System

Abstract

A system is provided.SOLUTION: Means for causing a user to input a favorite brand, an image of a favorite coordinate, and body shape information, means for transmitting the information input by the user to a server and storing the information in a database, means for causing the user to input a specific event and a budget and transmitting the information to the server, the server acquiring the user information from the database and generating a coordinate suitable for the user on the basis of the specific event and the budget, A system comprising: means for transmitting the coordinate to the terminal; means for displaying the coordinate received by the terminal to the user; means for transmitting purchase information of an item selected by the user to the server and causing the server to confirm stock of the item and execute a purchase procedure; and means for transmitting information indicating completion of the purchase procedure to the terminal and displaying the purchase confirmation information to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Today, women in their 20s to 40s often struggle with choosing what to wear. Choosing an outfit for a specific event or daily schedule requires checking multiple brands and product pages individually, which takes a lot of time and effort. It can also be difficult to find the perfect outfit that suits a person's body type and budget. Furthermore, keeping up with constantly changing fashion trends makes gathering information even more complicated. To solve these issues, a system is needed that can suggest the best fashion outfit based on the user's preferences and body type information. [Means for solving the problem]

[0005] To solve the above problems, the system of the present invention provides the following means. First, the system has a means for prompting a user to input their favorite brand, an image of their favorite outfit, and body shape information, and then transmitting that information to a server and storing it in a database. Next, the system has a means for the user to input a specific event and budget and transmit that information to the server. The server retrieves the user information from the database, generates an outfit suited to the user based on the specific event and budget, and transmits it to the terminal. The terminal displays the received outfit to the user, and the user transmits purchase information for the selected items to the server. The server checks the item inventory, completes the purchase procedure, and transmits completed purchase information to the terminal. The terminal displays purchase confirmation information to the user. This series of means enables users to quickly and efficiently find and purchase fashion outfits that suit them. The server also combines products from multiple brands to expand the range of suggestions available to users and displays visually verifiable product images, improving the user experience.

[0006] definition statement

[0007] "User" refers to a person who uses the system to receive clothing coordination suggestions.

[0008] A "brand" refers to a set of categories of fashion products offered by a designer or manufacturer.

[0009] "Coordination" refers to the combination of a set of fashion items that suits an event or daily schedule.

[0010] "Image" means a digital file that represents a visually identifiable representation of an outfit or product.

[0011] "Body shape information" refers to data that indicates the user's physical characteristics, such as height, inseam, and waist.

[0012] An "event" refers to a specific scene or situation in which a user participates, and includes, for example, an entrance ceremony or a trip.

[0013] "Budget" refers to the maximum expenditure amount set by the user for a coordination proposal.

[0014] "Terminal" refers to a computer device used by a user to input information, view outfits, make purchases, and so on.

[0015] "Server" refers to a central processing unit that receives information sent by users, stores it in a database, and performs necessary data processing.

[0016] "Database" refers to a digital information storage device for storing user information, coordination information, event information, and the like.

[0017] "Inventory" refers to data indicating whether a particular fashion item is in stock.

[0018] "Checkout" refers to the process by which a user confirms the purchase of selected items and prepares for payment and delivery.

[0019] "Product Image" means a digital image file that visually represents the actual product. [Brief explanation of the drawings]

[0020] [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 illustrating 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

[0021] 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.

[0022] First, the terms used in the following description will be explained.

[0023] 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).

[0024] 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.

[0025] 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.

[0026] 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.

[0027] 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."

[0028] [First embodiment]

[0029] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0030] 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.

[0031] 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).

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0037] 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.

[0038] 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.

[0039] 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.

[0040] 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."

[0041] MODE FOR CARRYING OUT THE INVENTION

[0042] The system of the present invention enables users to efficiently select and purchase fashion coordinates. Below, the processing of the system program will be explained in natural language, with concrete examples.

[0043] 1. User information registration

[0044] The user logs into the system using a terminal. After logging in, an information registration screen is displayed, where the user enters their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm). The terminal generates a data packet to send this information to the server, and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[0045] Examples:

[0046] The user inputs "Brand A," "photoA.jpg," and "height 160cm, inseam 75cm." The device sends this information to the server, which stores it in a database.

[0047] 2. Coordination suggestions for everyday wear and events

[0048] The user uses their device to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. The server takes into account the user's preferences and body shape information and combines appropriate products from multiple brands to generate the outfit. The generated outfit and product images are sent to the device, which displays it to the user.

[0049] Examples:

[0050] The user inputs "entrance ceremony" and "under 10,000 yen" and sends a request to the server. The server suggests "a suit from brand A" and "a blouse from brand B" and sends them to the terminal along with product images. The terminal displays them to the user.

[0051] 3. Check and purchase the product

[0052] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user, completing the purchase procedure.

[0053] Examples:

[0054] The user selects a "suit from brand A" and a "blouse from brand B," and the terminal sends a purchase request to the server. The server checks the inventory and completes the purchase procedure. The terminal displays purchase confirmation information to the user.

[0055] This system allows users to efficiently find fashion coordination that suits their tastes and body type, and easily complete the purchasing process. In addition, by combining products from multiple brands, a wider range of suggestions is possible, improving user satisfaction.

[0056] The processing flow will be explained below.

[0057] Indeed, the specific processing flow will be explained in the following format.

[0058] 1. User information registration

[0059] Step 1:

[0060] A user logs in to the system at a terminal. A login screen is displayed and the user enters login information.

[0061] Step 2:

[0062] The terminal generates a data packet for transmitting the login information entered by the user to the server. The data packet includes the user ID and password.

[0063] Step 3:

[0064] The server analyzes the received data packet and performs authentication processing. If authentication is successful, it sends a login success message to the terminal.

[0065] Step 4:

[0066] After receiving the login success message, the terminal displays a user information registration screen, where the user inputs their favorite brand, an image of their favorite outfit, and their body shape information.

[0067] Step 5:

[0068] The terminal generates a data packet for transmitting the information input by the user to the server, and transmits the data packet to the server.

[0069] Step 6:

[0070] The server analyzes the received data packets and stores the user information in a database.

[0071] Step 7:

[0072] The server sends a save completion notification to the terminal.

[0073] Step 8:

[0074] The terminal receives the save completion notification and displays a save completion message to the user.

[0075] ---

[0076] 2. Coordination suggestions for everyday wear and events

[0077] Step 1:

[0078] The user opens a request screen for outfit suggestions on their device and enters the event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen).

[0079] Step 2:

[0080] The terminal generates a data packet for transmitting the input request data to the server, and transmits the data packet to the server.

[0081] Step 3:

[0082] The server analyzes the received request data and extracts the event and budget information specified by the user.

[0083] Step 4:

[0084] The server retrieves user information from a database and runs a coordinate generation algorithm.

[0085] Step 5:

[0086] The server considers the user's preferences, body type, event, and budget, selects products from multiple brands, and generates a coordination.

[0087] Step 6:

[0088] The server generates a data packet including the generated coordinates and product images and transmits it to the terminal.

[0089] Step 7:

[0090] The terminal analyzes the received data packet and displays the suggested coordination and product images to the user.

[0091] ---

[0092] 3. Check and purchase the product

[0093] Step 1:

[0094] The user selects the items they wish to purchase from the displayed coordination suggestions.

[0095] Step 2:

[0096] The terminal acquires information about the selected item, generates a purchase data packet, and transmits it to the server.

[0097] Step 3:

[0098] The server analyzes the received purchase data packet and checks the item's inventory.

[0099] Step 4:

[0100] If the server can confirm the availability, it executes the purchase procedure.

[0101] Step 5:

[0102] The server generates a data packet including a notification of completion of the purchase procedure and transmits it to the terminal.

[0103] Step 6:

[0104] The terminal receives the notification that the purchase procedure has been completed and displays purchase confirmation information to the user.

[0105] In this way, the system of the present invention can efficiently carry out the process from user information registration to coordination suggestions, product selection, and purchase procedures in an orderly manner.

[0106] Example 1

[0107] 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."

[0108] In conventional fashion coordination systems, it is difficult for users to receive efficient coordination suggestions based on their preferences and body shape information. Furthermore, there is a lack of appropriate product suggestions for specific events or budgets, resulting in low user satisfaction. Furthermore, it is difficult to suggest combinations of multiple brands, limiting options.

[0109] 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.

[0110] In this invention, the server includes: means for allowing a user to input a preferred brand, an image of the preferred clothing, and body shape data; means for transmitting the information input by the user to the server and storing it in an information storage device; means for allowing a user to input a specific event and budget and transmitting the information to the server; means for the server to acquire the user data from the information storage device, generate clothing suitable for the user based on the specific event and budget, and transmit the generated clothing to the information processing device; means for the server to display the clothing received by the information processing device to the user; means for transmitting product purchase information selected by the user to the server, which the server uses to check product inventory and complete the purchase process; and means for transmitting information indicating the completion of the purchase process to the information processing device and displaying the purchase confirmation information to the user. This allows users to receive efficient coordination suggestions based on their preferences and body shape, and to receive product suggestions appropriate for a specific event or budget. Furthermore, suggestions combining multiple brands expand options and improve user satisfaction.

[0111] - "User" refers to an individual who uses the System to select and purchase fashion outfits.

[0112] A "trademark" refers to the name of a brand or manufacturer, and is a name used to identify a specific product or service.

[0113] "Clothing" refers to fashion items such as clothes and accessories selected by the user.

[0114] "Body shape data" refers to physical information such as the user's height, weight, and inseam, and is data used to ensure an individual fit.

[0115] "Information storage device" refers to a database or storage device for saving data entered by a user.

[0116] A "specific event" refers to a specific event in which a user participates, such as an entrance ceremony or wedding.

[0117] "Budget" refers to the amount of money that a user can spend on fashion coordination.

[0118] "Information processing device" refers to a terminal such as a computer or smartphone used by a user.

[0119] "Product purchase information" refers to specific information about the fashion item that the user wishes to purchase.

[0120] "Product inventory" refers to the current inventory status of the product desired for purchase as confirmed by the server.

[0121] These definitions provide a concrete understanding of key terms contained in the claims.

[0122] The system of the present invention allows users to efficiently select and easily purchase fashion coordinates. A specific embodiment of this system will now be described.

[0123] First, the user logs into the system using their own device (for example, a computer or smartphone). When logging in, the user enters their ID and password, and the device sends this information to the server. The server compares the received information with an information storage device (database) and performs authentication. If authentication is successful, an information registration screen is displayed on the device.

[0124] The user enters the following information on the registration screen:

[0125] 1. Favorite Brands

[0126] 2. An image of your favorite outfit

[0127] 3. Body data (e.g. height 160cm, inseam 75cm)

[0128] Once the input is complete, the terminal converts the information into a data packet and sends it to the server. The server analyzes the received data and stores it in an information storage device. A message indicating that the data has been saved is displayed on the terminal.

[0129] Next, the user requests an outfit suggestion. They open the suggestion request screen on their device and enter the specific event (e.g., entrance ceremony) and budget (e.g., under 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the received request data and obtains user information from an information storage device. The server combines appropriate clothing from multiple brands, taking into account the specific event, budget, and the user's preferences and body shape data, to generate an outfit. The generated outfit and product images are sent to the device, which displays them to the user.

[0130] As a concrete example, consider the case where a user requests "entrance ceremony" and "under 10,000 yen." The server proposes "a suit with brand A" and "a blouse with brand B," and sends them to the terminal along with product images. The terminal displays them to the user.

[0131] When the user selects an item they wish to purchase from the displayed coordination suggestions, the terminal acquires information about the selected item and sends it to the server. The server checks the inventory of the received item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends information indicating that the purchase has been completed to the terminal, and the terminal displays purchase confirmation information to the user.

[0132] For example, a user selects a "suit with brand A" and a "blouse with brand B," and the terminal sends a purchase request to the server. In this case, the server checks the inventory and completes the purchase procedure. The terminal displays purchase confirmation information to the user.

[0133] Furthermore, this system is equipped with a generative AI model that suggests the best coordination for the user's request. Below is an example of a prompt sentence that can be input to the generative AI model:

[0134] "Please suggest a fashion outfit suitable for an entrance ceremony, costing less than 10,000 yen. The user's body information is height 160cm, inseam 75cm. The user's favorite trademark is Trademark A."

[0135] "Please suggest a casual outfit for the weekend for under 30,000 yen. The user's body measurements are height 170cm, waist 85cm."

[0136] This invention allows users to find efficient fashion coordination based on their preferences and body type, and easily complete the purchasing process. It also allows users to combine products from a wide range of brands, improving user satisfaction.

[0137] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0138] Step 1: User Login

[0139] (Input) The user enters the ID and password on the terminal.

[0140] (Processing) The terminal converts the entered login information into a data packet and sends it to the server.

[0141] (Data processing / calculation) The server compares the received login information with the information storage device (database) and performs authentication.

[0142] (Output) The server sends the authentication result to the terminal, and if the terminal is successfully authenticated, it displays the information registration screen.

[0143] Specifically, when the login button is pressed on the terminal, a request is sent to the server, and the authentication process begins in the information storage device. Based on the authentication result, the following screen is displayed.

[0144] Step 2: Register your information

[0145] (Input) The user inputs their preferred trademark, an image of their preferred clothing, and body shape data on the information registration screen.

[0146] (Processing) The terminal converts the input information into a data packet and sends it to the server.

[0147] (Data processing / calculation) The server analyzes the received data and stores it in the information storage device.

[0148] (Output) The server sends a message indicating that the save is complete to the terminal, and the terminal displays the message indicating that the save is complete to the user.

[0149] Specifically, when a user enters and submits information, the server analyzes and saves the data and notifies the device of the results.

[0150] Step 3: Coordination proposal request

[0151] (Input) The user inputs a specific event and budget on the coordination proposal request screen.

[0152] (Processing) The terminal creates request data and sends it to the server.

[0153] (Data processing / calculation) The server analyzes the received request data and acquires user information from the information storage device.

[0154] (Output) Based on the user information and request content acquired by the server, a coordination proposal is generated and sent to the terminal.

[0155] Specifically, when a user inputs a specific event and budget and submits a request, the server extracts the necessary information from the database and uses a generative AI model to suggest the optimal outfit.

[0156] Step 4: Viewing Proposals

[0157] (Input) Coordination suggestions and product images generated by the server.

[0158] (Processing) The terminal displays the coordination suggestions and product images received from the server.

[0159] (Data processing / calculation) The data generated by the server is sent to the terminal and converted into a format that can be displayed by the terminal.

[0160] (Output) Coordination suggestions and product images are displayed in a form that the user can visually confirm.

[0161] Specifically, suggestions and images are displayed on the device, allowing the user to make a selection based on them.

[0162] Step 5: Select your purchase

[0163] (Input) Selection information of the item the user wishes to purchase.

[0164] (Processing) The terminal obtains information about the selected item and sends it to the server.

[0165] (Data processing / calculation) The server analyzes the selection information received and checks product inventory.

[0166] (Output) The server sends the inventory check results and information about the purchase procedure to the terminal.

[0167] Specifically, when a user selects a product and submits a purchase request, the server checks the inventory and returns the results to the terminal.

[0168] Step 6: Complete your purchase

[0169] (Input) The server checks the stock and sends the purchase completion information.

[0170] (Processing) The terminal displays the purchase procedure completion information received from the server.

[0171] (Data processing / calculation) After the server checks the inventory, it executes the purchase procedure and sends the results to the terminal.

[0172] (Output) The user is notified that the purchase has been completed.

[0173] Specifically, purchase procedure completion information is displayed on the terminal to notify the user that the purchase has been completed.

[0174] (Application example 1)

[0175] 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."

[0176] Today's consumers want to efficiently select the perfect fashion outfit for a specific event or budget, while also wanting to reduce the time and effort required to visit a physical store. Furthermore, online shopping does not allow users to directly check the fit and appearance of the product, which can lead to lower post-purchase satisfaction. Given these circumstances, there is a need for a system that allows users to try on items in a virtual space and provides optimal outfits based on user information and preferences.

[0177] 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.

[0178] In this invention, the server includes means for storing user information and body shape information in a database, means for utilizing a generative AI model to generate outfits based on an event and a budget, and means for using virtual reality or augmented reality to try on items in a virtual space, thereby enabling consumers to efficiently select and purchase the fashion outfit that best suits them while trying on items in the virtual space.

[0179] "User information" is data including favorite brands, images of favorite outfits, and body shape information that a user inputs into the system.

[0180] A "server" is a computer system that receives information sent by a user, stores it in a database, and then generates and sends the optimal coordination to the user.

[0181] "Database" means a system for systematically storing and managing user information and other related data.

[0182] "Terminal" refers to a device that a user uses to enter information, receive outfit suggestions, and purchase items.

[0183] A "virtual space" is an environment in which users can visually experience digital content using virtual reality or augmented reality technology.

[0184] A "generative AI model" is an algorithm that uses artificial intelligence technology to generate optimal fashion coordination based on user information, events, and budget.

[0185] A "prompt" is an instruction entered into a generative AI model and contains the necessary information to generate a coordination suggestion.

[0186] The embodiment of the present invention is a system that enables a user to try on fashion items in a virtual space and efficiently select and purchase the fashion coordination that best suits them. The specific configuration and processing of the system will be described below.

[0187] First, the user puts on a device such as smart glasses or a head-mounted display and starts the application. A login screen appears and the user enters their account information. When logging in for the first time, they enter their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160 cm, inseam 75 cm). This information is sent from the device to the server, which then stores it in a database (e.g., PostgreSQL).

[0188] Next, the user inputs a specific event (e.g., a party) and budget (amount). The device analyzes this information, creates a prompt for a generative AI model (e.g., GPT-4) to generate fashion suggestions, and sends it to the server. An example of a specific prompt is as follows:

[0189] "To generate fashion suggestions, please suggest outfits based on the following information: The user's favorite brand is Brand A, their height is 160cm, and their inseam is 75cm. The event is a party, and their budget is within 10,000 yen."

[0190] The server uses a generative AI model to generate optimal outfit suggestions for the user based on the prompt text. At this time, the generated outfit information and product images (3D models) are sent to the device, allowing the user to visually check and try on the outfits in the virtual space.

[0191] If the user checks the outfits they have tried on and wishes to purchase them, they send the purchase information to the server. The server checks the product's inventory and carries out the purchase procedure. Once the purchase procedure is complete, confirmation information is sent to the terminal and displayed to the user.

[0192] The hardware used includes smart glasses (e.g., Nreal Light) and head-mounted displays (e.g., Oculus Quest 2), while the software used includes Unity (3D modeling and interaction creation), Python (implementation of generative AI models and backend processing), and TensorFlow (AI models).

[0193] For example, if a user logs in and enters their favorite brand as "Brand B," their event as "Wedding," and their budget as "15,000 yen," the generated prompt text will be as follows:

[0194] "To generate fashion suggestions, please suggest outfits based on the following information: The user's favorite brand is Brand B, their height is 160cm, and their inseam is 75cm. The event is a wedding, and their budget is within 15,000 yen."

[0195] By sending this prompt to an AI model, the optimal outfit tailored to the event and budget can be generated and displayed on the app.

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

[0197] Step 1:

[0198] The user puts on smart glasses or a head-mounted display and starts the application. The information entered is a login ID and password, which the device sends to the server. The server authenticates the user, and if login is successful, the device displays an input screen on the device asking for the user's favorite brand, outfit image, and body shape information (e.g., height 160 cm, inseam 75 cm) when they first log in. Once the user has entered this information, the device sends it to the server as a data packet. The server analyzes the data and stores it in a database.

[0199] Step 2:

[0200] The user inputs a specific event (e.g., a party) and their budget (amount). After this data is input, it is sent from the device to the server. The server analyzes this information and uses a generative AI model (e.g., GPT-4) to create a prompt that generates outfit suggestions. An example of a specific prompt is as follows: "To generate fashion suggestions, please suggest an outfit based on the following information. The user's favorite brand is Brand A, their height is 160 cm, and their inseam is 75 cm. The event is a party, and their budget is within 10,000 yen."

[0201] Step 3:

[0202] The server sends a prompt to the generative AI model, requesting it to generate the optimal outfit proposal for the user. The generative AI model performs data calculations based on user information, events, and budget, and generates the optimal outfit. The generated outfit information and product images (3D models) are sent from the server to the device, which displays them in a visually verifiable format within the virtual space.

[0203] Step 4:

[0204] The user tries on suggested outfits in a virtual space. They can check the look and fit of the items through their movements and inputs. Based on the results of the try-on, the user selects the items they wish to purchase. Information about the selected items is sent from the device to the server.

[0205] Step 5:

[0206] The server checks the inventory of the selected item information and begins the purchase procedure. As part of the necessary data processing, it checks the inventory database to determine whether the item is in stock. Based on the results, it proceeds with the purchase procedure and generates payment information. After the payment information is generated, the server sends purchase confirmation information to the terminal. The terminal displays the purchase confirmation information to the user, completing the purchase procedure.

