System

Abstract

A system is provided.SOLUTION: A system, comprising: means for selecting favorite coordination of a user; means for inputting basic information of the user; means for uploading a whole body picture of the user; means for generating a synthetic image based on the uploaded whole body picture and the favorite coordination information of the user; means for acquiring information of a used item based on the generated synthetic image; means for acquiring a purchase link related to the acquired information of the item from an online store; and means for displaying the synthetic image and the purchase link on a user terminal.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In the past, when users wanted to find clothes that suited them, they had to repeatedly try on clothes in stores or choose from a huge selection of items on online stores, which took a lot of time and effort. Furthermore, it was difficult to find a coordinate that matched their tastes and body type, making it difficult to make a purchase decision quickly. These problems made buying clothes a hassle for many users. [Means for solving the problem]

[0005] To solve the above problems, the present invention provides the following means: a means for the user to select a preferred outfit, a means for inputting the user's basic information, and a means for uploading the user's full-body photo. Furthermore, the present invention proposes a system including a generating means for generating a composite image based on the uploaded full-body photo and the user's preferred outfit information, a means for acquiring information on items used based on the generated composite image, a means for acquiring purchase links related to the acquired item information from an online store, and a means for displaying the composite image and purchase links on the user's terminal. This system allows users to quickly find outfits that suit them and simplifies the process leading up to the purchase decision.

[0006] "Means for allowing a user to select a preferred outfit" refers to an interface and associated software that allows a user to select a style that suits them from among multiple outfit images.

[0007] "Means for inputting basic user information" refers to a form for inputting information such as the user's age, gender, and body type, and the associated data input system.

[0008] "Means for uploading a user's full-body photo" refers to an interface and associated file receiving system that allows a user to upload a full-body photo of themselves to the system.

[0009] "Generation means" refers to an image processing technique and its execution environment for generating a composite image based on a user's full-body photograph and coordination information.

[0010] "Means for obtaining information about the items used" refers to analysis and search technology for recognizing each item included in the generated composite image and obtaining detailed information about it from a database.

[0011] "Means for obtaining a purchase link from an online store" refers to an API and its linked system for obtaining a purchase link for the relevant product from the corresponding online store based on the obtained item information.

[0012] "Means for displaying" refers to a user interface and associated display system that allows a user to visually view the generated composite image and associated purchase links. [Brief explanation of the drawings]

[0013] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0014] 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.

[0015] First, the terms used in the following description will be explained.

[0016] 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).

[0017] 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.

[0018] 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.

[0019] 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.

[0020] 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."

[0021] [First embodiment]

[0022] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0023] 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.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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.

[0029] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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."

[0034] The present invention is a system that allows users to quickly find outfits that suit them and make purchasing decisions easier. This system allows users to select their preferred outfits, enter basic information, and upload a full-body photo of themselves, and based on this, a generative AI generates a composite image and provides purchase links for related items. We will now explain how the present invention is specifically implemented.

[0035] System configuration

[0036] 1. User terminal: A device operated by a user (such as a smartphone or PC). It provides an input interface and communicates with the server.

[0037] 2. Server: A central processing computer system that receives user input, works with the generative AI to generate a synthetic image, and provides a purchase link.

[0038] 3. Generative AI: An artificial intelligence system that synthesizes images. It processes outfits onto a user's full-body photo.

[0039] Program processing explanation

[0040] 1. Displaying the initial screen

[0041] The user terminal displays an interface on the initial screen that allows the user to select a preferred outfit. On this screen, multiple outfit images are displayed as a list, from which the user can select a preferred style.

[0042] 2. Enter basic information

[0043] The user's device displays a form for the user to enter basic information such as age, gender, and body type. The user enters the required information and proceeds to the next step.

[0044] 3. Upload a full-body photo

[0045] The user terminal provides an interface for the user to upload his / her own full-body photo, and the user selects a file and uploads the full-body photo.

[0046] 4. Transmission of Information

[0047] The user's device sends their preferred outfit, basic information, and a full-body photo to the server, which then begins processing based on the received information.

[0048] 5. Synthetic Image Generation Using Generative AI

[0049] The server sends the received information to the generation AI, which synthesizes the selected outfit based on the user's full-body photo. The generation AI then performs the synthesis process and generates an image that combines the outfit with the user's full-body photo.

[0050] 6. Obtaining item information

[0051] Once the composite image is generated, the server analyzes it to obtain information about the items used, and based on that information, retrieves product details and a purchase link from the online store.

[0052] 7. Displaying the results

[0053] The user's device displays the composite image and the purchase link for the item received from the server. The user can check the composite image displayed and purchase the item they like by accessing the online store using the purchase link.

[0054] Specific examples

[0055] For example, suppose a user selects that they prefer a "casual style," enters their age (25), gender (female), and body type (slim), and uploads a full-body photo of themselves. The server receives this information and requests the generation AI to composite "casual style" clothing into the full-body photo. The generated image includes a casual shirt, denim pants, sneakers, etc. Based on this image, the server obtains item information and provides purchase links for, for example, "Shirt: Online Store A," "Denim Pants: Online Store B," and "Sneakers: Online Store C." The user can view the composite image on the screen and click the purchase link for the item they like to purchase from the online store.

[0056] In this way, the system of the present invention provides an environment in which users can quickly find clothes that suit them and easily purchase them.

[0057] The processing flow will be explained below.

[0058] Step 1:

[0059] The user terminal displays an initial screen, which displays a list of multiple outfit images. The user can select a style they like from these images.

[0060] Step 2:

[0061] The user selects a coordinated image of their choice, and the selected image is sent from the user terminal to the server.

[0062] Step 3:

[0063] The user terminal displays a basic information input form for the user, which includes items such as "age," "gender," and "body type."

[0064] Step 4:

[0065] The user enters basic information and clicks a button to proceed to the next step. The entered information is sent from the user terminal to the server.

[0066] Step 5:

[0067] The user's device displays the full-body photo upload interface. The user selects a photo from the file selection dialog and clicks the upload button.

[0068] Step 6:

[0069] A full-body photo is uploaded and sent from the user's device to the server, which then receives the user's preferred outfit, basic information, and full-body photo all at once.

[0070] Step 7:

[0071] Based on the information received, the server sends an image synthesis request to the generation AI, which includes the user's full-body photo and selected outfit information.

[0072] Step 8:

[0073] The AI ​​generates a composite image using the user's full-body photo and the selected outfit information, and the generated composite image is sent back to the server.

[0074] Step 9:

[0075] The server receives the composite image, which is then analyzed by the server to identify information about the item used.

[0076] Step 10:

[0077] For each identified item, the server uses the online store's API to retrieve details and a purchase link.

[0078] Step 11:

[0079] The server transmits the composite image and a link to purchase the item to the user terminal.

[0080] Step 12:

[0081] The user's device displays the composite image and a link to purchase the item. The user can click the link provided to purchase the item from the online store.

[0082] In this way, specific processing is performed at each step, and the system allows users to quickly find and purchase outfits that suit them.

[0083] Example 1

[0084] 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."

[0085] In today's online shopping environment, there is a demand for an environment that allows users to quickly and easily find outfits that suit them and make purchasing decisions. However, conventional methods require users to individually select items, then combine and check them, which is time-consuming, and it is difficult for them to visually visualize an outfit that suits them. Furthermore, the process of efficiently obtaining items related to the outfit a user has selected and actually purchasing them is complicated, so there is a demand for a system that streamlines and automates this process.

[0086] 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.

[0087] In this invention, the server includes means for a user to select a preferred outfit, means for inputting user attribute information, means for uploading a full-body image of the user, means for generating a composite image based on the uploaded full-body image and the user's preferred outfit information, means for acquiring information on items used based on the generated composite image, means for acquiring purchase links related to the acquired item information from a communication network, and means for displaying the composite image and purchase links on a user terminal, thereby enabling a user to easily find a coordinated outfit that suits them and then quickly and efficiently purchase related products.

[0088] A "user terminal" is an information processing device operated by a user, and includes devices such as a smartphone and a personal computer.

[0089] The "server" is a computer system that performs central processing, processes data received from user terminals, and returns the generated composite image and purchase link.

[0090] "Attribute information" refers to basic information about a user, including age, gender, body type, and the like.

[0091] "Full-body image" refers to a digital image of the user's entire body that the system uses for analysis.

[0092] "Outfit" refers to the coordination selected by the user, and is style information including the combination of clothing and accessories.

[0093] "Generating means" refers to a means for executing a process for generating a composite image based on uploaded full-body images and outfit information.

[0094] "Item" refers to an individual item contained within a composite image, including tangible goods such as clothing or accessories.

[0095] "Communications network" refers to an infrastructure for transmitting digital information, such as the Internet.

[0096] "Purchase Link" refers to a web link that allows a user to purchase a product directly from an online store based on the information provided by the system.

[0097] This invention is a system that allows users to quickly find outfits that suit them and make purchasing decisions easier. This system allows users to select their preferred outfits, enter attribute information, and upload a full-body image, and based on this, a generative AI generates a composite image and provides purchasing links for related items.

[0098] First, the user terminal is implemented using a smartphone, personal computer, etc. An interface is displayed on the user terminal, and the user selects their preferred outfit. Also, on the same interface, the user can enter their own attribute information (age, gender, body type, etc.) and upload a full-body image.

[0099] The uploaded full-body image and the outfit information selected by the user are sent from the user's device to the server. The server receives this data and sends it to the generative AI, which starts the process of generating a synthetic image. The generative AI model generates the synthetic image using, for example, deep learning technology. The following is an example of a prompt sentence that can be used:

[0100] "Please composite a full-body photo of a 25-year-old female with a slim build wearing casual clothing."

[0101] After the generative AI model generates the synthetic image, the server receives the synthetic image and then extracts information about the items used in the synthetic image. The information about the items is specific items such as a shirt, denim pants, or sneakers. The server uses this information to obtain a purchase link associated with each item from an online store. The obtained purchase link is then sent to the user's device.

[0102] Finally, the user's device displays the composite image and associated purchase links to the user. The user can review the composite image generated on this screen, click the purchase link for the item they like, and purchase it directly from the online store. This process allows users to easily find an outfit that suits them and quickly and efficiently purchase related products.

[0103] This system greatly improves the convenience of online shopping by allowing users to visually check which clothes suit them best and make purchasing decisions quickly.

[0104] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0105] Step 1:

[0106] The user terminal displays an interface on an initial screen that allows the user to select a preferred outfit.

[0107] Input: Initial screen image data

[0108] Output: User selects their preferred outfit

[0109] Specifically, the user terminal displays a list of multiple coordinated outfit images, and the user selects a style they like by clicking on it.

[0110] Step 2:

[0111] The user terminal displays a form that prompts the user to input attribute information.

[0112] Input: Attribute information such as age, gender, and body type

[0113] Output: Input attribute information data

[0114] Specifically, information is entered in the form of a list box or radio buttons, and the information is confirmed when the user clicks a confirmation button.

[0115] Step 3:

[0116] The user terminal provides an interface that allows the user to upload a full-body image.

[0117] Input: User's full-body image file

[0118] Output: Uploaded whole-body image data

[0119] Specifically, a file selection button is displayed, and the user selects a full-body image from the local disk and uploads it. Clicking the upload button confirms the data.

[0120] Step 4:

[0121] The user terminal transmits the preferred outfit, attribute information, and a full-body image to the server.

[0122] Input: Preferred outfit, attribute information, uploaded full-body image data

[0123] Output: User data sent to the server

[0124] Specifically, the form contents and the uploaded image are sent together to the server as a POST request.

[0125] Step 5:

[0126] The server receives the user data and sends it to the generating AI.

[0127] Input: Preferred outfit, attribute information, full-body image data

[0128] Output: Request data to the generation AI

[0129] Specifically, it validates the incoming data, creates an API request to the generative AI model, and sends it along with a prompt. An example of the prompt is, "Please combine a full-body photo of a 25-year-old woman with a slim build and casual clothing."

[0130] Step 6:

[0131] Generative AI generates a synthetic image.

[0132] Input: Request data and prompt for the generated AI

[0133] Output: Composite image data

[0134] Specifically, the generative AI model uses deep learning techniques to generate a synthetic image and then sends the generated image back to the server.

[0135] Step 7:

[0136] A server receives the composite image and extracts the item information.

[0137] Input: Synthetic image data

[0138] Output: Product information data

[0139] Specifically, the composite image is passed through an image analysis algorithm to identify the type and brand of item used.

[0140] Step 8:

[0141] The server acquires a purchase link from the online store based on the extracted product information.

[0142] Input: Product information data

[0143] Output: Purchase link data

[0144] Specifically, it uses the online store's API to retrieve detailed information and purchase links for each item.

[0145] Step 9:

[0146] The server transmits the composite image and the purchase link to the user terminal.

[0147] Input: Composite image data, purchase link data

[0148] Output: Composite image and purchase link data sent to user device

[0149] Specifically, the system creates JSON data containing the generated composite image and a purchase link for each item, and sends it to the user's device.

[0150] Step 10:

[0151] The user terminal displays the composite image and the purchase link to the user.

[0152] Input: Composite image and purchase link data sent from the server

[0153] Output: A composite image and a purchase link shown to the user

[0154] Specifically, the system displays the composite image and purchase links for each item on the screen, and the user can review them, click on the item they like, and purchase it from the online store.

[0155] (Application example 1)

[0156] 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."

[0157] With the recent increase in online shopping, it has become increasingly important for users to quickly find outfits that suit them. However, it is difficult to find clothes and styles that suit them without actually trying them on, making purchasing decisions difficult. To solve this problem, a system is needed that allows users to try on outfits in real time in a virtual environment and provides specific purchasing links based on the synthesized images.

[0158] 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.

[0159] In this invention, the server includes means for the user to select a preferred style, means for inputting basic information about the user, means for uploading a full-body image of the user, means for generating a composite image based on the uploaded full-body image and the user's preferred style information, means for acquiring information about components used based on the generated composite image, means for acquiring a purchase link related to the acquired information about the components from an online sales site, means for displaying the composite image and the purchase link on a display device, and means for trying on the user's selected outfit in real time within a virtual environment, thereby enabling the user to easily find a style that suits them and make a purchasing decision.

[0160] "User" refers to an individual or corporation that uses the system.

[0161] "Preferred style" refers to the fashion and coordination that the user selects and thinks suits them.

[0162] "Basic information" refers to personal information such as the user's age, gender, height, and body type.

[0163] "Full-body image" refers to a photograph or image that shows the user's entire body.

[0164] "Generation method" refers to the technology that uses generative AI to create a composite image based on an uploaded full-body image and the user's preferred style information.

[0165] "Components" refer to the fashion items and accessories used in the composite image.

[0166] The "means for acquiring" refers to a technology for acquiring information about components and related purchase links from an online sales site based on the generated composite image.

[0167] "Display device" refers to a device for displaying a composite image and a purchase link on a user terminal.

[0168] "Virtual environment" refers to an environment in which users can operate the system and try out coordination within a virtual reality space.

[0169] "Means for trying on clothes in real time" refers to technology that allows users to immediately check their selected outfits in a virtual environment.

[0170] MODE FOR CARRYING OUT THE INVENTION

[0171] The present invention is a system that allows users to quickly find outfits that suit them and make purchasing decisions easily. This system allows users to try on outfits in real time in a virtual environment and provides specific purchase links based on the synthesized images. The following describes how the present invention is specifically implemented.

[0172] System configuration

[0173] 1. User Device: A device operated by the user, such as smart glasses or a head-mounted display (HMD), allows the user to walk around the shopping mall in a virtual environment and select outfits.

[0174] 2. Display device: A device that displays the composite image and purchase links on the user's terminal.

[0175] 3. Server: A central processing computer system that receives user input, works with the generative AI to generate a synthetic image, and provides a purchase link.

[0176] 4. Generative AI: An artificial intelligence system that synthesizes images and synthesizes selected outfits based on the user's full-body image.

[0177] Program processing description

[0178] 1. Displaying the initial screen

[0179] The user terminal displays an interface on the initial screen that allows the user to select a preferred style. This screen displays a list of multiple styles that can be used in the virtual shopping mall, allowing the user to choose their preferred style from multiple coordinations.

[0180] 2. Enter basic information

[0181] The user terminal displays a form for the user to enter basic information such as age, gender, body type, etc. The user enters the required information and proceeds to the next step.

[0182] 3. Upload a full-body photo

[0183] The user terminal provides an interface for the user to upload a full-body photo of themselves, and once the user uploads the full-body photo, the information is sent to the server.

[0184] 4. Synthetic image generation using generative AI

[0185] The server sends the received information to the generation AI, which synthesizes the selected style based on the user's full-body photo. The generation AI then performs the synthesis process and generates an image that combines the selected outfit with the user's full-body photo.

[0186] 5. Get a purchase link

[0187] Once the composite image is generated, the server analyzes the image to obtain information about the components used, and based on the obtained components, retrieves product details and purchase links from online retailers.

[0188] 6. Displaying the results

[0189] The user terminal displays the composite image and the purchase links for the components received from the server. The user can check the composite image displayed and purchase the items they like by accessing the online store via the purchase links.

[0190] Hardware and software used

[0191] Hardware: VR headsets such as Oculus Quest 2 and HTC Vive

[0192] Software: VR SDK (a software development kit that includes virtual environment settings and UI), Generative AI Model SDK (an AI model for image synthesis)

[0193] Data processing and calculation

[0194] Initialize the runtime environment: Initialize the VR environment and user interface. Download multiple style images that the user can select and display them on the initial screen.

[0195] Collecting user information: Collect basic information such as age, gender, body type, and full-body images from users.

[0196] Synthetic image generation: Using collected user information and a full-body image, generative AI is used to emulate how the selected style would look on the user.

[0197] Analysis and display of purchase links: The generated composite image is analyzed to obtain purchase links for the fashion items used and display them to the user.

[0198] Specific examples

[0199] For example, consider a scenario where a user selects "chic style," inputs their age (30), gender (male), and build (athletic), and uploads a full-body image. Generative AI uses this information to synthesize a chic style outfit (dark suit, colored shirt, and leather shoes) into the full-body photo. This image is displayed in real time on the user's avatar in the VR environment, and additionally provides purchasing links for "Suit: Online Store," "Shirt: Online Store," and "Leather Shoes: Online Store."

[0200] Example prompts for generative AI models

[0201] "Prompt to generate a composite image of a slim 25-year-old female wearing a casual outfit, including a casual shirt, denim pants, and sneakers, based on the provided full-body photo."

[0202] In this way, the system of the present invention provides a real-time try-on experience in a virtual environment, allowing users to easily enjoy shopping.

[0203] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0204] Step 1:

[0205] The user terminal displays an initial screen. The user terminal provides an interface that displays a list of multiple styles that can be used in the virtual shopping mall. The input is the user's preferred style candidates, and the output is a list of selectable style images. The user selects their preferred style from this list.

[0206] Step 2:

[0207] The user terminal displays a form for inputting basic information such as age, gender, and body type. The input is the user's basic information, and the output is basic information data for proceeding to the next step. In this step, a form for the user to input their own basic information is displayed.

[0208] Step 3:

[0209] The user terminal provides an interface for uploading a full-body photo. The input is the full-body photo uploaded by the user, and the output is the uploaded full-body photo data. In this step, the user selects their own full-body photo and uploads it to the system.

