the stored user data, and the output is a skin care plan (e.g., "lotion with moisturizing effects" or "serum containing whitening ingredients") as the analysis result.

[1098] Step 6:

[1099] The server passes the facial recognition data to the emotion engine to analyze the emotion. Specifically, emotion analysis is performed using a facial recognition library (e.g., OpenCV or Dlib). The input is the facial recognition data, and the output is the analyzed emotional state (e.g., "feeling stressed").

[1100] Step 7:

[1101] The server integrates the analysis results from the AI ​​model and the emotion engine to generate optimal advice. Specifically, it constructs additional advice based on the skin care plan and emotional state. The input is the skin care plan and emotional state, and the output is comprehensive advice provided to the user (e.g., "Use a moisturizing lotion" or "Try an aroma that has a relaxing effect").

[1102] Step 8:

[1103] The server sends the generated advice to the terminal, formatting it in a user-friendly format and transmitting it using a secure communication protocol such as HTTPS. The input is the overall advice, and the output is the formatted advice sent to the terminal.

[1104] Step 9:

[1105] The device displays the received advice in a user interface. Specifically, it uses a suitable UI framework (e.g., React Native or Flutter) to visually display the advice. The input is the formatted advice, and the output is the display content that the user can view.

[1106] Step 10:

[1107] The user performs skin care based on the displayed advice and purchases recommended products as necessary. Specifically, the user performs actual skin care based on the provided advice and product list. The input is the displayed advice and product list, and the output is the user's actual skin care action.

[1108] (Application example 2)

[1109] 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."

[1110] Conventional beauty care support systems only provide skin care advice based on user input, but lack the ability to adjust the advice based on the user's emotional state. Furthermore, the lack of a system for users to receive real-time skin care advice in physical stores makes it difficult for them to efficiently select and purchase skin care products. To address these issues, a beauty care support system that recognizes the user's emotions and adjusts advice accordingly is needed.

[1111] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1112] In this invention, the server includes means for accepting input from a user, means for transmitting the accepted input to the server, means for the server to use artificial intelligence to analyze the user's input, means for analyzing the user's emotions using facial recognition technology, means for adjusting advice content based on the emotion analysis results, and means for providing the analysis results to the user. This enables optimal advice based on the user's individual needs and emotional state to be provided in real time, making it possible to streamline selection and purchase of skin care products in physical stores.

[1113] The "means for accepting input from the user" is used to provide an interface that allows the user to input information such as their skin condition, concerns, and goals.

[1114] "Means for transmitting accepted input to a server" refers to a communication means for transferring data entered by a user to a remote server.

[1115] "Means for the server to use artificial intelligence to analyze user input" refers to artificial intelligence technology used to recommend optimal skin care regimes and products based on the user's input.

[1116] "Means for analyzing a user's emotions using facial recognition technology" refers to technology for recognizing and analyzing a user's emotional state from a facial image.

[1117] The "means for adjusting the content of advice based on the results of emotion analysis" is a means for dynamically changing the content of skin care advice provided to the user based on the results of emotion analysis obtained using face recognition technology.

[1118] "Means for providing analysis results to the user" refers to an interface that provides feedback of the analysis results to the user in visual or text format, allowing the user to act on the results.

[1119] The beauty care support system of this invention begins when a user accesses an application using a smartphone, smart glasses, or other device and inputs information about their skin condition, concerns, and goals. This information is sent from the device to a server. The server then uses artificial intelligence technology to analyze the user's input data and generate an optimal skin care plan and product recommendations. The server also uses the device's camera for facial recognition to analyze the user's emotional state. The emotional analysis results are also sent to the server, and the advice content is adjusted based on this.

[1120] Hardware and software used

[1121] The main hardware and software used in this system are as follows:

[1122] Smartphone / Smart Glasses: Equipped with a camera for accepting user input and facial recognition, it also functions as a device for receiving real-time skin care advice.

[1123] Communication method: Uses a data communication network (e.g., Wi-Fi, 4G / 5G) to transmit user input information and facial recognition data to the server.

[1124] Server: Receives, stores, and analyzes data using artificial intelligence (e.g., TensorFlow, PyTorch) and emotion engines (e.g., Affectiva).

[1125] Database: A database (e.g., MySQL, MongoDB) for storing user information and analysis results.

[1126] Data processing and calculation

[1127] 1. Accepting user input: The user enters information such as skin condition, concerns, and goals through a smartphone or smart glasses interface. This includes text forms and selection lists.

[1128] 2. Facial Recognition and Emotion Analysis: The user's face is photographed with a camera and facial recognition technology is used to analyze their emotions. By analyzing their facial expressions, the system determines their current emotional state (e.g., stress, joy).

[1129] 3. Sending data to the server: The information entered by the user and the facial recognition data are sent to the server in JSON format, which is then received and stored in a database.

[1130] 4. AI analysis: The server uses AI models to generate a skin care plan based on the received user data, recommending products and usage methods based on skin condition and concerns.

[1131] 5. Advice adjustment based on emotion analysis results: The emotion engine adjusts the skin care advice content based on the emotion data analyzed. For example, if the user is feeling stressed, it will add products and relaxation techniques that will help relieve stress.

[1132] Examples and prompts

[1133] As a concrete example, let us consider how a user might use the system in the following sequence:

[1134] User: Wears smart glasses, goes to the skin care section in the store, launches the application, and enters skin information.

[1135] Camera: Performs facial recognition and detects emotions of stress.

[1136] Server: Receives user input and facial recognition data. The AI ​​model recommends moisturizing products and adds stress reduction advice based on emotional data.

[1137] Smart glasses: Show results to users in real time and recommend specific skin care products.

[1138] Prompt Sentence Examples

[1139] It accepts user input, performs emotion recognition, and provides skin care advice.

[1140] User's skin information: dry skin, spots, whitening purpose

[1141] Emotional data: Stress

[1142] This system can provide optimal advice in real time based on the user's individual needs and emotional state, making it possible to streamline the selection and purchase of skin care products in physical stores.

