System

Abstract

A system is provided.SOLUTION: The system includes a generation unit configured to generate an original character based on a prompt input by a user, a modeling unit configured to convert the generated character into a 3D avatar, an image analysis unit configured to analyze a camera image of a user in real time, an instruction generation unit configured to generate an operation instruction for operating the generated 3D avatar based on a result of the analysis, and an avatar operation unit configured to operate the 3D avatar in real time based on the generated operation instruction.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Many people are reluctant to show their faces during online meetings or video streaming. Creating traditional 3D avatars is time-consuming and expensive, making them difficult to use. Furthermore, existing avatar control technologies have limitations, making it difficult to reflect the user's natural movements in real time. Furthermore, the limited customization of original characters makes it difficult to meet individual user needs. [Means for solving the problem]

[0005] The present invention provides a system including a generation means for generating an original character based on a prompt entered by a user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing a user's camera image in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, and an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions. This system allows a user to easily create an original 3D avatar based on the prompt and operate the avatar in real time.

[0006] "Generation means" refers to a function or device that generates an original character based on a prompt entered by the user.

[0007] "Modeling means" refers to a function or device that converts the generated character into a 3D avatar.

[0008] "Video analysis means" refers to a function or device that analyzes the user's camera footage in real time.

[0009] The "instruction generation means" is a function or device that generates operation instructions for operating the 3D avatar generated based on the analysis results.

[0010] "Avatar operation means" refers to a function or device that operates a 3D avatar in real time based on the generated operation instructions. [Brief explanation of the drawings]

[0011] [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

[0012] 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.

[0013] First, the terms used in the following description will be explained.

[0014] 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).

[0015] 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.

[0016] 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.

[0017] 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.

[0018] 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."

[0019] [First embodiment]

[0020] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0021] 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.

[0022] 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).

[0023] 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.

[0024] 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.

[0025] 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.

[0026] 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.

[0027] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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."

[0032] The present invention relates to a system that generates an original 3D avatar from a prompt and manipulates the avatar in real time by analyzing the user's camera image. A specific embodiment of this system is described below.

[0033] Process of a program that generates an original avatar from a prompt

[0034] User:

[0035] Users access the prompt input form using a web browser or a dedicated application. In the prompt, they describe the characteristics of the character they want to generate. For example, they can enter specific characteristics such as "a samurai with a sword, wearing blue clothes, and wearing glasses."

[0036] server:

[0037] The server receives prompts sent by users. The received prompts are analyzed by a natural language processing (NLP) module to extract the character's characteristics. Based on this analysis, an original character that meets the specified conditions is generated. The generated character is then converted into a 3D avatar by a 3D modeling engine. This 3D avatar data is stored in a database and associated with the user's ID.

[0038] Video analysis and avatar operation program processing

[0039] Device:

[0040] The user selects "Avatar Operation Mode" and activates the camera on their smartphone or PC. Images from the camera are captured in real time and sent to the video analysis module, which uses technologies such as face recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions.

[0041] Device:

[0042] Based on the results of the video analysis, instructions for controlling the 3D avatar are generated in accordance with the user's movements and facial expressions. These instructions are sent to the server as needed.

[0043] server:

[0044] The server updates the 3D avatar's movements and facial expressions in real time based on the received operational instructions, and the updated avatar data is sent to the user's device.

[0045] Device:

[0046] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see how their movements and facial expressions are reflected in the avatar.

[0047] Specific examples

[0048] For example, a user inputs and sends the prompt "A samurai with a sword. He is wearing blue clothes and glasses." The server receives this prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar and saved in the database.

[0049] The user activates the camera in the application and selects "Avatar Operation Mode." Camera images are captured in real time and analyzed by the device's video analysis module. When the user smiles, their facial expression is analyzed and reflected in the 3D avatar. This operation instruction is sent to the server, which updates the avatar's facial expression in real time. The updated avatar is then sent back to the user's device, where it displays the updated results. The user can see how their smile is reflected in the avatar.

[0050] The processing flow will be explained below.