[0210] Step 4:

[0211] The server receives the preferred style, basic information, and full-body photo sent from the user's device. The input is the user's preferred style, basic information, and full-body photo, and the output is the user data for proceeding to the next step. Based on this data, the server prepares to request processing from the generation AI.

[0212] Step 5:

[0213] The server sends the user's full-body photo and preferred style information to the generation AI and requests it to generate a composite image. The input is the user's full-body photo and preferred style information, and the output is the generated composite image. The generation AI generates an image that combines the selected style based on the full-body photo.

[0214] Step 6:

[0215] The server analyzes the generated composite image and obtains information about the components used. The input is the generated composite image, and the output is information about the components used. The composite image is analyzed using image recognition technology to identify each component.

[0216] Step 7:

[0217] The server retrieves purchase links related to components from an online sales site. The input is component information, and the output is a purchase link corresponding to each component. This allows users to quickly access the purchase link.

[0218] Step 8:

[0219] The user terminal displays the composite image and purchase link received from the server. The input is the composite image and purchase link, and the output is a screen displayed to the user. The user can check the composite image on this screen and purchase the item they like.

[0220] Step 9:

[0221] The user terminal allows the user to try on the style selected by the user in real time within a virtual environment. The input is the preferred style and a full-body photo, and the output is a real-time try-on experience within the virtual environment. The user can experience the outfits in the virtual space through the HMD.

[0222] 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.

[0223] This invention provides a system that recognizes a user's emotions and suggests the most suitable outfits for the user based on those emotions. Specifically, the system allows users to select their preferred outfits, enter basic information, and upload a full-body photo of themselves. Based on this, a generative AI generates a composite image and provides links to purchase related items. Furthermore, an emotion engine that recognizes the user's emotions is incorporated, and outfit suggestions are made based on the user's emotions.

[0224] System configuration

[0225] 1. User terminal: A device operated by a user (such as a smartphone or PC). It provides an input interface and communicates with the server.

[0226] 2. Server: A central processing computer system that receives user input, works with the generative AI to generate synthetic images, provides purchase links, and analyzes user emotions using an emotion engine.

[0227] 3. Generative AI: An artificial intelligence system that synthesizes images. It processes outfits onto a user's full-body photo.

[0228] 4. Emotion Engine: An artificial intelligence system that recognizes the user's emotions and adjusts its outfit suggestions accordingly.

[0229] Program processing explanation

[0230] 1. Displaying the initial screen

[0231] The user terminal displays an interface on the initial screen that allows the user to select a preferred outfit. On this screen, multiple outfit images are displayed as a list, from which the user can select a preferred style.

[0232] 2. Enter basic information

[0233] The user's device displays a form for the user to enter basic information such as age, gender, and body type. The user enters the required information and proceeds to the next step.

[0234] 3. Upload a full-body photo

[0235] The user terminal provides an interface for the user to upload his / her own full-body photo, and the user selects a file and uploads the full-body photo.

[0236] 4. Emotional Recognition

[0237] The user device captures the user's facial expressions with a camera, and the emotion engine recognizes the emotion from the captured images. This information is also sent to the server.

[0238] 5. Transmission of Information

[0239] The user's preferred outfits, basic information, a full-body photo, and the recognized emotions are sent to the server, which then begins processing based on the received information.

[0240] 6. Synthetic Image Generation Using Generative AI

[0241] The server sends the received information to the generation AI, which synthesizes the selected outfit based on the user's full-body photo. The generation AI then performs the synthesis process and generates an image that combines the outfit with the user's full-body photo.

[0242] 7. Adjusting suggestions based on emotions

[0243] The server then tailors the generated outfit suggestions based on the perceived emotion, suggesting bright colors and relaxing styles if the user is feeling down, for example.

[0244] 8. Obtaining Item Information

[0245] Once the composite image is generated, the server analyzes it to obtain information about the items used, and based on that information, retrieves product details and a purchase link from the online store.

[0246] 9. Displaying the results

[0247] The user's device displays the composite image and the purchase link for the item received from the server. The user can check the composite image displayed and purchase the item they like by accessing the online store using the purchase link.

[0248] Specific examples

[0249] For example, suppose a user selects "Simple Style," enters information such as age 30, gender male, and average build, and uploads a full-body photo of themselves. In addition, the emotion engine recognizes that the user's facial expression captured by the camera on the user's device indicates that they look "tired." The server receives this information and requests the generation AI to composite "Simple Style" clothing onto the full-body photo. The generated image includes a simple shirt, chinos, loafers, etc. The server obtains item information based on this image and provides purchase links for "Shirt: Online Store A," "Chinos: Online Store B," and "Loafers: Online Store C." The user can view the composite image on the screen and click the purchase link for the item they like to purchase from the online store.

[0250] The server can also tailor suggestions for relaxing, casual styles based on the user's perceived "tired" emotion. In this way, the system of the present invention provides an environment in which users can quickly find and easily purchase outfits that reflect their emotions and preferences.

[0251] The processing flow will be explained below.

[0252] Step 1:

[0253] The user terminal displays an initial screen, which displays a list of multiple coordinated outfit images. The user can then select their preferred style from these images.

[0254] Step 2:

[0255] The user selects the coordinated image of their choice. Once the selection is complete, the information is sent from the user terminal to the server.

[0256] Step 3:

[0257] The user terminal displays a basic information input form to the user, which includes input fields for "age," "gender," and "body type."

[0258] Step 4:

[0259] The user enters basic information and clicks the send button when they are finished. The entered basic information is sent from the user terminal to the server.

[0260] Step 5:

[0261] The user terminal displays the full-body photo upload interface, and the user selects his / her own full-body photo and clicks the upload button.

[0262] Step 6:

[0263] A full-body photo of the user is uploaded and sent to the server via the user's device. The server receives the user's preferred outfits, basic information, and the full-body photo.

[0264] Step 7:

[0265] The user device activates the camera and captures the user's facial expressions. The emotion engine analyzes the captured facial data and recognizes the emotion.

[0266] Step 8:

[0267] The emotion data recognized by the emotion engine is also sent to the server, which then begins processing based on this information.

[0268] Step 9:

[0269] The server sends the received information to the generation AI. The request includes a full-body photo of the user, their preferred outfits, and the recognized emotion.

[0270] Step 10:

[0271] The AI ​​generates a composite image using the user's full-body photo and the selected outfit information, and the generated composite image is sent back to the server.

[0272] Step 11:

[0273] The server receives the synthesized image and adjusts the suggestions based on the perceived emotion. For example, if the user is perceived as "tired," it will prioritize suggestions for items that promote relaxation.

[0274] Step 12:

[0275] The server analyzes the composite image and obtains information about the item used. Based on the obtained item information, the server uses the online store's API to obtain detailed information and a purchase link.

[0276] Step 13:

[0277] The server transmits the synthetic image and a purchasing link for the associated item to the user terminal.

[0278] Step 14:

[0279] The user's device displays the composite image and a link to purchase the item. By clicking the link, the user can access the online store and purchase the item.

[0280] As a specific example, suppose a user selects "casual style," enters information such as age 25, gender female, and slim build, and uploads a full-body photo of themselves. Furthermore, if the emotion engine recognizes the user's facial expression as "having fun," the server will use this information to request a generation AI to synthesize "casual style" clothing. The generated image includes a light-colored shirt, denim pants, and sneakers. Based on this image, the server obtains item information and provides purchase links for "shirt: online store A," "denim pants: online store B," and "sneakers: online store C." The user can view the synthesized image on the screen and purchase items they like from the online stores.

[0281] Example 2

[0282] 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."

[0283] Conventional outfit suggestion systems do not consider the user's emotions when proposing outfits, making it difficult to provide optimal suggestions that reflect the user's psychological state. Furthermore, there are limited ways for users to try on outfits using their own photos, making it difficult for these systems to lead to actual purchasing behavior.

[0284] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for the user to select a preferred outfit, a means for inputting the user's basic information, a means for uploading the user's full-body photo, a means for capturing the user's facial expression and recognizing the emotion, a generating means for generating a composite image based on the uploaded full-body photo and the user's preferred outfit information, a means for adjusting the outfit suggestion content based on the recognized emotion, a means for acquiring information on the items used based on the generated composite image, a means for acquiring a purchase link related to the acquired item information from an online store, and a means for displaying the composite image and the purchase link on the user terminal. This enables optimal outfit suggestions that take the user's emotions and preferences into consideration, and effectively guides the user to actual purchasing behavior.

[0285] definition statement

[0286] The "means for the user to select a preferred coordination" is a function that provides an interface for the user to select a preferred style from among a number of coordinations.

[0287] "Means for inputting basic user information" is a function that provides a form for users to input basic information such as their age, sex, and body type.

[0288] The "means for uploading a user's full-body photo" is a function that provides an interface for a user to upload their own full-body photo to the system.

[0289] "Means for capturing the user's facial expressions and recognizing their emotions" refers to a function that captures the user's facial expressions with a camera and analyzes their emotions from those expressions.

[0290] The "generation means" is a function that generates a composite image based on a full-body photograph of the user and selected coordinate information.

[0291] The "means for adjusting the contents of the coordinate suggestion based on the recognized emotion" is a function for taking the emotion of the user into consideration and suggesting the most suitable coordinate to the user.

[0292] The "means for acquiring information on the items used" is a function for acquiring detailed information on the fashion items used in the composite image.

[0293] The "means for obtaining a purchase link from an online store" is a function for obtaining a link to an online store where an item can be purchased based on the obtained item information.

[0294] The "means for displaying the composite image and the purchase link on the user terminal" is a function for displaying the generated composite image and the associated purchase link on the screen of the terminal used by the user.

[0295] MODE FOR CARRYING OUT THE INVENTION

[0296] This invention provides a system that recognizes a user's emotions and suggests optimal outfits for the user based on those emotions. This system is composed of the following elements: a user terminal operated by the user, a central processing server, a generation AI, and an emotion engine.

[0297] User terminal

[0298] A user terminal is a device (such as a smartphone or PC) operated by a user. The user terminal provides an interface that allows the user to input outfit selections, input basic information, and upload a full-body photo.

[0299] server

[0300] The server is a central processing computer system that receives information sent by the user (coordinate selection, basic information, full-body photo, and recognized emotion) and performs the following processes.

[0301] The data is sent to the generation AI, which generates a composite image that combines the selected outfit with the user's full-body photo.

[0302] The coordinated outfit suggestions are adjusted based on the user's emotions recognized by the emotion engine.

[0303] Information on the item used is obtained from the composite image, and a related purchase link is obtained from the online store.

[0304] Generation AI

[0305] Generative AI is an artificial intelligence system that generates composite images based on a user's full-body photo and selected outfit information. Generative AI uses advanced image processing technology to generate realistic composite images.

[0306] Emotion Engine

[0307] The emotion engine is an AI system that captures the user's facial expressions and recognizes their emotions from them. The recognized emotions are sent to the server and used to adjust the outfit suggestions.

[0308] Specific examples

[0309] For example, suppose a user selects "Simple Style" and enters information such as age 30, gender male, and average build. Furthermore, the emotion engine recognizes that the user looks "tired" from the user's facial expression captured by the camera on the user's device. The server receives this information and requests the generation AI to composite "Simple Style" clothing into a full-body photo. The generated image includes a simple shirt, chinos, loafers, etc. Based on this image, the server obtains item information and provides purchase links for "Shirt: Online Store A," "Chinos: Online Store B," and "Loafers: Online Store C." The user can then view the composite image on the screen and click the purchase link for the item they like to purchase from the online store.

[0310] Furthermore, the server can adjust the proposal of a relaxed, casual style based on the recognized emotion of "feeling tired." The system of the present invention provides an environment in which a user can quickly find and easily purchase outfits that reflect their emotions and preferences.

[0311] Prompt Sentence Examples

[0312] "The user is a 30-year-old male, has selected Simple Style as his preferred style, and has uploaded a full-body photo. He is feeling tired. Display a composite image generated based on these conditions, and generate and display purchase links for related items."

[0313] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0314] Program processing flow

[0315] Step 1: Displaying the initial screen

[0316] The device displays an interface on the initial screen that allows the user to select an outfit. Specifically, multiple outfit images are displayed as a list, and the user can choose their preferred style from these. The user's input is output as the selected outfit information.

[0317] Step 2: Enter basic information

[0318] The device displays a form for the user to enter basic information such as age, gender, and body type. The user enters the required information and proceeds to the next step. The entered information is output as the user's basic information.

[0319] Step 3: Upload a full-body photo

[0320] The device provides an interface for users to upload their full-body photo. The user selects a file and uploads the full-body photo. The uploaded photo is sent to the server and output as the user's full-body photo.

[0321] Step 4: Recognize emotions

[0322] The device camera captures the user's facial expression, and the emotion engine recognizes the emotion from the facial expression. The input of the emotion recognition is the user's facial expression data, and the output is the recognized emotion information. The emotion information is sent to the server.

[0323] Step 5: Submit your information

[0324] The device sends the user's selected outfit, basic information, a full-body photo, and the recognized emotion to a server, where the information is integrated and used as input data for the generative AI.

[0325] Step 6: Generate synthetic images using generative AI

[0326] The server sends the received information (coordinates, basic information, full-body photo, and emotions) to the generation AI, which synthesizes the selected coordinates based on the user's full-body photo. The generation AI processes this input data and generates a composite image. The generated composite image is then returned to the server.

[0327] Step 7: Adjust your suggestions based on emotions

[0328] The server then adjusts the generated outfit suggestions based on the user's recognized emotions. For example, if the user is feeling depressed, it will suggest bright colors and relaxing styles. The server then reconstructs the outfit suggestions based on the user's emotional information and outputs optimized suggestions.

[0329] Step 8: Get Item Information

[0330] The server analyzes the composite image and extracts information about the item used, using image recognition technology, which is then output along with a link to the online store where the item can be purchased.

[0331] Step 9: View the results

[0332] The device displays the composite image received from the server along with a link to purchase the item. The user can check the composite image and click the purchase link to purchase the item they like from the online store. The user's operation triggers an actual purchase, and the purchase data is output.

[0333] (Application example 2)

[0334] 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."

[0335] Today's consumers often find it difficult to quickly find fashion that suits their individual sensibilities and moods. Furthermore, online shopping experiences lack a way to receive outfit suggestions that match a user's emotions and then instantly purchase them. Conventional systems are inadequate in providing outfit suggestions or specific purchasing links that match a user's emotions. Therefore, providing a satisfying online shopping experience for users is a challenge.

[0336] The identification process by the identification 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 a means for the user to select a preferred outfit, a means for inputting the user's basic information, a means for uploading the user's full-body photo, a means for recognizing the user's emotions, a generating means for generating a composite image based on the uploaded full-body photo, the user's preferred outfit information, and the recognized emotions, a means for acquiring information on items used based on the generated composite image, a means for acquiring purchase links related to the acquired item information from an e-commerce site, and a means for displaying the composite image and purchase links on the user terminal. This makes it possible to analyze the user's emotions, suggest optimal outfits based on the analysis, and provide purchase links for related items.

[0337] "User" refers to an individual who uses the system to select outfits, enter information, and upload photos.

[0338] "Coordination" refers to a combination of clothing and accessories that suit the user's preferences.

[0339] "Basic information" is information including attributes such as the user's age, sex, and body type.

[0340] "Full-body photo" refers to image data that captures the user's entire body.

[0341] "Emotion" refers to the psychological state of the user as recognized from their facial expressions and actions.

[0342] "Generation means" refers to technology that generates a synthetic image based on an uploaded full-body photo, coordination information, and recognized emotions.

[0343] The term "composite image" refers to an image in which a selected outfit is combined with a full-body photograph of the user.

[0344] "Item information" refers to detailed information about the clothing and accessories used in the composite image.

[0345] "Purchase Link" is the URL of the online store related to the item information.

[0346] The following describes an embodiment of the present invention. This invention is a system that recognizes a user's emotions, suggests optimal outfits based on those emotions, and provides links to purchase related items. The main parts of the system consist of a user terminal, a server, and a generative AI model.

[0347] 1. User Device: A user device is a device such as a smartphone or tablet that provides an interface for users to select their preferred outfits, enter basic information, and upload a full-body photo. It also uses a camera to capture the user's facial expressions and recognize their emotions.

[0348] 2. Server: The server is a computer system responsible for central processing. It receives basic information, a full-body photo, preferred outfit information, and recognized emotions sent by the user, and then requests a generative AI model to generate a composite image based on this information. It also obtains information about the items used based on the composite image and retrieves purchasing links related to those items from e-commerce sites.

[0349] 3. Generative AI model: The generative AI model synthesizes the selected outfit with the user's full-body photo. The generated composite image is coordinated in accordance with the user's preferences and emotions.

[0350] 4. Emotion Engine: The emotion engine is an artificial intelligence system that recognizes emotions from the user's facial expressions. The recognized emotions are sent to the server and used to adjust the coordination suggestions.

[0351] 5. Sending and receiving information: The user terminal sends the information and image selected by the user to the server, and the generated composite image and the obtained purchase link are displayed on the user terminal.

[0352] As a specific example, a user selects "simple style," enters information such as age 30, gender male, and typical body type, and uploads a full-body photo of themselves. From the user's facial expression captured by the camera on the user's device, the emotion engine recognizes that the user looks "tired." The server receives this information and requests the generative AI model to composite "simple style" clothing onto the full-body photo. This image includes a simple shirt, chinos, loafers, etc. The server retrieves item information based on the generated composite image and provides purchase links for "shirt: online store A," "chinos: online store B," and "loafers: online store C."

[0353] An example of a prompt is as follows:

[0354] "A 30-year-old male with a normal build uploaded a full-body photo. The emotion engine recognized that he looked 'tired.' Please suggest some simple clothing styles."

[0355] This invention makes it possible to analyze a user's emotions, suggest optimal outfits based on the emotions, and provide links to purchase related items.

[0356] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0357] Step 1:

[0358] The user terminal displays the initial screen. The user operates the interface to select a preferred outfit. The selection results are input to the user terminal and saved as preferred outfit information.

[0359] Step 2:

[0360] The user terminal prompts the user to enter basic information such as age, gender, and body type, and this basic information is saved on the user terminal. The input information becomes the data used in the next processing step.

[0361] Step 3:

[0362] The user terminal provides an interface for the user to upload his / her full-body photo. The user selects a file and uploads the full-body photo. The uploaded full-body photo is saved in the user terminal.

[0363] Step 4:

[0364] The user's facial expression is captured using the camera of the user device, and the emotion engine recognizes the emotion from the facial expression. The recognized emotion is stored on the user device. The input of emotion recognition is the captured facial expression image, and the output is the recognized emotion data.

[0365] Step 5:

[0366] The user terminal transmits the user's preferred outfit information, basic information, a full-body photo, and the recognized emotion to the server, and all of this data is transferred to the server.

[0367] Step 6:

[0368] Based on the data received by the server, the information is sent to the generative AI model. The generative AI model analyzes the received data and generates an image that combines the user's full-body photo with the selected outfit. The input data is the full-body photo, outfit information, and emotion data, and the output is the combined image.

[0369] Step 7:

[0370] The server receives the synthetic image from the generative AI model. It identifies the items used in the synthetic image and obtains detailed information about the items. The server then obtains related purchase links from e-commerce sites based on the obtained item information. The input in this step is the synthetic image, and the output is detailed item information and purchase links.