[1143] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1144] Step 1:

[1145] A user launches an application on their smartphone or smart glasses and inputs information about their skin condition (e.g., dry skin), concerns (e.g., dark spots), and goals (e.g., skin whitening). This input information is collected using text forms and selection lists.

[1146] Step 2:

[1147] The device receives the input information and converts it into JSON format data, which contains all the information entered by the user. The device also activates the facial recognition camera and takes a picture of the user's face.

[1148] Step 3:

[1149] Applying facial recognition technology based on facial images captured by a camera, the system analyzes the user's emotional state. It uses an emotion engine (e.g., Affectiva) to process facial expression data and generates emotion data (e.g., stress) as a result of the analysis.

[1150] Step 4:

[1151] The device compiles the user's input data and emotional data and sends it to the server. The data, integrated in JSON format, includes skin information, concerns, goals, and emotional data. The communication method is Wi-Fi or mobile data.

[1152] Step 5:

[1153] The server analyzes the received JSON data and stores it in a database. The received data is divided into individual items such as skin information and concerns, and stored in the database for analysis.

[1154] Step 6:

[1155] An AI model (e.g., TensorFlow, PyTorch) on the server generates an optimal skin care plan based on the stored user data. The AI ​​model suggests specific products and usage methods based on the input skin data and concerns.

[1156] Step 7:

[1157] The emotion engine analyzes the emotion data on the server and adjusts the advice content based on the results. For example, if the user is feeling stressed, advice or products that will help relieve stress (such as products with relaxing scents) will be added.

[1158] Step 8:

[1159] The server converts the generated advice back into JSON format and sends it to the device, where the emotion analysis results and the skin care plan are integrated and returned to the user.

[1160] Step 9:

[1161] The device displays the received data through a user interface, providing a visual list of specific skin care products and instructions on how to use them, allowing the user to act on the advice.

[1162] This step allows users to receive appropriate skin care advice in real time even in physical stores, enabling efficient product selection and purchase.

[1163] 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.

[1164] 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.

[1165] 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.

[1166] [Fourth embodiment]

[1167] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1168] 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.

[1169] 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).

[1170] 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.

[1171] 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.

[1172] 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).

[1173] 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.

[1174] 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.

[1175] 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.

[1176] 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.

[1177] 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.

[1178] 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.

[1179] 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."

[1180] The beauty care support system of the present invention is a system for providing optimal skin care advice based on information input by a user. This system includes an interface for receiving input from a user, a communication means for transmitting the input to a server, a server for storing the received data in a database and analyzing it, and a means for providing the user with the analysis results.

[1181] First, the user accesses the application using a device such as a smartphone or PC. The user interface displays a form for entering information about the user's skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles, acne), and goals (e.g., whitening, moisturizing, anti-aging). When the user enters this information into the form and clicks the submit button, the information is sent to the server via the device.

[1182] The server receives the user's input and stores it in a database. The stored information is then analyzed by an AI model running on the server. The AI ​​model compares the data with past data to recommend optimal skincare advice and products. This analysis is performed using deep learning algorithms to generate customized results for each user.

[1183] The analysis results are sent from the server to the device and provided to the user. For example, if a user inputs that they have "dry skin" and are "concerned about blemishes," the server's AI model will recommend a "lotion with high moisturizing effects" or a "serum containing whitening ingredients." This information is displayed on the user interface, and the user can follow the recommended advice to perform skin care.

[1184] As a specific example, the following sequence of events will be described:

[1185] User: Launches the application and enters "dry skin," "worried about blemishes," and "want to brighten my skin" in the form that appears on the screen.

[1186] Terminal: Generates and sends JSON format data to send the input content to the server.

[1187] json

[1188] {

[1189] "skin_type": "dry skin",

[1190] "concerns": "stains",

[1191] "goals": "whitening"

[1192] }

[1193] Server: Stores the received data in a database. After storing it, it calls the AI ​​model and performs analysis based on the input data.

[1194] AI model: As a result of the analysis, it generates advice such as "Use a moisturizing lotion" or "Use a serum containing whitening ingredients" along with a list of recommended products.

[1195] Server: Formats the generated results in a user-friendly format and sends them to the terminal.

[1196] Terminal: Receives the results and displays them in a user interface.

[1197] User: Carries out skin care based on the displayed advice and purchases the recommended products.

[1198] As a result, the beauty care support system of the present invention can provide optimal skin care advice according to the individual needs of the user.

[1199] The processing flow will be explained below.

[1200] Step 1:

[1201] User: Launches the application and clicks the "Start Skin Diagnosis" button displayed on the home screen. A form is displayed, and the user inputs their skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles), and goals (e.g., moisturizing, whitening).

[1202] Step 2:

[1203] Device: Collects information entered by the user and generates an API request to send to the server. For example, format the data as "skin_type=dry skin&concerns=blemishes&goals=whitening".

[1204] Step 3:

[1205] Server: Receives API requests sent from the device, analyzes the received data, and temporarily stores it in memory.

[1206] Step 4:

[1207] Server: Store the received data in a database. For example, insert the data using an SQL query like this:

[1208] sql

[1209] INSERT INTO user_skin_data (user_id, skin_type, concerns, goals)

[1210] VALUES ('12345', 'Dry Skin', 'Blemishes', 'Whitening');

[1211] Step 5:

[1212] Server: Passes the saved user skin data to the AI ​​model and begins analysis. The AI ​​model generates an optimal skin care plan and product list based on the user's skin data.

[1213] Step 6:

[1214] Server: Receives the analysis results returned by the AI ​​model and converts them into a user-friendly format. For example, it generates advice such as "Use a moisturizing lotion" or "Use a beauty serum containing whitening ingredients."

[1215] Step 7:

[1216] Server: Generates an API response to send the formatted analysis results and product list to the user. The response is converted to JSON format.