[0207] Through the above processing steps, the user can try on items in the virtual space and efficiently select and purchase the fashion coordination that best suits them.

[0208] 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.

[0209] MODE FOR CARRYING OUT THE INVENTION

[0210] The system of the present invention provides a mechanism incorporating an emotion engine to enable users to efficiently select and purchase fashion coordinates. Below, the processing of the system's program will be explained in natural language, with concrete examples.

[0211] 1. User information registration

[0212] The user logs into the system using a terminal. After logging in, an information registration screen is displayed, where the user enters their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm). The terminal generates a data packet to send this information to the server, and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[0213] Examples:

[0214] The user inputs "Brand A," "photoA.jpg," and "height 160cm, inseam 75cm." The device sends this information to the server, which stores it in a database.

[0215] 2. Coordination suggestions for everyday wear and events

[0216] The user uses their device to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. The emotion engine also analyzes the user's facial expressions and tone of voice to determine the user's emotional state. The server selects appropriate products from multiple brands and generates an outfit, taking into account the user's preferences, body shape information, event, budget, and the analysis results of the emotion engine. The generated outfit and product images are sent to the device, which displays them to the user.

[0217] Examples:

[0218] The user inputs "entrance ceremony" and "under 10,000 yen" and sends a request to the server. The server suggests "a suit from brand A" and "a blouse from brand B," selects the color and style based on the emotion engine, and sends the results along with product images to the device. The device displays this to the user.

[0219] 3. Check and purchase the product

[0220] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user, completing the purchase procedure.

[0221] Examples:

[0222] The user selects a "suit from brand A" and a "blouse from brand B," and the terminal sends a purchase request to the server. The server checks the inventory and completes the purchase procedure. The terminal displays purchase confirmation information to the user.

[0223] Additional features: User emotion recognition

[0224] In the system of the present invention, the emotion engine analyzes the user's facial expressions and tone of voice in real time to determine their emotional state (e.g., joy, sadness, stress, etc.). This emotion data, along with the user's past selection history, is analyzed and used to suggest outfits that best match the user's current mood. For example, if the emotion engine determines that the user is relaxed, it will suggest a casual style outfit. On the other hand, if the user is nervous, it will suggest a formal style with muted colors.

[0225] Examples:

[0226] The emotion engine detects stress levels from the user's tone of voice and suggests a "relaxing dress suitable for an evening party" based on that state. The dress matches the user's favorite brand and is selected to suit their body type.

[0227] In this way, the system of the present invention can efficiently perform everything from user information registration to outfit suggestions, product selection, and purchase procedures. Furthermore, by incorporating an emotion engine, it is possible to suggest optimal outfits based on the user's emotional state, further improving user satisfaction.

[0228] The processing flow will be explained below.

[0229] MODE FOR CARRYING OUT THE INVENTION

[0230] 1. User information registration

[0231] Step 1:

[0232] A user logs in to the system at a terminal. A login screen is displayed and the user enters login information.

[0233] Step 2:

[0234] The terminal generates a data packet for transmitting the login information entered by the user to the server. The generated data packet includes the user ID and password.

[0235] Step 3:

[0236] The server analyzes the received data packet and performs authentication processing. If authentication is successful, it sends a login success message to the terminal.

[0237] Step 4:

[0238] After receiving the login success message, the terminal displays a user information registration screen, where the user inputs their favorite brand, an image of their favorite outfit, and their body shape information.

[0239] Step 5:

[0240] The terminal generates a data packet for transmitting the information input by the user to the server, and transmits the packet to the server via the network.

[0241] Step 6:

[0242] The server analyzes the received data packets and stores the user information in a database.

[0243] Step 7:

[0244] The server confirms that the user information has been saved normally, and sends a save completion notice to the terminal.

[0245] Step 8:

[0246] The terminal receives the save completion notification and displays a save completion message to the user.

[0247] 2. Coordination suggestions for everyday wear and events

[0248] Step 1:

[0249] The user opens a request screen for outfit suggestions on their device and inputs a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen).

[0250] Step 2:

[0251] The terminal generates a data packet for transmitting the input request data to the server, and transmits the data packet to the server.

[0252] Step 3:

[0253] The server analyzes the received request data and extracts the event and budget information specified by the user.

[0254] Step 4:

[0255] The server retrieves user information from the database and activates the emotion engine, which then analyzes the user's facial expressions, tone of voice, and other possible characteristics in real time to determine the user's current emotional state.

[0256] Step 5:

[0257] The server takes into account the user's preferences, body shape information, and the analysis results of the emotion engine, and executes an algorithm to generate outfits based on the event and budget.

[0258] Step 6:

[0259] The server selects and creates a coordinated outfit that suits the user from multiple brands, and retrieves product images related to the created coordinated outfit.

[0260] Step 7:

[0261] The server generates a data packet including the generated coordinates and product images and transmits it to the terminal.

[0262] Step 8:

[0263] The terminal analyzes the received data packet and displays the suggested coordination and product images to the user.

[0264] 3. Check and purchase the product

[0265] Step 1:

[0266] The user selects the items they wish to purchase from the displayed coordination suggestions.

[0267] Step 2:

[0268] The terminal acquires information about the selected item, generates a purchase data packet, and transmits it to the server.

[0269] Step 3:

[0270] The server analyzes the received purchase data packet and checks the item's inventory.

[0271] Step 4:

[0272] The server performs the checkout for in-stock items, processes the necessary payment information, and confirms the purchase.

[0273] Step 5:

[0274] The server generates a data packet including a notification of the completion of the purchase procedure and transmits it to the terminal.

[0275] Step 6:

[0276] The terminal receives notification that the purchase procedure has been completed and displays purchase confirmation information to the user.

[0277] In this way, the system of the present invention can efficiently and systematically carry out the entire process from user information registration to outfit suggestions, product selection, and purchase procedures. Furthermore, by incorporating an emotion engine, it is possible to suggest optimal outfits according to the user's emotional state, thereby improving user satisfaction.

[0278] Example 2

[0279] 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."

[0280] The present invention relates to a system that enables users to efficiently select and purchase fashion coordination. Conventional systems have difficulty proposing appropriate coordination based on a user's preferences, body shape information, specific events, and budget. Furthermore, coordination suggestions do not take into account the user's emotional state, and user satisfaction has not been improved. Therefore, there is a need for a system that analyzes a user's emotional state in real time and proposes optimal coordination based on that state.

[0281] 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.

[0282] In this invention, the server includes: means for prompting a user to input a favorite brand, an image of a favorite outfit, and body shape information; means for transmitting the information input by the user to the server and storing it in a database; means for prompting a user to input a specific event and budget and transmitting the information to the server; means for the server to retrieve the user information from the database, generate an outfit suitable for the user based on the specific event and budget, and transmit the generated outfit to the terminal; means for the terminal to display the outfit received by the user; means for analyzing the user's emotional state using an emotion analysis means and reflecting the analysis results in the outfit suggestion; means for transmitting purchase information for items selected by the user to the server, and the server confirming the availability of the items and completing the purchase procedure; and means for transmitting information indicating the completion of the purchase procedure to the terminal and displaying the purchase confirmation information to the user. This enables appropriate outfit suggestions based on the user's preferences, body shape, specific event, and budget, as well as outfit suggestions based on the user's real-time emotional state, thereby improving user satisfaction.

[0283] "User" refers to an individual who uses the system to suggest and purchase fashion coordination.

[0284] A "terminal" is a device used by a user to access the system, and includes a personal computer, a smartphone, etc.

[0285] A "server" is a computer that is the central part of a system and is responsible for receiving information from users, processing it, and storing it in a database.

[0286] "Database" refers to a data storage system that allows a server to systematically accumulate and manage user information and information necessary for coordination proposals.

[0287] "Emotion analysis means" refers to a technical means for analyzing a user's facial expression, tone of voice, etc., to determine the user's emotional state.

[0288] "Coordination" refers to suggestions for styles and clothing that combine fashion items.

[0289] An "event" refers to a specific occasion or gathering in which a user participates, and includes items that can be used as reference for coordination suggestions.

[0290] "Budget" refers to the upper limit of the amount of money a user can spend on coordination.

[0291] The "purchase procedure" refers to a series of operations and confirmation steps required for a user to confirm the purchase of an item selected by the user.

[0292] "Purchase confirmation information" is information indicating that the purchase procedure has been completed, and includes a confirmation message that is displayed to the user.

[0293] MODE FOR CARRYING OUT THE INVENTION

[0294] The system of the present invention incorporates a sentiment analysis means to enable users to efficiently select and purchase fashion coordinates. Specific embodiments of the system of the present invention will be described below.

[0295] Hardware Configuration

[0296] This system mainly uses the following hardware:

[0297] Server: Receives information from users, stores it in a database, generates coordination suggestions, and connects with emotion analysis tools.

[0298] Terminal: The device that a user uses as an interface, such as a computer, smartphone, or tablet.

[0299] Network: Infrastructure for communication between terminals and servers, primarily using the Internet.

[0300] Software Configuration

[0301] The system uses the following software:

[0302] Database Management System (DBMS): Stores and manages user information and coordination proposal information. Generally, MySQL, PostgreSQL, etc. are used.

[0303] Emotion analysis software: Analyzes a user's facial expressions and tone of voice to determine their emotional state in real time. It uses voice recognition and facial expression recognition technologies.

[0304] Web application: Provides a user interface and enables operations such as logging in, entering information, suggesting outfits, and completing purchases. This uses technologies such as HTML, CSS, and JavaScript.

[0305] Detailed system processing explanation

[0306] 1. User information registration

[0307] The user logs into the system using a terminal. After logging in, an information registration screen is displayed, where the user inputs their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm). The terminal converts this information into a data packet and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[0308] Example: A user inputs "Brand A", "photoA.jpg", and "height 160cm, inseam 75cm", and the device sends this information to the server, which stores it in a database.

[0309] 2. Coordination suggestions for everyday wear and events

[0310] The user uses the terminal to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The terminal creates request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. In addition, an emotion analysis means analyzes the user's facial expressions and tone of voice to determine the user's emotional state. The server selects appropriate products from multiple brands and generates an outfit, taking into account the user's preferences, body shape information, event, budget, and the analysis results of the emotion analysis means. The generated outfit and product images are sent to the terminal, which displays them to the user.

[0311] Example: A user inputs "entrance ceremony" and "under 10,000 yen" and sends a request to the server. The server suggests "a suit from brand A" and "a blouse from brand B," selects the color and style based on sentiment analysis, and sends the results along with product images to the device. The device displays the results to the user.

[0312] 3. Product selection and purchase procedure

[0313] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user.

[0314] Example: A user selects a "suit from brand A" and a "blouse from brand B," and the device sends a purchase request to the server. The server checks the inventory and completes the purchase process. The device displays purchase confirmation information to the user.

[0315] Prompt Sentence Examples

[0316] Here are some examples of specific prompts:

[0317] "Please suggest an outfit for the entrance ceremony that costs less than 10,000 yen."

[0318] "Please suggest a casual style that suits your mood today."

[0319] This system allows users to efficiently choose the right outfit for their preferences, body type, specific event, and budget, and receive optimal suggestions based on their real-time emotional state.It also allows for a smooth purchase process, increasing user satisfaction.

[0320] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0321] Program processing flow

[0322] Step 1: User login and registration

[0323] 1. User login

[0324] User: Enters login information (user ID and password) using a terminal.

[0325] Terminal: Takes the entered login information, converts it into a data packet, and sends it to the server.

[0326] Server: Receives login information and authenticates it by checking it against a database. After successful authentication, it sends a successful authentication message to the terminal.

[0327] Input: Login information (user ID, password)

[0328] Output: Authentication success message

[0329] 2. User Information Registration

[0330] User: Enter their favorite brand, an image of their favorite outfit, and their body shape information into the information registration screen.

[0331] Terminal: Converts input information into data packets and sends them to the server.

[0332] Server: Analyzes the received information and saves it in the database. After saving is complete, it sends a save completion message to the terminal.

[0333] Input: Favorite brand, favorite outfit image (e.g., photoA.jpg), body shape information (e.g., height 160cm, inseam 75cm)

[0334] Output: Save complete message

[0335] Specific operation: Enter "Brand A", "photoA.jpg", "height 160cm, inseam 75cm", and the device will send this information to the server, which will then store it in the database.

[0336] Step 2: Request a coordination proposal

[0337] 1. Enter your event and budget

[0338] User: Enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen).

[0339] Terminal: Creates the input request data and sends it to the server.

[0340] Input: Event (e.g., entrance ceremony), budget (e.g., within 10,000 yen)

[0341] Output: Request data

[0342] 2. Obtaining user information

[0343] Server: Retrieves user registration information from the database.

[0344] Input: Request data

[0345] Output: User information

[0346] 3. Emotion recognition

[0347] Emotion analysis means: Analyzes the user's facial expressions and tone of voice to determine their emotional state.

[0348] Input: Real-time user facial expressions and tone of voice

[0349] Output: Emotional state

[0350] 4. Coordinate Generation

[0351] Server: Selects appropriate products and generates outfits based on the user's preferences, body shape, event, budget, and emotional state.

[0352] Server: Sends the generated coordinates and product images to the device.

[0353] Input: User information, Events, Budget, Emotional state

[0354] Output: Coordination suggestions and product images

[0355] Specific operation: Enter "entrance ceremony" and "under 10,000 yen" and send a request to the server. The server will suggest "a suit from brand A" and "a blouse from brand B," select the color and style based on sentiment analysis, and send the results along with product images to the device. The device will then display this to the user.

[0356] Step 3: Product selection and checkout

[0357] 1. Product selection

[0358] User: Select the item they wish to purchase from the suggested outfits.

[0359] Terminal: Obtains the selected item information and sends it to the server.

[0360] Input: Selected item information

[0361] Output: Item information

[0362] 2. Check inventory

[0363] Server: Check the inventory of the sent item information.

[0364] Input: Item information

[0365] Output: Inventory information

[0366] 3. Purchase procedure

[0367] Server: After checking the stock, carry out the purchase procedure.

[0368] Server: Sends purchase confirmation information to the device.

[0369] Device: Display purchase confirmation information to the user.

[0370] Input: Inventory Information

[0371] Output: Purchase confirmation information

[0372] Specific operation: The user selects "Brand A suit" and "Brand B blouse," and the device sends a purchase request to the server. The server checks the inventory and completes the purchase process. The device displays purchase confirmation information to the user.

[0373] In this way, by clarifying the specific operations and inputs / outputs at each step of the system, it becomes possible to smoothly propose fashion coordination to users and carry out the purchasing process.

[0374] (Application example 2)

[0375] 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."

[0376] Conventional fashion coordination suggestion systems make suggestions without taking the user's emotional state into consideration, making it difficult to provide optimal coordination that matches the user's current mood and emotions. Furthermore, there is a lack of means for users to receive suggestions in real time at the store and smoothly complete the purchasing process. The present invention aims to solve these problems by suggesting optimal fashion coordination in real time that matches the user's emotional state and realizing a smooth purchasing process.

[0377] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for prompting the user to input a favorite brand, an image of a favorite outfit, and body shape information; means for transmitting the information input by the user to the server and storing it in a database; means for prompting the user to input a specific event and budget and transmitting it to the server; means for analyzing the user's facial expression and tone of voice using an emotion engine to determine the user's emotional state; means for the server to acquire the user information and emotional state from the database, generate an outfit suitable for the user based on the specific event and budget, and transmit it to the terminal; means for the terminal to display the outfit received to the user; means for transmitting purchase information for the item selected by the user to the server, and the server checking the inventory of the item and completing the purchase procedure; and means for transmitting information that the purchase procedure has been completed to the terminal and displaying the purchase confirmation information to the user. This allows the server to suggest optimal fashion outfits in real time according to the user's emotional state, enabling a smooth purchase procedure.

[0378] "User information" refers to personal data entered by the user, such as favorite brands, images of favorite outfits, and body shape information.

[0379] A "server" refers to a device that receives information input by a user, stores it in a database, and works with an emotion engine and database to generate and provide coordination.

[0380] "Database" refers to a storage device for storing and managing data including user information and emotion engine results.

[0381] An "emotion engine" refers to software or hardware that analyzes a user's facial expressions and tone of voice to determine their emotional state.

[0382] "Coordination" refers to a combination of fashions that is generated based on a specific event and budget, taking into account the user's preferences and body shape information.

[0383] "Terminal" refers to a device (e.g., smart glasses, smartphone, etc.) through which a user inputs information and receives outfit suggestions.

[0384] "Checkout" refers to the process of checking inventory and executing the purchase of user-selected items.

[0385] "Event" refers to a particular occasion or activity in which a user participates.

[0386] "Budget" refers to the amount of money the user plans to spend on coordination.

[0387] "Image" refers to visual data that indicates a user's preferred fashion style.

[0388] "Facial expression" refers to the user's facial movements and expressions.

[0389] "Tone of voice" refers to the pitch and intonation of the user's voice.

[0390] "Inventory" refers to the number of items available for sale.

[0391] "Purchase confirmation information" refers to a notification indicating that the purchase procedure has been completed.

[0392] The system of the present invention provides a mechanism incorporating an emotion engine to enable users to efficiently select and purchase fashion coordination. This system is composed of the following steps.

[0393] 1. User information registration

[0394] Users log in to the system using a terminal (such as smart glasses or a smartphone). After logging in, an information registration screen is displayed, and the user enters their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160 cm, inseam 75 cm). The terminal generates a data packet to send this information to the server, and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[0395] 2. Coordination suggestions

[0396] The user uses their device to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. The emotion engine also analyzes the user's facial expressions and tone of voice to determine the user's emotional state. The server selects appropriate products from multiple brands and generates an outfit, taking into account the user's preferences, body shape information, event, budget, and the analysis results of the emotion engine. The generated outfit and product images are sent to the device, which displays them to the user.

[0397] 3. Check and purchase the product

[0398] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user, completing the purchase procedure.

[0399] This system is implemented using the following hardware and software. The devices used by users include smart glasses, smartphones, and head-mounted displays. The system also uses the Emotion_Recognition library and Voice_Recognition library as its emotion engine, which allows it to analyze the user's facial expressions and tone of voice in real time to determine their emotional state. It also uses a general database management system (DBMS) for database management, and the requests library for communication to exchange HTTP requests.

[0400] Examples:

[0401] The user enters "Brand A," "photoA.jpg," and "height 160cm, inseam 75cm." The terminal sends this information to the server, which saves it in a database. Next, the user enters "entrance ceremony" and "under 10,000 yen" and sends a request to the server. Based on this, the server suggests "a suit from Brand A" and "a blouse from Brand B," and selects the color and style based on the emotion engine. The suggested product images are sent to the terminal, which the user confirms. The user selects "a suit from Brand A" and "a blouse from Brand B," and the terminal sends a purchase request to the server, which checks the inventory and completes the purchase process. The terminal displays purchase confirmation information to the user.

[0402] Example prompt sentence:

[0403] "What outfit would best suit my current mood? The event is a casual party. My budget is under 5,000 yen."

[0404] In this way, the system can suggest optimal fashion coordination in real time according to the user's emotional state, enabling a smooth purchasing process and improving user satisfaction.

[0405] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0406] Step 1:

[0407] A user logs in to the system using a terminal. At this time, the input information is the user's authentication information (user ID, password), and the output is a message indicating whether authentication was successful or failed. The terminal sends the input authentication information to the server, which then collates it with a database and returns the authentication result to the terminal.

[0408] Step 2:

[0409] The user inputs their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm) into the device. This input information is personal data, and is processed into a data packet that the server stores in a database. The output is a message indicating that the data has been saved. The device generates a data packet and sends it to the server, and the server returns a message to the device after saving the data to the database.

[0410] Step 3:

[0411] The user inputs a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen) into the terminal. The input information is the event name and budget amount, and the server generates a coordination proposal based on this. The output is a confirmation message after the request is sent to the server. The terminal generates the request data and sends it to the server.

[0412] Step 4:

[0413] The server analyzes the request data and retrieves user information from the database. At the same time, it uses an emotion engine to analyze the user's facial expressions and tone of voice to determine their emotional state. The input information is the request data and the user's real-time visual and audio data, and the output is the analysis results. The server retrieves the emotional state from the emotion engine based on these analysis results.

[0414] Step 5:

[0415] The server selects appropriate products from multiple brands and generates an outfit, taking into consideration the user's preferences, body shape information, event, budget, and the analysis results of the emotion engine. The input information is the user's information and emotional state obtained from the database, and the output is the generated outfit data. The server sends the generated outfit and product images to the terminal.

[0416] Step 6:

[0417] The terminal displays the received coordinates to the user. The input information is the coordinate data and product images sent from the server, and the output is the user's visual confirmation. The terminal displays this data to the user and provides an interface for the user to select items.