[0371] Step 8:

[0372] The server sends the composite image, detailed information about the acquired item, and a purchase link to the user's device. The user's device receives this data and displays the composite image and a purchase link containing the product information. The user can check the displayed information and purchase the item of interest from the online store.

[0373] 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.

[0374] 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.

[0375] 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.

[0376] [Second embodiment]

[0377] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0378] 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.

[0379] 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).

[0380] 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.

[0381] 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.

[0382] 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).

[0383] 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.

[0384] 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.

[0385] 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.

[0386] 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.

[0387] 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.

[0388] 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."

[0389] The present invention is a system that allows users to quickly find outfits that suit them and make purchasing decisions easier. This system allows users to select their preferred outfits, enter basic information, and upload a full-body photo of themselves, and based on this, a generative AI generates a composite image and provides purchase links for related items. We will now explain how the present invention is specifically implemented.

[0390] System configuration

[0391] 1. User terminal: A device operated by a user (such as a smartphone or PC). It provides an input interface and communicates with the server.

[0392] 2. Server: A central processing computer system that receives user input, works with the generative AI to generate a synthetic image, and provides a purchase link.

[0393] 3. Generative AI: An artificial intelligence system that synthesizes images. It processes outfits onto a user's full-body photo.

[0394] Program processing explanation

[0395] 1. Displaying the initial screen

[0396] The user terminal displays an interface on the initial screen that allows the user to select a preferred outfit. On this screen, multiple outfit images are displayed as a list, from which the user can select a preferred style.

[0397] 2. Enter basic information

[0398] The user's device displays a form for the user to enter basic information such as age, gender, and body type. The user enters the required information and proceeds to the next step.

[0399] 3. Upload a full-body photo

[0400] The user terminal provides an interface for the user to upload his / her own full-body photo, and the user selects a file and uploads the full-body photo.

[0401] 4. Transmission of Information

[0402] The user's device sends their preferred outfit, basic information, and a full-body photo to the server, which then begins processing based on the received information.

[0403] 5. Synthetic Image Generation Using Generative AI

[0404] The server sends the received information to the generation AI, which synthesizes the selected outfit based on the user's full-body photo. The generation AI then performs the synthesis process and generates an image that combines the outfit with the user's full-body photo.

[0405] 6. Obtaining item information

[0406] Once the composite image is generated, the server analyzes it to obtain information about the items used, and based on that information, retrieves product details and a purchase link from the online store.

[0407] 7. Displaying the results

[0408] The user's device displays the composite image and the purchase link for the item received from the server. The user can check the composite image displayed and purchase the item they like by accessing the online store using the purchase link.

[0409] Specific examples

[0410] For example, suppose a user selects that they prefer a "casual style," enters their age (25), gender (female), and body type (slim), and uploads a full-body photo of themselves. The server receives this information and requests the generation AI to composite "casual style" clothing into the full-body photo. The generated image includes a casual shirt, denim pants, sneakers, etc. Based on this image, the server obtains item information and provides purchase links for, for example, "Shirt: Online Store A," "Denim Pants: Online Store B," and "Sneakers: Online Store C." The user can view the composite image on the screen and click the purchase link for the item they like to purchase from the online store.

[0411] In this way, the system of the present invention provides an environment in which users can quickly find clothes that suit them and easily purchase them.

[0412] The processing flow will be explained below.

[0413] Step 1:

[0414] The user terminal displays an initial screen, which displays a list of multiple outfit images. The user can select a style they like from these images.

[0415] Step 2:

[0416] The user selects a coordinated image of their choice, and the selected image is sent from the user terminal to the server.

[0417] Step 3:

[0418] The user terminal displays a basic information input form for the user, which includes items such as "age," "gender," and "body type."

[0419] Step 4:

[0420] The user enters basic information and clicks a button to proceed to the next step. The entered information is sent from the user terminal to the server.

[0421] Step 5:

[0422] The user's device displays the full-body photo upload interface. The user selects a photo from the file selection dialog and clicks the upload button.

[0423] Step 6:

[0424] A full-body photo is uploaded and sent from the user's device to the server, which then receives the user's preferred outfit, basic information, and full-body photo all at once.

[0425] Step 7:

[0426] Based on the information received, the server sends an image synthesis request to the generation AI, which includes the user's full-body photo and selected outfit information.

[0427] Step 8:

[0428] The AI ​​generates a composite image using the user's full-body photo and the selected outfit information, and the generated composite image is sent back to the server.

[0429] Step 9:

[0430] The server receives the composite image, which is then analyzed by the server to identify information about the item used.

[0431] Step 10:

[0432] For each identified item, the server uses the online store's API to retrieve details and a purchase link.

[0433] Step 11:

[0434] The server transmits the composite image and a link to purchase the item to the user terminal.

[0435] Step 12:

[0436] The user's device displays the composite image and a link to purchase the item. The user can click the link provided to purchase the item from the online store.

[0437] In this way, specific processing is performed at each step, and the system allows users to quickly find and purchase outfits that suit them.

[0438] Example 1

[0439] 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."

[0440] In today's online shopping environment, there is a demand for an environment that allows users to quickly and easily find outfits that suit them and make purchasing decisions. However, conventional methods require users to individually select items, then combine and check them, which is time-consuming, and it is difficult for them to visually visualize an outfit that suits them. Furthermore, the process of efficiently obtaining items related to the outfit a user has selected and actually purchasing them is complicated, so there is a demand for a system that streamlines and automates this process.

[0441] 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.

[0442] In this invention, the server includes means for a user to select a preferred outfit, means for inputting user attribute information, means for uploading a full-body image of the user, means for generating a composite image based on the uploaded full-body image and the user's preferred outfit information, means for acquiring information on items used based on the generated composite image, means for acquiring purchase links related to the acquired item information from a communication network, and means for displaying the composite image and purchase links on a user terminal, thereby enabling a user to easily find a coordinated outfit that suits them and then quickly and efficiently purchase related products.

[0443] A "user terminal" is an information processing device operated by a user, and includes devices such as a smartphone and a personal computer.

[0444] The "server" is a computer system that performs central processing, processes data received from user terminals, and returns the generated composite image and purchase link.

[0445] "Attribute information" refers to basic information about a user, including age, gender, body type, and the like.

[0446] "Full-body image" refers to a digital image of the user's entire body that the system uses for analysis.

[0447] "Outfit" refers to the coordination selected by the user, and is style information including the combination of clothing and accessories.

[0448] "Generating means" refers to a means for executing a process for generating a composite image based on uploaded full-body images and outfit information.

[0449] "Item" refers to an individual item contained within a composite image, including tangible goods such as clothing or accessories.

[0450] "Communications network" refers to an infrastructure for transmitting digital information, such as the Internet.

[0451] "Purchase Link" refers to a web link that allows a user to purchase a product directly from an online store based on the information provided by the system.

[0452] This invention is a system that allows users to quickly find outfits that suit them and make purchasing decisions easier. This system allows users to select their preferred outfits, enter attribute information, and upload a full-body image, and based on this, a generative AI generates a composite image and provides purchasing links for related items.

[0453] First, the user terminal is implemented using a smartphone, personal computer, etc. An interface is displayed on the user terminal, and the user selects their preferred outfit. Also, on the same interface, the user can enter their own attribute information (age, gender, body type, etc.) and upload a full-body image.

[0454] The uploaded full-body image and the outfit information selected by the user are sent from the user's device to the server. The server receives this data and sends it to the generative AI, which starts the process of generating a synthetic image. The generative AI model generates the synthetic image using, for example, deep learning technology. The following is an example of a prompt sentence that can be used:

[0455] "Please composite a full-body photo of a 25-year-old female with a slim build wearing casual clothing."

[0456] After the generative AI model generates the synthetic image, the server receives the synthetic image and then extracts information about the items used in the synthetic image. The information about the items is specific items such as a shirt, denim pants, or sneakers. The server uses this information to obtain a purchase link associated with each item from an online store. The obtained purchase link is then sent to the user's device.

[0457] Finally, the user's device displays the composite image and associated purchase links to the user. The user can review the composite image generated on this screen, click the purchase link for the item they like, and purchase it directly from the online store. This process allows users to easily find an outfit that suits them and quickly and efficiently purchase related products.

[0458] This system greatly improves the convenience of online shopping by allowing users to visually check which clothes suit them best and make purchasing decisions quickly.

[0459] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0460] Step 1:

[0461] The user terminal displays an interface on an initial screen that allows the user to select a preferred outfit.

[0462] Input: Initial screen image data

[0463] Output: User selects their preferred outfit

[0464] Specifically, the user terminal displays a list of multiple coordinated outfit images, and the user selects a style they like by clicking on it.

[0465] Step 2:

[0466] The user terminal displays a form that prompts the user to input attribute information.

[0467] Input: Attribute information such as age, gender, and body type

[0468] Output: Input attribute information data

[0469] Specifically, information is entered in the form of a list box or radio buttons, and the information is confirmed when the user clicks a confirmation button.

[0470] Step 3:

[0471] The user terminal provides an interface that allows the user to upload a full-body image.

[0472] Input: User's full-body image file

[0473] Output: Uploaded whole-body image data

[0474] Specifically, a file selection button is displayed, and the user selects a full-body image from the local disk and uploads it. Clicking the upload button confirms the data.

[0475] Step 4:

[0476] The user terminal transmits the preferred outfit, attribute information, and a full-body image to the server.

[0477] Input: Preferred outfit, attribute information, uploaded full-body image data

[0478] Output: User data sent to the server

[0479] Specifically, the form contents and the uploaded image are sent together to the server as a POST request.

[0480] Step 5:

[0481] The server receives the user data and sends it to the generating AI.

[0482] Input: Preferred outfit, attribute information, full-body image data

[0483] Output: Request data to the generation AI

[0484] Specifically, it validates the incoming data, creates an API request to the generative AI model, and sends it along with a prompt. An example of the prompt is, "Please combine a full-body photo of a 25-year-old woman with a slim build and casual clothing."

[0485] Step 6:

[0486] Generative AI generates a synthetic image.

[0487] Input: Request data and prompt for the generated AI

[0488] Output: Composite image data

[0489] Specifically, the generative AI model uses deep learning techniques to generate a synthetic image and then sends the generated image back to the server.

[0490] Step 7:

[0491] A server receives the composite image and extracts the item information.

[0492] Input: Synthetic image data

[0493] Output: Product information data

[0494] Specifically, the composite image is passed through an image analysis algorithm to identify the type and brand of item used.

[0495] Step 8:

[0496] The server acquires a purchase link from the online store based on the extracted product information.

[0497] Input: Product information data

[0498] Output: Purchase link data

[0499] Specifically, it uses the online store's API to retrieve detailed information and purchase links for each item.

[0500] Step 9:

[0501] The server transmits the composite image and the purchase link to the user terminal.

[0502] Input: Composite image data, purchase link data

[0503] Output: Composite image and purchase link data sent to user device

[0504] Specifically, the system creates JSON data containing the generated composite image and a purchase link for each item, and sends it to the user's device.

[0505] Step 10:

[0506] The user terminal displays the composite image and the purchase link to the user.

[0507] Input: Composite image and purchase link data sent from the server

[0508] Output: A composite image and a purchase link shown to the user

[0509] Specifically, the system displays the composite image and purchase links for each item on the screen, and the user can review them, click on the item they like, and purchase it from the online store.

[0510] (Application example 1)

[0511] 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."

[0512] With the recent increase in online shopping, it has become increasingly important for users to quickly find outfits that suit them. However, it is difficult to find clothes and styles that suit them without actually trying them on, making purchasing decisions difficult. To solve this problem, a system is needed that allows users to try on outfits in real time in a virtual environment and provides specific purchasing links based on the synthesized images.

[0513] 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.

[0514] In this invention, the server includes means for the user to select a preferred style, means for inputting basic information about the user, means for uploading a full-body image of the user, means for generating a composite image based on the uploaded full-body image and the user's preferred style information, means for acquiring information about components used based on the generated composite image, means for acquiring a purchase link related to the acquired information about the components from an online sales site, means for displaying the composite image and the purchase link on a display device, and means for trying on the user's selected outfit in real time within a virtual environment, thereby enabling the user to easily find a style that suits them and make a purchasing decision.

[0515] "User" refers to an individual or corporation that uses the system.

[0516] "Preferred style" refers to the fashion and coordination that the user selects and thinks suits them.

[0517] "Basic information" refers to personal information such as the user's age, gender, height, and body type.

[0518] "Full-body image" refers to a photograph or image that shows the user's entire body.

[0519] "Generation method" refers to the technology that uses generative AI to create a composite image based on an uploaded full-body image and the user's preferred style information.

[0520] "Components" refer to the fashion items and accessories used in the composite image.

[0521] The "means for acquiring" refers to a technology for acquiring information about components and related purchase links from an online sales site based on the generated composite image.

[0522] "Display device" refers to a device for displaying a composite image and a purchase link on a user terminal.

[0523] "Virtual environment" refers to an environment in which users can operate the system and try out coordination within a virtual reality space.

[0524] "Means for trying on clothes in real time" refers to technology that allows users to immediately check their selected outfits in a virtual environment.

[0525] MODE FOR CARRYING OUT THE INVENTION

[0526] The present invention is a system that allows users to quickly find outfits that suit them and make purchasing decisions easily. This system allows users to try on outfits in real time in a virtual environment and provides specific purchase links based on the synthesized images. The following describes how the present invention is specifically implemented.

[0527] System configuration

[0528] 1. User Device: A device operated by the user, such as smart glasses or a head-mounted display (HMD), allows the user to walk around the shopping mall in a virtual environment and select outfits.

[0529] 2. Display device: A device that displays the composite image and purchase links on the user's terminal.

[0530] 3. Server: A central processing computer system that receives user input, works with the generative AI to generate a synthetic image, and provides a purchase link.

[0531] 4. Generative AI: An artificial intelligence system that synthesizes images and synthesizes selected outfits based on the user's full-body image.

[0532] Program processing description

[0533] 1. Displaying the initial screen

[0534] The user terminal displays an interface on the initial screen that allows the user to select a preferred style. This screen displays a list of multiple styles that can be used in the virtual shopping mall, allowing the user to choose their preferred style from multiple coordinations.

[0535] 2. Enter basic information

[0536] The user terminal displays a form for the user to enter basic information such as age, gender, body type, etc. The user enters the required information and proceeds to the next step.

[0537] 3. Upload a full-body photo

[0538] The user terminal provides an interface for the user to upload a full-body photo of themselves, and once the user uploads the full-body photo, the information is sent to the server.

[0539] 4. Synthetic image generation using generative AI

[0540] The server sends the received information to the generation AI, which synthesizes the selected style based on the user's full-body photo. The generation AI then performs the synthesis process and generates an image that combines the selected outfit with the user's full-body photo.

[0541] 5. Get a purchase link

[0542] Once the composite image is generated, the server analyzes the image to obtain information about the components used, and based on the obtained components, retrieves product details and purchase links from online retailers.

[0543] 6. Displaying the results

[0544] The user terminal displays the composite image and the purchase links for the components received from the server. The user can check the composite image displayed and purchase the items they like by accessing the online store via the purchase links.

[0545] Hardware and software used

[0546] Hardware: VR headsets such as Oculus Quest 2 and HTC Vive

[0547] Software: VR SDK (a software development kit that includes virtual environment settings and UI), Generative AI Model SDK (an AI model for image synthesis)

[0548] Data processing and calculation

[0549] Initialize the runtime environment: Initialize the VR environment and user interface. Download multiple style images that the user can select and display them on the initial screen.

[0550] Collecting user information: Collect basic information such as age, gender, body type, and full-body images from users.

[0551] Synthetic image generation: Using collected user information and a full-body image, generative AI is used to emulate how the selected style would look on the user.

[0552] Analysis and display of purchase links: The generated composite image is analyzed to obtain purchase links for the fashion items used and display them to the user.

[0553] Specific examples

[0554] For example, consider a scenario where a user selects "chic style," inputs their age (30), gender (male), and build (athletic), and uploads a full-body image. Generative AI uses this information to synthesize a chic style outfit (dark suit, colored shirt, and leather shoes) into the full-body photo. This image is displayed in real time on the user's avatar in the VR environment, and additionally provides purchasing links for "Suit: Online Store," "Shirt: Online Store," and "Leather Shoes: Online Store."

[0555] Example prompts for generative AI models

[0556] "Prompt to generate a composite image of a slim 25-year-old female wearing a casual outfit, including a casual shirt, denim pants, and sneakers, based on the provided full-body photo."

[0557] In this way, the system of the present invention provides a real-time try-on experience in a virtual environment, allowing users to easily enjoy shopping.

[0558] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0559] Step 1:

[0560] The user terminal displays an initial screen. The user terminal provides an interface that displays a list of multiple styles that can be used in the virtual shopping mall. The input is the user's preferred style candidates, and the output is a list of selectable style images. The user selects their preferred style from this list.

[0561] Step 2:

[0562] The user terminal displays a form for inputting basic information such as age, gender, and body type. The input is the user's basic information, and the output is basic information data for proceeding to the next step. In this step, a form for the user to input their own basic information is displayed.

[0563] Step 3:

[0564] The user terminal provides an interface for uploading a full-body photo. The input is the full-body photo uploaded by the user, and the output is the uploaded full-body photo data. In this step, the user selects their own full-body photo and uploads it to the system.

[0565] Step 4:

[0566] The server receives the preferred style, basic information, and full-body photo sent from the user's device. The input is the user's preferred style, basic information, and full-body photo, and the output is the user data for proceeding to the next step. Based on this data, the server prepares to request processing from the generation AI.

[0567] Step 5:

[0568] The server sends the user's full-body photo and preferred style information to the generation AI and requests it to generate a composite image. The input is the user's full-body photo and preferred style information, and the output is the generated composite image. The generation AI generates an image that combines the selected style based on the full-body photo.

[0569] Step 6:

[0570] The server analyzes the generated composite image and obtains information about the components used. The input is the generated composite image, and the output is information about the components used. The composite image is analyzed using image recognition technology to identify each component.

[0571] Step 7:

[0572] The server retrieves purchase links related to components from an online sales site. The input is component information, and the output is a purchase link corresponding to each component. This allows users to quickly access the purchase link.

[0573] Step 8:

[0574] The user terminal displays the composite image and purchase link received from the server. The input is the composite image and purchase link, and the output is a screen displayed to the user. The user can check the composite image on this screen and purchase the item they like.

[0575] Step 9:

[0576] The user terminal allows the user to try on the style selected by the user in real time within a virtual environment. The input is the preferred style and a full-body photo, and the output is a real-time try-on experience within the virtual environment. The user can experience the outfits in the virtual space through the HMD.

[0577] 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.

[0578] This invention provides a system that recognizes a user's emotions and suggests the most suitable outfits for the user based on those emotions. Specifically, the system allows users to select their preferred outfits, enter basic information, and upload a full-body photo of themselves. Based on this, a generative AI generates a composite image and provides links to purchase related items. Furthermore, an emotion engine that recognizes the user's emotions is incorporated, and outfit suggestions are made based on the user's emotions.

[0579] System configuration

[0580] 1. User terminal: A device operated by a user (such as a smartphone or PC). It provides an input interface and communicates with the server.