[1217] Step 8:

[1218] Terminal: Receives the response from the server, parses it, and prepares it for display in the user interface. For example,

[1219] Recommended advice: Use a moisturizing lotion.

[1220] Recommended Products:

[1221] 1. Moisturizing Lotion A - 2,000 yen

[1222] 2. Whitening Serum B - 3,000 yen

[1223] Step 9:

[1224] User: Review the advice and product recommendations to implement the skin care routine that best suits them. Purchase the products shown, if desired.

[1225] In this way, the beauty care support system of the present invention efficiently analyzes the information input by the user and provides individually customized beauty advice.

[1226] Example 1

[1227] 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."

[1228] In recent years, the amount of information related to beauty care has increased, making it difficult to find the right skin care products and methods that suit individual skin conditions, concerns, and goals. In order to enable users to efficiently implement skin care that is optimal for their skin, a system is needed that can integrate and analyze expert knowledge and vast amounts of information to provide accurate advice.

[1229] 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.

[1230] In this invention, the server includes means for accepting input from a user, means for converting the accepted input into a data format and sending it to the server, means for the server to analyze the input information stored in the database using artificial intelligence, and means for formatting the analysis results and providing them to the user, thereby making it possible to efficiently provide optimal skin care advice tailored to the user's individual skin condition, concerns, and goals.

[1231] A "user" is someone who uses the system to input their skin condition, concerns, and goals and receive skin care advice.

[1232] "Input" refers to the user providing information such as their skin condition, concerns, and goals to the system.

[1233] A "means" is a specific method or device component for achieving a specific purpose.

[1234] "Converting to a data format" means converting the information provided by the user into a format that can be analyzed by the server (for example, JSON format).

[1235] A "server" is a computer system that receives, stores, analyzes data over a network, and transmits the results of that analysis.

[1236] A "database" is an information system for storing and managing user input information, past skin care history, and product information.

[1237] "Artificial intelligence" refers to machine learning models and algorithms that analyze data and generate optimal skin care advice for users.

[1238] "Analysis" is the process of deriving optimal skin care advice based on the data provided by the user.

[1239] "Formatting" refers to converting the generated analysis results into a format that is easy for the user to understand.

[1240] "Providing" refers to showing the analysis results to the user or making them accessible to the user.

[1241] The beauty care support system of the present invention is a system that uses artificial intelligence to provide optimal skin care advice based on the skin condition, concerns, and goals provided by the user.

[1242] Hardware and software used

[1243] Hardware: Computing devices (terminals) such as smartphones and PCs, central servers, database servers

[1244] Software: Dedicated applications (e.g., "skin care apps"), database management systems, artificial intelligence models (e.g., "skin care AI"), communication protocols (HTTP / HTTPS)

[1245] Data processing and calculation

[1246] The system provides optimal skin care advice to users through the following process.

[1247] Collecting user input information

[1248] The user launches the dedicated application and enters their skin condition (e.g., "dry skin"), concerns (e.g., "blemishes"), and goals (e.g., "whitening") into the displayed form.

[1249] Sending and Receiving Data

[1250] The entered information is collected on the terminal, converted into JSON format, and then sent to the server using the HTTP protocol, where it is stored in a database.

[1251] Data analysis

[1252] The data stored on the server is analyzed by an artificial intelligence model called "Skincare AI," which uses deep learning algorithms to generate an optimal skincare plan based on past user data and skincare product information.

[1253] Providing analysis results

[1254] The server formats the generated analysis results, converts them into a user-friendly format, and sends them to the device, which displays the results and allows the user to check the recommended skin care advice.

[1255] Examples of specific examples and prompts

[1256] For example, the following sequence will be described:

[1257] User Examples

[1258] 1. User: Launches the "skin care app" on a smartphone, enters "dry skin," "blemishes," and "whitening" in the input form, and clicks the send button.

[1259] 2. Terminal: Convert the input information into JSON format and send it to the server as follows:

[1260] json

[1261] {

[1262] "skin_type": "dry skin",

[1263] "concerns": "stains",

[1264] "goals": "whitening"

[1265] }

[1266] 3. Server: The received data is stored in a database and analyzed using "Skincare AI." As a result of the analysis, information is generated that recommends products such as "moisturizing lotion" or "whitening serum."

[1267] 4. Terminal: Receives the analysis results and displays them on the user interface.

[1268] 5. User: Check the displayed advice and use the recommended lotion or serum.

[1269] Through this system, users can efficiently receive optimal skin care advice tailored to their individual needs.

[1270] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1271] Step 1:

[1272] Users launch the dedicated application using their smartphone or PC, enter their skin condition (e.g., "dry skin"), concerns (e.g., "blemishes"), and goals (e.g., "whitening") into the form displayed on the user interface, and click the submit button.

[1273] Input: User's skin condition, concerns, and goals

[1274] Output: User input data

[1275] Specific operation: The user enters "dry skin," "blemishes," and "whitening" and clicks the send button.

[1276] Step 2:

[1277] The terminal receives the data entered by the user, converts it into JSON format, and sends the converted data to the server using the HTTP protocol.

[1278] Input: User-entered data

[1279] Output: JSON format data

[1280] Specific operation: The device generates the following JSON data.

[1281] json

[1282] {

[1283] "skin_type": "dry skin",

[1284] "concerns": "stains",

[1285] "goals": "whitening"

[1286] }

[1287] Then, send the JSON data to the server.

[1288] Step 3:

[1289] The server analyzes the JSON data received from the terminal and stores it in a database.

[1290] Input: User data in JSON format

[1291] Output: User data stored in the database

[1292] Specific operation: The server stores the received JSON data in the "skin care database."

[1293] Step 4:

[1294] The server uses an artificial intelligence model called "Skincare AI" to analyze user data stored in a database, deriving an optimal skin care plan based on the user's skin condition, concerns, and goals.

[1295] Input: User data stored in the database

[1296] Output: Analysis results (optimal skin care plan)

[1297] Specific operation: The artificial intelligence model "Skincare AI" generates the following analysis results.

