System

Abstract

A system is provided.SOLUTION: A system comprising: means for a user to input an interior design; means for a generative artificial intelligence to generate a design based on the inputted data; means for converting the generated design into video data; means for transmitting the video data to a projection device; and means for projecting the video data into a space in real time using the projection device.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] The problem that this invention aims to solve is the problem that changing the interior design requires physical effort, time, and cost. For people who lead busy lives, especially city dwellers, it is difficult to frequently change the interior of their home, and there is a need for a method that provides a highly flexible interior environment. [Means for solving the problem]

[0005] The present invention solves the aforementioned problems with a system that includes a means for a user to input an interior design, a means for a generative artificial intelligence to generate a design based on the input data, a means for converting the generated design into video data, a means for transmitting the video data to a projection device, and a means for projecting the video data into a space in real time using the projection device. Furthermore, the system also includes a means for receiving feedback from the user, for the generative artificial intelligence to modify the design based on the feedback, and for converting the modified design back into video data and transmitting it to the projection device, thereby enabling design adjustments based on the user's preferences. Additionally, the system includes a means for learning from the user's past input data and preferences and optimizing future design proposals, enabling the provision of more personalized interior designs.

[0006] A "user" is an entity that uses the system to carry out changes to the interior design.

[0007] "Interior design" refers to design elements such as the arrangement of interior decorations such as furniture, wallpaper, and interior accessories, as well as coloring, theme, and style.

[0008] "Input means" refers to an interface and method for a user to input information about a desired interior design into the system.

[0009] "Generative AI" refers to AI algorithms and programs that generate designs based on user input data.

[0010] The "means for generating" refers to the process and method by which the generative artificial intelligence generates a specific interior design based on information from the user.

[0011] "Video data" refers to digital data that has been converted from the generated interior design into a format that can be projected by a projection device.

[0012] The "conversion means" refers to a software and hardware configuration for converting the generated interior design into video data.

[0013] A "projection device" is a hardware device for projecting video data into physical space in real time.

[0014] The "transmission means" refers to the communication means and protocol for transmitting the video data to the projection device.

[0015] "Projecting means" refers to the process and method of projecting video data into physical space using a projection device.

[0016] "Feedback" refers to opinions and requests for revisions provided by users regarding the projected interior design.

[0017] "Means of Modification" refers to the process and methods by which the Generative AI adjusts and modifies the design based on user feedback.

[0018] The "re-conversion means" refers to a software and hardware configuration for converting the modified design into new video data.

[0019] "Past input data" refers to the history of information about interior design that the user has previously entered into the system.

[0020] "Preferences" refers to personal preferences such as the user's preferred design elements, style, and color scheme.

[0021] "Optimizing means" refers to the process and method for optimizing and providing future design proposals to users based on past input data and preferences. [Brief explanation of the drawings]

[0022] [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

[0023] 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.

[0024] First, the terms used in the following description will be explained.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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."

[0030] [First embodiment]

[0031] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0032] 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.

[0033] 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).

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0039] 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.

[0040] 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.

[0041] 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.

[0042] 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."

[0043] This invention is a system that allows users to easily change the interior design of a space, using mixed reality (MR) technology and projection mapping to automatically change the design of the space without making any physical changes. This system uses a generative artificial intelligence (AI) to generate designs based on user input, converts them into appropriate video data, and projects them into the space in real time using a projection device.

[0044] User input and data collection

[0045] The user first launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). The device then sends the data entered by the user to the server.

[0046] Design generation and video data conversion

[0047] The server receives the user's input data, and the generative AI generates an interior design based on that data. The generative AI generates design elements (e.g., color combinations and furniture placement) based on the style, color, and theme specified by the user. The generated design is converted into video data. The server then sends this video data to the terminal.

[0048] Transmission of video data to projection device

[0049] The terminal reprocesses the video data received from the server for the projection device, including converting the data into a format appropriate for the screen size and resolution of the projection device, and then transmits the processed data to the projection device.

[0050] Virtual design spatial projection

[0051] The device then uses a projection device to project the generated image data into the user's space in real time. This requires precise alignment with walls and furniture, which the system automatically adjusts to. A modern blue and white color palette is projected onto the user's living room, instantly transforming the look of the interior.

[0052] Feedback and design revisions

[0053] Users can review the projected interior design and provide feedback if necessary. For example, they can input specific requests, such as "I'd like the color to be more vibrant." The device then sends this feedback to the server, which analyzes the feedback and uses the generative AI to modify the design. The modified design is then converted back into video data and sent to the projection device via the device, resulting in the design desired by the user.

[0054] Specific examples

[0055] For example, suppose a user wants to change the color scheme of their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a smartphone app. The data is sent to a server via the internet. The AI ​​on the server generates a modern blue and white design, converts it into video data, and sends it to the device. The device then sends the video data to a projection mapping device, which projects the blue and white design onto the living room walls and furniture. If the user gives feedback that they would like the color scheme to be "a darker blue," the system can reflect this and modify the design and project it again.

[0056] In this way, the present invention allows for quick and efficient changes to interior design, allowing users to freely change the design of a space to suit their preferences or the occasion, without having to physically change the interior.

[0057] The processing flow will be explained below.

[0058] Step 1:

[0059] The user launches a dedicated application and inputs the room they wish to change the interior design of (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm).

[0060] Step 2:

[0061] The device sends the user's input data to the server.

[0062] Step 3:

[0063] The server receives the input data from the user and starts analyzing the data.

[0064] Step 4:

[0065] The server launches the generative artificial intelligence and analyzes the parameters for generating the interior design based on the user's input data.

[0066] Step 5:

[0067] Based on the server's analysis results, a generative artificial intelligence generates design elements (e.g., color combinations, furniture placement, etc.).

[0068] Step 6:

[0069] The server converts the generated design into video data.

[0070] Step 7:

[0071] The server transmits the video data to the terminal.

[0072] Step 8:

[0073] The terminal receives the video data sent from the server and reprocesses it for the projection device, which includes converting the data into a format appropriate for the projection device's screen size and resolution.

[0074] Step 9:

[0075] The terminal transmits the reprocessed video data to the projection device.

[0076] Step 10:

[0077] The terminal activates the projection device, which projects the generated video data onto the physical space in real time.

[0078] Step 11:

[0079] Users can view the projected interior design and provide feedback if necessary.

[0080] Step 12:

[0081] The device sends the user's feedback to the server.

[0082] Step 13:

[0083] The server analyzes the feedback, and the generative AI modifies the design based on the feedback.

[0084] Step 14:

[0085] The server converts the modified design back into video data.

[0086] Step 15:

[0087] The server transmits the corrected video data to the terminal.

[0088] Step 16:

[0089] The terminal receives the new image data sent from the server and reprocesses it for the projection device again.

[0090] Step 17:

[0091] The terminal transmits the reprocessed new image data to the projection device.

[0092] Step 18:

[0093] The terminal uses a projection device to project the modified design back into space.

[0094] Step 19:

[0095] The user reviews the interior design again and can provide further feedback if needed, or end the process if satisfied.

[0096] Example 1

[0097] 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."

[0098] Traditionally, changing interior designs has been difficult because it requires physical work, a lot of time, and is costly. It's also difficult to check the design beforehand, which can lead to dissatisfaction after changes are made. Another issue is that it's not easy to quickly revise the design to reflect user feedback.

[0099] 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.

[0100] In this invention, the server includes a means for a user to input an interior design, a means for transmitting the input data to the server, a means for the server to generate a design based on the input data using artificial intelligence, a means for converting the generated design into video data, a means for the terminal to receive the video data and reprocess it for use in a projection device, and a means for projecting the video data transmitted to the projection device into space in real time. This allows for quick and efficient changes to the interior design without making physical changes. Furthermore, user feedback can be quickly reflected, allowing for real-time revisions to the virtual design.

[0101] "User" refers to the entity that uses the system to change the interior design.

[0102] The "server" is a central processing unit that receives the user's design requirements, generates a design using generative artificial intelligence, and converts it into video data.

[0103] A "terminal" is a device through which a user inputs a design, communicates with a server, and transmits image data to a projection device.

[0104] "Interior design" is the planning of the decoration of the interior of a building, including the layout, colors, and theme of the interior.

[0105] "Generative AI" is an AI model that generates interior designs based on user input data.

[0106] "Video data" refers to digital data for visually projecting the generated interior design.

[0107] A "projection device" is a device for projecting video data into physical space in real time.

[0108] "Feedback" refers to the opinions and requests users provide regarding the projected interior design.

[0109] "Reprocessing" refers to the process in which the terminal converts the video data received from the server into a format suitable for the projection device.

[0110] This invention is a system that allows users to easily change the interior design of a space, using mixed reality (MR) technology and projection mapping to automatically change the design of the space without making any physical changes. This system uses a generative artificial intelligence (AI) to generate designs based on user input, converts them into appropriate video data, and projects them into the space in real time using a projection device.

[0111] The user first launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). This information is entered by the user via a smartphone or tablet, and then sent to a server via the Internet.

[0112] The server generates an interior design using the algorithm of a generative AI model (e.g., a general generative AI model) based on the received user data. This AI model generates design elements (e.g., color combinations and furniture placement) based on the style, color, and theme specified by the user. The generated design data cannot be used as is, so it is converted into video data by the server. This video data is then converted into image or video formats (e.g., JPEG, MP4) and sent to the device.

[0113] The terminal reprocesses the received video data for the projection device. This processing includes converting the data into a format appropriate for the screen size and resolution of the projection device being used (e.g., a general-purpose projector). It also adds alignment data for projection mapping.

[0114] The reprocessed video data is then sent via the terminal to a projection device. The terminal then controls the projection device, projecting the video data into the user's space in real time. For example, a modern blue and white design could be projected onto the wall of a living room, instantly transforming the interior. The system automatically aligns the image precisely with the walls and furniture.

[0115] Users can check the projected interior design and provide feedback as needed. For example, they can input specific requests into the application, such as "I want the color to be more vibrant." The feedback is sent back to the server from the device, where it is analyzed and the generative AI modifies the design. The modified design is then converted back into video data and sent to the projection device via the device, resulting in the design being changed to the user's desired one.

[0116] Specific examples

[0117] For example, suppose a user wants to change the style of their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a dedicated application. The input data is sent to a server via the Internet. The AI ​​on the server generates a modern blue and white design based on the specified style, converts it into video data, and sends it to the device. The device then sends the video data to a projection device, which projects the blue and white design onto the living room walls and furniture. If the user provides feedback such as "I want a darker blue," the system can reflect this and modify the design, then project it again. An example is also shown in which a user inputs the following prompt sentence into the generation AI: "Please design my living room in a modern style with blue and white colors."

[0118] In this way, the present invention allows for quick and efficient changes to interior design, allowing users to freely change the design of a space to suit their preferences or the occasion, without having to physically change the interior.

[0119] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0120] System program processing steps

[0121] Step 1: User Input and Data Collection

[0122] Users launch a dedicated smartphone application and enter information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm).

[0123] Input: Room type, style, color, theme

[0124] Output: Data entered into the application

[0125] The terminal receives the data entered by the user and transmits it to a server over the Internet.

[0126] Input: User-entered design requirement data

[0127] Data processing: converting data into a format that can be sent

[0128] Output: Data sent to the server

[0129] Step 2: Design generation and video data conversion

[0130] The server runs a generative AI model based on the user's input data to generate an interior design.

[0131] Input: Design requirements data sent from the terminal

[0132] Data calculation: Generate designs using generative AI models, creating design elements (color combinations, furniture placement, etc.) that fit the style, color, and theme specified by the user.

[0133] Output: Generated design data

[0134] The server converts the generated design into video data.

[0135] Input: Generated design data

[0136] Data processing: Convert design data into image or video format (e.g., JPEG, MP4)

[0137] Output: Video data

[0138] The server transmits this video data to the terminal.

[0139] Input: Converted video data

[0140] Data processing: Encoding data into a transmittable format

[0141] Output: Video data sent to the device

[0142] Step 3: Sending video data to the projection device

[0143] The terminal reprocesses the video data received from the server for use by the projection device.

[0144] Input: Video data sent from the server

[0145] Data processing: Conversion into a format suitable for the screen size and resolution of the projection device (e.g., adjusting the resolution, adding alignment data)

[0146] Output: Reprocessed video data

[0147] The terminal transmits the reprocessed data to the projection device.

[0148] Input: Reprocessed video data

[0149] Data processing: Encoding data into a transmittable format

[0150] Output: Data sent to the projection device

[0151] Step 4: Spatial projection of the virtual design

[0152] The terminal controls the projection device and projects the generated image data into the user's space in real time.

[0153] Input: Video data sent to the projection device

[0154] Specific operation: Adjust the position of the projection device, calibrate it against walls and furniture, and project the image data.

[0155] Output: The space where the user-specified design is projected

[0156] Step 5: Feedback and design revisions

[0157] Users can view the projected interior design and provide feedback if necessary (e.g., "I'd like to change it to a more vibrant color").

[0158] Input: Feedback content

[0159] Output: Feedback entered into the application

[0160] The terminal sends this feedback to the server.

[0161] Input: User-entered feedback

[0162] Data processing: converting data into a format that can be sent

[0163] Output: Feedback sent to the server

[0164] The server analyzes the feedback and modifies the design using a generative AI model.

[0165] Input: Feedback sent from the device

[0166] Data computation: Generative AI models generate new designs based on feedback

[0167] Output: Modified design data

[0168] The server converts the modified design back into video data and transmits it to the projection device via the terminal.

[0169] Input: Modified design data

[0170] Data processing: Convert design data into image or video format

[0171] Output: Reconverted video data

[0172] The terminal sends this image data back to the projection device, where it is changed to the design desired by the user.

[0173] Input: Reconverted video data

[0174] Data processing: Reprocessing into a format suitable for projection equipment

[0175] Output: The space where the modified design is projected

[0176] In this way, user feedback can be quickly incorporated and modifications to the virtual design can be made in real time.

[0177] (Application example 1)

[0178] 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."

[0179] In modern brick-and-mortar stores, it is important to be able to quickly and effectively change the spatial design for events and promotions. However, changing the physical decoration is time-consuming, costly, and inefficient, especially when the design needs to be changed frequently. Furthermore, the work involved in changing the design can impact sales. Therefore, there is a need for a system that can instantly change the spatial design while minimizing physical effort.

[0180] 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.

[0181] In this invention, the server includes a means for a user to input an interior design, a means for a generating AI to generate a design based on the input data, a means for converting the generated design into video data, and a means for dynamically changing the space design for events or promotions in the store, which makes it possible to change the space design in a short time without making any physical changes.

[0182] "User" is the entity that uses the system to provide input and feedback on interior design.

[0183] "Interior design" is the combination of design elements such as decoration, color, and layout applied to a particular space.

[0184] "Input" is the act of the user providing information to the system, such as desired style, color, theme, etc.

[0185] "Generative AI" is an AI technology that generates appropriate designs based on user input data.

[0186] "Image data" refers to digital data used by a projection device to project the generated design in real time.

[0187] A "projection device" is hardware for projecting video data into space.

[0188] "Projecting into space" refers to using video data to display a visual design on the walls or furniture of an actual physical space.

[0189] "Feedback" refers to input from users regarding evaluations and requests for improvements to the system.

[0190] "Revising" is the act of readjusting the generated design based on user feedback.

[0191] A "brick and mortar store" is a commercial or service establishment that exists in a physical location.

[0192] "Dynamic change" means that the design and settings can be adjusted in real time depending on the situation and conditions.

[0193] The present invention relates to a system for dynamically changing the spatial design of a physical store. Specific embodiments for carrying out the present invention will be described below.

[0194] System configuration

[0195] 1. Users

[0196] Users are store managers and designers, and are the ones who provide input and feedback on interior design. Users use devices such as smartphones and tablets.

[0197] 2. Terminal

[0198] The terminal is operated by the user, sends design information to the server, receives image data from the server, and sends it to the projection device. It also sends user feedback to the server.

[0199] 3. Server

[0200] The server has multiple roles.

[0201] Using generative artificial intelligence, an interior design is generated based on the design information received from the user.

[0202] The generated design is converted into video data and sent to the terminal.

[0203] Get feedback from users and revise your design based on it.

[0204] 4. Projection equipment

[0205] The projection device is hardware that projects video data received from a terminal onto the store's interior in real time, accurately aligning it with the walls and furniture before projecting the video data.

[0206] Program processing and specific examples

[0207] 1. User design input

[0208] Using a dedicated application, users input information such as the area they want to change the design for (for example, a store's display space), their preferred style, color, theme, etc. For example, if they want to change the design to "Modern," "Blue and White," or "Calm," they would enter the following:

[0209] Example prompt:

[0210] Please change the design to "Modern," "Blue and White," or "Calm."

[0211] 2. Collecting data and sending it to the server

[0212] The device sends the design information entered by the user to the server using software for sending HTTP POST requests (e.g., the requests library).

[0213] 3. Design Generation and Transformation

[0214] The server uses generative artificial intelligence (e.g., a deep learning model) to generate an interior design based on the received design information. This generative AI model creates a design that reflects the style, color, and theme specified by the user. The generated design is converted into video data and sent back to the device.

[0215] 4. Transmitting video data to the projection device

[0216] The terminal processes the video data received from the server for the projection device (for example, adjusts the format to match the resolution and screen size) and transmits it to the projection device.

[0217] 5. Spatial projection of virtual designs

[0218] The projection device projects the video data received from the terminal into the space in real time, making it possible to change the design of the space in a short time without making any physical changes.

[0219] Feedback and design revisions

[0220] Users can view the projected interior design in real time and provide feedback as needed. For example, they can enter specific requests, such as "I want a more vibrant color," using the app. The device sends this feedback to the server, which analyzes it and modifies the design using generative artificial intelligence. The modified design is then converted back into video data and sent via the device to the projection device, transforming it into the design desired by the user.

[0221] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0222] Step 1:

[0223] The user launches the smartphone app and inputs information such as the area, style, color, and theme for which they want to change the design. For example, they can input instructions such as "modern," "blue and white," and "calm." This information is then recorded as input data on the device.

[0224] Input: User design information (style, color, theme)

[0225] Output: Recorded input data

[0226] Step 2:

[0227] The terminal sends the design information input by the user to the server. Specifically, the terminal uses an HTTP POST request to send data including the design information to the server.

[0228] Input: Recorded input data

[0229] Output: Data sent to the server

[0230] Step 3:

[0231] The server then uses a generative AI to generate a design based on the received design information. The generative AI model creates a design based on the style, color, and theme specified by the user and converts it into image data. For example, a deep learning model can be used to generate a color scheme and furniture arrangement that matches the specified theme, "Calm."

[0232] Input: Submitted design information

[0233] Output: Generated design image data

[0234] Step 4:

[0235] The server sends the generated design image data to the terminal using an HTTP response.

[0236] Input: Generated design image data

[0237] Output: Data sent to the terminal

[0238] Step 5:

[0239] The terminal reprocesses the design image data received from the server into a format suitable for the projection device. Specifically, it converts the data to match the resolution and screen size, making it easier to send to the projection device.