[0581] 2. Server: A central processing computer system that receives user input, works with the generative AI to generate synthetic images, provides purchase links, and analyzes user emotions using an emotion engine.

[0582] 3. Generative AI: An artificial intelligence system that synthesizes images. It processes outfits onto a user's full-body photo.

[0583] 4. Emotion Engine: An artificial intelligence system that recognizes the user's emotions and adjusts its outfit suggestions accordingly.

[0584] Program processing explanation

[0585] 1. Displaying the initial screen

[0586] The user terminal displays an interface on the initial screen that allows the user to select a preferred outfit. On this screen, multiple outfit images are displayed as a list, from which the user can select a preferred style.

[0587] 2. Enter basic information

[0588] The user's device displays a form for the user to enter basic information such as age, gender, and body type. The user enters the required information and proceeds to the next step.

[0589] 3. Upload a full-body photo

[0590] The user terminal provides an interface for the user to upload his / her own full-body photo, and the user selects a file and uploads the full-body photo.

[0591] 4. Emotional Recognition

[0592] The user device captures the user's facial expressions with a camera, and the emotion engine recognizes the emotion from the captured images. This information is also sent to the server.

[0593] 5. Transmission of Information

[0594] The user's preferred outfits, basic information, a full-body photo, and the recognized emotions are sent to the server, which then begins processing based on the received information.

[0595] 6. Synthetic Image Generation Using Generative AI

[0596] The server sends the received information to the generation AI, which synthesizes the selected outfit based on the user's full-body photo. The generation AI then performs the synthesis process and generates an image that combines the outfit with the user's full-body photo.

[0597] 7. Adjusting suggestions based on emotions

[0598] The server then tailors the generated outfit suggestions based on the perceived emotion, suggesting bright colors and relaxing styles if the user is feeling down, for example.

[0599] 8. Obtaining Item Information

[0600] Once the composite image is generated, the server analyzes it to obtain information about the items used, and based on that information, retrieves product details and a purchase link from the online store.

[0601] 9. Displaying the results

[0602] The user's device displays the composite image and the purchase link for the item received from the server. The user can check the composite image displayed and purchase the item they like by accessing the online store using the purchase link.

[0603] Specific examples

[0604] For example, suppose a user selects "Simple Style," enters information such as age 30, gender male, and average build, and uploads a full-body photo of themselves. In addition, the emotion engine recognizes that the user's facial expression captured by the camera on the user's device indicates that they look "tired." The server receives this information and requests the generation AI to composite "Simple Style" clothing onto the full-body photo. The generated image includes a simple shirt, chinos, loafers, etc. The server obtains item information based on this image and provides purchase links for "Shirt: Online Store A," "Chinos: Online Store B," and "Loafers: Online Store C." The user can view the composite image on the screen and click the purchase link for the item they like to purchase from the online store.

[0605] The server can also tailor suggestions for relaxing, casual styles based on the user's perceived "tired" emotion. In this way, the system of the present invention provides an environment in which users can quickly find and easily purchase outfits that reflect their emotions and preferences.

[0606] The processing flow will be explained below.

[0607] Step 1:

[0608] The user terminal displays an initial screen, which displays a list of multiple coordinated outfit images. The user can then select their preferred style from these images.

[0609] Step 2:

[0610] The user selects the coordinated image of their choice. Once the selection is complete, the information is sent from the user terminal to the server.

[0611] Step 3:

[0612] The user terminal displays a basic information input form to the user, which includes input fields for "age," "gender," and "body type."

[0613] Step 4:

[0614] The user enters basic information and clicks the send button when they are finished. The entered basic information is sent from the user terminal to the server.

[0615] Step 5:

[0616] The user terminal displays the full-body photo upload interface, and the user selects his / her own full-body photo and clicks the upload button.

[0617] Step 6:

[0618] A full-body photo of the user is uploaded and sent to the server via the user's device. The server receives the user's preferred outfits, basic information, and the full-body photo.

[0619] Step 7:

[0620] The user device activates the camera and captures the user's facial expressions. The emotion engine analyzes the captured facial data and recognizes the emotion.

[0621] Step 8:

[0622] The emotion data recognized by the emotion engine is also sent to the server, which then begins processing based on this information.

[0623] Step 9:

[0624] The server sends the received information to the generation AI. The request includes a full-body photo of the user, their preferred outfits, and the recognized emotion.

[0625] Step 10:

[0626] The AI ​​generates a composite image using the user's full-body photo and the selected outfit information, and the generated composite image is sent back to the server.

[0627] Step 11:

[0628] The server receives the synthesized image and adjusts the suggestions based on the perceived emotion. For example, if the user is perceived as "tired," it will prioritize suggestions for items that promote relaxation.

[0629] Step 12:

[0630] The server analyzes the composite image and obtains information about the item used. Based on the obtained item information, the server uses the online store's API to obtain detailed information and a purchase link.

[0631] Step 13:

[0632] The server transmits the synthetic image and a purchasing link for the associated item to the user terminal.

[0633] Step 14:

[0634] The user's device displays the composite image and a link to purchase the item. By clicking the link, the user can access the online store and purchase the item.

[0635] As a specific example, suppose a user selects "casual style," enters information such as age 25, gender female, and slim build, and uploads a full-body photo of themselves. Furthermore, if the emotion engine recognizes the user's facial expression as "having fun," the server will use this information to request a generation AI to synthesize "casual style" clothing. The generated image includes a light-colored shirt, denim pants, and sneakers. Based on this image, the server obtains item information and provides purchase links for "shirt: online store A," "denim pants: online store B," and "sneakers: online store C." The user can view the synthesized image on the screen and purchase items they like from the online stores.

[0636] Example 2

[0637] 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."

[0638] Conventional outfit suggestion systems do not consider the user's emotions when proposing outfits, making it difficult to provide optimal suggestions that reflect the user's psychological state. Furthermore, there are limited ways for users to try on outfits using their own photos, making it difficult for these systems to lead to actual purchasing behavior.

[0639] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for the user to select a preferred outfit, a means for inputting the user's basic information, a means for uploading the user's full-body photo, a means for capturing the user's facial expression and recognizing the emotion, a generating means for generating a composite image based on the uploaded full-body photo and the user's preferred outfit information, a means for adjusting the outfit suggestion content based on the recognized emotion, a means for acquiring information on the items used based on the generated composite image, a means for acquiring a purchase link related to the acquired item information from an online store, and a means for displaying the composite image and the purchase link on the user terminal. This enables optimal outfit suggestions that take the user's emotions and preferences into consideration, and effectively guides the user to actual purchasing behavior.

[0640] definition statement

[0641] The "means for the user to select a preferred coordination" is a function that provides an interface for the user to select a preferred style from among a number of coordinations.

[0642] "Means for inputting basic user information" is a function that provides a form for users to input basic information such as their age, sex, and body type.

[0643] The "means for uploading a user's full-body photo" is a function that provides an interface for a user to upload their own full-body photo to the system.

[0644] "Means for capturing the user's facial expressions and recognizing their emotions" refers to a function that captures the user's facial expressions with a camera and analyzes their emotions from those expressions.

[0645] The "generation means" is a function that generates a composite image based on a full-body photograph of the user and selected coordinate information.

[0646] The "means for adjusting the contents of the coordinate suggestion based on the recognized emotion" is a function for taking the emotion of the user into consideration and suggesting the most suitable coordinate to the user.

[0647] The "means for acquiring information on the items used" is a function for acquiring detailed information on the fashion items used in the composite image.

[0648] The "means for obtaining a purchase link from an online store" is a function for obtaining a link to an online store where an item can be purchased based on the obtained item information.

[0649] The "means for displaying the composite image and the purchase link on the user terminal" is a function for displaying the generated composite image and the associated purchase link on the screen of the terminal used by the user.

[0650] MODE FOR CARRYING OUT THE INVENTION

[0651] This invention provides a system that recognizes a user's emotions and suggests optimal outfits for the user based on those emotions. This system is composed of the following elements: a user terminal operated by the user, a central processing server, a generation AI, and an emotion engine.

[0652] User terminal

[0653] A user terminal is a device (such as a smartphone or PC) operated by a user. The user terminal provides an interface that allows the user to input outfit selections, input basic information, and upload a full-body photo.

[0654] server

[0655] The server is a central processing computer system that receives information sent by the user (coordinate selection, basic information, full-body photo, and recognized emotion) and performs the following processes.

[0656] The data is sent to the generation AI, which generates a composite image that combines the selected outfit with the user's full-body photo.

[0657] The coordinated outfit suggestions are adjusted based on the user's emotions recognized by the emotion engine.

[0658] Information on the item used is obtained from the composite image, and a related purchase link is obtained from the online store.

[0659] Generation AI

[0660] Generative AI is an artificial intelligence system that generates composite images based on a user's full-body photo and selected outfit information. Generative AI uses advanced image processing technology to generate realistic composite images.

[0661] Emotion Engine

[0662] The emotion engine is an AI system that captures the user's facial expressions and recognizes their emotions from them. The recognized emotions are sent to the server and used to adjust the outfit suggestions.

[0663] Specific examples

[0664] For example, suppose a user selects "Simple Style" and enters information such as age 30, gender male, and average build. Furthermore, the emotion engine recognizes that the user looks "tired" from the user's facial expression captured by the camera on the user's device. The server receives this information and requests the generation AI to composite "Simple Style" clothing into a full-body photo. The generated image includes a simple shirt, chinos, loafers, etc. Based on this image, the server obtains item information and provides purchase links for "Shirt: Online Store A," "Chinos: Online Store B," and "Loafers: Online Store C." The user can then view the composite image on the screen and click the purchase link for the item they like to purchase from the online store.

[0665] Furthermore, the server can adjust the proposal of a relaxed, casual style based on the recognized emotion of "feeling tired." The system of the present invention provides an environment in which a user can quickly find and easily purchase outfits that reflect their emotions and preferences.

[0666] Prompt Sentence Examples

[0667] "The user is a 30-year-old male, has selected Simple Style as his preferred style, and has uploaded a full-body photo. He is feeling tired. Display a composite image generated based on these conditions, and generate and display purchase links for related items."

[0668] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0669] Program processing flow

[0670] Step 1: Displaying the initial screen

[0671] The device displays an interface on the initial screen that allows the user to select an outfit. Specifically, multiple outfit images are displayed as a list, and the user can choose their preferred style from these. The user's input is output as the selected outfit information.

[0672] Step 2: Enter basic information

[0673] The device displays a form for the user to enter basic information such as age, gender, and body type. The user enters the required information and proceeds to the next step. The entered information is output as the user's basic information.

[0674] Step 3: Upload a full-body photo

[0675] The device provides an interface for users to upload their full-body photo. The user selects a file and uploads the full-body photo. The uploaded photo is sent to the server and output as the user's full-body photo.

[0676] Step 4: Recognize emotions

[0677] The device camera captures the user's facial expression, and the emotion engine recognizes the emotion from the facial expression. The input of the emotion recognition is the user's facial expression data, and the output is the recognized emotion information. The emotion information is sent to the server.

[0678] Step 5: Submit your information

[0679] The device sends the user's selected outfit, basic information, a full-body photo, and the recognized emotion to a server, where the information is integrated and used as input data for the generative AI.

[0680] Step 6: Generate synthetic images using generative AI

[0681] The server sends the received information (coordinates, basic information, full-body photo, and emotions) to the generation AI, which synthesizes the selected coordinates based on the user's full-body photo. The generation AI processes this input data and generates a composite image. The generated composite image is then returned to the server.

[0682] Step 7: Adjust your suggestions based on emotions

[0683] The server then adjusts the generated outfit suggestions based on the user's recognized emotions. For example, if the user is feeling depressed, it will suggest bright colors and relaxing styles. The server then reconstructs the outfit suggestions based on the user's emotional information and outputs optimized suggestions.

[0684] Step 8: Get Item Information

[0685] The server analyzes the composite image and extracts information about the item used, using image recognition technology, which is then output along with a link to the online store where the item can be purchased.

[0686] Step 9: View the results

[0687] The device displays the composite image received from the server along with a link to purchase the item. The user can check the composite image and click the purchase link to purchase the item they like from the online store. The user's operation triggers an actual purchase, and the purchase data is output.

[0688] (Application example 2)

[0689] 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."

[0690] Today's consumers often find it difficult to quickly find fashion that suits their individual sensibilities and moods. Furthermore, online shopping experiences lack a way to receive outfit suggestions that match a user's emotions and then instantly purchase them. Conventional systems are inadequate in providing outfit suggestions or specific purchasing links that match a user's emotions. Therefore, providing a satisfying online shopping experience for users is a challenge.

[0691] The identification process by the identification 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 a means for the user to select a preferred outfit, a means for inputting the user's basic information, a means for uploading the user's full-body photo, a means for recognizing the user's emotions, a generating means for generating a composite image based on the uploaded full-body photo, the user's preferred outfit information, and the recognized emotions, a means for acquiring information on items used based on the generated composite image, a means for acquiring purchase links related to the acquired item information from an e-commerce site, and a means for displaying the composite image and purchase links on the user terminal. This makes it possible to analyze the user's emotions, suggest optimal outfits based on the analysis, and provide purchase links for related items.

[0692] "User" refers to an individual who uses the system to select outfits, enter information, and upload photos.

[0693] "Coordination" refers to a combination of clothing and accessories that suit the user's preferences.

[0694] "Basic information" is information including attributes such as the user's age, sex, and body type.

[0695] "Full-body photo" refers to image data that captures the user's entire body.

[0696] "Emotion" refers to the psychological state of the user as recognized from their facial expressions and actions.

[0697] "Generation means" refers to technology that generates a synthetic image based on an uploaded full-body photo, coordination information, and recognized emotions.

[0698] The term "composite image" refers to an image in which a selected outfit is combined with a full-body photograph of the user.

[0699] "Item information" refers to detailed information about the clothing and accessories used in the composite image.

[0700] "Purchase Link" is the URL of the online store related to the item information.

[0701] The following describes an embodiment of the present invention. This invention is a system that recognizes a user's emotions, suggests optimal outfits based on those emotions, and provides links to purchase related items. The main parts of the system consist of a user terminal, a server, and a generative AI model.

[0702] 1. User Device: A user device is a device such as a smartphone or tablet that provides an interface for users to select their preferred outfits, enter basic information, and upload a full-body photo. It also uses a camera to capture the user's facial expressions and recognize their emotions.

[0703] 2. Server: The server is a computer system responsible for central processing. It receives basic information, a full-body photo, preferred outfit information, and recognized emotions sent by the user, and then requests a generative AI model to generate a composite image based on this information. It also obtains information about the items used based on the composite image and retrieves purchasing links related to those items from e-commerce sites.

[0704] 3. Generative AI model: The generative AI model synthesizes the selected outfit with the user's full-body photo. The generated composite image is coordinated in accordance with the user's preferences and emotions.

[0705] 4. Emotion Engine: The emotion engine is an artificial intelligence system that recognizes emotions from the user's facial expressions. The recognized emotions are sent to the server and used to adjust the coordination suggestions.

[0706] 5. Sending and receiving information: The user terminal sends the information and image selected by the user to the server, and the generated composite image and the obtained purchase link are displayed on the user terminal.

[0707] As a specific example, a user selects "simple style," enters information such as age 30, gender male, and typical body type, and uploads a full-body photo of themselves. From the user's facial expression captured by the camera on the user's device, the emotion engine recognizes that the user looks "tired." The server receives this information and requests the generative AI model to composite "simple style" clothing onto the full-body photo. This image includes a simple shirt, chinos, loafers, etc. The server retrieves item information based on the generated composite image and provides purchase links for "shirt: online store A," "chinos: online store B," and "loafers: online store C."

[0708] An example of a prompt is as follows:

[0709] "A 30-year-old male with a normal build uploaded a full-body photo. The emotion engine recognized that he looked 'tired.' Please suggest some simple clothing styles."

[0710] This invention makes it possible to analyze a user's emotions, suggest optimal outfits based on the emotions, and provide links to purchase related items.

[0711] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0712] Step 1:

[0713] The user terminal displays the initial screen. The user operates the interface to select a preferred outfit. The selection results are input to the user terminal and saved as preferred outfit information.

[0714] Step 2:

[0715] The user terminal prompts the user to enter basic information such as age, gender, and body type, and this basic information is saved on the user terminal. The input information becomes the data used in the next processing step.

[0716] Step 3:

[0717] The user terminal provides an interface for the user to upload his / her full-body photo. The user selects a file and uploads the full-body photo. The uploaded full-body photo is saved in the user terminal.

[0718] Step 4:

[0719] The user's facial expression is captured using the camera of the user device, and the emotion engine recognizes the emotion from the facial expression. The recognized emotion is stored on the user device. The input of emotion recognition is the captured facial expression image, and the output is the recognized emotion data.

[0720] Step 5:

[0721] The user terminal transmits the user's preferred outfit information, basic information, a full-body photo, and the recognized emotion to the server, and all of this data is transferred to the server.

[0722] Step 6:

[0723] Based on the data received by the server, the information is sent to the generative AI model. The generative AI model analyzes the received data and generates an image that combines the user's full-body photo with the selected outfit. The input data is the full-body photo, outfit information, and emotion data, and the output is the combined image.

[0724] Step 7:

[0725] The server receives the synthetic image from the generative AI model. It identifies the items used in the synthetic image and obtains detailed information about the items. The server then obtains related purchase links from e-commerce sites based on the obtained item information. The input in this step is the synthetic image, and the output is detailed item information and purchase links.

[0726] Step 8:

[0727] The server sends the composite image, detailed information about the acquired item, and a purchase link to the user's device. The user's device receives this data and displays the composite image and a purchase link containing the product information. The user can check the displayed information and purchase the item of interest from the online store.

[0728] 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.

[0729] 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.

[0730] 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.

[0731] [Third embodiment]

[0732] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0733] 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.

[0734] 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).

[0735] 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.

[0736] 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.

[0737] 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).

[0738] 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.

[0739] 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.

[0740] 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.

[0741] 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.

[0742] 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.

[0743] 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."

[0744] The present invention is a system that allows users to quickly find outfits that suit them and make purchasing decisions easier. This system allows users to select their preferred outfits, enter basic information, and upload a full-body photo of themselves, and based on this, a generative AI generates a composite image and provides purchase links for related items. We will now explain how the present invention is specifically implemented.

[0745] System configuration

[0746] 1. User terminal: A device operated by a user (such as a smartphone or PC). It provides an input interface and communicates with the server.

[0747] 2. Server: A central processing computer system that receives user input, works with the generative AI to generate a synthetic image, and provides a purchase link.

[0748] 3. Generative AI: An artificial intelligence system that synthesizes images. It processes outfits onto a user's full-body photo.

[0749] Program processing explanation

[0750] 1. Displaying the initial screen

[0751] The user terminal displays an interface on the initial screen that allows the user to select a preferred outfit. On this screen, multiple outfit images are displayed as a list, from which the user can select a preferred style.

[0752] 2. Enter basic information

[0753] The user's device displays a form for the user to enter basic information such as age, gender, and body type. The user enters the required information and proceeds to the next step.

[0754] 3. Upload a full-body photo

[0755] The user terminal provides an interface for the user to upload his / her own full-body photo, and the user selects a file and uploads the full-body photo.