[1298] "Highly moisturizing lotion"

[1299] "Whitening beauty serum"

[1300] Step 5:

[1301] The server formats the analysis results into a format that is easy for the user to read and sends them to the terminal.

[1302] Input: Analysis results

[1303] Output: Result data in a user-friendly format

[1304] Specific operation: The server converts the generated analysis results into a response format and sends it to the terminal via the HTTP protocol.

[1305] Step 6:

[1306] The terminal displays the results received from the server on a user interface.

[1307] Input: Result data in a user-friendly format

[1308] Output: Advice displayed in the user interface

[1309] Specific operation: The device displays the analysis results on the screen so that the user can check them. For example, it displays "lotion with high moisturizing effect" and "beauty serum containing whitening ingredients."

[1310] Step 7:

[1311] Users can check the skin care advice displayed on the device, take appropriate skin care measures based on the advice, and, if necessary, purchase the recommended products and incorporate them into their daily skin care routine.

[1312] Input: Advice displayed in the user interface

[1313] Output: Skin care performed by the user

[1314] Specific operation: The user purchases the recommended lotion or serum and applies it to their daily skin care routine.

[1315] (Application example 1)

[1316] 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."

[1317] In conventional beauty care support systems, users typically enter information about their skin condition and concerns online and receive analysis results, but these systems do not provide immediate support in physical stores. This makes it difficult to provide customized skin care advice to customers directly in stores, posing a challenge in creating a smooth customer experience. In particular, visitors to beauty specialty stores often want to try out and purchase products on the spot, and meeting this need requires immediate, appropriate skin care advice and product recommendations.

[1318] 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.

[1319] In this invention, the server includes means for accepting input from a user, means for transmitting the accepted input to the server, means for the server to use artificial intelligence to analyze the user's input, means for providing the analysis results to the user, means for a customer to input their skin condition, concerns, and goals using a dedicated terminal in a physical store, and means for transmitting the input data to the server, which then generates customized skin care advice and a list of recommended products and provides them to the user in real time, thereby enabling instantaneous customized skin care advice and product suggestions to be provided to customers in physical stores.

[1320] The "means for accepting input from the user" is a system device that allows customers to input information such as their skin condition, concerns, and goals.

[1321] The "means for transmitting the received input to the server" is a communication means for transferring the information input by the user to the server.

[1322] "Means by which the server uses artificial intelligence to analyze user input" refers to machine learning models or deep learning algorithms to analyze the information received from the user and generate optimal skin care advice.

[1323] The "means for providing the analysis results to the user" is a system device that returns the analysis results generated by the server to the user so that the results can be confirmed and used.

[1324] "A means for customers to input their skin condition, concerns, and goals using a dedicated device in a physical store" refers to a means for customers to input information using tablets or smartphones installed in physical stores.

[1325] "Means for sending the input data to a server, which then generates customized skin care advice and a list of recommended products and provides them to the user in real time" refers to a series of processes in which the information input by the user is sent to a server, and the server immediately generates analysis results and communicates them to the user.

[1326] "Customized skin care advice" refers to appropriate skin care instructions suggested based on a user's individual skin condition, concerns, and goals.

[1327] The "recommended product list" is a list of specific skin care products provided to the user based on the analysis results of the server.

[1328] To improve customer experience in brick-and-mortar stores, this invention provides a system that allows customers to input their skin condition, concerns, and goals using a dedicated terminal, and instantly provides customized skin care advice and a list of recommended products. Specific means for implementing this system are described below.

[1329] First, customers access the application using a dedicated tablet or smartphone installed in a physical store. The application is built using React Native, and the user interface displays a form for entering "skin type," "concerns," and "goals." When the customer enters this information and clicks the submit button, the information is sent to the server in JSON format.

[1330] The server is equipped with a web server built using Node.js and Express. This server stores data received from customers in a database and analyzes it. This analysis is performed using an artificial intelligence model that uses a deep learning algorithm. The artificial intelligence model generates optimal skin care advice and a list of recommended products based on each user's skin condition, concerns, and goals.

[1331] The generated analysis results are sent in real time from the server to the customer's dedicated device. The customer can check the analysis results on the spot and try out the recommended skin care products. The analysis results are also saved in a database so that the customer can refer to them again in the future.

[1332] As an example of how this system works, the following prompts could be input to the AI ​​model:

[1333] "Please suggest a way to provide optimal skin care advice to users based on the following input data.

[1334] Input data:

[1335] Skin type: Dry skin

[1336] Problem: Age spots

[1337] Goal: whitening

[1338] Please provide your suggested advice and recommended product list.”

[1339] In this way, instant, customized skin care advice can be provided in physical stores, significantly improving the customer experience.

[1340] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1341] Step 1:

[1342] Users access the application using a dedicated device (tablet or smartphone) installed in a physical store. The application is built using React Native and displays a form where users can enter their "skin type," "concerns," and "goals."

[1343] Input: User inputs skin type, concerns, and goals

[1344] Output: Input data (JSON format)

[1345] Step 2:

[1346] The device sends the data entered by the user in JSON format to the server, which then transfers the data to the server via a communication means and prepares it for analysis.

[1347] Input: Data entered by the user

[1348] Output: The input data in JSON format is sent to the server.

[1349] Step 3:

[1350] The server stores the received JSON formatted data in a database, allowing for subsequent analysis and reuse of the information.

[1351] Input: JSON format data sent from the terminal

[1352] Output: Input data stored in a database

[1353] Step 4:

[1354] The server then analyzes the stored data using an artificial intelligence model that uses deep learning algorithms to compare it with past data and generate optimal skincare advice and product recommendations.

[1355] Input: Input data stored in the database

[1356] Output: Analysis results (skin care advice and recommended product list)

[1357] Step 5:

[1358] The server then sends the generated analysis results to the user's dedicated device in real time, allowing the user to instantly view customized advice and recommended products.

[1359] Input: Analysis results

[1360] Output: Analysis results are sent to the device.