[0418] Step 7:

[0419] When the user selects an item they wish to purchase, the terminal sends information about the selected item to the server. The input information is the ID of the item selected by the user, and the output is a message confirming the purchase. The server receives the sent item information and checks the inventory.

[0420] Step 8:

[0421] The server checks the item's inventory and executes the purchase procedure. The input information is the item's inventory data and the information required for the purchase procedure, and the output is a message indicating the completion of the purchase procedure. Once the purchase procedure is completed, the server sends a purchase confirmation to the terminal.

[0422] Step 9:

[0423] The terminal displays the purchase confirmation information to the user. The input information is the purchase confirmation data sent from the server, and the output is the user's confirmation that the purchase has been completed. The terminal displays this to the user, completing the purchase procedure.

[0424] This system allows users to receive real-time suggestions for optimal fashion coordination based on their emotional state, facilitating a smooth purchasing process.

[0425] 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.

[0426] 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.

[0427] 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.

[0428] [Second embodiment]

[0429] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0430] 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.

[0431] 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).

[0432] 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.

[0433] 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.

[0434] 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).

[0435] 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.

[0436] 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.

[0437] 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.

[0438] 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.

[0439] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0440] 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."

[0441] MODE FOR CARRYING OUT THE INVENTION

[0442] The system of the present invention enables users to efficiently select and purchase fashion coordinates. Below, the processing of the system program will be explained in natural language, with concrete examples.

[0443] 1. User information registration

[0444] The user logs into the system using a terminal. After logging in, an information registration screen is displayed, where the user enters their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm). The terminal generates a data packet to send this information to the server, and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[0445] Examples:

[0446] The user inputs "Brand A," "photoA.jpg," and "height 160cm, inseam 75cm." The device sends this information to the server, which stores it in a database.

[0447] 2. Coordination suggestions for everyday wear and events

[0448] The user uses their device to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. The server takes into account the user's preferences and body shape information and combines appropriate products from multiple brands to generate the outfit. The generated outfit and product images are sent to the device, which displays it to the user.

[0449] Examples:

[0450] The user inputs "entrance ceremony" and "under 10,000 yen" and sends a request to the server. The server suggests "a suit from brand A" and "a blouse from brand B" and sends them to the terminal along with product images. The terminal displays them to the user.

[0451] 3. Check and purchase the product

[0452] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user, completing the purchase procedure.

[0453] Examples:

[0454] The user selects a "suit from brand A" and a "blouse from brand B," and the terminal sends a purchase request to the server. The server checks the inventory and completes the purchase procedure. The terminal displays purchase confirmation information to the user.

[0455] This system allows users to efficiently find fashion coordination that suits their tastes and body type, and easily complete the purchasing process. In addition, by combining products from multiple brands, a wider range of suggestions is possible, improving user satisfaction.

[0456] The processing flow will be explained below.

[0457] Indeed, the specific processing flow will be explained in the following format.

[0458] 1. User information registration

[0459] Step 1:

[0460] A user logs in to the system at a terminal. A login screen is displayed and the user enters login information.

[0461] Step 2:

[0462] The terminal generates a data packet for transmitting the login information entered by the user to the server. The data packet includes the user ID and password.

[0463] Step 3:

[0464] The server analyzes the received data packet and performs authentication processing. If authentication is successful, it sends a login success message to the terminal.

[0465] Step 4:

[0466] After receiving the login success message, the terminal displays a user information registration screen, where the user inputs their favorite brand, an image of their favorite outfit, and their body shape information.

[0467] Step 5:

[0468] The terminal generates a data packet for transmitting the information input by the user to the server, and transmits the data packet to the server.

[0469] Step 6:

[0470] The server analyzes the received data packets and stores the user information in a database.

[0471] Step 7:

[0472] The server sends a save completion notification to the terminal.

[0473] Step 8:

[0474] The terminal receives the save completion notification and displays a save completion message to the user.

[0475] ---

[0476] 2. Coordination suggestions for everyday wear and events

[0477] Step 1:

[0478] The user opens a request screen for outfit suggestions on their device and enters the event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen).

[0479] Step 2:

[0480] The terminal generates a data packet for transmitting the input request data to the server, and transmits the data packet to the server.

[0481] Step 3:

[0482] The server analyzes the received request data and extracts the event and budget information specified by the user.

[0483] Step 4:

[0484] The server retrieves user information from a database and runs a coordinate generation algorithm.

[0485] Step 5:

[0486] The server considers the user's preferences, body type, event, and budget, selects products from multiple brands, and generates a coordination.

[0487] Step 6:

[0488] The server generates a data packet including the generated coordinates and product images and transmits it to the terminal.

[0489] Step 7:

[0490] The terminal analyzes the received data packet and displays the suggested coordination and product images to the user.

[0491] ---

[0492] 3. Check and purchase the product

[0493] Step 1:

[0494] The user selects the items they wish to purchase from the displayed coordination suggestions.

[0495] Step 2:

[0496] The terminal acquires information about the selected item, generates a purchase data packet, and transmits it to the server.

[0497] Step 3:

[0498] The server analyzes the received purchase data packet and checks the item's inventory.

[0499] Step 4:

[0500] If the server can confirm the availability, it executes the purchase procedure.

[0501] Step 5:

[0502] The server generates a data packet including a notification of completion of the purchase procedure and transmits it to the terminal.

[0503] Step 6:

[0504] The terminal receives the notification that the purchase procedure has been completed and displays purchase confirmation information to the user.

[0505] In this way, the system of the present invention can efficiently carry out the process from user information registration to coordination suggestions, product selection, and purchase procedures in an orderly manner.

[0506] Example 1

[0507] 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."

[0508] In conventional fashion coordination systems, it is difficult for users to receive efficient coordination suggestions based on their preferences and body shape information. Furthermore, there is a lack of appropriate product suggestions for specific events or budgets, resulting in low user satisfaction. Furthermore, it is difficult to suggest combinations of multiple brands, limiting options.

[0509] 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.

[0510] In this invention, the server includes: means for allowing a user to input a preferred brand, an image of the preferred clothing, and body shape data; means for transmitting the information input by the user to the server and storing it in an information storage device; means for allowing a user to input a specific event and budget and transmitting the information to the server; means for the server to acquire the user data from the information storage device, generate clothing suitable for the user based on the specific event and budget, and transmit the generated clothing to the information processing device; means for the server to display the clothing received by the information processing device to the user; means for transmitting product purchase information selected by the user to the server, which the server uses to check product inventory and complete the purchase process; and means for transmitting information indicating the completion of the purchase process to the information processing device and displaying the purchase confirmation information to the user. This allows users to receive efficient coordination suggestions based on their preferences and body shape, and to receive product suggestions appropriate for a specific event or budget. Furthermore, suggestions combining multiple brands expand options and improve user satisfaction.

[0511] - "User" refers to an individual who uses the System to select and purchase fashion outfits.

[0512] A "trademark" refers to the name of a brand or manufacturer, and is a name used to identify a specific product or service.

[0513] "Clothing" refers to fashion items such as clothes and accessories selected by the user.

[0514] "Body shape data" refers to physical information such as the user's height, weight, and inseam, and is data used to ensure an individual fit.

[0515] "Information storage device" refers to a database or storage device for saving data entered by a user.

[0516] A "specific event" refers to a specific event in which a user participates, such as an entrance ceremony or wedding.

[0517] "Budget" refers to the amount of money that a user can spend on fashion coordination.

[0518] "Information processing device" refers to a terminal such as a computer or smartphone used by a user.

[0519] "Product purchase information" refers to specific information about the fashion item that the user wishes to purchase.

[0520] "Product inventory" refers to the current inventory status of the product desired for purchase as confirmed by the server.

[0521] These definitions provide a concrete understanding of key terms contained in the claims.

[0522] The system of the present invention allows users to efficiently select and easily purchase fashion coordinates. A specific embodiment of this system will now be described.

[0523] First, the user logs into the system using their own device (for example, a computer or smartphone). When logging in, the user enters their ID and password, and the device sends this information to the server. The server compares the received information with an information storage device (database) and performs authentication. If authentication is successful, an information registration screen is displayed on the device.

[0524] The user enters the following information on the registration screen:

[0525] 1. Favorite Brands

[0526] 2. An image of your favorite outfit

[0527] 3. Body data (e.g. height 160cm, inseam 75cm)

[0528] Once the input is complete, the terminal converts the information into a data packet and sends it to the server. The server analyzes the received data and stores it in an information storage device. A message indicating that the data has been saved is displayed on the terminal.

[0529] Next, the user requests an outfit suggestion. They open the suggestion request screen on their device and enter the specific event (e.g., entrance ceremony) and budget (e.g., under 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the received request data and obtains user information from an information storage device. The server combines appropriate clothing from multiple brands, taking into account the specific event, budget, and the user's preferences and body shape data, to generate an outfit. The generated outfit and product images are sent to the device, which displays them to the user.

[0530] As a concrete example, consider the case where a user requests "entrance ceremony" and "under 10,000 yen." The server proposes "a suit with brand A" and "a blouse with brand B," and sends them to the terminal along with product images. The terminal displays them to the user.

[0531] When the user selects an item they wish to purchase from the displayed coordination suggestions, the terminal acquires information about the selected item and sends it to the server. The server checks the inventory of the received item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends information indicating that the purchase has been completed to the terminal, and the terminal displays purchase confirmation information to the user.

[0532] For example, a user selects a "suit with brand A" and a "blouse with brand B," and the terminal sends a purchase request to the server. In this case, the server checks the inventory and completes the purchase procedure. The terminal displays purchase confirmation information to the user.

[0533] Furthermore, this system is equipped with a generative AI model that suggests the best coordination for the user's request. Below is an example of a prompt sentence that can be input to the generative AI model:

[0534] "Please suggest a fashion outfit suitable for an entrance ceremony, costing less than 10,000 yen. The user's body information is height 160cm, inseam 75cm. The user's favorite trademark is Trademark A."

[0535] "Please suggest a casual outfit for the weekend for under 30,000 yen. The user's body measurements are height 170cm, waist 85cm."

[0536] This invention allows users to find efficient fashion coordination based on their preferences and body type, and easily complete the purchasing process. It also allows users to combine products from a wide range of brands, improving user satisfaction.

[0537] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0538] Step 1: User Login

[0539] (Input) The user enters the ID and password on the terminal.

[0540] (Processing) The terminal converts the entered login information into a data packet and sends it to the server.

[0541] (Data processing / calculation) The server compares the received login information with the information storage device (database) and performs authentication.

[0542] (Output) The server sends the authentication result to the terminal, and if the terminal is successfully authenticated, it displays the information registration screen.

[0543] Specifically, when the login button is pressed on the terminal, a request is sent to the server, and the authentication process begins in the information storage device. Based on the authentication result, the following screen is displayed.

[0544] Step 2: Register your information

[0545] (Input) The user inputs their preferred trademark, an image of their preferred clothing, and body shape data on the information registration screen.

[0546] (Processing) The terminal converts the input information into a data packet and sends it to the server.

[0547] (Data processing / calculation) The server analyzes the received data and stores it in the information storage device.

[0548] (Output) The server sends a message indicating that the save is complete to the terminal, and the terminal displays the message indicating that the save is complete to the user.

[0549] Specifically, when a user enters and submits information, the server analyzes and saves the data and notifies the device of the results.

[0550] Step 3: Coordination proposal request

[0551] (Input) The user inputs a specific event and budget on the coordination proposal request screen.

[0552] (Processing) The terminal creates request data and sends it to the server.

[0553] (Data processing / calculation) The server analyzes the received request data and acquires user information from the information storage device.

[0554] (Output) Based on the user information and request content acquired by the server, a coordination proposal is generated and sent to the terminal.

[0555] Specifically, when a user inputs a specific event and budget and submits a request, the server extracts the necessary information from the database and uses a generative AI model to suggest the optimal outfit.

[0556] Step 4: Viewing Proposals

[0557] (Input) Coordination suggestions and product images generated by the server.

[0558] (Processing) The terminal displays the coordination suggestions and product images received from the server.

[0559] (Data processing / calculation) The data generated by the server is sent to the terminal and converted into a format that can be displayed by the terminal.

[0560] (Output) Coordination suggestions and product images are displayed in a form that the user can visually confirm.

[0561] Specifically, suggestions and images are displayed on the device, allowing the user to make a selection based on them.

[0562] Step 5: Select your purchase

[0563] (Input) Selection information of the item the user wishes to purchase.

[0564] (Processing) The terminal obtains information about the selected item and sends it to the server.

[0565] (Data processing / calculation) The server analyzes the selection information received and checks product inventory.

[0566] (Output) The server sends the inventory check results and information about the purchase procedure to the terminal.

[0567] Specifically, when a user selects a product and submits a purchase request, the server checks the inventory and returns the results to the terminal.

[0568] Step 6: Complete your purchase

[0569] (Input) The server checks the stock and sends the purchase completion information.

[0570] (Processing) The terminal displays the purchase procedure completion information received from the server.

[0571] (Data processing / calculation) After the server checks the inventory, it executes the purchase procedure and sends the results to the terminal.

[0572] (Output) The user is notified that the purchase has been completed.

[0573] Specifically, purchase procedure completion information is displayed on the terminal to notify the user that the purchase has been completed.

[0574] (Application example 1)

[0575] 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."

[0576] Today's consumers want to efficiently select the perfect fashion outfit for a specific event or budget, while also wanting to reduce the time and effort required to visit a physical store. Furthermore, online shopping does not allow users to directly check the fit and appearance of the product, which can lead to lower post-purchase satisfaction. Given these circumstances, there is a need for a system that allows users to try on items in a virtual space and provides optimal outfits based on user information and preferences.

[0577] 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.

[0578] In this invention, the server includes means for storing user information and body shape information in a database, means for utilizing a generative AI model to generate outfits based on an event and a budget, and means for using virtual reality or augmented reality to try on items in a virtual space, thereby enabling consumers to efficiently select and purchase the fashion outfit that best suits them while trying on items in the virtual space.

[0579] "User information" is data including favorite brands, images of favorite outfits, and body shape information that a user inputs into the system.

[0580] A "server" is a computer system that receives information sent by a user, stores it in a database, and then generates and sends the optimal coordination to the user.

[0581] "Database" means a system for systematically storing and managing user information and other related data.

[0582] "Terminal" refers to a device that a user uses to enter information, receive outfit suggestions, and purchase items.

[0583] A "virtual space" is an environment in which users can visually experience digital content using virtual reality or augmented reality technology.

[0584] A "generative AI model" is an algorithm that uses artificial intelligence technology to generate optimal fashion coordination based on user information, events, and budget.

[0585] A "prompt" is an instruction entered into a generative AI model and contains the necessary information to generate a coordination suggestion.

[0586] The embodiment of the present invention is a system that enables a user to try on fashion items in a virtual space and efficiently select and purchase the fashion coordination that best suits them. The specific configuration and processing of the system will be described below.

[0587] First, the user puts on a device such as smart glasses or a head-mounted display and starts the application. A login screen appears and the user enters their account information. When logging in for the first time, they enter their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160 cm, inseam 75 cm). This information is sent from the device to the server, which then stores it in a database (e.g., PostgreSQL).

[0588] Next, the user inputs a specific event (e.g., a party) and budget (amount). The device analyzes this information, creates a prompt for a generative AI model (e.g., GPT-4) to generate fashion suggestions, and sends it to the server. An example of a specific prompt is as follows:

[0589] "To generate fashion suggestions, please suggest outfits based on the following information: The user's favorite brand is Brand A, their height is 160cm, and their inseam is 75cm. The event is a party, and their budget is within 10,000 yen."

[0590] The server uses a generative AI model to generate optimal outfit suggestions for the user based on the prompt text. At this time, the generated outfit information and product images (3D models) are sent to the device, allowing the user to visually check and try on the outfits in the virtual space.

[0591] If the user checks the outfits they have tried on and wishes to purchase them, they send the purchase information to the server. The server checks the product's inventory and carries out the purchase procedure. Once the purchase procedure is complete, confirmation information is sent to the terminal and displayed to the user.

[0592] The hardware used includes smart glasses (e.g., Nreal Light) and head-mounted displays (e.g., Oculus Quest 2), while the software used includes Unity (3D modeling and interaction creation), Python (implementation of generative AI models and backend processing), and TensorFlow (AI models).

[0593] For example, if a user logs in and enters their favorite brand as "Brand B," their event as "Wedding," and their budget as "15,000 yen," the generated prompt text will be as follows:

[0594] "To generate fashion suggestions, please suggest outfits based on the following information: The user's favorite brand is Brand B, their height is 160cm, and their inseam is 75cm. The event is a wedding, and their budget is within 15,000 yen."

[0595] By sending this prompt to an AI model, the optimal outfit tailored to the event and budget can be generated and displayed on the app.

[0596] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0597] Step 1:

[0598] The user puts on smart glasses or a head-mounted display and starts the application. The information entered is a login ID and password, which the device sends to the server. The server authenticates the user, and if login is successful, the device displays an input screen on the device asking for the user's favorite brand, outfit image, and body shape information (e.g., height 160 cm, inseam 75 cm) when they first log in. Once the user has entered this information, the device sends it to the server as a data packet. The server analyzes the data and stores it in a database.

[0599] Step 2:

[0600] The user inputs a specific event (e.g., a party) and their budget (amount). After this data is input, it is sent from the device to the server. The server analyzes this information and uses a generative AI model (e.g., GPT-4) to create a prompt that generates outfit suggestions. An example of a specific prompt is as follows: "To generate fashion suggestions, please suggest an outfit based on the following information. The user's favorite brand is Brand A, their height is 160 cm, and their inseam is 75 cm. The event is a party, and their budget is within 10,000 yen."

[0601] Step 3:

[0602] The server sends a prompt to the generative AI model, requesting it to generate the optimal outfit proposal for the user. The generative AI model performs data calculations based on user information, events, and budget, and generates the optimal outfit. The generated outfit information and product images (3D models) are sent from the server to the device, which displays them in a visually verifiable format within the virtual space.

[0603] Step 4:

[0604] The user tries on suggested outfits in a virtual space. They can check the look and fit of the items through their movements and inputs. Based on the results of the try-on, the user selects the items they wish to purchase. Information about the selected items is sent from the device to the server.

[0605] Step 5:

[0606] The server checks the inventory of the selected item information and begins the purchase procedure. As part of the necessary data processing, it checks the inventory database to determine whether the item is in stock. Based on the results, it proceeds with the purchase procedure and generates payment information. After the payment information is generated, the server sends purchase confirmation information to the terminal. The terminal displays the purchase confirmation information to the user, completing the purchase procedure.

[0607] Through the above processing steps, the user can try on items in the virtual space and efficiently select and purchase the fashion coordination that best suits them.

[0608] 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.

[0609] MODE FOR CARRYING OUT THE INVENTION

[0610] The system of the present invention provides a mechanism incorporating an emotion engine to enable users to efficiently select and purchase fashion coordinates. Below, the processing of the system's program will be explained in natural language, with concrete examples.

[0611] 1. User information registration

[0612] The user logs into the system using a terminal. After logging in, an information registration screen is displayed, where the user enters their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm). The terminal generates a data packet to send this information to the server, and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[0613] Examples:

[0614] The user inputs "Brand A," "photoA.jpg," and "height 160cm, inseam 75cm." The device sends this information to the server, which stores it in a database.

[0615] 2. Coordination suggestions for everyday wear and events

[0616] The user uses their device to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. The emotion engine also analyzes the user's facial expressions and tone of voice to determine the user's emotional state. The server selects appropriate products from multiple brands and generates an outfit, taking into account the user's preferences, body shape information, event, budget, and the analysis results of the emotion engine. The generated outfit and product images are sent to the device, which displays them to the user.

[0617] Examples:

[0618] The user inputs "entrance ceremony" and "under 10,000 yen" and sends a request to the server. The server suggests "a suit from brand A" and "a blouse from brand B," selects the color and style based on the emotion engine, and sends the results along with product images to the device. The device displays this to the user.

[0619] 3. Check and purchase the product

[0620] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user, completing the purchase procedure.

[0621] Examples:

[0622] The user selects a "suit from brand A" and a "blouse from brand B," and the terminal sends a purchase request to the server. The server checks the inventory and completes the purchase procedure. The terminal displays purchase confirmation information to the user.

[0623] Additional features: User emotion recognition

[0624] In the system of the present invention, the emotion engine analyzes the user's facial expressions and tone of voice in real time to determine their emotional state (e.g., joy, sadness, stress, etc.). This emotion data, along with the user's past selection history, is analyzed and used to suggest outfits that best match the user's current mood. For example, if the emotion engine determines that the user is relaxed, it will suggest a casual style outfit. On the other hand, if the user is nervous, it will suggest a formal style with muted colors.

[0625] Examples:

[0626] The emotion engine detects stress levels from the user's tone of voice and suggests a "relaxing dress suitable for an evening party" based on that state. The dress matches the user's favorite brand and is selected to suit their body type.