[0756] 4. Transmission of Information

[0757] The user's device sends their preferred outfit, basic information, and a full-body photo to the server, which then begins processing based on the received information.

[0758] 5. Synthetic Image Generation Using Generative AI

[0759] The server sends the received information to the generation AI, which synthesizes the selected outfit based on the user's full-body photo. The generation AI then performs the synthesis process and generates an image that combines the outfit with the user's full-body photo.

[0760] 6. Obtaining item information

[0761] Once the composite image is generated, the server analyzes it to obtain information about the items used, and based on that information, retrieves product details and a purchase link from the online store.

[0762] 7. Displaying the results

[0763] The user's device displays the composite image and the purchase link for the item received from the server. The user can check the composite image displayed and purchase the item they like by accessing the online store using the purchase link.

[0764] Specific examples

[0765] For example, suppose a user selects that they prefer a "casual style," enters their age (25), gender (female), and body type (slim), and uploads a full-body photo of themselves. The server receives this information and requests the generation AI to composite "casual style" clothing into the full-body photo. The generated image includes a casual shirt, denim pants, sneakers, etc. Based on this image, the server obtains item information and provides purchase links for, for example, "Shirt: Online Store A," "Denim Pants: Online Store B," and "Sneakers: Online Store C." The user can view the composite image on the screen and click the purchase link for the item they like to purchase from the online store.

[0766] In this way, the system of the present invention provides an environment in which users can quickly find clothes that suit them and easily purchase them.

[0767] The processing flow will be explained below.

[0768] Step 1:

[0769] The user terminal displays an initial screen, which displays a list of multiple outfit images. The user can select a style they like from these images.

[0770] Step 2:

[0771] The user selects a coordinated image of their choice, and the selected image is sent from the user terminal to the server.

[0772] Step 3:

[0773] The user terminal displays a basic information input form for the user, which includes items such as "age," "gender," and "body type."

[0774] Step 4:

[0775] The user enters basic information and clicks a button to proceed to the next step. The entered information is sent from the user terminal to the server.

[0776] Step 5:

[0777] The user's device displays the full-body photo upload interface. The user selects a photo from the file selection dialog and clicks the upload button.

[0778] Step 6:

[0779] A full-body photo is uploaded and sent from the user's device to the server, which then receives the user's preferred outfit, basic information, and full-body photo all at once.

[0780] Step 7:

[0781] Based on the information received, the server sends an image synthesis request to the generation AI, which includes the user's full-body photo and selected outfit information.

[0782] Step 8:

[0783] The AI ​​generates a composite image using the user's full-body photo and the selected outfit information, and the generated composite image is sent back to the server.

[0784] Step 9:

[0785] The server receives the composite image, which is then analyzed by the server to identify information about the item used.

[0786] Step 10:

[0787] For each identified item, the server uses the online store's API to retrieve details and a purchase link.

[0788] Step 11:

[0789] The server transmits the composite image and a link to purchase the item to the user terminal.

[0790] Step 12:

[0791] The user's device displays the composite image and a link to purchase the item. The user can click the link provided to purchase the item from the online store.

[0792] In this way, specific processing is performed at each step, and the system allows users to quickly find and purchase outfits that suit them.

[0793] Example 1

[0794] 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."

[0795] In today's online shopping environment, there is a demand for an environment that allows users to quickly and easily find outfits that suit them and make purchasing decisions. However, conventional methods require users to individually select items, then combine and check them, which is time-consuming, and it is difficult for them to visually visualize an outfit that suits them. Furthermore, the process of efficiently obtaining items related to the outfit a user has selected and actually purchasing them is complicated, so there is a demand for a system that streamlines and automates this process.

[0796] 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.

[0797] In this invention, the server includes means for a user to select a preferred outfit, means for inputting user attribute information, means for uploading a full-body image of the user, means for generating a composite image based on the uploaded full-body image and the user's preferred outfit information, means for acquiring information on items used based on the generated composite image, means for acquiring purchase links related to the acquired item information from a communication network, and means for displaying the composite image and purchase links on a user terminal, thereby enabling a user to easily find a coordinated outfit that suits them and then quickly and efficiently purchase related products.

[0798] A "user terminal" is an information processing device operated by a user, and includes devices such as a smartphone and a personal computer.

[0799] The "server" is a computer system that performs central processing, processes data received from user terminals, and returns the generated composite image and purchase link.

[0800] "Attribute information" refers to basic information about a user, including age, gender, body type, and the like.

[0801] "Full-body image" refers to a digital image of the user's entire body that the system uses for analysis.

[0802] "Outfit" refers to the coordination selected by the user, and is style information including the combination of clothing and accessories.

[0803] "Generating means" refers to a means for executing a process for generating a composite image based on uploaded full-body images and outfit information.

[0804] "Item" refers to an individual item contained within a composite image, including tangible goods such as clothing or accessories.

[0805] "Communications network" refers to an infrastructure for transmitting digital information, such as the Internet.

[0806] "Purchase Link" refers to a web link that allows a user to purchase a product directly from an online store based on the information provided by the system.

[0807] This invention is a system that allows users to quickly find outfits that suit them and make purchasing decisions easier. This system allows users to select their preferred outfits, enter attribute information, and upload a full-body image, and based on this, a generative AI generates a composite image and provides purchasing links for related items.

[0808] First, the user terminal is implemented using a smartphone, personal computer, etc. An interface is displayed on the user terminal, and the user selects their preferred outfit. Also, on the same interface, the user can enter their own attribute information (age, gender, body type, etc.) and upload a full-body image.

[0809] The uploaded full-body image and the outfit information selected by the user are sent from the user's device to the server. The server receives this data and sends it to the generative AI, which starts the process of generating a synthetic image. The generative AI model generates the synthetic image using, for example, deep learning technology. The following is an example of a prompt sentence that can be used:

[0810] "Please composite a full-body photo of a 25-year-old female with a slim build wearing casual clothing."

[0811] After the generative AI model generates the synthetic image, the server receives the synthetic image and then extracts information about the items used in the synthetic image. The information about the items is specific items such as a shirt, denim pants, or sneakers. The server uses this information to obtain a purchase link associated with each item from an online store. The obtained purchase link is then sent to the user's device.

[0812] Finally, the user's device displays the composite image and associated purchase links to the user. The user can review the composite image generated on this screen, click the purchase link for the item they like, and purchase it directly from the online store. This process allows users to easily find an outfit that suits them and quickly and efficiently purchase related products.

[0813] This system greatly improves the convenience of online shopping by allowing users to visually check which clothes suit them best and make purchasing decisions quickly.

[0814] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0815] Step 1:

[0816] The user terminal displays an interface on an initial screen that allows the user to select a preferred outfit.

[0817] Input: Initial screen image data

[0818] Output: User selects their preferred outfit

[0819] Specifically, the user terminal displays a list of multiple coordinated outfit images, and the user selects a style they like by clicking on it.

[0820] Step 2:

[0821] The user terminal displays a form that prompts the user to input attribute information.

[0822] Input: Attribute information such as age, gender, and body type

[0823] Output: Input attribute information data

[0824] Specifically, information is entered in the form of a list box or radio buttons, and the information is confirmed when the user clicks a confirmation button.

[0825] Step 3:

[0826] The user terminal provides an interface that allows the user to upload a full-body image.

[0827] Input: User's full-body image file

[0828] Output: Uploaded whole-body image data

[0829] Specifically, a file selection button is displayed, and the user selects a full-body image from the local disk and uploads it. Clicking the upload button confirms the data.

[0830] Step 4:

[0831] The user terminal transmits the preferred outfit, attribute information, and a full-body image to the server.

[0832] Input: Preferred outfit, attribute information, uploaded full-body image data

[0833] Output: User data sent to the server

[0834] Specifically, the form contents and the uploaded image are sent together to the server as a POST request.

[0835] Step 5:

[0836] The server receives the user data and sends it to the generating AI.

[0837] Input: Preferred outfit, attribute information, full-body image data

[0838] Output: Request data to the generation AI

[0839] Specifically, it validates the incoming data, creates an API request to the generative AI model, and sends it along with a prompt. An example of the prompt is, "Please combine a full-body photo of a 25-year-old woman with a slim build and casual clothing."

[0840] Step 6:

[0841] Generative AI generates a synthetic image.

[0842] Input: Request data and prompt for the generated AI

[0843] Output: Composite image data

[0844] Specifically, the generative AI model uses deep learning techniques to generate a synthetic image and then sends the generated image back to the server.

[0845] Step 7:

[0846] A server receives the composite image and extracts the item information.

[0847] Input: Synthetic image data

[0848] Output: Product information data

[0849] Specifically, the composite image is passed through an image analysis algorithm to identify the type and brand of item used.

[0850] Step 8:

[0851] The server acquires a purchase link from the online store based on the extracted product information.

[0852] Input: Product information data

[0853] Output: Purchase link data

[0854] Specifically, it uses the online store's API to retrieve detailed information and purchase links for each item.

[0855] Step 9:

[0856] The server transmits the composite image and the purchase link to the user terminal.

[0857] Input: Composite image data, purchase link data

[0858] Output: Composite image and purchase link data sent to user device

[0859] Specifically, the system creates JSON data containing the generated composite image and a purchase link for each item, and sends it to the user's device.

[0860] Step 10:

[0861] The user terminal displays the composite image and the purchase link to the user.

[0862] Input: Composite image and purchase link data sent from the server

[0863] Output: A composite image and a purchase link shown to the user

[0864] Specifically, the system displays the composite image and purchase links for each item on the screen, and the user can review them, click on the item they like, and purchase it from the online store.

[0865] (Application example 1)

[0866] 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."

[0867] With the recent increase in online shopping, it has become increasingly important for users to quickly find outfits that suit them. However, it is difficult to find clothes and styles that suit them without actually trying them on, making purchasing decisions difficult. To solve this problem, a system is needed that allows users to try on outfits in real time in a virtual environment and provides specific purchasing links based on the synthesized images.

[0868] 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.

[0869] In this invention, the server includes means for the user to select a preferred style, means for inputting basic information about the user, means for uploading a full-body image of the user, means for generating a composite image based on the uploaded full-body image and the user's preferred style information, means for acquiring information about components used based on the generated composite image, means for acquiring a purchase link related to the acquired information about the components from an online sales site, means for displaying the composite image and the purchase link on a display device, and means for trying on the user's selected outfit in real time within a virtual environment, thereby enabling the user to easily find a style that suits them and make a purchasing decision.

[0870] "User" refers to an individual or corporation that uses the system.

[0871] "Preferred style" refers to the fashion and coordination that the user selects and thinks suits them.

[0872] "Basic information" refers to personal information such as the user's age, gender, height, and body type.

[0873] "Full-body image" refers to a photograph or image that shows the user's entire body.

[0874] "Generation method" refers to the technology that uses generative AI to create a composite image based on an uploaded full-body image and the user's preferred style information.

[0875] "Components" refer to the fashion items and accessories used in the composite image.

[0876] The "means for acquiring" refers to a technology for acquiring information about components and related purchase links from an online sales site based on the generated composite image.

[0877] "Display device" refers to a device for displaying a composite image and a purchase link on a user terminal.

[0878] "Virtual environment" refers to an environment in which users can operate the system and try out coordination within a virtual reality space.

[0879] "Means for trying on clothes in real time" refers to technology that allows users to immediately check their selected outfits in a virtual environment.

[0880] MODE FOR CARRYING OUT THE INVENTION

[0881] The present invention is a system that allows users to quickly find outfits that suit them and make purchasing decisions easily. This system allows users to try on outfits in real time in a virtual environment and provides specific purchase links based on the synthesized images. The following describes how the present invention is specifically implemented.

[0882] System configuration

[0883] 1. User Device: A device operated by the user, such as smart glasses or a head-mounted display (HMD), allows the user to walk around the shopping mall in a virtual environment and select outfits.

[0884] 2. Display device: A device that displays the composite image and purchase links on the user's terminal.

[0885] 3. Server: A central processing computer system that receives user input, works with the generative AI to generate a synthetic image, and provides a purchase link.

[0886] 4. Generative AI: An artificial intelligence system that synthesizes images and synthesizes selected outfits based on the user's full-body image.

[0887] Program processing description

[0888] 1. Displaying the initial screen

[0889] The user terminal displays an interface on the initial screen that allows the user to select a preferred style. This screen displays a list of multiple styles that can be used in the virtual shopping mall, allowing the user to choose their preferred style from multiple coordinations.

[0890] 2. Enter basic information

[0891] The user terminal displays a form for the user to enter basic information such as age, gender, body type, etc. The user enters the required information and proceeds to the next step.

[0892] 3. Upload a full-body photo

[0893] The user terminal provides an interface for the user to upload a full-body photo of themselves, and once the user uploads the full-body photo, the information is sent to the server.

[0894] 4. Synthetic image generation using generative AI

[0895] The server sends the received information to the generation AI, which synthesizes the selected style based on the user's full-body photo. The generation AI then performs the synthesis process and generates an image that combines the selected outfit with the user's full-body photo.

[0896] 5. Get a purchase link

[0897] Once the composite image is generated, the server analyzes the image to obtain information about the components used, and based on the obtained components, retrieves product details and purchase links from online retailers.

[0898] 6. Displaying the results

[0899] The user terminal displays the composite image and the purchase links for the components received from the server. The user can check the composite image displayed and purchase the items they like by accessing the online store via the purchase links.

[0900] Hardware and software used

[0901] Hardware: VR headsets such as Oculus Quest 2 and HTC Vive

[0902] Software: VR SDK (a software development kit that includes virtual environment settings and UI), Generative AI Model SDK (an AI model for image synthesis)

[0903] Data processing and calculation

[0904] Initialize the runtime environment: Initialize the VR environment and user interface. Download multiple style images that the user can select and display them on the initial screen.

[0905] Collecting user information: Collect basic information such as age, gender, body type, and full-body images from users.

[0906] Synthetic image generation: Using collected user information and a full-body image, generative AI is used to emulate how the selected style would look on the user.

[0907] Analysis and display of purchase links: The generated composite image is analyzed to obtain purchase links for the fashion items used and display them to the user.

[0908] Specific examples

[0909] For example, consider a scenario where a user selects "chic style," inputs their age (30), gender (male), and build (athletic), and uploads a full-body image. Generative AI uses this information to synthesize a chic style outfit (dark suit, colored shirt, and leather shoes) into the full-body photo. This image is displayed in real time on the user's avatar in the VR environment, and additionally provides purchasing links for "Suit: Online Store," "Shirt: Online Store," and "Leather Shoes: Online Store."

[0910] Example prompts for generative AI models

[0911] "Prompt to generate a composite image of a slim 25-year-old female wearing a casual outfit, including a casual shirt, denim pants, and sneakers, based on the provided full-body photo."

[0912] In this way, the system of the present invention provides a real-time try-on experience in a virtual environment, allowing users to easily enjoy shopping.

[0913] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0914] Step 1:

[0915] The user terminal displays an initial screen. The user terminal provides an interface that displays a list of multiple styles that can be used in the virtual shopping mall. The input is the user's preferred style candidates, and the output is a list of selectable style images. The user selects their preferred style from this list.

[0916] Step 2:

[0917] The user terminal displays a form for inputting basic information such as age, gender, and body type. The input is the user's basic information, and the output is basic information data for proceeding to the next step. In this step, a form for the user to input their own basic information is displayed.

[0918] Step 3:

[0919] The user terminal provides an interface for uploading a full-body photo. The input is the full-body photo uploaded by the user, and the output is the uploaded full-body photo data. In this step, the user selects their own full-body photo and uploads it to the system.

[0920] Step 4:

[0921] The server receives the preferred style, basic information, and full-body photo sent from the user's device. The input is the user's preferred style, basic information, and full-body photo, and the output is the user data for proceeding to the next step. Based on this data, the server prepares to request processing from the generation AI.

[0922] Step 5:

[0923] The server sends the user's full-body photo and preferred style information to the generation AI and requests it to generate a composite image. The input is the user's full-body photo and preferred style information, and the output is the generated composite image. The generation AI generates an image that combines the selected style based on the full-body photo.

[0924] Step 6:

[0925] The server analyzes the generated composite image and obtains information about the components used. The input is the generated composite image, and the output is information about the components used. The composite image is analyzed using image recognition technology to identify each component.

[0926] Step 7:

[0927] The server retrieves purchase links related to components from an online sales site. The input is component information, and the output is a purchase link corresponding to each component. This allows users to quickly access the purchase link.

[0928] Step 8:

[0929] The user terminal displays the composite image and purchase link received from the server. The input is the composite image and purchase link, and the output is a screen displayed to the user. The user can check the composite image on this screen and purchase the item they like.

[0930] Step 9:

[0931] The user terminal allows the user to try on the style selected by the user in real time within a virtual environment. The input is the preferred style and a full-body photo, and the output is a real-time try-on experience within the virtual environment. The user can experience the outfits in the virtual space through the HMD.

[0932] 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.

[0933] This invention provides a system that recognizes a user's emotions and suggests the most suitable outfits for the user based on those emotions. Specifically, the system allows users to select their preferred outfits, enter basic information, and upload a full-body photo of themselves. Based on this, a generative AI generates a composite image and provides links to purchase related items. Furthermore, an emotion engine that recognizes the user's emotions is incorporated, and outfit suggestions are made based on the user's emotions.

[0934] System configuration

[0935] 1. User terminal: A device operated by a user (such as a smartphone or PC). It provides an input interface and communicates with the server.

[0936] 2. Server: A central processing computer system that receives user input, works with the generative AI to generate synthetic images, provides purchase links, and analyzes user emotions using an emotion engine.

[0937] 3. Generative AI: An artificial intelligence system that synthesizes images. It processes outfits onto a user's full-body photo.

[0938] 4. Emotion Engine: An artificial intelligence system that recognizes the user's emotions and adjusts its outfit suggestions accordingly.

[0939] Program processing explanation

[0940] 1. Displaying the initial screen

[0941] The user terminal displays an interface on the initial screen that allows the user to select a preferred outfit. On this screen, multiple outfit images are displayed as a list, from which the user can select a preferred style.

[0942] 2. Enter basic information

[0943] The user's device displays a form for the user to enter basic information such as age, gender, and body type. The user enters the required information and proceeds to the next step.

[0944] 3. Upload a full-body photo

[0945] The user terminal provides an interface for the user to upload his / her own full-body photo, and the user selects a file and uploads the full-body photo.

[0946] 4. Emotional Recognition

[0947] The user device captures the user's facial expressions with a camera, and the emotion engine recognizes the emotion from the captured images. This information is also sent to the server.

[0948] 5. Transmission of Information

[0949] The user's preferred outfits, basic information, a full-body photo, and the recognized emotions are sent to the server, which then begins processing based on the received information.

[0950] 6. Synthetic Image Generation Using Generative AI

[0951] The server sends the received information to the generation AI, which synthesizes the selected outfit based on the user's full-body photo. The generation AI then performs the synthesis process and generates an image that combines the outfit with the user's full-body photo.

[0952] 7. Adjusting suggestions based on emotions

[0953] The server then tailors the generated outfit suggestions based on the perceived emotion, suggesting bright colors and relaxing styles if the user is feeling down, for example.

[0954] 8. Obtaining Item Information

[0955] Once the composite image is generated, the server analyzes it to obtain information about the items used, and based on that information, retrieves product details and a purchase link from the online store.

