System

Abstract

A system is provided.SOLUTION: A system, comprising: means for a user to input room information; means for a server to analyze the received room information; means for the server to select optimal furniture and interior based on the user's preferences; means for the server to generate an overall coordinate image based on the selected furniture and interior; means for a terminal to display a coordinate suggestion to the user; and means for the terminal to directly purchase an item of the displayed coordinate suggestion.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] Many people, especially those in their 20s and 30s living alone or newlyweds, want to create a room that suits their tastes, but selecting furniture and coordinating the entire space takes a lot of time and effort. The current furniture selection process requires multiple steps, including gathering inspiration, comparing product information, and completing the purchase process, which can be very stressful for users. The purpose of this invention is to solve this problem and provide a system that allows users to find their ideal room without any hassle. [Means for solving the problem]

[0005] The present invention provides a system that automatically selects and suggests optimal furniture and interior décor when a user inputs information about a room and specifies their preferred style. Specifically, the system includes: (1) a means for the user to input current room information; (2) a means for the server to analyze the received room information; (3) a means for the server to select optimal furniture and interior décor based on the user's preferences; (4) a means for the server to generate an overall coordinated image based on the furniture and interior décor selected; (5) a means for the terminal to display coordinated items to the user; and (6) a means for the terminal to directly purchase items from the coordinated items displayed. This allows users to easily create their ideal room and significantly reduces the effort required to select furniture.

[0006] "Room information" is a collective term for photos, videos, floor plans, and other information that can identify a room provided by a user.

[0007] "User preferences" is a general term for information about the style and interior theme of the room desired by the user (e.g., Scandinavian style, modern style, etc.).

[0008] "Server" refers to a computer system that analyzes room information, selects furniture and interior decor, and generates coordinated images.

[0009] "Means of analysis" refers to technology that automatically analyzes the size and layout of a room based on information such as photos and floor plans of the room.

[0010] "Means of selection" refers to technology for identifying, evaluating, and selecting the most suitable furniture and interior decoration based on the user's preference information.

[0011] "Generating a coordinated image" refers to creating images or diagrams that visually represent the interior design of the entire room based on the selected furniture and interior décor.

[0012] "Terminal" refers to a device (smartphone or PC) that provides a user interface, communicates with the server, and displays coordination suggestions.

[0013] "Product catalog information" is a general term for database information on various furniture and interior items provided on online shopping sites.

[0014] "Purchaseability" refers to technology that provides a link or button to purchase the displayed suggested item directly online. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11]FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0016] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

[0018] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0019] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0020] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0021] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0023] [First embodiment]

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

[0025] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0028] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0032] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0035] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0036] The system of the present invention aims to enable a user to realize the interior design of a room that he or she desires in a short period of time, and is implemented in the following manner.

[0037] System Overview

[0038] The system mainly consists of the following components:

[0039] 1. User terminal: A device (smartphone or PC) on which the user enters room information, checks coordination suggestions, and proceeds with the purchase process.

[0040] 2. Server: A computer system that analyzes the room information received from the user, selects furniture and interior decoration based on the user's preferences, and generates a coordinated image.

[0041] Program processing

[0042] Below is a natural language explanation of how the system's programs process user requests and accomplish their goals.

[0043] Entering room information

[0044] Users upload photos and floor plans of their rooms to the application using their smartphones or PCs. The devices receive this information and send it to the server.

[0045] Room information analysis

[0046] The server stores the received photos and floor plans of the rooms and analyzes the information, which includes using image processing techniques to determine the size and layout of the rooms.

[0047] Understanding user preferences

[0048] The user inputs the style of the room they want (e.g., Scandinavian, modern, etc.) in the application. The device sends this information to the server, which then understands the user's preferences.

[0049] Choosing the best furniture

[0050] The server selects the most suitable furniture and interior decoration based on the user's preferences and the results of room analysis. To do so, the server searches product catalog information on the Internet and extracts related products.

[0051] Coordinate image generation

[0052] The server generates an overall coordinated image based on the selected furniture and interior information. This image is visually displayed to help users understand how to arrange the furniture.

[0053] View offers and purchase functionality

[0054] The device displays the generated coordinated image and information about the selected furniture to the user. If the user is satisfied with the suggestions, they can click the "Purchase" button displayed for each item. When the purchase button is clicked, the device connects to an online shopping site such as Yahoo! Shopping, allowing the user to purchase the product directly.

[0055] Specific examples

[0056] For example, if a user desires a "Scandinavian style" and uploads photos and floor plans of the room, the process will proceed as follows:

[0057] 1. The user takes a photo of the room and uploads the floor plan to the application.

[0058] 2. The device sends these files to the server.

[0059] 3. The server uses image analysis technology to determine the size and layout of the room and stores the analysis results.

[0060] 4. The user enters the desired style as "Scandinavian" into the application.

[0061] 5. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor.

[0062] 6. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[0063] 7. The terminal displays outfit suggestions to the user and provides a purchase button.

[0064] 8. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[0065] In this way, the system of the present invention can help users realize their dream room without any hassle.

[0066] The processing flow will be explained below.

[0067] Step 1:

[0068] Users take or select photos and floor plans of their rooms and upload them using an application on their smartphone or computer.

[0069] Step 2:

[0070] The device receives photos and floor plans uploaded by the user and transmits this data to the server.

[0071] Step 3:

[0072] The server stores the received room photos and floor plans in a database and sends them to an image processing module for analysis.

[0073] Step 4:

[0074] The server uses an image processing module to analyze the size and layout of the room, specifically identifying the location and dimensions of walls from photos and floor plans.

[0075] Step 5:

[0076] Users input their preferred interior style (e.g., Nordic, modern, etc.) within the application.

[0077] Step 6:

[0078] The terminal transmits the preferred interior style information input by the user to the server.

[0079] Step 7:

[0080] The server generates a search query based on the user's preference information and searches for related furniture and interior items from product catalogs on the Internet.

[0081] Step 8:

[0082] The server selects furniture and interior decor that match the user's preferences from the search results and generates an overall coordinated image based on this information.

[0083] Step 9:

[0084] The server sends the generated coordinated image to the terminal, along with detailed information about the selected furniture and interior design.

[0085] Step 10:

[0086] The terminal displays coordination suggestions and detailed information to the user, and provides a "Purchase" button for each item.

[0087] Step 11:

[0088] The user checks the suggested outfits and clicks the "Purchase" button for the item they wish to purchase.

[0089] Step 12:

[0090] The terminal transmits information about the "Purchase" button clicked by the user to the server, and generates a purchase link to the selected product.

[0091] Step 13:

[0092] The terminal opens the generated purchase link in the user's browser, and the user completes the purchase procedure at the online shopping site.

[0093] This series of steps allows users to easily create their ideal interior.

[0094] Example 1

[0095] 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."

[0096] Conventional interior coordination systems have the problem of requiring a great deal of time and effort for users to realize their desired room style. In particular, they require users to manually input room information, select optimal furniture, generate an overall coordinated image, and purchase items, placing a heavy burden on the user. To solve this problem, there was a need for a system that could efficiently analyze room information and automatically propose interior coordination that matches the user's preferences.

[0097] 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.

[0098] In this invention, the server includes means for analyzing the received room information and identifying the dimensions and layout of the room using an image processing library, means for searching an online product catalog to select optimal furniture and interior decor based on the user's preferences, and means for generating an overall coordinated image using a 3D modeling tool based on the selected furniture and interior decor information. This allows the user to effortlessly input room information, check the automatically generated coordinated suggestions, and easily purchase the optimal interior decor.

[0099] A "user" is a person who uses this system to input information about a room and receive suggestions for interior coordination.

[0100] A "terminal" refers to a device used by a user, such as a smartphone or PC, that can connect to the Internet.

[0101] The "server" is a computer system that receives and analyzes information sent by users, and assists with the coordination proposals and purchasing procedures for selected furniture and interior items.

[0102] "Room information" is data provided by a user that includes photos of the room, floor plans, and other supplemental information (such as style preferences).

[0103] An "image processing library" is a software library for analyzing and processing digital images, which are used to determine room dimensions and layout.

[0104] An "online product catalog" is a collection of product information published on the Internet and is used to select furniture and interior decor.

[0105] A "3D modeling tool" is software for creating, editing, and displaying 3D objects, and is used to generate coordinated images of a user's room.

[0106] A "coordinated image" is a visual simulation image of what the selected furniture and interior design will look like in a room, allowing the user to understand the final layout.

[0107] "API" stands for Application Program Interface, a means by which different software systems communicate with each other. In this case, it's used to search an online product catalog.

[0108] The "purchase procedure" refers to the procedure by which a user orders and purchases furniture and interior items selected based on the coordination suggestions online.

[0109] The system of the present invention allows users to quickly create the interior design of their desired room, and is implemented in the following manner. This system is mainly composed of a user terminal, a server, an image processing library, an online product catalog, and a 3D modeling tool.

[0110] Users use a user device such as a smartphone or PC to input information about their room into the system. This information includes photos and floor plans of the room. The user device receives this information and sends it to the server.

[0111] The server stores the received photos and floor plans of the rooms and analyzes them using an image processing library (e.g., OpenCV). Specifically, it identifies the dimensions and layout of the rooms from the images. The results of this analysis are stored on the server.

[0112] Next, the user selects the desired room style (e.g., Scandinavian or modern) within the application. The user terminal sends this information to the server, which understands the user's preferences and stores the information in a database.

[0113] Based on the analysis results and the user's preferences, the server searches online product catalogs (such as the APIs of Amazon or Rakuten) and selects the furniture and interior decor that best meet the requirements. Information on the selected furniture and interior decor is stored on the server.

[0114] The server then uses a 3D modeling tool (such as Blender) to generate an overall coordinated image based on the selected furniture and interior. This coordinated image is displayed so that the user can easily understand the furniture arrangement visually.

[0115] The generated coordinated image is sent from the server to the user's device. The user's device displays this image and information about the selected furniture to the user. The user can check the suggestions and click the "Purchase" button displayed for each item. In response to this operation, the device calls the API of an online shopping site (such as Yahoo! Shopping), allowing the user to purchase the product directly.

[0116] Specific examples

[0117] For example, if a user wants to create a Scandinavian-style room and uploads a photo and floor plan of their room, the process will proceed as follows:

[0118] 1. The user takes a photo of the room with their smartphone and uploads the floor plan to the application.

[0119] 2. The user terminal sends these files to the server.

[0120] 3. The server uses OpenCV to identify the size and layout of the room and saves the analysis results.

[0121] 4. The user enters the desired style as "Scandinavian" in the application.

[0122] 5. The server searches product catalogs such as Amazon and selects Scandinavian-style furniture and interior decor.

[0123] 6. Based on the selected furniture and interior, the server generates an overall coordinated image using Blender and sends it to the user's device.

[0124] 7. The user can check the outfit suggestions on their device and purchase the items they need by clicking the "Purchase" button for each item.

[0125] In this way, the system of the present invention can help users realize their ideal room without any hassle.

[0126] Example prompts to be input to the generative AI model

[0127] "I want a room with a Scandinavian feel. I will provide photos and floor plans of the room, so please suggest the best furniture and interior design."

[0128] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0129] Step 1:

[0130] Users use their smartphones or computers to upload photos and floor plans of their rooms to the application. The image data entered by the user is the basic information required for room analysis. The device receives this data and sends it as is to the server. The data received by the server is mainly in image formats such as JPEG and PNG.

[0131] Step 2:

[0132] The server saves the received photos and floor plans of the rooms. It then uses an image processing library (OpenCV) to analyze this image data. Specifically, it detects the outlines of the walls from the photos of the rooms and measures the room dimensions (height, width, and depth). It then identifies the room layout and furniture placement space from the floor plan. This allows the server to obtain the room dimensions and layout information as analyzed data.

[0133] Step 3:

[0134] The user selects the desired room style within the application. This information is important data that reflects the user's preferences. For example, if the user selects "Scandinavian style," "Scandinavian style" is entered as style information. The terminal transmits this style information to the server. The information received by the server is stored in the user's preference database.

[0135] Step 4:

[0136] The server uses the online product catalog API to search for products that match the user's preferences and the results of room analysis. Specifically, the server searches the product catalog for keywords such as "Scandinavian-style furniture." Through this search, the server selects the most suitable furniture and interior design based on the acquired product data (product name, price, image, link, etc.).

[0137] Step 5:

[0138] The server uses a 3D modeling tool (Blender) to generate an overall coordinated image based on the selected furniture and interior information. First, 3D model data of the furniture and interior is imported into Blender, and then it is arranged based on the analysis results of the user's room. Once the arrangement is complete, the server renders the 3D view and exports a visual coordinated image. This image is output as an image file in JPEG or PNG format.

[0139] Step 6:

[0140] The server sends the generated coordinated image and information about the selected furniture to the user's device. The device receives this data and displays it on the application screen. Specifically, it displays a purchase button for each piece of furniture along with the coordinated image. When the user checks this screen and clicks the purchase button, the device calls the API of the online shopping site, allowing the user to purchase the product directly.

[0141] Through this series of processing steps, users can easily have suggestions for interior coordination that suits their tastes suggested, and then proceed directly to purchasing online. This system can significantly reduce the user's time and effort.

[0142] (Application example 1)

[0143] 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."

[0144] Conventional interior coordination systems have problems in that it takes time for users to visually understand the proposals and it is difficult to imagine how the furniture will actually be arranged. Furthermore, the process leading up to the purchase decision is complicated, which can lead to a poor user experience. To address these issues, there is a demand for a system that provides real-time visualization and a seamless series of experiences that lead directly to the purchase.

[0145] 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.

[0146] In this invention, the server includes means for the user to input room information, means for analyzing the received room information, means for the server to select optimal furniture and interior decor based on the user's preferences, means for the server to generate an overall coordinated image based on the furniture and interior decor selected by the server, means for the terminal to display coordinated items to the user, means for the terminal to directly purchase items in the coordinated items displayed, and means for the virtual display device to visualize the coordinated items in real time. This allows the user to actually visualize the proposed interior on the spot, enabling the process up to purchase to be carried out quickly and easily while checking in real time.

[0147] "Means for users to input room information" refers to a function that allows users to upload photos and floor plans of their rooms to the application using a smartphone, computer, etc.

[0148] "Means for analyzing room information received by the server" refers to a function that uses image processing technology to identify the size and layout of a room based on photos and floor plans of the room received by the server.

[0149] "Means for the server to select optimal furniture and interior decor based on the user's preferences" refers to a function that allows the server to search and extract appropriate furniture and interior decor from product catalog information on the Internet based on the preferred style information entered by the user.

[0150] "Means for generating an overall coordinated image based on the furniture and interior selected by the server" is a function that generates an interior coordinated image of the user's entire room based on the furniture and interior selected by the server.

[0151] "Means for the terminal to display coordination suggestions to the user" refers to a function by which the user terminal (smartphone, PC, etc.) visualizes and displays to the user the coordination images sent from the server.

[0152] "Means for directly purchasing items from the coordination suggestions displayed on the device" refers to a function that provides a purchase button for selected furniture and interior items displayed on the user's device, and allows products to be purchased directly in conjunction with an online shopping site.

[0153] "Means for a virtual display device to visualize coordination suggestions in real time" refers to a function in which a virtual display device such as smart glasses or a head-mounted display visualizes interior suggestions in real time based on the user's requests within the room.

[0154] The present invention is a system that allows a user to propose and purchase interior coordination for his or her room in real time, and is specifically implemented in the following manner.

[0155] System Overview

[0156] This system consists of the following components:

[0157] 1. User device: Using a smartphone or computer, the user enters information about the room, checks the proposed interior coordination, and proceeds with the purchase process.

[0158] 2. Server: Analyzes the room information received from the user, selects furniture and interior decoration based on the user's preferences, and generates a coordinated image.

[0159] 3. Virtual display device: Using smart glasses or head-mounted displays, outfit suggestions are visualized in real time.

[0160] Program processing

[0161] When a user uploads a photo or floor plan of a room to the application, the device sends this information to the server, which then uses image analysis technology to determine the size and layout of the room.

[0162] The user inputs the desired room style (e.g., Scandinavian, modern, etc.) into the application, and the device sends this information to the server. The server then selects the most suitable furniture and interior design from an online product catalog and generates an overall coordinated image.

[0163] The generated coordinated image is sent to the user's terminal and visually displayed to the user. Furthermore, the user can check the coordinated image while looking around the room in real time through a virtual display device.

[0164] For example, if a user desires a "Scandinavian style" and uploads a photo and floor plan of the room, the process will proceed as follows: When the user enters the desired style "Scandinavian style" into the application, the server searches an online product catalog and selects Scandinavian-style furniture and interior decor. Based on the selected furniture and interior decor, the server generates an overall coordinated image and sends it to the user's device.

[0165] The terminal displays coordination suggestions to the user and assists them in the purchasing process. By using a virtual display device, the user can visually check the suggested interior in real time, making the process of purchasing quick and easy.

[0166] An example of a prompt using a generative AI model would be, "Create an image of a Scandinavian-style living room. The furniture should be in line with the latest trends and include a sofa, table, lighting, and carpet."

[0167] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0168] Step 1: User enters room information

[0169] Users upload photos and floor plans of their rooms to the application using their smartphones or computers. The input data are image files and floor plan files, and the output is saved to the device.

[0170] Step 2: The device sends the room information to the server

[0171] The device sends the saved room photos and floor plan files to the server. The input data is the files uploaded in step 1, and the output is that these files are transferred to the server.

[0172] Step 3: The server analyzes the room information

[0173] The server analyzes the received photos and floor plans of the rooms, uses image processing techniques (e.g., OpenCV, Deep Learning models) to identify the size and layout of the rooms, and generates structural information about the rooms as output. The input data is the transmitted image files, and the output data is the size and layout information of the rooms.

[0174] Step 4: Enter the desired style

[0175] The user inputs the desired room style (e.g., Scandinavian style, modern style, etc.) in the application. The input data is style information, and the output is this information stored on the device and then sent to the server.

[0176] Step 5: The server selects the best furniture and interior design based on the user's preferences.

[0177] The server selects appropriate furniture and interior decor from an online product catalog based on the analyzed room information and the user's style information. It uses a product catalog API to extract related products and outputs a list of selected furniture and interior decor. The input data is room information and style information, and the output data is information on the selected furniture and interior decor.

[0178] Step 6: The server generates the entire coordinate image

[0179] The server generates a coordinated image of the entire room based on the selected furniture and interior information. It uses image generation technology to create a visualized coordinated image. The input data is the selected furniture and interior information, and the output data is the coordinated image.

[0180] Step 7: The device displays outfit suggestions to the user

[0181] The terminal displays the outfit image received from the server to the user, using screen display technology to allow the user to visually confirm the outfit suggestions. The input data is the outfit image, and the output data is the image displayed on the user's screen.

[0182] Step 8: A virtual display device visualizes outfit suggestions in real time

[0183] A virtual display device (e.g., smart glasses, head-mounted display) allows the user to visualize the proposed interior in real time. The user uses the virtual display device to view the proposed interior in their own room. The input data is the coordinated image, and the output data is the visual information displayed on the virtual display device.

[0184] Step 9: Provide a feature that allows users to directly purchase the items displayed on the device.

[0185] The terminal provides a purchase button for the item included in the coordination suggestion. By clicking the purchase button, the user can purchase the product in cooperation with an online shopping site. The input data is the item information of the coordination suggestion, and the output data is a purchase request to the online shopping site.

[0186] 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.

[0187] The system of the present invention aims to enable users to quickly realize the interior design of their desired room, and by combining it with an emotion engine, it provides more personalized suggestions according to the user's emotions. An embodiment of the system will be described in detail below.

[0188] System Overview

[0189] The system mainly consists of the following components:

[0190] 1. User terminal: A device (smartphone or PC) that allows users to input information about the room, check coordination suggestions, and proceed with the purchase process. It also includes functions to capture the user's facial expressions and voice.

[0191] 2. Server: A computer system that analyzes the room information received from the user, selects furniture and interior decorations based on the user's preferences, and generates coordinated images. It also uses an emotion engine to analyze the user's emotions and adjusts the suggestions based on that information.

[0192] 3. Emotion engine: This module recognizes emotions from the user's facial expressions and voice data and provides the results to the server.

[0193] Program processing

[0194] Below is a natural language explanation of how the system's programs process user requests and accomplish their goals.

[0195] Entering room information

[0196] Users upload photos and floor plans of their rooms to the application using their smartphones or PCs. The devices receive this information and send it to the server. The user's facial expressions and voice are also captured and sent to the server.

[0197] Room information analysis

[0198] The server stores the received photos and floor plans of the rooms and analyzes them, including using image processing techniques to determine the size and layout of the rooms.

[0199] Understanding user preferences

[0200] The user inputs the style of the room they want (e.g., Scandinavian, modern, etc.) in the application. The device sends this information to the server, which then understands the user's preferences.

[0201] Emotion analysis

[0202] The server uses an emotion engine to analyze the user's facial expressions and voice data to recognize their current emotional state, such as whether they are happy, sad, excited, etc.

[0203] Choosing the best furniture

[0204] The server selects the most suitable furniture and interior decoration based on the user's preferences, the room analysis results, and the emotional information recognized by the emotion engine.To do this, the server searches product catalog information on the Internet and extracts related products.

[0205] Coordinate image generation

[0206] The server generates an overall coordinated image based on the selected furniture and interior information. This image is visually displayed to help users understand how to arrange the furniture.