[0240] Input: Design image data received from the server

[0241] Output: Reprocessed video data

[0242] Step 6:

[0243] The terminal transmits the reprocessed image data to the projection device, specifically, by transmitting the data to the projection device through an interface.

[0244] Input: Reprocessed video data

[0245] Output: Data sent to the projection device

[0246] Step 7:

[0247] The projection device projects the received image data onto the actual store space in real time, accurately aligning it with the walls and furniture during projection.

[0248] Input: Data to be sent to the projection device

[0249] Output: Design projected into space

[0250] Step 8:

[0251] Users can view the projected design and provide feedback as needed, for example by entering specific requests into the app, such as "I'd like it to be a brighter blue."

[0252] Input: User feedback on the projected design

[0253] Output: Feedback information

[0254] Step 9:

[0255] The terminal transmits the user's feedback information to the server.

[0256] Input: Feedback information

[0257] Output: Data sent to the server

[0258] Step 10:

[0259] The server analyzes the user's feedback, and the generative AI modifies the design, readjusting the color scheme and layout based on the feedback and generating new design image data.

[0260] Input: Feedback information submitted

[0261] Output: Modified design image data

[0262] Step 11:

[0263] The server transmits the corrected design image data to the terminal again.

[0264] Input: Modified design image data

[0265] Output: Data sent to the terminal

[0266] Step 12:

[0267] The terminal reprocesses and transmits the modified design image data received from the server to the projection device, which then re-projects the modified design.

[0268] Input: Modified design image data

[0269] Output: Modified design projected in space

[0270] 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.

[0271] This invention is an interior design modification system that combines an emotion engine that recognizes user emotions, and uses mixed reality (MR) technology and projection mapping to automatically generate designs based on the user's emotions and preferences, and project them into the space without making any physical changes. This system integrates generative artificial intelligence, which has the function of generating designs based on user input and past preference data, with an emotion engine that recognizes user emotions in real time.

[0272] User input and data collection

[0273] The user first launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). The system also incorporates an emotion engine that recognizes the user's emotions in real time by analyzing their facial expressions and tone of voice through a camera and microphone. The device then transmits the data entered by the user and the emotion data to the server.

[0274] Design generation and video data conversion

[0275] The server receives the user's input data and emotional data, and the artificial intelligence uses this data to analyze parameters for generating an interior design. The emotional data analyzed by the emotion engine is also taken into consideration when generating the design. For example, if the user is feeling stressed, a more relaxing color tone or theme will be selected. The generated interior design is converted into video data. The server then sends this video data to the device.

[0276] Transmission of video data to projection device

[0277] The terminal reprocesses the video data received from the server for the projection device, including converting the data into a format appropriate for the screen size and resolution of the projection device, and then transmits the processed data to the projection device.

[0278] Virtual design spatial projection

[0279] The device uses a projection device to project the generated image data into the user's space in real time. This projection requires precise alignment with walls and furniture, which the system automatically adjusts. The optimal design is projected into the user's living room based on the emotion recognized by the emotion engine. For example, when the user feels like relaxing, a calm, modern blue and white design is projected.

[0280] Feedback and design revisions

[0281] Users can review the projected interior design and provide feedback if necessary. For example, they can input specific requests such as "I'd like the color to be more vibrant." The device then sends this feedback to the server. The server analyzes the feedback and, together with emotional data, the artificial intelligence system modifies the design. The modified design is then converted back into video data and sent to the projection device via the device, transforming it into the design desired by the user.

[0282] Specific examples

[0283] For example, suppose a user wants to change their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a smartphone app. This data, along with emotional data obtained from the user's facial expressions and tone of voice, is sent to a server via the Internet. The emotion engine recognizes that the user is seeking relaxation, and based on this, the generative artificial intelligence designs a modern blue and white color palette. The generated design is converted into video data and sent to the device. The device then sends the video data to a projection mapping device, which projects the blue and white design onto the living room walls and furniture. If the user provides feedback such as "I want the colors to be more vibrant," the system can reflect this and modify the design, then project it again.

[0284] In this way, the present invention allows for quick and efficient changes to the interior design based on the user's emotions and preferences, allowing the user to freely enjoy a fresh space without having to physically change the interior.

[0285] The processing flow will be explained below.

[0286] Step 1:

[0287] The user launches a dedicated application and inputs the room they wish to change the interior design of (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm).

[0288] Step 2:

[0289] The device sends the user's input data to the server.

[0290] Step 3:

[0291] The device simultaneously collects the user's facial expressions and tone of voice through a camera and microphone to generate emotional data.

[0292] Step 4:

[0293] The device transmits the collected emotion data to a server.

[0294] Step 5:

[0295] The server receives the input data and emotion data from the user and starts data analysis.

[0296] Step 6:

[0297] The server launches the artificial intelligence (AI) to analyze parameters for generating interior designs based on the user's input data and emotional data. The emotional data is used to determine how the user is feeling (e.g., relaxed, stressed, etc.).

[0298] Step 7:

[0299] Based on the analysis results, the server uses generative AI to generate design elements (e.g., color combinations, furniture placement, etc.). Based on the emotional data, the design that best suits the user's emotions is selected.

[0300] Step 8:

[0301] The server converts the generated design into video data, which includes the process of converting the data into a format that can be projected by a projection device.

[0302] Step 9:

[0303] The server transmits the video data to the terminal.

[0304] Step 10:

[0305] The terminal receives the video data sent from the server and reprocesses it for the projection device.

[0306] Step 11:

[0307] The terminal transmits the reprocessed video data to the projection device.

[0308] Step 12:

[0309] The device activates the projection device and projects the generated image data into the user's space in real time, requiring precise alignment with walls and furniture, as well as color tones and themes that match the emotional atmosphere.

[0310] Step 13:

[0311] Users can view the projected interior design and provide feedback if necessary.

[0312] Step 14:

[0313] The device sends the user's feedback to the server.

[0314] Step 15:

[0315] The server analyzes the feedback, and the generative AI modifies the design based on the feedback.

[0316] Step 16:

[0317] The server converts the modified design back into video data.

[0318] Step 17:

[0319] The server transmits the corrected video data to the terminal.

[0320] Step 18:

[0321] The terminal receives the new image data sent from the server and reprocesses it for the projection device again.

[0322] Step 19:

[0323] The terminal transmits the reprocessed new image data to the projection device.

[0324] Step 20:

[0325] The terminal uses a projection device to project the modified design back into space.

[0326] Step 21:

[0327] The user reviews the interior design again and can provide further feedback if needed, or end the process if satisfied.

[0328] Examples:

[0329] For example, suppose a user wants to redesign their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a smartphone app. This data, along with emotional data obtained from the user's facial expressions and tone of voice, is sent to a server via the Internet. The emotion engine recognizes that the user is seeking relaxation, and based on this, the generative AI designs a modern blue and white color palette. The generated design is converted into video data and sent to the device. The device then sends the video data to a projection mapping device, which projects the blue and white design onto the living room walls and furniture. If the user provides feedback such as "I want the colors to be more vibrant," the system can reflect this and modify the design and project it again. In this way, the design can be changed to suit the user's emotions and preferences without making any physical changes to the interior.

[0330] Example 2

[0331] 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."

[0332] In today's world, changing or adjusting interior designs is time-consuming and costly, placing a significant burden on users. Furthermore, there are few systems that can change designs in real time based on users' emotions and preferences. As a result, users are seeking systems that allow them to easily and flexibly change interior designs, but current technology does not adequately address this demand. Furthermore, there is a lack of systems that can generate designs that take user emotional data into account, and efficient processes for incorporating feedback.

[0333] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input an interior design, a means for collecting the input data and emotional data, a means for a generation AI to generate a design based on the collected data, a means for converting the generated design into video data, a means for transmitting the video data to a projection device, and a means for projecting the video data into space in real time using the projection device. This allows the user to quickly and efficiently change the interior design based on the emotional data and preferences without making any physical changes.

[0334] "User" refers to an individual or organization who wishes to use this system to change the interior design.

[0335] "Interior design input means" refers to an interface that allows users to input information such as the style, color, theme, and location of their desired interior design.

[0336] "Emotional data" refers to data about a user's emotional state that is analyzed from the user's facial expressions and tone of voice captured through a camera or microphone.

[0337] "Means for collection" refers to devices or software for acquiring data and emotional data entered by users and storing or transmitting them within the system.

[0338] "Generative AI" refers to an AI technology that generates optimal interior designs based on user input data and emotional data.

[0339] "Means for generating designs" refers to processes and devices that analyze collected data and automatically generate interior designs.

[0340] "Means for converting into video data" refers to a process and device for converting the generated interior design into a format that can be projected by a projection device.

[0341] "Means for transmitting image data" refers to a process and device for transmitting the converted image data to a projection device.

[0342] "Projection device" refers to a device for projecting transmitted video data into physical space.

[0343] "Real-time projection means" refers to the process and apparatus for instantly projecting the generated design into the user's space.

[0344] This invention is an interior design modification system that combines an emotion engine that recognizes user emotions, and uses MR (Mixed Reality) technology and projection mapping to automatically generate designs based on the user's emotions and preferences, and project them into the space without making any physical changes. This system integrates generative artificial intelligence that generates designs based on user input and emotion data with an emotion engine that recognizes user emotions in real time.

[0345] First, the user launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). The system also incorporates an emotion engine that analyzes the user's facial expressions and tone of voice via a camera and microphone to collect emotional data. This input data and emotional data are then sent to the server by the device.

[0346] The server then activates a generative AI model based on the received user input and emotion data to generate an appropriate interior design. For example, the generative AI model receives a prompt such as: "Change the living room to a modern style with a blue and white color palette. The user is looking for relaxation." The generated design is converted into video data and sent from the server to the device.

[0347] The terminal reprocesses the received video data for the projection device, converting it into a format suitable for the projection device's screen size and resolution, and then transmits the video data to the projection device.

[0348] The device uses a projection device to project the generated interior design into the user's space in real time. This projection requires precise alignment with walls and furniture, and the system automatically adjusts this using cameras and sensors. For example, a blue and white design can be accurately projected onto the wall of a living room.

[0349] Users can review the projected interior design and provide feedback as needed. This feedback can include specific requests such as "I'd like the color to be more vibrant." This feedback is also sent to the server by the device, and the generative AI model again generates a design that takes the feedback into account. The revised design is converted back into video data and sent to the projection device via the device, where it is displayed in real time.

[0350] For example, suppose a user wants to change their living room to a "modern" style with a "blue and white" color scheme. The user enters this information using a smartphone app and turns on their camera and microphone. The emotion engine recognizes that the user wants to relax, and based on that, the generative AI model generates a modern blue and white design. The generated design is converted into video data and projected onto the living room wall via a projection device. If the user gives feedback such as "I want the colors to be more vibrant," the system can reflect that feedback, modify the design, and project it again. In this way, the present invention enables quick and efficient changes to interior design based on the user's emotions and preferences.

[0351] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0352] Step 1:

[0353] The user launches a dedicated application. They input information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). Their facial expressions and tone of voice are analyzed via a camera and microphone, and emotional data is collected. The user's input data and emotional data are sent to the device. The input data includes design requirements in text format and emotional data acquired in real time, and the output is a data package sent to the server.

[0354] Step 2:

[0355] The terminal transmits the input data and emotion data received from the user to the server. Specifically, the data package is transmitted to the server via the Internet. At this point, the data is shaped and formatted so that the input data and emotion data are accurately transmitted to the server. The input is the data package from the user, and the output is the formatted data to be transmitted to the server.

[0356] Step 3:

[0357] The server launches a generative AI model based on the received user input data and emotional data. The generative AI model generates an interior design by analyzing the prompt, "Change the living room to a modern style with a blue and white color palette. The user is looking for relaxation." The input data are the user's preferences and emotional data, and the output data is the generated interior design. Specific operations include running the AI ​​model and generating a design.

[0358] Step 4:

[0359] The server converts the generated interior design into video data. This process includes converting the interior design into a video format for projection mapping. For example, the design is converted into high-resolution video data (e.g., 1920x1080 pixels). The input is the generated design, and the output is video data suitable for a projection device. Specific operations include format conversion and data encoding.

[0360] Step 5:

[0361] The server transmits the converted video data to the terminal. The video data is transmitted via the Internet, and the terminal prepares to process the received data. The input is the converted video data, and the output is the video data transmitted to the terminal. A specific operation is a data transmission transaction.

[0362] Step 6:

[0363] The terminal reprocesses the received video data for the projection device. This reprocessing includes converting the data into a format suitable for the screen size and resolution of the projection device. The processed data is sent to the projection device. The input is the video data received from the server, and the output is the data reprocessed for the projection device. Specific operations include adjusting the resolution and converting the format.

[0364] Step 7:

[0365] The device uses a projection device to project the generated interior design into the user's space in real time. This projection requires precise alignment with walls and furniture, which the system automatically adjusts using cameras and sensors. For example, a blue and white design can be accurately projected onto the wall of a living room. The input is the reprocessed video data, and the output is the design projected into the space. Specific operations include controlling the projection device and aligning it in real time.

[0366] Step 8:

[0367] The user checks the projected interior design and provides feedback as needed. Feedback can include specific requests such as "I'd like to change it to a more vibrant color." The feedback data is also sent to the server by the device, and the generative AI model again generates a design that takes the feedback into account. The input is the user's feedback data, and the output is update request data that is sent to the server. Specific operations include obtaining feedback and sending data on the user interface.

[0368] (Application example 2)

[0369] 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."

[0370] Conventional interior design change systems were unable to adjust the design in real time to match the user's emotions or the atmosphere of the space. Furthermore, modifying the design based on feedback took time, making it difficult to provide the user with the ideal space. Furthermore, the system is required to recognize the user's emotions and provide the optimal design accordingly.

[0371] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for a user to input an interior design, a means for a generation AI to generate a design based on the input data and the user's emotion data, a means for converting the generated design into video data, a means for transmitting the video data to a projection device, a means for projecting the video data into space in real time using the projection device, and a means combining an emotion engine that recognizes the user's emotions. This makes it possible to provide an optimal interior design in real time according to the user's emotions.

[0372] "User" refers to an individual or organization that uses this system and is the entity that makes changes to the interior design and provides feedback.

[0373] "Interior design" refers to the visual layout, color, and style of a room or space, including the user's preferred style or theme.

[0374] "Input Data" means information provided by a user to the system, including interior design preferences and desired colors, styles, and themes.

[0375] "Generative AI" is an AI that has the technology to generate optimal interior designs based on input data and user emotional data.

[0376] "Video data" refers to data for visually expressing the interior design generated by the generation artificial intelligence, and is projected by a projection device.

[0377] A "projection device" is hardware for projecting video data into real space, and is a device that accurately aligns the image with walls, furniture, etc.

[0378] The "emotion engine" is an engine that has the technology to analyze the user's facial expressions and tone of voice through a camera and microphone, and recognize the user's emotions in real time.

[0379] "Feedback" refers to opinions and requests, including requests for corrections and improvements, provided by the user regarding the interior design generated by the system.

[0380] "Smartphones," "smart glasses," and "head-mounted displays" are devices that allow users to access systems and applications, and are used to collect emotional data and input design changes.

[0381] A "robot" is an autonomous machine that assists in collecting and projecting emotional data according to instructions generated by the system.

[0382] The present invention relates to an interior design modification system combined with an emotion engine that recognizes user emotions. The present invention will be described below with an application example of improving the shopping experience in a virtual store.

[0383] System Program

[0384] 1. User emotion recognition:

[0385] The device (such as smart glasses) uses a camera and microphone to collect the user's facial expressions and tone of voice.

[0386] The emotion engine analyzes this data and recognizes the user's emotions in real time.

[0387] 2. Generate the design:

[0388] The server receives user input data (style, color, theme, etc.) and emotion data.

[0389] A generative artificial intelligence (AI model) generates interior design parameters based on this data.

[0390] For example, if a user is feeling stressed, choose a design or color scheme that is relaxing.

[0391] 3. Video data conversion and transmission:

[0392] The server converts the generated design into video data.

[0393] The video data is sent to the terminal, which then reprocesses it for the projection device.

[0394] Specifically, the data is converted into a format suitable for the screen size and resolution of the projection device.

[0395] 4. Spatial projection of virtual design:

[0396] The terminal uses a projection device to project video data into space in real time.

[0397] The optimal design based on the user's emotions is projected into the store's virtual space.

[0398] 5. Feedback and design revisions:

[0399] Users review the projected designs and provide feedback.

[0400] Enter specific requests such as "I would like the color to be more vibrant."

[0401] The device sends this feedback to the server, which analyzes it.

[0402] The generative AI regenerates the design based on feedback and emotional data, and then converts the revised design back into video data and sends it to the device.

[0403] Hardware and Software

[0404] The hardware used may include smart glasses, a smartphone, a head-mounted display, or a robot.

[0405] The software includes an emotion engine for emotion recognition, generative artificial intelligence for design generation, and a projection device for processing video data.

[0406] Specific examples

[0407] For example, a user can access a virtual store using smart glasses. The user can communicate their desire to relax through a camera and microphone to the system. The emotion engine will detect the user's stress and generate a design based on a blue and white relaxation theme, allowing the user to have a more comfortable shopping experience in the virtual store.

[0408] Prompt Sentence Examples

[0409] text

[0410] The user is stressed, so please create a relaxing, modern design in blue and white. Specifically, a calm ocean theme.

[0411] In this way, the present invention allows for quick and efficient changes to the interior design based on the user's emotions and preferences, allowing the user to freely enjoy a fresh space without having to physically change the interior.

[0412] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0413] Step 1:

[0414] The user accesses the system by wearing a device such as smart glasses. The user inputs information about the interior design changes they wish to make (style, color, theme, etc.). The input data generated by this process is used in subsequent processing. The input data reflects the user's tastes and preferences.

[0415] Step 2:

[0416] The device uses a camera and microphone to collect the user's facial expressions and tone of voice in real time. The collected data is used as input data to recognize the user's emotional state. The emotion engine analyzes this data and recognizes the user's emotions in real time. The emotion data influences subsequent design generation.

[0417] Step 3:

[0418] The device sends the user's input data and emotional data to the server. The server receives this data and uses it as input data for design generation. The data becomes the basis for generating interior designs that reflect the user's preferences and emotional state.

[0419] Step 4:

[0420] The server uses a generative artificial intelligence (AI model) to generate interior design parameters based on the received user input data and emotional data. The generated parameters reflect the design according to the user's emotions. For example, if the user is looking for relaxation, a design based on blue and white will be selected.

[0421] Step 5:

[0422] The server converts the generated design parameters into video data and transmits it to the terminal. The video data is output in a format suitable for the projection device. The video data includes the specified style and color pattern.

[0423] Step 6:

[0424] The terminal reprocesses the received video data for the projection device, including converting it into a data format appropriate for the projection device's screen size and resolution. The adjusted video data is then sent to the projection device.

[0425] Step 7:

[0426] The device uses a projection device to project the generated design onto a physical space, such as a living room, in real time. The projection requires precise alignment, which the system automatically adjusts, allowing users to visually enjoy the virtual interior design in real time.