[0956] 9. Displaying the results

[0957] The user's device displays the composite image and the purchase link for the item received from the server. The user can check the composite image displayed and purchase the item they like by accessing the online store using the purchase link.

[0958] Specific examples

[0959] For example, suppose a user selects "Simple Style," enters information such as age 30, gender male, and average build, and uploads a full-body photo of themselves. In addition, the emotion engine recognizes that the user's facial expression captured by the camera on the user's device indicates that they look "tired." The server receives this information and requests the generation AI to composite "Simple Style" clothing onto the full-body photo. The generated image includes a simple shirt, chinos, loafers, etc. The server obtains item information based on this image and provides purchase links for "Shirt: Online Store A," "Chinos: Online Store B," and "Loafers: Online Store C." The user can view the composite image on the screen and click the purchase link for the item they like to purchase from the online store.

[0960] The server can also tailor suggestions for relaxing, casual styles based on the user's perceived "tired" emotion. In this way, the system of the present invention provides an environment in which users can quickly find and easily purchase outfits that reflect their emotions and preferences.

[0961] The processing flow will be explained below.

[0962] Step 1:

[0963] The user terminal displays an initial screen, which displays a list of multiple coordinated outfit images. The user can then select their preferred style from these images.

[0964] Step 2:

[0965] The user selects the coordinated image of their choice. Once the selection is complete, the information is sent from the user terminal to the server.

[0966] Step 3:

[0967] The user terminal displays a basic information input form to the user, which includes input fields for "age," "gender," and "body type."

[0968] Step 4:

[0969] The user enters basic information and clicks the send button when they are finished. The entered basic information is sent from the user terminal to the server.

[0970] Step 5:

[0971] The user terminal displays the full-body photo upload interface, and the user selects his / her own full-body photo and clicks the upload button.

[0972] Step 6:

[0973] A full-body photo of the user is uploaded and sent to the server via the user's device. The server receives the user's preferred outfits, basic information, and the full-body photo.

[0974] Step 7:

[0975] The user device activates the camera and captures the user's facial expressions. The emotion engine analyzes the captured facial data and recognizes the emotion.

[0976] Step 8:

[0977] The emotion data recognized by the emotion engine is also sent to the server, which then begins processing based on this information.

[0978] Step 9:

[0979] The server sends the received information to the generation AI. The request includes a full-body photo of the user, their preferred outfits, and the recognized emotion.

[0980] Step 10:

[0981] The AI ​​generates a composite image using the user's full-body photo and the selected outfit information, and the generated composite image is sent back to the server.

[0982] Step 11:

[0983] The server receives the synthesized image and adjusts the suggestions based on the perceived emotion. For example, if the user is perceived as "tired," it will prioritize suggestions for items that promote relaxation.

[0984] Step 12:

[0985] The server analyzes the composite image and obtains information about the item used. Based on the obtained item information, the server uses the online store's API to obtain detailed information and a purchase link.

[0986] Step 13:

[0987] The server transmits the synthetic image and a purchasing link for the associated item to the user terminal.

[0988] Step 14:

[0989] The user's device displays the composite image and a link to purchase the item. By clicking the link, the user can access the online store and purchase the item.

[0990] As a specific example, suppose a user selects "casual style," enters information such as age 25, gender female, and slim build, and uploads a full-body photo of themselves. Furthermore, if the emotion engine recognizes the user's facial expression as "having fun," the server will use this information to request a generation AI to synthesize "casual style" clothing. The generated image includes a light-colored shirt, denim pants, and sneakers. Based on this image, the server obtains item information and provides purchase links for "shirt: online store A," "denim pants: online store B," and "sneakers: online store C." The user can view the synthesized image on the screen and purchase items they like from the online stores.

[0991] Example 2

[0992] 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."

[0993] Conventional outfit suggestion systems do not consider the user's emotions when proposing outfits, making it difficult to provide optimal suggestions that reflect the user's psychological state. Furthermore, there are limited ways for users to try on outfits using their own photos, making it difficult for these systems to lead to actual purchasing behavior.

[0994] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for the user to select a preferred outfit, a means for inputting the user's basic information, a means for uploading the user's full-body photo, a means for capturing the user's facial expression and recognizing the emotion, a generating means for generating a composite image based on the uploaded full-body photo and the user's preferred outfit information, a means for adjusting the outfit suggestion content based on the recognized emotion, a means for acquiring information on the items used based on the generated composite image, a means for acquiring a purchase link related to the acquired item information from an online store, and a means for displaying the composite image and the purchase link on the user terminal. This enables optimal outfit suggestions that take the user's emotions and preferences into consideration, and effectively guides the user to actual purchasing behavior.

[0995] definition statement

[0996] The "means for the user to select a preferred coordination" is a function that provides an interface for the user to select a preferred style from among a number of coordinations.

[0997] "Means for inputting basic user information" is a function that provides a form for users to input basic information such as their age, sex, and body type.

[0998] The "means for uploading a user's full-body photo" is a function that provides an interface for a user to upload their own full-body photo to the system.

[0999] "Means for capturing the user's facial expressions and recognizing their emotions" refers to a function that captures the user's facial expressions with a camera and analyzes their emotions from those expressions.

[1000] The "generation means" is a function that generates a composite image based on a full-body photograph of the user and selected coordinate information.

[1001] The "means for adjusting the contents of the coordinate suggestion based on the recognized emotion" is a function for taking the emotion of the user into consideration and suggesting the most suitable coordinate to the user.

[1002] The "means for acquiring information on the items used" is a function for acquiring detailed information on the fashion items used in the composite image.

[1003] The "means for obtaining a purchase link from an online store" is a function for obtaining a link to an online store where an item can be purchased based on the obtained item information.

[1004] The "means for displaying the composite image and the purchase link on the user terminal" is a function for displaying the generated composite image and the associated purchase link on the screen of the terminal used by the user.

[1005] MODE FOR CARRYING OUT THE INVENTION

[1006] This invention provides a system that recognizes a user's emotions and suggests optimal outfits for the user based on those emotions. This system is composed of the following elements: a user terminal operated by the user, a central processing server, a generation AI, and an emotion engine.

[1007] User terminal

[1008] A user terminal is a device (such as a smartphone or PC) operated by a user. The user terminal provides an interface that allows the user to input outfit selections, input basic information, and upload a full-body photo.

[1009] server

[1010] The server is a central processing computer system that receives information sent by the user (coordinate selection, basic information, full-body photo, and recognized emotion) and performs the following processes.

[1011] The data is sent to the generation AI, which generates a composite image that combines the selected outfit with the user's full-body photo.

[1012] The coordinated outfit suggestions are adjusted based on the user's emotions recognized by the emotion engine.

[1013] Information on the item used is obtained from the composite image, and a related purchase link is obtained from the online store.

[1014] Generation AI

[1015] Generative AI is an artificial intelligence system that generates composite images based on a user's full-body photo and selected outfit information. Generative AI uses advanced image processing technology to generate realistic composite images.

[1016] Emotion Engine

[1017] The emotion engine is an AI system that captures the user's facial expressions and recognizes their emotions from them. The recognized emotions are sent to the server and used to adjust the outfit suggestions.

[1018] Specific examples

[1019] For example, suppose a user selects "Simple Style" and enters information such as age 30, gender male, and average build. Furthermore, the emotion engine recognizes that the user looks "tired" from the user's facial expression captured by the camera on the user's device. The server receives this information and requests the generation AI to composite "Simple Style" clothing into a full-body photo. The generated image includes a simple shirt, chinos, loafers, etc. Based on this image, the server obtains item information and provides purchase links for "Shirt: Online Store A," "Chinos: Online Store B," and "Loafers: Online Store C." The user can then view the composite image on the screen and click the purchase link for the item they like to purchase from the online store.

[1020] Furthermore, the server can adjust the proposal of a relaxed, casual style based on the recognized emotion of "feeling tired." The system of the present invention provides an environment in which a user can quickly find and easily purchase outfits that reflect their emotions and preferences.

[1021] Prompt Sentence Examples

[1022] "The user is a 30-year-old male, has selected Simple Style as his preferred style, and has uploaded a full-body photo. He is feeling tired. Display a composite image generated based on these conditions, and generate and display purchase links for related items."

[1023] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1024] Program processing flow

[1025] Step 1: Displaying the initial screen

[1026] The device displays an interface on the initial screen that allows the user to select an outfit. Specifically, multiple outfit images are displayed as a list, and the user can choose their preferred style from these. The user's input is output as the selected outfit information.

[1027] Step 2: Enter basic information

[1028] The device displays a form for the user to enter basic information such as age, gender, and body type. The user enters the required information and proceeds to the next step. The entered information is output as the user's basic information.

[1029] Step 3: Upload a full-body photo

[1030] The device provides an interface for users to upload their full-body photo. The user selects a file and uploads the full-body photo. The uploaded photo is sent to the server and output as the user's full-body photo.

[1031] Step 4: Recognize emotions

[1032] The device camera captures the user's facial expression, and the emotion engine recognizes the emotion from the facial expression. The input of the emotion recognition is the user's facial expression data, and the output is the recognized emotion information. The emotion information is sent to the server.

[1033] Step 5: Submit your information

[1034] The device sends the user's selected outfit, basic information, a full-body photo, and the recognized emotion to a server, where the information is integrated and used as input data for the generative AI.

[1035] Step 6: Generate synthetic images using generative AI

[1036] The server sends the received information (coordinates, basic information, full-body photo, and emotions) to the generation AI, which synthesizes the selected coordinates based on the user's full-body photo. The generation AI processes this input data and generates a composite image. The generated composite image is then returned to the server.

[1037] Step 7: Adjust your suggestions based on emotions

[1038] The server then adjusts the generated outfit suggestions based on the user's recognized emotions. For example, if the user is feeling depressed, it will suggest bright colors and relaxing styles. The server then reconstructs the outfit suggestions based on the user's emotional information and outputs optimized suggestions.

[1039] Step 8: Get Item Information

[1040] The server analyzes the composite image and extracts information about the item used, using image recognition technology, which is then output along with a link to the online store where the item can be purchased.

[1041] Step 9: View the results

[1042] The device displays the composite image received from the server along with a link to purchase the item. The user can check the composite image and click the purchase link to purchase the item they like from the online store. The user's operation triggers an actual purchase, and the purchase data is output.

[1043] (Application example 2)

[1044] 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."

[1045] Today's consumers often find it difficult to quickly find fashion that suits their individual sensibilities and moods. Furthermore, online shopping experiences lack a way to receive outfit suggestions that match a user's emotions and then instantly purchase them. Conventional systems are inadequate in providing outfit suggestions or specific purchasing links that match a user's emotions. Therefore, providing a satisfying online shopping experience for users is a challenge.

[1046] The identification process by the identification 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 a means for the user to select a preferred outfit, a means for inputting the user's basic information, a means for uploading the user's full-body photo, a means for recognizing the user's emotions, a generating means for generating a composite image based on the uploaded full-body photo, the user's preferred outfit information, and the recognized emotions, a means for acquiring information on items used based on the generated composite image, a means for acquiring purchase links related to the acquired item information from an e-commerce site, and a means for displaying the composite image and purchase links on the user terminal. This makes it possible to analyze the user's emotions, suggest optimal outfits based on the analysis, and provide purchase links for related items.

[1047] "User" refers to an individual who uses the system to select outfits, enter information, and upload photos.

[1048] "Coordination" refers to a combination of clothing and accessories that suit the user's preferences.

[1049] "Basic information" is information including attributes such as the user's age, sex, and body type.

[1050] "Full-body photo" refers to image data that captures the user's entire body.

[1051] "Emotion" refers to the psychological state of the user as recognized from their facial expressions and actions.

[1052] "Generation means" refers to technology that generates a synthetic image based on an uploaded full-body photo, coordination information, and recognized emotions.

[1053] The term "composite image" refers to an image in which a selected outfit is combined with a full-body photograph of the user.

[1054] "Item information" refers to detailed information about the clothing and accessories used in the composite image.

[1055] "Purchase Link" is the URL of the online store related to the item information.

[1056] The following describes an embodiment of the present invention. This invention is a system that recognizes a user's emotions, suggests optimal outfits based on those emotions, and provides links to purchase related items. The main parts of the system consist of a user terminal, a server, and a generative AI model.

[1057] 1. User Device: A user device is a device such as a smartphone or tablet that provides an interface for users to select their preferred outfits, enter basic information, and upload a full-body photo. It also uses a camera to capture the user's facial expressions and recognize their emotions.

[1058] 2. Server: The server is a computer system responsible for central processing. It receives basic information, a full-body photo, preferred outfit information, and recognized emotions sent by the user, and then requests a generative AI model to generate a composite image based on this information. It also obtains information about the items used based on the composite image and retrieves purchasing links related to those items from e-commerce sites.

[1059] 3. Generative AI model: The generative AI model synthesizes the selected outfit with the user's full-body photo. The generated composite image is coordinated in accordance with the user's preferences and emotions.

[1060] 4. Emotion Engine: The emotion engine is an artificial intelligence system that recognizes emotions from the user's facial expressions. The recognized emotions are sent to the server and used to adjust the coordination suggestions.

[1061] 5. Sending and receiving information: The user terminal sends the information and image selected by the user to the server, and the generated composite image and the obtained purchase link are displayed on the user terminal.

[1062] As a specific example, a user selects "simple style," enters information such as age 30, gender male, and typical body type, and uploads a full-body photo of themselves. From the user's facial expression captured by the camera on the user's device, the emotion engine recognizes that the user looks "tired." The server receives this information and requests the generative AI model to composite "simple style" clothing onto the full-body photo. This image includes a simple shirt, chinos, loafers, etc. The server retrieves item information based on the generated composite image and provides purchase links for "shirt: online store A," "chinos: online store B," and "loafers: online store C."

[1063] An example of a prompt is as follows:

[1064] "A 30-year-old male with a normal build uploaded a full-body photo. The emotion engine recognized that he looked 'tired.' Please suggest some simple clothing styles."

[1065] This invention makes it possible to analyze a user's emotions, suggest optimal outfits based on the emotions, and provide links to purchase related items.

[1066] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1067] Step 1:

[1068] The user terminal displays the initial screen. The user operates the interface to select a preferred outfit. The selection results are input to the user terminal and saved as preferred outfit information.

[1069] Step 2:

[1070] The user terminal prompts the user to enter basic information such as age, gender, and body type, and this basic information is saved on the user terminal. The input information becomes the data used in the next processing step.

[1071] Step 3:

[1072] The user terminal provides an interface for the user to upload his / her full-body photo. The user selects a file and uploads the full-body photo. The uploaded full-body photo is saved in the user terminal.

[1073] Step 4:

[1074] The user's facial expression is captured using the camera of the user device, and the emotion engine recognizes the emotion from the facial expression. The recognized emotion is stored on the user device. The input of emotion recognition is the captured facial expression image, and the output is the recognized emotion data.

[1075] Step 5:

[1076] The user terminal transmits the user's preferred outfit information, basic information, a full-body photo, and the recognized emotion to the server, and all of this data is transferred to the server.

[1077] Step 6:

[1078] Based on the data received by the server, the information is sent to the generative AI model. The generative AI model analyzes the received data and generates an image that combines the user's full-body photo with the selected outfit. The input data is the full-body photo, outfit information, and emotion data, and the output is the combined image.

[1079] Step 7:

[1080] The server receives the synthetic image from the generative AI model. It identifies the items used in the synthetic image and obtains detailed information about the items. The server then obtains related purchase links from e-commerce sites based on the obtained item information. The input in this step is the synthetic image, and the output is detailed item information and purchase links.

[1081] Step 8:

[1082] The server sends the composite image, detailed information about the acquired item, and a purchase link to the user's device. The user's device receives this data and displays the composite image and a purchase link containing the product information. The user can check the displayed information and purchase the item of interest from the online store.

[1083] 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.

[1084] 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.

[1085] 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.

[1086] [Fourth embodiment]

[1087] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1088] 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.

[1089] 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).

[1090] 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.

[1091] 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.

[1092] 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).

[1093] 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.

[1094] 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.

[1095] 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.

[1096] 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.

[1097] 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.

[1098] 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.

[1099] 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."

[1100] The present invention is a system that allows users to quickly find outfits that suit them and make purchasing decisions easier. This system allows users to select their preferred outfits, enter basic information, and upload a full-body photo of themselves, and based on this, a generative AI generates a composite image and provides purchase links for related items. We will now explain how the present invention is specifically implemented.

[1101] System configuration

[1102] 1. User terminal: A device operated by a user (such as a smartphone or PC). It provides an input interface and communicates with the server.

[1103] 2. Server: A central processing computer system that receives user input, works with the generative AI to generate a synthetic image, and provides a purchase link.

[1104] 3. Generative AI: An artificial intelligence system that synthesizes images. It processes outfits onto a user's full-body photo.

[1105] Program processing explanation

[1106] 1. Displaying the initial screen

[1107] The user terminal displays an interface on the initial screen that allows the user to select a preferred outfit. On this screen, multiple outfit images are displayed as a list, from which the user can select a preferred style.

[1108] 2. Enter basic information

[1109] The user's device displays a form for the user to enter basic information such as age, gender, and body type. The user enters the required information and proceeds to the next step.

[1110] 3. Upload a full-body photo

[1111] The user terminal provides an interface for the user to upload his / her own full-body photo, and the user selects a file and uploads the full-body photo.

[1112] 4. Transmission of Information

[1113] The user's device sends their preferred outfit, basic information, and a full-body photo to the server, which then begins processing based on the received information.

[1114] 5. Synthetic Image Generation Using Generative AI

[1115] The server sends the received information to the generation AI, which synthesizes the selected outfit based on the user's full-body photo. The generation AI then performs the synthesis process and generates an image that combines the outfit with the user's full-body photo.

[1116] 6. Obtaining item information

[1117] Once the composite image is generated, the server analyzes it to obtain information about the items used, and based on that information, retrieves product details and a purchase link from the online store.

[1118] 7. Displaying the results

[1119] The user's device displays the composite image and the purchase link for the item received from the server. The user can check the composite image displayed and purchase the item they like by accessing the online store using the purchase link.

[1120] Specific examples

[1121] For example, suppose a user selects that they prefer a "casual style," enters their age (25), gender (female), and body type (slim), and uploads a full-body photo of themselves. The server receives this information and requests the generation AI to composite "casual style" clothing into the full-body photo. The generated image includes a casual shirt, denim pants, sneakers, etc. Based on this image, the server obtains item information and provides purchase links for, for example, "Shirt: Online Store A," "Denim Pants: Online Store B," and "Sneakers: Online Store C." The user can view the composite image on the screen and click the purchase link for the item they like to purchase from the online store.

[1122] In this way, the system of the present invention provides an environment in which users can quickly find clothes that suit them and easily purchase them.

[1123] The processing flow will be explained below.

[1124] Step 1:

[1125] The user terminal displays an initial screen, which displays a list of multiple outfit images. The user can select a style they like from these images.

[1126] Step 2:

[1127] The user selects a coordinated image of their choice, and the selected image is sent from the user terminal to the server.

[1128] Step 3:

[1129] The user terminal displays a basic information input form for the user, which includes items such as "age," "gender," and "body type."