[0207] View offers and purchase functionality

[0208] The device displays the generated coordinated image and information about the selected furniture to the user. If the user is satisfied with the suggestions, they can click the "Purchase" button displayed for each item. When the purchase button is clicked, the device connects to an online shopping site such as Yahoo! Shopping, allowing the user to purchase the product directly.

[0209] Specific examples

[0210] For example, if a user desires a "Scandinavian style" and uploads photos and floor plans of the room, the process will proceed as follows:

[0211] 1. The user takes a photo of the room and uploads the floor plan to the application.

[0212] 2. The device sends these files to the server.

[0213] 3. The user's facial expressions and voice are also captured and sent to the server.

[0214] 4. The server uses image analysis technology to determine the size and layout of the room and stores the analysis results.

[0215] 5. The server uses the emotion engine to analyze the user's emotions and saves the information.

[0216] 6. The user enters the desired style as "Scandinavian" into the application.

[0217] 7. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor. This selection reflects the user's preference and emotional information.

[0218] 8. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[0219] 9. The terminal displays outfit suggestions to the user and provides a purchase button.

[0220] 10. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[0221] In this way, the system of the present invention can help users realize their ideal room without any hassle while taking into consideration their feelings.

[0222] The processing flow will be explained below.

[0223] Step 1:

[0224] Users open the application using a smartphone or computer, take or select a photo or floor plan of their room, and upload it to the application.

[0225] Step 2:

[0226] The device receives photos and floor plans uploaded by the user and sends them to the server. The device also captures the user's facial expressions and voice data in real time and sends this data to the server.

[0227] Step 3:

[0228] The server stores the received photos of the room, floor plans, facial expressions, and voice data in a database, and then sends them to the image processing module for analysis.

[0229] Step 4:

[0230] The server uses an image processing module to determine the size and layout of the room. This analysis includes image identification techniques to identify wall locations and dimensions.

[0231] Step 5:

[0232] The server uses an emotion engine to analyze the user's facial expressions and voice data to recognize their current emotional state, which can include happiness, sadness, excitement, calmness, etc.

[0233] Step 6:

[0234] Users input their desired interior style (e.g., Scandinavian, modern, etc.) within the application.

[0235] Step 7:

[0236] The terminal transmits the preferred interior style information input by the user to the server.

[0237] Step 8:

[0238] The server generates a search query based on the user's preference information and emotion information, and searches for related furniture and interior items from product catalogs on the Internet.

[0239] Step 9:

[0240] The server selects furniture and interior design items that match the user's preferences from the search results, and the selection is adjusted to reflect the user's emotional state.

[0241] Step 10:

[0242] The server generates an overall coordinated image based on the selected furniture and interior information, visually representing the selected furniture as a 3D model or collage.

[0243] Step 11:

[0244] The server sends the generated coordinated image to the terminal, along with detailed information about the selected furniture and interior design.

[0245] Step 12:

[0246] The device displays outfit suggestions and detailed information to the user, and provides a "Purchase" button for each item. The purchase button is displayed below each item.

[0247] Step 13:

[0248] The user checks the suggested outfits and clicks the "Purchase" button for the item they wish to purchase.

[0249] Step 14:

[0250] The terminal transmits information about the "Purchase" button clicked by the user to the server, and the server generates a purchase link to the target product.

[0251] Step 15:

[0252] The terminal opens the generated purchase link in the user's browser, and the user completes the purchase procedure at the online shopping site.

[0253] Through this series of steps, the system takes the user's emotions into consideration while proposing ideal interior coordination, allowing the user to easily purchase furniture.

[0254] Example 2

[0255] 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."

[0256] Conventional interior coordination systems have difficulty in providing personalized suggestions based on the user's preferences and emotions. It is also difficult for users to visualize the actual product placement in their room, making it difficult to stimulate their desire to purchase. Furthermore, there is a lack of systems that can be linked to online shopping and easily complete the purchasing process.

[0257] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0258] In this invention, the server includes means for analyzing the user's facial expressions and voice data, means for adjusting coordination suggestions based on the emotion analysis results, and means for searching product catalog information and extracting related products. This enables personalized interior coordination suggestions that take the user's emotions into consideration, and furthermore, by linking with online shopping, a simple purchasing procedure can be realized.

[0259] A "user" is a person who uses the interior coordination system to input room information and receive coordination suggestions.

[0260] "Room information" includes data such as photos of the room, floor plans, and the style desired by the user.

[0261] "Input means" refers to devices and interfaces that allow users to upload photos and floor plans, and select room styles.

[0262] The "server" is a computer system that receives and analyzes data sent from user terminals and generates coordination proposals.

[0263] The "analysis means" refers to the technology and algorithms for processing the room information and user preference information received by the server using image processing technology and data analysis technology.

[0264] The "means of selection" is the method by which the server executes the process of selecting the most suitable furniture and interior decor based on the analysis results.

[0265] The "means for generating coordinated images" is a technology that allows the server to create a visually easy-to-understand image based on the selected furniture and interior.

[0266] The "display means" is a technique that allows the terminal to visually present the coordination proposal sent from the server to the user.

[0267] "Purchase options" are online shopping features that allow the terminal to allow the user to purchase suggested items directly online.

[0268] "Means of capturing" refers to the technology that allows the device to sense the user's facial expressions and voice and convert them into data.

[0269] "Means for emotion analysis" refers to the process by which the server analyzes the user's facial expressions and voice data to identify the user's emotional state.

[0270] The "means for adjusting the proposal" is a function that allows the server to create the most suitable coordination proposal for the user based on the analyzed emotional information.

[0271] The "means for searching catalog information" is a technology that allows the server to search product catalogs on the Internet and extract appropriate products.

[0272] "Means for extracting products" refers to the process by which the server selects products from the catalog information that match the user's preferences and emotional state.

[0273] The system of the present invention aims to enable users to quickly realize the interior design of their desired room, and by combining it with an emotion engine, it provides more personalized suggestions according to the user's emotions. An embodiment of the system will be described in detail below.

[0274] System Overview

[0275] The system mainly consists of the following components:

[0276] 1. User terminal: A device (smartphone or PC) on which the user enters information about the room, checks coordination suggestions, and proceeds with the purchase process. The terminal also has the function of capturing the user's facial expressions and voice.

[0277] 2. Server: A computer system that analyzes the room information received from the user, selects furniture and interior decorations based on the user's preferences, and generates coordinated images. The server also uses an emotion engine to analyze the user's emotions and adjusts its suggestions based on that information.

[0278] 3. Emotion engine: This module recognizes emotions from the user's facial expressions and voice data and provides the results to the server.

[0279] Entering room information

[0280] Users upload photos and floor plans of their rooms to the application using their smartphones or PCs. The devices receive this information and send it to the server. The user's facial expressions and voice are also captured using the device's camera and microphone and sent to the server.

[0281] Room information analysis

[0282] The server stores the received photos and floor plans of the rooms and analyzes them, including using image processing libraries such as OpenCV to determine the size and layout of the rooms.

[0283] Understanding user preferences

[0284] The user inputs the style of the room they want (e.g., Scandinavian, modern, etc.) in the application. The device sends this information to the server, which then understands the user's preferences.

[0285] Emotion analysis

[0286] The server uses an emotion engine to analyze the user's facial expressions and voice data to recognize their current emotional state, such as whether they are happy, sad, excited, etc.

[0287] Choosing the best furniture

[0288] The server selects the most suitable furniture and interior decoration based on the user's preferences, the room analysis results, and the emotional information recognized by the emotion engine. To make the selection, the server searches product catalog information on the Internet and extracts related products. For example, it uses the API (online shopping API) of an e-commerce site.

[0289] Coordinate image generation

[0290] The server generates an overall coordinated image based on the selected furniture and interior design information, which is then visually expressed using 3D modeling software such as Blender.

[0291] View offers and purchase functionality

[0292] The terminal displays the generated coordinated image and information about the selected furniture to the user. If the user is satisfied with the suggestions, they can click the "Purchase" button displayed for each item. When this button is clicked, the terminal connects to an online shopping site, allowing the user to purchase the product directly.

[0293] Specific examples

[0294] For example, if a user wants a Scandinavian-style room and uploads photos and floor plans, the process would proceed as follows:

[0295] 1. The user takes a photo of the room and uploads the floor plan to the application.

[0296] 2. The device sends these files to the server.

[0297] 3. The user's facial expressions and voice are also captured and sent to the server.

[0298] 4. The server uses image analysis technology to determine the size and layout of the room and stores the analysis results.

[0299] 5. The server uses the emotion engine to analyze the user's emotions and saves the information.

[0300] 6. The user enters the desired style as "Scandinavian" into the application.

[0301] 7. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor. This selection reflects the user's preference and emotional information.

[0302] 8. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[0303] 9. The terminal displays outfit suggestions to the user and provides a purchase button.

[0304] 10. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[0305] In this way, the system of the present invention can help users realize their ideal room without any hassle while taking into consideration their feelings.

[0306] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0307] Step 1:

[0308] Users open the dedicated application on their smartphone or computer and upload photos and floor plans of their room.

[0309] Input: Room photo, floor plan

[0310] Output: Photos and floor plan data of the room are saved on the device.

[0311] Specific operation: The user selects a photo they have taken or a saved floor plan from the gallery or file browser and clicks the upload button.

[0312] Step 2:

[0313] The terminal sends the uploaded photos and floor plan to the server.

[0314] Input: Room photos and floor plan data

[0315] Output: Photos and floor plan data of the room are sent to the server.

[0316] Specific operation: The terminal transmits the stored data to the specified endpoint of the server via the network.

[0317] Step 3:

[0318] The device captures the user's facial expressions and voice using a camera and microphone and sends the data to a server.

[0319] Input: User's facial and voice data

[0320] Output: Facial expression and voice data are sent to the server.

[0321] What it does: The application accesses the camera and microphone, captures the user's facial expressions in real time, records audio, and sends the data to a server.

[0322] Step 4:

[0323] The server analyzes the received room photos and floor plans to determine the size and layout of the room.

[0324] Input: Room photos and floor plan data

[0325] Output: Room size and layout analysis results

[0326] Specific operation: The server uses image processing libraries such as OpenCV to identify the position of walls and furniture, room dimensions, etc. from photos and floor plans.

[0327] Step 5:

[0328] Users input the desired room style (e.g., Scandinavian, modern, etc.) within the application.

[0329] Input: Desired room style information

[0330] Output: The style information is sent to the server.

[0331] Specific operation: The user selects "Scandinavian" or "Modern" from the application's style selection menu and clicks the submit button.

[0332] Step 6:

[0333] The server analyzes the received style information and stores it in the user profile.

[0334] Input: Desired room style information

[0335] Output: Style information is saved in the user profile.

[0336] What happens: The server parses the style information and adds it to the user profile in the database.

[0337] Step 7:

[0338] The facial expression and voice data received by the server is analyzed by an emotion engine to identify the user's emotional state.

[0339] Input: facial expression and voice data

[0340] Output: Emotional state analysis results

[0341] Specific operation: The server's emotion engine uses facial expression recognition and voice analysis technology to determine whether the user is happy or sad.

[0342] Step 8:

[0343] The server selects the most suitable furniture and interior design based on the user's preferences, room analysis results, and emotional information.

[0344] Input: User preference information, room size and layout information, emotional information

[0345] Output: A list of suitable furniture and decor items

[0346] Specific operation: The server searches for available furniture and interior items on Internet e-commerce sites and selects items that match the user's preferences and emotions.

[0347] Step 9:

[0348] The server generates an overall coordinated image based on the furniture and interior design selected by the server.

[0349] Input: Selected furniture and interior design information

[0350] Output: Coordinate image

[0351] How it works: The server uses 3D modeling software such as Blender to visualize the furniture placement and interior appearance.

[0352] Step 10:

[0353] The terminal displays the generated coordinated image and information about the selected furniture to the user.

[0354] Input: Coordination image, furniture information

[0355] Output: Displayed outfit suggestions

[0356] Specific operation: The device displays coordination suggestions within the application for the user to review.

[0357] Step 11:

[0358] When the user wishes to purchase an item based on the displayed coordination suggestion, the user clicks the "Purchase" button on the terminal.

[0359] Input: User's purchase intent (click)

[0360] Output: Redirect to checkout

[0361] Specific behavior: The device redirects you to an online shopping site and allows you to proceed with the purchase.

[0362] In this way, the present system provides a series of processes that efficiently create an ideal room while taking into consideration the user's emotions.

[0363] (Application example 2)

[0364] 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."

[0365] Conventional interior coordination systems have difficulty in proposing ideas that fully reflect the user's individual preferences and feelings, making it difficult for users to achieve a satisfactory coordination in a short amount of time. In addition, there are limited ways to visually check the proposed coordination, and in particular, there is no real-time confirmation method using virtual reality, which makes it difficult to alleviate users' anxiety when making a final selection.

[0366] 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 means for recognizing the user's emotions, means for visualizing information about the selected furniture and interior decor using virtual reality so that the user can confirm it, and means for searching product catalog information and extracting related products. This makes it possible to propose personalized interior coordination according to the user's emotions, and since the proposed content can be visually confirmed using virtual reality, the user can make a selection with confidence.

[0367] The "means by which a user inputs room information" refers to a method by which a user inputs a photo or floor plan of their room using an application or digital device.

[0368] The "means for analyzing the room information received by the server" is a method for analyzing the size and layout of the room photos and floor plans received by the server from the user using image processing technology.

[0369] "Means for the server to select optimal furniture and interior decoration based on the user's preferences" refers to a method by which the server selects optimal furniture and interior decoration based on the preferred style and color input by the user.

[0370] "Means for generating an overall coordinated image based on furniture and interior design selected by the server" refers to a method for generating a coordinated image that visually shows how furniture and interior design selected by the server should be arranged.

[0371] The "means for the terminal to display coordination suggestions to the user" refers to a method for displaying coordination suggestions generated by the user terminal (such as a smartphone or a PC) to the user.

[0372] "Means for directly purchasing items in the coordination suggestions displayed on the terminal" refers to a method for directly purchasing furniture and interior items in the coordination suggestions displayed on the user terminal online.

[0373] The "means for recognizing the user's emotions" is a method that uses an emotion engine to analyze the user's facial expressions and voice data and recognize the user's current emotional state.

[0374] "A means of visualizing information about selected furniture and interior décor using virtual reality, allowing users to check it" refers to a method of visualizing the coordinated image of selected furniture and interior décor using virtual reality technology, allowing users to check it in real time.

[0375] The "means for searching product catalog information and extracting related products" is a method for searching product catalogs on the Internet and extracting related products that match the user's preferences and requirements.

[0376] The system of the present invention proposes interior coordination in real time, taking into account the user's preferences and emotions, and allows the user to visually confirm the proposal using virtual reality. The detailed configuration of the system is as follows.

[0377] System Overview

[0378] The system consists of the following main components:

[0379] 1. User Device

[0380] A device that allows users to input room information and confirm coordination suggestions from the system. It can be a smartphone, PC, or head-mounted display (HMD). It also includes the ability to capture the user's facial expressions and voice.

[0381] 2. Server

[0382] The system analyzes the received room information, selects furniture and interior design based on the user's preferences, and generates an overall coordinated image. It also has the ability to analyze the user's emotions.

[0383] 3. Emotion Engine

[0384] This module analyzes the user's facial expressions and voice data to recognize their emotional state, which is then used to tailor the suggestions.

[0385] 4. Interior Design Engine

[0386] Based on the user's preferences and emotional data, the system selects the optimal furniture and interior design and generates a coordinated image.

[0387] 5. Virtual Reality Rendering Engine

[0388] Using information on the selected furniture and interior design, the design is visualized in virtual reality so that users can check it out.

[0389] Hardware and Software

[0390] Hardware

[0391] Smartphones, PCs, head-mounted displays (HMDs), etc.

[0392] A capture device such as a 360-degree camera or webcam.

[0393] software

[0394] Image processing library (OpenCV, etc.)

[0395] Emotion recognition module (EmotionRecognizer, etc.)

[0396] Interior Design Engine (DesignEngine)

[0397] Virtual Reality Rendering Engine (VRRenderer)

[0398] Explanation of program processing

[0399] 1. Enter your room information

[0400] Users use their smartphone or HMD camera to capture 360-degree images of their room and upload the data to the app.

[0401] 2. Room information analysis

[0402] The server stores the received photos and floor plans of the rooms and uses image processing technology to analyze the size and layout of the rooms.

[0403] 3. Understanding user preferences

[0404] Within the application, users input their desired room style and color.

[0405] 4. Emotion analysis

[0406] The emotion engine analyzes the user's facial expressions and voice data to recognize their current emotional state.

[0407] 5. Selecting the right furniture

[0408] The server selects the most suitable furniture and interior design based on the user's preferences and emotional data, and searches product catalogs on the Internet to extract related products.

[0409] 6. Coordination Image Generation

[0410] The interior design engine generates an overall coordinated image using the selected furniture and interior decoration and transmits it to the user's terminal.

[0411] 7. Virtual Reality Visualization

[0412] The virtual reality rendering engine visualizes the generated coordinated image in virtual reality, allowing the user to check it.

[0413] 8. Purchase Function

[0414] Provide users with the ability to purchase their favorite items directly from within the app.

[0415] Specific examples

[0416] If a user wants a Scandinavian-style room and uploads photos and floor plans, the process goes something like this:

[0417] 1. The user takes a photo of the room and uploads the floor plan to the application.

[0418] 2. The device sends these files to the server.

[0419] 3. The user's facial expressions and voice are also captured and sent to the server.

[0420] 4. The server uses image analysis technology to determine the size and layout of the room and saves the analysis results.

[0421] 5. The emotion engine analyzes the user's emotions and stores the information.

[0422] 6. The user enters the desired style as "Scandinavian" into the application.

[0423] 7. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor. This selection reflects the user's preference and emotional information.

[0424] 8. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[0425] 9. The device displays outfit suggestions to the user and provides a purchase button.

[0426] 10. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[0427] Example prompt sentence:

[0428] "Create an application that analyzes the user's emotions in real time and displays the desired Scandinavian-style interior design in VR."

[0429] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0430] Step 1:

[0431] Users capture 360-degree images of the room using their smartphone or HMD camera and upload the data to the app.

[0432] Input: 360° image of a room

[0433] Output: Uploaded image data

[0434] Specific operation: The user uses the camera on their smartphone or HMD to take photos of the room from the front, back, left and right and uploads them to the application. When the user presses the capture button, the camera image data is captured and saved in the application.

[0435] Step 2:

[0436] The terminal transmits the uploaded image data of the room to the server.

[0437] Input: Image data stored in the application

[0438] Output: Image data sent to the server

[0439] Specific operation: The application on the device sends the image data uploaded by the user to the server using an HTTP POST request. Through this process, the server receives the image data of the room.

[0440] Step 3:

[0441] The server analyzes the received image data and determines the size and layout of the room.

[0442] Input: Image data sent to the server

[0443] Output: Room size and layout information

[0444] What it does: An image processing library (e.g., OpenCV) running on the server analyzes the image data, detects dimensions and furniture placement, and generates and stores data about the size and layout of the room.

[0445] Step 4:

[0446] Users input their preferred room style and color within the application.

[0447] Input: User preference information (style, color, etc.)

[0448] Output: User preferences sent to the server

[0449] What it does: A user fills in a form within the application with information about their preferred style, color, budget, etc. This information is then sent to the server.

[0450] Step 5:

[0451] The server selects the most suitable furniture and interior design based on the user's preference information and image data received.

[0452] Input: User preference information, room size and layout information

[0453] Output: Selected furniture and interior design data

[0454] How it works: The interior design engine on the server selects the most suitable furniture and interior design from a product catalog based on the user's preferences and analyzed room data. The data of the selected furniture and interior design is generated and saved.

[0455] Step 6:

[0456] The emotion engine analyzes the user's facial expressions and voice data to recognize their emotional state.

[0457] Input: User's facial expression data, voice data

[0458] Output: User's emotional state data

[0459] Specific operation: The emotion engine analyzes facial expressions and voice data acquired from the user's camera and microphone, and recognizes the user's emotional state in real time. This emotional state data is sent to the server.

[0460] Step 7:

[0461] The server adjusts the selected furniture and interior decor taking into account the user's emotional state data.

[0462] Input: User emotional state data, selected furniture and interior design data

[0463] Output: Furniture and interior design data reflecting emotional state

[0464] How it works: The interior design engine on the server reevaluates and adjusts the selected furniture and interior design based on the user's emotional state data. The adjustment results are saved on the server.

[0465] Step 8:

[0466] An overall coordinated image is generated based on information about the selected and adjusted furniture and interior.

[0467] Input: Adjusted furniture and interior design data, room size and layout information

[0468] Output: Coordinate image data

[0469] Specific operation: The interior design engine on the server generates a visually easy-to-understand coordinated image using the adjusted furniture and interior. The coordinated image data is stored on the server.

[0470] Step 9:

[0471] The terminal receives coordinated image data from the server and visualizes it in virtual reality.

[0472] Input: Coordinate image data

[0473] Output: Coordinated image visualized in virtual reality

[0474] Specific operation: The terminal's virtual reality rendering engine uses the coordinated image data received from the server to visualize it in real time using the HMD.

[0475] Step 10:

[0476] The terminal displays a visualized coordination suggestion to the user, and the user can directly purchase it by pressing a purchase button.