[0051] Process of a program that generates an original avatar from a prompt

[0052] Step 1:

[0053] The user accesses a dedicated input form and enters the prompts for the character they want to generate, describing specific characteristics such as "a samurai with a sword, wearing blue clothes, and wearing glasses."

[0054] Step 2:

[0055] The user clicks the "Send" button to send the entered prompt to the server. This send operation is sent as an HTTP request from the client (user's terminal) to the server.

[0056] Step 3:

[0057] The server analyzes the prompt received from the user. The received prompt is input to a natural language processing (NLP) module to extract the character's characteristics. For example, keywords such as "holding a sword," "blue clothes," and "wearing glasses" are identified.

[0058] Step 4:

[0059] The server generates an original character based on the extracted features using a generation AI, which designs a character that meets the specified conditions.

[0060] Step 5:

[0061] The server then inputs the generated character into a 3D modeling engine and converts it into a 3D avatar, which is then stored in a database and associated with the user's ID.

[0062] Video analysis and avatar operation program processing

[0063] Step 6:

[0064] The user selects "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or PC, which then captures video in real time.

[0065] Step 7:

[0066] The device sends the captured video to the video analysis module, which performs processes such as face recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions in real time.

[0067] Step 8:

[0068] The device generates instructions for operating the 3D avatar based on the results of video analysis. For example, if the user smiles, that facial expression data is generated as an instruction.

[0069] Step 9:

[0070] The device sends the generated operation instructions to the server, which include specific data for reflecting the user's movements and facial expressions.

[0071] Step 10:

[0072] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is sent to the user's device.

[0073] Step 11:

[0074] Using the received update data, the device displays a real-time updated 3D avatar image to the user, allowing the user to see how their movements and facial expressions are reflected in the avatar.

[0075] Example 1

[0076] 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."

[0077] Today, technology that allows users to generate original 3D avatars that reflect their own characteristics and control them in real time is attracting attention. However, existing technologies have difficulty efficiently and accurately performing the entire process of generating a character based on prompts and then linking it to the user's actual movements and facial expressions. This presents challenges such as a lack of real-time performance and fidelity.

[0078] 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.

[0079] In this invention, the server includes a generation means for generating an original character based on a prompt input by a user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing a user's video in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, a means for storing 3D avatar data in a database and associating it with user identification information, and a means for generating instructions based on the video capture and video analysis results and transmitting them to the server, thereby enabling a user to operate an original 3D avatar based on a prompt text with high accuracy in real time.

[0080] The "generation means" is a function for generating an original character based on a prompt entered by the user.

[0081] "Modeling means" is a function for converting the generated character into a 3D avatar.

[0082] "Video analysis means" is a function that analyzes the user's video in real time and recognizes the user's movements and facial expressions.

[0083] The "instruction generation means" is a function for generating operation instructions for operating a 3D avatar based on the results of analysis by the video analysis means.

[0084] The "avatar operation means" is a function for operating a 3D avatar in real time based on the generated operation instructions.

[0085] A "database" is a storage device for storing generated 3D avatar data and associating it with user identification information.

[0086] "Video capture" is a function that allows you to acquire video from the user's camera in real time.

[0087] "Natural language processing technology" is a technology for analyzing prompts entered by users and extracting character characteristics.

[0088] "Facial recognition technology" is a technology that detects a user's face in video and recognizes its position and features.

[0089] "Pose detection technology" is a technology that analyzes the position and movement of the user's body and detects their pose.

[0090] "Facial expression recognition technology" is a technology that analyzes a user's facial expressions and detects changes in them.

[0091] This invention relates to a system that generates an original 3D avatar from a prompt entered by a user and manipulates it in real time by analyzing the user's camera image. A specific embodiment of this system is described below.

[0092] System Configuration

[0093] This system mainly consists of a user terminal, a server, and a database. The user terminal is a device (e.g., a PC or smartphone) for running a web browser or dedicated applications. The server provides the hardware and software environment for prompt analysis, generative AI models, 3D modeling, and real-time calculations. The database is a storage device for saving the generated 3D avatars and related data.