[0627] In this way, the system of the present invention can efficiently perform everything from user information registration to outfit suggestions, product selection, and purchase procedures. Furthermore, by incorporating an emotion engine, it is possible to suggest optimal outfits based on the user's emotional state, further improving user satisfaction.

[0628] The processing flow will be explained below.

[0629] MODE FOR CARRYING OUT THE INVENTION

[0630] 1. User information registration

[0631] Step 1:

[0632] A user logs in to the system at a terminal. A login screen is displayed and the user enters login information.

[0633] Step 2:

[0634] The terminal generates a data packet for transmitting the login information entered by the user to the server. The generated data packet includes the user ID and password.

[0635] Step 3:

[0636] The server analyzes the received data packet and performs authentication processing. If authentication is successful, it sends a login success message to the terminal.

[0637] Step 4:

[0638] After receiving the login success message, the terminal displays a user information registration screen, where the user inputs their favorite brand, an image of their favorite outfit, and their body shape information.

[0639] Step 5:

[0640] The terminal generates a data packet for transmitting the information input by the user to the server, and transmits the packet to the server via the network.

[0641] Step 6:

[0642] The server analyzes the received data packets and stores the user information in a database.

[0643] Step 7:

[0644] The server confirms that the user information has been saved normally, and sends a save completion notice to the terminal.

[0645] Step 8:

[0646] The terminal receives the save completion notification and displays a save completion message to the user.

[0647] 2. Coordination suggestions for everyday wear and events

[0648] Step 1:

[0649] The user opens a request screen for outfit suggestions on their device and inputs a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen).

[0650] Step 2:

[0651] The terminal generates a data packet for transmitting the input request data to the server, and transmits the data packet to the server.

[0652] Step 3:

[0653] The server analyzes the received request data and extracts the event and budget information specified by the user.

[0654] Step 4:

[0655] The server retrieves user information from the database and activates the emotion engine, which then analyzes the user's facial expressions, tone of voice, and other possible characteristics in real time to determine the user's current emotional state.

[0656] Step 5:

[0657] The server takes into account the user's preferences, body shape information, and the analysis results of the emotion engine, and executes an algorithm to generate outfits based on the event and budget.

[0658] Step 6:

[0659] The server selects and creates a coordinated outfit that suits the user from multiple brands, and retrieves product images related to the created coordinated outfit.

[0660] Step 7:

[0661] The server generates a data packet including the generated coordinates and product images and transmits it to the terminal.

[0662] Step 8:

[0663] The terminal analyzes the received data packet and displays the suggested coordination and product images to the user.

[0664] 3. Check and purchase the product

[0665] Step 1:

[0666] The user selects the items they wish to purchase from the displayed coordination suggestions.

[0667] Step 2:

[0668] The terminal acquires information about the selected item, generates a purchase data packet, and transmits it to the server.

[0669] Step 3:

[0670] The server analyzes the received purchase data packet and checks the item's inventory.

[0671] Step 4:

[0672] The server performs the checkout for in-stock items, processes the necessary payment information, and confirms the purchase.

[0673] Step 5:

[0674] The server generates a data packet including a notification of the completion of the purchase procedure and transmits it to the terminal.

[0675] Step 6:

[0676] The terminal receives notification that the purchase procedure has been completed and displays purchase confirmation information to the user.

[0677] In this way, the system of the present invention can efficiently and systematically carry out the entire process from user information registration to outfit suggestions, product selection, and purchase procedures. Furthermore, by incorporating an emotion engine, it is possible to suggest optimal outfits according to the user's emotional state, thereby improving user satisfaction.

[0678] Example 2

[0679] 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."

[0680] The present invention relates to a system that enables users to efficiently select and purchase fashion coordination. Conventional systems have difficulty proposing appropriate coordination based on a user's preferences, body shape information, specific events, and budget. Furthermore, coordination suggestions do not take into account the user's emotional state, and user satisfaction has not been improved. Therefore, there is a need for a system that analyzes a user's emotional state in real time and proposes optimal coordination based on that state.

[0681] 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.

[0682] In this invention, the server includes: means for prompting a user to input a favorite brand, an image of a favorite outfit, and body shape information; means for transmitting the information input by the user to the server and storing it in a database; means for prompting a user to input a specific event and budget and transmitting the information to the server; means for the server to retrieve the user information from the database, generate an outfit suitable for the user based on the specific event and budget, and transmit the generated outfit to the terminal; means for the terminal to display the outfit received by the user; means for analyzing the user's emotional state using an emotion analysis means and reflecting the analysis results in the outfit suggestion; means for transmitting purchase information for items selected by the user to the server, and the server confirming the availability of the items and completing the purchase procedure; and means for transmitting information indicating the completion of the purchase procedure to the terminal and displaying the purchase confirmation information to the user. This enables appropriate outfit suggestions based on the user's preferences, body shape, specific event, and budget, as well as outfit suggestions based on the user's real-time emotional state, thereby improving user satisfaction.

[0683] "User" refers to an individual who uses the system to suggest and purchase fashion coordination.

[0684] A "terminal" is a device used by a user to access the system, and includes a personal computer, a smartphone, etc.

[0685] A "server" is a computer that is the central part of a system and is responsible for receiving information from users, processing it, and storing it in a database.

[0686] "Database" refers to a data storage system that allows a server to systematically accumulate and manage user information and information necessary for coordination proposals.

[0687] "Emotion analysis means" refers to a technical means for analyzing a user's facial expression, tone of voice, etc., to determine the user's emotional state.

[0688] "Coordination" refers to suggestions for styles and clothing that combine fashion items.

[0689] An "event" refers to a specific occasion or gathering in which a user participates, and includes items that can be used as reference for coordination suggestions.

[0690] "Budget" refers to the upper limit of the amount of money a user can spend on coordination.

[0691] The "purchase procedure" refers to a series of operations and confirmation steps required for a user to confirm the purchase of an item selected by the user.

[0692] "Purchase confirmation information" is information indicating that the purchase procedure has been completed, and includes a confirmation message that is displayed to the user.

[0693] MODE FOR CARRYING OUT THE INVENTION

[0694] The system of the present invention incorporates a sentiment analysis means to enable users to efficiently select and purchase fashion coordinates. Specific embodiments of the system of the present invention will be described below.

[0695] Hardware Configuration

[0696] This system mainly uses the following hardware:

[0697] Server: Receives information from users, stores it in a database, generates coordination suggestions, and connects with emotion analysis tools.

[0698] Terminal: The device that a user uses as an interface, such as a computer, smartphone, or tablet.

[0699] Network: Infrastructure for communication between terminals and servers, primarily using the Internet.

[0700] Software Configuration

[0701] The system uses the following software:

[0702] Database Management System (DBMS): Stores and manages user information and coordination proposal information. Generally, MySQL, PostgreSQL, etc. are used.

[0703] Emotion analysis software: Analyzes a user's facial expressions and tone of voice to determine their emotional state in real time. It uses voice recognition and facial expression recognition technologies.

[0704] Web application: Provides a user interface and enables operations such as logging in, entering information, suggesting outfits, and completing purchases. This uses technologies such as HTML, CSS, and JavaScript.

[0705] Detailed system processing explanation

[0706] 1. User information registration

[0707] The user logs into the system using a terminal. After logging in, an information registration screen is displayed, where the user inputs their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm). The terminal converts this information into a data packet and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[0708] Example: A user inputs "Brand A", "photoA.jpg", and "height 160cm, inseam 75cm", and the device sends this information to the server, which stores it in a database.

[0709] 2. Coordination suggestions for everyday wear and events

[0710] The user uses the terminal to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The terminal creates request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. In addition, an emotion analysis means analyzes the user's facial expressions and tone of voice to determine the user's emotional state. The server selects appropriate products from multiple brands and generates an outfit, taking into account the user's preferences, body shape information, event, budget, and the analysis results of the emotion analysis means. The generated outfit and product images are sent to the terminal, which displays them to the user.

[0711] Example: A user inputs "entrance ceremony" and "under 10,000 yen" and sends a request to the server. The server suggests "a suit from brand A" and "a blouse from brand B," selects the color and style based on sentiment analysis, and sends the results along with product images to the device. The device displays the results to the user.

[0712] 3. Product selection and purchase procedure

[0713] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user.

[0714] Example: A user selects a "suit from brand A" and a "blouse from brand B," and the device sends a purchase request to the server. The server checks the inventory and completes the purchase process. The device displays purchase confirmation information to the user.

[0715] Prompt Sentence Examples

[0716] Here are some examples of specific prompts:

[0717] "Please suggest an outfit for the entrance ceremony that costs less than 10,000 yen."

[0718] "Please suggest a casual style that suits your mood today."

[0719] This system allows users to efficiently choose the right outfit for their preferences, body type, specific event, and budget, and receive optimal suggestions based on their real-time emotional state.It also allows for a smooth purchase process, increasing user satisfaction.

[0720] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0721] Program processing flow

[0722] Step 1: User login and registration

[0723] 1. User login

[0724] User: Enters login information (user ID and password) using a terminal.

[0725] Terminal: Takes the entered login information, converts it into a data packet, and sends it to the server.

[0726] Server: Receives login information and authenticates it by checking it against a database. After successful authentication, it sends a successful authentication message to the terminal.

[0727] Input: Login information (user ID, password)

[0728] Output: Authentication success message

[0729] 2. User Information Registration

[0730] User: Enter their favorite brand, an image of their favorite outfit, and their body shape information into the information registration screen.

[0731] Terminal: Converts input information into data packets and sends them to the server.

[0732] Server: Analyzes the received information and saves it in the database. After saving is complete, it sends a save completion message to the terminal.

[0733] Input: Favorite brand, favorite outfit image (e.g., photoA.jpg), body shape information (e.g., height 160cm, inseam 75cm)

[0734] Output: Save complete message

[0735] Specific operation: Enter "Brand A", "photoA.jpg", "height 160cm, inseam 75cm", and the device will send this information to the server, which will then store it in the database.

[0736] Step 2: Request a coordination proposal

[0737] 1. Enter your event and budget

[0738] User: Enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen).

[0739] Terminal: Creates the input request data and sends it to the server.

[0740] Input: Event (e.g., entrance ceremony), budget (e.g., within 10,000 yen)

[0741] Output: Request data

[0742] 2. Obtaining user information

[0743] Server: Retrieves user registration information from the database.

[0744] Input: Request data

[0745] Output: User information

[0746] 3. Emotion recognition

[0747] Emotion analysis means: Analyzes the user's facial expressions and tone of voice to determine their emotional state.

[0748] Input: Real-time user facial expressions and tone of voice

[0749] Output: Emotional state

[0750] 4. Coordinate Generation

[0751] Server: Selects appropriate products and generates outfits based on the user's preferences, body shape, event, budget, and emotional state.

[0752] Server: Sends the generated coordinates and product images to the device.

[0753] Input: User information, Events, Budget, Emotional state

[0754] Output: Coordination suggestions and product images

[0755] Specific operation: Enter "entrance ceremony" and "under 10,000 yen" and send a request to the server. The server will suggest "a suit from brand A" and "a blouse from brand B," select the color and style based on sentiment analysis, and send the results along with product images to the device. The device will then display this to the user.

[0756] Step 3: Product selection and checkout

[0757] 1. Product selection

[0758] User: Select the item they wish to purchase from the suggested outfits.

[0759] Terminal: Obtains the selected item information and sends it to the server.

[0760] Input: Selected item information

[0761] Output: Item information

[0762] 2. Check inventory

[0763] Server: Check the inventory of the sent item information.

[0764] Input: Item information

[0765] Output: Inventory information

[0766] 3. Purchase procedure

[0767] Server: After checking the stock, carry out the purchase procedure.

[0768] Server: Sends purchase confirmation information to the device.

[0769] Device: Display purchase confirmation information to the user.

[0770] Input: Inventory Information

[0771] Output: Purchase confirmation information

[0772] Specific operation: The user selects "Brand A suit" and "Brand B blouse," and the device sends a purchase request to the server. The server checks the inventory and completes the purchase process. The device displays purchase confirmation information to the user.

[0773] In this way, by clarifying the specific operations and inputs / outputs at each step of the system, it becomes possible to smoothly propose fashion coordination to users and carry out the purchasing process.

[0774] (Application example 2)

[0775] 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."

[0776] Conventional fashion coordination suggestion systems make suggestions without taking the user's emotional state into consideration, making it difficult to provide optimal coordination that matches the user's current mood and emotions. Furthermore, there is a lack of means for users to receive suggestions in real time at the store and smoothly complete the purchasing process. The present invention aims to solve these problems by suggesting optimal fashion coordination in real time that matches the user's emotional state and realizing a smooth purchasing process.

[0777] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for prompting the user to input a favorite brand, an image of a favorite outfit, and body shape information; means for transmitting the information input by the user to the server and storing it in a database; means for prompting the user to input a specific event and budget and transmitting it to the server; means for analyzing the user's facial expression and tone of voice using an emotion engine to determine the user's emotional state; means for the server to acquire the user information and emotional state from the database, generate an outfit suitable for the user based on the specific event and budget, and transmit it to the terminal; means for the terminal to display the outfit received to the user; means for transmitting purchase information for the item selected by the user to the server, and the server checking the inventory of the item and completing the purchase procedure; and means for transmitting information that the purchase procedure has been completed to the terminal and displaying the purchase confirmation information to the user. This allows the server to suggest optimal fashion outfits in real time according to the user's emotional state, enabling a smooth purchase procedure.

[0778] "User information" refers to personal data entered by the user, such as favorite brands, images of favorite outfits, and body shape information.

[0779] A "server" refers to a device that receives information input by a user, stores it in a database, and works with an emotion engine and database to generate and provide coordination.

[0780] "Database" refers to a storage device for storing and managing data including user information and emotion engine results.

[0781] An "emotion engine" refers to software or hardware that analyzes a user's facial expressions and tone of voice to determine their emotional state.

[0782] "Coordination" refers to a combination of fashions that is generated based on a specific event and budget, taking into account the user's preferences and body shape information.

[0783] "Terminal" refers to a device (e.g., smart glasses, smartphone, etc.) through which a user inputs information and receives outfit suggestions.

[0784] "Checkout" refers to the process of checking inventory and executing the purchase of user-selected items.

[0785] "Event" refers to a particular occasion or activity in which a user participates.

[0786] "Budget" refers to the amount of money the user plans to spend on coordination.

[0787] "Image" refers to visual data that indicates a user's preferred fashion style.

[0788] "Facial expression" refers to the user's facial movements and expressions.

[0789] "Tone of voice" refers to the pitch and intonation of the user's voice.

[0790] "Inventory" refers to the number of items available for sale.

[0791] "Purchase confirmation information" refers to a notification indicating that the purchase procedure has been completed.

[0792] The system of the present invention provides a mechanism incorporating an emotion engine to enable users to efficiently select and purchase fashion coordination. This system is composed of the following steps.

[0793] 1. User information registration

[0794] Users log in to the system using a terminal (such as smart glasses or a smartphone). After logging in, an information registration screen is displayed, and the user enters their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160 cm, inseam 75 cm). The terminal generates a data packet to send this information to the server, and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[0795] 2. Coordination suggestions

[0796] The user uses their device to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. The emotion engine also analyzes the user's facial expressions and tone of voice to determine the user's emotional state. The server selects appropriate products from multiple brands and generates an outfit, taking into account the user's preferences, body shape information, event, budget, and the analysis results of the emotion engine. The generated outfit and product images are sent to the device, which displays them to the user.

[0797] 3. Check and purchase the product

[0798] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user, completing the purchase procedure.

[0799] This system is implemented using the following hardware and software. The devices used by users include smart glasses, smartphones, and head-mounted displays. The system also uses the Emotion_Recognition library and Voice_Recognition library as its emotion engine, which allows it to analyze the user's facial expressions and tone of voice in real time to determine their emotional state. It also uses a general database management system (DBMS) for database management, and the requests library for communication to exchange HTTP requests.

[0800] Examples:

[0801] The user enters "Brand A," "photoA.jpg," and "height 160cm, inseam 75cm." The terminal sends this information to the server, which saves it in a database. Next, the user enters "entrance ceremony" and "under 10,000 yen" and sends a request to the server. Based on this, the server suggests "a suit from Brand A" and "a blouse from Brand B," and selects the color and style based on the emotion engine. The suggested product images are sent to the terminal, which the user confirms. The user selects "a suit from Brand A" and "a blouse from Brand B," and the terminal sends a purchase request to the server, which checks the inventory and completes the purchase process. The terminal displays purchase confirmation information to the user.

[0802] Example prompt sentence:

[0803] "What outfit would best suit my current mood? The event is a casual party. My budget is under 5,000 yen."

[0804] In this way, the system can suggest optimal fashion coordination in real time according to the user's emotional state, enabling a smooth purchasing process and improving user satisfaction.

[0805] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0806] Step 1:

[0807] A user logs in to the system using a terminal. At this time, the input information is the user's authentication information (user ID, password), and the output is a message indicating whether authentication was successful or failed. The terminal sends the input authentication information to the server, which then collates it with a database and returns the authentication result to the terminal.

[0808] Step 2:

[0809] The user inputs their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm) into the device. This input information is personal data, and is processed into a data packet that the server stores in a database. The output is a message indicating that the data has been saved. The device generates a data packet and sends it to the server, and the server returns a message to the device after saving the data to the database.

[0810] Step 3:

[0811] The user inputs a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen) into the terminal. The input information is the event name and budget amount, and the server generates a coordination proposal based on this. The output is a confirmation message after the request is sent to the server. The terminal generates the request data and sends it to the server.

[0812] Step 4:

[0813] The server analyzes the request data and retrieves user information from the database. At the same time, it uses an emotion engine to analyze the user's facial expressions and tone of voice to determine their emotional state. The input information is the request data and the user's real-time visual and audio data, and the output is the analysis results. The server retrieves the emotional state from the emotion engine based on these analysis results.

[0814] Step 5:

[0815] The server selects appropriate products from multiple brands and generates an outfit, taking into consideration the user's preferences, body shape information, event, budget, and the analysis results of the emotion engine. The input information is the user's information and emotional state obtained from the database, and the output is the generated outfit data. The server sends the generated outfit and product images to the terminal.

[0816] Step 6:

[0817] The terminal displays the received coordinates to the user. The input information is the coordinate data and product images sent from the server, and the output is the user's visual confirmation. The terminal displays this data to the user and provides an interface for the user to select items.

[0818] Step 7:

[0819] When the user selects an item they wish to purchase, the terminal sends information about the selected item to the server. The input information is the ID of the item selected by the user, and the output is a message confirming the purchase. The server receives the sent item information and checks the inventory.

[0820] Step 8:

[0821] The server checks the item's inventory and executes the purchase procedure. The input information is the item's inventory data and the information required for the purchase procedure, and the output is a message indicating the completion of the purchase procedure. Once the purchase procedure is completed, the server sends a purchase confirmation to the terminal.

[0822] Step 9:

[0823] The terminal displays the purchase confirmation information to the user. The input information is the purchase confirmation data sent from the server, and the output is the user's confirmation that the purchase has been completed. The terminal displays this to the user, completing the purchase procedure.

[0824] This system allows users to receive real-time suggestions for optimal fashion coordination based on their emotional state, facilitating a smooth purchasing process.

[0825] 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.

[0826] 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.

[0827] 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.

[0828] [Third embodiment]

[0829] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0830] 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.

[0831] 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).

[0832] 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.

[0833] 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.

[0834] 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).

[0835] 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.

[0836] 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.

[0837] 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.

[0838] 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.

[0839] 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.

[0840] 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."

[0841] MODE FOR CARRYING OUT THE INVENTION

[0842] The system of the present invention enables users to efficiently select and purchase fashion coordinates. Below, the processing of the system program will be explained in natural language, with concrete examples.

[0843] 1. User information registration

[0844] The user logs into the system using a terminal. After logging in, an information registration screen is displayed, where the user enters their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm). The terminal generates a data packet to send this information to the server, and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[0845] Examples:

[0846] The user inputs "Brand A," "photoA.jpg," and "height 160cm, inseam 75cm." The device sends this information to the server, which stores it in a database.

[0847] 2. Coordination suggestions for everyday wear and events

[0848] The user uses their device to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. The server takes into account the user's preferences and body shape information and combines appropriate products from multiple brands to generate the outfit. The generated outfit and product images are sent to the device, which displays it to the user.

[0849] Examples:

[0850] The user inputs "entrance ceremony" and "under 10,000 yen" and sends a request to the server. The server suggests "a suit from brand A" and "a blouse from brand B" and sends them to the terminal along with product images. The terminal displays them to the user.

[0851] 3. Check and purchase the product

[0852] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user, completing the purchase procedure.