[0427] Step 8:

[0428] Users can check the projected design and provide specific feedback as needed, such as "I'd like the color to be more vibrant." Feedback is important for further improving user satisfaction.

[0429] Step 9:

[0430] The device sends the feedback received from the user to the server, which receives it and analyzes it as data for design revisions. The feedback data is reflected in subsequent design revisions.

[0431] Step 10:

[0432] The server uses generative AI to regenerate the design based on the received feedback and emotion data. The revised design is converted back into video data and sent back to the device. This updates the optimal design to reflect the user's wishes.

[0433] Through these steps, users can experience the optimal virtual space based on their emotions and preferences without having to make any physical changes to the interior.

[0434] 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.

[0435] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0436] 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.

[0437] [Second embodiment]

[0438] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0439] 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.

[0440] 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).

[0441] 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.

[0442] 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.

[0443] 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).

[0444] 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.

[0445] 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.

[0446] 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.

[0447] 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.

[0448] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0449] 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."

[0450] This invention is a system that allows users to easily change the interior design of a space, using mixed reality (MR) technology and projection mapping to automatically change the design of the space without making any physical changes. This system uses a generative artificial intelligence (AI) to generate designs based on user input, converts them into appropriate video data, and projects them into the space in real time using a projection device.

[0451] User input and data collection

[0452] The user first launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). The device then sends the data entered by the user to the server.

[0453] Design generation and video data conversion

[0454] The server receives the user's input data, and the generative AI generates an interior design based on that data. The generative AI generates design elements (e.g., color combinations and furniture placement) based on the style, color, and theme specified by the user. The generated design is converted into video data. The server then sends this video data to the terminal.

[0455] Transmission of video data to projection device

[0456] The terminal reprocesses the video data received from the server for the projection device, including converting the data into a format appropriate for the screen size and resolution of the projection device, and then transmits the processed data to the projection device.

[0457] Virtual design spatial projection

[0458] The device then uses a projection device to project the generated image data into the user's space in real time. This requires precise alignment with walls and furniture, which the system automatically adjusts to. A modern blue and white color palette is projected onto the user's living room, instantly transforming the look of the interior.

[0459] Feedback and design revisions

[0460] Users can review the projected interior design and provide feedback if necessary. For example, they can input specific requests, such as "I'd like the color to be more vibrant." The device then sends this feedback to the server, which analyzes the feedback and uses the generative AI to modify the design. The modified design is then converted back into video data and sent to the projection device via the device, resulting in the design desired by the user.

[0461] Specific examples

[0462] For example, suppose a user wants to change the color scheme of their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a smartphone app. The data is sent to a server via the internet. The AI ​​on the server generates a modern blue and white design, converts it into video data, and sends it to the device. The device then sends the video data to a projection mapping device, which projects the blue and white design onto the living room walls and furniture. If the user gives feedback that they would like the color scheme to be "a darker blue," the system can reflect this and modify the design and project it again.

[0463] In this way, the present invention allows for quick and efficient changes to interior design, allowing users to freely change the design of a space to suit their preferences or the occasion, without having to physically change the interior.

[0464] The processing flow will be explained below.

[0465] Step 1:

[0466] The user launches a dedicated application and inputs the room they wish to change the interior design of (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm).

[0467] Step 2:

[0468] The device sends the user's input data to the server.

[0469] Step 3:

[0470] The server receives the input data from the user and starts analyzing the data.

[0471] Step 4:

[0472] The server launches the generative artificial intelligence and analyzes the parameters for generating the interior design based on the user's input data.

[0473] Step 5:

[0474] Based on the server's analysis results, a generative artificial intelligence generates design elements (e.g., color combinations, furniture placement, etc.).

[0475] Step 6:

[0476] The server converts the generated design into video data.

[0477] Step 7:

[0478] The server transmits the video data to the terminal.

[0479] Step 8:

[0480] The terminal receives the video data sent from the server and reprocesses it for the projection device, which includes converting the data into a format appropriate for the projection device's screen size and resolution.

[0481] Step 9:

[0482] The terminal transmits the reprocessed video data to the projection device.

[0483] Step 10:

[0484] The terminal activates the projection device, which projects the generated video data onto the physical space in real time.

[0485] Step 11:

[0486] Users can view the projected interior design and provide feedback if necessary.

[0487] Step 12:

[0488] The device sends the user's feedback to the server.

[0489] Step 13:

[0490] The server analyzes the feedback, and the generative AI modifies the design based on the feedback.

[0491] Step 14:

[0492] The server converts the modified design back into video data.

[0493] Step 15:

[0494] The server transmits the corrected video data to the terminal.

[0495] Step 16:

[0496] The terminal receives the new image data sent from the server and reprocesses it for the projection device again.

[0497] Step 17:

[0498] The terminal transmits the reprocessed new image data to the projection device.

[0499] Step 18:

[0500] The terminal uses a projection device to project the modified design back into space.

[0501] Step 19:

[0502] The user reviews the interior design again and can provide further feedback if needed, or end the process if satisfied.

[0503] Example 1

[0504] 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."

[0505] Traditionally, changing interior designs has been difficult because it requires physical work, a lot of time, and is costly. It's also difficult to check the design beforehand, which can lead to dissatisfaction after changes are made. Another issue is that it's not easy to quickly revise the design to reflect user feedback.

[0506] 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.

[0507] In this invention, the server includes a means for a user to input an interior design, a means for transmitting the input data to the server, a means for the server to generate a design based on the input data using artificial intelligence, a means for converting the generated design into video data, a means for the terminal to receive the video data and reprocess it for use in a projection device, and a means for projecting the video data transmitted to the projection device into space in real time. This allows for quick and efficient changes to the interior design without making physical changes. Furthermore, user feedback can be quickly reflected, allowing for real-time revisions to the virtual design.

[0508] "User" refers to the entity that uses the system to change the interior design.

[0509] The "server" is a central processing unit that receives the user's design requirements, generates a design using generative artificial intelligence, and converts it into video data.

[0510] A "terminal" is a device through which a user inputs a design, communicates with a server, and transmits image data to a projection device.

[0511] "Interior design" is the planning of the decoration of the interior of a building, including the layout, colors, and theme of the interior.

[0512] "Generative AI" is an AI model that generates interior designs based on user input data.

[0513] "Video data" refers to digital data for visually projecting the generated interior design.

[0514] A "projection device" is a device for projecting video data into physical space in real time.

[0515] "Feedback" refers to the opinions and requests users provide regarding the projected interior design.

[0516] "Reprocessing" refers to the process in which the terminal converts the video data received from the server into a format suitable for the projection device.

[0517] This invention is a system that allows users to easily change the interior design of a space, using mixed reality (MR) technology and projection mapping to automatically change the design of the space without making any physical changes. This system uses a generative artificial intelligence (AI) to generate designs based on user input, converts them into appropriate video data, and projects them into the space in real time using a projection device.

[0518] The user first launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). This information is entered by the user via a smartphone or tablet, and then sent to a server via the Internet.

[0519] The server generates an interior design using the algorithm of a generative AI model (e.g., a general generative AI model) based on the received user data. This AI model generates design elements (e.g., color combinations and furniture placement) based on the style, color, and theme specified by the user. The generated design data cannot be used as is, so it is converted into video data by the server. This video data is then converted into image or video formats (e.g., JPEG, MP4) and sent to the device.

[0520] The terminal reprocesses the received video data for the projection device. This processing includes converting the data into a format appropriate for the screen size and resolution of the projection device being used (e.g., a general-purpose projector). It also adds alignment data for projection mapping.

[0521] The reprocessed video data is then sent via the terminal to a projection device. The terminal then controls the projection device, projecting the video data into the user's space in real time. For example, a modern blue and white design could be projected onto the wall of a living room, instantly transforming the interior. The system automatically aligns the image precisely with the walls and furniture.

[0522] Users can check the projected interior design and provide feedback as needed. For example, they can input specific requests into the application, such as "I want the color to be more vibrant." The feedback is sent back to the server from the device, where it is analyzed and the generative AI modifies the design. The modified design is then converted back into video data and sent to the projection device via the device, resulting in the design being changed to the user's desired one.

[0523] Specific examples

[0524] For example, suppose a user wants to change the style of their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a dedicated application. The input data is sent to a server via the Internet. The AI ​​on the server generates a modern blue and white design based on the specified style, converts it into video data, and sends it to the device. The device then sends the video data to a projection device, which projects the blue and white design onto the living room walls and furniture. If the user provides feedback such as "I want a darker blue," the system can reflect this and modify the design, then project it again. An example is also shown in which a user inputs the following prompt sentence into the generation AI: "Please design my living room in a modern style with blue and white colors."

[0525] In this way, the present invention allows for quick and efficient changes to interior design, allowing users to freely change the design of a space to suit their preferences or the occasion, without having to physically change the interior.

[0526] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0527] System program processing steps

[0528] Step 1: User Input and Data Collection

[0529] Users launch a dedicated smartphone application and enter information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm).

[0530] Input: Room type, style, color, theme

[0531] Output: Data entered into the application

[0532] The terminal receives the data entered by the user and transmits it to a server over the Internet.

[0533] Input: User-entered design requirement data

[0534] Data processing: converting data into a format that can be sent

[0535] Output: Data sent to the server

[0536] Step 2: Design generation and video data conversion

[0537] The server runs a generative AI model based on the user's input data to generate an interior design.

[0538] Input: Design requirements data sent from the terminal

[0539] Data calculation: Generate designs using generative AI models, creating design elements (color combinations, furniture placement, etc.) that fit the style, color, and theme specified by the user.

[0540] Output: Generated design data

[0541] The server converts the generated design into video data.

[0542] Input: Generated design data

[0543] Data processing: Convert design data into image or video format (e.g., JPEG, MP4)

[0544] Output: Video data

[0545] The server transmits this video data to the terminal.

[0546] Input: Converted video data

[0547] Data processing: Encoding data into a transmittable format

[0548] Output: Video data sent to the device

[0549] Step 3: Sending video data to the projection device

[0550] The terminal reprocesses the video data received from the server for use by the projection device.

[0551] Input: Video data sent from the server

[0552] Data processing: Conversion into a format suitable for the screen size and resolution of the projection device (e.g., adjusting the resolution, adding alignment data)

[0553] Output: Reprocessed video data

[0554] The terminal transmits the reprocessed data to the projection device.

[0555] Input: Reprocessed video data

[0556] Data processing: Encoding data into a transmittable format

[0557] Output: Data sent to the projection device

[0558] Step 4: Spatial projection of the virtual design

[0559] The terminal controls the projection device and projects the generated image data into the user's space in real time.

[0560] Input: Video data sent to the projection device

[0561] Specific operation: Adjust the position of the projection device, calibrate it against walls and furniture, and project the image data.

[0562] Output: The space where the user-specified design is projected

[0563] Step 5: Feedback and design revisions

[0564] Users can view the projected interior design and provide feedback if necessary (e.g., "I'd like to change it to a more vibrant color").

[0565] Input: Feedback content

[0566] Output: Feedback entered into the application

[0567] The terminal sends this feedback to the server.

[0568] Input: User-entered feedback

[0569] Data processing: converting data into a format that can be sent

[0570] Output: Feedback sent to the server

[0571] The server analyzes the feedback and modifies the design using a generative AI model.

[0572] Input: Feedback sent from the device

[0573] Data computation: Generative AI models generate new designs based on feedback

[0574] Output: Modified design data

[0575] The server converts the modified design back into video data and transmits it to the projection device via the terminal.

[0576] Input: Modified design data

[0577] Data processing: Convert design data into image or video format

[0578] Output: Reconverted video data

[0579] The terminal sends this image data back to the projection device, where it is changed to the design desired by the user.

[0580] Input: Reconverted video data

[0581] Data processing: Reprocessing into a format suitable for projection equipment

[0582] Output: The space where the modified design is projected

[0583] In this way, user feedback can be quickly incorporated and modifications to the virtual design can be made in real time.

[0584] (Application example 1)

[0585] 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."

[0586] In modern brick-and-mortar stores, it is important to be able to quickly and effectively change the spatial design for events and promotions. However, changing the physical decoration is time-consuming, costly, and inefficient, especially when the design needs to be changed frequently. Furthermore, the work involved in changing the design can impact sales. Therefore, there is a need for a system that can instantly change the spatial design while minimizing physical effort.

[0587] 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.

[0588] In this invention, the server includes a means for a user to input an interior design, a means for a generating AI to generate a design based on the input data, a means for converting the generated design into video data, and a means for dynamically changing the space design for events or promotions in the store, which makes it possible to change the space design in a short time without making any physical changes.

[0589] "User" is the entity that uses the system to provide input and feedback on interior design.

[0590] "Interior design" is the combination of design elements such as decoration, color, and layout applied to a particular space.

[0591] "Input" is the act of the user providing information to the system, such as desired style, color, theme, etc.

[0592] "Generative AI" is an AI technology that generates appropriate designs based on user input data.

[0593] "Image data" refers to digital data used by a projection device to project the generated design in real time.

[0594] A "projection device" is hardware for projecting video data into space.

[0595] "Projecting into space" refers to using video data to display a visual design on the walls or furniture of an actual physical space.

[0596] "Feedback" refers to input from users regarding evaluations and requests for improvements to the system.

[0597] "Revising" is the act of readjusting the generated design based on user feedback.

[0598] A "brick and mortar store" is a commercial or service establishment that exists in a physical location.

[0599] "Dynamic change" means that the design and settings can be adjusted in real time depending on the situation and conditions.

[0600] The present invention relates to a system for dynamically changing the spatial design of a physical store. Specific embodiments for carrying out the present invention will be described below.

[0601] System configuration

[0602] 1. Users

[0603] Users are store managers and designers, and are the ones who provide input and feedback on interior design. Users use devices such as smartphones and tablets.

[0604] 2. Terminal

[0605] The terminal is operated by the user, sends design information to the server, receives image data from the server, and sends it to the projection device. It also sends user feedback to the server.

[0606] 3. Server

[0607] The server has multiple roles.

[0608] Using generative artificial intelligence, an interior design is generated based on the design information received from the user.

[0609] The generated design is converted into video data and sent to the terminal.

[0610] Get feedback from users and revise your design based on it.

[0611] 4. Projection equipment

[0612] The projection device is hardware that projects video data received from a terminal onto the store's interior in real time, accurately aligning it with the walls and furniture before projecting the video data.

[0613] Program processing and specific examples

[0614] 1. User design input

[0615] Using a dedicated application, users input information such as the area they want to change the design for (for example, a store's display space), their preferred style, color, theme, etc. For example, if they want to change the design to "Modern," "Blue and White," or "Calm," they would enter the following:

[0616] Example prompt:

[0617] Please change the design to "Modern," "Blue and White," or "Calm."

[0618] 2. Collecting data and sending it to the server

[0619] The device sends the design information entered by the user to the server using software for sending HTTP POST requests (e.g., the requests library).

[0620] 3. Design Generation and Transformation

[0621] The server uses generative artificial intelligence (e.g., a deep learning model) to generate an interior design based on the received design information. This generative AI model creates a design that reflects the style, color, and theme specified by the user. The generated design is converted into video data and sent back to the device.

[0622] 4. Transmitting video data to the projection device

[0623] The terminal processes the video data received from the server for the projection device (for example, adjusts the format to match the resolution and screen size) and transmits it to the projection device.

[0624] 5. Spatial projection of virtual designs

[0625] The projection device projects the video data received from the terminal into the space in real time, making it possible to change the design of the space in a short time without making any physical changes.

[0626] Feedback and design revisions

[0627] Users can view the projected interior design in real time and provide feedback as needed. For example, they can enter specific requests, such as "I want a more vibrant color," using the app. The device sends this feedback to the server, which analyzes it and modifies the design using generative artificial intelligence. The modified design is then converted back into video data and sent via the device to the projection device, transforming it into the design desired by the user.

[0628] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0629] Step 1:

[0630] The user launches the smartphone app and inputs information such as the area, style, color, and theme for which they want to change the design. For example, they can input instructions such as "modern," "blue and white," and "calm." This information is then recorded as input data on the device.

[0631] Input: User design information (style, color, theme)

[0632] Output: Recorded input data

[0633] Step 2:

[0634] The terminal sends the design information input by the user to the server. Specifically, the terminal uses an HTTP POST request to send data including the design information to the server.

[0635] Input: Recorded input data

[0636] Output: Data sent to the server

[0637] Step 3:

[0638] The server then uses a generative AI to generate a design based on the received design information. The generative AI model creates a design based on the style, color, and theme specified by the user and converts it into image data. For example, a deep learning model can be used to generate a color scheme and furniture arrangement that matches the specified theme, "Calm."

[0639] Input: Submitted design information

[0640] Output: Generated design image data

[0641] Step 4:

[0642] The server sends the generated design image data to the terminal using an HTTP response.

[0643] Input: Generated design image data

[0644] Output: Data sent to the terminal

[0645] Step 5:

[0646] The terminal reprocesses the design image data received from the server into a format suitable for the projection device. Specifically, it converts the data to match the resolution and screen size, making it easier to send to the projection device.

[0647] Input: Design image data received from the server

[0648] Output: Reprocessed video data

[0649] Step 6:

[0650] The terminal transmits the reprocessed image data to the projection device, specifically, by transmitting the data to the projection device through an interface.

[0651] Input: Reprocessed video data

[0652] Output: Data sent to the projection device

[0653] Step 7:

[0654] The projection device projects the received image data onto the actual store space in real time, accurately aligning it with the walls and furniture during projection.

[0655] Input: Data to be sent to the projection device

[0656] Output: Design projected into space

[0657] Step 8:

[0658] Users can view the projected design and provide feedback as needed, for example by entering specific requests into the app, such as "I'd like it to be a brighter blue."

[0659] Input: User feedback on the projected design

[0660] Output: Feedback information

[0661] Step 9:

[0662] The terminal transmits the user's feedback information to the server.

[0663] Input: Feedback information

[0664] Output: Data sent to the server

[0665] Step 10:

[0666] The server analyzes the user's feedback, and the generative AI modifies the design, readjusting the color scheme and layout based on the feedback and generating new design image data.

[0667] Input: Feedback information submitted

[0668] Output: Modified design image data

[0669] Step 11:

[0670] The server transmits the corrected design image data to the terminal again.

[0671] Input: Modified design image data

[0672] Output: Data sent to the terminal

[0673] Step 12:

[0674] The terminal reprocesses and transmits the modified design image data received from the server to the projection device, which then re-projects the modified design.

[0675] Input: Modified design image data

[0676] Output: Modified design projected in space

[0677] 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.

[0678] This invention is an interior design modification system that combines an emotion engine that recognizes user emotions, and uses mixed reality (MR) technology and projection mapping to automatically generate designs based on the user's emotions and preferences, and project them into the space without making any physical changes. This system integrates generative artificial intelligence, which has the function of generating designs based on user input and past preference data, with an emotion engine that recognizes user emotions in real time.

[0679] User input and data collection

[0680] The user first launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). The system also incorporates an emotion engine that recognizes the user's emotions in real time by analyzing their facial expressions and tone of voice through a camera and microphone. The device then transmits the data entered by the user and the emotion data to the server.