[1361] Step 6:

[1362] The device displays the analysis results received from the server on a user interface, allowing the user to immediately try or purchase the recommended skin care products.

[1363] Input: Analysis results sent from the server

[1364] Output: Analysis results displayed in the user interface

[1365] Step 7:

[1366] The server stores the analysis results in a database so that the user can refer to them again in the future. This operation makes it easier for the user to manage their skin care history.

[1367] Input: Generated analysis results

[1368] Output: Analysis results stored in a database

[1369] The above steps create a system that can provide instant, customized skin care advice and recommended products in a physical store.

[1370] 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.

[1371] The beauty care support system of the present invention is a system for providing optimal skin care advice based on information input by a user, and is also capable of recognizing the user's emotions and providing advice based thereon. This system includes an interface for receiving input from a user, a communication means for transmitting the input to a server, a server for storing the received data in a database and analyzing it, an emotion engine for recognizing emotions, and a means for providing the analysis results to the user.

[1372] First, the user accesses the application using a device such as a smartphone or PC. The user interface displays a form for entering information about the user's skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles, acne), and goals (e.g., whitening, moisturizing, anti-aging). When the user enters this information into the form and clicks the submit button, the information is sent to the server via the device.

[1373] The server receives the user's input information and stores it in a database. The stored information is analyzed by the server's AI model and emotion engine. First, the AI ​​model analyzes the user's skin data and generates an optimal skin care plan and product list. Next, the emotion engine uses the user's input data and facial recognition technology to recognize emotions and analyze the user's current emotional state.

[1374] Based on this, the server takes into account feedback from the emotion engine and adjusts the advice content. For example, if the user is feeling stressed, it can add products with relaxing scents or mental care advice that will help relieve stress.

[1375] As a specific example, the following sequence of events will be described:

[1376] User: Launches the application and enters "dry skin," "worried about dark spots," and "want to brighten my skin" into the form displayed on the screen. Furthermore, the application uses the camera function to perform facial recognition and automatically recognize the user's current emotional state.

[1377] Terminal: Generates and sends JSON format data to send the input content and facial recognition data to the server.

[1378] json

[1379] {

[1380] "skin_type": "dry skin",

[1381] "concerns": "stains",

[1382] "goals": "whitening",

[1383] "emotion_data": "stress"

[1384] }

[1385] Server: Stores the received data in a database. After storing it, it calls the AI ​​model and performs analysis based on the input data.

[1386] AI model: As a result of the analysis, it generates advice such as "Use a lotion with moisturizing effects" or "Use a beauty serum that contains whitening ingredients."

[1387] Emotion engine: Analyzes the user's emotional state based on facial recognition data and feeds the analysis results back to the server. For example, it generates a result such as "feeling stressed."

[1388] Server: Adjust the advice content based on feedback from the emotion engine. For example, add skin care products or mental care advice that can help relieve stress.

[1389] Server: Formats the generated results in a user-friendly format and sends them to the terminal.

[1390] Terminal: Receives the results and displays them in a user interface.

[1391] User: Carries out skin care based on the displayed advice and purchases recommended products as needed.

[1392] This allows the beauty care support system of the present invention to provide optimal skin care advice according to the individual needs and emotional state of the user.

[1393] The processing flow will be explained below.

[1394] Step 1:

[1395] User: Launches the application and clicks the "Start Skin Diagnosis" button displayed on the home screen. A form is displayed, in which the user enters their skin condition, concerns, and goals. They then use the camera to take a photo of their face, which provides emotional data to the emotion engine.

[1396] Step 2:

[1397] Terminal: Collects skin information entered by the user and a face photo taken with the camera, and generates JSON format data to send to the server. For example, the data is formatted as "skin_type=dry skin&concerns=blemishes&goals=whitening&emotion_data=face photo binary data".

[1398] Step 3:

[1399] Server: Receives API requests sent from the device, extracts the user's input and emotion data, and temporarily stores the received data in memory.

[1400] Step 4:

[1401] Server: Store the received user data in the database. Insert the data using the following SQL query:

[1402] sql

[1403] INSERT INTO user_skin_data (user_id, skin_type, concerns, goals, emotion_data)

[1404] VALUES ('12345', 'Dry skin', 'Blemishes', 'Whitening', 'Facial photo binary data');

[1405] Step 5:

[1406] Server: Passes the saved user skin data to the AI ​​model and begins analysis. The AI ​​model generates an optimal skin care plan and product list based on the user's skin data.

[1407] Step 6:

[1408] AI model: As a result of the analysis, it generates advice such as "Use a moisturizing lotion" or "Use a serum containing whitening ingredients" along with a list of recommended products.

[1409] Step 7:

[1410] Server: Receives the analysis results of the AI ​​model and then analyzes them using the emotion engine.

[1411] Step 8:

[1412] Server: Passes emotion data to the emotion engine to analyze the user's emotional state. The emotion engine uses facial recognition technology to identify the user's emotional state (happiness, sadness, stress, etc.).

[1413] Step 9:

[1414] Emotion engine: As a result of the analysis, it generates a result such as "the user is feeling stressed" and feeds that result back to the server.

[1415] Step 10:

[1416] Server: Adjust the advice content based on feedback from the emotion engine. For example, add "skin care products with relaxing effects that help relieve stress" or "mental care advice."

[1417] Step 11:

[1418] Server: Formats the final analysis results and recommended product list into JSON format for the user and generates an API response to send to the device.

[1419] Step 12:

[1420] Terminal: Receives the response from the server, parses the results, and prepares them for display in the user interface. For example,

[1421] Recommended tips: Use a moisturizing lotion. Listen to relaxing music for mental care.

[1422] Recommended Products:

[1423] 1. Moisturizing Lotion A - 2,000 yen

[1424] 2. Whitening Serum B - 3,000 yen

[1425] 3. Relaxation Balm C - 1,500 yen

[1426] Step 13:

[1427] User: Review the advice and product recommendations to implement the skin care routine that best suits them. Purchase the products shown, if desired.