[0853] Examples:

[0854] The user selects a "suit from brand A" and a "blouse from brand B," and the terminal sends a purchase request to the server. The server checks the inventory and completes the purchase procedure. The terminal displays purchase confirmation information to the user.

[0855] This system allows users to efficiently find fashion coordination that suits their tastes and body type, and easily complete the purchasing process. In addition, by combining products from multiple brands, a wider range of suggestions is possible, improving user satisfaction.

[0856] The processing flow will be explained below.

[0857] Indeed, the specific processing flow will be explained in the following format.

[0858] 1. User information registration

[0859] Step 1:

[0860] A user logs in to the system at a terminal. A login screen is displayed and the user enters login information.

[0861] Step 2:

[0862] The terminal generates a data packet for transmitting the login information entered by the user to the server. The data packet includes the user ID and password.

[0863] Step 3:

[0864] The server analyzes the received data packet and performs authentication processing. If authentication is successful, it sends a login success message to the terminal.

[0865] Step 4:

[0866] After receiving the login success message, the terminal displays a user information registration screen, where the user inputs their favorite brand, an image of their favorite outfit, and their body shape information.

[0867] Step 5:

[0868] The terminal generates a data packet for transmitting the information input by the user to the server, and transmits the data packet to the server.

[0869] Step 6:

[0870] The server analyzes the received data packets and stores the user information in a database.

[0871] Step 7:

[0872] The server sends a save completion notification to the terminal.

[0873] Step 8:

[0874] The terminal receives the save completion notification and displays a save completion message to the user.

[0875] ---

[0876] 2. Coordination suggestions for everyday wear and events

[0877] Step 1:

[0878] The user opens a request screen for outfit suggestions on their device and enters the event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen).

[0879] Step 2:

[0880] The terminal generates a data packet for transmitting the input request data to the server, and transmits the data packet to the server.

[0881] Step 3:

[0882] The server analyzes the received request data and extracts the event and budget information specified by the user.

[0883] Step 4:

[0884] The server retrieves user information from a database and runs a coordinate generation algorithm.

[0885] Step 5:

[0886] The server considers the user's preferences, body type, event, and budget, selects products from multiple brands, and generates a coordination.

[0887] Step 6:

[0888] The server generates a data packet including the generated coordinates and product images and transmits it to the terminal.

[0889] Step 7:

[0890] The terminal analyzes the received data packet and displays the suggested coordination and product images to the user.

[0891] ---

[0892] 3. Check and purchase the product

[0893] Step 1:

[0894] The user selects the items they wish to purchase from the displayed coordination suggestions.

[0895] Step 2:

[0896] The terminal acquires information about the selected item, generates a purchase data packet, and transmits it to the server.

[0897] Step 3:

[0898] The server analyzes the received purchase data packet and checks the item's inventory.

[0899] Step 4:

[0900] If the server can confirm the availability, it executes the purchase procedure.

[0901] Step 5:

[0902] The server generates a data packet including a notification of completion of the purchase procedure and transmits it to the terminal.

[0903] Step 6:

[0904] The terminal receives the notification that the purchase procedure has been completed and displays purchase confirmation information to the user.

[0905] In this way, the system of the present invention can efficiently carry out the process from user information registration to coordination suggestions, product selection, and purchase procedures in an orderly manner.

[0906] Example 1

[0907] 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."

[0908] In conventional fashion coordination systems, it is difficult for users to receive efficient coordination suggestions based on their preferences and body shape information. Furthermore, there is a lack of appropriate product suggestions for specific events or budgets, resulting in low user satisfaction. Furthermore, it is difficult to suggest combinations of multiple brands, limiting options.

[0909] 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.

[0910] In this invention, the server includes: means for allowing a user to input a preferred brand, an image of the preferred clothing, and body shape data; means for transmitting the information input by the user to the server and storing it in an information storage device; means for allowing a user to input a specific event and budget and transmitting the information to the server; means for the server to acquire the user data from the information storage device, generate clothing suitable for the user based on the specific event and budget, and transmit the generated clothing to the information processing device; means for the server to display the clothing received by the information processing device to the user; means for transmitting product purchase information selected by the user to the server, which the server uses to check product inventory and complete the purchase process; and means for transmitting information indicating the completion of the purchase process to the information processing device and displaying the purchase confirmation information to the user. This allows users to receive efficient coordination suggestions based on their preferences and body shape, and to receive product suggestions appropriate for a specific event or budget. Furthermore, suggestions combining multiple brands expand options and improve user satisfaction.

[0911] - "User" refers to an individual who uses the System to select and purchase fashion outfits.

[0912] A "trademark" refers to the name of a brand or manufacturer, and is a name used to identify a specific product or service.

[0913] "Clothing" refers to fashion items such as clothes and accessories selected by the user.

[0914] "Body shape data" refers to physical information such as the user's height, weight, and inseam, and is data used to ensure an individual fit.

[0915] "Information storage device" refers to a database or storage device for saving data entered by a user.

[0916] A "specific event" refers to a specific event in which a user participates, such as an entrance ceremony or wedding.

[0917] "Budget" refers to the amount of money that a user can spend on fashion coordination.

[0918] "Information processing device" refers to a terminal such as a computer or smartphone used by a user.

[0919] "Product purchase information" refers to specific information about the fashion item that the user wishes to purchase.

[0920] "Product inventory" refers to the current inventory status of the product desired for purchase as confirmed by the server.

[0921] These definitions provide a concrete understanding of key terms contained in the claims.

[0922] The system of the present invention allows users to efficiently select and easily purchase fashion coordinates. A specific embodiment of this system will now be described.

[0923] First, the user logs into the system using their own device (for example, a computer or smartphone). When logging in, the user enters their ID and password, and the device sends this information to the server. The server compares the received information with an information storage device (database) and performs authentication. If authentication is successful, an information registration screen is displayed on the device.

[0924] The user enters the following information on the registration screen:

[0925] 1. Favorite Brands

[0926] 2. An image of your favorite outfit

[0927] 3. Body data (e.g. height 160cm, inseam 75cm)

[0928] Once the input is complete, the terminal converts the information into a data packet and sends it to the server. The server analyzes the received data and stores it in an information storage device. A message indicating that the data has been saved is displayed on the terminal.

[0929] Next, the user requests an outfit suggestion. They open the suggestion request screen on their device and enter the specific event (e.g., entrance ceremony) and budget (e.g., under 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the received request data and obtains user information from an information storage device. The server combines appropriate clothing from multiple brands, taking into account the specific event, budget, and the user's preferences and body shape data, to generate an outfit. The generated outfit and product images are sent to the device, which displays them to the user.

[0930] As a concrete example, consider the case where a user requests "entrance ceremony" and "under 10,000 yen." The server proposes "a suit with brand A" and "a blouse with brand B," and sends them to the terminal along with product images. The terminal displays them to the user.

[0931] When the user selects an item they wish to purchase from the displayed coordination suggestions, the terminal acquires information about the selected item and sends it to the server. The server checks the inventory of the received item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends information indicating that the purchase has been completed to the terminal, and the terminal displays purchase confirmation information to the user.

[0932] For example, a user selects a "suit with brand A" and a "blouse with brand B," and the terminal sends a purchase request to the server. In this case, the server checks the inventory and completes the purchase procedure. The terminal displays purchase confirmation information to the user.

[0933] Furthermore, this system is equipped with a generative AI model that suggests the best coordination for the user's request. Below is an example of a prompt sentence that can be input to the generative AI model:

[0934] "Please suggest a fashion outfit suitable for an entrance ceremony, costing less than 10,000 yen. The user's body information is height 160cm, inseam 75cm. The user's favorite trademark is Trademark A."

[0935] "Please suggest a casual outfit for the weekend for under 30,000 yen. The user's body measurements are height 170cm, waist 85cm."

[0936] This invention allows users to find efficient fashion coordination based on their preferences and body type, and easily complete the purchasing process. It also allows users to combine products from a wide range of brands, improving user satisfaction.

[0937] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0938] Step 1: User Login

[0939] (Input) The user enters the ID and password on the terminal.

[0940] (Processing) The terminal converts the entered login information into a data packet and sends it to the server.

[0941] (Data processing / calculation) The server compares the received login information with the information storage device (database) and performs authentication.

[0942] (Output) The server sends the authentication result to the terminal, and if the terminal is successfully authenticated, it displays the information registration screen.

[0943] Specifically, when the login button is pressed on the terminal, a request is sent to the server, and the authentication process begins in the information storage device. Based on the authentication result, the following screen is displayed.

[0944] Step 2: Register your information

[0945] (Input) The user inputs their preferred trademark, an image of their preferred clothing, and body shape data on the information registration screen.

[0946] (Processing) The terminal converts the input information into a data packet and sends it to the server.

[0947] (Data processing / calculation) The server analyzes the received data and stores it in the information storage device.

[0948] (Output) The server sends a message indicating that the save is complete to the terminal, and the terminal displays the message indicating that the save is complete to the user.

[0949] Specifically, when a user enters and submits information, the server analyzes and saves the data and notifies the device of the results.

[0950] Step 3: Coordination proposal request

[0951] (Input) The user inputs a specific event and budget on the coordination proposal request screen.

[0952] (Processing) The terminal creates request data and sends it to the server.

[0953] (Data processing / calculation) The server analyzes the received request data and acquires user information from the information storage device.

[0954] (Output) Based on the user information and request content acquired by the server, a coordination proposal is generated and sent to the terminal.

[0955] Specifically, when a user inputs a specific event and budget and submits a request, the server extracts the necessary information from the database and uses a generative AI model to suggest the optimal outfit.

[0956] Step 4: Viewing Proposals

[0957] (Input) Coordination suggestions and product images generated by the server.

[0958] (Processing) The terminal displays the coordination suggestions and product images received from the server.

[0959] (Data processing / calculation) The data generated by the server is sent to the terminal and converted into a format that can be displayed by the terminal.

[0960] (Output) Coordination suggestions and product images are displayed in a form that the user can visually confirm.

[0961] Specifically, suggestions and images are displayed on the device, allowing the user to make a selection based on them.

[0962] Step 5: Select your purchase

[0963] (Input) Selection information of the item the user wishes to purchase.

[0964] (Processing) The terminal obtains information about the selected item and sends it to the server.

[0965] (Data processing / calculation) The server analyzes the selection information received and checks product inventory.

[0966] (Output) The server sends the inventory check results and information about the purchase procedure to the terminal.

[0967] Specifically, when a user selects a product and submits a purchase request, the server checks the inventory and returns the results to the terminal.

[0968] Step 6: Complete your purchase

[0969] (Input) The server checks the stock and sends the purchase completion information.

[0970] (Processing) The terminal displays the purchase procedure completion information received from the server.

[0971] (Data processing / calculation) After the server checks the inventory, it executes the purchase procedure and sends the results to the terminal.

[0972] (Output) The user is notified that the purchase has been completed.

[0973] Specifically, purchase procedure completion information is displayed on the terminal to notify the user that the purchase has been completed.

[0974] (Application example 1)

[0975] 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."

[0976] Today's consumers want to efficiently select the perfect fashion outfit for a specific event or budget, while also wanting to reduce the time and effort required to visit a physical store. Furthermore, online shopping does not allow users to directly check the fit and appearance of the product, which can lead to lower post-purchase satisfaction. Given these circumstances, there is a need for a system that allows users to try on items in a virtual space and provides optimal outfits based on user information and preferences.

[0977] 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.

[0978] In this invention, the server includes means for storing user information and body shape information in a database, means for utilizing a generative AI model to generate outfits based on an event and a budget, and means for using virtual reality or augmented reality to try on items in a virtual space, thereby enabling consumers to efficiently select and purchase the fashion outfit that best suits them while trying on items in the virtual space.

[0979] "User information" is data including favorite brands, images of favorite outfits, and body shape information that a user inputs into the system.

[0980] A "server" is a computer system that receives information sent by a user, stores it in a database, and then generates and sends the optimal coordination to the user.

[0981] "Database" means a system for systematically storing and managing user information and other related data.

[0982] "Terminal" refers to a device that a user uses to enter information, receive outfit suggestions, and purchase items.

[0983] A "virtual space" is an environment in which users can visually experience digital content using virtual reality or augmented reality technology.

[0984] A "generative AI model" is an algorithm that uses artificial intelligence technology to generate optimal fashion coordination based on user information, events, and budget.

[0985] A "prompt" is an instruction entered into a generative AI model and contains the necessary information to generate a coordination suggestion.

[0986] The embodiment of the present invention is a system that enables a user to try on fashion items in a virtual space and efficiently select and purchase the fashion coordination that best suits them. The specific configuration and processing of the system will be described below.

[0987] First, the user puts on a device such as smart glasses or a head-mounted display and starts the application. A login screen appears and the user enters their account information. When logging in for the first time, they enter their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160 cm, inseam 75 cm). This information is sent from the device to the server, which then stores it in a database (e.g., PostgreSQL).

[0988] Next, the user inputs a specific event (e.g., a party) and budget (amount). The device analyzes this information, creates a prompt for a generative AI model (e.g., GPT-4) to generate fashion suggestions, and sends it to the server. An example of a specific prompt is as follows:

[0989] "To generate fashion suggestions, please suggest outfits based on the following information: The user's favorite brand is Brand A, their height is 160cm, and their inseam is 75cm. The event is a party, and their budget is within 10,000 yen."

[0990] The server uses a generative AI model to generate optimal outfit suggestions for the user based on the prompt text. At this time, the generated outfit information and product images (3D models) are sent to the device, allowing the user to visually check and try on the outfits in the virtual space.

[0991] If the user checks the outfits they have tried on and wishes to purchase them, they send the purchase information to the server. The server checks the product's inventory and carries out the purchase procedure. Once the purchase procedure is complete, confirmation information is sent to the terminal and displayed to the user.

[0992] The hardware used includes smart glasses (e.g., Nreal Light) and head-mounted displays (e.g., Oculus Quest 2), while the software used includes Unity (3D modeling and interaction creation), Python (implementation of generative AI models and backend processing), and TensorFlow (AI models).

[0993] For example, if a user logs in and enters their favorite brand as "Brand B," their event as "Wedding," and their budget as "15,000 yen," the generated prompt text will be as follows:

[0994] "To generate fashion suggestions, please suggest outfits based on the following information: The user's favorite brand is Brand B, their height is 160cm, and their inseam is 75cm. The event is a wedding, and their budget is within 15,000 yen."

[0995] By sending this prompt to an AI model, the optimal outfit tailored to the event and budget can be generated and displayed on the app.

[0996] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0997] Step 1:

[0998] The user puts on smart glasses or a head-mounted display and starts the application. The information entered is a login ID and password, which the device sends to the server. The server authenticates the user, and if login is successful, the device displays an input screen on the device asking for the user's favorite brand, outfit image, and body shape information (e.g., height 160 cm, inseam 75 cm) when they first log in. Once the user has entered this information, the device sends it to the server as a data packet. The server analyzes the data and stores it in a database.

[0999] Step 2:

[1000] The user inputs a specific event (e.g., a party) and their budget (amount). After this data is input, it is sent from the device to the server. The server analyzes this information and uses a generative AI model (e.g., GPT-4) to create a prompt that generates outfit suggestions. An example of a specific prompt is as follows: "To generate fashion suggestions, please suggest an outfit based on the following information. The user's favorite brand is Brand A, their height is 160 cm, and their inseam is 75 cm. The event is a party, and their budget is within 10,000 yen."

[1001] Step 3:

[1002] The server sends a prompt to the generative AI model, requesting it to generate the optimal outfit proposal for the user. The generative AI model performs data calculations based on user information, events, and budget, and generates the optimal outfit. The generated outfit information and product images (3D models) are sent from the server to the device, which displays them in a visually verifiable format within the virtual space.

[1003] Step 4:

[1004] The user tries on suggested outfits in a virtual space. They can check the look and fit of the items through their movements and inputs. Based on the results of the try-on, the user selects the items they wish to purchase. Information about the selected items is sent from the device to the server.

[1005] Step 5:

[1006] The server checks the inventory of the selected item information and begins the purchase procedure. As part of the necessary data processing, it checks the inventory database to determine whether the item is in stock. Based on the results, it proceeds with the purchase procedure and generates payment information. After the payment information is generated, the server sends purchase confirmation information to the terminal. The terminal displays the purchase confirmation information to the user, completing the purchase procedure.

[1007] Through the above processing steps, the user can try on items in the virtual space and efficiently select and purchase the fashion coordination that best suits them.

[1008] 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.

[1009] MODE FOR CARRYING OUT THE INVENTION

[1010] The system of the present invention provides a mechanism incorporating an emotion engine to enable users to efficiently select and purchase fashion coordinates. Below, the processing of the system's program will be explained in natural language, with concrete examples.

[1011] 1. User information registration

[1012] The user logs into the system using a terminal. After logging in, an information registration screen is displayed, where the user enters their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm). The terminal generates a data packet to send this information to the server, and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[1013] Examples:

[1014] The user inputs "Brand A," "photoA.jpg," and "height 160cm, inseam 75cm." The device sends this information to the server, which stores it in a database.

[1015] 2. Coordination suggestions for everyday wear and events

[1016] The user uses their device to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. The emotion engine also analyzes the user's facial expressions and tone of voice to determine the user's emotional state. The server selects appropriate products from multiple brands and generates an outfit, taking into account the user's preferences, body shape information, event, budget, and the analysis results of the emotion engine. The generated outfit and product images are sent to the device, which displays them to the user.

[1017] Examples:

[1018] The user inputs "entrance ceremony" and "under 10,000 yen" and sends a request to the server. The server suggests "a suit from brand A" and "a blouse from brand B," selects the color and style based on the emotion engine, and sends the results along with product images to the device. The device displays this to the user.

[1019] 3. Check and purchase the product

[1020] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user, completing the purchase procedure.

[1021] Examples:

[1022] The user selects a "suit from brand A" and a "blouse from brand B," and the terminal sends a purchase request to the server. The server checks the inventory and completes the purchase procedure. The terminal displays purchase confirmation information to the user.

[1023] Additional features: User emotion recognition

[1024] In the system of the present invention, the emotion engine analyzes the user's facial expressions and tone of voice in real time to determine their emotional state (e.g., joy, sadness, stress, etc.). This emotion data, along with the user's past selection history, is analyzed and used to suggest outfits that best match the user's current mood. For example, if the emotion engine determines that the user is relaxed, it will suggest a casual style outfit. On the other hand, if the user is nervous, it will suggest a formal style with muted colors.

[1025] Examples:

[1026] The emotion engine detects stress levels from the user's tone of voice and suggests a "relaxing dress suitable for an evening party" based on that state. The dress matches the user's favorite brand and is selected to suit their body type.

[1027] In this way, the system of the present invention can efficiently perform everything from user information registration to outfit suggestions, product selection, and purchase procedures. Furthermore, by incorporating an emotion engine, it is possible to suggest optimal outfits based on the user's emotional state, further improving user satisfaction.

[1028] The processing flow will be explained below.

[1029] MODE FOR CARRYING OUT THE INVENTION

[1030] 1. User information registration

[1031] Step 1:

[1032] A user logs in to the system at a terminal. A login screen is displayed and the user enters login information.

[1033] Step 2:

[1034] The terminal generates a data packet for transmitting the login information entered by the user to the server. The generated data packet includes the user ID and password.

[1035] Step 3:

[1036] The server analyzes the received data packet and performs authentication processing. If authentication is successful, it sends a login success message to the terminal.

[1037] Step 4:

[1038] After receiving the login success message, the terminal displays a user information registration screen, where the user inputs their favorite brand, an image of their favorite outfit, and their body shape information.

[1039] Step 5:

[1040] The terminal generates a data packet for transmitting the information input by the user to the server, and transmits the packet to the server via the network.

[1041] Step 6:

[1042] The server analyzes the received data packets and stores the user information in a database.

[1043] Step 7:

[1044] The server confirms that the user information has been saved normally, and sends a save completion notice to the terminal.

[1045] Step 8:

[1046] The terminal receives the save completion notification and displays a save completion message to the user.

[1047] 2. Coordination suggestions for everyday wear and events

[1048] Step 1:

[1049] The user opens a request screen for outfit suggestions on their device and inputs a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen).

[1050] Step 2:

[1051] The terminal generates a data packet for transmitting the input request data to the server, and transmits the data packet to the server.

[1052] Step 3:

[1053] The server analyzes the received request data and extracts the event and budget information specified by the user.

[1054] Step 4:

[1055] The server retrieves user information from the database and activates the emotion engine, which then analyzes the user's facial expressions, tone of voice, and other possible characteristics in real time to determine the user's current emotional state.

[1056] Step 5:

[1057] The server takes into account the user's preferences, body shape information, and the analysis results of the emotion engine, and executes an algorithm to generate outfits based on the event and budget.

[1058] Step 6:

[1059] The server selects and creates a coordinated outfit that suits the user from multiple brands, and retrieves product images related to the created coordinated outfit.