[0681] Design generation and video data conversion

[0682] The server receives the user's input data and emotional data, and the artificial intelligence uses this data to analyze parameters for generating an interior design. The emotional data analyzed by the emotion engine is also taken into consideration when generating the design. For example, if the user is feeling stressed, a more relaxing color tone or theme will be selected. The generated interior design is converted into video data. The server then sends this video data to the device.

[0683] Transmission of video data to projection device

[0684] The terminal reprocesses the video data received from the server for the projection device, including converting the data into a format appropriate for the screen size and resolution of the projection device, and then transmits the processed data to the projection device.

[0685] Virtual design spatial projection

[0686] The device uses a projection device to project the generated image data into the user's space in real time. This projection requires precise alignment with walls and furniture, which the system automatically adjusts. The optimal design is projected into the user's living room based on the emotion recognized by the emotion engine. For example, when the user feels like relaxing, a calm, modern blue and white design is projected.

[0687] Feedback and design revisions

[0688] Users can review the projected interior design and provide feedback if necessary. For example, they can input specific requests such as "I'd like the color to be more vibrant." The device then sends this feedback to the server. The server analyzes the feedback and, together with emotional data, the artificial intelligence system modifies the design. The modified design is then converted back into video data and sent to the projection device via the device, transforming it into the design desired by the user.

[0689] Specific examples

[0690] For example, suppose a user wants to change their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a smartphone app. This data, along with emotional data obtained from the user's facial expressions and tone of voice, is sent to a server via the Internet. The emotion engine recognizes that the user is seeking relaxation, and based on this, the generative artificial intelligence designs a modern blue and white color palette. The generated design is converted into video data and sent to the device. The device then sends the video data to a projection mapping device, which projects the blue and white design onto the living room walls and furniture. If the user provides feedback such as "I want the colors to be more vibrant," the system can reflect this and modify the design, then project it again.

[0691] In this way, the present invention allows for quick and efficient changes to the interior design based on the user's emotions and preferences, allowing the user to freely enjoy a fresh space without having to physically change the interior.

[0692] The processing flow will be explained below.

[0693] Step 1:

[0694] The user launches a dedicated application and inputs the room they wish to change the interior design of (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm).

[0695] Step 2:

[0696] The device sends the user's input data to the server.

[0697] Step 3:

[0698] The device simultaneously collects the user's facial expressions and tone of voice through a camera and microphone to generate emotional data.

[0699] Step 4:

[0700] The device transmits the collected emotion data to a server.

[0701] Step 5:

[0702] The server receives the input data and emotion data from the user and starts data analysis.

[0703] Step 6:

[0704] The server launches the artificial intelligence (AI) to analyze parameters for generating interior designs based on the user's input data and emotional data. The emotional data is used to determine how the user is feeling (e.g., relaxed, stressed, etc.).

[0705] Step 7:

[0706] Based on the analysis results, the server uses generative AI to generate design elements (e.g., color combinations, furniture placement, etc.). Based on the emotional data, the design that best suits the user's emotions is selected.

[0707] Step 8:

[0708] The server converts the generated design into video data, which includes the process of converting the data into a format that can be projected by a projection device.

[0709] Step 9:

[0710] The server transmits the video data to the terminal.

[0711] Step 10:

[0712] The terminal receives the video data sent from the server and reprocesses it for the projection device.

[0713] Step 11:

[0714] The terminal transmits the reprocessed video data to the projection device.

[0715] Step 12:

[0716] The device activates the projection device and projects the generated image data into the user's space in real time, requiring precise alignment with walls and furniture, as well as color tones and themes that match the emotional atmosphere.

[0717] Step 13:

[0718] Users can view the projected interior design and provide feedback if necessary.

[0719] Step 14:

[0720] The device sends the user's feedback to the server.

[0721] Step 15:

[0722] The server analyzes the feedback, and the generative AI modifies the design based on the feedback.

[0723] Step 16:

[0724] The server converts the modified design back into video data.

[0725] Step 17:

[0726] The server transmits the corrected video data to the terminal.

[0727] Step 18:

[0728] The terminal receives the new image data sent from the server and reprocesses it for the projection device again.

[0729] Step 19:

[0730] The terminal transmits the reprocessed new image data to the projection device.

[0731] Step 20:

[0732] The terminal uses a projection device to project the modified design back into space.

[0733] Step 21:

[0734] The user reviews the interior design again and can provide further feedback if needed, or end the process if satisfied.

[0735] Examples:

[0736] For example, suppose a user wants to redesign their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a smartphone app. This data, along with emotional data obtained from the user's facial expressions and tone of voice, is sent to a server via the Internet. The emotion engine recognizes that the user is seeking relaxation, and based on this, the generative AI designs a modern blue and white color palette. The generated design is converted into video data and sent to the device. The device then sends the video data to a projection mapping device, which projects the blue and white design onto the living room walls and furniture. If the user provides feedback such as "I want the colors to be more vibrant," the system can reflect this and modify the design and project it again. In this way, the design can be changed to suit the user's emotions and preferences without making any physical changes to the interior.

[0737] Example 2

[0738] 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."

[0739] In today's world, changing or adjusting interior designs is time-consuming and costly, placing a significant burden on users. Furthermore, there are few systems that can change designs in real time based on users' emotions and preferences. As a result, users are seeking systems that allow them to easily and flexibly change interior designs, but current technology does not adequately address this demand. Furthermore, there is a lack of systems that can generate designs that take user emotional data into account, and efficient processes for incorporating feedback.

[0740] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input an interior design, a means for collecting the input data and emotional data, a means for a generation AI to generate a design based on the collected data, a means for converting the generated design into video data, a means for transmitting the video data to a projection device, and a means for projecting the video data into space in real time using the projection device. This allows the user to quickly and efficiently change the interior design based on the emotional data and preferences without making any physical changes.

[0741] "User" refers to an individual or organization who wishes to use this system to change the interior design.

[0742] "Interior design input means" refers to an interface that allows users to input information such as the style, color, theme, and location of their desired interior design.

[0743] "Emotional data" refers to data about a user's emotional state that is analyzed from the user's facial expressions and tone of voice captured through a camera or microphone.

[0744] "Means for collection" refers to devices or software for acquiring data and emotional data entered by users and storing or transmitting them within the system.

[0745] "Generative AI" refers to an AI technology that generates optimal interior designs based on user input data and emotional data.

[0746] "Means for generating designs" refers to processes and devices that analyze collected data and automatically generate interior designs.

[0747] "Means for converting into video data" refers to a process and device for converting the generated interior design into a format that can be projected by a projection device.

[0748] "Means for transmitting image data" refers to a process and device for transmitting the converted image data to a projection device.

[0749] "Projection device" refers to a device for projecting transmitted video data into physical space.

[0750] "Real-time projection means" refers to the process and apparatus for instantly projecting the generated design into the user's space.

[0751] This invention is an interior design modification system that combines an emotion engine that recognizes user emotions, and uses MR (Mixed Reality) technology and projection mapping to automatically generate designs based on the user's emotions and preferences, and project them into the space without making any physical changes. This system integrates generative artificial intelligence that generates designs based on user input and emotion data with an emotion engine that recognizes user emotions in real time.

[0752] First, the user launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). The system also incorporates an emotion engine that analyzes the user's facial expressions and tone of voice via a camera and microphone to collect emotional data. This input data and emotional data are then sent to the server by the device.

[0753] The server then activates a generative AI model based on the received user input and emotion data to generate an appropriate interior design. For example, the generative AI model receives a prompt such as: "Change the living room to a modern style with a blue and white color palette. The user is looking for relaxation." The generated design is converted into video data and sent from the server to the device.

[0754] The terminal reprocesses the received video data for the projection device, converting it into a format suitable for the projection device's screen size and resolution, and then transmits the video data to the projection device.

[0755] The device uses a projection device to project the generated interior design into the user's space in real time. This projection requires precise alignment with walls and furniture, and the system automatically adjusts this using cameras and sensors. For example, a blue and white design can be accurately projected onto the wall of a living room.

[0756] Users can review the projected interior design and provide feedback as needed. This feedback can include specific requests such as "I'd like the color to be more vibrant." This feedback is also sent to the server by the device, and the generative AI model again generates a design that takes the feedback into account. The revised design is converted back into video data and sent to the projection device via the device, where it is displayed in real time.

[0757] For example, suppose a user wants to change their living room to a "modern" style with a "blue and white" color scheme. The user enters this information using a smartphone app and turns on their camera and microphone. The emotion engine recognizes that the user wants to relax, and based on that, the generative AI model generates a modern blue and white design. The generated design is converted into video data and projected onto the living room wall via a projection device. If the user gives feedback such as "I want the colors to be more vibrant," the system can reflect that feedback, modify the design, and project it again. In this way, the present invention enables quick and efficient changes to interior design based on the user's emotions and preferences.

[0758] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0759] Step 1:

[0760] The user launches a dedicated application. They input information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). Their facial expressions and tone of voice are analyzed via a camera and microphone, and emotional data is collected. The user's input data and emotional data are sent to the device. The input data includes design requirements in text format and emotional data acquired in real time, and the output is a data package sent to the server.

[0761] Step 2:

[0762] The terminal transmits the input data and emotion data received from the user to the server. Specifically, the data package is transmitted to the server via the Internet. At this point, the data is shaped and formatted so that the input data and emotion data are accurately transmitted to the server. The input is the data package from the user, and the output is the formatted data to be transmitted to the server.

[0763] Step 3:

[0764] The server launches a generative AI model based on the received user input data and emotional data. The generative AI model generates an interior design by analyzing the prompt, "Change the living room to a modern style with a blue and white color palette. The user is looking for relaxation." The input data are the user's preferences and emotional data, and the output data is the generated interior design. Specific operations include running the AI ​​model and generating a design.

[0765] Step 4:

[0766] The server converts the generated interior design into video data. This process includes converting the interior design into a video format for projection mapping. For example, the design is converted into high-resolution video data (e.g., 1920x1080 pixels). The input is the generated design, and the output is video data suitable for a projection device. Specific operations include format conversion and data encoding.

[0767] Step 5:

[0768] The server transmits the converted video data to the terminal. The video data is transmitted via the Internet, and the terminal prepares to process the received data. The input is the converted video data, and the output is the video data transmitted to the terminal. A specific operation is a data transmission transaction.

[0769] Step 6:

[0770] The terminal reprocesses the received video data for the projection device. This reprocessing includes converting the data into a format suitable for the screen size and resolution of the projection device. The processed data is sent to the projection device. The input is the video data received from the server, and the output is the data reprocessed for the projection device. Specific operations include adjusting the resolution and converting the format.

[0771] Step 7:

[0772] The device uses a projection device to project the generated interior design into the user's space in real time. This projection requires precise alignment with walls and furniture, which the system automatically adjusts using cameras and sensors. For example, a blue and white design can be accurately projected onto the wall of a living room. The input is the reprocessed video data, and the output is the design projected into the space. Specific operations include controlling the projection device and aligning it in real time.

[0773] Step 8:

[0774] The user checks the projected interior design and provides feedback as needed. Feedback can include specific requests such as "I'd like to change it to a more vibrant color." The feedback data is also sent to the server by the device, and the generative AI model again generates a design that takes the feedback into account. The input is the user's feedback data, and the output is update request data that is sent to the server. Specific operations include obtaining feedback and sending data on the user interface.

[0775] (Application example 2)

[0776] 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."

[0777] Conventional interior design change systems were unable to adjust the design in real time to match the user's emotions or the atmosphere of the space. Furthermore, modifying the design based on feedback took time, making it difficult to provide the user with the ideal space. Furthermore, the system is required to recognize the user's emotions and provide the optimal design accordingly.

[0778] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for a user to input an interior design, a means for a generation AI to generate a design based on the input data and the user's emotion data, a means for converting the generated design into video data, a means for transmitting the video data to a projection device, a means for projecting the video data into space in real time using the projection device, and a means combining an emotion engine that recognizes the user's emotions. This makes it possible to provide an optimal interior design in real time according to the user's emotions.

[0779] "User" refers to an individual or organization that uses this system and is the entity that makes changes to the interior design and provides feedback.

[0780] "Interior design" refers to the visual layout, color, and style of a room or space, including the user's preferred style or theme.

[0781] "Input Data" means information provided by a user to the system, including interior design preferences and desired colors, styles, and themes.

[0782] "Generative AI" is an AI that has the technology to generate optimal interior designs based on input data and user emotional data.

[0783] "Video data" refers to data for visually expressing the interior design generated by the generation artificial intelligence, and is projected by a projection device.

[0784] A "projection device" is hardware for projecting video data into real space, and is a device that accurately aligns the image with walls, furniture, etc.

[0785] The "emotion engine" is an engine that has the technology to analyze the user's facial expressions and tone of voice through a camera and microphone, and recognize the user's emotions in real time.

[0786] "Feedback" refers to opinions and requests, including requests for corrections and improvements, provided by the user regarding the interior design generated by the system.

[0787] "Smartphones," "smart glasses," and "head-mounted displays" are devices that allow users to access systems and applications, and are used to collect emotional data and input design changes.

[0788] A "robot" is an autonomous machine that assists in collecting and projecting emotional data according to instructions generated by the system.

[0789] The present invention relates to an interior design modification system combined with an emotion engine that recognizes user emotions. The present invention will be described below with an application example of improving the shopping experience in a virtual store.

[0790] System Program

[0791] 1. User emotion recognition:

[0792] The device (such as smart glasses) uses a camera and microphone to collect the user's facial expressions and tone of voice.

[0793] The emotion engine analyzes this data and recognizes the user's emotions in real time.

[0794] 2. Generate the design:

[0795] The server receives user input data (style, color, theme, etc.) and emotion data.

[0796] A generative artificial intelligence (AI model) generates interior design parameters based on this data.

[0797] For example, if a user is feeling stressed, choose a design or color scheme that is relaxing.

[0798] 3. Video data conversion and transmission:

[0799] The server converts the generated design into video data.

[0800] The video data is sent to the terminal, which then reprocesses it for the projection device.

[0801] Specifically, the data is converted into a format suitable for the screen size and resolution of the projection device.

[0802] 4. Spatial projection of virtual design:

[0803] The terminal uses a projection device to project video data into space in real time.

[0804] The optimal design based on the user's emotions is projected into the store's virtual space.

[0805] 5. Feedback and design revisions:

[0806] Users review the projected designs and provide feedback.

[0807] Enter specific requests such as "I would like the color to be more vibrant."

[0808] The device sends this feedback to the server, which analyzes it.

[0809] The generative AI regenerates the design based on feedback and emotional data, and then converts the revised design back into video data and sends it to the device.

[0810] Hardware and Software

[0811] The hardware used may include smart glasses, a smartphone, a head-mounted display, or a robot.

[0812] The software includes an emotion engine for emotion recognition, generative artificial intelligence for design generation, and a projection device for processing video data.

[0813] Specific examples

[0814] For example, a user can access a virtual store using smart glasses. The user can communicate their desire to relax through a camera and microphone to the system. The emotion engine will detect the user's stress and generate a design based on a blue and white relaxation theme, allowing the user to have a more comfortable shopping experience in the virtual store.

[0815] Prompt Sentence Examples

[0816] text

[0817] The user is stressed, so please create a relaxing, modern design in blue and white. Specifically, a calm ocean theme.

[0818] In this way, the present invention allows for quick and efficient changes to the interior design based on the user's emotions and preferences, allowing the user to freely enjoy a fresh space without having to physically change the interior.

[0819] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0820] Step 1:

[0821] The user accesses the system by wearing a device such as smart glasses. The user inputs information about the interior design changes they wish to make (style, color, theme, etc.). The input data generated by this process is used in subsequent processing. The input data reflects the user's tastes and preferences.

[0822] Step 2:

[0823] The device uses a camera and microphone to collect the user's facial expressions and tone of voice in real time. The collected data is used as input data to recognize the user's emotional state. The emotion engine analyzes this data and recognizes the user's emotions in real time. The emotion data influences subsequent design generation.

[0824] Step 3:

[0825] The device sends the user's input data and emotional data to the server. The server receives this data and uses it as input data for design generation. The data becomes the basis for generating interior designs that reflect the user's preferences and emotional state.

[0826] Step 4:

[0827] The server uses a generative artificial intelligence (AI model) to generate interior design parameters based on the received user input data and emotional data. The generated parameters reflect the design according to the user's emotions. For example, if the user is looking for relaxation, a design based on blue and white will be selected.

[0828] Step 5:

[0829] The server converts the generated design parameters into video data and transmits it to the terminal. The video data is output in a format suitable for the projection device. The video data includes the specified style and color pattern.

[0830] Step 6:

[0831] The terminal reprocesses the received video data for the projection device, including converting it into a data format appropriate for the projection device's screen size and resolution. The adjusted video data is then sent to the projection device.

[0832] Step 7:

[0833] The device uses a projection device to project the generated design onto a physical space, such as a living room, in real time. The projection requires precise alignment, which the system automatically adjusts, allowing users to visually enjoy the virtual interior design in real time.

[0834] Step 8:

[0835] Users can check the projected design and provide specific feedback as needed, such as "I'd like the color to be more vibrant." Feedback is important for further improving user satisfaction.

[0836] Step 9:

[0837] The device sends the feedback received from the user to the server, which receives it and analyzes it as data for design revisions. The feedback data is reflected in subsequent design revisions.

[0838] Step 10:

[0839] The server uses generative AI to regenerate the design based on the received feedback and emotion data. The revised design is converted back into video data and sent back to the device. This updates the optimal design to reflect the user's wishes.

[0840] Through these steps, users can experience the optimal virtual space based on their emotions and preferences without having to make any physical changes to the interior.

[0841] 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.

[0842] 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.

[0843] 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.

[0844] [Third embodiment]

[0845] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0846] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0847] 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).

[0848] 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.

[0849] 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.

[0850] 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).

[0851] 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.

[0852] 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.

[0853] 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.

[0854] 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.

[0855] 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.

[0856] 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."

[0857] This invention is a system that allows users to easily change the interior design of a space, using mixed reality (MR) technology and projection mapping to automatically change the design of the space without making any physical changes. This system uses a generative artificial intelligence (AI) to generate designs based on user input, converts them into appropriate video data, and projects them into the space in real time using a projection device.

[0858] User input and data collection

[0859] The user first launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). The device then sends the data entered by the user to the server.

[0860] Design generation and video data conversion

[0861] The server receives the user's input data, and the generative AI generates an interior design based on that data. The generative AI generates design elements (e.g., color combinations and furniture placement) based on the style, color, and theme specified by the user. The generated design is converted into video data. The server then sends this video data to the terminal.

[0862] Transmission of video data to projection device

[0863] The terminal reprocesses the video data received from the server for the projection device, including converting the data into a format appropriate for the screen size and resolution of the projection device, and then transmits the processed data to the projection device.

[0864] Virtual design spatial projection

[0865] The device then uses a projection device to project the generated image data into the user's space in real time. This requires precise alignment with walls and furniture, which the system automatically adjusts to. A modern blue and white color palette is projected onto the user's living room, instantly transforming the look of the interior.