[1428] In this way, the beauty care support system of the present invention efficiently analyzes the user's input information and emotional state, and provides individually customized beauty advice and product recommendations.

[1429] Example 2

[1430] 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."

[1431] In modern beauty care, there is a demand for optimal skin care plans tailored to individual users' needs. However, conventional systems are unable to provide advice that takes into account the user's emotional state, making it difficult to fully increase user satisfaction. Another issue is that past data cannot be effectively utilized to improve future advice.

[1432] 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.

[1433] In this invention, the server includes means for accepting input from a user, means for transmitting the accepted input to a computer, means for the computer to use artificial intelligence to analyze the user's input, means for analyzing the user's emotions using facial recognition data, and means for providing the user with the analysis results, thereby enabling the provision of an optimal skin care plan that takes into account the user's individual needs and emotional state.

[1434] "User" refers to an individual who uses the system to receive beauty care advice.

[1435] "Input" is information that a user provides to the system, including skin condition, concerns, goals, and facial recognition data.

[1436] "Means" refers to a technical device for performing a certain function or combination of functions.

[1437] "Computer" refers to a computer system for processing and storing data.

[1438] "Analysis" refers to data processing to generate an optimal skin care plan based on information provided by the user.

[1439] "Artificial intelligence" refers to a computer program that analyzes large amounts of data, recognizes patterns and relationships, and derives optimal solutions.

[1440] "Facial recognition" refers to an image processing technology for detecting emotions and features from a user's face.

[1441] "Emotion" refers to the psychological state, such as stress or relaxation, that the user is experiencing.

[1442] A "skin care plan" refers to a list of recommended beauty care methods and products based on the user's skin condition and goals.

[1443] A "database" refers to an information management system for systematically storing analysis results and past data.

[1444] The present invention provides a beauty care support system that proposes an optimal skin care plan based on information provided by a user and provides advice that takes the user's emotions into consideration. This system mainly consists of the following components:

[1445] User Input Interface

[1446] Users access the application using a smartphone or PC. A form appears on the screen, allowing them to enter their skin condition (e.g., dry skin, oily skin), concerns (e.g., spots, wrinkles, acne), and goals (e.g., whitening, moisturizing, anti-aging). After entering this information, the user uses the camera function to perform facial recognition and record their current emotional state.

[1447] Data transmission

[1448] The device converts the user-entered information and facial recognition data into JSON format and sends it to the server using a secure communication protocol (e.g., HTTPS).

[1449] Data processing and analysis

[1450] The server receives data sent from the device and stores it in a NoSQL database (e.g., MongoDB). The stored data is analyzed using an artificial intelligence model and emotion engine. The artificial intelligence model uses TensorFlow and PyTorch, which generates an optimal skin care plan based on the user's skin condition, concerns, and goals. The emotion engine uses OpenCV and Dlib to analyze the user's emotions based on facial recognition data.

[1451] Advice Generation

[1452] The server integrates the analysis results from the artificial intelligence model and emotion engine to generate optimal advice for the user, such as skin care products as well as mental care advice to help relieve stress.

[1453] Providing advice

[1454] The generated advice is formatted in a user-friendly format and sent to the terminal, which displays the advice in a user interface for the user to view.

[1455] Specific examples

[1456] For example, consider a scenario in which a user inputs the following information: "Dry skin," "I'm concerned about blemishes," and "I want to brighten my skin," along with emotional data such as "stress" recognized using the camera function.

[1457] The device converts this information into JSON format and sends it. The server receives the data, stores it in a database, and then analyzes it using an artificial intelligence model and emotion engine. It then generates advice such as: "Use a lotion with moisturizing properties," "Use a beauty serum with whitening ingredients," or "Try an aroma that has a relaxing effect."

[1458] Prompt Sentence Examples

[1459] "If a user launches the application and enters 'dry skin,' 'stress,' and 'whitening' into the input form, how will the system respond?"

[1460] Based on this input data, the server generates an optimal skin care plan and emotional advice and provides it to the user.

[1461] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1462] Step 1:

[1463] A user launches the application and enters information into an input form. Specifically, the user provides skin condition (e.g., "dry skin"), concerns (e.g., "worried about dark spots"), goals (e.g., "whitening"), and facial recognition data using the camera function. This input includes text data and image data. The output is an input dataset containing all the information provided by the user.

[1464] Step 2:

[1465] The device converts the input data and facial recognition data into JSON format. Specifically, it structures the digital input and image data into a JSON object like this:

[1466] json

[1467] {

[1468] "skin_type": "dry skin",

[1469] "concerns": "stains",

[1470] "goals": "whitening",

[1471] "emotion_data": "stress"

[1472] }

[1473] Based on this input data, it generates JSON data converted into an appropriate format. The output is structured JSON format data.

[1474] Step 3:

[1475] The terminal sends JSON data to the server. Specifically, the data is sent to the server using a secure communication protocol such as HTTPS. The input is the JSON data, and the output is a confirmation that the server has received the data.

[1476] Step 4:

[1477] The server stores the received data in a database. Specifically, it inserts data into a NoSQL database (e.g., MongoDB). The input is JSON data, and the output is a record stored in the database.

[1478] Step 5:

[1479] The server passes the stored data to an AI model, which then generates a skin care plan. Specifically, the data is analyzed using an AI framework (e.g., TensorFlow or PyTorch). The input is the stored user data, and the output is a skin care plan (e.g., "lotion with moisturizing effects" or "serum containing whitening ingredients") as the analysis result.

[1480] Step 6:

[1481] The server passes the facial recognition data to the emotion engine to analyze the emotion. Specifically, emotion analysis is performed using a facial recognition library (e.g., OpenCV or Dlib). The input is the facial recognition data, and the output is the analyzed emotional state (e.g., "feeling stressed").