[1130] Step 4:

[1131] The user enters basic information and clicks a button to proceed to the next step. The entered information is sent from the user terminal to the server.

[1132] Step 5:

[1133] The user's device displays the full-body photo upload interface. The user selects a photo from the file selection dialog and clicks the upload button.

[1134] Step 6:

[1135] A full-body photo is uploaded and sent from the user's device to the server, which then receives the user's preferred outfit, basic information, and full-body photo all at once.

[1136] Step 7:

[1137] Based on the information received, the server sends an image synthesis request to the generation AI, which includes the user's full-body photo and selected outfit information.

[1138] Step 8:

[1139] The AI ​​generates a composite image using the user's full-body photo and the selected outfit information, and the generated composite image is sent back to the server.

[1140] Step 9:

[1141] The server receives the composite image, which is then analyzed by the server to identify information about the item used.

[1142] Step 10:

[1143] For each identified item, the server uses the online store's API to retrieve details and a purchase link.

[1144] Step 11:

[1145] The server transmits the composite image and a link to purchase the item to the user terminal.

[1146] Step 12:

[1147] The user's device displays the composite image and a link to purchase the item. The user can click the link provided to purchase the item from the online store.

[1148] In this way, specific processing is performed at each step, and the system allows users to quickly find and purchase outfits that suit them.

[1149] Example 1

[1150] 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."

[1151] In today's online shopping environment, there is a demand for an environment that allows users to quickly and easily find outfits that suit them and make purchasing decisions. However, conventional methods require users to individually select items, then combine and check them, which is time-consuming, and it is difficult for them to visually visualize an outfit that suits them. Furthermore, the process of efficiently obtaining items related to the outfit a user has selected and actually purchasing them is complicated, so there is a demand for a system that streamlines and automates this process.

[1152] 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.

[1153] In this invention, the server includes means for a user to select a preferred outfit, means for inputting user attribute information, means for uploading a full-body image of the user, means for generating a composite image based on the uploaded full-body image and the user's preferred outfit information, means for acquiring information on items used based on the generated composite image, means for acquiring purchase links related to the acquired item information from a communication network, and means for displaying the composite image and purchase links on a user terminal, thereby enabling a user to easily find a coordinated outfit that suits them and then quickly and efficiently purchase related products.

[1154] A "user terminal" is an information processing device operated by a user, and includes devices such as a smartphone and a personal computer.

[1155] The "server" is a computer system that performs central processing, processes data received from user terminals, and returns the generated composite image and purchase link.

[1156] "Attribute information" refers to basic information about a user, including age, gender, body type, and the like.

[1157] "Full-body image" refers to a digital image of the user's entire body that the system uses for analysis.

[1158] "Outfit" refers to the coordination selected by the user, and is style information including the combination of clothing and accessories.

[1159] "Generating means" refers to a means for executing a process for generating a composite image based on uploaded full-body images and outfit information.

[1160] "Item" refers to an individual item contained within a composite image, including tangible goods such as clothing or accessories.

[1161] "Communications network" refers to an infrastructure for transmitting digital information, such as the Internet.

[1162] "Purchase Link" refers to a web link that allows a user to purchase a product directly from an online store based on the information provided by the system.

[1163] This invention is a system that allows users to quickly find outfits that suit them and make purchasing decisions easier. This system allows users to select their preferred outfits, enter attribute information, and upload a full-body image, and based on this, a generative AI generates a composite image and provides purchasing links for related items.

[1164] First, the user terminal is implemented using a smartphone, personal computer, etc. An interface is displayed on the user terminal, and the user selects their preferred outfit. Also, on the same interface, the user can enter their own attribute information (age, gender, body type, etc.) and upload a full-body image.

[1165] The uploaded full-body image and the outfit information selected by the user are sent from the user's device to the server. The server receives this data and sends it to the generative AI, which starts the process of generating a synthetic image. The generative AI model generates the synthetic image using, for example, deep learning technology. The following is an example of a prompt sentence that can be used:

[1166] "Please composite a full-body photo of a 25-year-old female with a slim build wearing casual clothing."

[1167] After the generative AI model generates the synthetic image, the server receives the synthetic image and then extracts information about the items used in the synthetic image. The information about the items is specific items such as a shirt, denim pants, or sneakers. The server uses this information to obtain a purchase link associated with each item from an online store. The obtained purchase link is then sent to the user's device.

[1168] Finally, the user's device displays the composite image and associated purchase links to the user. The user can review the composite image generated on this screen, click the purchase link for the item they like, and purchase it directly from the online store. This process allows users to easily find an outfit that suits them and quickly and efficiently purchase related products.

[1169] This system greatly improves the convenience of online shopping by allowing users to visually check which clothes suit them best and make purchasing decisions quickly.

[1170] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1171] Step 1:

[1172] The user terminal displays an interface on an initial screen that allows the user to select a preferred outfit.

[1173] Input: Initial screen image data

[1174] Output: User selects their preferred outfit

[1175] Specifically, the user terminal displays a list of multiple coordinated outfit images, and the user selects a style they like by clicking on it.

[1176] Step 2:

[1177] The user terminal displays a form that prompts the user to input attribute information.

[1178] Input: Attribute information such as age, gender, and body type

[1179] Output: Input attribute information data

[1180] Specifically, information is entered in the form of a list box or radio buttons, and the information is confirmed when the user clicks a confirmation button.

[1181] Step 3:

[1182] The user terminal provides an interface that allows the user to upload a full-body image.

[1183] Input: User's full-body image file

[1184] Output: Uploaded whole-body image data

[1185] Specifically, a file selection button is displayed, and the user selects a full-body image from the local disk and uploads it. Clicking the upload button confirms the data.

[1186] Step 4:

[1187] The user terminal transmits the preferred outfit, attribute information, and a full-body image to the server.

[1188] Input: Preferred outfit, attribute information, uploaded full-body image data

[1189] Output: User data sent to the server

[1190] Specifically, the form contents and the uploaded image are sent together to the server as a POST request.

[1191] Step 5:

[1192] The server receives the user data and sends it to the generating AI.

[1193] Input: Preferred outfit, attribute information, full-body image data

[1194] Output: Request data to the generation AI

[1195] Specifically, it validates the incoming data, creates an API request to the generative AI model, and sends it along with a prompt. An example of the prompt is, "Please combine a full-body photo of a 25-year-old woman with a slim build and casual clothing."

[1196] Step 6:

[1197] Generative AI generates a synthetic image.

[1198] Input: Request data and prompt for the generated AI

[1199] Output: Composite image data

[1200] Specifically, the generative AI model uses deep learning techniques to generate a synthetic image and then sends the generated image back to the server.

[1201] Step 7:

[1202] A server receives the composite image and extracts the item information.

[1203] Input: Synthetic image data

[1204] Output: Product information data

[1205] Specifically, the composite image is passed through an image analysis algorithm to identify the type and brand of item used.

[1206] Step 8:

[1207] The server acquires a purchase link from the online store based on the extracted product information.

[1208] Input: Product information data

[1209] Output: Purchase link data

[1210] Specifically, it uses the online store's API to retrieve detailed information and purchase links for each item.

[1211] Step 9:

[1212] The server transmits the composite image and the purchase link to the user terminal.

[1213] Input: Composite image data, purchase link data

[1214] Output: Composite image and purchase link data sent to user device

[1215] Specifically, the system creates JSON data containing the generated composite image and a purchase link for each item, and sends it to the user's device.

[1216] Step 10:

[1217] The user terminal displays the composite image and the purchase link to the user.

[1218] Input: Composite image and purchase link data sent from the server

[1219] Output: A composite image and a purchase link shown to the user

[1220] Specifically, the system displays the composite image and purchase links for each item on the screen, and the user can review them, click on the item they like, and purchase it from the online store.

[1221] (Application example 1)

[1222] 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."

[1223] With the recent increase in online shopping, it has become increasingly important for users to quickly find outfits that suit them. However, it is difficult to find clothes and styles that suit them without actually trying them on, making purchasing decisions difficult. To solve this problem, a system is needed that allows users to try on outfits in real time in a virtual environment and provides specific purchasing links based on the synthesized images.

[1224] 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.

[1225] In this invention, the server includes means for the user to select a preferred style, means for inputting basic information about the user, means for uploading a full-body image of the user, means for generating a composite image based on the uploaded full-body image and the user's preferred style information, means for acquiring information about components used based on the generated composite image, means for acquiring a purchase link related to the acquired information about the components from an online sales site, means for displaying the composite image and the purchase link on a display device, and means for trying on the user's selected outfit in real time within a virtual environment, thereby enabling the user to easily find a style that suits them and make a purchasing decision.

[1226] "User" refers to an individual or corporation that uses the system.

[1227] "Preferred style" refers to the fashion and coordination that the user selects and thinks suits them.

[1228] "Basic information" refers to personal information such as the user's age, gender, height, and body type.

[1229] "Full-body image" refers to a photograph or image that shows the user's entire body.

[1230] "Generation method" refers to the technology that uses generative AI to create a composite image based on an uploaded full-body image and the user's preferred style information.

[1231] "Components" refer to the fashion items and accessories used in the composite image.

[1232] The "means for acquiring" refers to a technology for acquiring information about components and related purchase links from an online sales site based on the generated composite image.

[1233] "Display device" refers to a device for displaying a composite image and a purchase link on a user terminal.

[1234] "Virtual environment" refers to an environment in which users can operate the system and try out coordination within a virtual reality space.

[1235] "Means for trying on clothes in real time" refers to technology that allows users to immediately check their selected outfits in a virtual environment.

[1236] MODE FOR CARRYING OUT THE INVENTION

[1237] The present invention is a system that allows users to quickly find outfits that suit them and make purchasing decisions easily. This system allows users to try on outfits in real time in a virtual environment and provides specific purchase links based on the synthesized images. The following describes how the present invention is specifically implemented.

[1238] System configuration

[1239] 1. User Device: A device operated by the user, such as smart glasses or a head-mounted display (HMD), allows the user to walk around the shopping mall in a virtual environment and select outfits.

[1240] 2. Display device: A device that displays the composite image and purchase links on the user's terminal.

[1241] 3. Server: A central processing computer system that receives user input, works with the generative AI to generate a synthetic image, and provides a purchase link.

[1242] 4. Generative AI: An artificial intelligence system that synthesizes images and synthesizes selected outfits based on the user's full-body image.

[1243] Program processing description

[1244] 1. Displaying the initial screen

[1245] The user terminal displays an interface on the initial screen that allows the user to select a preferred style. This screen displays a list of multiple styles that can be used in the virtual shopping mall, allowing the user to choose their preferred style from multiple coordinations.

[1246] 2. Enter basic information

[1247] The user terminal displays a form for the user to enter basic information such as age, gender, body type, etc. The user enters the required information and proceeds to the next step.

[1248] 3. Upload a full-body photo

[1249] The user terminal provides an interface for the user to upload a full-body photo of themselves, and once the user uploads the full-body photo, the information is sent to the server.

[1250] 4. Synthetic image generation using generative AI

[1251] The server sends the received information to the generation AI, which synthesizes the selected style based on the user's full-body photo. The generation AI then performs the synthesis process and generates an image that combines the selected outfit with the user's full-body photo.

[1252] 5. Get a purchase link

[1253] Once the composite image is generated, the server analyzes the image to obtain information about the components used, and based on the obtained components, retrieves product details and purchase links from online retailers.

[1254] 6. Displaying the results

[1255] The user terminal displays the composite image and the purchase links for the components received from the server. The user can check the composite image displayed and purchase the items they like by accessing the online store via the purchase links.

[1256] Hardware and software used

[1257] Hardware: VR headsets such as Oculus Quest 2 and HTC Vive

[1258] Software: VR SDK (a software development kit that includes virtual environment settings and UI), Generative AI Model SDK (an AI model for image synthesis)

[1259] Data processing and calculation

[1260] Initialize the runtime environment: Initialize the VR environment and user interface. Download multiple style images that the user can select and display them on the initial screen.

[1261] Collecting user information: Collect basic information such as age, gender, body type, and full-body images from users.

[1262] Synthetic image generation: Using collected user information and a full-body image, generative AI is used to emulate how the selected style would look on the user.

[1263] Analysis and display of purchase links: The generated composite image is analyzed to obtain purchase links for the fashion items used and display them to the user.

[1264] Specific examples

[1265] For example, consider a scenario where a user selects "chic style," inputs their age (30), gender (male), and build (athletic), and uploads a full-body image. Generative AI uses this information to synthesize a chic style outfit (dark suit, colored shirt, and leather shoes) into the full-body photo. This image is displayed in real time on the user's avatar in the VR environment, and additionally provides purchasing links for "Suit: Online Store," "Shirt: Online Store," and "Leather Shoes: Online Store."

[1266] Example prompts for generative AI models

[1267] "Prompt to generate a composite image of a slim 25-year-old female wearing a casual outfit, including a casual shirt, denim pants, and sneakers, based on the provided full-body photo."

[1268] In this way, the system of the present invention provides a real-time try-on experience in a virtual environment, allowing users to easily enjoy shopping.

[1269] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1270] Step 1:

[1271] The user terminal displays an initial screen. The user terminal provides an interface that displays a list of multiple styles that can be used in the virtual shopping mall. The input is the user's preferred style candidates, and the output is a list of selectable style images. The user selects their preferred style from this list.

[1272] Step 2:

[1273] The user terminal displays a form for inputting basic information such as age, gender, and body type. The input is the user's basic information, and the output is basic information data for proceeding to the next step. In this step, a form for the user to input their own basic information is displayed.

[1274] Step 3:

[1275] The user terminal provides an interface for uploading a full-body photo. The input is the full-body photo uploaded by the user, and the output is the uploaded full-body photo data. In this step, the user selects their own full-body photo and uploads it to the system.

[1276] Step 4:

[1277] The server receives the preferred style, basic information, and full-body photo sent from the user's device. The input is the user's preferred style, basic information, and full-body photo, and the output is the user data for proceeding to the next step. Based on this data, the server prepares to request processing from the generation AI.

[1278] Step 5:

[1279] The server sends the user's full-body photo and preferred style information to the generation AI and requests it to generate a composite image. The input is the user's full-body photo and preferred style information, and the output is the generated composite image. The generation AI generates an image that combines the selected style based on the full-body photo.

[1280] Step 6:

[1281] The server analyzes the generated composite image and obtains information about the components used. The input is the generated composite image, and the output is information about the components used. The composite image is analyzed using image recognition technology to identify each component.

[1282] Step 7:

[1283] The server retrieves purchase links related to components from an online sales site. The input is component information, and the output is a purchase link corresponding to each component. This allows users to quickly access the purchase link.

[1284] Step 8:

[1285] The user terminal displays the composite image and purchase link received from the server. The input is the composite image and purchase link, and the output is a screen displayed to the user. The user can check the composite image on this screen and purchase the item they like.

[1286] Step 9:

[1287] The user terminal allows the user to try on the style selected by the user in real time within a virtual environment. The input is the preferred style and a full-body photo, and the output is a real-time try-on experience within the virtual environment. The user can experience the outfits in the virtual space through the HMD.

[1288] 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.

[1289] This invention provides a system that recognizes a user's emotions and suggests the most suitable outfits for the user based on those emotions. Specifically, the system allows users to select their preferred outfits, enter basic information, and upload a full-body photo of themselves. Based on this, a generative AI generates a composite image and provides links to purchase related items. Furthermore, an emotion engine that recognizes the user's emotions is incorporated, and outfit suggestions are made based on the user's emotions.

[1290] System configuration

[1291] 1. User terminal: A device operated by a user (such as a smartphone or PC). It provides an input interface and communicates with the server.

[1292] 2. Server: A central processing computer system that receives user input, works with the generative AI to generate synthetic images, provides purchase links, and analyzes user emotions using an emotion engine.

[1293] 3. Generative AI: An artificial intelligence system that synthesizes images. It processes outfits onto a user's full-body photo.

[1294] 4. Emotion Engine: An artificial intelligence system that recognizes the user's emotions and adjusts its outfit suggestions accordingly.

[1295] Program processing explanation

[1296] 1. Displaying the initial screen

[1297] The user terminal displays an interface on the initial screen that allows the user to select a preferred outfit. On this screen, multiple outfit images are displayed as a list, from which the user can select a preferred style.

[1298] 2. Enter basic information

[1299] The user's device displays a form for the user to enter basic information such as age, gender, and body type. The user enters the required information and proceeds to the next step.

[1300] 3. Upload a full-body photo

[1301] The user terminal provides an interface for the user to upload his / her own full-body photo, and the user selects a file and uploads the full-body photo.

[1302] 4. Emotional Recognition

[1303] The user device captures the user's facial expressions with a camera, and the emotion engine recognizes the emotion from the captured images. This information is also sent to the server.

[1304] 5. Transmission of Information

[1305] The user's preferred outfits, basic information, a full-body photo, and the recognized emotions are sent to the server, which then begins processing based on the received information.

[1306] 6. Synthetic Image Generation Using Generative AI

[1307] The server sends the received information to the generation AI, which synthesizes the selected outfit based on the user's full-body photo. The generation AI then performs the synthesis process and generates an image that combines the outfit with the user's full-body photo.

[1308] 7. Adjusting suggestions based on emotions

[1309] The server then tailors the generated outfit suggestions based on the perceived emotion, suggesting bright colors and relaxing styles if the user is feeling down, for example.

[1310] 8. Obtaining Item Information

[1311] Once the composite image is generated, the server analyzes it to obtain information about the items used, and based on that information, retrieves product details and a purchase link from the online store.

[1312] 9. Displaying the results

[1313] The user's device displays the composite image and the purchase link for the item received from the server. The user can check the composite image displayed and purchase the item they like by accessing the online store using the purchase link.

[1314] Specific examples

[1315] For example, suppose a user selects "Simple Style," enters information such as age 30, gender male, and average build, and uploads a full-body photo of themselves. In addition, the emotion engine recognizes that the user's facial expression captured by the camera on the user's device indicates that they look "tired." The server receives this information and requests the generation AI to composite "Simple Style" clothing onto the full-body photo. The generated image includes a simple shirt, chinos, loafers, etc. The server obtains item information based on this image and provides purchase links for "Shirt: Online Store A," "Chinos: Online Store B," and "Loafers: Online Store C." The user can view the composite image on the screen and click the purchase link for the item they like to purchase from the online store.

[1316] The server can also tailor suggestions for relaxing, casual styles based on the user's perceived "tired" emotion. In this way, the system of the present invention provides an environment in which users can quickly find and easily purchase outfits that reflect their emotions and preferences.

[1317] The processing flow will be explained below.

[1318] Step 1:

[1319] The user terminal displays an initial screen, which displays a list of multiple coordinated outfit images. The user can then select their preferred style from these images.

[1320] Step 2:

[1321] The user selects the coordinated image of their choice. Once the selection is complete, the information is sent from the user terminal to the server.

[1322] Step 3:

[1323] The user terminal displays a basic information input form to the user, which includes input fields for "age," "gender," and "body type."

[1324] Step 4:

[1325] The user enters basic information and clicks the send button when they are finished. The entered basic information is sent from the user terminal to the server.

[1326] Step 5:

[1327] The user terminal displays the full-body photo upload interface, and the user selects his / her own full-body photo and clicks the upload button.