[0477] Input: visualized coordinate image data, user purchase instructions

[0478] Output: Purchase request submitted

[0479] Specific operation: The user's device displays the outfit suggestions displayed in virtual reality. When the user clicks the purchase button for an item they like, they are redirected to the shopping site's purchase page and can proceed with the purchase.

[0480] 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.

[0481] 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.

[0482] 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.

[0483] [Second embodiment]

[0484] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0485] 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.

[0486] 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).

[0487] 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.

[0488] 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.

[0489] 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).

[0490] 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.

[0491] 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.

[0492] 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.

[0493] 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.

[0494] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0495] 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."

[0496] The system of the present invention aims to enable a user to realize the interior design of a room that he or she desires in a short period of time, and is implemented in the following manner.

[0497] System Overview

[0498] The system mainly consists of the following components:

[0499] 1. User terminal: A device (smartphone or PC) on which the user enters room information, checks coordination suggestions, and proceeds with the purchase process.

[0500] 2. Server: A computer system that analyzes the room information received from the user, selects furniture and interior decoration based on the user's preferences, and generates a coordinated image.

[0501] Program processing

[0502] Below is a natural language explanation of how the system's programs process user requests and accomplish their goals.

[0503] Entering room information

[0504] Users upload photos and floor plans of their rooms to the application using their smartphones or PCs. The devices receive this information and send it to the server.

[0505] Room information analysis

[0506] The server stores the received photos and floor plans of the rooms and analyzes the information, which includes using image processing techniques to determine the size and layout of the rooms.

[0507] Understanding user preferences

[0508] The user inputs the style of the room they want (e.g., Scandinavian, modern, etc.) in the application. The device sends this information to the server, which then understands the user's preferences.

[0509] Choosing the best furniture

[0510] The server selects the most suitable furniture and interior decoration based on the user's preferences and the results of room analysis. To do so, the server searches product catalog information on the Internet and extracts related products.

[0511] Coordinate image generation

[0512] The server generates an overall coordinated image based on the selected furniture and interior information. This image is visually displayed to help users understand how to arrange the furniture.

[0513] View offers and purchase functionality

[0514] The device displays the generated coordinated image and information about the selected furniture to the user. If the user is satisfied with the suggestions, they can click the "Purchase" button displayed for each item. When the purchase button is clicked, the device connects to an online shopping site such as Yahoo! Shopping, allowing the user to purchase the product directly.

[0515] Specific examples

[0516] For example, if a user desires a "Scandinavian style" and uploads photos and floor plans of the room, the process will proceed as follows:

[0517] 1. The user takes a photo of the room and uploads the floor plan to the application.

[0518] 2. The device sends these files to the server.

[0519] 3. The server uses image analysis technology to determine the size and layout of the room and stores the analysis results.

[0520] 4. The user enters the desired style as "Scandinavian" into the application.

[0521] 5. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor.

[0522] 6. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[0523] 7. The terminal displays outfit suggestions to the user and provides a purchase button.

[0524] 8. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[0525] In this way, the system of the present invention can help users realize their dream room without any hassle.

[0526] The processing flow will be explained below.

[0527] Step 1:

[0528] Users take or select photos and floor plans of their rooms and upload them using an application on their smartphone or computer.

[0529] Step 2:

[0530] The device receives photos and floor plans uploaded by the user and transmits this data to the server.

[0531] Step 3:

[0532] The server stores the received room photos and floor plans in a database and sends them to an image processing module for analysis.

[0533] Step 4:

[0534] The server uses an image processing module to analyze the size and layout of the room, specifically identifying the location and dimensions of walls from photos and floor plans.

[0535] Step 5:

[0536] Users input their preferred interior style (e.g., Nordic, modern, etc.) within the application.

[0537] Step 6:

[0538] The terminal transmits the preferred interior style information input by the user to the server.

[0539] Step 7:

[0540] The server generates a search query based on the user's preference information and searches for related furniture and interior items from product catalogs on the Internet.

[0541] Step 8:

[0542] The server selects furniture and interior decor that match the user's preferences from the search results and generates an overall coordinated image based on this information.

[0543] Step 9:

[0544] The server sends the generated coordinated image to the terminal, along with detailed information about the selected furniture and interior design.

[0545] Step 10:

[0546] The terminal displays coordination suggestions and detailed information to the user, and provides a "Purchase" button for each item.

[0547] Step 11:

[0548] The user checks the suggested outfits and clicks the "Purchase" button for the item they wish to purchase.

[0549] Step 12:

[0550] The terminal transmits information about the "Purchase" button clicked by the user to the server, and generates a purchase link to the selected product.

[0551] Step 13:

[0552] The terminal opens the generated purchase link in the user's browser, and the user completes the purchase procedure at the online shopping site.

[0553] This series of steps allows users to easily create their ideal interior.

[0554] Example 1

[0555] 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."

[0556] Conventional interior coordination systems have the problem of requiring a great deal of time and effort for users to realize their desired room style. In particular, they require users to manually input room information, select optimal furniture, generate an overall coordinated image, and purchase items, placing a heavy burden on the user. To solve this problem, there was a need for a system that could efficiently analyze room information and automatically propose interior coordination that matches the user's preferences.

[0557] 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.

[0558] In this invention, the server includes means for analyzing the received room information and identifying the dimensions and layout of the room using an image processing library, means for searching an online product catalog to select optimal furniture and interior decor based on the user's preferences, and means for generating an overall coordinated image using a 3D modeling tool based on the selected furniture and interior decor information. This allows the user to effortlessly input room information, check the automatically generated coordinated suggestions, and easily purchase the optimal interior decor.

[0559] A "user" is a person who uses this system to input information about a room and receive suggestions for interior coordination.

[0560] A "terminal" refers to a device used by a user, such as a smartphone or PC, that can connect to the Internet.

[0561] The "server" is a computer system that receives and analyzes information sent by users, and assists with the coordination proposals and purchasing procedures for selected furniture and interior items.

[0562] "Room information" is data provided by a user that includes photos of the room, floor plans, and other supplemental information (such as style preferences).

[0563] An "image processing library" is a software library for analyzing and processing digital images, which are used to determine room dimensions and layout.

[0564] An "online product catalog" is a collection of product information published on the Internet and is used to select furniture and interior decor.

[0565] A "3D modeling tool" is software for creating, editing, and displaying 3D objects, and is used to generate coordinated images of a user's room.

[0566] A "coordinated image" is a visual simulation image of what the selected furniture and interior design will look like in a room, allowing the user to understand the final layout.

[0567] "API" stands for Application Program Interface, a means by which different software systems communicate with each other. In this case, it's used to search an online product catalog.

[0568] The "purchase procedure" refers to the procedure by which a user orders and purchases furniture and interior items selected based on the coordination suggestions online.

[0569] The system of the present invention allows users to quickly create the interior design of their desired room, and is implemented in the following manner. This system is mainly composed of a user terminal, a server, an image processing library, an online product catalog, and a 3D modeling tool.

[0570] Users use a user device such as a smartphone or PC to input information about their room into the system. This information includes photos and floor plans of the room. The user device receives this information and sends it to the server.

[0571] The server stores the received photos and floor plans of the rooms and analyzes them using an image processing library (e.g., OpenCV). Specifically, it identifies the dimensions and layout of the rooms from the images. The results of this analysis are stored on the server.

[0572] Next, the user selects the desired room style (e.g., Scandinavian or modern) within the application. The user terminal sends this information to the server, which understands the user's preferences and stores the information in a database.

[0573] Based on the analysis results and the user's preferences, the server searches online product catalogs (such as the APIs of Amazon or Rakuten) and selects the furniture and interior decor that best meet the requirements. Information on the selected furniture and interior decor is stored on the server.

[0574] The server then uses a 3D modeling tool (such as Blender) to generate an overall coordinated image based on the selected furniture and interior. This coordinated image is displayed so that the user can easily understand the furniture arrangement visually.

[0575] The generated coordinated image is sent from the server to the user's device. The user's device displays this image and information about the selected furniture to the user. The user can check the suggestions and click the "Purchase" button displayed for each item. In response to this operation, the device calls the API of an online shopping site (such as Yahoo! Shopping), allowing the user to purchase the product directly.

[0576] Specific examples

[0577] For example, if a user wants to create a Scandinavian-style room and uploads a photo and floor plan of their room, the process will proceed as follows:

[0578] 1. The user takes a photo of the room with their smartphone and uploads the floor plan to the application.

[0579] 2. The user terminal sends these files to the server.

[0580] 3. The server uses OpenCV to identify the size and layout of the room and saves the analysis results.

[0581] 4. The user enters the desired style as "Scandinavian" in the application.

[0582] 5. The server searches product catalogs such as Amazon and selects Scandinavian-style furniture and interior decor.

[0583] 6. Based on the selected furniture and interior, the server generates an overall coordinated image using Blender and sends it to the user's device.

[0584] 7. The user can check the outfit suggestions on their device and purchase the items they need by clicking the "Purchase" button for each item.

[0585] In this way, the system of the present invention can help users realize their ideal room without any hassle.

[0586] Example prompts to be input to the generative AI model

[0587] "I want a room with a Scandinavian feel. I will provide photos and floor plans of the room, so please suggest the best furniture and interior design."

[0588] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0589] Step 1:

[0590] Users use their smartphones or computers to upload photos and floor plans of their rooms to the application. The image data entered by the user is the basic information required for room analysis. The device receives this data and sends it as is to the server. The data received by the server is mainly in image formats such as JPEG and PNG.

[0591] Step 2:

[0592] The server saves the received photos and floor plans of the rooms. It then uses an image processing library (OpenCV) to analyze this image data. Specifically, it detects the outlines of the walls from the photos of the rooms and measures the room dimensions (height, width, and depth). It then identifies the room layout and furniture placement space from the floor plan. This allows the server to obtain the room dimensions and layout information as analyzed data.

[0593] Step 3:

[0594] The user selects the desired room style within the application. This information is important data that reflects the user's preferences. For example, if the user selects "Scandinavian style," "Scandinavian style" is entered as style information. The terminal transmits this style information to the server. The information received by the server is stored in the user's preference database.

[0595] Step 4:

[0596] The server uses the online product catalog API to search for products that match the user's preferences and the results of room analysis. Specifically, the server searches the product catalog for keywords such as "Scandinavian-style furniture." Through this search, the server selects the most suitable furniture and interior design based on the acquired product data (product name, price, image, link, etc.).

[0597] Step 5:

[0598] The server uses a 3D modeling tool (Blender) to generate an overall coordinated image based on the selected furniture and interior information. First, 3D model data of the furniture and interior is imported into Blender, and then it is arranged based on the analysis results of the user's room. Once the arrangement is complete, the server renders the 3D view and exports a visual coordinated image. This image is output as an image file in JPEG or PNG format.

[0599] Step 6:

[0600] The server sends the generated coordinated image and information about the selected furniture to the user's device. The device receives this data and displays it on the application screen. Specifically, it displays a purchase button for each piece of furniture along with the coordinated image. When the user checks this screen and clicks the purchase button, the device calls the API of the online shopping site, allowing the user to purchase the product directly.

[0601] Through this series of processing steps, users can easily have suggestions for interior coordination that suits their tastes suggested, and then proceed directly to purchasing online. This system can significantly reduce the user's time and effort.

[0602] (Application example 1)

[0603] 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."

[0604] Conventional interior coordination systems have problems in that it takes time for users to visually understand the proposals and it is difficult to imagine how the furniture will actually be arranged. Furthermore, the process leading up to the purchase decision is complicated, which can lead to a poor user experience. To address these issues, there is a demand for a system that provides real-time visualization and a seamless series of experiences that lead directly to the purchase.

[0605] 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.

[0606] In this invention, the server includes means for the user to input room information, means for analyzing the received room information, means for the server to select optimal furniture and interior decor based on the user's preferences, means for the server to generate an overall coordinated image based on the furniture and interior decor selected by the server, means for the terminal to display coordinated items to the user, means for the terminal to directly purchase items in the coordinated items displayed, and means for the virtual display device to visualize the coordinated items in real time. This allows the user to actually visualize the proposed interior on the spot, enabling the process up to purchase to be carried out quickly and easily while checking in real time.

[0607] "Means for users to input room information" refers to a function that allows users to upload photos and floor plans of their rooms to the application using a smartphone, computer, etc.

[0608] "Means for analyzing room information received by the server" refers to a function that uses image processing technology to identify the size and layout of a room based on photos and floor plans of the room received by the server.

[0609] "Means for the server to select optimal furniture and interior decor based on the user's preferences" refers to a function that allows the server to search and extract appropriate furniture and interior decor from product catalog information on the Internet based on the preferred style information entered by the user.

[0610] "Means for generating an overall coordinated image based on the furniture and interior selected by the server" is a function that generates an interior coordinated image of the user's entire room based on the furniture and interior selected by the server.

[0611] "Means for the terminal to display coordination suggestions to the user" refers to a function by which the user terminal (smartphone, PC, etc.) visualizes and displays to the user the coordination images sent from the server.

[0612] "Means for directly purchasing items from the coordination suggestions displayed on the device" refers to a function that provides a purchase button for selected furniture and interior items displayed on the user's device, and allows products to be purchased directly in conjunction with an online shopping site.

[0613] "Means for a virtual display device to visualize coordination suggestions in real time" refers to a function in which a virtual display device such as smart glasses or a head-mounted display visualizes interior suggestions in real time based on the user's requests within the room.

[0614] The present invention is a system that allows a user to propose and purchase interior coordination for his or her room in real time, and is specifically implemented in the following manner.

[0615] System Overview

[0616] This system consists of the following components:

[0617] 1. User device: Using a smartphone or computer, the user enters information about the room, checks the proposed interior coordination, and proceeds with the purchase process.

[0618] 2. Server: Analyzes the room information received from the user, selects furniture and interior decoration based on the user's preferences, and generates a coordinated image.

[0619] 3. Virtual display device: Using smart glasses or head-mounted displays, outfit suggestions are visualized in real time.

[0620] Program processing

[0621] When a user uploads a photo or floor plan of a room to the application, the device sends this information to the server, which then uses image analysis technology to determine the size and layout of the room.

[0622] The user inputs the desired room style (e.g., Scandinavian, modern, etc.) into the application, and the device sends this information to the server. The server then selects the most suitable furniture and interior design from an online product catalog and generates an overall coordinated image.

[0623] The generated coordinated image is sent to the user's terminal and visually displayed to the user. Furthermore, the user can check the coordinated image while looking around the room in real time through a virtual display device.

[0624] For example, if a user desires a "Scandinavian style" and uploads a photo and floor plan of the room, the process will proceed as follows: When the user enters the desired style "Scandinavian style" into the application, the server searches an online product catalog and selects Scandinavian-style furniture and interior decor. Based on the selected furniture and interior decor, the server generates an overall coordinated image and sends it to the user's device.

[0625] The terminal displays coordination suggestions to the user and assists them in the purchasing process. By using a virtual display device, the user can visually check the suggested interior in real time, making the process of purchasing quick and easy.

[0626] An example of a prompt using a generative AI model would be, "Create an image of a Scandinavian-style living room. The furniture should be in line with the latest trends and include a sofa, table, lighting, and carpet."

[0627] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0628] Step 1: User enters room information

[0629] Users upload photos and floor plans of their rooms to the application using their smartphones or computers. The input data are image files and floor plan files, and the output is saved to the device.

[0630] Step 2: The device sends the room information to the server

[0631] The device sends the saved room photos and floor plan files to the server. The input data is the files uploaded in step 1, and the output is that these files are transferred to the server.

[0632] Step 3: The server analyzes the room information

[0633] The server analyzes the received photos and floor plans of the rooms, uses image processing techniques (e.g., OpenCV, Deep Learning models) to identify the size and layout of the rooms, and generates structural information about the rooms as output. The input data is the transmitted image files, and the output data is the size and layout information of the rooms.

[0634] Step 4: Enter the desired style

[0635] The user inputs the desired room style (e.g., Scandinavian style, modern style, etc.) in the application. The input data is style information, and the output is this information stored on the device and then sent to the server.

[0636] Step 5: The server selects the best furniture and interior design based on the user's preferences.

[0637] The server selects appropriate furniture and interior decor from an online product catalog based on the analyzed room information and the user's style information. It uses a product catalog API to extract related products and outputs a list of selected furniture and interior decor. The input data is room information and style information, and the output data is information on the selected furniture and interior decor.

[0638] Step 6: The server generates the entire coordinate image

[0639] The server generates a coordinated image of the entire room based on the selected furniture and interior information. It uses image generation technology to create a visualized coordinated image. The input data is the selected furniture and interior information, and the output data is the coordinated image.

[0640] Step 7: The device displays outfit suggestions to the user

[0641] The terminal displays the outfit image received from the server to the user, using screen display technology to allow the user to visually confirm the outfit suggestions. The input data is the outfit image, and the output data is the image displayed on the user's screen.

[0642] Step 8: A virtual display device visualizes outfit suggestions in real time

[0643] A virtual display device (e.g., smart glasses, head-mounted display) allows the user to visualize the proposed interior in real time. The user uses the virtual display device to view the proposed interior in their own room. The input data is the coordinated image, and the output data is the visual information displayed on the virtual display device.

[0644] Step 9: Provide a feature that allows users to directly purchase the items displayed on the device.

[0645] The terminal provides a purchase button for the item included in the coordination suggestion. By clicking the purchase button, the user can purchase the product in cooperation with an online shopping site. The input data is the item information of the coordination suggestion, and the output data is a purchase request to the online shopping site.

[0646] 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.

[0647] The system of the present invention aims to enable users to quickly realize the interior design of their desired room, and by combining it with an emotion engine, it provides more personalized suggestions according to the user's emotions. An embodiment of the system will be described in detail below.

[0648] System Overview

[0649] The system mainly consists of the following components:

[0650] 1. User terminal: A device (smartphone or PC) that allows users to input information about the room, check coordination suggestions, and proceed with the purchase process. It also includes functions to capture the user's facial expressions and voice.

[0651] 2. Server: A computer system that analyzes the room information received from the user, selects furniture and interior decorations based on the user's preferences, and generates coordinated images. It also uses an emotion engine to analyze the user's emotions and adjusts the suggestions based on that information.

[0652] 3. Emotion engine: This module recognizes emotions from the user's facial expressions and voice data and provides the results to the server.

[0653] Program processing

[0654] Below is a natural language explanation of how the system's programs process user requests and accomplish their goals.

[0655] Entering room information

[0656] Users upload photos and floor plans of their rooms to the application using their smartphones or PCs. The devices receive this information and send it to the server. The user's facial expressions and voice are also captured and sent to the server.

[0657] Room information analysis

[0658] The server stores the received photos and floor plans of the rooms and analyzes them, including using image processing techniques to determine the size and layout of the rooms.

[0659] Understanding user preferences

[0660] The user inputs the style of the room they want (e.g., Scandinavian, modern, etc.) in the application. The device sends this information to the server, which then understands the user's preferences.

[0661] Emotion analysis

[0662] The server uses an emotion engine to analyze the user's facial expressions and voice data to recognize their current emotional state, such as whether they are happy, sad, excited, etc.

[0663] Choosing the best furniture

[0664] The server selects the most suitable furniture and interior decoration based on the user's preferences, the room analysis results, and the emotional information recognized by the emotion engine.To do this, the server searches product catalog information on the Internet and extracts related products.

[0665] Coordinate image generation

[0666] The server generates an overall coordinated image based on the selected furniture and interior information. This image is visually displayed to help users understand how to arrange the furniture.

[0667] View offers and purchase functionality

[0668] The device displays the generated coordinated image and information about the selected furniture to the user. If the user is satisfied with the suggestions, they can click the "Purchase" button displayed for each item. When the purchase button is clicked, the device connects to an online shopping site such as Yahoo! Shopping, allowing the user to purchase the product directly.

[0669] Specific examples

[0670] For example, if a user desires a "Scandinavian style" and uploads photos and floor plans of the room, the process will proceed as follows:

[0671] 1. The user takes a photo of the room and uploads the floor plan to the application.

[0672] 2. The device sends these files to the server.

[0673] 3. The user's facial expressions and voice are also captured and sent to the server.

[0674] 4. The server uses image analysis technology to determine the size and layout of the room and stores the analysis results.

[0675] 5. The server uses the emotion engine to analyze the user's emotions and saves the information.

[0676] 6. The user enters the desired style as "Scandinavian" into the application.

[0677] 7. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor. This selection reflects the user's preference and emotional information.

[0678] 8. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[0679] 9. The terminal displays outfit suggestions to the user and provides a purchase button.

[0680] 10. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[0681] In this way, the system of the present invention can help users realize their ideal room without any hassle while taking into consideration their feelings.

[0682] The processing flow will be explained below.

[0683] Step 1:

[0684] Users open the application using a smartphone or computer, take or select a photo or floor plan of their room, and upload it to the application.

[0685] Step 2:

[0686] The device receives photos and floor plans uploaded by the user and sends them to the server. The device also captures the user's facial expressions and voice data in real time and sends this data to the server.

[0687] Step 3:

[0688] The server stores the received photos of the room, floor plans, facial expressions, and voice data in a database, and then sends them to the image processing module for analysis.

[0689] Step 4:

[0690] The server uses an image processing module to determine the size and layout of the room. This analysis includes image identification techniques to identify wall locations and dimensions.

[0691] Step 5:

[0692] The server uses an emotion engine to analyze the user's facial expressions and voice data to recognize their current emotional state, which can include happiness, sadness, excitement, calmness, etc.