[1482] Step 7:

[1483] The server integrates the analysis results from the AI ​​model and the emotion engine to generate optimal advice. Specifically, it constructs additional advice based on the skin care plan and emotional state. The input is the skin care plan and emotional state, and the output is comprehensive advice provided to the user (e.g., "Use a moisturizing lotion" or "Try an aroma that has a relaxing effect").

[1484] Step 8:

[1485] The server sends the generated advice to the terminal, formatting it in a user-friendly format and transmitting it using a secure communication protocol such as HTTPS. The input is the overall advice, and the output is the formatted advice sent to the terminal.

[1486] Step 9:

[1487] The device displays the received advice in a user interface. Specifically, it uses a suitable UI framework (e.g., React Native or Flutter) to visually display the advice. The input is the formatted advice, and the output is the display content that the user can view.

[1488] Step 10:

[1489] The user performs skin care based on the displayed advice and purchases recommended products as necessary. Specifically, the user performs actual skin care based on the provided advice and product list. The input is the displayed advice and product list, and the output is the user's actual skin care action.

[1490] (Application example 2)

[1491] 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."

[1492] Conventional beauty care support systems only provide skin care advice based on user input, but lack the ability to adjust the advice based on the user's emotional state. Furthermore, the lack of a system for users to receive real-time skin care advice in physical stores makes it difficult for them to efficiently select and purchase skin care products. To address these issues, a beauty care support system that recognizes the user's emotions and adjusts advice accordingly is needed.

[1493] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1494] In this invention, the server includes means for accepting input from a user, means for transmitting the accepted input to the server, means for the server to use artificial intelligence to analyze the user's input, means for analyzing the user's emotions using facial recognition technology, means for adjusting advice content based on the emotion analysis results, and means for providing the analysis results to the user. This enables optimal advice based on the user's individual needs and emotional state to be provided in real time, making it possible to streamline selection and purchase of skin care products in physical stores.

[1495] The "means for accepting input from the user" is used to provide an interface that allows the user to input information such as their skin condition, concerns, and goals.

[1496] "Means for transmitting accepted input to a server" refers to a communication means for transferring data entered by a user to a remote server.

[1497] "Means for the server to use artificial intelligence to analyze user input" refers to artificial intelligence technology used to recommend optimal skin care regimes and products based on the user's input.

[1498] "Means for analyzing a user's emotions using facial recognition technology" refers to technology for recognizing and analyzing a user's emotional state from a facial image.

[1499] The "means for adjusting the content of advice based on the results of emotion analysis" is a means for dynamically changing the content of skin care advice provided to the user based on the results of emotion analysis obtained using face recognition technology.

[1500] "Means for providing analysis results to the user" refers to an interface that provides feedback of the analysis results to the user in visual or text format, allowing the user to act on the results.

[1501] The beauty care support system of this invention begins when a user accesses an application using a smartphone, smart glasses, or other device and inputs information about their skin condition, concerns, and goals. This information is sent from the device to a server. The server then uses artificial intelligence technology to analyze the user's input data and generate an optimal skin care plan and product recommendations. The server also uses the device's camera for facial recognition to analyze the user's emotional state. The emotional analysis results are also sent to the server, and the advice content is adjusted based on this.

[1502] Hardware and software used

[1503] The main hardware and software used in this system are as follows:

[1504] Smartphone / Smart Glasses: Equipped with a camera for accepting user input and facial recognition, it also functions as a device for receiving real-time skin care advice.

[1505] Communication method: Uses a data communication network (e.g., Wi-Fi, 4G / 5G) to transmit user input information and facial recognition data to the server.

[1506] Server: Receives, stores, and analyzes data using artificial intelligence (e.g., TensorFlow, PyTorch) and emotion engines (e.g., Affectiva).

[1507] Database: A database (e.g., MySQL, MongoDB) for storing user information and analysis results.

[1508] Data processing and calculation

[1509] 1. Accepting user input: The user enters information such as skin condition, concerns, and goals through a smartphone or smart glasses interface. This includes text forms and selection lists.

[1510] 2. Facial Recognition and Emotion Analysis: The user's face is photographed with a camera and facial recognition technology is used to analyze their emotions. By analyzing their facial expressions, the system determines their current emotional state (e.g., stress, joy).

[1511] 3. Sending data to the server: The information entered by the user and the facial recognition data are sent to the server in JSON format, which is then received and stored in a database.

[1512] 4. AI analysis: The server uses AI models to generate a skin care plan based on the received user data, recommending products and usage methods based on skin condition and concerns.

[1513] 5. Advice adjustment based on emotion analysis results: The emotion engine adjusts the skin care advice content based on the emotion data analyzed. For example, if the user is feeling stressed, it will add products and relaxation techniques that will help relieve stress.

[1514] Examples and prompts

[1515] As a concrete example, let us consider how a user might use the system in the following sequence:

[1516] User: Wears smart glasses, goes to the skin care section in the store, launches the application, and enters skin information.

[1517] Camera: Performs facial recognition and detects emotions of stress.

[1518] Server: Receives user input and facial recognition data. The AI ​​model recommends moisturizing products and adds stress reduction advice based on emotional data.

[1519] Smart glasses: Show results to users in real time and recommend specific skin care products.

[1520] Prompt Sentence Examples

[1521] It accepts user input, performs emotion recognition, and provides skin care advice.

[1522] User's skin information: dry skin, spots, whitening purpose

[1523] Emotional data: Stress

[1524] This system can provide optimal advice in real time based on the user's individual needs and emotional state, making it possible to streamline the selection and purchase of skin care products in physical stores.

[1525] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1526] Step 1:

[1527] A user launches an application on their smartphone or smart glasses and inputs information about their skin condition (e.g., dry skin), concerns (e.g., dark spots), and goals (e.g., skin whitening). This input information is collected using text forms and selection lists.

[1528] Step 2:

[1529] The device receives the input information and converts it into JSON format data, which contains all the information entered by the user. The device also activates the facial recognition camera and takes a picture of the user's face.