[0866] Feedback and design revisions

[0867] Users can review the projected interior design and provide feedback if necessary. For example, they can input specific requests, such as "I'd like the color to be more vibrant." The device then sends this feedback to the server, which analyzes the feedback and uses the generative AI to modify the design. The modified design is then converted back into video data and sent to the projection device via the device, resulting in the design desired by the user.

[0868] Specific examples

[0869] For example, suppose a user wants to change the color scheme of their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a smartphone app. The data is sent to a server via the internet. The AI ​​on the server generates a modern blue and white design, converts it into video data, and sends it to the device. The device then sends the video data to a projection mapping device, which projects the blue and white design onto the living room walls and furniture. If the user gives feedback that they would like the color scheme to be "a darker blue," the system can reflect this and modify the design and project it again.

[0870] In this way, the present invention allows for quick and efficient changes to interior design, allowing users to freely change the design of a space to suit their preferences or the occasion, without having to physically change the interior.

[0871] The processing flow will be explained below.

[0872] Step 1:

[0873] The user launches a dedicated application and inputs the room they wish to change the interior design of (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm).

[0874] Step 2:

[0875] The device sends the user's input data to the server.

[0876] Step 3:

[0877] The server receives the input data from the user and starts analyzing the data.

[0878] Step 4:

[0879] The server launches the generative artificial intelligence and analyzes the parameters for generating the interior design based on the user's input data.

[0880] Step 5:

[0881] Based on the server's analysis results, a generative artificial intelligence generates design elements (e.g., color combinations, furniture placement, etc.).

[0882] Step 6:

[0883] The server converts the generated design into video data.

[0884] Step 7:

[0885] The server transmits the video data to the terminal.

[0886] Step 8:

[0887] The terminal receives the video data sent from the server and reprocesses it for the projection device, which includes converting the data into a format appropriate for the projection device's screen size and resolution.

[0888] Step 9:

[0889] The terminal transmits the reprocessed video data to the projection device.

[0890] Step 10:

[0891] The terminal activates the projection device, which projects the generated video data onto the physical space in real time.

[0892] Step 11:

[0893] Users can view the projected interior design and provide feedback if necessary.

[0894] Step 12:

[0895] The device sends the user's feedback to the server.

[0896] Step 13:

[0897] The server analyzes the feedback, and the generative AI modifies the design based on the feedback.

[0898] Step 14:

[0899] The server converts the modified design back into video data.

[0900] Step 15:

[0901] The server transmits the corrected video data to the terminal.

[0902] Step 16:

[0903] The terminal receives the new image data sent from the server and reprocesses it for the projection device again.

[0904] Step 17:

[0905] The terminal transmits the reprocessed new image data to the projection device.

[0906] Step 18:

[0907] The terminal uses a projection device to project the modified design back into space.

[0908] Step 19:

[0909] The user reviews the interior design again and can provide further feedback if needed, or end the process if satisfied.

[0910] Example 1

[0911] 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."

[0912] Traditionally, changing interior designs has been difficult because it requires physical work, a lot of time, and is costly. It's also difficult to check the design beforehand, which can lead to dissatisfaction after changes are made. Another issue is that it's not easy to quickly revise the design to reflect user feedback.

[0913] 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.

[0914] In this invention, the server includes a means for a user to input an interior design, a means for transmitting the input data to the server, a means for the server to generate a design based on the input data using artificial intelligence, a means for converting the generated design into video data, a means for the terminal to receive the video data and reprocess it for use in a projection device, and a means for projecting the video data transmitted to the projection device into space in real time. This allows for quick and efficient changes to the interior design without making physical changes. Furthermore, user feedback can be quickly reflected, allowing for real-time revisions to the virtual design.

[0915] "User" refers to the entity that uses the system to change the interior design.

[0916] The "server" is a central processing unit that receives the user's design requirements, generates a design using generative artificial intelligence, and converts it into video data.

[0917] A "terminal" is a device through which a user inputs a design, communicates with a server, and transmits image data to a projection device.

[0918] "Interior design" is the planning of the decoration of the interior of a building, including the layout, colors, and theme of the interior.

[0919] "Generative AI" is an AI model that generates interior designs based on user input data.

[0920] "Video data" refers to digital data for visually projecting the generated interior design.

[0921] A "projection device" is a device for projecting video data into physical space in real time.

[0922] "Feedback" refers to the opinions and requests users provide regarding the projected interior design.

[0923] "Reprocessing" refers to the process in which the terminal converts the video data received from the server into a format suitable for the projection device.

[0924] This invention is a system that allows users to easily change the interior design of a space, using mixed reality (MR) technology and projection mapping to automatically change the design of the space without making any physical changes. This system uses a generative artificial intelligence (AI) to generate designs based on user input, converts them into appropriate video data, and projects them into the space in real time using a projection device.

[0925] The user first launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). This information is entered by the user via a smartphone or tablet, and then sent to a server via the Internet.

[0926] The server generates an interior design using the algorithm of a generative AI model (e.g., a general generative AI model) based on the received user data. This AI model generates design elements (e.g., color combinations and furniture placement) based on the style, color, and theme specified by the user. The generated design data cannot be used as is, so it is converted into video data by the server. This video data is then converted into image or video formats (e.g., JPEG, MP4) and sent to the device.

[0927] The terminal reprocesses the received video data for the projection device. This processing includes converting the data into a format appropriate for the screen size and resolution of the projection device being used (e.g., a general-purpose projector). It also adds alignment data for projection mapping.

[0928] The reprocessed video data is then sent via the terminal to a projection device. The terminal then controls the projection device, projecting the video data into the user's space in real time. For example, a modern blue and white design could be projected onto the wall of a living room, instantly transforming the interior. The system automatically aligns the image precisely with the walls and furniture.

[0929] Users can check the projected interior design and provide feedback as needed. For example, they can input specific requests into the application, such as "I want the color to be more vibrant." The feedback is sent back to the server from the device, where it is analyzed and the generative AI modifies the design. The modified design is then converted back into video data and sent to the projection device via the device, resulting in the design being changed to the user's desired one.

[0930] Specific examples

[0931] For example, suppose a user wants to change the style of their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a dedicated application. The input data is sent to a server via the Internet. The AI ​​on the server generates a modern blue and white design based on the specified style, converts it into video data, and sends it to the device. The device then sends the video data to a projection device, which projects the blue and white design onto the living room walls and furniture. If the user provides feedback such as "I want a darker blue," the system can reflect this and modify the design, then project it again. An example is also shown in which a user inputs the following prompt sentence into the generation AI: "Please design my living room in a modern style with blue and white colors."

[0932] In this way, the present invention allows for quick and efficient changes to interior design, allowing users to freely change the design of a space to suit their preferences or the occasion, without having to physically change the interior.

[0933] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0934] System program processing steps

[0935] Step 1: User Input and Data Collection

[0936] Users launch a dedicated smartphone application and enter information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm).

[0937] Input: Room type, style, color, theme

[0938] Output: Data entered into the application

[0939] The terminal receives the data entered by the user and transmits it to a server over the Internet.

[0940] Input: User-entered design requirement data

[0941] Data processing: converting data into a format that can be sent

[0942] Output: Data sent to the server

[0943] Step 2: Design generation and video data conversion

[0944] The server runs a generative AI model based on the user's input data to generate an interior design.

[0945] Input: Design requirements data sent from the terminal

[0946] Data calculation: Generate designs using generative AI models, creating design elements (color combinations, furniture placement, etc.) that fit the style, color, and theme specified by the user.

[0947] Output: Generated design data

[0948] The server converts the generated design into video data.

[0949] Input: Generated design data

[0950] Data processing: Convert design data into image or video format (e.g., JPEG, MP4)

[0951] Output: Video data

[0952] The server transmits this video data to the terminal.

[0953] Input: Converted video data

[0954] Data processing: Encoding data into a transmittable format

[0955] Output: Video data sent to the device

[0956] Step 3: Sending video data to the projection device

[0957] The terminal reprocesses the video data received from the server for use by the projection device.

[0958] Input: Video data sent from the server

[0959] Data processing: Conversion into a format suitable for the screen size and resolution of the projection device (e.g., adjusting the resolution, adding alignment data)

[0960] Output: Reprocessed video data

[0961] The terminal transmits the reprocessed data to the projection device.

[0962] Input: Reprocessed video data

[0963] Data processing: Encoding data into a transmittable format

[0964] Output: Data sent to the projection device

[0965] Step 4: Spatial projection of the virtual design

[0966] The terminal controls the projection device and projects the generated image data into the user's space in real time.

[0967] Input: Video data sent to the projection device

[0968] Specific operation: Adjust the position of the projection device, calibrate it against walls and furniture, and project the image data.

[0969] Output: The space where the user-specified design is projected

[0970] Step 5: Feedback and design revisions

[0971] Users can view the projected interior design and provide feedback if necessary (e.g., "I'd like to change it to a more vibrant color").

[0972] Input: Feedback content

[0973] Output: Feedback entered into the application

[0974] The terminal sends this feedback to the server.

[0975] Input: User-entered feedback

[0976] Data processing: converting data into a format that can be sent

[0977] Output: Feedback sent to the server

[0978] The server analyzes the feedback and modifies the design using a generative AI model.

[0979] Input: Feedback sent from the device

[0980] Data computation: Generative AI models generate new designs based on feedback

[0981] Output: Modified design data

[0982] The server converts the modified design back into video data and transmits it to the projection device via the terminal.

[0983] Input: Modified design data

[0984] Data processing: Convert design data into image or video format

[0985] Output: Reconverted video data

[0986] The terminal sends this image data back to the projection device, where it is changed to the design desired by the user.

[0987] Input: Reconverted video data

[0988] Data processing: Reprocessing into a format suitable for projection equipment

[0989] Output: The space where the modified design is projected

[0990] In this way, user feedback can be quickly incorporated and modifications to the virtual design can be made in real time.

[0991] (Application example 1)

[0992] 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."

[0993] In modern brick-and-mortar stores, it is important to be able to quickly and effectively change the spatial design for events and promotions. However, changing the physical decoration is time-consuming, costly, and inefficient, especially when the design needs to be changed frequently. Furthermore, the work involved in changing the design can impact sales. Therefore, there is a need for a system that can instantly change the spatial design while minimizing physical effort.

[0994] 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.

[0995] In this invention, the server includes a means for a user to input an interior design, a means for a generating AI to generate a design based on the input data, a means for converting the generated design into video data, and a means for dynamically changing the space design for events or promotions in the store, which makes it possible to change the space design in a short time without making any physical changes.

[0996] "User" is the entity that uses the system to provide input and feedback on interior design.

[0997] "Interior design" is the combination of design elements such as decoration, color, and layout applied to a particular space.

[0998] "Input" is the act of the user providing information to the system, such as desired style, color, theme, etc.

[0999] "Generative AI" is an AI technology that generates appropriate designs based on user input data.

[1000] "Image data" refers to digital data used by a projection device to project the generated design in real time.

[1001] A "projection device" is hardware for projecting video data into space.

[1002] "Projecting into space" refers to using video data to display a visual design on the walls or furniture of an actual physical space.

[1003] "Feedback" refers to input from users regarding evaluations and requests for improvements to the system.

[1004] "Revising" is the act of readjusting the generated design based on user feedback.

[1005] A "brick and mortar store" is a commercial or service establishment that exists in a physical location.

[1006] "Dynamic change" means that the design and settings can be adjusted in real time depending on the situation and conditions.

[1007] The present invention relates to a system for dynamically changing the spatial design of a physical store. Specific embodiments for carrying out the present invention will be described below.

[1008] System configuration

[1009] 1. Users

[1010] Users are store managers and designers, and are the ones who provide input and feedback on interior design. Users use devices such as smartphones and tablets.

[1011] 2. Terminal

[1012] The terminal is operated by the user, sends design information to the server, receives image data from the server, and sends it to the projection device. It also sends user feedback to the server.

[1013] 3. Server

[1014] The server has multiple roles.

[1015] Using generative artificial intelligence, an interior design is generated based on the design information received from the user.

[1016] The generated design is converted into video data and sent to the terminal.

[1017] Get feedback from users and revise your design based on it.

[1018] 4. Projection equipment

[1019] The projection device is hardware that projects video data received from a terminal onto the store's interior in real time, accurately aligning it with the walls and furniture before projecting the video data.

[1020] Program processing and specific examples

[1021] 1. User design input

[1022] Using a dedicated application, users input information such as the area they want to change the design for (for example, a store's display space), their preferred style, color, theme, etc. For example, if they want to change the design to "Modern," "Blue and White," or "Calm," they would enter the following:

[1023] Example prompt:

[1024] Please change the design to "Modern," "Blue and White," or "Calm."

[1025] 2. Collecting data and sending it to the server

[1026] The device sends the design information entered by the user to the server using software for sending HTTP POST requests (e.g., the requests library).

[1027] 3. Design Generation and Transformation

[1028] The server uses generative artificial intelligence (e.g., a deep learning model) to generate an interior design based on the received design information. This generative AI model creates a design that reflects the style, color, and theme specified by the user. The generated design is converted into video data and sent back to the device.

[1029] 4. Transmitting video data to the projection device

[1030] The terminal processes the video data received from the server for the projection device (for example, adjusts the format to match the resolution and screen size) and transmits it to the projection device.

[1031] 5. Spatial projection of virtual designs

[1032] The projection device projects the video data received from the terminal into the space in real time, making it possible to change the design of the space in a short time without making any physical changes.

[1033] Feedback and design revisions

[1034] Users can view the projected interior design in real time and provide feedback as needed. For example, they can enter specific requests, such as "I want a more vibrant color," using the app. The device sends this feedback to the server, which analyzes it and modifies the design using generative artificial intelligence. The modified design is then converted back into video data and sent via the device to the projection device, transforming it into the design desired by the user.

[1035] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1036] Step 1:

[1037] The user launches the smartphone app and inputs information such as the area, style, color, and theme for which they want to change the design. For example, they can input instructions such as "modern," "blue and white," and "calm." This information is then recorded as input data on the device.

[1038] Input: User design information (style, color, theme)

[1039] Output: Recorded input data

[1040] Step 2:

[1041] The terminal sends the design information input by the user to the server. Specifically, the terminal uses an HTTP POST request to send data including the design information to the server.

[1042] Input: Recorded input data

[1043] Output: Data sent to the server

[1044] Step 3:

[1045] The server then uses a generative AI to generate a design based on the received design information. The generative AI model creates a design based on the style, color, and theme specified by the user and converts it into image data. For example, a deep learning model can be used to generate a color scheme and furniture arrangement that matches the specified theme, "Calm."

[1046] Input: Submitted design information

[1047] Output: Generated design image data

[1048] Step 4:

[1049] The server sends the generated design image data to the terminal using an HTTP response.

[1050] Input: Generated design image data

[1051] Output: Data sent to the terminal

[1052] Step 5:

[1053] The terminal reprocesses the design image data received from the server into a format suitable for the projection device. Specifically, it converts the data to match the resolution and screen size, making it easier to send to the projection device.

[1054] Input: Design image data received from the server

[1055] Output: Reprocessed video data

[1056] Step 6:

[1057] The terminal transmits the reprocessed image data to the projection device, specifically, by transmitting the data to the projection device through an interface.

[1058] Input: Reprocessed video data

[1059] Output: Data sent to the projection device

[1060] Step 7:

[1061] The projection device projects the received image data onto the actual store space in real time, accurately aligning it with the walls and furniture during projection.

[1062] Input: Data to be sent to the projection device

[1063] Output: Design projected into space

[1064] Step 8:

[1065] Users can view the projected design and provide feedback as needed, for example by entering specific requests into the app, such as "I'd like it to be a brighter blue."

[1066] Input: User feedback on the projected design

[1067] Output: Feedback information

[1068] Step 9:

[1069] The terminal transmits the user's feedback information to the server.

[1070] Input: Feedback information

[1071] Output: Data sent to the server

[1072] Step 10:

[1073] The server analyzes the user's feedback, and the generative AI modifies the design, readjusting the color scheme and layout based on the feedback and generating new design image data.

[1074] Input: Feedback information submitted

[1075] Output: Modified design image data

[1076] Step 11:

[1077] The server transmits the corrected design image data to the terminal again.

[1078] Input: Modified design image data

[1079] Output: Data sent to the terminal

[1080] Step 12:

[1081] The terminal reprocesses and transmits the modified design image data received from the server to the projection device, which then re-projects the modified design.

[1082] Input: Modified design image data

[1083] Output: Modified design projected in space

[1084] 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.

[1085] This invention is an interior design modification system that combines an emotion engine that recognizes user emotions, and uses mixed reality (MR) technology and projection mapping to automatically generate designs based on the user's emotions and preferences, and project them into the space without making any physical changes. This system integrates generative artificial intelligence, which has the function of generating designs based on user input and past preference data, with an emotion engine that recognizes user emotions in real time.

[1086] User input and data collection

[1087] The user first launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). The system also incorporates an emotion engine that recognizes the user's emotions in real time by analyzing their facial expressions and tone of voice through a camera and microphone. The device then transmits the data entered by the user and the emotion data to the server.

[1088] Design generation and video data conversion

[1089] The server receives the user's input data and emotional data, and the artificial intelligence uses this data to analyze parameters for generating an interior design. The emotional data analyzed by the emotion engine is also taken into consideration when generating the design. For example, if the user is feeling stressed, a more relaxing color tone or theme will be selected. The generated interior design is converted into video data. The server then sends this video data to the device.

[1090] Transmission of video data to projection device

[1091] The terminal reprocesses the video data received from the server for the projection device, including converting the data into a format appropriate for the screen size and resolution of the projection device, and then transmits the processed data to the projection device.

[1092] Virtual design spatial projection

[1093] The device uses a projection device to project the generated image data into the user's space in real time. This projection requires precise alignment with walls and furniture, which the system automatically adjusts. The optimal design is projected into the user's living room based on the emotion recognized by the emotion engine. For example, when the user feels like relaxing, a calm, modern blue and white design is projected.

[1094] Feedback and design revisions

[1095] Users can review the projected interior design and provide feedback if necessary. For example, they can input specific requests such as "I'd like the color to be more vibrant." The device then sends this feedback to the server. The server analyzes the feedback and, together with emotional data, the artificial intelligence system modifies the design. The modified design is then converted back into video data and sent to the projection device via the device, transforming it into the design desired by the user.

[1096] Specific examples

[1097] For example, suppose a user wants to change their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a smartphone app. This data, along with emotional data obtained from the user's facial expressions and tone of voice, is sent to a server via the Internet. The emotion engine recognizes that the user is seeking relaxation, and based on this, the generative artificial intelligence designs a modern blue and white color palette. The generated design is converted into video data and sent to the device. The device then sends the video data to a projection mapping device, which projects the blue and white design onto the living room walls and furniture. If the user provides feedback such as "I want the colors to be more vibrant," the system can reflect this and modify the design, then project it again.

[1098] In this way, the present invention allows for quick and efficient changes to the interior design based on the user's emotions and preferences, allowing the user to freely enjoy a fresh space without having to physically change the interior.

[1099] The processing flow will be explained below.