[0693] Step 6:

[0694] Users input their desired interior style (e.g., Scandinavian, modern, etc.) within the application.

[0695] Step 7:

[0696] The terminal transmits the preferred interior style information input by the user to the server.

[0697] Step 8:

[0698] The server generates a search query based on the user's preference information and emotion information, and searches for related furniture and interior items from product catalogs on the Internet.

[0699] Step 9:

[0700] The server selects furniture and interior design items that match the user's preferences from the search results, and the selection is adjusted to reflect the user's emotional state.

[0701] Step 10:

[0702] The server generates an overall coordinated image based on the selected furniture and interior information, visually representing the selected furniture as a 3D model or collage.

[0703] Step 11:

[0704] The server sends the generated coordinated image to the terminal, along with detailed information about the selected furniture and interior design.

[0705] Step 12:

[0706] The device displays outfit suggestions and detailed information to the user, and provides a "Purchase" button for each item. The purchase button is displayed below each item.

[0707] Step 13:

[0708] The user checks the suggested outfits and clicks the "Purchase" button for the item they wish to purchase.

[0709] Step 14:

[0710] The terminal transmits information about the "Purchase" button clicked by the user to the server, and the server generates a purchase link to the target product.

[0711] Step 15:

[0712] The terminal opens the generated purchase link in the user's browser, and the user completes the purchase procedure at the online shopping site.

[0713] Through this series of steps, the system takes the user's emotions into consideration while proposing ideal interior coordination, allowing the user to easily purchase furniture.

[0714] Example 2

[0715] 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."

[0716] Conventional interior coordination systems have difficulty in providing personalized suggestions based on the user's preferences and emotions. It is also difficult for users to visualize the actual product placement in their room, making it difficult to stimulate their desire to purchase. Furthermore, there is a lack of systems that can be linked to online shopping and easily complete the purchasing process.

[0717] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0718] In this invention, the server includes means for analyzing the user's facial expressions and voice data, means for adjusting coordination suggestions based on the emotion analysis results, and means for searching product catalog information and extracting related products. This enables personalized interior coordination suggestions that take the user's emotions into consideration, and furthermore, by linking with online shopping, a simple purchasing procedure can be realized.

[0719] A "user" is a person who uses the interior coordination system to input room information and receive coordination suggestions.

[0720] "Room information" includes data such as photos of the room, floor plans, and the style desired by the user.

[0721] "Input means" refers to devices and interfaces that allow users to upload photos and floor plans, and select room styles.

[0722] The "server" is a computer system that receives and analyzes data sent from user terminals and generates coordination proposals.

[0723] The "analysis means" refers to the technology and algorithms for processing the room information and user preference information received by the server using image processing technology and data analysis technology.

[0724] The "means of selection" is the method by which the server executes the process of selecting the most suitable furniture and interior decor based on the analysis results.

[0725] The "means for generating coordinated images" is a technology that allows the server to create a visually easy-to-understand image based on the selected furniture and interior.

[0726] The "display means" is a technique that allows the terminal to visually present the coordination proposal sent from the server to the user.

[0727] "Purchase options" are online shopping features that allow the terminal to allow the user to purchase suggested items directly online.

[0728] "Means of capturing" refers to the technology that allows the device to sense the user's facial expressions and voice and convert them into data.

[0729] "Means for emotion analysis" refers to the process by which the server analyzes the user's facial expressions and voice data to identify the user's emotional state.

[0730] The "means for adjusting the proposal" is a function that allows the server to create the most suitable coordination proposal for the user based on the analyzed emotional information.

[0731] The "means for searching catalog information" is a technology that allows the server to search product catalogs on the Internet and extract appropriate products.

[0732] "Means for extracting products" refers to the process by which the server selects products from the catalog information that match the user's preferences and emotional state.

[0733] The system of the present invention aims to enable users to quickly realize the interior design of their desired room, and by combining it with an emotion engine, it provides more personalized suggestions according to the user's emotions. An embodiment of the system will be described in detail below.

[0734] System Overview

[0735] The system mainly consists of the following components:

[0736] 1. User terminal: A device (smartphone or PC) on which the user enters information about the room, checks coordination suggestions, and proceeds with the purchase process. The terminal also has the function of capturing the user's facial expressions and voice.

[0737] 2. Server: A computer system that analyzes the room information received from the user, selects furniture and interior decorations based on the user's preferences, and generates coordinated images. The server also uses an emotion engine to analyze the user's emotions and adjusts its suggestions based on that information.

[0738] 3. Emotion engine: This module recognizes emotions from the user's facial expressions and voice data and provides the results to the server.

[0739] Entering room information

[0740] Users upload photos and floor plans of their rooms to the application using their smartphones or PCs. The devices receive this information and send it to the server. The user's facial expressions and voice are also captured using the device's camera and microphone and sent to the server.

[0741] Room information analysis

[0742] The server stores the received photos and floor plans of the rooms and analyzes them, including using image processing libraries such as OpenCV to determine the size and layout of the rooms.

[0743] Understanding user preferences

[0744] The user inputs the style of the room they want (e.g., Scandinavian, modern, etc.) in the application. The device sends this information to the server, which then understands the user's preferences.

[0745] Emotion analysis

[0746] The server uses an emotion engine to analyze the user's facial expressions and voice data to recognize their current emotional state, such as whether they are happy, sad, excited, etc.

[0747] Choosing the best furniture

[0748] The server selects the most suitable furniture and interior decoration based on the user's preferences, the room analysis results, and the emotional information recognized by the emotion engine. To make the selection, the server searches product catalog information on the Internet and extracts related products. For example, it uses the API (online shopping API) of an e-commerce site.

[0749] Coordinate image generation

[0750] The server generates an overall coordinated image based on the selected furniture and interior design information, which is then visually expressed using 3D modeling software such as Blender.

[0751] View offers and purchase functionality

[0752] The terminal displays the generated coordinated image and information about the selected furniture to the user. If the user is satisfied with the suggestions, they can click the "Purchase" button displayed for each item. When this button is clicked, the terminal connects to an online shopping site, allowing the user to purchase the product directly.

[0753] Specific examples

[0754] For example, if a user wants a Scandinavian-style room and uploads photos and floor plans, the process would proceed as follows:

[0755] 1. The user takes a photo of the room and uploads the floor plan to the application.

[0756] 2. The device sends these files to the server.

[0757] 3. The user's facial expressions and voice are also captured and sent to the server.

[0758] 4. The server uses image analysis technology to determine the size and layout of the room and stores the analysis results.

[0759] 5. The server uses the emotion engine to analyze the user's emotions and saves the information.

[0760] 6. The user enters the desired style as "Scandinavian" into the application.

[0761] 7. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor. This selection reflects the user's preference and emotional information.

[0762] 8. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[0763] 9. The terminal displays outfit suggestions to the user and provides a purchase button.

[0764] 10. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[0765] In this way, the system of the present invention can help users realize their ideal room without any hassle while taking into consideration their feelings.

[0766] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0767] Step 1:

[0768] Users open the dedicated application on their smartphone or computer and upload photos and floor plans of their room.

[0769] Input: Room photo, floor plan

[0770] Output: Photos and floor plan data of the room are saved on the device.

[0771] Specific operation: The user selects a photo they have taken or a saved floor plan from the gallery or file browser and clicks the upload button.

[0772] Step 2:

[0773] The terminal sends the uploaded photos and floor plan to the server.

[0774] Input: Room photos and floor plan data

[0775] Output: Photos and floor plan data of the room are sent to the server.

[0776] Specific operation: The terminal transmits the stored data to the specified endpoint of the server via the network.

[0777] Step 3:

[0778] The device captures the user's facial expressions and voice using a camera and microphone and sends the data to a server.

[0779] Input: User's facial and voice data

[0780] Output: Facial expression and voice data are sent to the server.

[0781] What it does: The application accesses the camera and microphone, captures the user's facial expressions in real time, records audio, and sends the data to a server.

[0782] Step 4:

[0783] The server analyzes the received room photos and floor plans to determine the size and layout of the room.

[0784] Input: Room photos and floor plan data

[0785] Output: Room size and layout analysis results

[0786] Specific operation: The server uses image processing libraries such as OpenCV to identify the position of walls and furniture, room dimensions, etc. from photos and floor plans.

[0787] Step 5:

[0788] Users input the desired room style (e.g., Scandinavian, modern, etc.) within the application.

[0789] Input: Desired room style information

[0790] Output: The style information is sent to the server.

[0791] Specific operation: The user selects "Scandinavian" or "Modern" from the application's style selection menu and clicks the submit button.

[0792] Step 6:

[0793] The server analyzes the received style information and stores it in the user profile.

[0794] Input: Desired room style information

[0795] Output: Style information is saved in the user profile.

[0796] What happens: The server parses the style information and adds it to the user profile in the database.

[0797] Step 7:

[0798] The facial expression and voice data received by the server is analyzed by an emotion engine to identify the user's emotional state.

[0799] Input: facial expression and voice data

[0800] Output: Emotional state analysis results

[0801] Specific operation: The server's emotion engine uses facial expression recognition and voice analysis technology to determine whether the user is happy or sad.

[0802] Step 8:

[0803] The server selects the most suitable furniture and interior design based on the user's preferences, room analysis results, and emotional information.

[0804] Input: User preference information, room size and layout information, emotional information

[0805] Output: A list of suitable furniture and decor items

[0806] Specific operation: The server searches for available furniture and interior items on Internet e-commerce sites and selects items that match the user's preferences and emotions.

[0807] Step 9:

[0808] The server generates an overall coordinated image based on the furniture and interior design selected by the server.

[0809] Input: Selected furniture and interior design information

[0810] Output: Coordinate image

[0811] How it works: The server uses 3D modeling software such as Blender to visualize the furniture placement and interior appearance.

[0812] Step 10:

[0813] The terminal displays the generated coordinated image and information about the selected furniture to the user.

[0814] Input: Coordination image, furniture information

[0815] Output: Displayed outfit suggestions

[0816] Specific operation: The device displays coordination suggestions within the application for the user to review.

[0817] Step 11:

[0818] When the user wishes to purchase an item based on the displayed coordination suggestion, the user clicks the "Purchase" button on the terminal.

[0819] Input: User's purchase intent (click)

[0820] Output: Redirect to checkout

[0821] Specific behavior: The device redirects you to an online shopping site and allows you to proceed with the purchase.

[0822] In this way, the present system provides a series of processes that efficiently create an ideal room while taking into consideration the user's emotions.

[0823] (Application example 2)

[0824] 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."

[0825] Conventional interior coordination systems have difficulty in proposing ideas that fully reflect the user's individual preferences and feelings, making it difficult for users to achieve a satisfactory coordination in a short amount of time. In addition, there are limited ways to visually check the proposed coordination, and in particular, there is no real-time confirmation method using virtual reality, which makes it difficult to alleviate users' anxiety when making a final selection.

[0826] 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 means for recognizing the user's emotions, means for visualizing information about the selected furniture and interior decor using virtual reality so that the user can confirm it, and means for searching product catalog information and extracting related products. This makes it possible to propose personalized interior coordination according to the user's emotions, and since the proposed content can be visually confirmed using virtual reality, the user can make a selection with confidence.

[0827] The "means by which a user inputs room information" refers to a method by which a user inputs a photo or floor plan of their room using an application or digital device.

[0828] The "means for analyzing the room information received by the server" is a method for analyzing the size and layout of the room photos and floor plans received by the server from the user using image processing technology.

[0829] "Means for the server to select optimal furniture and interior decoration based on the user's preferences" refers to a method by which the server selects optimal furniture and interior decoration based on the preferred style and color input by the user.

[0830] "Means for generating an overall coordinated image based on furniture and interior design selected by the server" refers to a method for generating a coordinated image that visually shows how furniture and interior design selected by the server should be arranged.

[0831] The "means for the terminal to display coordination suggestions to the user" refers to a method for displaying coordination suggestions generated by the user terminal (such as a smartphone or a PC) to the user.

[0832] "Means for directly purchasing items in the coordination suggestions displayed on the terminal" refers to a method for directly purchasing furniture and interior items in the coordination suggestions displayed on the user terminal online.

[0833] The "means for recognizing the user's emotions" is a method that uses an emotion engine to analyze the user's facial expressions and voice data and recognize the user's current emotional state.

[0834] "A means of visualizing information about selected furniture and interior décor using virtual reality, allowing users to check it" refers to a method of visualizing the coordinated image of selected furniture and interior décor using virtual reality technology, allowing users to check it in real time.

[0835] The "means for searching product catalog information and extracting related products" is a method for searching product catalogs on the Internet and extracting related products that match the user's preferences and requirements.

[0836] The system of the present invention proposes interior coordination in real time, taking into account the user's preferences and emotions, and allows the user to visually confirm the proposal using virtual reality. The detailed configuration of the system is as follows.

[0837] System Overview

[0838] The system consists of the following main components:

[0839] 1. User Device

[0840] A device that allows users to input room information and confirm coordination suggestions from the system. It can be a smartphone, PC, or head-mounted display (HMD). It also includes the ability to capture the user's facial expressions and voice.

[0841] 2. Server

[0842] The system analyzes the received room information, selects furniture and interior design based on the user's preferences, and generates an overall coordinated image. It also has the ability to analyze the user's emotions.

[0843] 3. Emotion Engine

[0844] This module analyzes the user's facial expressions and voice data to recognize their emotional state, which is then used to tailor the suggestions.

[0845] 4. Interior Design Engine

[0846] Based on the user's preferences and emotional data, the system selects the optimal furniture and interior design and generates a coordinated image.

[0847] 5. Virtual Reality Rendering Engine

[0848] Using information on the selected furniture and interior design, the design is visualized in virtual reality so that users can check it out.

[0849] Hardware and Software

[0850] Hardware

[0851] Smartphones, PCs, head-mounted displays (HMDs), etc.

[0852] A capture device such as a 360-degree camera or webcam.

[0853] software

[0854] Image processing library (OpenCV, etc.)

[0855] Emotion recognition module (EmotionRecognizer, etc.)

[0856] Interior Design Engine (DesignEngine)

[0857] Virtual Reality Rendering Engine (VRRenderer)

[0858] Explanation of program processing

[0859] 1. Enter your room information

[0860] Users use their smartphone or HMD camera to capture 360-degree images of their room and upload the data to the app.

[0861] 2. Room information analysis

[0862] The server stores the received photos and floor plans of the rooms and uses image processing technology to analyze the size and layout of the rooms.

[0863] 3. Understanding user preferences

[0864] Within the application, users input their desired room style and color.

[0865] 4. Emotion analysis

[0866] The emotion engine analyzes the user's facial expressions and voice data to recognize their current emotional state.

[0867] 5. Selecting the right furniture

[0868] The server selects the most suitable furniture and interior design based on the user's preferences and emotional data, and searches product catalogs on the Internet to extract related products.

[0869] 6. Coordination Image Generation

[0870] The interior design engine generates an overall coordinated image using the selected furniture and interior decoration and transmits it to the user's terminal.

[0871] 7. Virtual Reality Visualization

[0872] The virtual reality rendering engine visualizes the generated coordinated image in virtual reality, allowing the user to check it.

[0873] 8. Purchase Function

[0874] Provide users with the ability to purchase their favorite items directly from within the app.

[0875] Specific examples

[0876] If a user wants a Scandinavian-style room and uploads photos and floor plans, the process goes something like this:

[0877] 1. The user takes a photo of the room and uploads the floor plan to the application.

[0878] 2. The device sends these files to the server.

[0879] 3. The user's facial expressions and voice are also captured and sent to the server.

[0880] 4. The server uses image analysis technology to determine the size and layout of the room and saves the analysis results.

[0881] 5. The emotion engine analyzes the user's emotions and stores the information.

[0882] 6. The user enters the desired style as "Scandinavian" into the application.

[0883] 7. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor. This selection reflects the user's preference and emotional information.

[0884] 8. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[0885] 9. The device displays outfit suggestions to the user and provides a purchase button.

[0886] 10. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[0887] Example prompt sentence:

[0888] "Create an application that analyzes the user's emotions in real time and displays the desired Scandinavian-style interior design in VR."

[0889] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0890] Step 1:

[0891] Users capture 360-degree images of the room using their smartphone or HMD camera and upload the data to the app.

[0892] Input: 360° image of a room

[0893] Output: Uploaded image data

[0894] Specific operation: The user uses the camera on their smartphone or HMD to take photos of the room from the front, back, left and right and uploads them to the application. When the user presses the capture button, the camera image data is captured and saved in the application.

[0895] Step 2:

[0896] The terminal transmits the uploaded image data of the room to the server.

[0897] Input: Image data stored in the application

[0898] Output: Image data sent to the server

[0899] Specific operation: The application on the device sends the image data uploaded by the user to the server using an HTTP POST request. Through this process, the server receives the image data of the room.

[0900] Step 3:

[0901] The server analyzes the received image data and determines the size and layout of the room.

[0902] Input: Image data sent to the server

[0903] Output: Room size and layout information

[0904] What it does: An image processing library (e.g., OpenCV) running on the server analyzes the image data, detects dimensions and furniture placement, and generates and stores data about the size and layout of the room.

[0905] Step 4:

[0906] Users input their preferred room style and color within the application.

[0907] Input: User preference information (style, color, etc.)

[0908] Output: User preferences sent to the server

[0909] What it does: A user fills in a form within the application with information about their preferred style, color, budget, etc. This information is then sent to the server.

[0910] Step 5:

[0911] The server selects the most suitable furniture and interior design based on the user's preference information and image data received.

[0912] Input: User preference information, room size and layout information

[0913] Output: Selected furniture and interior design data

[0914] How it works: The interior design engine on the server selects the most suitable furniture and interior design from a product catalog based on the user's preferences and analyzed room data. The data of the selected furniture and interior design is generated and saved.

[0915] Step 6:

[0916] The emotion engine analyzes the user's facial expressions and voice data to recognize their emotional state.

[0917] Input: User's facial expression data, voice data

[0918] Output: User's emotional state data

[0919] Specific operation: The emotion engine analyzes facial expressions and voice data acquired from the user's camera and microphone, and recognizes the user's emotional state in real time. This emotional state data is sent to the server.

[0920] Step 7:

[0921] The server adjusts the selected furniture and interior decor taking into account the user's emotional state data.

[0922] Input: User emotional state data, selected furniture and interior design data

[0923] Output: Furniture and interior design data reflecting emotional state

[0924] How it works: The interior design engine on the server reevaluates and adjusts the selected furniture and interior design based on the user's emotional state data. The adjustment results are saved on the server.

[0925] Step 8:

[0926] An overall coordinated image is generated based on information about the selected and adjusted furniture and interior.

[0927] Input: Adjusted furniture and interior design data, room size and layout information

[0928] Output: Coordinate image data

[0929] Specific operation: The interior design engine on the server generates a visually easy-to-understand coordinated image using the adjusted furniture and interior. The coordinated image data is stored on the server.

[0930] Step 9:

[0931] The terminal receives coordinated image data from the server and visualizes it in virtual reality.

[0932] Input: Coordinate image data

[0933] Output: Coordinated image visualized in virtual reality

[0934] Specific operation: The terminal's virtual reality rendering engine uses the coordinated image data received from the server to visualize it in real time using the HMD.

[0935] Step 10:

[0936] The terminal displays a visualized coordination suggestion to the user, and the user can directly purchase it by pressing a purchase button.

[0937] Input: visualized coordinate image data, user purchase instructions

[0938] Output: Purchase request submitted

[0939] Specific operation: The user's device displays the outfit suggestions displayed in virtual reality. When the user clicks the purchase button for an item they like, they are redirected to the shopping site's purchase page and can proceed with the purchase.

[0940] 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.

[0941] 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.

[0942] 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.

[0943] [Third embodiment]

[0944] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0945] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0946] 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).

[0947] 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.

[0948] 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.

[0949] 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).

[0950] 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.

[0951] 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.

[0952] 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.

[0953] 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.

[0954] 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.

[0955] 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."

[0956] The system of the present invention aims to enable a user to realize the interior design of a room that he or she desires in a short period of time, and is implemented in the following manner.

[0957] System Overview

[0958] The system mainly consists of the following components:

[0959] 1. User terminal: A device (smartphone or PC) on which the user enters room information, checks coordination suggestions, and proceeds with the purchase process.

[0960] 2. Server: A computer system that analyzes the room information received from the user, selects furniture and interior decoration based on the user's preferences, and generates a coordinated image.

[0961] Program processing

[0962] Below is a natural language explanation of how the system's programs process user requests and accomplish their goals.

[0963] Entering room information

[0964] Users upload photos and floor plans of their rooms to the application using their smartphones or PCs. The devices receive this information and send it to the server.

[0965] Room information analysis

[0966] The server stores the received photos and floor plans of the rooms and analyzes the information, which includes using image processing techniques to determine the size and layout of the rooms.

[0967] Understanding user preferences

[0968] The user inputs the style of the room they want (e.g., Scandinavian, modern, etc.) in the application. The device sends this information to the server, which then understands the user's preferences.

[0969] Choosing the best furniture

[0970] The server selects the most suitable furniture and interior decoration based on the user's preferences and the results of room analysis. To do so, the server searches product catalog information on the Internet and extracts related products.

[0971] Coordinate image generation

[0972] The server generates an overall coordinated image based on the selected furniture and interior information. This image is visually displayed to help users understand how to arrange the furniture.