[1530] Step 3:

[1531] Applying facial recognition technology based on facial images captured by a camera, the system analyzes the user's emotional state. It uses an emotion engine (e.g., Affectiva) to process facial expression data and generates emotion data (e.g., stress) as a result of the analysis.

[1532] Step 4:

[1533] The device compiles the user's input data and emotional data and sends it to the server. The data, integrated in JSON format, includes skin information, concerns, goals, and emotional data. The communication method is Wi-Fi or mobile data.

[1534] Step 5:

[1535] The server analyzes the received JSON data and stores it in a database. The received data is divided into individual items such as skin information and concerns, and stored in the database for analysis.

[1536] Step 6:

[1537] An AI model (e.g., TensorFlow, PyTorch) on the server generates an optimal skin care plan based on the stored user data. The AI ​​model suggests specific products and usage methods based on the input skin data and concerns.

[1538] Step 7:

[1539] The emotion engine analyzes the emotion data on the server and adjusts the advice content based on the results. For example, if the user is feeling stressed, advice or products that will help relieve stress (such as products with relaxing scents) will be added.

[1540] Step 8:

[1541] The server converts the generated advice back into JSON format and sends it to the device, where the emotion analysis results and the skin care plan are integrated and returned to the user.

[1542] Step 9:

[1543] The device displays the received data through a user interface, providing a visual list of specific skin care products and instructions on how to use them, allowing the user to act on the advice.

[1544] This step allows users to receive appropriate skin care advice in real time even in physical stores, enabling efficient product selection and purchase.

[1545] 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.

[1546] 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.

[1547] 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 robot 414.

[1548] 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.

[1549] 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.

[1550] 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.

[1551] 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).

[1552] 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.

[1553] 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."

[1554] 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.

[1555] 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).

[1556] 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.

[1557] 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.

[1558] 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.

[1559] 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.

[1560] 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.

[1561] 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.

[1562] 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.

[1563] 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.

[1564] 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.

[1565] 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.

[1566] The following is further disclosed regarding the above embodiment.

[1567] (Claim 1)

[1568] means for accepting input from a user;

[1569] means for transmitting the received input to a server;

[1570] a means by which the server uses artificial intelligence to analyze the user's input;

[1571] a means for providing the analysis results to a user;

[1572] A beauty care support system including:

[1573] (Claim 2)

[1574] The beauty care support system according to claim 1, wherein the artificial intelligence recommends an optimal skin care plan based on the user's skin condition, concerns, and goals.

[1575] (Claim 3)

[1576] 2. The beauty care support system according to claim 1, wherein the server stores the analysis results in a database so that the user can refer to them again in the future.

[1577] "Example 1"

[1578] (Claim 1)

[1579] means for accepting input from a user;

[1580] means for converting the received input into a data format and transmitting the data to a server;

[1581] A means for the server to analyze the input information stored in the database using artificial intelligence;

[1582] A means for formatting the analysis results and providing them to the user;

[1583] A system including:

[1584] (Claim 2)

[1585] The system of claim 1, wherein the artificial intelligence recommends an optimal skin care plan based on the user's skin condition, concerns, and goals.

[1586] (Claim 3)

[1587] 2. The system of claim 1, wherein the server stores the analysis results in a database so that the user can refer to them again in the future.

[1588] "Application Example 1"

[1589] (Claim 1)

[1590] means for accepting input from a user;

[1591] means for transmitting the received input to a server;

[1592] a means by which the server uses artificial intelligence to analyze the user's input;

[1593] a means for providing the analysis results to a user;

[1594] A method for customers to input their skin condition, concerns, and goals using a dedicated terminal at a physical store,

[1595] a means for transmitting the input data to a server, and the server generating and providing customized skin care advice and a recommended product list to the user in real time;

[1596] A system including:

[1597] (Claim 2)

[1598] The system of claim 1, wherein the artificial intelligence recommends an optimal skin care plan based on the user's skin condition, concerns, and goals.

[1599] (Claim 3)

[1600] 2. The system of claim 1, wherein the server stores the analysis results in a database so that the user can refer to them again in the future.

[1601] "Example 2: Combining Emotion Engines"

[1602] (Claim 1)

[1603] means for accepting input from a user;

[1604] means for transmitting the received input to a computer;

[1605] means for the computer to use artificial intelligence to analyze the user's input;

[1606] means for analyzing emotions using facial recognition data of a user;

[1607] a means for providing the analysis results to a user;

[1608] A system including:

[1609] (Claim 2)

[1610] The system of claim 1, wherein the artificial intelligence recommends an optimal skin care plan based on the user's skin condition, concerns, and goals.

[1611] (Claim 3)

[1612] 2. The system according to claim 1, wherein the computer stores the analysis results in a database so that the user can refer to them again in the future.

[1613] "Application example 2 when combining emotion engines"

[1614] (Claim 1)

[1615] means for accepting input from a user;

[1616] means for transmitting the received input to a server;

[1617] a means by which the server uses artificial intelligence to analyze the user's input;

[1618] means for analyzing a user's emotions using facial recognition technology;

[1619] A means for adjusting advice content based on the emotion analysis results;

[1620] a means for providing the analysis results to a user;

[1621] A system including:

[1622] (Claim 2)

[1623] The system of claim 1, wherein the artificial intelligence recommends an optimal skin care plan based on the user's skin condition, concerns, and goals, and provides additional advice based on the user's emotional state.

[1624] (Claim 3)

[1625] The system of claim 1, wherein the server stores the analysis results in a database for the user to refer to again in the future, and improves advice based on past data and the sentiment analysis results. [Explanation of symbols]

[1626] 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. means for accepting input from a user; means for transmitting the received input to a server; a means by which the server uses artificial intelligence to analyze the user's input; a means for providing the analysis results to a user; A beauty care support system including:

2. The beauty care support system according to claim 1, wherein the artificial intelligence recommends an optimal skin care plan based on the user's skin condition, concerns, and goals.

3. 2. The beauty care support system according to claim 1, wherein the server stores the analysis results in a database so that the user can refer to them again in the future.

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