[1100] Step 1:

[1101] The user launches a dedicated application and inputs the room they wish to change the interior design of (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm).

[1102] Step 2:

[1103] The device sends the user's input data to the server.

[1104] Step 3:

[1105] The device simultaneously collects the user's facial expressions and tone of voice through a camera and microphone to generate emotional data.

[1106] Step 4:

[1107] The device transmits the collected emotion data to a server.

[1108] Step 5:

[1109] The server receives the input data and emotion data from the user and starts data analysis.

[1110] Step 6:

[1111] The server launches the artificial intelligence (AI) to analyze parameters for generating interior designs based on the user's input data and emotional data. The emotional data is used to determine how the user is feeling (e.g., relaxed, stressed, etc.).

[1112] Step 7:

[1113] Based on the analysis results, the server uses generative AI to generate design elements (e.g., color combinations, furniture placement, etc.). Based on the emotional data, the design that best suits the user's emotions is selected.

[1114] Step 8:

[1115] The server converts the generated design into video data, which includes the process of converting the data into a format that can be projected by a projection device.

[1116] Step 9:

[1117] The server transmits the video data to the terminal.

[1118] Step 10:

[1119] The terminal receives the video data sent from the server and reprocesses it for the projection device.

[1120] Step 11:

[1121] The terminal transmits the reprocessed video data to the projection device.

[1122] Step 12:

[1123] The device activates the projection device and projects the generated image data into the user's space in real time, requiring precise alignment with walls and furniture, as well as color tones and themes that match the emotional atmosphere.

[1124] Step 13:

[1125] Users can view the projected interior design and provide feedback if necessary.

[1126] Step 14:

[1127] The device sends the user's feedback to the server.

[1128] Step 15:

[1129] The server analyzes the feedback, and the generative AI modifies the design based on the feedback.

[1130] Step 16:

[1131] The server converts the modified design back into video data.

[1132] Step 17:

[1133] The server transmits the corrected video data to the terminal.

[1134] Step 18:

[1135] The terminal receives the new image data sent from the server and reprocesses it for the projection device again.

[1136] Step 19:

[1137] The terminal transmits the reprocessed new image data to the projection device.

[1138] Step 20:

[1139] The terminal uses a projection device to project the modified design back into space.

[1140] Step 21:

[1141] The user reviews the interior design again and can provide further feedback if needed, or end the process if satisfied.

[1142] Examples:

[1143] For example, suppose a user wants to redesign their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a smartphone app. This data, along with emotional data obtained from the user's facial expressions and tone of voice, is sent to a server via the Internet. The emotion engine recognizes that the user is seeking relaxation, and based on this, the generative AI designs a modern blue and white color palette. The generated design is converted into video data and sent to the device. The device then sends the video data to a projection mapping device, which projects the blue and white design onto the living room walls and furniture. If the user provides feedback such as "I want the colors to be more vibrant," the system can reflect this and modify the design and project it again. In this way, the design can be changed to suit the user's emotions and preferences without making any physical changes to the interior.

[1144] Example 2

[1145] 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."

[1146] In today's world, changing or adjusting interior designs is time-consuming and costly, placing a significant burden on users. Furthermore, there are few systems that can change designs in real time based on users' emotions and preferences. As a result, users are seeking systems that allow them to easily and flexibly change interior designs, but current technology does not adequately address this demand. Furthermore, there is a lack of systems that can generate designs that take user emotional data into account, and efficient processes for incorporating feedback.

[1147] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input an interior design, a means for collecting the input data and emotional data, a means for a generation AI to generate a design based on the collected data, a means for converting the generated design into video data, a means for transmitting the video data to a projection device, and a means for projecting the video data into space in real time using the projection device. This allows the user to quickly and efficiently change the interior design based on the emotional data and preferences without making any physical changes.

[1148] "User" refers to an individual or organization who wishes to use this system to change the interior design.

[1149] "Interior design input means" refers to an interface that allows users to input information such as the style, color, theme, and location of their desired interior design.

[1150] "Emotional data" refers to data about a user's emotional state that is analyzed from the user's facial expressions and tone of voice captured through a camera or microphone.

[1151] "Means for collection" refers to devices or software for acquiring data and emotional data entered by users and storing or transmitting them within the system.

[1152] "Generative AI" refers to an AI technology that generates optimal interior designs based on user input data and emotional data.

[1153] "Means for generating designs" refers to processes and devices that analyze collected data and automatically generate interior designs.

[1154] "Means for converting into video data" refers to a process and device for converting the generated interior design into a format that can be projected by a projection device.

[1155] "Means for transmitting image data" refers to a process and device for transmitting the converted image data to a projection device.

[1156] "Projection device" refers to a device for projecting transmitted video data into physical space.

[1157] "Real-time projection means" refers to the process and apparatus for instantly projecting the generated design into the user's space.

[1158] This invention is an interior design modification system that combines an emotion engine that recognizes user emotions, and uses MR (Mixed Reality) technology and projection mapping to automatically generate designs based on the user's emotions and preferences, and project them into the space without making any physical changes. This system integrates generative artificial intelligence that generates designs based on user input and emotion data with an emotion engine that recognizes user emotions in real time.

[1159] First, the user launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). The system also incorporates an emotion engine that analyzes the user's facial expressions and tone of voice via a camera and microphone to collect emotional data. This input data and emotional data are then sent to the server by the device.

[1160] The server then activates a generative AI model based on the received user input and emotion data to generate an appropriate interior design. For example, the generative AI model receives a prompt such as: "Change the living room to a modern style with a blue and white color palette. The user is looking for relaxation." The generated design is converted into video data and sent from the server to the device.

[1161] The terminal reprocesses the received video data for the projection device, converting it into a format suitable for the projection device's screen size and resolution, and then transmits the video data to the projection device.

[1162] The device uses a projection device to project the generated interior design into the user's space in real time. This projection requires precise alignment with walls and furniture, and the system automatically adjusts this using cameras and sensors. For example, a blue and white design can be accurately projected onto the wall of a living room.

[1163] Users can review the projected interior design and provide feedback as needed. This feedback can include specific requests such as "I'd like the color to be more vibrant." This feedback is also sent to the server by the device, and the generative AI model again generates a design that takes the feedback into account. The revised design is converted back into video data and sent to the projection device via the device, where it is displayed in real time.

[1164] For example, suppose a user wants to change their living room to a "modern" style with a "blue and white" color scheme. The user enters this information using a smartphone app and turns on their camera and microphone. The emotion engine recognizes that the user wants to relax, and based on that, the generative AI model generates a modern blue and white design. The generated design is converted into video data and projected onto the living room wall via a projection device. If the user gives feedback such as "I want the colors to be more vibrant," the system can reflect that feedback, modify the design, and project it again. In this way, the present invention enables quick and efficient changes to interior design based on the user's emotions and preferences.

[1165] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1166] Step 1:

[1167] The user launches a dedicated application. They input information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). Their facial expressions and tone of voice are analyzed via a camera and microphone, and emotional data is collected. The user's input data and emotional data are sent to the device. The input data includes design requirements in text format and emotional data acquired in real time, and the output is a data package sent to the server.

[1168] Step 2:

[1169] The terminal transmits the input data and emotion data received from the user to the server. Specifically, the data package is transmitted to the server via the Internet. At this point, the data is shaped and formatted so that the input data and emotion data are accurately transmitted to the server. The input is the data package from the user, and the output is the formatted data to be transmitted to the server.

[1170] Step 3:

[1171] The server launches a generative AI model based on the received user input data and emotional data. The generative AI model generates an interior design by analyzing the prompt, "Change the living room to a modern style with a blue and white color palette. The user is looking for relaxation." The input data are the user's preferences and emotional data, and the output data is the generated interior design. Specific operations include running the AI ​​model and generating a design.

[1172] Step 4:

[1173] The server converts the generated interior design into video data. This process includes converting the interior design into a video format for projection mapping. For example, the design is converted into high-resolution video data (e.g., 1920x1080 pixels). The input is the generated design, and the output is video data suitable for a projection device. Specific operations include format conversion and data encoding.

[1174] Step 5:

[1175] The server transmits the converted video data to the terminal. The video data is transmitted via the Internet, and the terminal prepares to process the received data. The input is the converted video data, and the output is the video data transmitted to the terminal. A specific operation is a data transmission transaction.

[1176] Step 6:

[1177] The terminal reprocesses the received video data for the projection device. This reprocessing includes converting the data into a format suitable for the screen size and resolution of the projection device. The processed data is sent to the projection device. The input is the video data received from the server, and the output is the data reprocessed for the projection device. Specific operations include adjusting the resolution and converting the format.

[1178] Step 7:

[1179] The device uses a projection device to project the generated interior design into the user's space in real time. This projection requires precise alignment with walls and furniture, which the system automatically adjusts using cameras and sensors. For example, a blue and white design can be accurately projected onto the wall of a living room. The input is the reprocessed video data, and the output is the design projected into the space. Specific operations include controlling the projection device and aligning it in real time.

[1180] Step 8:

[1181] The user checks the projected interior design and provides feedback as needed. Feedback can include specific requests such as "I'd like to change it to a more vibrant color." The feedback data is also sent to the server by the device, and the generative AI model again generates a design that takes the feedback into account. The input is the user's feedback data, and the output is update request data that is sent to the server. Specific operations include obtaining feedback and sending data on the user interface.

[1182] (Application example 2)

[1183] 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."

[1184] Conventional interior design change systems were unable to adjust the design in real time to match the user's emotions or the atmosphere of the space. Furthermore, modifying the design based on feedback took time, making it difficult to provide the user with the ideal space. Furthermore, the system is required to recognize the user's emotions and provide the optimal design accordingly.

[1185] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for a user to input an interior design, a means for a generation AI to generate a design based on the input data and the user's emotion data, a means for converting the generated design into video data, a means for transmitting the video data to a projection device, a means for projecting the video data into space in real time using the projection device, and a means combining an emotion engine that recognizes the user's emotions. This makes it possible to provide an optimal interior design in real time according to the user's emotions.

[1186] "User" refers to an individual or organization that uses this system and is the entity that makes changes to the interior design and provides feedback.

[1187] "Interior design" refers to the visual layout, color, and style of a room or space, including the user's preferred style or theme.

[1188] "Input Data" means information provided by a user to the system, including interior design preferences and desired colors, styles, and themes.

[1189] "Generative AI" is an AI that has the technology to generate optimal interior designs based on input data and user emotional data.

[1190] "Video data" refers to data for visually expressing the interior design generated by the generation artificial intelligence, and is projected by a projection device.

[1191] A "projection device" is hardware for projecting video data into real space, and is a device that accurately aligns the image with walls, furniture, etc.

[1192] The "emotion engine" is an engine that has the technology to analyze the user's facial expressions and tone of voice through a camera and microphone, and recognize the user's emotions in real time.

[1193] "Feedback" refers to opinions and requests, including requests for corrections and improvements, provided by the user regarding the interior design generated by the system.

[1194] "Smartphones," "smart glasses," and "head-mounted displays" are devices that allow users to access systems and applications, and are used to collect emotional data and input design changes.

[1195] A "robot" is an autonomous machine that assists in collecting and projecting emotional data according to instructions generated by the system.

[1196] The present invention relates to an interior design modification system combined with an emotion engine that recognizes user emotions. The present invention will be described below with an application example of improving the shopping experience in a virtual store.

[1197] System Program

[1198] 1. User emotion recognition:

[1199] The device (such as smart glasses) uses a camera and microphone to collect the user's facial expressions and tone of voice.

[1200] The emotion engine analyzes this data and recognizes the user's emotions in real time.

[1201] 2. Generate the design:

[1202] The server receives user input data (style, color, theme, etc.) and emotion data.

[1203] A generative artificial intelligence (AI model) generates interior design parameters based on this data.

[1204] For example, if a user is feeling stressed, choose a design or color scheme that is relaxing.

[1205] 3. Video data conversion and transmission:

[1206] The server converts the generated design into video data.

[1207] The video data is sent to the terminal, which then reprocesses it for the projection device.

[1208] Specifically, the data is converted into a format suitable for the screen size and resolution of the projection device.

[1209] 4. Spatial projection of virtual design:

[1210] The terminal uses a projection device to project video data into space in real time.

[1211] The optimal design based on the user's emotions is projected into the store's virtual space.

[1212] 5. Feedback and design revisions:

[1213] Users review the projected designs and provide feedback.

[1214] Enter specific requests such as "I would like the color to be more vibrant."

[1215] The device sends this feedback to the server, which analyzes it.

[1216] The generative AI regenerates the design based on feedback and emotional data, and then converts the revised design back into video data and sends it to the device.

[1217] Hardware and Software

[1218] The hardware used may include smart glasses, a smartphone, a head-mounted display, or a robot.

[1219] The software includes an emotion engine for emotion recognition, generative artificial intelligence for design generation, and a projection device for processing video data.

[1220] Specific examples

[1221] For example, a user can access a virtual store using smart glasses. The user can communicate their desire to relax through a camera and microphone to the system. The emotion engine will detect the user's stress and generate a design based on a blue and white relaxation theme, allowing the user to have a more comfortable shopping experience in the virtual store.

[1222] Prompt Sentence Examples

[1223] text

[1224] The user is stressed, so please create a relaxing, modern design in blue and white. Specifically, a calm ocean theme.

[1225] In this way, the present invention allows for quick and efficient changes to the interior design based on the user's emotions and preferences, allowing the user to freely enjoy a fresh space without having to physically change the interior.

[1226] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1227] Step 1:

[1228] The user accesses the system by wearing a device such as smart glasses. The user inputs information about the interior design changes they wish to make (style, color, theme, etc.). The input data generated by this process is used in subsequent processing. The input data reflects the user's tastes and preferences.

[1229] Step 2:

[1230] The device uses a camera and microphone to collect the user's facial expressions and tone of voice in real time. The collected data is used as input data to recognize the user's emotional state. The emotion engine analyzes this data and recognizes the user's emotions in real time. The emotion data influences subsequent design generation.

[1231] Step 3:

[1232] The device sends the user's input data and emotional data to the server. The server receives this data and uses it as input data for design generation. The data becomes the basis for generating interior designs that reflect the user's preferences and emotional state.

[1233] Step 4:

[1234] The server uses a generative artificial intelligence (AI model) to generate interior design parameters based on the received user input data and emotional data. The generated parameters reflect the design according to the user's emotions. For example, if the user is looking for relaxation, a design based on blue and white will be selected.

[1235] Step 5:

[1236] The server converts the generated design parameters into video data and transmits it to the terminal. The video data is output in a format suitable for the projection device. The video data includes the specified style and color pattern.

[1237] Step 6:

[1238] The terminal reprocesses the received video data for the projection device, including converting it into a data format appropriate for the projection device's screen size and resolution. The adjusted video data is then sent to the projection device.

[1239] Step 7:

[1240] The device uses a projection device to project the generated design onto a physical space, such as a living room, in real time. The projection requires precise alignment, which the system automatically adjusts, allowing users to visually enjoy the virtual interior design in real time.

[1241] Step 8:

[1242] Users can check the projected design and provide specific feedback as needed, such as "I'd like the color to be more vibrant." Feedback is important for further improving user satisfaction.

[1243] Step 9:

[1244] The device sends the feedback received from the user to the server, which receives it and analyzes it as data for design revisions. The feedback data is reflected in subsequent design revisions.

[1245] Step 10:

[1246] The server uses generative AI to regenerate the design based on the received feedback and emotion data. The revised design is converted back into video data and sent back to the device. This updates the optimal design to reflect the user's wishes.

[1247] Through these steps, users can experience the optimal virtual space based on their emotions and preferences without having to make any physical changes to the interior.

[1248] 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.

[1249] 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.

[1250] 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.

[1251] [Fourth embodiment]

[1252] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1253] 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.

[1254] 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).

[1255] 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.

[1256] 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.

[1257] 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).

[1258] 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.

[1259] 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.

[1260] 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.

[1261] 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.

[1262] 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.

[1263] 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.

[1264] 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."

[1265] This invention is a system that allows users to easily change the interior design of a space, using mixed reality (MR) technology and projection mapping to automatically change the design of the space without making any physical changes. This system uses a generative artificial intelligence (AI) to generate designs based on user input, converts them into appropriate video data, and projects them into the space in real time using a projection device.

[1266] User input and data collection

[1267] The user first launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). The device then sends the data entered by the user to the server.

[1268] Design generation and video data conversion

[1269] The server receives the user's input data, and the generative AI generates an interior design based on that data. The generative AI generates design elements (e.g., color combinations and furniture placement) based on the style, color, and theme specified by the user. The generated design is converted into video data. The server then sends this video data to the terminal.

[1270] Transmission of video data to projection device

[1271] The terminal reprocesses the video data received from the server for the projection device, including converting the data into a format appropriate for the screen size and resolution of the projection device, and then transmits the processed data to the projection device.

[1272] Virtual design spatial projection

[1273] The device then uses a projection device to project the generated image data into the user's space in real time. This requires precise alignment with walls and furniture, which the system automatically adjusts to. A modern blue and white color palette is projected onto the user's living room, instantly transforming the look of the interior.

[1274] Feedback and design revisions

[1275] Users can review the projected interior design and provide feedback if necessary. For example, they can input specific requests, such as "I'd like the color to be more vibrant." The device then sends this feedback to the server, which analyzes the feedback and uses the generative AI to modify the design. The modified design is then converted back into video data and sent to the projection device via the device, resulting in the design desired by the user.

[1276] Specific examples

[1277] For example, suppose a user wants to change the color scheme of their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a smartphone app. The data is sent to a server via the internet. The AI ​​on the server generates a modern blue and white design, converts it into video data, and sends it to the device. The device then sends the video data to a projection mapping device, which projects the blue and white design onto the living room walls and furniture. If the user gives feedback that they would like the color scheme to be "a darker blue," the system can reflect this and modify the design and project it again.

[1278] In this way, the present invention allows for quick and efficient changes to interior design, allowing users to freely change the design of a space to suit their preferences or the occasion, without having to physically change the interior.

[1279] The processing flow will be explained below.

[1280] Step 1:

[1281] The user launches a dedicated application and inputs the room they wish to change the interior design of (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm).

[1282] Step 2:

[1283] The device sends the user's input data to the server.

[1284] Step 3:

[1285] The server receives the input data from the user and starts analyzing the data.

[1286] Step 4:

[1287] The server launches the generative artificial intelligence and analyzes the parameters for generating the interior design based on the user's input data.

[1288] Step 5:

[1289] Based on the server's analysis results, a generative artificial intelligence generates design elements (e.g., color combinations, furniture placement, etc.).

[1290] Step 6:

[1291] The server converts the generated design into video data.

[1292] Step 7:

[1293] The server transmits the video data to the terminal.

[1294] Step 8:

[1295] The terminal receives the video data sent from the server and reprocesses it for the projection device, which includes converting the data into a format appropriate for the projection device's screen size and resolution.

[1296] Step 9:

[1297] The terminal transmits the reprocessed video data to the projection device.

[1298] Step 10:

[1299] The terminal activates the projection device, which projects the generated video data onto the physical space in real time.

[1300] Step 11:

[1301] Users can view the projected interior design and provide feedback if necessary.