[1060] Step 7:

[1061] The server generates a data packet including the generated coordinates and product images and transmits it to the terminal.

[1062] Step 8:

[1063] The terminal analyzes the received data packet and displays the suggested coordination and product images to the user.

[1064] 3. Check and purchase the product

[1065] Step 1:

[1066] The user selects the items they wish to purchase from the displayed coordination suggestions.

[1067] Step 2:

[1068] The terminal acquires information about the selected item, generates a purchase data packet, and transmits it to the server.

[1069] Step 3:

[1070] The server analyzes the received purchase data packet and checks the item's inventory.

[1071] Step 4:

[1072] The server performs the checkout for in-stock items, processes the necessary payment information, and confirms the purchase.

[1073] Step 5:

[1074] The server generates a data packet including a notification of the completion of the purchase procedure and transmits it to the terminal.

[1075] Step 6:

[1076] The terminal receives notification that the purchase procedure has been completed and displays purchase confirmation information to the user.

[1077] In this way, the system of the present invention can efficiently and systematically carry out the entire process from user information registration to outfit suggestions, product selection, and purchase procedures. Furthermore, by incorporating an emotion engine, it is possible to suggest optimal outfits according to the user's emotional state, thereby improving user satisfaction.

[1078] Example 2

[1079] 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."

[1080] The present invention relates to a system that enables users to efficiently select and purchase fashion coordination. Conventional systems have difficulty proposing appropriate coordination based on a user's preferences, body shape information, specific events, and budget. Furthermore, coordination suggestions do not take into account the user's emotional state, and user satisfaction has not been improved. Therefore, there is a need for a system that analyzes a user's emotional state in real time and proposes optimal coordination based on that state.

[1081] 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.

[1082] In this invention, the server includes: means for prompting a user to input a favorite brand, an image of a favorite outfit, and body shape information; means for transmitting the information input by the user to the server and storing it in a database; means for prompting a user to input a specific event and budget and transmitting the information to the server; means for the server to retrieve the user information from the database, generate an outfit suitable for the user based on the specific event and budget, and transmit the generated outfit to the terminal; means for the terminal to display the outfit received by the user; means for analyzing the user's emotional state using an emotion analysis means and reflecting the analysis results in the outfit suggestion; means for transmitting purchase information for items selected by the user to the server, and the server confirming the availability of the items and completing the purchase procedure; and means for transmitting information indicating the completion of the purchase procedure to the terminal and displaying the purchase confirmation information to the user. This enables appropriate outfit suggestions based on the user's preferences, body shape, specific event, and budget, as well as outfit suggestions based on the user's real-time emotional state, thereby improving user satisfaction.

[1083] "User" refers to an individual who uses the system to suggest and purchase fashion coordination.

[1084] A "terminal" is a device used by a user to access the system, and includes a personal computer, a smartphone, etc.

[1085] A "server" is a computer that is the central part of a system and is responsible for receiving information from users, processing it, and storing it in a database.

[1086] "Database" refers to a data storage system that allows a server to systematically accumulate and manage user information and information necessary for coordination proposals.

[1087] "Emotion analysis means" refers to a technical means for analyzing a user's facial expression, tone of voice, etc., to determine the user's emotional state.

[1088] "Coordination" refers to suggestions for styles and clothing that combine fashion items.

[1089] An "event" refers to a specific occasion or gathering in which a user participates, and includes items that can be used as reference for coordination suggestions.

[1090] "Budget" refers to the upper limit of the amount of money a user can spend on coordination.

[1091] The "purchase procedure" refers to a series of operations and confirmation steps required for a user to confirm the purchase of an item selected by the user.

[1092] "Purchase confirmation information" is information indicating that the purchase procedure has been completed, and includes a confirmation message that is displayed to the user.

[1093] MODE FOR CARRYING OUT THE INVENTION

[1094] The system of the present invention incorporates a sentiment analysis means to enable users to efficiently select and purchase fashion coordinates. Specific embodiments of the system of the present invention will be described below.

[1095] Hardware Configuration

[1096] This system mainly uses the following hardware:

[1097] Server: Receives information from users, stores it in a database, generates coordination suggestions, and connects with emotion analysis tools.

[1098] Terminal: The device that a user uses as an interface, such as a computer, smartphone, or tablet.

[1099] Network: Infrastructure for communication between terminals and servers, primarily using the Internet.

[1100] Software Configuration

[1101] The system uses the following software:

[1102] Database Management System (DBMS): Stores and manages user information and coordination proposal information. Generally, MySQL, PostgreSQL, etc. are used.

[1103] Emotion analysis software: Analyzes a user's facial expressions and tone of voice to determine their emotional state in real time. It uses voice recognition and facial expression recognition technologies.

[1104] Web application: Provides a user interface and enables operations such as logging in, entering information, suggesting outfits, and completing purchases. This uses technologies such as HTML, CSS, and JavaScript.

[1105] Detailed system processing explanation

[1106] 1. User information registration

[1107] The user logs into the system using a terminal. After logging in, an information registration screen is displayed, where the user inputs their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm). The terminal converts this information into a data packet and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[1108] Example: A user inputs "Brand A", "photoA.jpg", and "height 160cm, inseam 75cm", and the device sends this information to the server, which stores it in a database.

[1109] 2. Coordination suggestions for everyday wear and events

[1110] The user uses the terminal to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The terminal creates request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. In addition, an emotion analysis means analyzes the user's facial expressions and tone of voice to determine the user's emotional state. The server selects appropriate products from multiple brands and generates an outfit, taking into account the user's preferences, body shape information, event, budget, and the analysis results of the emotion analysis means. The generated outfit and product images are sent to the terminal, which displays them to the user.

[1111] Example: A user inputs "entrance ceremony" and "under 10,000 yen" and sends a request to the server. The server suggests "a suit from brand A" and "a blouse from brand B," selects the color and style based on sentiment analysis, and sends the results along with product images to the device. The device displays the results to the user.

[1112] 3. Product selection and purchase procedure

[1113] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user.

[1114] Example: A user selects a "suit from brand A" and a "blouse from brand B," and the device sends a purchase request to the server. The server checks the inventory and completes the purchase process. The device displays purchase confirmation information to the user.

[1115] Prompt Sentence Examples

[1116] Here are some examples of specific prompts:

[1117] "Please suggest an outfit for the entrance ceremony that costs less than 10,000 yen."

[1118] "Please suggest a casual style that suits your mood today."

[1119] This system allows users to efficiently choose the right outfit for their preferences, body type, specific event, and budget, and receive optimal suggestions based on their real-time emotional state.It also allows for a smooth purchase process, increasing user satisfaction.

[1120] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1121] Program processing flow

[1122] Step 1: User login and registration

[1123] 1. User login

[1124] User: Enters login information (user ID and password) using a terminal.

[1125] Terminal: Takes the entered login information, converts it into a data packet, and sends it to the server.

[1126] Server: Receives login information and authenticates it by checking it against a database. After successful authentication, it sends a successful authentication message to the terminal.

[1127] Input: Login information (user ID, password)

[1128] Output: Authentication success message

[1129] 2. User Information Registration

[1130] User: Enter their favorite brand, an image of their favorite outfit, and their body shape information into the information registration screen.

[1131] Terminal: Converts input information into data packets and sends them to the server.

[1132] Server: Analyzes the received information and saves it in the database. After saving is complete, it sends a save completion message to the terminal.

[1133] Input: Favorite brand, favorite outfit image (e.g., photoA.jpg), body shape information (e.g., height 160cm, inseam 75cm)

[1134] Output: Save complete message

[1135] Specific operation: Enter "Brand A", "photoA.jpg", "height 160cm, inseam 75cm", and the device will send this information to the server, which will then store it in the database.

[1136] Step 2: Request a coordination proposal

[1137] 1. Enter your event and budget

[1138] User: Enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen).

[1139] Terminal: Creates the input request data and sends it to the server.

[1140] Input: Event (e.g., entrance ceremony), budget (e.g., within 10,000 yen)

[1141] Output: Request data

[1142] 2. Obtaining user information

[1143] Server: Retrieves user registration information from the database.

[1144] Input: Request data

[1145] Output: User information

[1146] 3. Emotion recognition

[1147] Emotion analysis means: Analyzes the user's facial expressions and tone of voice to determine their emotional state.

[1148] Input: Real-time user facial expressions and tone of voice

[1149] Output: Emotional state

[1150] 4. Coordinate Generation

[1151] Server: Selects appropriate products and generates outfits based on the user's preferences, body shape, event, budget, and emotional state.

[1152] Server: Sends the generated coordinates and product images to the device.

[1153] Input: User information, Events, Budget, Emotional state

[1154] Output: Coordination suggestions and product images

[1155] Specific operation: Enter "entrance ceremony" and "under 10,000 yen" and send a request to the server. The server will suggest "a suit from brand A" and "a blouse from brand B," select the color and style based on sentiment analysis, and send the results along with product images to the device. The device will then display this to the user.

[1156] Step 3: Product selection and checkout

[1157] 1. Product selection

[1158] User: Select the item they wish to purchase from the suggested outfits.

[1159] Terminal: Obtains the selected item information and sends it to the server.

[1160] Input: Selected item information

[1161] Output: Item information

[1162] 2. Check inventory

[1163] Server: Check the inventory of the sent item information.

[1164] Input: Item information

[1165] Output: Inventory information

[1166] 3. Purchase procedure

[1167] Server: After checking the stock, carry out the purchase procedure.

[1168] Server: Sends purchase confirmation information to the device.

[1169] Device: Display purchase confirmation information to the user.

[1170] Input: Inventory Information

[1171] Output: Purchase confirmation information

[1172] Specific operation: The user selects "Brand A suit" and "Brand B blouse," and the device sends a purchase request to the server. The server checks the inventory and completes the purchase process. The device displays purchase confirmation information to the user.

[1173] In this way, by clarifying the specific operations and inputs / outputs at each step of the system, it becomes possible to smoothly propose fashion coordination to users and carry out the purchasing process.

[1174] (Application example 2)

[1175] 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."

[1176] Conventional fashion coordination suggestion systems make suggestions without taking the user's emotional state into consideration, making it difficult to provide optimal coordination that matches the user's current mood and emotions. Furthermore, there is a lack of means for users to receive suggestions in real time at the store and smoothly complete the purchasing process. The present invention aims to solve these problems by suggesting optimal fashion coordination in real time that matches the user's emotional state and realizing a smooth purchasing process.

[1177] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for prompting the user to input a favorite brand, an image of a favorite outfit, and body shape information; means for transmitting the information input by the user to the server and storing it in a database; means for prompting the user to input a specific event and budget and transmitting it to the server; means for analyzing the user's facial expression and tone of voice using an emotion engine to determine the user's emotional state; means for the server to acquire the user information and emotional state from the database, generate an outfit suitable for the user based on the specific event and budget, and transmit it to the terminal; means for the terminal to display the outfit received to the user; means for transmitting purchase information for the item selected by the user to the server, and the server checking the inventory of the item and completing the purchase procedure; and means for transmitting information that the purchase procedure has been completed to the terminal and displaying the purchase confirmation information to the user. This allows the server to suggest optimal fashion outfits in real time according to the user's emotional state, enabling a smooth purchase procedure.

[1178] "User information" refers to personal data entered by the user, such as favorite brands, images of favorite outfits, and body shape information.

[1179] A "server" refers to a device that receives information input by a user, stores it in a database, and works with an emotion engine and database to generate and provide coordination.

[1180] "Database" refers to a storage device for storing and managing data including user information and emotion engine results.

[1181] An "emotion engine" refers to software or hardware that analyzes a user's facial expressions and tone of voice to determine their emotional state.

[1182] "Coordination" refers to a combination of fashions that is generated based on a specific event and budget, taking into account the user's preferences and body shape information.

[1183] "Terminal" refers to a device (e.g., smart glasses, smartphone, etc.) through which a user inputs information and receives outfit suggestions.

[1184] "Checkout" refers to the process of checking inventory and executing the purchase of user-selected items.

[1185] "Event" refers to a particular occasion or activity in which a user participates.

[1186] "Budget" refers to the amount of money the user plans to spend on coordination.

[1187] "Image" refers to visual data that indicates a user's preferred fashion style.

[1188] "Facial expression" refers to the user's facial movements and expressions.

[1189] "Tone of voice" refers to the pitch and intonation of the user's voice.

[1190] "Inventory" refers to the number of items available for sale.

[1191] "Purchase confirmation information" refers to a notification indicating that the purchase procedure has been completed.

[1192] The system of the present invention provides a mechanism incorporating an emotion engine to enable users to efficiently select and purchase fashion coordination. This system is composed of the following steps.

[1193] 1. User information registration

[1194] Users log in to the system using a terminal (such as smart glasses or a smartphone). After logging in, an information registration screen is displayed, and the user enters their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160 cm, inseam 75 cm). The terminal generates a data packet to send this information to the server, and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[1195] 2. Coordination suggestions

[1196] The user uses their device to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. The emotion engine also analyzes the user's facial expressions and tone of voice to determine the user's emotional state. The server selects appropriate products from multiple brands and generates an outfit, taking into account the user's preferences, body shape information, event, budget, and the analysis results of the emotion engine. The generated outfit and product images are sent to the device, which displays them to the user.

[1197] 3. Check and purchase the product

[1198] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user, completing the purchase procedure.

[1199] This system is implemented using the following hardware and software. The devices used by users include smart glasses, smartphones, and head-mounted displays. The system also uses the Emotion_Recognition library and Voice_Recognition library as its emotion engine, which allows it to analyze the user's facial expressions and tone of voice in real time to determine their emotional state. It also uses a general database management system (DBMS) for database management, and the requests library for communication to exchange HTTP requests.

[1200] Examples:

[1201] The user enters "Brand A," "photoA.jpg," and "height 160cm, inseam 75cm." The terminal sends this information to the server, which saves it in a database. Next, the user enters "entrance ceremony" and "under 10,000 yen" and sends a request to the server. Based on this, the server suggests "a suit from Brand A" and "a blouse from Brand B," and selects the color and style based on the emotion engine. The suggested product images are sent to the terminal, which the user confirms. The user selects "a suit from Brand A" and "a blouse from Brand B," and the terminal sends a purchase request to the server, which checks the inventory and completes the purchase process. The terminal displays purchase confirmation information to the user.

[1202] Example prompt sentence:

[1203] "What outfit would best suit my current mood? The event is a casual party. My budget is under 5,000 yen."

[1204] In this way, the system can suggest optimal fashion coordination in real time according to the user's emotional state, enabling a smooth purchasing process and improving user satisfaction.

[1205] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1206] Step 1:

[1207] A user logs in to the system using a terminal. At this time, the input information is the user's authentication information (user ID, password), and the output is a message indicating whether authentication was successful or failed. The terminal sends the input authentication information to the server, which then collates it with a database and returns the authentication result to the terminal.

[1208] Step 2:

[1209] The user inputs their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm) into the device. This input information is personal data, and is processed into a data packet that the server stores in a database. The output is a message indicating that the data has been saved. The device generates a data packet and sends it to the server, and the server returns a message to the device after saving the data to the database.

[1210] Step 3:

[1211] The user inputs a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen) into the terminal. The input information is the event name and budget amount, and the server generates a coordination proposal based on this. The output is a confirmation message after the request is sent to the server. The terminal generates the request data and sends it to the server.

[1212] Step 4:

[1213] The server analyzes the request data and retrieves user information from the database. At the same time, it uses an emotion engine to analyze the user's facial expressions and tone of voice to determine their emotional state. The input information is the request data and the user's real-time visual and audio data, and the output is the analysis results. The server retrieves the emotional state from the emotion engine based on these analysis results.

[1214] Step 5:

[1215] The server selects appropriate products from multiple brands and generates an outfit, taking into consideration the user's preferences, body shape information, event, budget, and the analysis results of the emotion engine. The input information is the user's information and emotional state obtained from the database, and the output is the generated outfit data. The server sends the generated outfit and product images to the terminal.

[1216] Step 6:

[1217] The terminal displays the received coordinates to the user. The input information is the coordinate data and product images sent from the server, and the output is the user's visual confirmation. The terminal displays this data to the user and provides an interface for the user to select items.

[1218] Step 7:

[1219] When the user selects an item they wish to purchase, the terminal sends information about the selected item to the server. The input information is the ID of the item selected by the user, and the output is a message confirming the purchase. The server receives the sent item information and checks the inventory.

[1220] Step 8:

[1221] The server checks the item's inventory and executes the purchase procedure. The input information is the item's inventory data and the information required for the purchase procedure, and the output is a message indicating the completion of the purchase procedure. Once the purchase procedure is completed, the server sends a purchase confirmation to the terminal.

[1222] Step 9:

[1223] The terminal displays the purchase confirmation information to the user. The input information is the purchase confirmation data sent from the server, and the output is the user's confirmation that the purchase has been completed. The terminal displays this to the user, completing the purchase procedure.

[1224] This system allows users to receive real-time suggestions for optimal fashion coordination based on their emotional state, facilitating a smooth purchasing process.

[1225] 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.

[1226] 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.

[1227] 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.

[1228] [Fourth embodiment]

[1229] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1230] 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.

[1231] 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).

[1232] 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.

[1233] 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.

[1234] 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).

[1235] 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.

[1236] 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.

[1237] 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.

[1238] 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.

[1239] 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.

[1240] 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.

[1241] 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."

[1242] MODE FOR CARRYING OUT THE INVENTION

[1243] The system of the present invention enables users to efficiently select and purchase fashion coordinates. Below, the processing of the system program will be explained in natural language, with concrete examples.

[1244] 1. User information registration

[1245] The user logs into the system using a terminal. After logging in, an information registration screen is displayed, where the user enters their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm). The terminal generates a data packet to send this information to the server, and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[1246] Examples:

[1247] The user inputs "Brand A," "photoA.jpg," and "height 160cm, inseam 75cm." The device sends this information to the server, which stores it in a database.

[1248] 2. Coordination suggestions for everyday wear and events

[1249] The user uses their device to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. The server takes into account the user's preferences and body shape information and combines appropriate products from multiple brands to generate the outfit. The generated outfit and product images are sent to the device, which displays it to the user.

[1250] Examples:

[1251] The user inputs "entrance ceremony" and "under 10,000 yen" and sends a request to the server. The server suggests "a suit from brand A" and "a blouse from brand B" and sends them to the terminal along with product images. The terminal displays them to the user.

[1252] 3. Check and purchase the product

[1253] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user, completing the purchase procedure.

[1254] Examples:

[1255] The user selects a "suit from brand A" and a "blouse from brand B," and the terminal sends a purchase request to the server. The server checks the inventory and completes the purchase procedure. The terminal displays purchase confirmation information to the user.

[1256] This system allows users to efficiently find fashion coordination that suits their tastes and body type, and easily complete the purchasing process. In addition, by combining products from multiple brands, a wider range of suggestions is possible, improving user satisfaction.

[1257] The processing flow will be explained below.

[1258] Indeed, the specific processing flow will be explained in the following format.

[1259] 1. User information registration

[1260] Step 1:

[1261] A user logs in to the system at a terminal. A login screen is displayed and the user enters login information.

[1262] Step 2:

[1263] The terminal generates a data packet for transmitting the login information entered by the user to the server. The data packet includes the user ID and password.

[1264] Step 3:

[1265] The server analyzes the received data packet and performs authentication processing. If authentication is successful, it sends a login success message to the terminal.

[1266] Step 4:

[1267] After receiving the login success message, the terminal displays a user information registration screen, where the user inputs their favorite brand, an image of their favorite outfit, and their body shape information.

[1268] Step 5:

[1269] The terminal generates a data packet for transmitting the information input by the user to the server, and transmits the data packet to the server.

[1270] Step 6:

[1271] The server analyzes the received data packets and stores the user information in a database.

[1272] Step 7:

[1273] The server sends a save completion notification to the terminal.

[1274] Step 8:

[1275] The terminal receives the save completion notification and displays a save completion message to the user.

[1276] ---

[1277] 2. Coordination suggestions for everyday wear and events

[1278] Step 1:

[1279] The user opens a request screen for outfit suggestions on their device and enters the event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen).

[1280] Step 2:

[1281] The terminal generates a data packet for transmitting the input request data to the server, and transmits the data packet to the server.

[1282] Step 3:

[1283] The server analyzes the received request data and extracts the event and budget information specified by the user.

[1284] Step 4:

[1285] The server retrieves user information from a database and runs a coordinate generation algorithm.

[1286] Step 5:

[1287] The server considers the user's preferences, body type, event, and budget, selects products from multiple brands, and generates a coordination.

[1288] Step 6:

[1289] The server generates a data packet including the generated coordinates and product images and transmits it to the terminal.

[1290] Step 7:

[1291] The terminal analyzes the received data packet and displays the suggested coordination and product images to the user.