[1328] Step 6:

[1329] A full-body photo of the user is uploaded and sent to the server via the user's device. The server receives the user's preferred outfits, basic information, and the full-body photo.

[1330] Step 7:

[1331] The user device activates the camera and captures the user's facial expressions. The emotion engine analyzes the captured facial data and recognizes the emotion.

[1332] Step 8:

[1333] The emotion data recognized by the emotion engine is also sent to the server, which then begins processing based on this information.

[1334] Step 9:

[1335] The server sends the received information to the generation AI. The request includes a full-body photo of the user, their preferred outfits, and the recognized emotion.

[1336] Step 10:

[1337] The AI ​​generates a composite image using the user's full-body photo and the selected outfit information, and the generated composite image is sent back to the server.

[1338] Step 11:

[1339] The server receives the synthesized image and adjusts the suggestions based on the perceived emotion. For example, if the user is perceived as "tired," it will prioritize suggestions for items that promote relaxation.

[1340] Step 12:

[1341] The server analyzes the composite image and obtains information about the item used. Based on the obtained item information, the server uses the online store's API to obtain detailed information and a purchase link.

[1342] Step 13:

[1343] The server transmits the synthetic image and a purchasing link for the associated item to the user terminal.

[1344] Step 14:

[1345] The user's device displays the composite image and a link to purchase the item. By clicking the link, the user can access the online store and purchase the item.

[1346] As a specific example, suppose a user selects "casual style," enters information such as age 25, gender female, and slim build, and uploads a full-body photo of themselves. Furthermore, if the emotion engine recognizes the user's facial expression as "having fun," the server will use this information to request a generation AI to synthesize "casual style" clothing. The generated image includes a light-colored shirt, denim pants, and sneakers. Based on this image, the server obtains item information and provides purchase links for "shirt: online store A," "denim pants: online store B," and "sneakers: online store C." The user can view the synthesized image on the screen and purchase items they like from the online stores.

[1347] Example 2

[1348] 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."

[1349] Conventional outfit suggestion systems do not consider the user's emotions when proposing outfits, making it difficult to provide optimal suggestions that reflect the user's psychological state. Furthermore, there are limited ways for users to try on outfits using their own photos, making it difficult for these systems to lead to actual purchasing behavior.

[1350] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes a means for the user to select a preferred outfit, a means for inputting the user's basic information, a means for uploading the user's full-body photo, a means for capturing the user's facial expression and recognizing the emotion, a generating means for generating a composite image based on the uploaded full-body photo and the user's preferred outfit information, a means for adjusting the outfit suggestion content based on the recognized emotion, a means for acquiring information on the items used based on the generated composite image, a means for acquiring a purchase link related to the acquired item information from an online store, and a means for displaying the composite image and the purchase link on the user terminal. This enables optimal outfit suggestions that take the user's emotions and preferences into consideration, and effectively guides the user to actual purchasing behavior.

[1351] definition statement

[1352] The "means for the user to select a preferred coordination" is a function that provides an interface for the user to select a preferred style from among a number of coordinations.

[1353] "Means for inputting basic user information" is a function that provides a form for users to input basic information such as their age, sex, and body type.

[1354] The "means for uploading a user's full-body photo" is a function that provides an interface for a user to upload their own full-body photo to the system.

[1355] "Means for capturing the user's facial expressions and recognizing their emotions" refers to a function that captures the user's facial expressions with a camera and analyzes their emotions from those expressions.

[1356] The "generation means" is a function that generates a composite image based on a full-body photograph of the user and selected coordinate information.

[1357] The "means for adjusting the contents of the coordinate suggestion based on the recognized emotion" is a function for taking the emotion of the user into consideration and suggesting the most suitable coordinate to the user.

[1358] The "means for acquiring information on the items used" is a function for acquiring detailed information on the fashion items used in the composite image.

[1359] The "means for obtaining a purchase link from an online store" is a function for obtaining a link to an online store where an item can be purchased based on the obtained item information.

[1360] The "means for displaying the composite image and the purchase link on the user terminal" is a function for displaying the generated composite image and the associated purchase link on the screen of the terminal used by the user.

[1361] MODE FOR CARRYING OUT THE INVENTION

[1362] This invention provides a system that recognizes a user's emotions and suggests optimal outfits for the user based on those emotions. This system is composed of the following elements: a user terminal operated by the user, a central processing server, a generation AI, and an emotion engine.

[1363] User terminal

[1364] A user terminal is a device (such as a smartphone or PC) operated by a user. The user terminal provides an interface that allows the user to input outfit selections, input basic information, and upload a full-body photo.

[1365] server

[1366] The server is a central processing computer system that receives information sent by the user (coordinate selection, basic information, full-body photo, and recognized emotion) and performs the following processes.

[1367] The data is sent to the generation AI, which generates a composite image that combines the selected outfit with the user's full-body photo.

[1368] The coordinated outfit suggestions are adjusted based on the user's emotions recognized by the emotion engine.

[1369] Information on the item used is obtained from the composite image, and a related purchase link is obtained from the online store.

[1370] Generation AI

[1371] Generative AI is an artificial intelligence system that generates composite images based on a user's full-body photo and selected outfit information. Generative AI uses advanced image processing technology to generate realistic composite images.

[1372] Emotion Engine

[1373] The emotion engine is an AI system that captures the user's facial expressions and recognizes their emotions from them. The recognized emotions are sent to the server and used to adjust the outfit suggestions.

[1374] Specific examples

[1375] For example, suppose a user selects "Simple Style" and enters information such as age 30, gender male, and average build. Furthermore, the emotion engine recognizes that the user looks "tired" from the user's facial expression captured by the camera on the user's device. The server receives this information and requests the generation AI to composite "Simple Style" clothing into a full-body photo. The generated image includes a simple shirt, chinos, loafers, etc. Based on this image, the server obtains item information and provides purchase links for "Shirt: Online Store A," "Chinos: Online Store B," and "Loafers: Online Store C." The user can then view the composite image on the screen and click the purchase link for the item they like to purchase from the online store.

[1376] Furthermore, the server can adjust the proposal of a relaxed, casual style based on the recognized emotion of "feeling tired." The system of the present invention provides an environment in which a user can quickly find and easily purchase outfits that reflect their emotions and preferences.

[1377] Prompt Sentence Examples

[1378] "The user is a 30-year-old male, has selected Simple Style as his preferred style, and has uploaded a full-body photo. He is feeling tired. Display a composite image generated based on these conditions, and generate and display purchase links for related items."

[1379] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1380] Program processing flow

[1381] Step 1: Displaying the initial screen

[1382] The device displays an interface on the initial screen that allows the user to select an outfit. Specifically, multiple outfit images are displayed as a list, and the user can choose their preferred style from these. The user's input is output as the selected outfit information.

[1383] Step 2: Enter basic information

[1384] The device displays a form for the user to enter basic information such as age, gender, and body type. The user enters the required information and proceeds to the next step. The entered information is output as the user's basic information.

[1385] Step 3: Upload a full-body photo

[1386] The device provides an interface for users to upload their full-body photo. The user selects a file and uploads the full-body photo. The uploaded photo is sent to the server and output as the user's full-body photo.

[1387] Step 4: Recognize emotions

[1388] The device camera captures the user's facial expression, and the emotion engine recognizes the emotion from the facial expression. The input of the emotion recognition is the user's facial expression data, and the output is the recognized emotion information. The emotion information is sent to the server.

[1389] Step 5: Submit your information

[1390] The device sends the user's selected outfit, basic information, a full-body photo, and the recognized emotion to a server, where the information is integrated and used as input data for the generative AI.

[1391] Step 6: Generate synthetic images using generative AI

[1392] The server sends the received information (coordinates, basic information, full-body photo, and emotions) to the generation AI, which synthesizes the selected coordinates based on the user's full-body photo. The generation AI processes this input data and generates a composite image. The generated composite image is then returned to the server.

[1393] Step 7: Adjust your suggestions based on emotions

[1394] The server then adjusts the generated outfit suggestions based on the user's recognized emotions. For example, if the user is feeling depressed, it will suggest bright colors and relaxing styles. The server then reconstructs the outfit suggestions based on the user's emotional information and outputs optimized suggestions.

[1395] Step 8: Get Item Information

[1396] The server analyzes the composite image and extracts information about the item used, using image recognition technology, which is then output along with a link to the online store where the item can be purchased.

[1397] Step 9: View the results

[1398] The device displays the composite image received from the server along with a link to purchase the item. The user can check the composite image and click the purchase link to purchase the item they like from the online store. The user's operation triggers an actual purchase, and the purchase data is output.

[1399] (Application example 2)

[1400] 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."

[1401] Today's consumers often find it difficult to quickly find fashion that suits their individual sensibilities and moods. Furthermore, online shopping experiences lack a way to receive outfit suggestions that match a user's emotions and then instantly purchase them. Conventional systems are inadequate in providing outfit suggestions or specific purchasing links that match a user's emotions. Therefore, providing a satisfying online shopping experience for users is a challenge.

[1402] The identification process by the identification 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 a means for the user to select a preferred outfit, a means for inputting the user's basic information, a means for uploading the user's full-body photo, a means for recognizing the user's emotions, a generating means for generating a composite image based on the uploaded full-body photo, the user's preferred outfit information, and the recognized emotions, a means for acquiring information on items used based on the generated composite image, a means for acquiring purchase links related to the acquired item information from an e-commerce site, and a means for displaying the composite image and purchase links on the user terminal. This makes it possible to analyze the user's emotions, suggest optimal outfits based on the analysis, and provide purchase links for related items.

[1403] "User" refers to an individual who uses the system to select outfits, enter information, and upload photos.

[1404] "Coordination" refers to a combination of clothing and accessories that suit the user's preferences.

[1405] "Basic information" is information including attributes such as the user's age, sex, and body type.

[1406] "Full-body photo" refers to image data that captures the user's entire body.

[1407] "Emotion" refers to the psychological state of the user as recognized from their facial expressions and actions.

[1408] "Generation means" refers to technology that generates a synthetic image based on an uploaded full-body photo, coordination information, and recognized emotions.

[1409] The term "composite image" refers to an image in which a selected outfit is combined with a full-body photograph of the user.

[1410] "Item information" refers to detailed information about the clothing and accessories used in the composite image.

[1411] "Purchase Link" is the URL of the online store related to the item information.

[1412] The following describes an embodiment of the present invention. This invention is a system that recognizes a user's emotions, suggests optimal outfits based on those emotions, and provides links to purchase related items. The main parts of the system consist of a user terminal, a server, and a generative AI model.

[1413] 1. User Device: A user device is a device such as a smartphone or tablet that provides an interface for users to select their preferred outfits, enter basic information, and upload a full-body photo. It also uses a camera to capture the user's facial expressions and recognize their emotions.

[1414] 2. Server: The server is a computer system responsible for central processing. It receives basic information, a full-body photo, preferred outfit information, and recognized emotions sent by the user, and then requests a generative AI model to generate a composite image based on this information. It also obtains information about the items used based on the composite image and retrieves purchasing links related to those items from e-commerce sites.

[1415] 3. Generative AI model: The generative AI model synthesizes the selected outfit with the user's full-body photo. The generated composite image is coordinated in accordance with the user's preferences and emotions.

[1416] 4. Emotion Engine: The emotion engine is an artificial intelligence system that recognizes emotions from the user's facial expressions. The recognized emotions are sent to the server and used to adjust the coordination suggestions.

[1417] 5. Sending and receiving information: The user terminal sends the information and image selected by the user to the server, and the generated composite image and the obtained purchase link are displayed on the user terminal.

[1418] As a specific example, a user selects "simple style," enters information such as age 30, gender male, and typical body type, and uploads a full-body photo of themselves. From the user's facial expression captured by the camera on the user's device, the emotion engine recognizes that the user looks "tired." The server receives this information and requests the generative AI model to composite "simple style" clothing onto the full-body photo. This image includes a simple shirt, chinos, loafers, etc. The server retrieves item information based on the generated composite image and provides purchase links for "shirt: online store A," "chinos: online store B," and "loafers: online store C."

[1419] An example of a prompt is as follows:

[1420] "A 30-year-old male with a normal build uploaded a full-body photo. The emotion engine recognized that he looked 'tired.' Please suggest some simple clothing styles."

[1421] This invention makes it possible to analyze a user's emotions, suggest optimal outfits based on the emotions, and provide links to purchase related items.

[1422] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1423] Step 1:

[1424] The user terminal displays the initial screen. The user operates the interface to select a preferred outfit. The selection results are input to the user terminal and saved as preferred outfit information.

[1425] Step 2:

[1426] The user terminal prompts the user to enter basic information such as age, gender, and body type, and this basic information is saved on the user terminal. The input information becomes the data used in the next processing step.

[1427] Step 3:

[1428] The user terminal provides an interface for the user to upload his / her full-body photo. The user selects a file and uploads the full-body photo. The uploaded full-body photo is saved in the user terminal.

[1429] Step 4:

[1430] The user's facial expression is captured using the camera of the user device, and the emotion engine recognizes the emotion from the facial expression. The recognized emotion is stored on the user device. The input of emotion recognition is the captured facial expression image, and the output is the recognized emotion data.

[1431] Step 5:

[1432] The user terminal transmits the user's preferred outfit information, basic information, a full-body photo, and the recognized emotion to the server, and all of this data is transferred to the server.

[1433] Step 6:

[1434] Based on the data received by the server, the information is sent to the generative AI model. The generative AI model analyzes the received data and generates an image that combines the user's full-body photo with the selected outfit. The input data is the full-body photo, outfit information, and emotion data, and the output is the combined image.

[1435] Step 7:

[1436] The server receives the synthetic image from the generative AI model. It identifies the items used in the synthetic image and obtains detailed information about the items. The server then obtains related purchase links from e-commerce sites based on the obtained item information. The input in this step is the synthetic image, and the output is detailed item information and purchase links.

[1437] Step 8:

[1438] The server sends the composite image, detailed information about the acquired item, and a purchase link to the user's device. The user's device receives this data and displays the composite image and a purchase link containing the product information. The user can check the displayed information and purchase the item of interest from the online store.

[1439] 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.

[1440] 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.

[1441] 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.

[1442] 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.

[1443] 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.

[1444] 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.

[1445] 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).

[1446] 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.

[1447] 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."

[1448] 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.

[1449] 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).

[1450] 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.

[1451] 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.

[1452] 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.

[1453] 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.

[1454] 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.

[1455] 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.

[1456] 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.

[1457] 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.

[1458] 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.

[1459] 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.

[1460] The following is further disclosed regarding the above embodiment.

[1461] (Claim 1)

[1462] A means for a user to select a preferred outfit;

[1463] a means for inputting basic information about a user;

[1464] a means for uploading a full-body photograph of the user;

[1465] a generating means for generating a composite image based on the uploaded full-body photograph and the user's preferred coordination information;

[1466] A means for acquiring information about the item used based on the generated composite image;

[1467] A means for obtaining a purchase link related to the obtained item information from an online store;

[1468] A means for displaying the composite image and the purchase link on the user terminal.

[1469] A system including:

[1470] (Claim 2)

[1471] The system of claim 1, further comprising means for analyzing the uploaded full-body photo and preferred outfit information.

[1472] (Claim 3)

[1473] 10. The system of claim 1, further comprising image recognition means for identifying the item based on the composite image.

[1474] "Example 1"

[1475] (Claim 1)

[1476] a means for the user to select a preferred outfit;

[1477] A means for inputting user attribute information;

[1478] means for uploading a full-body image of the user;

[1479] a generating means for generating a composite image based on the uploaded full-body image and the user's preferred outfit information;

[1480] A means for acquiring information about the article used based on the generated composite image;

[1481] means for acquiring a purchase link related to the acquired product information from a communication network;

[1482] A means for displaying the composite image and the purchase link on the user terminal.

[1483] A system including:

[1484] (Claim 2)

[1485] 10. The system of claim 1, further comprising means for analyzing the uploaded full-body image and preferred outfit information.

[1486] (Claim 3)

[1487] 10. The system of claim 1, further comprising information processing means for identifying the item based on the composite image.

[1488] "Application Example 1"

[1489] (Claim 1)

[1490] a means for the user to select a preferred style;

[1491] a means for inputting basic information about a user;

[1492] means for uploading a full-body image of the user;

[1493] a generating means for generating a composite image based on the uploaded whole-body image and the user's preferred style information;

[1494] A means for acquiring information on components used based on the generated composite image;

[1495] A means for acquiring a purchasing link related to the acquired component information from an online sales site;

[1496] means for displaying the composite image and the purchase link on a display device;

[1497] A means for users to try on outfits they have selected in real time within a virtual environment.

[1498] A system including:

[1499] (Claim 2)

[1500] 10. The system of claim 1, further comprising means for analyzing the uploaded full-body image and preferred style information.

[1501] (Claim 3)

[1502] 10. The system of claim 1, further comprising image recognition means for identifying components based on the composite image.

[1503] "Example 2: Combining Emotion Engines"

[1504] (Claim 1)

[1505] A means for a user to select a preferred outfit;

[1506] a means for inputting basic information about a user;

[1507] a means for uploading a full-body photograph of the user;

[1508] means for capturing a user's facial expressions and recognizing emotions;

[1509] a generating means for generating a composite image based on the uploaded full-body photograph and the user's preferred coordination information;

[1510] means for adjusting outfit suggestions based on the recognized emotion;

[1511] A means for acquiring information about the item used based on the generated composite image;

[1512] A means for obtaining a purchase link related to the obtained item information from an online store;

[1513] A means for displaying the composite image and the purchase link on the user terminal.

[1514] A system including:

[1515] (Claim 2)

[1516] The system of claim 1, further comprising means for analyzing the uploaded full-body photo and preferred outfit information.

[1517] (Claim 3)

[1518] 10. The system of claim 1, further comprising image recognition means for identifying the item based on the composite image.

[1519] "Application example 2 when combining emotion engines"

[1520] (Claim 1)

[1521] A means for a user to select a preferred outfit;

[1522] a means for inputting basic information about a user;

[1523] a means for uploading a full-body photograph of the user;

[1524] means for recognizing a user's emotion;

[1525] a generating means for generating a composite image based on the uploaded full-body photograph, the user's preferred outfit information, and the user's recognized emotion;

[1526] A means for acquiring information about the item used based on the generated composite image;

[1527] means for acquiring a purchase link related to the acquired item information from an e-commerce site;

[1528] A means for displaying the composite image and the purchase link on the user terminal.

[1529] A system including:

[1530] (Claim 2)

[1531] The system of claim 1, further comprising means for analyzing the uploaded full-body photo, preferred outfit information, and recognized emotions.

[1532] (Claim 3)

[1533] 10. The system of claim 1, further comprising image recognition means for identifying the item based on the composite image. [Explanation of symbols]

[1534] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for a user to select a preferred outfit; a means for inputting basic information about a user; a means for uploading a full-body photograph of the user; a generating means for generating a composite image based on the uploaded full-body photograph and the user's preferred coordination information; A means for acquiring information about the item used based on the generated composite image; A means for obtaining a purchase link related to the obtained item information from an online store; A means for displaying the composite image and the purchase link on the user terminal. A system including:

2. The system according to claim 1 , further comprising means for analyzing the uploaded full-body photo and preferred outfit information.

3. 10. The system of claim 1, further comprising image recognition means for identifying the item based on the composite image.

Images