[1302] Step 12:

[1303] The device sends the user's feedback to the server.

[1304] Step 13:

[1305] The server analyzes the feedback, and the generative AI modifies the design based on the feedback.

[1306] Step 14:

[1307] The server converts the modified design back into video data.

[1308] Step 15:

[1309] The server transmits the corrected video data to the terminal.

[1310] Step 16:

[1311] The terminal receives the new image data sent from the server and reprocesses it for the projection device again.

[1312] Step 17:

[1313] The terminal transmits the reprocessed new image data to the projection device.

[1314] Step 18:

[1315] The terminal uses a projection device to project the modified design back into space.

[1316] Step 19:

[1317] The user reviews the interior design again and can provide further feedback if needed, or end the process if satisfied.

[1318] Example 1

[1319] 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."

[1320] Traditionally, changing interior designs has been difficult because it requires physical work, a lot of time, and is costly. It's also difficult to check the design beforehand, which can lead to dissatisfaction after changes are made. Another issue is that it's not easy to quickly revise the design to reflect user feedback.

[1321] 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.

[1322] In this invention, the server includes a means for a user to input an interior design, a means for transmitting the input data to the server, a means for the server to generate a design based on the input data using artificial intelligence, a means for converting the generated design into video data, a means for the terminal to receive the video data and reprocess it for use in a projection device, and a means for projecting the video data transmitted to the projection device into space in real time. This allows for quick and efficient changes to the interior design without making physical changes. Furthermore, user feedback can be quickly reflected, allowing for real-time revisions to the virtual design.

[1323] "User" refers to the entity that uses the system to change the interior design.

[1324] The "server" is a central processing unit that receives the user's design requirements, generates a design using generative artificial intelligence, and converts it into video data.

[1325] A "terminal" is a device through which a user inputs a design, communicates with a server, and transmits image data to a projection device.

[1326] "Interior design" is the planning of the decoration of the interior of a building, including the layout, colors, and theme of the interior.

[1327] "Generative AI" is an AI model that generates interior designs based on user input data.

[1328] "Video data" refers to digital data for visually projecting the generated interior design.

[1329] A "projection device" is a device for projecting video data into physical space in real time.

[1330] "Feedback" refers to the opinions and requests users provide regarding the projected interior design.

[1331] "Reprocessing" refers to the process in which the terminal converts the video data received from the server into a format suitable for the projection device.

[1332] This invention is a system that allows users to easily change the interior design of a space, using mixed reality (MR) technology and projection mapping to automatically change the design of the space without making any physical changes. This system uses a generative artificial intelligence (AI) to generate designs based on user input, converts them into appropriate video data, and projects them into the space in real time using a projection device.

[1333] The user first launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). This information is entered by the user via a smartphone or tablet, and then sent to a server via the Internet.

[1334] The server generates an interior design using the algorithm of a generative AI model (e.g., a general generative AI model) based on the received user data. This AI model generates design elements (e.g., color combinations and furniture placement) based on the style, color, and theme specified by the user. The generated design data cannot be used as is, so it is converted into video data by the server. This video data is then converted into image or video formats (e.g., JPEG, MP4) and sent to the device.

[1335] The terminal reprocesses the received video data for the projection device. This processing includes converting the data into a format appropriate for the screen size and resolution of the projection device being used (e.g., a general-purpose projector). It also adds alignment data for projection mapping.

[1336] The reprocessed video data is then sent via the terminal to a projection device. The terminal then controls the projection device, projecting the video data into the user's space in real time. For example, a modern blue and white design could be projected onto the wall of a living room, instantly transforming the interior. The system automatically aligns the image precisely with the walls and furniture.

[1337] Users can check the projected interior design and provide feedback as needed. For example, they can input specific requests into the application, such as "I want the color to be more vibrant." The feedback is sent back to the server from the device, where it is analyzed and the generative AI modifies the design. The modified design is then converted back into video data and sent to the projection device via the device, resulting in the design being changed to the user's desired one.

[1338] Specific examples

[1339] For example, suppose a user wants to change the style of their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a dedicated application. The input data is sent to a server via the Internet. The AI ​​on the server generates a modern blue and white design based on the specified style, converts it into video data, and sends it to the device. The device then sends the video data to a projection device, which projects the blue and white design onto the living room walls and furniture. If the user provides feedback such as "I want a darker blue," the system can reflect this and modify the design, then project it again. An example is also shown in which a user inputs the following prompt sentence into the generation AI: "Please design my living room in a modern style with blue and white colors."

[1340] In this way, the present invention allows for quick and efficient changes to interior design, allowing users to freely change the design of a space to suit their preferences or the occasion, without having to physically change the interior.

[1341] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1342] System program processing steps

[1343] Step 1: User Input and Data Collection

[1344] Users launch a dedicated smartphone application and enter information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm).

[1345] Input: Room type, style, color, theme

[1346] Output: Data entered into the application

[1347] The terminal receives the data entered by the user and transmits it to a server over the Internet.

[1348] Input: User-entered design requirement data

[1349] Data processing: converting data into a format that can be sent

[1350] Output: Data sent to the server

[1351] Step 2: Design generation and video data conversion

[1352] The server runs a generative AI model based on the user's input data to generate an interior design.

[1353] Input: Design requirements data sent from the terminal

[1354] Data calculation: Generate designs using generative AI models, creating design elements (color combinations, furniture placement, etc.) that fit the style, color, and theme specified by the user.

[1355] Output: Generated design data

[1356] The server converts the generated design into video data.

[1357] Input: Generated design data

[1358] Data processing: Convert design data into image or video format (e.g., JPEG, MP4)

[1359] Output: Video data

[1360] The server transmits this video data to the terminal.

[1361] Input: Converted video data

[1362] Data processing: Encoding data into a transmittable format

[1363] Output: Video data sent to the device

[1364] Step 3: Sending video data to the projection device

[1365] The terminal reprocesses the video data received from the server for use by the projection device.

[1366] Input: Video data sent from the server

[1367] Data processing: Conversion into a format suitable for the screen size and resolution of the projection device (e.g., adjusting the resolution, adding alignment data)

[1368] Output: Reprocessed video data

[1369] The terminal transmits the reprocessed data to the projection device.

[1370] Input: Reprocessed video data

[1371] Data processing: Encoding data into a transmittable format

[1372] Output: Data sent to the projection device

[1373] Step 4: Spatial projection of the virtual design

[1374] The terminal controls the projection device and projects the generated image data into the user's space in real time.

[1375] Input: Video data sent to the projection device

[1376] Specific operation: Adjust the position of the projection device, calibrate it against walls and furniture, and project the image data.

[1377] Output: The space where the user-specified design is projected

[1378] Step 5: Feedback and design revisions

[1379] Users can view the projected interior design and provide feedback if necessary (e.g., "I'd like to change it to a more vibrant color").

[1380] Input: Feedback content

[1381] Output: Feedback entered into the application

[1382] The terminal sends this feedback to the server.

[1383] Input: User-entered feedback

[1384] Data processing: converting data into a format that can be sent

[1385] Output: Feedback sent to the server

[1386] The server analyzes the feedback and modifies the design using a generative AI model.

[1387] Input: Feedback sent from the device

[1388] Data computation: Generative AI models generate new designs based on feedback

[1389] Output: Modified design data

[1390] The server converts the modified design back into video data and transmits it to the projection device via the terminal.

[1391] Input: Modified design data

[1392] Data processing: Convert design data into image or video format

[1393] Output: Reconverted video data

[1394] The terminal sends this image data back to the projection device, where it is changed to the design desired by the user.

[1395] Input: Reconverted video data

[1396] Data processing: Reprocessing into a format suitable for projection equipment

[1397] Output: The space where the modified design is projected

[1398] In this way, user feedback can be quickly incorporated and modifications to the virtual design can be made in real time.

[1399] (Application example 1)

[1400] 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."

[1401] In modern brick-and-mortar stores, it is important to be able to quickly and effectively change the spatial design for events and promotions. However, changing the physical decoration is time-consuming, costly, and inefficient, especially when the design needs to be changed frequently. Furthermore, the work involved in changing the design can impact sales. Therefore, there is a need for a system that can instantly change the spatial design while minimizing physical effort.

[1402] 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.

[1403] In this invention, the server includes a means for a user to input an interior design, a means for a generating AI to generate a design based on the input data, a means for converting the generated design into video data, and a means for dynamically changing the space design for events or promotions in the store, which makes it possible to change the space design in a short time without making any physical changes.

[1404] "User" is the entity that uses the system to provide input and feedback on interior design.

[1405] "Interior design" is the combination of design elements such as decoration, color, and layout applied to a particular space.

[1406] "Input" is the act of the user providing information to the system, such as desired style, color, theme, etc.

[1407] "Generative AI" is an AI technology that generates appropriate designs based on user input data.

[1408] "Image data" refers to digital data used by a projection device to project the generated design in real time.

[1409] A "projection device" is hardware for projecting video data into space.

[1410] "Projecting into space" refers to using video data to display a visual design on the walls or furniture of an actual physical space.

[1411] "Feedback" refers to input from users regarding evaluations and requests for improvements to the system.

[1412] "Revising" is the act of readjusting the generated design based on user feedback.

[1413] A "brick and mortar store" is a commercial or service establishment that exists in a physical location.

[1414] "Dynamic change" means that the design and settings can be adjusted in real time depending on the situation and conditions.

[1415] The present invention relates to a system for dynamically changing the spatial design of a physical store. Specific embodiments for carrying out the present invention will be described below.

[1416] System configuration

[1417] 1. Users

[1418] Users are store managers and designers, and are the ones who provide input and feedback on interior design. Users use devices such as smartphones and tablets.

[1419] 2. Terminal

[1420] The terminal is operated by the user, sends design information to the server, receives image data from the server, and sends it to the projection device. It also sends user feedback to the server.

[1421] 3. Server

[1422] The server has multiple roles.

[1423] Using generative artificial intelligence, an interior design is generated based on the design information received from the user.

[1424] The generated design is converted into video data and sent to the terminal.

[1425] Get feedback from users and revise your design based on it.

[1426] 4. Projection equipment

[1427] The projection device is hardware that projects video data received from a terminal onto the store's interior in real time, accurately aligning it with the walls and furniture before projecting the video data.

[1428] Program processing and specific examples

[1429] 1. User design input

[1430] Using a dedicated application, users input information such as the area they want to change the design for (for example, a store's display space), their preferred style, color, theme, etc. For example, if they want to change the design to "Modern," "Blue and White," or "Calm," they would enter the following:

[1431] Example prompt:

[1432] Please change the design to "Modern," "Blue and White," or "Calm."

[1433] 2. Collecting data and sending it to the server

[1434] The device sends the design information entered by the user to the server using software for sending HTTP POST requests (e.g., the requests library).

[1435] 3. Design Generation and Transformation

[1436] The server uses generative artificial intelligence (e.g., a deep learning model) to generate an interior design based on the received design information. This generative AI model creates a design that reflects the style, color, and theme specified by the user. The generated design is converted into video data and sent back to the device.

[1437] 4. Transmitting video data to the projection device

[1438] The terminal processes the video data received from the server for the projection device (for example, adjusts the format to match the resolution and screen size) and transmits it to the projection device.

[1439] 5. Spatial projection of virtual designs

[1440] The projection device projects the video data received from the terminal into the space in real time, making it possible to change the design of the space in a short time without making any physical changes.

[1441] Feedback and design revisions

[1442] Users can view the projected interior design in real time and provide feedback as needed. For example, they can enter specific requests, such as "I want a more vibrant color," using the app. The device sends this feedback to the server, which analyzes it and modifies the design using generative artificial intelligence. The modified design is then converted back into video data and sent via the device to the projection device, transforming it into the design desired by the user.

[1443] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1444] Step 1:

[1445] The user launches the smartphone app and inputs information such as the area, style, color, and theme for which they want to change the design. For example, they can input instructions such as "modern," "blue and white," and "calm." This information is then recorded as input data on the device.

[1446] Input: User design information (style, color, theme)

[1447] Output: Recorded input data

[1448] Step 2:

[1449] The terminal sends the design information input by the user to the server. Specifically, the terminal uses an HTTP POST request to send data including the design information to the server.

[1450] Input: Recorded input data

[1451] Output: Data sent to the server

[1452] Step 3:

[1453] The server then uses a generative AI to generate a design based on the received design information. The generative AI model creates a design based on the style, color, and theme specified by the user and converts it into image data. For example, a deep learning model can be used to generate a color scheme and furniture arrangement that matches the specified theme, "Calm."

[1454] Input: Submitted design information

[1455] Output: Generated design image data

[1456] Step 4:

[1457] The server sends the generated design image data to the terminal using an HTTP response.

[1458] Input: Generated design image data

[1459] Output: Data sent to the terminal

[1460] Step 5:

[1461] The terminal reprocesses the design image data received from the server into a format suitable for the projection device. Specifically, it converts the data to match the resolution and screen size, making it easier to send to the projection device.

[1462] Input: Design image data received from the server

[1463] Output: Reprocessed video data

[1464] Step 6:

[1465] The terminal transmits the reprocessed image data to the projection device, specifically, by transmitting the data to the projection device through an interface.

[1466] Input: Reprocessed video data

[1467] Output: Data sent to the projection device

[1468] Step 7:

[1469] The projection device projects the received image data onto the actual store space in real time, accurately aligning it with the walls and furniture during projection.

[1470] Input: Data to be sent to the projection device

[1471] Output: Design projected into space

[1472] Step 8:

[1473] Users can view the projected design and provide feedback as needed, for example by entering specific requests into the app, such as "I'd like it to be a brighter blue."

[1474] Input: User feedback on the projected design

[1475] Output: Feedback information

[1476] Step 9:

[1477] The terminal transmits the user's feedback information to the server.

[1478] Input: Feedback information

[1479] Output: Data sent to the server

[1480] Step 10:

[1481] The server analyzes the user's feedback, and the generative AI modifies the design, readjusting the color scheme and layout based on the feedback and generating new design image data.

[1482] Input: Feedback information submitted

[1483] Output: Modified design image data

[1484] Step 11:

[1485] The server transmits the corrected design image data to the terminal again.

[1486] Input: Modified design image data

[1487] Output: Data sent to the terminal

[1488] Step 12:

[1489] The terminal reprocesses and transmits the modified design image data received from the server to the projection device, which then re-projects the modified design.

[1490] Input: Modified design image data

[1491] Output: Modified design projected in space

[1492] 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.

[1493] This invention is an interior design modification system that combines an emotion engine that recognizes user emotions, and uses mixed reality (MR) technology and projection mapping to automatically generate designs based on the user's emotions and preferences, and project them into the space without making any physical changes. This system integrates generative artificial intelligence, which has the function of generating designs based on user input and past preference data, with an emotion engine that recognizes user emotions in real time.

[1494] User input and data collection

[1495] The user first launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). The system also incorporates an emotion engine that recognizes the user's emotions in real time by analyzing their facial expressions and tone of voice through a camera and microphone. The device then transmits the data entered by the user and the emotion data to the server.

[1496] Design generation and video data conversion

[1497] The server receives the user's input data and emotional data, and the artificial intelligence uses this data to analyze parameters for generating an interior design. The emotional data analyzed by the emotion engine is also taken into consideration when generating the design. For example, if the user is feeling stressed, a more relaxing color tone or theme will be selected. The generated interior design is converted into video data. The server then sends this video data to the device.

[1498] Transmission of video data to projection device

[1499] The terminal reprocesses the video data received from the server for the projection device, including converting the data into a format appropriate for the screen size and resolution of the projection device, and then transmits the processed data to the projection device.

[1500] Virtual design spatial projection

[1501] The device uses a projection device to project the generated image data into the user's space in real time. This projection requires precise alignment with walls and furniture, which the system automatically adjusts. The optimal design is projected into the user's living room based on the emotion recognized by the emotion engine. For example, when the user feels like relaxing, a calm, modern blue and white design is projected.

[1502] Feedback and design revisions

[1503] Users can review the projected interior design and provide feedback if necessary. For example, they can input specific requests such as "I'd like the color to be more vibrant." The device then sends this feedback to the server. The server analyzes the feedback and, together with emotional data, the artificial intelligence system modifies the design. The modified design is then converted back into video data and sent to the projection device via the device, transforming it into the design desired by the user.

[1504] Specific examples

[1505] For example, suppose a user wants to change their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a smartphone app. This data, along with emotional data obtained from the user's facial expressions and tone of voice, is sent to a server via the Internet. The emotion engine recognizes that the user is seeking relaxation, and based on this, the generative artificial intelligence designs a modern blue and white color palette. The generated design is converted into video data and sent to the device. The device then sends the video data to a projection mapping device, which projects the blue and white design onto the living room walls and furniture. If the user provides feedback such as "I want the colors to be more vibrant," the system can reflect this and modify the design, then project it again.

[1506] In this way, the present invention allows for quick and efficient changes to the interior design based on the user's emotions and preferences, allowing the user to freely enjoy a fresh space without having to physically change the interior.

[1507] The processing flow will be explained below.

[1508] Step 1:

[1509] The user launches a dedicated application and inputs the room they wish to change the interior design of (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm).

[1510] Step 2:

[1511] The device sends the user's input data to the server.

[1512] Step 3:

[1513] The device simultaneously collects the user's facial expressions and tone of voice through a camera and microphone to generate emotional data.

[1514] Step 4:

[1515] The device transmits the collected emotion data to a server.

[1516] Step 5:

[1517] The server receives the input data and emotion data from the user and starts data analysis.

[1518] Step 6:

[1519] The server launches the artificial intelligence (AI) to analyze parameters for generating interior designs based on the user's input data and emotional data. The emotional data is used to determine how the user is feeling (e.g., relaxed, stressed, etc.).

[1520] Step 7:

[1521] Based on the analysis results, the server uses generative AI to generate design elements (e.g., color combinations, furniture placement, etc.). Based on the emotional data, the design that best suits the user's emotions is selected.

[1522] Step 8:

[1523] The server converts the generated design into video data, which includes the process of converting the data into a format that can be projected by a projection device.

[1524] Step 9:

[1525] The server transmits the video data to the terminal.

[1526] Step 10:

[1527] The terminal receives the video data sent from the server and reprocesses it for the projection device.

[1528] Step 11:

[1529] The terminal transmits the reprocessed video data to the projection device.

[1530] Step 12:

[1531] The device activates the projection device and projects the generated image data into the user's space in real time, requiring precise alignment with walls and furniture, as well as color tones and themes that match the emotional atmosphere.

[1532] Step 13:

[1533] Users can view the projected interior design and provide feedback if necessary.

[1534] Step 14:

[1535] The device sends the user's feedback to the server.

[1536] Step 15:

[1537] The server analyzes the feedback, and the generative AI modifies the design based on the feedback.

[1538] Step 16:

[1539] The server converts the modified design back into video data.

[1540] Step 17:

[1541] The server transmits the corrected video data to the terminal.

[1542] Step 18:

[1543] The terminal receives the new image data sent from the server and reprocesses it for the projection device again.

[1544] Step 19:

[1545] The terminal transmits the reprocessed new image data to the projection device.