[0973] View offers and purchase functionality

[0974] The device displays the generated coordinated image and information about the selected furniture to the user. If the user is satisfied with the suggestions, they can click the "Purchase" button displayed for each item. When the purchase button is clicked, the device connects to an online shopping site such as Yahoo! Shopping, allowing the user to purchase the product directly.

[0975] Specific examples

[0976] For example, if a user desires a "Scandinavian style" and uploads photos and floor plans of the room, the process will proceed as follows:

[0977] 1. The user takes a photo of the room and uploads the floor plan to the application.

[0978] 2. The device sends these files to the server.

[0979] 3. The server uses image analysis technology to determine the size and layout of the room and stores the analysis results.

[0980] 4. The user enters the desired style as "Scandinavian" into the application.

[0981] 5. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor.

[0982] 6. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[0983] 7. The terminal displays outfit suggestions to the user and provides a purchase button.

[0984] 8. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[0985] In this way, the system of the present invention can help users realize their dream room without any hassle.

[0986] The processing flow will be explained below.

[0987] Step 1:

[0988] Users take or select photos and floor plans of their rooms and upload them using an application on their smartphone or computer.

[0989] Step 2:

[0990] The device receives photos and floor plans uploaded by the user and transmits this data to the server.

[0991] Step 3:

[0992] The server stores the received room photos and floor plans in a database and sends them to an image processing module for analysis.

[0993] Step 4:

[0994] The server uses an image processing module to analyze the size and layout of the room, specifically identifying the location and dimensions of walls from photos and floor plans.

[0995] Step 5:

[0996] Users input their preferred interior style (e.g., Nordic, modern, etc.) within the application.

[0997] Step 6:

[0998] The terminal transmits the preferred interior style information input by the user to the server.

[0999] Step 7:

[1000] The server generates a search query based on the user's preference information and searches for related furniture and interior items from product catalogs on the Internet.

[1001] Step 8:

[1002] The server selects furniture and interior decor that match the user's preferences from the search results and generates an overall coordinated image based on this information.

[1003] Step 9:

[1004] The server sends the generated coordinated image to the terminal, along with detailed information about the selected furniture and interior design.

[1005] Step 10:

[1006] The terminal displays coordination suggestions and detailed information to the user, and provides a "Purchase" button for each item.

[1007] Step 11:

[1008] The user checks the suggested outfits and clicks the "Purchase" button for the item they wish to purchase.

[1009] Step 12:

[1010] The terminal transmits information about the "Purchase" button clicked by the user to the server, and generates a purchase link to the selected product.

[1011] Step 13:

[1012] The terminal opens the generated purchase link in the user's browser, and the user completes the purchase procedure at the online shopping site.

[1013] This series of steps allows users to easily create their ideal interior.

[1014] Example 1

[1015] 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."

[1016] Conventional interior coordination systems have the problem of requiring a great deal of time and effort for users to realize their desired room style. In particular, they require users to manually input room information, select optimal furniture, generate an overall coordinated image, and purchase items, placing a heavy burden on the user. To solve this problem, there was a need for a system that could efficiently analyze room information and automatically propose interior coordination that matches the user's preferences.

[1017] 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.

[1018] In this invention, the server includes means for analyzing the received room information and identifying the dimensions and layout of the room using an image processing library, means for searching an online product catalog to select optimal furniture and interior decor based on the user's preferences, and means for generating an overall coordinated image using a 3D modeling tool based on the selected furniture and interior decor information. This allows the user to effortlessly input room information, check the automatically generated coordinated suggestions, and easily purchase the optimal interior decor.

[1019] A "user" is a person who uses this system to input information about a room and receive suggestions for interior coordination.

[1020] A "terminal" refers to a device used by a user, such as a smartphone or PC, that can connect to the Internet.

[1021] The "server" is a computer system that receives and analyzes information sent by users, and assists with the coordination proposals and purchasing procedures for selected furniture and interior items.

[1022] "Room information" is data provided by a user that includes photos of the room, floor plans, and other supplemental information (such as style preferences).

[1023] An "image processing library" is a software library for analyzing and processing digital images, which are used to determine room dimensions and layout.

[1024] An "online product catalog" is a collection of product information published on the Internet and is used to select furniture and interior decor.

[1025] A "3D modeling tool" is software for creating, editing, and displaying 3D objects, and is used to generate coordinated images of a user's room.

[1026] A "coordinated image" is a visual simulation image of what the selected furniture and interior design will look like in a room, allowing the user to understand the final layout.

[1027] "API" stands for Application Program Interface, a means by which different software systems communicate with each other. In this case, it's used to search an online product catalog.

[1028] The "purchase procedure" refers to the procedure by which a user orders and purchases furniture and interior items selected based on the coordination suggestions online.

[1029] The system of the present invention allows users to quickly create the interior design of their desired room, and is implemented in the following manner. This system is mainly composed of a user terminal, a server, an image processing library, an online product catalog, and a 3D modeling tool.

[1030] Users use a user device such as a smartphone or PC to input information about their room into the system. This information includes photos and floor plans of the room. The user device receives this information and sends it to the server.

[1031] The server stores the received photos and floor plans of the rooms and analyzes them using an image processing library (e.g., OpenCV). Specifically, it identifies the dimensions and layout of the rooms from the images. The results of this analysis are stored on the server.

[1032] Next, the user selects the desired room style (e.g., Scandinavian or modern) within the application. The user terminal sends this information to the server, which understands the user's preferences and stores the information in a database.

[1033] Based on the analysis results and the user's preferences, the server searches online product catalogs (such as the APIs of Amazon or Rakuten) and selects the furniture and interior decor that best meet the requirements. Information on the selected furniture and interior decor is stored on the server.

[1034] The server then uses a 3D modeling tool (such as Blender) to generate an overall coordinated image based on the selected furniture and interior. This coordinated image is displayed so that the user can easily understand the furniture arrangement visually.

[1035] The generated coordinated image is sent from the server to the user's device. The user's device displays this image and information about the selected furniture to the user. The user can check the suggestions and click the "Purchase" button displayed for each item. In response to this operation, the device calls the API of an online shopping site (such as Yahoo! Shopping), allowing the user to purchase the product directly.

[1036] Specific examples

[1037] For example, if a user wants to create a Scandinavian-style room and uploads a photo and floor plan of their room, the process will proceed as follows:

[1038] 1. The user takes a photo of the room with their smartphone and uploads the floor plan to the application.

[1039] 2. The user terminal sends these files to the server.

[1040] 3. The server uses OpenCV to identify the size and layout of the room and saves the analysis results.

[1041] 4. The user enters the desired style as "Scandinavian" in the application.

[1042] 5. The server searches product catalogs such as Amazon and selects Scandinavian-style furniture and interior decor.

[1043] 6. Based on the selected furniture and interior, the server generates an overall coordinated image using Blender and sends it to the user's device.

[1044] 7. The user can check the outfit suggestions on their device and purchase the items they need by clicking the "Purchase" button for each item.

[1045] In this way, the system of the present invention can help users realize their ideal room without any hassle.

[1046] Example prompts to be input to the generative AI model

[1047] "I want a room with a Scandinavian feel. I will provide photos and floor plans of the room, so please suggest the best furniture and interior design."

[1048] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1049] Step 1:

[1050] Users use their smartphones or computers to upload photos and floor plans of their rooms to the application. The image data entered by the user is the basic information required for room analysis. The device receives this data and sends it as is to the server. The data received by the server is mainly in image formats such as JPEG and PNG.

[1051] Step 2:

[1052] The server saves the received photos and floor plans of the rooms. It then uses an image processing library (OpenCV) to analyze this image data. Specifically, it detects the outlines of the walls from the photos of the rooms and measures the room dimensions (height, width, and depth). It then identifies the room layout and furniture placement space from the floor plan. This allows the server to obtain the room dimensions and layout information as analyzed data.

[1053] Step 3:

[1054] The user selects the desired room style within the application. This information is important data that reflects the user's preferences. For example, if the user selects "Scandinavian style," "Scandinavian style" is entered as style information. The terminal transmits this style information to the server. The information received by the server is stored in the user's preference database.

[1055] Step 4:

[1056] The server uses the online product catalog API to search for products that match the user's preferences and the results of room analysis. Specifically, the server searches the product catalog for keywords such as "Scandinavian-style furniture." Through this search, the server selects the most suitable furniture and interior design based on the acquired product data (product name, price, image, link, etc.).

[1057] Step 5:

[1058] The server uses a 3D modeling tool (Blender) to generate an overall coordinated image based on the selected furniture and interior information. First, 3D model data of the furniture and interior is imported into Blender, and then it is arranged based on the analysis results of the user's room. Once the arrangement is complete, the server renders the 3D view and exports a visual coordinated image. This image is output as an image file in JPEG or PNG format.

[1059] Step 6:

[1060] The server sends the generated coordinated image and information about the selected furniture to the user's device. The device receives this data and displays it on the application screen. Specifically, it displays a purchase button for each piece of furniture along with the coordinated image. When the user checks this screen and clicks the purchase button, the device calls the API of the online shopping site, allowing the user to purchase the product directly.

[1061] Through this series of processing steps, users can easily have suggestions for interior coordination that suits their tastes suggested, and then proceed directly to purchasing online. This system can significantly reduce the user's time and effort.

[1062] (Application example 1)

[1063] 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."

[1064] Conventional interior coordination systems have problems in that it takes time for users to visually understand the proposals and it is difficult to imagine how the furniture will actually be arranged. Furthermore, the process leading up to the purchase decision is complicated, which can lead to a poor user experience. To address these issues, there is a demand for a system that provides real-time visualization and a seamless series of experiences that lead directly to the purchase.

[1065] 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.

[1066] In this invention, the server includes means for the user to input room information, means for analyzing the received room information, means for the server to select optimal furniture and interior decor based on the user's preferences, means for the server to generate an overall coordinated image based on the furniture and interior decor selected by the server, means for the terminal to display coordinated items to the user, means for the terminal to directly purchase items in the coordinated items displayed, and means for the virtual display device to visualize the coordinated items in real time. This allows the user to actually visualize the proposed interior on the spot, enabling the process up to purchase to be carried out quickly and easily while checking in real time.

[1067] "Means for users to input room information" refers to a function that allows users to upload photos and floor plans of their rooms to the application using a smartphone, computer, etc.

[1068] "Means for analyzing room information received by the server" refers to a function that uses image processing technology to identify the size and layout of a room based on photos and floor plans of the room received by the server.

[1069] "Means for the server to select optimal furniture and interior decor based on the user's preferences" refers to a function that allows the server to search and extract appropriate furniture and interior decor from product catalog information on the Internet based on the preferred style information entered by the user.

[1070] "Means for generating an overall coordinated image based on the furniture and interior selected by the server" is a function that generates an interior coordinated image of the user's entire room based on the furniture and interior selected by the server.

[1071] "Means for the terminal to display coordination suggestions to the user" refers to a function by which the user terminal (smartphone, PC, etc.) visualizes and displays to the user the coordination images sent from the server.

[1072] "Means for directly purchasing items from the coordination suggestions displayed on the device" refers to a function that provides a purchase button for selected furniture and interior items displayed on the user's device, and allows products to be purchased directly in conjunction with an online shopping site.

[1073] "Means for a virtual display device to visualize coordination suggestions in real time" refers to a function in which a virtual display device such as smart glasses or a head-mounted display visualizes interior suggestions in real time based on the user's requests within the room.

[1074] The present invention is a system that allows a user to propose and purchase interior coordination for his or her room in real time, and is specifically implemented in the following manner.

[1075] System Overview

[1076] This system consists of the following components:

[1077] 1. User device: Using a smartphone or computer, the user enters information about the room, checks the proposed interior coordination, and proceeds with the purchase process.

[1078] 2. Server: Analyzes the room information received from the user, selects furniture and interior decoration based on the user's preferences, and generates a coordinated image.

[1079] 3. Virtual display device: Using smart glasses or head-mounted displays, outfit suggestions are visualized in real time.

[1080] Program processing

[1081] When a user uploads a photo or floor plan of a room to the application, the device sends this information to the server, which then uses image analysis technology to determine the size and layout of the room.

[1082] The user inputs the desired room style (e.g., Scandinavian, modern, etc.) into the application, and the device sends this information to the server. The server then selects the most suitable furniture and interior design from an online product catalog and generates an overall coordinated image.

[1083] The generated coordinated image is sent to the user's terminal and visually displayed to the user. Furthermore, the user can check the coordinated image while looking around the room in real time through a virtual display device.

[1084] For example, if a user desires a "Scandinavian style" and uploads a photo and floor plan of the room, the process will proceed as follows: When the user enters the desired style "Scandinavian style" into the application, the server searches an online product catalog and selects Scandinavian-style furniture and interior decor. Based on the selected furniture and interior decor, the server generates an overall coordinated image and sends it to the user's device.

[1085] The terminal displays coordination suggestions to the user and assists them in the purchasing process. By using a virtual display device, the user can visually check the suggested interior in real time, making the process of purchasing quick and easy.

[1086] An example of a prompt using a generative AI model would be, "Create an image of a Scandinavian-style living room. The furniture should be in line with the latest trends and include a sofa, table, lighting, and carpet."

[1087] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1088] Step 1: User enters room information

[1089] Users upload photos and floor plans of their rooms to the application using their smartphones or computers. The input data are image files and floor plan files, and the output is saved to the device.

[1090] Step 2: The device sends the room information to the server

[1091] The device sends the saved room photos and floor plan files to the server. The input data is the files uploaded in step 1, and the output is that these files are transferred to the server.

[1092] Step 3: The server analyzes the room information

[1093] The server analyzes the received photos and floor plans of the rooms, uses image processing techniques (e.g., OpenCV, Deep Learning models) to identify the size and layout of the rooms, and generates structural information about the rooms as output. The input data is the transmitted image files, and the output data is the size and layout information of the rooms.

[1094] Step 4: Enter the desired style

[1095] The user inputs the desired room style (e.g., Scandinavian style, modern style, etc.) in the application. The input data is style information, and the output is this information stored on the device and then sent to the server.

[1096] Step 5: The server selects the best furniture and interior design based on the user's preferences.

[1097] The server selects appropriate furniture and interior decor from an online product catalog based on the analyzed room information and the user's style information. It uses a product catalog API to extract related products and outputs a list of selected furniture and interior decor. The input data is room information and style information, and the output data is information on the selected furniture and interior decor.

[1098] Step 6: The server generates the entire coordinate image

[1099] The server generates a coordinated image of the entire room based on the selected furniture and interior information. It uses image generation technology to create a visualized coordinated image. The input data is the selected furniture and interior information, and the output data is the coordinated image.

[1100] Step 7: The device displays outfit suggestions to the user

[1101] The terminal displays the outfit image received from the server to the user, using screen display technology to allow the user to visually confirm the outfit suggestions. The input data is the outfit image, and the output data is the image displayed on the user's screen.

[1102] Step 8: A virtual display device visualizes outfit suggestions in real time

[1103] A virtual display device (e.g., smart glasses, head-mounted display) allows the user to visualize the proposed interior in real time. The user uses the virtual display device to view the proposed interior in their own room. The input data is the coordinated image, and the output data is the visual information displayed on the virtual display device.

[1104] Step 9: Provide a feature that allows users to directly purchase the items displayed on the device.

[1105] The terminal provides a purchase button for the item included in the coordination suggestion. By clicking the purchase button, the user can purchase the product in cooperation with an online shopping site. The input data is the item information of the coordination suggestion, and the output data is a purchase request to the online shopping site.

[1106] 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.

[1107] The system of the present invention aims to enable users to quickly realize the interior design of their desired room, and by combining it with an emotion engine, it provides more personalized suggestions according to the user's emotions. An embodiment of the system will be described in detail below.

[1108] System Overview

[1109] The system mainly consists of the following components:

[1110] 1. User terminal: A device (smartphone or PC) that allows users to input information about the room, check coordination suggestions, and proceed with the purchase process. It also includes functions to capture the user's facial expressions and voice.

[1111] 2. Server: A computer system that analyzes the room information received from the user, selects furniture and interior decorations based on the user's preferences, and generates coordinated images. It also uses an emotion engine to analyze the user's emotions and adjusts the suggestions based on that information.

[1112] 3. Emotion engine: This module recognizes emotions from the user's facial expressions and voice data and provides the results to the server.

[1113] Program processing

[1114] Below is a natural language explanation of how the system's programs process user requests and accomplish their goals.

[1115] Entering room information

[1116] Users upload photos and floor plans of their rooms to the application using their smartphones or PCs. The devices receive this information and send it to the server. The user's facial expressions and voice are also captured and sent to the server.

[1117] Room information analysis

[1118] The server stores the received photos and floor plans of the rooms and analyzes them, including using image processing techniques to determine the size and layout of the rooms.

[1119] Understanding user preferences

[1120] The user inputs the style of the room they want (e.g., Scandinavian, modern, etc.) in the application. The device sends this information to the server, which then understands the user's preferences.

[1121] Emotion analysis

[1122] The server uses an emotion engine to analyze the user's facial expressions and voice data to recognize their current emotional state, such as whether they are happy, sad, excited, etc.

[1123] Choosing the best furniture

[1124] The server selects the most suitable furniture and interior decoration based on the user's preferences, the room analysis results, and the emotional information recognized by the emotion engine.To do this, the server searches product catalog information on the Internet and extracts related products.

[1125] Coordinate image generation

[1126] The server generates an overall coordinated image based on the selected furniture and interior information. This image is visually displayed to help users understand how to arrange the furniture.

[1127] View offers and purchase functionality

[1128] The device displays the generated coordinated image and information about the selected furniture to the user. If the user is satisfied with the suggestions, they can click the "Purchase" button displayed for each item. When the purchase button is clicked, the device connects to an online shopping site such as Yahoo! Shopping, allowing the user to purchase the product directly.

[1129] Specific examples

[1130] For example, if a user desires a "Scandinavian style" and uploads photos and floor plans of the room, the process will proceed as follows:

[1131] 1. The user takes a photo of the room and uploads the floor plan to the application.

[1132] 2. The device sends these files to the server.

[1133] 3. The user's facial expressions and voice are also captured and sent to the server.

[1134] 4. The server uses image analysis technology to determine the size and layout of the room and stores the analysis results.

[1135] 5. The server uses the emotion engine to analyze the user's emotions and saves the information.

[1136] 6. The user enters the desired style as "Scandinavian" into the application.

[1137] 7. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor. This selection reflects the user's preference and emotional information.

[1138] 8. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[1139] 9. The terminal displays outfit suggestions to the user and provides a purchase button.

[1140] 10. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[1141] In this way, the system of the present invention can help users realize their ideal room without any hassle while taking into consideration their feelings.

[1142] The processing flow will be explained below.

[1143] Step 1:

[1144] Users open the application using a smartphone or computer, take or select a photo or floor plan of their room, and upload it to the application.

[1145] Step 2:

[1146] The device receives photos and floor plans uploaded by the user and sends them to the server. The device also captures the user's facial expressions and voice data in real time and sends this data to the server.

[1147] Step 3:

[1148] The server stores the received photos of the room, floor plans, facial expressions, and voice data in a database, and then sends them to the image processing module for analysis.

[1149] Step 4:

[1150] The server uses an image processing module to determine the size and layout of the room. This analysis includes image identification techniques to identify wall locations and dimensions.

[1151] Step 5:

[1152] The server uses an emotion engine to analyze the user's facial expressions and voice data to recognize their current emotional state, which can include happiness, sadness, excitement, calmness, etc.

[1153] Step 6:

[1154] Users input their desired interior style (e.g., Scandinavian, modern, etc.) within the application.

[1155] Step 7:

[1156] The terminal transmits the preferred interior style information input by the user to the server.

[1157] Step 8:

[1158] The server generates a search query based on the user's preference information and emotion information, and searches for related furniture and interior items from product catalogs on the Internet.

[1159] Step 9:

[1160] The server selects furniture and interior design items that match the user's preferences from the search results, and the selection is adjusted to reflect the user's emotional state.

[1161] Step 10:

[1162] The server generates an overall coordinated image based on the selected furniture and interior information, visually representing the selected furniture as a 3D model or collage.

[1163] Step 11:

[1164] The server sends the generated coordinated image to the terminal, along with detailed information about the selected furniture and interior design.

[1165] Step 12:

[1166] The device displays outfit suggestions and detailed information to the user, and provides a "Purchase" button for each item. The purchase button is displayed below each item.

[1167] Step 13:

[1168] The user checks the suggested outfits and clicks the "Purchase" button for the item they wish to purchase.

[1169] Step 14:

[1170] The terminal transmits information about the "Purchase" button clicked by the user to the server, and the server generates a purchase link to the target product.

[1171] Step 15:

[1172] The terminal opens the generated purchase link in the user's browser, and the user completes the purchase procedure at the online shopping site.

[1173] Through this series of steps, the system takes the user's emotions into consideration while proposing ideal interior coordination, allowing the user to easily purchase furniture.

[1174] Example 2

[1175] 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."

[1176] Conventional interior coordination systems have difficulty in providing personalized suggestions based on the user's preferences and emotions. It is also difficult for users to visualize the actual product placement in their room, making it difficult to stimulate their desire to purchase. Furthermore, there is a lack of systems that can be linked to online shopping and easily complete the purchasing process.

[1177] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1178] In this invention, the server includes means for analyzing the user's facial expressions and voice data, means for adjusting coordination suggestions based on the emotion analysis results, and means for searching product catalog information and extracting related products. This enables personalized interior coordination suggestions that take the user's emotions into consideration, and furthermore, by linking with online shopping, a simple purchasing procedure can be realized.