[1292] ---

[1293] 3. Check and purchase the product

[1294] Step 1:

[1295] The user selects the items they wish to purchase from the displayed coordination suggestions.

[1296] Step 2:

[1297] The terminal acquires information about the selected item, generates a purchase data packet, and transmits it to the server.

[1298] Step 3:

[1299] The server analyzes the received purchase data packet and checks the item's inventory.

[1300] Step 4:

[1301] If the server can confirm the availability, it executes the purchase procedure.

[1302] Step 5:

[1303] The server generates a data packet including a notification of completion of the purchase procedure and transmits it to the terminal.

[1304] Step 6:

[1305] The terminal receives the notification that the purchase procedure has been completed and displays purchase confirmation information to the user.

[1306] In this way, the system of the present invention can efficiently carry out the process from user information registration to coordination suggestions, product selection, and purchase procedures in an orderly manner.

[1307] Example 1

[1308] 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."

[1309] In conventional fashion coordination systems, it is difficult for users to receive efficient coordination suggestions based on their preferences and body shape information. Furthermore, there is a lack of appropriate product suggestions for specific events or budgets, resulting in low user satisfaction. Furthermore, it is difficult to suggest combinations of multiple brands, limiting options.

[1310] 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.

[1311] In this invention, the server includes: means for allowing a user to input a preferred brand, an image of the preferred clothing, and body shape data; means for transmitting the information input by the user to the server and storing it in an information storage device; means for allowing a user to input a specific event and budget and transmitting the information to the server; means for the server to acquire the user data from the information storage device, generate clothing suitable for the user based on the specific event and budget, and transmit the generated clothing to the information processing device; means for the server to display the clothing received by the information processing device to the user; means for transmitting product purchase information selected by the user to the server, which the server uses to check product inventory and complete the purchase process; and means for transmitting information indicating the completion of the purchase process to the information processing device and displaying the purchase confirmation information to the user. This allows users to receive efficient coordination suggestions based on their preferences and body shape, and to receive product suggestions appropriate for a specific event or budget. Furthermore, suggestions combining multiple brands expand options and improve user satisfaction.

[1312] - "User" refers to an individual who uses the System to select and purchase fashion outfits.

[1313] A "trademark" refers to the name of a brand or manufacturer, and is a name used to identify a specific product or service.

[1314] "Clothing" refers to fashion items such as clothes and accessories selected by the user.

[1315] "Body shape data" refers to physical information such as the user's height, weight, and inseam, and is data used to ensure an individual fit.

[1316] "Information storage device" refers to a database or storage device for saving data entered by a user.

[1317] A "specific event" refers to a specific event in which a user participates, such as an entrance ceremony or wedding.

[1318] "Budget" refers to the amount of money that a user can spend on fashion coordination.

[1319] "Information processing device" refers to a terminal such as a computer or smartphone used by a user.

[1320] "Product purchase information" refers to specific information about the fashion item that the user wishes to purchase.

[1321] "Product inventory" refers to the current inventory status of the product desired for purchase as confirmed by the server.

[1322] These definitions provide a concrete understanding of key terms contained in the claims.

[1323] The system of the present invention allows users to efficiently select and easily purchase fashion coordinates. A specific embodiment of this system will now be described.

[1324] First, the user logs into the system using their own device (for example, a computer or smartphone). When logging in, the user enters their ID and password, and the device sends this information to the server. The server compares the received information with an information storage device (database) and performs authentication. If authentication is successful, an information registration screen is displayed on the device.

[1325] The user enters the following information on the registration screen:

[1326] 1. Favorite Brands

[1327] 2. An image of your favorite outfit

[1328] 3. Body data (e.g. height 160cm, inseam 75cm)

[1329] Once the input is complete, the terminal converts the information into a data packet and sends it to the server. The server analyzes the received data and stores it in an information storage device. A message indicating that the data has been saved is displayed on the terminal.

[1330] Next, the user requests an outfit suggestion. They open the suggestion request screen on their device and enter the specific event (e.g., entrance ceremony) and budget (e.g., under 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the received request data and obtains user information from an information storage device. The server combines appropriate clothing from multiple brands, taking into account the specific event, budget, and the user's preferences and body shape data, to generate an outfit. The generated outfit and product images are sent to the device, which displays them to the user.

[1331] As a concrete example, consider the case where a user requests "entrance ceremony" and "under 10,000 yen." The server proposes "a suit with brand A" and "a blouse with brand B," and sends them to the terminal along with product images. The terminal displays them to the user.

[1332] When the user selects an item they wish to purchase from the displayed coordination suggestions, the terminal acquires information about the selected item and sends it to the server. The server checks the inventory of the received item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends information indicating that the purchase has been completed to the terminal, and the terminal displays purchase confirmation information to the user.

[1333] For example, a user selects a "suit with brand A" and a "blouse with brand B," and the terminal sends a purchase request to the server. In this case, the server checks the inventory and completes the purchase procedure. The terminal displays purchase confirmation information to the user.

[1334] Furthermore, this system is equipped with a generative AI model that suggests the best coordination for the user's request. Below is an example of a prompt sentence that can be input to the generative AI model:

[1335] "Please suggest a fashion outfit suitable for an entrance ceremony, costing less than 10,000 yen. The user's body information is height 160cm, inseam 75cm. The user's favorite trademark is Trademark A."

[1336] "Please suggest a casual outfit for the weekend for under 30,000 yen. The user's body measurements are height 170cm, waist 85cm."

[1337] This invention allows users to find efficient fashion coordination based on their preferences and body type, and easily complete the purchasing process. It also allows users to combine products from a wide range of brands, improving user satisfaction.

[1338] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1339] Step 1: User Login

[1340] (Input) The user enters the ID and password on the terminal.

[1341] (Processing) The terminal converts the entered login information into a data packet and sends it to the server.

[1342] (Data processing / calculation) The server compares the received login information with the information storage device (database) and performs authentication.

[1343] (Output) The server sends the authentication result to the terminal, and if the terminal is successfully authenticated, it displays the information registration screen.

[1344] Specifically, when the login button is pressed on the terminal, a request is sent to the server, and the authentication process begins in the information storage device. Based on the authentication result, the following screen is displayed.

[1345] Step 2: Register your information

[1346] (Input) The user inputs their preferred trademark, an image of their preferred clothing, and body shape data on the information registration screen.

[1347] (Processing) The terminal converts the input information into a data packet and sends it to the server.

[1348] (Data processing / calculation) The server analyzes the received data and stores it in the information storage device.

[1349] (Output) The server sends a message indicating that the save is complete to the terminal, and the terminal displays the message indicating that the save is complete to the user.

[1350] Specifically, when a user enters and submits information, the server analyzes and saves the data and notifies the device of the results.

[1351] Step 3: Coordination proposal request

[1352] (Input) The user inputs a specific event and budget on the coordination proposal request screen.

[1353] (Processing) The terminal creates request data and sends it to the server.

[1354] (Data processing / calculation) The server analyzes the received request data and acquires user information from the information storage device.

[1355] (Output) Based on the user information and request content acquired by the server, a coordination proposal is generated and sent to the terminal.

[1356] Specifically, when a user inputs a specific event and budget and submits a request, the server extracts the necessary information from the database and uses a generative AI model to suggest the optimal outfit.

[1357] Step 4: Viewing Proposals

[1358] (Input) Coordination suggestions and product images generated by the server.

[1359] (Processing) The terminal displays the coordination suggestions and product images received from the server.

[1360] (Data processing / calculation) The data generated by the server is sent to the terminal and converted into a format that can be displayed by the terminal.

[1361] (Output) Coordination suggestions and product images are displayed in a form that the user can visually confirm.

[1362] Specifically, suggestions and images are displayed on the device, allowing the user to make a selection based on them.

[1363] Step 5: Select your purchase

[1364] (Input) Selection information of the item the user wishes to purchase.

[1365] (Processing) The terminal obtains information about the selected item and sends it to the server.

[1366] (Data processing / calculation) The server analyzes the selection information received and checks product inventory.

[1367] (Output) The server sends the inventory check results and information about the purchase procedure to the terminal.

[1368] Specifically, when a user selects a product and submits a purchase request, the server checks the inventory and returns the results to the terminal.

[1369] Step 6: Complete your purchase

[1370] (Input) The server checks the stock and sends the purchase completion information.

[1371] (Processing) The terminal displays the purchase procedure completion information received from the server.

[1372] (Data processing / calculation) After the server checks the inventory, it executes the purchase procedure and sends the results to the terminal.

[1373] (Output) The user is notified that the purchase has been completed.

[1374] Specifically, purchase procedure completion information is displayed on the terminal to notify the user that the purchase has been completed.

[1375] (Application example 1)

[1376] 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."

[1377] Today's consumers want to efficiently select the perfect fashion outfit for a specific event or budget, while also wanting to reduce the time and effort required to visit a physical store. Furthermore, online shopping does not allow users to directly check the fit and appearance of the product, which can lead to lower post-purchase satisfaction. Given these circumstances, there is a need for a system that allows users to try on items in a virtual space and provides optimal outfits based on user information and preferences.

[1378] 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.

[1379] In this invention, the server includes means for storing user information and body shape information in a database, means for utilizing a generative AI model to generate outfits based on an event and a budget, and means for using virtual reality or augmented reality to try on items in a virtual space, thereby enabling consumers to efficiently select and purchase the fashion outfit that best suits them while trying on items in the virtual space.

[1380] "User information" is data including favorite brands, images of favorite outfits, and body shape information that a user inputs into the system.

[1381] A "server" is a computer system that receives information sent by a user, stores it in a database, and then generates and sends the optimal coordination to the user.

[1382] "Database" means a system for systematically storing and managing user information and other related data.

[1383] "Terminal" refers to a device that a user uses to enter information, receive outfit suggestions, and purchase items.

[1384] A "virtual space" is an environment in which users can visually experience digital content using virtual reality or augmented reality technology.

[1385] A "generative AI model" is an algorithm that uses artificial intelligence technology to generate optimal fashion coordination based on user information, events, and budget.

[1386] A "prompt" is an instruction entered into a generative AI model and contains the necessary information to generate a coordination suggestion.

[1387] The embodiment of the present invention is a system that enables a user to try on fashion items in a virtual space and efficiently select and purchase the fashion coordination that best suits them. The specific configuration and processing of the system will be described below.

[1388] First, the user puts on a device such as smart glasses or a head-mounted display and starts the application. A login screen appears and the user enters their account information. When logging in for the first time, they enter their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160 cm, inseam 75 cm). This information is sent from the device to the server, which then stores it in a database (e.g., PostgreSQL).

[1389] Next, the user inputs a specific event (e.g., a party) and budget (amount). The device analyzes this information, creates a prompt for a generative AI model (e.g., GPT-4) to generate fashion suggestions, and sends it to the server. An example of a specific prompt is as follows:

[1390] "To generate fashion suggestions, please suggest outfits based on the following information: The user's favorite brand is Brand A, their height is 160cm, and their inseam is 75cm. The event is a party, and their budget is within 10,000 yen."

[1391] The server uses a generative AI model to generate optimal outfit suggestions for the user based on the prompt text. At this time, the generated outfit information and product images (3D models) are sent to the device, allowing the user to visually check and try on the outfits in the virtual space.

[1392] If the user checks the outfits they have tried on and wishes to purchase them, they send the purchase information to the server. The server checks the product's inventory and carries out the purchase procedure. Once the purchase procedure is complete, confirmation information is sent to the terminal and displayed to the user.

[1393] The hardware used includes smart glasses (e.g., Nreal Light) and head-mounted displays (e.g., Oculus Quest 2), while the software used includes Unity (3D modeling and interaction creation), Python (implementation of generative AI models and backend processing), and TensorFlow (AI models).

[1394] For example, if a user logs in and enters their favorite brand as "Brand B," their event as "Wedding," and their budget as "15,000 yen," the generated prompt text will be as follows:

[1395] "To generate fashion suggestions, please suggest outfits based on the following information: The user's favorite brand is Brand B, their height is 160cm, and their inseam is 75cm. The event is a wedding, and their budget is within 15,000 yen."

[1396] By sending this prompt to an AI model, the optimal outfit tailored to the event and budget can be generated and displayed on the app.

[1397] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1398] Step 1:

[1399] The user puts on smart glasses or a head-mounted display and starts the application. The information entered is a login ID and password, which the device sends to the server. The server authenticates the user, and if login is successful, the device displays an input screen on the device asking for the user's favorite brand, outfit image, and body shape information (e.g., height 160 cm, inseam 75 cm) when they first log in. Once the user has entered this information, the device sends it to the server as a data packet. The server analyzes the data and stores it in a database.

[1400] Step 2:

[1401] The user inputs a specific event (e.g., a party) and their budget (amount). After this data is input, it is sent from the device to the server. The server analyzes this information and uses a generative AI model (e.g., GPT-4) to create a prompt that generates outfit suggestions. An example of a specific prompt is as follows: "To generate fashion suggestions, please suggest an outfit based on the following information. The user's favorite brand is Brand A, their height is 160 cm, and their inseam is 75 cm. The event is a party, and their budget is within 10,000 yen."

[1402] Step 3:

[1403] The server sends a prompt to the generative AI model, requesting it to generate the optimal outfit proposal for the user. The generative AI model performs data calculations based on user information, events, and budget, and generates the optimal outfit. The generated outfit information and product images (3D models) are sent from the server to the device, which displays them in a visually verifiable format within the virtual space.

[1404] Step 4:

[1405] The user tries on suggested outfits in a virtual space. They can check the look and fit of the items through their movements and inputs. Based on the results of the try-on, the user selects the items they wish to purchase. Information about the selected items is sent from the device to the server.

[1406] Step 5:

[1407] The server checks the inventory of the selected item information and begins the purchase procedure. As part of the necessary data processing, it checks the inventory database to determine whether the item is in stock. Based on the results, it proceeds with the purchase procedure and generates payment information. After the payment information is generated, the server sends purchase confirmation information to the terminal. The terminal displays the purchase confirmation information to the user, completing the purchase procedure.

[1408] Through the above processing steps, the user can try on items in the virtual space and efficiently select and purchase the fashion coordination that best suits them.

[1409] 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.

[1410] MODE FOR CARRYING OUT THE INVENTION

[1411] The system of the present invention provides a mechanism incorporating an emotion engine to enable users to efficiently select and purchase fashion coordinates. Below, the processing of the system's program will be explained in natural language, with concrete examples.

[1412] 1. User information registration

[1413] The user logs into the system using a terminal. After logging in, an information registration screen is displayed, where the user enters their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm). The terminal generates a data packet to send this information to the server, and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[1414] Examples:

[1415] The user inputs "Brand A," "photoA.jpg," and "height 160cm, inseam 75cm." The device sends this information to the server, which stores it in a database.

[1416] 2. Coordination suggestions for everyday wear and events

[1417] The user uses their device to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. The emotion engine also analyzes the user's facial expressions and tone of voice to determine the user's emotional state. The server selects appropriate products from multiple brands and generates an outfit, taking into account the user's preferences, body shape information, event, budget, and the analysis results of the emotion engine. The generated outfit and product images are sent to the device, which displays them to the user.

[1418] Examples:

[1419] The user inputs "entrance ceremony" and "under 10,000 yen" and sends a request to the server. The server suggests "a suit from brand A" and "a blouse from brand B," selects the color and style based on the emotion engine, and sends the results along with product images to the device. The device displays this to the user.

[1420] 3. Check and purchase the product

[1421] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user, completing the purchase procedure.

[1422] Examples:

[1423] The user selects a "suit from brand A" and a "blouse from brand B," and the terminal sends a purchase request to the server. The server checks the inventory and completes the purchase procedure. The terminal displays purchase confirmation information to the user.

[1424] Additional features: User emotion recognition

[1425] In the system of the present invention, the emotion engine analyzes the user's facial expressions and tone of voice in real time to determine their emotional state (e.g., joy, sadness, stress, etc.). This emotion data, along with the user's past selection history, is analyzed and used to suggest outfits that best match the user's current mood. For example, if the emotion engine determines that the user is relaxed, it will suggest a casual style outfit. On the other hand, if the user is nervous, it will suggest a formal style with muted colors.

[1426] Examples:

[1427] The emotion engine detects stress levels from the user's tone of voice and suggests a "relaxing dress suitable for an evening party" based on that state. The dress matches the user's favorite brand and is selected to suit their body type.

[1428] In this way, the system of the present invention can efficiently perform everything from user information registration to outfit suggestions, product selection, and purchase procedures. Furthermore, by incorporating an emotion engine, it is possible to suggest optimal outfits based on the user's emotional state, further improving user satisfaction.

[1429] The processing flow will be explained below.

[1430] MODE FOR CARRYING OUT THE INVENTION

[1431] 1. User information registration

[1432] Step 1:

[1433] A user logs in to the system at a terminal. A login screen is displayed and the user enters login information.

[1434] Step 2:

[1435] The terminal generates a data packet for transmitting the login information entered by the user to the server. The generated data packet includes the user ID and password.

[1436] Step 3:

[1437] The server analyzes the received data packet and performs authentication processing. If authentication is successful, it sends a login success message to the terminal.

[1438] Step 4:

[1439] After receiving the login success message, the terminal displays a user information registration screen, where the user inputs their favorite brand, an image of their favorite outfit, and their body shape information.

[1440] Step 5:

[1441] The terminal generates a data packet for transmitting the information input by the user to the server, and transmits the packet to the server via the network.

[1442] Step 6:

[1443] The server analyzes the received data packets and stores the user information in a database.

[1444] Step 7:

[1445] The server confirms that the user information has been saved normally, and sends a save completion notice to the terminal.

[1446] Step 8:

[1447] The terminal receives the save completion notification and displays a save completion message to the user.

[1448] 2. Coordination suggestions for everyday wear and events

[1449] Step 1:

[1450] The user opens a request screen for outfit suggestions on their device and inputs a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen).

[1451] Step 2:

[1452] The terminal generates a data packet for transmitting the input request data to the server, and transmits the data packet to the server.

[1453] Step 3:

[1454] The server analyzes the received request data and extracts the event and budget information specified by the user.

[1455] Step 4:

[1456] The server retrieves user information from the database and activates the emotion engine, which then analyzes the user's facial expressions, tone of voice, and other possible characteristics in real time to determine the user's current emotional state.

[1457] Step 5:

[1458] The server takes into account the user's preferences, body shape information, and the analysis results of the emotion engine, and executes an algorithm to generate outfits based on the event and budget.

[1459] Step 6:

[1460] The server selects and creates a coordinated outfit that suits the user from multiple brands, and retrieves product images related to the created coordinated outfit.

[1461] Step 7:

[1462] The server generates a data packet including the generated coordinates and product images and transmits it to the terminal.

[1463] Step 8:

[1464] The terminal analyzes the received data packet and displays the suggested coordination and product images to the user.

[1465] 3. Check and purchase the product

[1466] Step 1:

[1467] The user selects the items they wish to purchase from the displayed coordination suggestions.

[1468] Step 2:

[1469] The terminal acquires information about the selected item, generates a purchase data packet, and transmits it to the server.

[1470] Step 3:

[1471] The server analyzes the received purchase data packet and checks the item's inventory.

[1472] Step 4:

[1473] The server performs the checkout for in-stock items, processes the necessary payment information, and confirms the purchase.

[1474] Step 5:

[1475] The server generates a data packet including a notification of the completion of the purchase procedure and transmits it to the terminal.

[1476] Step 6:

[1477] The terminal receives notification that the purchase procedure has been completed and displays purchase confirmation information to the user.

[1478] In this way, the system of the present invention can efficiently and systematically carry out the entire process from user information registration to outfit suggestions, product selection, and purchase procedures. Furthermore, by incorporating an emotion engine, it is possible to suggest optimal outfits according to the user's emotional state, thereby improving user satisfaction.

[1479] Example 2

[1480] 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."

[1481] The present invention relates to a system that enables users to efficiently select and purchase fashion coordination. Conventional systems have difficulty proposing appropriate coordination based on a user's preferences, body shape information, specific events, and budget. Furthermore, coordination suggestions do not take into account the user's emotional state, and user satisfaction has not been improved. Therefore, there is a need for a system that analyzes a user's emotional state in real time and proposes optimal coordination based on that state.

[1482] 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.

[1483] In this invention, the server includes: means for prompting a user to input a favorite brand, an image of a favorite outfit, and body shape information; means for transmitting the information input by the user to the server and storing it in a database; means for prompting a user to input a specific event and budget and transmitting the information to the server; means for the server to retrieve the user information from the database, generate an outfit suitable for the user based on the specific event and budget, and transmit the generated outfit to the terminal; means for the terminal to display the outfit received by the user; means for analyzing the user's emotional state using an emotion analysis means and reflecting the analysis results in the outfit suggestion; means for transmitting purchase information for items selected by the user to the server, and the server confirming the availability of the items and completing the purchase procedure; and means for transmitting information indicating the completion of the purchase procedure to the terminal and displaying the purchase confirmation information to the user. This enables appropriate outfit suggestions based on the user's preferences, body shape, specific event, and budget, as well as outfit suggestions based on the user's real-time emotional state, thereby improving user satisfaction.