[1546] Step 20:

[1547] The terminal uses a projection device to project the modified design back into space.

[1548] Step 21:

[1549] The user reviews the interior design again and can provide further feedback if needed, or end the process if satisfied.

[1550] Examples:

[1551] For example, suppose a user wants to redesign their living room to a "modern" style with a "blue and white" color scheme. The user inputs this information using a smartphone app. This data, along with emotional data obtained from the user's facial expressions and tone of voice, is sent to a server via the Internet. The emotion engine recognizes that the user is seeking relaxation, and based on this, the generative AI designs a modern blue and white color palette. The generated design is converted into video data and sent to the device. The device then sends the video data to a projection mapping device, which projects the blue and white design onto the living room walls and furniture. If the user provides feedback such as "I want the colors to be more vibrant," the system can reflect this and modify the design and project it again. In this way, the design can be changed to suit the user's emotions and preferences without making any physical changes to the interior.

[1552] Example 2

[1553] 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."

[1554] In today's world, changing or adjusting interior designs is time-consuming and costly, placing a significant burden on users. Furthermore, there are few systems that can change designs in real time based on users' emotions and preferences. As a result, users are seeking systems that allow them to easily and flexibly change interior designs, but current technology does not adequately address this demand. Furthermore, there is a lack of systems that can generate designs that take user emotional data into account, and efficient processes for incorporating feedback.

[1555] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for a user to input an interior design, a means for collecting the input data and emotional data, a means for a generation AI to generate a design based on the collected data, a means for converting the generated design into video data, a means for transmitting the video data to a projection device, and a means for projecting the video data into space in real time using the projection device. This allows the user to quickly and efficiently change the interior design based on the emotional data and preferences without making any physical changes.

[1556] "User" refers to an individual or organization who wishes to use this system to change the interior design.

[1557] "Interior design input means" refers to an interface that allows users to input information such as the style, color, theme, and location of their desired interior design.

[1558] "Emotional data" refers to data about a user's emotional state that is analyzed from the user's facial expressions and tone of voice captured through a camera or microphone.

[1559] "Means for collection" refers to devices or software for acquiring data and emotional data entered by users and storing or transmitting them within the system.

[1560] "Generative AI" refers to an AI technology that generates optimal interior designs based on user input data and emotional data.

[1561] "Means for generating designs" refers to processes and devices that analyze collected data and automatically generate interior designs.

[1562] "Means for converting into video data" refers to a process and device for converting the generated interior design into a format that can be projected by a projection device.

[1563] "Means for transmitting image data" refers to a process and device for transmitting the converted image data to a projection device.

[1564] "Projection device" refers to a device for projecting transmitted video data into physical space.

[1565] "Real-time projection means" refers to the process and apparatus for instantly projecting the generated design into the user's space.

[1566] This invention is an interior design modification system that combines an emotion engine that recognizes user emotions, and uses MR (Mixed Reality) technology and projection mapping to automatically generate designs based on the user's emotions and preferences, and project them into the space without making any physical changes. This system integrates generative artificial intelligence that generates designs based on user input and emotion data with an emotion engine that recognizes user emotions in real time.

[1567] First, the user launches a dedicated application and inputs information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). The system also incorporates an emotion engine that analyzes the user's facial expressions and tone of voice via a camera and microphone to collect emotional data. This input data and emotional data are then sent to the server by the device.

[1568] The server then activates a generative AI model based on the received user input and emotion data to generate an appropriate interior design. For example, the generative AI model receives a prompt such as: "Change the living room to a modern style with a blue and white color palette. The user is looking for relaxation." The generated design is converted into video data and sent from the server to the device.

[1569] The terminal reprocesses the received video data for the projection device, converting it into a format suitable for the projection device's screen size and resolution, and then transmits the video data to the projection device.

[1570] The device uses a projection device to project the generated interior design into the user's space in real time. This projection requires precise alignment with walls and furniture, and the system automatically adjusts this using cameras and sensors. For example, a blue and white design can be accurately projected onto the wall of a living room.

[1571] Users can review the projected interior design and provide feedback as needed. This feedback can include specific requests such as "I'd like the color to be more vibrant." This feedback is also sent to the server by the device, and the generative AI model again generates a design that takes the feedback into account. The revised design is converted back into video data and sent to the projection device via the device, where it is displayed in real time.

[1572] For example, suppose a user wants to change their living room to a "modern" style with a "blue and white" color scheme. The user enters this information using a smartphone app and turns on their camera and microphone. The emotion engine recognizes that the user wants to relax, and based on that, the generative AI model generates a modern blue and white design. The generated design is converted into video data and projected onto the living room wall via a projection device. If the user gives feedback such as "I want the colors to be more vibrant," the system can reflect that feedback, modify the design, and project it again. In this way, the present invention enables quick and efficient changes to interior design based on the user's emotions and preferences.

[1573] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1574] Step 1:

[1575] The user launches a dedicated application. They input information such as the room they want to redesign (e.g., living room), their preferred style (e.g., modern), color (e.g., blue and white), and theme (e.g., calm). Their facial expressions and tone of voice are analyzed via a camera and microphone, and emotional data is collected. The user's input data and emotional data are sent to the device. The input data includes design requirements in text format and emotional data acquired in real time, and the output is a data package sent to the server.

[1576] Step 2:

[1577] The terminal transmits the input data and emotion data received from the user to the server. Specifically, the data package is transmitted to the server via the Internet. At this point, the data is shaped and formatted so that the input data and emotion data are accurately transmitted to the server. The input is the data package from the user, and the output is the formatted data to be transmitted to the server.

[1578] Step 3:

[1579] The server launches a generative AI model based on the received user input data and emotional data. The generative AI model generates an interior design by analyzing the prompt, "Change the living room to a modern style with a blue and white color palette. The user is looking for relaxation." The input data are the user's preferences and emotional data, and the output data is the generated interior design. Specific operations include running the AI ​​model and generating a design.

[1580] Step 4:

[1581] The server converts the generated interior design into video data. This process includes converting the interior design into a video format for projection mapping. For example, the design is converted into high-resolution video data (e.g., 1920x1080 pixels). The input is the generated design, and the output is video data suitable for a projection device. Specific operations include format conversion and data encoding.

[1582] Step 5:

[1583] The server transmits the converted video data to the terminal. The video data is transmitted via the Internet, and the terminal prepares to process the received data. The input is the converted video data, and the output is the video data transmitted to the terminal. A specific operation is a data transmission transaction.

[1584] Step 6:

[1585] The terminal reprocesses the received video data for the projection device. This reprocessing includes converting the data into a format suitable for the screen size and resolution of the projection device. The processed data is sent to the projection device. The input is the video data received from the server, and the output is the data reprocessed for the projection device. Specific operations include adjusting the resolution and converting the format.

[1586] Step 7:

[1587] The device uses a projection device to project the generated interior design into the user's space in real time. This projection requires precise alignment with walls and furniture, which the system automatically adjusts using cameras and sensors. For example, a blue and white design can be accurately projected onto the wall of a living room. The input is the reprocessed video data, and the output is the design projected into the space. Specific operations include controlling the projection device and aligning it in real time.

[1588] Step 8:

[1589] The user checks the projected interior design and provides feedback as needed. Feedback can include specific requests such as "I'd like to change it to a more vibrant color." The feedback data is also sent to the server by the device, and the generative AI model again generates a design that takes the feedback into account. The input is the user's feedback data, and the output is update request data that is sent to the server. Specific operations include obtaining feedback and sending data on the user interface.

[1590] (Application example 2)

[1591] 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."

[1592] Conventional interior design change systems were unable to adjust the design in real time to match the user's emotions or the atmosphere of the space. Furthermore, modifying the design based on feedback took time, making it difficult to provide the user with the ideal space. Furthermore, the system is required to recognize the user's emotions and provide the optimal design accordingly.

[1593] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a means for a user to input an interior design, a means for a generation AI to generate a design based on the input data and the user's emotion data, a means for converting the generated design into video data, a means for transmitting the video data to a projection device, a means for projecting the video data into space in real time using the projection device, and a means combining an emotion engine that recognizes the user's emotions. This makes it possible to provide an optimal interior design in real time according to the user's emotions.

[1594] "User" refers to an individual or organization that uses this system and is the entity that makes changes to the interior design and provides feedback.

[1595] "Interior design" refers to the visual layout, color, and style of a room or space, including the user's preferred style or theme.

[1596] "Input Data" means information provided by a user to the system, including interior design preferences and desired colors, styles, and themes.

[1597] "Generative AI" is an AI that has the technology to generate optimal interior designs based on input data and user emotional data.

[1598] "Video data" refers to data for visually expressing the interior design generated by the generation artificial intelligence, and is projected by a projection device.

[1599] A "projection device" is hardware for projecting video data into real space, and is a device that accurately aligns the image with walls, furniture, etc.

[1600] The "emotion engine" is an engine that has the technology to analyze the user's facial expressions and tone of voice through a camera and microphone, and recognize the user's emotions in real time.

[1601] "Feedback" refers to opinions and requests, including requests for corrections and improvements, provided by the user regarding the interior design generated by the system.

[1602] "Smartphones," "smart glasses," and "head-mounted displays" are devices that allow users to access systems and applications, and are used to collect emotional data and input design changes.

[1603] A "robot" is an autonomous machine that assists in collecting and projecting emotional data according to instructions generated by the system.

[1604] The present invention relates to an interior design modification system combined with an emotion engine that recognizes user emotions. The present invention will be described below with an application example of improving the shopping experience in a virtual store.

[1605] System Program

[1606] 1. User emotion recognition:

[1607] The device (such as smart glasses) uses a camera and microphone to collect the user's facial expressions and tone of voice.

[1608] The emotion engine analyzes this data and recognizes the user's emotions in real time.

[1609] 2. Generate the design:

[1610] The server receives user input data (style, color, theme, etc.) and emotion data.

[1611] A generative artificial intelligence (AI model) generates interior design parameters based on this data.

[1612] For example, if a user is feeling stressed, choose a design or color scheme that is relaxing.

[1613] 3. Video data conversion and transmission:

[1614] The server converts the generated design into video data.

[1615] The video data is sent to the terminal, which then reprocesses it for the projection device.

[1616] Specifically, the data is converted into a format suitable for the screen size and resolution of the projection device.

[1617] 4. Spatial projection of virtual design:

[1618] The terminal uses a projection device to project video data into space in real time.

[1619] The optimal design based on the user's emotions is projected into the store's virtual space.

[1620] 5. Feedback and design revisions:

[1621] Users review the projected designs and provide feedback.

[1622] Enter specific requests such as "I would like the color to be more vibrant."

[1623] The device sends this feedback to the server, which analyzes it.

[1624] The generative AI regenerates the design based on feedback and emotional data, and then converts the revised design back into video data and sends it to the device.

[1625] Hardware and Software

[1626] The hardware used may include smart glasses, a smartphone, a head-mounted display, or a robot.

[1627] The software includes an emotion engine for emotion recognition, generative artificial intelligence for design generation, and a projection device for processing video data.

[1628] Specific examples

[1629] For example, a user can access a virtual store using smart glasses. The user can communicate their desire to relax through a camera and microphone to the system. The emotion engine will detect the user's stress and generate a design based on a blue and white relaxation theme, allowing the user to have a more comfortable shopping experience in the virtual store.

[1630] Prompt Sentence Examples

[1631] text

[1632] The user is stressed, so please create a relaxing, modern design in blue and white. Specifically, a calm ocean theme.

[1633] In this way, the present invention allows for quick and efficient changes to the interior design based on the user's emotions and preferences, allowing the user to freely enjoy a fresh space without having to physically change the interior.

[1634] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1635] Step 1:

[1636] The user accesses the system by wearing a device such as smart glasses. The user inputs information about the interior design changes they wish to make (style, color, theme, etc.). The input data generated by this process is used in subsequent processing. The input data reflects the user's tastes and preferences.

[1637] Step 2:

[1638] The device uses a camera and microphone to collect the user's facial expressions and tone of voice in real time. The collected data is used as input data to recognize the user's emotional state. The emotion engine analyzes this data and recognizes the user's emotions in real time. The emotion data influences subsequent design generation.

[1639] Step 3:

[1640] The device sends the user's input data and emotional data to the server. The server receives this data and uses it as input data for design generation. The data becomes the basis for generating interior designs that reflect the user's preferences and emotional state.

[1641] Step 4:

[1642] The server uses a generative artificial intelligence (AI model) to generate interior design parameters based on the received user input data and emotional data. The generated parameters reflect the design according to the user's emotions. For example, if the user is looking for relaxation, a design based on blue and white will be selected.

[1643] Step 5:

[1644] The server converts the generated design parameters into video data and transmits it to the terminal. The video data is output in a format suitable for the projection device. The video data includes the specified style and color pattern.

[1645] Step 6:

[1646] The terminal reprocesses the received video data for the projection device, including converting it into a data format appropriate for the projection device's screen size and resolution. The adjusted video data is then sent to the projection device.

[1647] Step 7:

[1648] The device uses a projection device to project the generated design onto a physical space, such as a living room, in real time. The projection requires precise alignment, which the system automatically adjusts, allowing users to visually enjoy the virtual interior design in real time.

[1649] Step 8:

[1650] Users can check the projected design and provide specific feedback as needed, such as "I'd like the color to be more vibrant." Feedback is important for further improving user satisfaction.

[1651] Step 9:

[1652] The device sends the feedback received from the user to the server, which receives it and analyzes it as data for design revisions. The feedback data is reflected in subsequent design revisions.

[1653] Step 10:

[1654] The server uses generative AI to regenerate the design based on the received feedback and emotion data. The revised design is converted back into video data and sent back to the device. This updates the optimal design to reflect the user's wishes.

[1655] Through these steps, users can experience the optimal virtual space based on their emotions and preferences without having to make any physical changes to the interior.

[1656] 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.

[1657] 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.

[1658] 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.

[1659] 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.

[1660] 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.

[1661] 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.

[1662] 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).

[1663] 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.

[1664] 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."

[1665] 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.

[1666] 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).

[1667] 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.

[1668] 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.

[1669] 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.

[1670] 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.

[1671] 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.

[1672] 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.

[1673] 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.

[1674] 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.

[1675] 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.

[1676] 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.

[1677] The following is further disclosed regarding the above embodiment.

[1678] (Claim 1)

[1679] A means for users to input interior design;

[1680] A means for generating designs using artificial intelligence based on input data;

[1681] A means for converting the generated design into video data;

[1682] means for transmitting video data to a projection device;

[1683] a means for projecting video data into space in real time using a projection device;

[1684] A system including:

[1685] (Claim 2)

[1686] A means of receiving feedback from users; and

[1687] A means for the generative AI to modify the design based on feedback; and

[1688] A means for converting the corrected design back into image data and transmitting it to the projection device;

[1689] The system of claim 1 further comprising:

[1690] (Claim 3)

[1691] 10. The system of claim 1, further comprising means for learning from a user's past input data and preferences to optimize future design suggestions.

[1692] "Example 1"

[1693] (Claim 1)

[1694] A means for users to input interior design;

[1695] means for transmitting the input data to a server;

[1696] A means for the server to generate a design using artificial intelligence based on input data;

[1697] A means for converting the generated design into video data;

[1698] A terminal receives the video data and reprocesses it for the projection device;

[1699] a means for projecting the video data transmitted to the projection device into space in real time;

[1700] A system including:

[1701] (Claim 2)

[1702] A means of receiving feedback from users; and

[1703] a means for the server to modify the design using artificial intelligence based on the feedback;

[1704] A means for converting the modified design back into video data and transmitting it to the projection device via the terminal;

[1705] The system of claim 1 further comprising:

[1706] (Claim 3)

[1707] 10. The system of claim 1, further comprising means for learning from a user's past input data and preferences to optimize future design suggestions.

[1708] "Application Example 1"

[1709] (Claim 1)

[1710] A means for users to input interior design;

[1711] A means for generating designs using artificial intelligence based on input data;

[1712] A means for converting the generated design into video data;

[1713] means for transmitting video data to a projection device;

[1714] a means for projecting video data into space in real time using a projection device;

[1715] A means to dynamically change the spatial design for in-store events and promotions;

[1716] A system including:

[1717] (Claim 2)

[1718] A means of receiving feedback from users; and

[1719] A means for the generative AI to modify the design based on feedback; and

[1720] A means for converting the corrected design back into image data and transmitting it to the projection device;

[1721] A means to dynamically adjust the spatial design of physical stores,

[1722] The system of claim 1 further comprising:

[1723] (Claim 3)

[1724] 10. The system of claim 1, further comprising means for learning from a user's past input data and preferences to optimize future design suggestions.

[1725] "Example 2: Combining Emotion Engines"

[1726] (Claim 1)

[1727] A means for users to input interior design;

[1728] A means for collecting input data and emotion data;

[1729] A means for generating designs using artificial intelligence based on collected data; and

[1730] A means for converting the generated design into video data;

[1731] means for transmitting video data to a projection device;

[1732] a means for projecting video data into space in real time using a projection device;

[1733] A system including:

[1734] (Claim 2)

[1735] A means of receiving user feedback and sentiment data;

[1736] a means for the generative AI to modify the design based on feedback and sentiment data; and

[1737] A means for converting the corrected design back into image data and transmitting it to the projection device;

[1738] The system of claim 1 further comprising:

[1739] (Claim 3)

[1740] 10. The system of claim 1, further comprising means for learning from a user's past input data and preferences, and optimizing future design suggestions by also taking into account emotional data.

[1741] "Application example 2 when combining emotion engines"

[1742] (Claim 1)

[1743] A means for users to input interior design;

[1744] A means for generating a design by a generation artificial intelligence based on input data and user emotional data;

[1745] A means for converting the generated design into video data;

[1746] means for transmitting video data to a projection device;

[1747] a means for projecting video data into space in real time using a projection device;

[1748] A method that combines an emotion engine that recognizes the user's emotions,

[1749] A system including:

[1750] (Claim 2)

[1751] A means of receiving feedback from users; and

[1752] A means for the generative AI to modify the design based on feedback; and

[1753] A means for converting the corrected design back into image data and transmitting it to the projection device;

[1754] A means for artificial intelligence to recreate designs using user emotional data,

[1755] The system of claim 1 further comprising:

[1756] (Claim 3)

[1757] 10. The system of claim 1, further comprising means for learning from a user's past input data and preferences to optimize future design suggestions.

[1758] (Claim 4)

[1759] 10. The system of claim 1, further comprising means for collecting user emotions via a dedicated application installed on a smartphone, smart glasses, a head-mounted display, or a robot. [Explanation of symbols]

[1760] 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 users to input interior design; A means for generating designs using artificial intelligence based on input data; A means for converting the generated design into video data; means for transmitting video data to a projection device; a means for projecting video data into space in real time using a projection device; A system including:

2. A means of receiving feedback from users; and A means for the generative AI to modify the design based on feedback; and A means for converting the corrected design back into image data and transmitting it to the projection device; The system of claim 1 further comprising:

3. 10. The system of claim 1, further comprising means for learning from a user's past input data and preferences to optimize future design suggestions.

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