[1179] A "user" is a person who uses the interior coordination system to input room information and receive coordination suggestions.

[1180] "Room information" includes data such as photos of the room, floor plans, and the style desired by the user.

[1181] "Input means" refers to devices and interfaces that allow users to upload photos and floor plans, and select room styles.

[1182] The "server" is a computer system that receives and analyzes data sent from user terminals and generates coordination proposals.

[1183] The "analysis means" refers to the technology and algorithms for processing the room information and user preference information received by the server using image processing technology and data analysis technology.

[1184] The "means of selection" is the method by which the server executes the process of selecting the most suitable furniture and interior decor based on the analysis results.

[1185] The "means for generating coordinated images" is a technology that allows the server to create a visually easy-to-understand image based on the selected furniture and interior.

[1186] The "display means" is a technique that allows the terminal to visually present the coordination proposal sent from the server to the user.

[1187] "Purchase options" are online shopping features that allow the terminal to allow the user to purchase suggested items directly online.

[1188] "Means of capturing" refers to the technology that allows the device to sense the user's facial expressions and voice and convert them into data.

[1189] "Means for emotion analysis" refers to the process by which the server analyzes the user's facial expressions and voice data to identify the user's emotional state.

[1190] The "means for adjusting the proposal" is a function that allows the server to create the most suitable coordination proposal for the user based on the analyzed emotional information.

[1191] The "means for searching catalog information" is a technology that allows the server to search product catalogs on the Internet and extract appropriate products.

[1192] "Means for extracting products" refers to the process by which the server selects products from the catalog information that match the user's preferences and emotional state.

[1193] The system of the present invention aims to enable users to quickly realize the interior design of their desired room, and by combining it with an emotion engine, it provides more personalized suggestions according to the user's emotions. An embodiment of the system will be described in detail below.

[1194] System Overview

[1195] The system mainly consists of the following components:

[1196] 1. User terminal: A device (smartphone or PC) on which the user enters information about the room, checks coordination suggestions, and proceeds with the purchase process. The terminal also has the function of capturing the user's facial expressions and voice.

[1197] 2. Server: A computer system that analyzes the room information received from the user, selects furniture and interior decorations based on the user's preferences, and generates coordinated images. The server also uses an emotion engine to analyze the user's emotions and adjusts its suggestions based on that information.

[1198] 3. Emotion engine: This module recognizes emotions from the user's facial expressions and voice data and provides the results to the server.

[1199] Entering room information

[1200] Users upload photos and floor plans of their rooms to the application using their smartphones or PCs. The devices receive this information and send it to the server. The user's facial expressions and voice are also captured using the device's camera and microphone and sent to the server.

[1201] Room information analysis

[1202] The server stores the received photos and floor plans of the rooms and analyzes them, including using image processing libraries such as OpenCV to determine the size and layout of the rooms.

[1203] Understanding user preferences

[1204] The user inputs the style of the room they want (e.g., Scandinavian, modern, etc.) in the application. The device sends this information to the server, which then understands the user's preferences.

[1205] Emotion analysis

[1206] The server uses an emotion engine to analyze the user's facial expressions and voice data to recognize their current emotional state, such as whether they are happy, sad, excited, etc.

[1207] Choosing the best furniture

[1208] The server selects the most suitable furniture and interior decoration based on the user's preferences, the room analysis results, and the emotional information recognized by the emotion engine. To make the selection, the server searches product catalog information on the Internet and extracts related products. For example, it uses the API (online shopping API) of an e-commerce site.

[1209] Coordinate image generation

[1210] The server generates an overall coordinated image based on the selected furniture and interior design information, which is then visually expressed using 3D modeling software such as Blender.

[1211] View offers and purchase functionality

[1212] The terminal displays the generated coordinated image and information about the selected furniture to the user. If the user is satisfied with the suggestions, they can click the "Purchase" button displayed for each item. When this button is clicked, the terminal connects to an online shopping site, allowing the user to purchase the product directly.

[1213] Specific examples

[1214] For example, if a user wants a Scandinavian-style room and uploads photos and floor plans, the process would proceed as follows:

[1215] 1. The user takes a photo of the room and uploads the floor plan to the application.

[1216] 2. The device sends these files to the server.

[1217] 3. The user's facial expressions and voice are also captured and sent to the server.

[1218] 4. The server uses image analysis technology to determine the size and layout of the room and stores the analysis results.

[1219] 5. The server uses the emotion engine to analyze the user's emotions and saves the information.

[1220] 6. The user enters the desired style as "Scandinavian" into the application.

[1221] 7. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor. This selection reflects the user's preference and emotional information.

[1222] 8. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[1223] 9. The terminal displays outfit suggestions to the user and provides a purchase button.

[1224] 10. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[1225] In this way, the system of the present invention can help users realize their ideal room without any hassle while taking into consideration their feelings.

[1226] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1227] Step 1:

[1228] Users open the dedicated application on their smartphone or computer and upload photos and floor plans of their room.

[1229] Input: Room photo, floor plan

[1230] Output: Photos and floor plan data of the room are saved on the device.

[1231] Specific operation: The user selects a photo they have taken or a saved floor plan from the gallery or file browser and clicks the upload button.

[1232] Step 2:

[1233] The terminal sends the uploaded photos and floor plan to the server.

[1234] Input: Room photos and floor plan data

[1235] Output: Photos and floor plan data of the room are sent to the server.

[1236] Specific operation: The terminal transmits the stored data to the specified endpoint of the server via the network.

[1237] Step 3:

[1238] The device captures the user's facial expressions and voice using a camera and microphone and sends the data to a server.

[1239] Input: User's facial and voice data

[1240] Output: Facial expression and voice data are sent to the server.

[1241] What it does: The application accesses the camera and microphone, captures the user's facial expressions in real time, records audio, and sends the data to a server.

[1242] Step 4:

[1243] The server analyzes the received room photos and floor plans to determine the size and layout of the room.

[1244] Input: Room photos and floor plan data

[1245] Output: Room size and layout analysis results

[1246] Specific operation: The server uses image processing libraries such as OpenCV to identify the position of walls and furniture, room dimensions, etc. from photos and floor plans.

[1247] Step 5:

[1248] Users input the desired room style (e.g., Scandinavian, modern, etc.) within the application.

[1249] Input: Desired room style information

[1250] Output: The style information is sent to the server.

[1251] Specific operation: The user selects "Scandinavian" or "Modern" from the application's style selection menu and clicks the submit button.

[1252] Step 6:

[1253] The server analyzes the received style information and stores it in the user profile.

[1254] Input: Desired room style information

[1255] Output: Style information is saved in the user profile.

[1256] What happens: The server parses the style information and adds it to the user profile in the database.

[1257] Step 7:

[1258] The facial expression and voice data received by the server is analyzed by an emotion engine to identify the user's emotional state.

[1259] Input: facial expression and voice data

[1260] Output: Emotional state analysis results

[1261] Specific operation: The server's emotion engine uses facial expression recognition and voice analysis technology to determine whether the user is happy or sad.

[1262] Step 8:

[1263] The server selects the most suitable furniture and interior design based on the user's preferences, room analysis results, and emotional information.

[1264] Input: User preference information, room size and layout information, emotional information

[1265] Output: A list of suitable furniture and decor items

[1266] Specific operation: The server searches for available furniture and interior items on Internet e-commerce sites and selects items that match the user's preferences and emotions.

[1267] Step 9:

[1268] The server generates an overall coordinated image based on the furniture and interior design selected by the server.

[1269] Input: Selected furniture and interior design information

[1270] Output: Coordinate image

[1271] How it works: The server uses 3D modeling software such as Blender to visualize the furniture placement and interior appearance.

[1272] Step 10:

[1273] The terminal displays the generated coordinated image and information about the selected furniture to the user.

[1274] Input: Coordination image, furniture information

[1275] Output: Displayed outfit suggestions

[1276] Specific operation: The device displays coordination suggestions within the application for the user to review.

[1277] Step 11:

[1278] When the user wishes to purchase an item based on the displayed coordination suggestion, the user clicks the "Purchase" button on the terminal.

[1279] Input: User's purchase intent (click)

[1280] Output: Redirect to checkout

[1281] Specific behavior: The device redirects you to an online shopping site and allows you to proceed with the purchase.

[1282] In this way, the present system provides a series of processes that efficiently create an ideal room while taking into consideration the user's emotions.

[1283] (Application example 2)

[1284] 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."

[1285] Conventional interior coordination systems have difficulty in proposing ideas that fully reflect the user's individual preferences and feelings, making it difficult for users to achieve a satisfactory coordination in a short amount of time. In addition, there are limited ways to visually check the proposed coordination, and in particular, there is no real-time confirmation method using virtual reality, which makes it difficult to alleviate users' anxiety when making a final selection.

[1286] 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 means for recognizing the user's emotions, means for visualizing information about the selected furniture and interior decor using virtual reality so that the user can confirm it, and means for searching product catalog information and extracting related products. This makes it possible to propose personalized interior coordination according to the user's emotions, and since the proposed content can be visually confirmed using virtual reality, the user can make a selection with confidence.

[1287] The "means by which a user inputs room information" refers to a method by which a user inputs a photo or floor plan of their room using an application or digital device.

[1288] The "means for analyzing the room information received by the server" is a method for analyzing the size and layout of the room photos and floor plans received by the server from the user using image processing technology.

[1289] "Means for the server to select optimal furniture and interior decoration based on the user's preferences" refers to a method by which the server selects optimal furniture and interior decoration based on the preferred style and color input by the user.

[1290] "Means for generating an overall coordinated image based on furniture and interior design selected by the server" refers to a method for generating a coordinated image that visually shows how furniture and interior design selected by the server should be arranged.

[1291] The "means for the terminal to display coordination suggestions to the user" refers to a method for displaying coordination suggestions generated by the user terminal (such as a smartphone or a PC) to the user.

[1292] "Means for directly purchasing items in the coordination suggestions displayed on the terminal" refers to a method for directly purchasing furniture and interior items in the coordination suggestions displayed on the user terminal online.

[1293] The "means for recognizing the user's emotions" is a method that uses an emotion engine to analyze the user's facial expressions and voice data and recognize the user's current emotional state.

[1294] "A means of visualizing information about selected furniture and interior décor using virtual reality, allowing users to check it" refers to a method of visualizing the coordinated image of selected furniture and interior décor using virtual reality technology, allowing users to check it in real time.

[1295] The "means for searching product catalog information and extracting related products" is a method for searching product catalogs on the Internet and extracting related products that match the user's preferences and requirements.

[1296] The system of the present invention proposes interior coordination in real time, taking into account the user's preferences and emotions, and allows the user to visually confirm the proposal using virtual reality. The detailed configuration of the system is as follows.

[1297] System Overview

[1298] The system consists of the following main components:

[1299] 1. User Device

[1300] A device that allows users to input room information and confirm coordination suggestions from the system. It can be a smartphone, PC, or head-mounted display (HMD). It also includes the ability to capture the user's facial expressions and voice.

[1301] 2. Server

[1302] The system analyzes the received room information, selects furniture and interior design based on the user's preferences, and generates an overall coordinated image. It also has the ability to analyze the user's emotions.

[1303] 3. Emotion Engine

[1304] This module analyzes the user's facial expressions and voice data to recognize their emotional state, which is then used to tailor the suggestions.

[1305] 4. Interior Design Engine

[1306] Based on the user's preferences and emotional data, the system selects the optimal furniture and interior design and generates a coordinated image.

[1307] 5. Virtual Reality Rendering Engine

[1308] Using information on the selected furniture and interior design, the design is visualized in virtual reality so that users can check it out.

[1309] Hardware and Software

[1310] Hardware

[1311] Smartphones, PCs, head-mounted displays (HMDs), etc.

[1312] A capture device such as a 360-degree camera or webcam.

[1313] software

[1314] Image processing library (OpenCV, etc.)

[1315] Emotion recognition module (EmotionRecognizer, etc.)

[1316] Interior Design Engine (DesignEngine)

[1317] Virtual Reality Rendering Engine (VRRenderer)

[1318] Explanation of program processing

[1319] 1. Enter your room information

[1320] Users use their smartphone or HMD camera to capture 360-degree images of their room and upload the data to the app.

[1321] 2. Room information analysis

[1322] The server stores the received photos and floor plans of the rooms and uses image processing technology to analyze the size and layout of the rooms.

[1323] 3. Understanding user preferences

[1324] Within the application, users input their desired room style and color.

[1325] 4. Emotion analysis

[1326] The emotion engine analyzes the user's facial expressions and voice data to recognize their current emotional state.

[1327] 5. Selecting the right furniture

[1328] The server selects the most suitable furniture and interior design based on the user's preferences and emotional data, and searches product catalogs on the Internet to extract related products.

[1329] 6. Coordination Image Generation

[1330] The interior design engine generates an overall coordinated image using the selected furniture and interior decoration and transmits it to the user's terminal.

[1331] 7. Virtual Reality Visualization

[1332] The virtual reality rendering engine visualizes the generated coordinated image in virtual reality, allowing the user to check it.

[1333] 8. Purchase Function

[1334] Provide users with the ability to purchase their favorite items directly from within the app.

[1335] Specific examples

[1336] If a user wants a Scandinavian-style room and uploads photos and floor plans, the process goes something like this:

[1337] 1. The user takes a photo of the room and uploads the floor plan to the application.

[1338] 2. The device sends these files to the server.

[1339] 3. The user's facial expressions and voice are also captured and sent to the server.

[1340] 4. The server uses image analysis technology to determine the size and layout of the room and saves the analysis results.

[1341] 5. The emotion engine analyzes the user's emotions and stores the information.

[1342] 6. The user enters the desired style as "Scandinavian" into the application.

[1343] 7. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor. This selection reflects the user's preference and emotional information.

[1344] 8. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[1345] 9. The device displays outfit suggestions to the user and provides a purchase button.

[1346] 10. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[1347] Example prompt sentence:

[1348] "Create an application that analyzes the user's emotions in real time and displays the desired Scandinavian-style interior design in VR."

[1349] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1350] Step 1:

[1351] Users capture 360-degree images of the room using their smartphone or HMD camera and upload the data to the app.

[1352] Input: 360° image of a room

[1353] Output: Uploaded image data

[1354] Specific operation: The user uses the camera on their smartphone or HMD to take photos of the room from the front, back, left and right and uploads them to the application. When the user presses the capture button, the camera image data is captured and saved in the application.

[1355] Step 2:

[1356] The terminal transmits the uploaded image data of the room to the server.

[1357] Input: Image data stored in the application

[1358] Output: Image data sent to the server

[1359] Specific operation: The application on the device sends the image data uploaded by the user to the server using an HTTP POST request. Through this process, the server receives the image data of the room.

[1360] Step 3:

[1361] The server analyzes the received image data and determines the size and layout of the room.

[1362] Input: Image data sent to the server

[1363] Output: Room size and layout information

[1364] What it does: An image processing library (e.g., OpenCV) running on the server analyzes the image data, detects dimensions and furniture placement, and generates and stores data about the size and layout of the room.

[1365] Step 4:

[1366] Users input their preferred room style and color within the application.

[1367] Input: User preference information (style, color, etc.)

[1368] Output: User preferences sent to the server

[1369] What it does: A user fills in a form within the application with information about their preferred style, color, budget, etc. This information is then sent to the server.

[1370] Step 5:

[1371] The server selects the most suitable furniture and interior design based on the user's preference information and image data received.

[1372] Input: User preference information, room size and layout information

[1373] Output: Selected furniture and interior design data

[1374] How it works: The interior design engine on the server selects the most suitable furniture and interior design from a product catalog based on the user's preferences and analyzed room data. The data of the selected furniture and interior design is generated and saved.

[1375] Step 6:

[1376] The emotion engine analyzes the user's facial expressions and voice data to recognize their emotional state.

[1377] Input: User's facial expression data, voice data

[1378] Output: User's emotional state data

[1379] Specific operation: The emotion engine analyzes facial expressions and voice data acquired from the user's camera and microphone, and recognizes the user's emotional state in real time. This emotional state data is sent to the server.

[1380] Step 7:

[1381] The server adjusts the selected furniture and interior decor taking into account the user's emotional state data.

[1382] Input: User emotional state data, selected furniture and interior design data

[1383] Output: Furniture and interior design data reflecting emotional state

[1384] How it works: The interior design engine on the server reevaluates and adjusts the selected furniture and interior design based on the user's emotional state data. The adjustment results are saved on the server.

[1385] Step 8:

[1386] An overall coordinated image is generated based on information about the selected and adjusted furniture and interior.

[1387] Input: Adjusted furniture and interior design data, room size and layout information

[1388] Output: Coordinate image data

[1389] Specific operation: The interior design engine on the server generates a visually easy-to-understand coordinated image using the adjusted furniture and interior. The coordinated image data is stored on the server.

[1390] Step 9:

[1391] The terminal receives coordinated image data from the server and visualizes it in virtual reality.

[1392] Input: Coordinate image data

[1393] Output: Coordinated image visualized in virtual reality

[1394] Specific operation: The terminal's virtual reality rendering engine uses the coordinated image data received from the server to visualize it in real time using the HMD.

[1395] Step 10:

[1396] The terminal displays a visualized coordination suggestion to the user, and the user can directly purchase it by pressing a purchase button.

[1397] Input: visualized coordinate image data, user purchase instructions

[1398] Output: Purchase request submitted

[1399] Specific operation: The user's device displays the outfit suggestions displayed in virtual reality. When the user clicks the purchase button for an item they like, they are redirected to the shopping site's purchase page and can proceed with the purchase.

[1400] 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.

[1401] 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.

[1402] 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.

[1403] [Fourth embodiment]

[1404] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1405] 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.

[1406] 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).

[1407] 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.

[1408] 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.

[1409] 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).

[1410] 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.

[1411] 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.

[1412] 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.

[1413] 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.

[1414] 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.

[1415] 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.

[1416] 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."

[1417] The system of the present invention aims to enable a user to realize the interior design of a room that he or she desires in a short period of time, and is implemented in the following manner.

[1418] System Overview

[1419] The system mainly consists of the following components:

[1420] 1. User terminal: A device (smartphone or PC) on which the user enters room information, checks coordination suggestions, and proceeds with the purchase process.

[1421] 2. Server: A computer system that analyzes the room information received from the user, selects furniture and interior decoration based on the user's preferences, and generates a coordinated image.

[1422] Program processing

[1423] Below is a natural language explanation of how the system's programs process user requests and accomplish their goals.

[1424] Entering room information

[1425] Users upload photos and floor plans of their rooms to the application using their smartphones or PCs. The devices receive this information and send it to the server.

[1426] Room information analysis

[1427] The server stores the received photos and floor plans of the rooms and analyzes the information, which includes using image processing techniques to determine the size and layout of the rooms.

[1428] Understanding user preferences

[1429] The user inputs the style of the room they want (e.g., Scandinavian, modern, etc.) in the application. The device sends this information to the server, which then understands the user's preferences.

[1430] Choosing the best furniture

[1431] The server selects the most suitable furniture and interior decoration based on the user's preferences and the results of room analysis. To do so, the server searches product catalog information on the Internet and extracts related products.

[1432] Coordinate image generation

[1433] The server generates an overall coordinated image based on the selected furniture and interior information. This image is visually displayed to help users understand how to arrange the furniture.

[1434] View offers and purchase functionality

[1435] The device displays the generated coordinated image and information about the selected furniture to the user. If the user is satisfied with the suggestions, they can click the "Purchase" button displayed for each item. When the purchase button is clicked, the device connects to an online shopping site such as Yahoo! Shopping, allowing the user to purchase the product directly.

[1436] Specific examples

[1437] For example, if a user desires a "Scandinavian style" and uploads photos and floor plans of the room, the process will proceed as follows:

[1438] 1. The user takes a photo of the room and uploads the floor plan to the application.

[1439] 2. The device sends these files to the server.

[1440] 3. The server uses image analysis technology to determine the size and layout of the room and stores the analysis results.

[1441] 4. The user enters the desired style as "Scandinavian" into the application.

[1442] 5. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor.

[1443] 6. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[1444] 7. The terminal displays outfit suggestions to the user and provides a purchase button.

[1445] 8. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[1446] In this way, the system of the present invention can help users realize their dream room without any hassle.

[1447] The processing flow will be explained below.

[1448] Step 1:

[1449] Users take or select photos and floor plans of their rooms and upload them using an application on their smartphone or computer.

[1450] Step 2:

[1451] The device receives photos and floor plans uploaded by the user and transmits this data to the server.

[1452] Step 3:

[1453] The server stores the received room photos and floor plans in a database and sends them to an image processing module for analysis.

[1454] Step 4:

[1455] The server uses an image processing module to analyze the size and layout of the room, specifically identifying the location and dimensions of walls from photos and floor plans.

[1456] Step 5:

[1457] Users input their preferred interior style (e.g., Nordic, modern, etc.) within the application.

[1458] Step 6:

[1459] The terminal transmits the preferred interior style information input by the user to the server.

[1460] Step 7:

[1461] The server generates a search query based on the user's preference information and searches for related furniture and interior items from product catalogs on the Internet.

[1462] Step 8:

[1463] The server selects furniture and interior decor that match the user's preferences from the search results and generates an overall coordinated image based on this information.