[1484] "User" refers to an individual who uses the system to suggest and purchase fashion coordination.

[1485] A "terminal" is a device used by a user to access the system, and includes a personal computer, a smartphone, etc.

[1486] A "server" is a computer that is the central part of a system and is responsible for receiving information from users, processing it, and storing it in a database.

[1487] "Database" refers to a data storage system that allows a server to systematically accumulate and manage user information and information necessary for coordination proposals.

[1488] "Emotion analysis means" refers to a technical means for analyzing a user's facial expression, tone of voice, etc., to determine the user's emotional state.

[1489] "Coordination" refers to suggestions for styles and clothing that combine fashion items.

[1490] An "event" refers to a specific occasion or gathering in which a user participates, and includes items that can be used as reference for coordination suggestions.

[1491] "Budget" refers to the upper limit of the amount of money a user can spend on coordination.

[1492] The "purchase procedure" refers to a series of operations and confirmation steps required for a user to confirm the purchase of an item selected by the user.

[1493] "Purchase confirmation information" is information indicating that the purchase procedure has been completed, and includes a confirmation message that is displayed to the user.

[1494] MODE FOR CARRYING OUT THE INVENTION

[1495] The system of the present invention incorporates a sentiment analysis means to enable users to efficiently select and purchase fashion coordinates. Specific embodiments of the system of the present invention will be described below.

[1496] Hardware Configuration

[1497] This system mainly uses the following hardware:

[1498] Server: Receives information from users, stores it in a database, generates coordination suggestions, and connects with emotion analysis tools.

[1499] Terminal: The device that a user uses as an interface, such as a computer, smartphone, or tablet.

[1500] Network: Infrastructure for communication between terminals and servers, primarily using the Internet.

[1501] Software Configuration

[1502] The system uses the following software:

[1503] Database Management System (DBMS): Stores and manages user information and coordination proposal information. Generally, MySQL, PostgreSQL, etc. are used.

[1504] Emotion analysis software: Analyzes a user's facial expressions and tone of voice to determine their emotional state in real time. It uses voice recognition and facial expression recognition technologies.

[1505] Web application: Provides a user interface and enables operations such as logging in, entering information, suggesting outfits, and completing purchases. This uses technologies such as HTML, CSS, and JavaScript.

[1506] Detailed system processing explanation

[1507] 1. User information registration

[1508] The user logs into the system using a terminal. After logging in, an information registration screen is displayed, where the user inputs their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm). The terminal converts this information into a data packet and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[1509] Example: A user inputs "Brand A", "photoA.jpg", and "height 160cm, inseam 75cm", and the device sends this information to the server, which stores it in a database.

[1510] 2. Coordination suggestions for everyday wear and events

[1511] The user uses the terminal to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The terminal creates request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. In addition, an emotion analysis means analyzes the user's facial expressions and tone of voice to determine the user's emotional state. The server selects appropriate products from multiple brands and generates an outfit, taking into account the user's preferences, body shape information, event, budget, and the analysis results of the emotion analysis means. The generated outfit and product images are sent to the terminal, which displays them to the user.

[1512] Example: A user inputs "entrance ceremony" and "under 10,000 yen" and sends a request to the server. The server suggests "a suit from brand A" and "a blouse from brand B," selects the color and style based on sentiment analysis, and sends the results along with product images to the device. The device displays the results to the user.

[1513] 3. Product selection and purchase procedure

[1514] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user.

[1515] Example: A user selects a "suit from brand A" and a "blouse from brand B," and the device sends a purchase request to the server. The server checks the inventory and completes the purchase process. The device displays purchase confirmation information to the user.

[1516] Prompt Sentence Examples

[1517] Here are some examples of specific prompts:

[1518] "Please suggest an outfit for the entrance ceremony that costs less than 10,000 yen."

[1519] "Please suggest a casual style that suits your mood today."

[1520] This system allows users to efficiently choose the right outfit for their preferences, body type, specific event, and budget, and receive optimal suggestions based on their real-time emotional state.It also allows for a smooth purchase process, increasing user satisfaction.

[1521] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1522] Program processing flow

[1523] Step 1: User login and registration

[1524] 1. User login

[1525] User: Enters login information (user ID and password) using a terminal.

[1526] Terminal: Takes the entered login information, converts it into a data packet, and sends it to the server.

[1527] Server: Receives login information and authenticates it by checking it against a database. After successful authentication, it sends a successful authentication message to the terminal.

[1528] Input: Login information (user ID, password)

[1529] Output: Authentication success message

[1530] 2. User Information Registration

[1531] User: Enter their favorite brand, an image of their favorite outfit, and their body shape information into the information registration screen.

[1532] Terminal: Converts input information into data packets and sends them to the server.

[1533] Server: Analyzes the received information and saves it in the database. After saving is complete, it sends a save completion message to the terminal.

[1534] Input: Favorite brand, favorite outfit image (e.g., photoA.jpg), body shape information (e.g., height 160cm, inseam 75cm)

[1535] Output: Save complete message

[1536] Specific operation: Enter "Brand A", "photoA.jpg", "height 160cm, inseam 75cm", and the device will send this information to the server, which will then store it in the database.

[1537] Step 2: Request a coordination proposal

[1538] 1. Enter your event and budget

[1539] User: Enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen).

[1540] Terminal: Creates the input request data and sends it to the server.

[1541] Input: Event (e.g., entrance ceremony), budget (e.g., within 10,000 yen)

[1542] Output: Request data

[1543] 2. Obtaining user information

[1544] Server: Retrieves user registration information from the database.

[1545] Input: Request data

[1546] Output: User information

[1547] 3. Emotion recognition

[1548] Emotion analysis means: Analyzes the user's facial expressions and tone of voice to determine their emotional state.

[1549] Input: Real-time user facial expressions and tone of voice

[1550] Output: Emotional state

[1551] 4. Coordinate Generation

[1552] Server: Selects appropriate products and generates outfits based on the user's preferences, body shape, event, budget, and emotional state.

[1553] Server: Sends the generated coordinates and product images to the device.

[1554] Input: User information, Events, Budget, Emotional state

[1555] Output: Coordination suggestions and product images

[1556] Specific operation: Enter "entrance ceremony" and "under 10,000 yen" and send a request to the server. The server will suggest "a suit from brand A" and "a blouse from brand B," select the color and style based on sentiment analysis, and send the results along with product images to the device. The device will then display this to the user.

[1557] Step 3: Product selection and checkout

[1558] 1. Product selection

[1559] User: Select the item they wish to purchase from the suggested outfits.

[1560] Terminal: Obtains the selected item information and sends it to the server.

[1561] Input: Selected item information

[1562] Output: Item information

[1563] 2. Check inventory

[1564] Server: Check the inventory of the sent item information.

[1565] Input: Item information

[1566] Output: Inventory information

[1567] 3. Purchase procedure

[1568] Server: After checking the stock, carry out the purchase procedure.

[1569] Server: Sends purchase confirmation information to the device.

[1570] Device: Display purchase confirmation information to the user.

[1571] Input: Inventory Information

[1572] Output: Purchase confirmation information

[1573] Specific operation: The user selects "Brand A suit" and "Brand B blouse," and the device sends a purchase request to the server. The server checks the inventory and completes the purchase process. The device displays purchase confirmation information to the user.

[1574] In this way, by clarifying the specific operations and inputs / outputs at each step of the system, it becomes possible to smoothly propose fashion coordination to users and carry out the purchasing process.

[1575] (Application example 2)

[1576] 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."

[1577] Conventional fashion coordination suggestion systems make suggestions without taking the user's emotional state into consideration, making it difficult to provide optimal coordination that matches the user's current mood and emotions. Furthermore, there is a lack of means for users to receive suggestions in real time at the store and smoothly complete the purchasing process. The present invention aims to solve these problems by suggesting optimal fashion coordination in real time that matches the user's emotional state and realizing a smooth purchasing process.

[1578] The specification process by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for prompting the user to input a favorite brand, an image of a favorite outfit, and body shape information; means for transmitting the information input by the user to the server and storing it in a database; means for prompting the user to input a specific event and budget and transmitting it to the server; means for analyzing the user's facial expression and tone of voice using an emotion engine to determine the user's emotional state; means for the server to acquire the user information and emotional state from the database, generate an outfit suitable for the user based on the specific event and budget, and transmit it to the terminal; means for the terminal to display the outfit received to the user; means for transmitting purchase information for the item selected by the user to the server, and the server checking the inventory of the item and completing the purchase procedure; and means for transmitting information that the purchase procedure has been completed to the terminal and displaying the purchase confirmation information to the user. This allows the server to suggest optimal fashion outfits in real time according to the user's emotional state, enabling a smooth purchase procedure.

[1579] "User information" refers to personal data entered by the user, such as favorite brands, images of favorite outfits, and body shape information.

[1580] A "server" refers to a device that receives information input by a user, stores it in a database, and works with an emotion engine and database to generate and provide coordination.

[1581] "Database" refers to a storage device for storing and managing data including user information and emotion engine results.

[1582] An "emotion engine" refers to software or hardware that analyzes a user's facial expressions and tone of voice to determine their emotional state.

[1583] "Coordination" refers to a combination of fashions that is generated based on a specific event and budget, taking into account the user's preferences and body shape information.

[1584] "Terminal" refers to a device (e.g., smart glasses, smartphone, etc.) through which a user inputs information and receives outfit suggestions.

[1585] "Checkout" refers to the process of checking inventory and executing the purchase of user-selected items.

[1586] "Event" refers to a particular occasion or activity in which a user participates.

[1587] "Budget" refers to the amount of money the user plans to spend on coordination.

[1588] "Image" refers to visual data that indicates a user's preferred fashion style.

[1589] "Facial expression" refers to the user's facial movements and expressions.

[1590] "Tone of voice" refers to the pitch and intonation of the user's voice.

[1591] "Inventory" refers to the number of items available for sale.

[1592] "Purchase confirmation information" refers to a notification indicating that the purchase procedure has been completed.

[1593] The system of the present invention provides a mechanism incorporating an emotion engine to enable users to efficiently select and purchase fashion coordination. This system is composed of the following steps.

[1594] 1. User information registration

[1595] Users log in to the system using a terminal (such as smart glasses or a smartphone). After logging in, an information registration screen is displayed, and the user enters their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160 cm, inseam 75 cm). The terminal generates a data packet to send this information to the server, and sends it over the network to the server. The server analyzes the received information and saves it in a database. After saving is complete, a message indicating this is displayed on the terminal.

[1596] 2. Coordination suggestions

[1597] The user uses their device to open a request screen for outfit suggestions. They enter a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen). The device creates the request data and sends it to the server. The server analyzes the request data and retrieves user information from a database to generate an outfit based on the event and budget. The emotion engine also analyzes the user's facial expressions and tone of voice to determine the user's emotional state. The server selects appropriate products from multiple brands and generates an outfit, taking into account the user's preferences, body shape information, event, budget, and the analysis results of the emotion engine. The generated outfit and product images are sent to the device, which displays them to the user.

[1598] 3. Check and purchase the product

[1599] The user selects the item they wish to purchase from the displayed coordination suggestions. The device acquires information about the selected item and sends it to the server. The server checks the inventory of the sent item information and carries out the purchase procedure. Once the purchase procedure is complete, the server sends purchase confirmation information to the device. The device displays the purchase confirmation information to the user, completing the purchase procedure.

[1600] This system is implemented using the following hardware and software. The devices used by users include smart glasses, smartphones, and head-mounted displays. The system also uses the Emotion_Recognition library and Voice_Recognition library as its emotion engine, which allows it to analyze the user's facial expressions and tone of voice in real time to determine their emotional state. It also uses a general database management system (DBMS) for database management, and the requests library for communication to exchange HTTP requests.

[1601] Examples:

[1602] The user enters "Brand A," "photoA.jpg," and "height 160cm, inseam 75cm." The terminal sends this information to the server, which saves it in a database. Next, the user enters "entrance ceremony" and "under 10,000 yen" and sends a request to the server. Based on this, the server suggests "a suit from Brand A" and "a blouse from Brand B," and selects the color and style based on the emotion engine. The suggested product images are sent to the terminal, which the user confirms. The user selects "a suit from Brand A" and "a blouse from Brand B," and the terminal sends a purchase request to the server, which checks the inventory and completes the purchase process. The terminal displays purchase confirmation information to the user.

[1603] Example prompt sentence:

[1604] "What outfit would best suit my current mood? The event is a casual party. My budget is under 5,000 yen."

[1605] In this way, the system can suggest optimal fashion coordination in real time according to the user's emotional state, enabling a smooth purchasing process and improving user satisfaction.

[1606] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1607] Step 1:

[1608] A user logs in to the system using a terminal. At this time, the input information is the user's authentication information (user ID, password), and the output is a message indicating whether authentication was successful or failed. The terminal sends the input authentication information to the server, which then collates it with a database and returns the authentication result to the terminal.

[1609] Step 2:

[1610] The user inputs their favorite brand, an image of their favorite outfit, and their body shape information (e.g., height 160cm, inseam 75cm) into the device. This input information is personal data, and is processed into a data packet that the server stores in a database. The output is a message indicating that the data has been saved. The device generates a data packet and sends it to the server, and the server returns a message to the device after saving the data to the database.

[1611] Step 3:

[1612] The user inputs a specific event (e.g., entrance ceremony) and budget (e.g., within 10,000 yen) into the terminal. The input information is the event name and budget amount, and the server generates a coordination proposal based on this. The output is a confirmation message after the request is sent to the server. The terminal generates the request data and sends it to the server.

[1613] Step 4:

[1614] The server analyzes the request data and retrieves user information from the database. At the same time, it uses an emotion engine to analyze the user's facial expressions and tone of voice to determine their emotional state. The input information is the request data and the user's real-time visual and audio data, and the output is the analysis results. The server retrieves the emotional state from the emotion engine based on these analysis results.

[1615] Step 5:

[1616] The server selects appropriate products from multiple brands and generates an outfit, taking into consideration the user's preferences, body shape information, event, budget, and the analysis results of the emotion engine. The input information is the user's information and emotional state obtained from the database, and the output is the generated outfit data. The server sends the generated outfit and product images to the terminal.

[1617] Step 6:

[1618] The terminal displays the received coordinates to the user. The input information is the coordinate data and product images sent from the server, and the output is the user's visual confirmation. The terminal displays this data to the user and provides an interface for the user to select items.

[1619] Step 7:

[1620] When the user selects an item they wish to purchase, the terminal sends information about the selected item to the server. The input information is the ID of the item selected by the user, and the output is a message confirming the purchase. The server receives the sent item information and checks the inventory.

[1621] Step 8:

[1622] The server checks the item's inventory and executes the purchase procedure. The input information is the item's inventory data and the information required for the purchase procedure, and the output is a message indicating the completion of the purchase procedure. Once the purchase procedure is completed, the server sends a purchase confirmation to the terminal.

[1623] Step 9:

[1624] The terminal displays the purchase confirmation information to the user. The input information is the purchase confirmation data sent from the server, and the output is the user's confirmation that the purchase has been completed. The terminal displays this to the user, completing the purchase procedure.

[1625] This system allows users to receive real-time suggestions for optimal fashion coordination based on their emotional state, facilitating a smooth purchasing process.

[1626] 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.

[1627] 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.

[1628] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1629] 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.

[1630] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1631] 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.

[1632] 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).

[1633] 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.

[1634] 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."

[1635] 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.

[1636] 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).

[1637] 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.

[1638] 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.

[1639] 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.

[1640] 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.

[1641] 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.

[1642] 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.

[1643] 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.

[1644] 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.

[1645] 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.

[1646] 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.

[1647] The following is further disclosed regarding the above embodiment.

[1648] Claims

[1649] (Claim 1)

[1650] A means for allowing a user to input a favorite brand, an image of a favorite outfit, and body shape information;

[1651] means for transmitting the information input by the user to a server and storing the information in a database;

[1652] means for inputting and transmitting specific events and budgets to said server;

[1653] a means for the server to acquire the user information from the database, generate a coordinate suitable for the user based on the specific event and budget, and transmit the coordinate to the terminal;

[1654] means for displaying the coordinates received by the terminal to the user;

[1655] means for transmitting purchase information of the item selected by the user to the server, and for the server to check the inventory of the item and execute the purchase procedure;

[1656] means for transmitting information indicating that the purchase procedure has been completed to the terminal and displaying the purchase confirmation information to the user;

[1657] A system including:

[1658] (Claim 2)

[1659] 2. The system according to claim 1, wherein the server has a means for combining products of a plurality of brands in generating the coordination.

[1660] (Claim 3)

[1661] 2. The system according to claim 1, wherein the terminal has a means for displaying visually verifiable product images in the coordination proposal.

[1662] "Example 1"

[1663] (Claim 1)

[1664] A means for allowing a user to input a favorite trademark, an image of a favorite outfit, and body shape data;

[1665] means for transmitting the information input by the user to a server and storing the information in an information storage device;

[1666] means for inputting a specific event and budget and transmitting the information to the server;

[1667] a means for the server to acquire the user data from the information storage device, generate clothing suitable for the user based on the specific event and budget, and transmit the clothing to the information processing device;

[1668] means for displaying the clothing received by the information processing device to the user;

[1669] means for transmitting product purchase information selected by the user to the server, and for the server to check the product inventory and execute the purchase procedure;

[1670] means for transmitting information indicating that the purchase procedure has been completed to the information processing device and displaying the purchase confirmation information to the user;

[1671] A system including:

[1672] (Claim 2)

[1673] 2. The system according to claim 1, wherein the server has means for combining products of multiple brands in generating the clothing.

[1674] (Claim 3)

[1675] 2. The system according to claim 1, wherein the information processing device has a means for displaying visually identifiable product images in the clothing suggestions.

[1676] "Application Example 1"

[1677] (Claim 1)

[1678] A means for allowing a user to input a favorite brand, an image of a favorite outfit, and body shape information;

[1679] means for transmitting the information input by the user to a server and storing the information in a database;

[1680] means for inputting and transmitting specific events and budgets to said server;

[1681] a means for the server to acquire the user information from the database, generate a coordinate suitable for the user based on the specific event and budget, and transmit the coordinate to the terminal;

[1682] means for displaying the coordinates received by the terminal to the user;

[1683] means for transmitting purchase information of the item selected by the user to the server, and for the server to check the inventory of the item and execute the purchase procedure;

[1684] means for transmitting information indicating that the purchase procedure has been completed to the terminal and displaying the purchase confirmation information to the user;

[1685] A means for utilizing virtual reality or augmented reality to realize trying on items in a virtual space;

[1686] A means for generating prompt sentences using a generative AI model to suggest outfits based on user information, events, and budget;

[1687] A system including:

[1688] (Claim 2)

[1689] 2. The system according to claim 1, wherein the server has a means for combining products of a plurality of brands in generating the coordination.

[1690] (Claim 3)

[1691] 2. The system according to claim 1, wherein the terminal has a means for displaying visually verifiable product images in the coordination proposal.

[1692] "Example 2: Combining Emotion Engines"

[1693] (Claim 1)

[1694] A means for allowing a user to input a favorite brand, an image of a favorite outfit, and body shape information;

[1695] means for transmitting the information input by the user to a server and storing the information in a database;

[1696] means for inputting and transmitting specific events and budgets to said server;

[1697] a means for the server to acquire the user information from the database, generate a coordinate suitable for the user based on the specific event and budget, and transmit the coordinate to the terminal;

[1698] means for displaying the coordinates received by the terminal to the user;

[1699] a means for analyzing the emotional state of the user using an emotion analysis means and reflecting the analysis result in the coordination proposal;

[1700] means for transmitting purchase information of the item selected by the user to the server, and for the server to check the inventory of the item and execute the purchase procedure;

[1701] means for transmitting information indicating that the purchase procedure has been completed t...

Claims

1. A means for allowing a user to input a favorite brand, an image of a favorite outfit, and body shape information; means for transmitting the information input by the user to a server and storing the information in a database; means for inputting and transmitting specific events and budgets to said server; a means for the server to acquire the user information from the database, generate a coordinate suitable for the user based on the specific event and budget, and transmit the coordinate to the terminal; means for displaying the coordinates received by the terminal to the user; means for transmitting purchase information of the item selected by the user to the server, and for the server to check the inventory of the item and execute the purchase procedure; means for transmitting information indicating that the purchase procedure has been completed to the terminal and displaying the purchase confirmation information to the user; A system including:

2. 2. The system according to claim 1, wherein the server has means for combining products of a plurality of brands in generating the coordinated outfits.

3. The system according to claim 1 , wherein the terminal has a means for displaying visually recognizable product images in the coordination proposal.

Images