[1464] Step 9:

[1465] The server sends the generated coordinated image to the terminal, along with detailed information about the selected furniture and interior design.

[1466] Step 10:

[1467] The terminal displays coordination suggestions and detailed information to the user, and provides a "Purchase" button for each item.

[1468] Step 11:

[1469] The user checks the suggested outfits and clicks the "Purchase" button for the item they wish to purchase.

[1470] Step 12:

[1471] The terminal transmits information about the "Purchase" button clicked by the user to the server, and generates a purchase link to the selected product.

[1472] Step 13:

[1473] The terminal opens the generated purchase link in the user's browser, and the user completes the purchase procedure at the online shopping site.

[1474] This series of steps allows users to easily create their ideal interior.

[1475] Example 1

[1476] 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."

[1477] Conventional interior coordination systems have the problem of requiring a great deal of time and effort for users to realize their desired room style. In particular, they require users to manually input room information, select optimal furniture, generate an overall coordinated image, and purchase items, placing a heavy burden on the user. To solve this problem, there was a need for a system that could efficiently analyze room information and automatically propose interior coordination that matches the user's preferences.

[1478] 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.

[1479] In this invention, the server includes means for analyzing the received room information and identifying the dimensions and layout of the room using an image processing library, means for searching an online product catalog to select optimal furniture and interior decor based on the user's preferences, and means for generating an overall coordinated image using a 3D modeling tool based on the selected furniture and interior decor information. This allows the user to effortlessly input room information, check the automatically generated coordinated suggestions, and easily purchase the optimal interior decor.

[1480] A "user" is a person who uses this system to input information about a room and receive suggestions for interior coordination.

[1481] A "terminal" refers to a device used by a user, such as a smartphone or PC, that can connect to the Internet.

[1482] The "server" is a computer system that receives and analyzes information sent by users, and assists with the coordination proposals and purchasing procedures for selected furniture and interior items.

[1483] "Room information" is data provided by a user that includes photos of the room, floor plans, and other supplemental information (such as style preferences).

[1484] An "image processing library" is a software library for analyzing and processing digital images, which are used to determine room dimensions and layout.

[1485] An "online product catalog" is a collection of product information published on the Internet and is used to select furniture and interior decor.

[1486] A "3D modeling tool" is software for creating, editing, and displaying 3D objects, and is used to generate coordinated images of a user's room.

[1487] A "coordinated image" is a visual simulation image of what the selected furniture and interior design will look like in a room, allowing the user to understand the final layout.

[1488] "API" stands for Application Program Interface, a means by which different software systems communicate with each other. In this case, it's used to search an online product catalog.

[1489] The "purchase procedure" refers to the procedure by which a user orders and purchases furniture and interior items selected based on the coordination suggestions online.

[1490] The system of the present invention allows users to quickly create the interior design of their desired room, and is implemented in the following manner. This system is mainly composed of a user terminal, a server, an image processing library, an online product catalog, and a 3D modeling tool.

[1491] Users use a user device such as a smartphone or PC to input information about their room into the system. This information includes photos and floor plans of the room. The user device receives this information and sends it to the server.

[1492] The server stores the received photos and floor plans of the rooms and analyzes them using an image processing library (e.g., OpenCV). Specifically, it identifies the dimensions and layout of the rooms from the images. The results of this analysis are stored on the server.

[1493] Next, the user selects the desired room style (e.g., Scandinavian or modern) within the application. The user terminal sends this information to the server, which understands the user's preferences and stores the information in a database.

[1494] Based on the analysis results and the user's preferences, the server searches online product catalogs (such as the APIs of Amazon or Rakuten) and selects the furniture and interior decor that best meet the requirements. Information on the selected furniture and interior decor is stored on the server.

[1495] The server then uses a 3D modeling tool (such as Blender) to generate an overall coordinated image based on the selected furniture and interior. This coordinated image is displayed so that the user can easily understand the furniture arrangement visually.

[1496] The generated coordinated image is sent from the server to the user's device. The user's device displays this image and information about the selected furniture to the user. The user can check the suggestions and click the "Purchase" button displayed for each item. In response to this operation, the device calls the API of an online shopping site (such as Yahoo! Shopping), allowing the user to purchase the product directly.

[1497] Specific examples

[1498] For example, if a user wants to create a Scandinavian-style room and uploads a photo and floor plan of their room, the process will proceed as follows:

[1499] 1. The user takes a photo of the room with their smartphone and uploads the floor plan to the application.

[1500] 2. The user terminal sends these files to the server.

[1501] 3. The server uses OpenCV to identify the size and layout of the room and saves the analysis results.

[1502] 4. The user enters the desired style as "Scandinavian" in the application.

[1503] 5. The server searches product catalogs such as Amazon and selects Scandinavian-style furniture and interior decor.

[1504] 6. Based on the selected furniture and interior, the server generates an overall coordinated image using Blender and sends it to the user's device.

[1505] 7. The user can check the outfit suggestions on their device and purchase the items they need by clicking the "Purchase" button for each item.

[1506] In this way, the system of the present invention can help users realize their ideal room without any hassle.

[1507] Example prompts to be input to the generative AI model

[1508] "I want a room with a Scandinavian feel. I will provide photos and floor plans of the room, so please suggest the best furniture and interior design."

[1509] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1510] Step 1:

[1511] Users use their smartphones or computers to upload photos and floor plans of their rooms to the application. The image data entered by the user is the basic information required for room analysis. The device receives this data and sends it as is to the server. The data received by the server is mainly in image formats such as JPEG and PNG.

[1512] Step 2:

[1513] The server saves the received photos and floor plans of the rooms. It then uses an image processing library (OpenCV) to analyze this image data. Specifically, it detects the outlines of the walls from the photos of the rooms and measures the room dimensions (height, width, and depth). It then identifies the room layout and furniture placement space from the floor plan. This allows the server to obtain the room dimensions and layout information as analyzed data.

[1514] Step 3:

[1515] The user selects the desired room style within the application. This information is important data that reflects the user's preferences. For example, if the user selects "Scandinavian style," "Scandinavian style" is entered as style information. The terminal transmits this style information to the server. The information received by the server is stored in the user's preference database.

[1516] Step 4:

[1517] The server uses the online product catalog API to search for products that match the user's preferences and the results of room analysis. Specifically, the server searches the product catalog for keywords such as "Scandinavian-style furniture." Through this search, the server selects the most suitable furniture and interior design based on the acquired product data (product name, price, image, link, etc.).

[1518] Step 5:

[1519] The server uses a 3D modeling tool (Blender) to generate an overall coordinated image based on the selected furniture and interior information. First, 3D model data of the furniture and interior is imported into Blender, and then it is arranged based on the analysis results of the user's room. Once the arrangement is complete, the server renders the 3D view and exports a visual coordinated image. This image is output as an image file in JPEG or PNG format.

[1520] Step 6:

[1521] The server sends the generated coordinated image and information about the selected furniture to the user's device. The device receives this data and displays it on the application screen. Specifically, it displays a purchase button for each piece of furniture along with the coordinated image. When the user checks this screen and clicks the purchase button, the device calls the API of the online shopping site, allowing the user to purchase the product directly.

[1522] Through this series of processing steps, users can easily have suggestions for interior coordination that suits their tastes suggested, and then proceed directly to purchasing online. This system can significantly reduce the user's time and effort.

[1523] (Application example 1)

[1524] 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."

[1525] Conventional interior coordination systems have problems in that it takes time for users to visually understand the proposals and it is difficult to imagine how the furniture will actually be arranged. Furthermore, the process leading up to the purchase decision is complicated, which can lead to a poor user experience. To address these issues, there is a demand for a system that provides real-time visualization and a seamless series of experiences that lead directly to the purchase.

[1526] 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.

[1527] In this invention, the server includes means for the user to input room information, means for analyzing the received room information, means for the server to select optimal furniture and interior decor based on the user's preferences, means for the server to generate an overall coordinated image based on the furniture and interior decor selected by the server, means for the terminal to display coordinated items to the user, means for the terminal to directly purchase items in the coordinated items displayed, and means for the virtual display device to visualize the coordinated items in real time. This allows the user to actually visualize the proposed interior on the spot, enabling the process up to purchase to be carried out quickly and easily while checking in real time.

[1528] "Means for users to input room information" refers to a function that allows users to upload photos and floor plans of their rooms to the application using a smartphone, computer, etc.

[1529] "Means for analyzing room information received by the server" refers to a function that uses image processing technology to identify the size and layout of a room based on photos and floor plans of the room received by the server.

[1530] "Means for the server to select optimal furniture and interior decor based on the user's preferences" refers to a function that allows the server to search and extract appropriate furniture and interior decor from product catalog information on the Internet based on the preferred style information entered by the user.

[1531] "Means for generating an overall coordinated image based on the furniture and interior selected by the server" is a function that generates an interior coordinated image of the user's entire room based on the furniture and interior selected by the server.

[1532] "Means for the terminal to display coordination suggestions to the user" refers to a function by which the user terminal (smartphone, PC, etc.) visualizes and displays to the user the coordination images sent from the server.

[1533] "Means for directly purchasing items from the coordination suggestions displayed on the device" refers to a function that provides a purchase button for selected furniture and interior items displayed on the user's device, and allows products to be purchased directly in conjunction with an online shopping site.

[1534] "Means for a virtual display device to visualize coordination suggestions in real time" refers to a function in which a virtual display device such as smart glasses or a head-mounted display visualizes interior suggestions in real time based on the user's requests within the room.

[1535] The present invention is a system that allows a user to propose and purchase interior coordination for his or her room in real time, and is specifically implemented in the following manner.

[1536] System Overview

[1537] This system consists of the following components:

[1538] 1. User device: Using a smartphone or computer, the user enters information about the room, checks the proposed interior coordination, and proceeds with the purchase process.

[1539] 2. Server: Analyzes the room information received from the user, selects furniture and interior decoration based on the user's preferences, and generates a coordinated image.

[1540] 3. Virtual display device: Using smart glasses or head-mounted displays, outfit suggestions are visualized in real time.

[1541] Program processing

[1542] When a user uploads a photo or floor plan of a room to the application, the device sends this information to the server, which then uses image analysis technology to determine the size and layout of the room.

[1543] The user inputs the desired room style (e.g., Scandinavian, modern, etc.) into the application, and the device sends this information to the server. The server then selects the most suitable furniture and interior design from an online product catalog and generates an overall coordinated image.

[1544] The generated coordinated image is sent to the user's terminal and visually displayed to the user. Furthermore, the user can check the coordinated image while looking around the room in real time through a virtual display device.

[1545] For example, if a user desires a "Scandinavian style" and uploads a photo and floor plan of the room, the process will proceed as follows: When the user enters the desired style "Scandinavian style" into the application, the server searches an online product catalog and selects Scandinavian-style furniture and interior decor. Based on the selected furniture and interior decor, the server generates an overall coordinated image and sends it to the user's device.

[1546] The terminal displays coordination suggestions to the user and assists them in the purchasing process. By using a virtual display device, the user can visually check the suggested interior in real time, making the process of purchasing quick and easy.

[1547] An example of a prompt using a generative AI model would be, "Create an image of a Scandinavian-style living room. The furniture should be in line with the latest trends and include a sofa, table, lighting, and carpet."

[1548] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1549] Step 1: User enters room information

[1550] Users upload photos and floor plans of their rooms to the application using their smartphones or computers. The input data are image files and floor plan files, and the output is saved to the device.

[1551] Step 2: The device sends the room information to the server

[1552] The device sends the saved room photos and floor plan files to the server. The input data is the files uploaded in step 1, and the output is that these files are transferred to the server.

[1553] Step 3: The server analyzes the room information

[1554] The server analyzes the received photos and floor plans of the rooms, uses image processing techniques (e.g., OpenCV, Deep Learning models) to identify the size and layout of the rooms, and generates structural information about the rooms as output. The input data is the transmitted image files, and the output data is the size and layout information of the rooms.

[1555] Step 4: Enter the desired style

[1556] The user inputs the desired room style (e.g., Scandinavian style, modern style, etc.) in the application. The input data is style information, and the output is this information stored on the device and then sent to the server.

[1557] Step 5: The server selects the best furniture and interior design based on the user's preferences.

[1558] The server selects appropriate furniture and interior decor from an online product catalog based on the analyzed room information and the user's style information. It uses a product catalog API to extract related products and outputs a list of selected furniture and interior decor. The input data is room information and style information, and the output data is information on the selected furniture and interior decor.

[1559] Step 6: The server generates the entire coordinate image

[1560] The server generates a coordinated image of the entire room based on the selected furniture and interior information. It uses image generation technology to create a visualized coordinated image. The input data is the selected furniture and interior information, and the output data is the coordinated image.

[1561] Step 7: The device displays outfit suggestions to the user

[1562] The terminal displays the outfit image received from the server to the user, using screen display technology to allow the user to visually confirm the outfit suggestions. The input data is the outfit image, and the output data is the image displayed on the user's screen.

[1563] Step 8: A virtual display device visualizes outfit suggestions in real time

[1564] A virtual display device (e.g., smart glasses, head-mounted display) allows the user to visualize the proposed interior in real time. The user uses the virtual display device to view the proposed interior in their own room. The input data is the coordinated image, and the output data is the visual information displayed on the virtual display device.

[1565] Step 9: Provide a feature that allows users to directly purchase the items displayed on the device.

[1566] The terminal provides a purchase button for the item included in the coordination suggestion. By clicking the purchase button, the user can purchase the product in cooperation with an online shopping site. The input data is the item information of the coordination suggestion, and the output data is a purchase request to the online shopping site.

[1567] 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.

[1568] The system of the present invention aims to enable users to quickly realize the interior design of their desired room, and by combining it with an emotion engine, it provides more personalized suggestions according to the user's emotions. An embodiment of the system will be described in detail below.

[1569] System Overview

[1570] The system mainly consists of the following components:

[1571] 1. User terminal: A device (smartphone or PC) that allows users to input information about the room, check coordination suggestions, and proceed with the purchase process. It also includes functions to capture the user's facial expressions and voice.

[1572] 2. Server: A computer system that analyzes the room information received from the user, selects furniture and interior decorations based on the user's preferences, and generates coordinated images. It also uses an emotion engine to analyze the user's emotions and adjusts the suggestions based on that information.

[1573] 3. Emotion engine: This module recognizes emotions from the user's facial expressions and voice data and provides the results to the server.

[1574] Program processing

[1575] Below is a natural language explanation of how the system's programs process user requests and accomplish their goals.

[1576] Entering room information

[1577] Users upload photos and floor plans of their rooms to the application using their smartphones or PCs. The devices receive this information and send it to the server. The user's facial expressions and voice are also captured and sent to the server.

[1578] Room information analysis

[1579] The server stores the received photos and floor plans of the rooms and analyzes them, including using image processing techniques to determine the size and layout of the rooms.

[1580] Understanding user preferences

[1581] The user inputs the style of the room they want (e.g., Scandinavian, modern, etc.) in the application. The device sends this information to the server, which then understands the user's preferences.

[1582] Emotion analysis

[1583] The server uses an emotion engine to analyze the user's facial expressions and voice data to recognize their current emotional state, such as whether they are happy, sad, excited, etc.

[1584] Choosing the best furniture

[1585] The server selects the most suitable furniture and interior decoration based on the user's preferences, the room analysis results, and the emotional information recognized by the emotion engine.To do this, the server searches product catalog information on the Internet and extracts related products.

[1586] Coordinate image generation

[1587] The server generates an overall coordinated image based on the selected furniture and interior information. This image is visually displayed to help users understand how to arrange the furniture.

[1588] View offers and purchase functionality

[1589] The device displays the generated coordinated image and information about the selected furniture to the user. If the user is satisfied with the suggestions, they can click the "Purchase" button displayed for each item. When the purchase button is clicked, the device connects to an online shopping site such as Yahoo! Shopping, allowing the user to purchase the product directly.

[1590] Specific examples

[1591] For example, if a user desires a "Scandinavian style" and uploads photos and floor plans of the room, the process will proceed as follows:

[1592] 1. The user takes a photo of the room and uploads the floor plan to the application.

[1593] 2. The device sends these files to the server.

[1594] 3. The user's facial expressions and voice are also captured and sent to the server.

[1595] 4. The server uses image analysis technology to determine the size and layout of the room and stores the analysis results.

[1596] 5. The server uses the emotion engine to analyze the user's emotions and saves the information.

[1597] 6. The user enters the desired style as "Scandinavian" into the application.

[1598] 7. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor. This selection reflects the user's preference and emotional information.

[1599] 8. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[1600] 9. The terminal displays outfit suggestions to the user and provides a purchase button.

[1601] 10. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[1602] In this way, the system of the present invention can help users realize their ideal room without any hassle while taking into consideration their feelings.

[1603] The processing flow will be explained below.

[1604] Step 1:

[1605] Users open the application using a smartphone or computer, take or select a photo or floor plan of their room, and upload it to the application.

[1606] Step 2:

[1607] The device receives photos and floor plans uploaded by the user and sends them to the server. The device also captures the user's facial expressions and voice data in real time and sends this data to the server.

[1608] Step 3:

[1609] The server stores the received photos of the room, floor plans, facial expressions, and voice data in a database, and then sends them to the image processing module for analysis.

[1610] Step 4:

[1611] The server uses an image processing module to determine the size and layout of the room. This analysis includes image identification techniques to identify wall locations and dimensions.

[1612] Step 5:

[1613] The server uses an emotion engine to analyze the user's facial expressions and voice data to recognize their current emotional state, which can include happiness, sadness, excitement, calmness, etc.

[1614] Step 6:

[1615] Users input their desired interior style (e.g., Scandinavian, modern, etc.) within the application.

[1616] Step 7:

[1617] The terminal transmits the preferred interior style information input by the user to the server.

[1618] Step 8:

[1619] The server generates a search query based on the user's preference information and emotion information, and searches for related furniture and interior items from product catalogs on the Internet.

[1620] Step 9:

[1621] The server selects furniture and interior design items that match the user's preferences from the search results, and the selection is adjusted to reflect the user's emotional state.

[1622] Step 10:

[1623] The server generates an overall coordinated image based on the selected furniture and interior information, visually representing the selected furniture as a 3D model or collage.

[1624] Step 11:

[1625] The server sends the generated coordinated image to the terminal, along with detailed information about the selected furniture and interior design.

[1626] Step 12:

[1627] The device displays outfit suggestions and detailed information to the user, and provides a "Purchase" button for each item. The purchase button is displayed below each item.

[1628] Step 13:

[1629] The user checks the suggested outfits and clicks the "Purchase" button for the item they wish to purchase.

[1630] Step 14:

[1631] The terminal transmits information about the "Purchase" button clicked by the user to the server, and the server generates a purchase link to the target product.

[1632] Step 15:

[1633] The terminal opens the generated purchase link in the user's browser, and the user completes the purchase procedure at the online shopping site.

[1634] Through this series of steps, the system takes the user's emotions into consideration while proposing ideal interior coordination, allowing the user to easily purchase furniture.

[1635] Example 2

[1636] 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."

[1637] Conventional interior coordination systems have difficulty in providing personalized suggestions based on the user's preferences and emotions. It is also difficult for users to visualize the actual product placement in their room, making it difficult to stimulate their desire to purchase. Furthermore, there is a lack of systems that can be linked to online shopping and easily complete the purchasing process.

[1638] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1639] In this invention, the server includes means for analyzing the user's facial expressions and voice data, means for adjusting coordination suggestions based on the emotion analysis results, and means for searching product catalog information and extracting related products. This enables personalized interior coordination suggestions that take the user's emotions into consideration, and furthermore, by linking with online shopping, a simple purchasing procedure can be realized.

[1640] A "user" is a person who uses the interior coordination system to input room information and receive coordination suggestions.

[1641] "Room information" includes data such as photos of the room, floor plans, and the style desired by the user.

[1642] "Input means" refers to devices and interfaces that allow users to upload photos and floor plans, and select room styles.

[1643] The "server" is a computer system that receives and analyzes data sent from user terminals and generates coordination proposals.

[1644] The "analysis means" refers to the technology and algorithms for processing the room information and user preference information received by the server using image processing technology and data analysis technology.

[1645] The "means of selection" is the method by which the server executes the process of selecting the most suitable furniture and interior decor based on the analysis results.

[1646] The "means for generating coordinated images" is a technology that allows the server to create a visually easy-to-understand image based on the selected furniture and interior.

[1647] The "display means" is a technique that allows the terminal to visually present the coordination proposal sent from the server to the user.

[1648] "Purchase options" are online shopping features that allow the terminal to allow the user to purchase suggested items directly online.

[1649] "Means of capturing" refers to the technology that allows the device to sense the user's facial expressions and voice and convert them into data.

[1650] "Means for emotion analysis" refers to the process by which the server analyzes the user's facial expressions and voice data to identify the user's emotional state.

[1651] The "means for adjusting the proposal" is a function that allows the server to create the most suitable coordination proposal for the user based on the analyzed emotional information.

[1652] The "means for searching catalog information" is a technology that allows the server to search product catalogs on the Internet and extract appropriate products.

[1653] "Means for extracting products" refers to the process by which the server selects products from the catalog information that match the user's preferences and emotional state.

[1654] The system of the present invention aims to enable users to quickly realize the interior design of their desired room, and by combining it with an emotion engine, it provides more personalized suggestions according to the user's emotions. An embodiment of the system will be described in detail below.

[1655] System Overview

[1656] The system mainly consists of the following components:

[1657] 1. User terminal: A device (smartphone or PC) on which the user enters information about the room, checks coordination suggestions, and proceeds with the purchase process. The terminal also has the function of capturing the user's facial expressions and voice.

[1658] 2. Server: A computer system that analyzes the room information received from the user, selects furniture and interior decorations based on the user's preferences, and generates coordinated images. The server also uses an emotion engine to analyze the user's emotions and adjusts its suggestions based on that information.

[1659] 3. Emotion engine: This module recognizes emotions from the user's facial expressions and voice data and provides the results to the server.

[1660] Entering room information

[1661] Users upload photos and floor plans of their rooms to the application using their smartphones or PCs. The devices receive this information and send it to the server. The user's facial expressions and voice are also captured using the device's camera and microphone and sent to the server.

[1662] Room information analysis

[1663] The server stores the received photos and floor plans of the rooms and analyzes them, including using image processing libraries such as OpenCV to determine the size and layout of the rooms.

[1664] Understanding user preferences

[1665] The user inputs the style of the room they want (e.g., Scandinavian, modern, etc.) in the application. The device sends this information to the server, which then understands the user's preferences.

[1666] Emotion analysis

[1667] The server uses an emotion engine to analyze the user's facial expressions and voice data to recognize their current emotional state, such as whether they are happy, sad, excited, etc.

[1668] Choosing the best furniture

[1669] The server selects the most suitable furniture and interior decoration based on the user's preferences, the room analysis results, and the emotional information recognized by the emotion engine. To make the selection, the server searches product catalog information on the Internet and extracts related products. For example, it uses the API (online shopping API) of an e-commerce site.

[1670] Coordinate image generation

[1671] The server generates an overall coordinated image based on the selected furniture and interior design information, which is then visually expressed using 3D modeling software such as Blender.

[1672] View offers and purchase functionality

[1673] The terminal displays the generated coordinated image and information about the selected furniture to the user. If the user is satisfied with the suggestions, they can click the "Purchase" button displayed for each item. When this button is clicked, the terminal connects to an online shopping site, allowing the user to purchase the product directly.

[1674] Specific examples

[1675] For example, if a user wants a Scandinavian-style room and uploads photos and floor plans, the process would proceed as follows:

[1676] 1. The user takes a photo of the room and uploads the floor plan to the application.

[1677] 2. The device sends these files to the server.

[1678] 3. The user's facial expressions and voice are also captured and sent to the server.

[1679] 4. The server uses image analysis technology to determine the size and layout of the room and stores the analysis results.

[1680] 5. The server uses the emotion engine to analyze the user's emotions and saves the information.

[1681] 6. The user enters the desired style as "Scandinavian" into the application.

[1682] 7. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor. This selection reflects the user's preference and emotional information.

[1683] 8. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[1684] 9. The terminal displays outfit suggestions to the user and provides a purchase button.

[1685] 10. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[1686] In this way, the system of the present invention can help users realize their ideal room without any hassle while taking into consideration their feelings.

[1687] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1688] Step 1:

[1689] Users open the dedicated application on their smartphone or computer and upload photos and floor plans of their room.

[1690] Input: Room photo, floor plan

[1691] Output: Photos and floor plan data of the room are saved on the device.

[1692] Specific operation: The user selects a photo they have taken or a saved floor plan from the gallery or file browser and clicks the upload button.

[1693] Step 2:

[1694] The terminal sends the uploaded photos and floor plan to the server.

[1695] Input: Room photos and floor plan data

[1696] Output: Photos and floor plan data of the room are sent to the server.

[1697] Specific operation: The terminal transmits the stored data to the specified endpoint of the server via the network.

[1698] Step 3:

[1699] The device captures the user's facial expressions and voice using a camera and microphone and sends the data to a server.

[1700] Input: User's facial and voice data

[1701] Output: Facial expression and voice data are sent to the server.

[1702] What it does: The application accesses the camera and microphone, captures the user's facial expressions in real time, records audio, and sends the data to a server.

[1703] Step 4:

[1704] The server analyzes the received room photos and floor plans to determine the size and layout of the room.

[1705] Input: Room photos and floor plan data

[1706] Output: Room size and layout analysis results

[1707] Specific operation: The server uses image processing libraries such as OpenCV to identify the position of walls and furniture, room dimensions, etc. from photos and floor plans.

[1708] Step 5:

[1709] Users input the desired room style (e.g., Scandinavian, modern, etc.) within the application.

[1710] Input: Desired room style information

[1711] Output: The style information is sent to the server.

[1712] Specific operation: The user selects "Scandinavian" or "Modern" from the application's style selection menu and clicks the submit button.

[1713] Step 6:

[1714] The server analyzes the received style information and stores it in the user profile.

[1715] Input: Desired room style information

[1716] Output: Style information is saved in the user profile.

[1717] What happens: The server parses the style information and adds it to the user profile in the database.

[1718] Step 7:

[1719] The facial expression and voice data received by the server is analyzed by an emotion engine to identify the user's emotional state.

[1720] Input: facial expression and voice data

[1721] Output: Emotional state analysis results

[1722] Specific operation: The server's emotion engine uses facial expression recognition and voice analysis technology to determine whether the user is happy or sad.

[1723] Step 8:

[1724] The server selects the most suitable furniture and interior design based on the user's preferences, room analysis results, and emotional information.

[1725] Input: User preference information, room size and layout information, emotional information

[1726] Output: A list of suitable furniture and decor items

[1727] Specific operation: The server searches for available furniture and interior items on Internet e-commerce sites and selects items that match the user's preferences and emotions.

[1728] Step 9:

[1729] The server generates an overall coordinated image based on the furniture and interior design selected by the server.

[1730] Input: Selected furniture and interior design information

[1731] Output: Coordinate image

[1732] How it works: The server uses 3D modeling software such as Blender to visualize the furniture placement and interior appearance.

[1733] Step 10:

[1734] The terminal displays the generated coordinated image and information about the selected furniture to the user.

[1735] Input: Coordination image, furniture information

[1736] Output: Displayed outfit suggestions

[1737] Specific operation: The device displays coordination suggestions within the application for the user to review.

[1738] Step 11:

[1739] When the user wishes to purchase an item based on the displayed coordination suggestion, the user clicks the "Purchase" button on the terminal.

[1740] Input: User's purchase intent (click)

[1741] Output: Redirect to checkout

[1742] Specific behavior: The device redirects you to an online shopping site and allows you to proceed with the purchase.

[1743] In this way, the present system provides a series of processes that efficiently create an ideal room while taking into consideration the user's emotions.

[1744] (Application example 2)

[1745] 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."

[1746] Conventional interior coordination systems have difficulty in proposing ideas that fully reflect the user's individual preferences and feelings, making it difficult for users to achieve a satisfactory coordination in a short amount of time. In addition, there are limited ways to visually check the proposed coordination, and in particular, there is no real-time confirmation method using virtual reality, which makes it difficult to alleviate users' anxiety when making a final selection.

[1747] 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 means for recognizing the user's emotions, means for visualizing information about the selected furniture and interior decor using virtual reality so that the user can confirm it, and means for searching product catalog information and extracting related products. This makes it possible to propose personalized interior coordination according to the user's emotions, and since the proposed content can be visually confirmed using virtual reality, the user can make a selection with confidence.

[1748] The "means by which a user inputs room information" refers to a method by which a user inputs a photo or floor plan of their room using an application or digital device.

[1749] The "means for analyzing the room information received by the server" is a method for analyzing the size and layout of the room photos and floor plans received by the server from the user using image processing technology.

[1750] "Means for the server to select optimal furniture and interior decoration based on the user's preferences" refers to a method by which the server selects optimal furniture and interior decoration based on the preferred style and color input by the user.

[1751] "Means for generating an overall coordinated image based on furniture and interior design selected by the server" refers to a method for generating a coordinated image that visually shows how furniture and interior design selected by the server should be arranged.

[1752] The "means for the terminal to display coordination suggestions to the user" refers to a method for displaying coordination suggestions generated by the user terminal (such as a smartphone or a PC) to the user.

[1753] "Means for directly purchasing items in the coordination suggestions displayed on the terminal" refers to a method for directly purchasing furniture and interior items in the coordination suggestions displayed on the user terminal online.

[1754] The "means for recognizing the user's emotions" is a method that uses an emotion engine to analyze the user's facial expressions and voice data and recognize the user's current emotional state.

[1755] "A means of visualizing information about selected furniture and interior décor using virtual reality, allowing users to check it" refers to a method of visualizing the coordinated image of selected furniture and interior décor using virtual reality technology, allowing users to check it in real time.

[1756] The "means for searching product catalog information and extracting related products" is a method for searching product catalogs on the Internet and extracting related products that match the user's preferences and requirements.

[1757] The system of the present invention proposes interior coordination in real time, taking into account the user's preferences and emotions, and allows the user to visually confirm the proposal using virtual reality. The detailed configuration of the system is as follows.

[1758] System Overview

[1759] The system consists of the following main components:

[1760] 1. User Device

[1761] A device that allows users to input room information and confirm coordination suggestions from the system. It can be a smartphone, PC, or head-mounted display (HMD). It also includes the ability to capture the user's facial expressions and voice.

[1762] 2. Server

[1763] The system analyzes the received room information, selects furniture and interior design based on the user's preferences, and generates an overall coordinated image. It also has the ability to analyze the user's emotions.

[1764] 3. Emotion Engine

[1765] This module analyzes the user's facial expressions and voice data to recognize their emotional state, which is then used to tailor the suggestions.

[1766] 4. Interior Design Engine

[1767] Based on the user's preferences and emotional data, the system selects the optimal furniture and interior design and generates a coordinated image.

[1768] 5. Virtual Reality Rendering Engine

[1769] Using information on the selected furniture and interior design, the design is visualized in virtual reality so that users can check it out.

[1770] Hardware and Software

[1771] Hardware

[1772] Smartphones, PCs, head-mounted displays (HMDs), etc.

[1773] A capture device such as a 360-degree camera or webcam.

[1774] software

[1775] Image processing library (OpenCV, etc.)

[1776] Emotion recognition module (EmotionRecognizer, etc.)

[1777] Interior Design Engine (DesignEngine)

[1778] Virtual Reality Rendering Engine (VRRenderer)

[1779] Explanation of program processing

[1780] 1. Enter your room information

[1781] Users use their smartphone or HMD camera to capture 360-degree images of their room and upload the data to the app.

[1782] 2. Room information analysis

[1783] The server stores the received photos and floor plans of the rooms and uses image processing technology to analyze the size and layout of the rooms.

[1784] 3. Understanding user preferences

[1785] Within the application, users input their desired room style and color.

[1786] 4. Emotion analysis

[1787] The emotion engine analyzes the user's facial expressions and voice data to recognize their current emotional state.

[1788] 5. Selecting the right furniture

[1789] The server selects the most suitable furniture and interior design based on the user's preferences and emotional data, and searches product catalogs on the Internet to extract related products.

[1790] 6. Coordination Image Generation

[1791] The interior design engine generates an overall coordinated image using the selected furniture and interior decoration and transmits it to the user's terminal.

[1792] 7. Virtual Reality Visualization

[1793] The virtual reality rendering engine visualizes the generated coordinated image in virtual reality, allowing the user to check it.

[1794] 8. Purchase Function

[1795] Provide users with the ability to purchase their favorite items directly from within the app.

[1796] Specific examples

[1797] If a user wants a Scandinavian-style room and uploads photos and floor plans, the process goes something like this:

[1798] 1. The user takes a photo of the room and uploads the floor plan to the application.

[1799] 2. The device sends these files to the server.

[1800] 3. The user's facial expressions and voice are also captured and sent to the server.

[1801] 4. The server uses image analysis technology to determine the size and layout of the room and saves the analysis results.

[1802] 5. The emotion engine analyzes the user's emotions and stores the information.

[1803] 6. The user enters the desired style as "Scandinavian" into the application.

[1804] 7. The server searches product catalog information on the Internet and selects Scandinavian-style furniture and interior decor. This selection reflects the user's preference and emotional information.

[1805] 8. The server generates an overall coordinated image based on the selected furniture and interior and sends it to the user's terminal.

[1806] 9. The device displays outfit suggestions to the user and provides a purchase button.

[1807] 10. If the user is satisfied, he or she can purchase the suggested furniture on the online shopping site.

[1808] Example prompt sentence:

[1809] "Create an application that analyzes the user's emotions in real time and displays the desired Scandinavian-style interior design in VR."

[1810] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1811] Step 1:

[1812] Users capture 360-degree images of the room using their smartphone or HMD camera and upload the data to the app.

[1813] Input: 360° image of a room

[1814] Output: Uploaded image data

[1815] Specific operation: The user uses the camera on their smartphone or HMD to take photos of the room from the front, back, left and right and uploads them to the application. When the user presses the capture button, the camera image data is captured and saved in the application.

[1816] Step 2:

[1817] The terminal transmits the uploaded image data of the room to the server.

[1818] Input: Image data stored in the application

[1819] Output: Image data sent to the server

[1820] Specific operation: The application on the device sends the image data uploaded by the user to the server using an HTTP POST request. Through this process, the server receives the image data of the room.

[1821] Step 3:

[1822] The server analyzes the received image data and determines the size and layout of the room.

[1823] Input: Image data sent to the server

[1824] Output: Room size and layout information

[1825] What it does: An image processing library (e.g., OpenCV) running on the server analyzes the image data, detects dimensions and furniture placement, and generates and stores data about the size and layout of the room.

[1826] Step 4:

[1827] Users input their preferred room style and color within the application.

[1828] Input: User preference information (style, color, etc.)

[1829] Output: User preferences sent to the server

[1830] What it does: A user fills in a form within the application with information about their preferred style, color, budget, etc. This information is then sent to the server.

[1831] Step 5:

[1832] The server selects the most suitable furniture and interior design based on the user's preference information and image data received.

[1833] Input: User preference information, room size and layout information

[1834] Output: Selected furniture and interior design data

[1835] How it works: The interior design engine on the server selects the most suitable furniture and interior design from a product catalog based on the user's preferences and analyzed room data. The data of the selected furniture and interior design is generated and saved.

[1836] Step 6:

[1837] The emotion engine analyzes the user's facial expressions and voice data to recognize their emotional state.

[1838] Input: User's facial expression data, voice data

[1839] Output: User's emotional state data

[1840] Specific operation: The emotion engine analyzes facial expressions and voice data acquired from the user's camera and microphone, and recognizes the user's emotional state in real time. This emotional state data is sent to the server.

[1841] Step 7:

[1842] The server adjusts the selected furniture and interior decor taking into account the user's emotional state data.

[1843] Input: User emotional state data, selected furniture and interior design data

[1844] Output: Furniture and interior design data reflecting emotional state

[1845] How it works: The interior design engine on the server reevaluates and adjusts the selected furniture and interior design based on the user's emotional state data. The adjustment results are saved on the server.

[1846] Step 8:

[1847] An overall coordinated image is generated based on information about the selected and adjusted furniture and interior.

[1848] Input: Adjusted furniture and interior design data, room size and layout information

[1849] Output: Coordinate image data

[1850] Specific operation: The interior design engine on the server generates a visually easy-to-understand coordinated image using the adjusted furniture and interior. The coordinated image data is stored on the server.

[1851] Step 9:

[1852] The terminal receives coordinated image data from the server and visualizes it in virtual reality.

[1853] Input: Coordinate image data

[1854] Output: Coordinated image visualized in virtual reality

[1855] Specific operation: The terminal's virtual reality rendering engine uses the coordinated image data received from the server to visualize it in real time using the HMD.

[1856] Step 10:

[1857] The terminal displays a visualized coordination suggestion to the user, and the user can directly purchase it by pressing a purchase button.

[1858] Input: visualized coordinate image data, user purchase instructions

[1859] Output: Purchase request submitted

[1860] Specific operation: The user's device displays the outfit suggestions displayed in virtual reality. When the user clicks the purchase button for an item they like, they are redirected to the shopping site's purchase page and can proceed with the purchase.

[1861] 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.

[1862] 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.

[1863] 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.

[1864] 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.

[1865] 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.

[1866] 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.

[1867] 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).

[1868] 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.

[1869] 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."

[1870] 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.

[1871] 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).

[1872] 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.

[1873] 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.

[1874] 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.

[1875] 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.

[1876] 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.

[1877] 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.

[1878] 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.

[1879] 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.

[1880] 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.

[1881] 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.

[1882] The following is further disclosed regarding the above embodiment.

[1883] (Claim 1)

[1884] a means for a user to input room information;

[1885] A means for analyzing the room information received by the server;

[1886] A means for the server to select optimal furniture and interior decoration based on the user's preferences;

[1887] A means to generate an overall coordinated image based on the furniture and interior selected by the server,

[1888] a means for displaying coordination suggestions to a user by the terminal;

[1889] The device will be displayed as a means to directly purchase the items suggested for coordination.

[1890] A system including:

[1891] (Claim 2)

[1892] 10. The system of claim 1, wherein the server further comprises means for searching product catalog information and extracting related products.

[1893] (Claim 3)

[1894] 2. The system according to claim 1, wherein the server further comprises means for analyzing the user's preference information and extracting keywords corresponding to the preferences.

[1895] "Example 1"

[1896] (Claim 1)

[1897] a means for a user to input room information;

[1898] means for transmitting the room information received by the terminal to a server;

[1899] A means for the server to analyze the received room information and use an image processing library to identify the dimensions and layout of the room;

[1900] A means for the server to search an online product catalog and select the most suitable furniture and interior decoration based on the user's preferences;

[1901] A method for generating an overall coordinated image using a 3D modeling tool based on the furniture and interior information selected by the server, and

[1902] a means for displaying coordination suggestions to a user by the terminal;

[1903] The device will be displayed as a means to directly purchase the items suggested for coordination.

[1904] A system including:

[1905] (Claim 2)

[1906] 10. The system of claim 1, wherein the server further comprises means for utilizing a plurality of online APIs when searching for product catalog information.

[1907] (Claim 3)

[1908] 10. The system of claim 1, wherein the server further comprises means for analyzing and storing user preference information in a database.

[1909] "Application Example 1"

[1910] (Claim 1)

[1911] a means for a user to input room information;

[1912] A means for analyzing the room information received by the server;

[1913] A means for the server to select optimal furniture and interior decoration based on the user's preferences;

[1914] A means to generate an overall coordinated image based on the furniture and interior selected by the server,

[1915] a means for displaying coordination suggestions to a user by the terminal;

[1916] A means to directly purchase the items suggested for coordination displayed on the device,

[1917] A virtual display device is used to visualize outfit suggestions in real time;

[1918] A system including:

[1919] (Claim 2)

[1920] 10. The system of claim 1, wherein the server further comprises means for searching product catalog information and extracting related products.

[1921] (Claim 3)

[1922] 2. The system according to claim 1, wherein the server further comprises means for analyzing the user's preference information and extracting keywords corresponding to the preferences.

[1923] "Example 2: Combining Emotion Engines"

[1924] (Claim 1)

[1925] a means for a user to input room information;

[1926] A means for analyzing the room information received by the server;

[1927] A means for the server to select optimal furniture and interior decoration based on the user's preferences;

[1928] A means to generate an overall coordinated image based on the furniture and interior selected by the server,

[1929] a means for displaying coordination suggestions to a user by the terminal;

[1930] A means to directly purchase the items suggested for coordination displayed on the device,

[1931] A means for the device to capture the user's facial expressions and voice;

[1932] A means for the server to analyze the user's facial expression and voice data;

[1933] A means for the server to adjust coordination suggestions based on the emotion analysis results;

[1934] A system including:

[1935] (Claim 2)

[1936] 10. The system of claim 1, wherein the server further comprises means for searching product catalog information and extracting related products.

[1937] (Claim 3)

[1938] 2. The system according to claim 1, wherein the server further comprises means for analyzing the user preference information and extracting keywords corresponding to the preferences.

[1939] "Application example 2 when combining emotion engines"

[1940] (Claim 1)

[1941] a means for a user to input room information;

[1942] A means for analyzing the room information received by the server;

[1943] A means for the server to select optimal furniture and interior decoration based on the user's preferences;

[1944] A means to generate an overall coordinated image based on the furniture and interior selected by the server,

[1945] a means for displaying coordination suggestions to a user by the terminal;

[1946] A means to directly purchase the items suggested for coordination displayed on the device,

[1947] an emotion engine that analyzes the user's facial expressions and voice data to identify the user's emotional state;

[1948] The information about the selected furniture and interior design will be visualized in virtual reality, allowing users to check it.

[1949] A system including:

[1950] (Claim 2)

[1951] 10. The system of claim 1, wherein the server further comprises means for searching product catalog information and extracting related products.

[1952] (Claim 3)

[1953] 2. The system according to claim 1, wherein the server further comprises means for analyzing the user's preference information and extracting keywords corresponding to the preferences. [Explanation of symbols]

[1954] 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 input room information; A means for analyzing the room information received by the server; A means for the server to select optimal furniture and interior decoration based on the user's preferences; A means to generate an overall coordinated image based on the furniture and interior selected by the server, a means for displaying coordination suggestions to a user by the terminal; The device will be displayed as a means to directly purchase the items suggested for coordination. A system including:

2. 2. The system of claim 1, wherein the server further comprises means for searching product catalog information and extracting related products.

3. 2. The system according to claim 1, wherein the server further comprises means for analyzing the user's preference information and extracting keywords corresponding to the preferences.

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