[0094] Create your own original avatar

[0095] User:

[0096] First, the user accesses a prompt input form using a web browser or a dedicated application, where they describe the characteristics of the character they want to create. For example, they enter specific characteristics such as "a samurai with a sword, wearing blue clothes, and wearing glasses."

[0097] server:

[0098] The server receives prompts sent by users. The received prompts are analyzed by a natural language processing (NLP) module. Specifically, the Python library spaCy is used to tokenize the prompt sentence and extract character features. The analyzed results are passed to a character generation AI model (e.g., StyleGAN). The model generates an original character as image data based on the prompt.

[0099] The generated character image is then converted into a 3D avatar using a 3D modeling engine (e.g., Blender), and this avatar data is stored in a database and associated with the user's identity.

[0100] Video analysis and avatar control

[0101] User:

[0102] The user selects "Avatar Control Mode" and activates the camera on their smartphone or PC, which then begins capturing video in real time.

[0103] Device:

[0104] The camera image is passed to the device's video analysis module, which uses libraries such as OpenCV and dlib to perform face recognition, pose detection, and facial expression recognition. For example, when the user smiles, that expression is detected.

[0105] The analyzed data is passed to an instruction generation means for operating the 3D avatar, which generates specific operation instructions in accordance with the user's movements and facial expressions. The generated operation instructions are then sent to a server as needed.

[0106] server:

[0107] The server updates the 3D avatar's movements and facial expressions in real time based on the received instructions. For example, if the server receives an instruction to "show a smile," the avatar's facial expression will change to a smile.

[0108] Device:

[0109] The updated 3D avatar data is sent from the server to the user's device, which then generates a new avatar image and displays it to the user, allowing the user to see in real time how their own movements and facial expressions are reflected in the avatar.

[0110] Specific examples

[0111] As a concrete example, a user inputs and sends the prompt "A samurai with a sword. He is wearing blue clothes and glasses." The server that receives this prompt analyzes the prompt using a natural language processing module (e.g., spaCy). Based on the analysis results, a character generation AI model (e.g., StyleGAN) generates an original character. The generated character is converted into a 3D avatar by a 3D modeling engine (e.g., Blender) and saved in a database.

[0112] Next, the user activates the camera in the application and selects "Avatar Operation Mode." Camera images are captured in real time and analyzed by the device's video analysis module (e.g., OpenCV or dlib). When the user smiles, their facial expression is analyzed and an instruction is sent to the server. The server updates the avatar's facial expression to a smile in real time, and the updated avatar is sent back to the user's device. The user can see how their smile is reflected in the avatar.

[0113] As described above, this system enables users to control original 3D avatars based on prompt sentences with high accuracy and in real time.

[0114] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0115] Step 1:

[0116] Entering a prompt statement

[0117] User:

[0118] The user accesses a prompt input form in a web browser or dedicated application and inputs the specific characteristics of the character. For example, they might input "a samurai with a sword, wearing blue clothes, and wearing glasses." This input triggers the process.

[0119] Input: The prompt text entered by the user

[0120] Output: Prompt text

[0121] What happens: The user uses the keyboard or touchscreen to enter the character's characteristics in text form into the designated prompt field.

[0122] Step 2:

[0123] Sending and receiving prompts

[0124] User:

[0125] After entering the prompt, press the send button.

[0126] server:

[0127] The server receives the prompt text sent by the user via an HTTP request.

[0128] Input: The prompt text sent by the user

[0129] Output: Received prompt text

[0130] Specific operation: When the user presses the submit button, the prompt text is sent to the server as an HTTP request.

[0131] Step 3:

[0132] Parsing the prompt statement

[0133] server:

[0134] The server uses a natural language processing (NLP) module to parse the received prompt sentences, specifically using the Python library spaCy to tokenize the sentences and extract keywords such as nouns and adjectives.

[0135] Input: Received prompt sentence

[0136] Output: Extracted character features

[0137] How it works: The server passes the prompt to spaCy, which performs NLP analysis to extract the character's characteristics. For example, keywords such as "sword," "samurai," "blue clothes," and "glasses" are obtained.

[0138] Step 4:

[0139] Creating an original character

[0140] server:

[0141] The server generates an original character using an AI generative model (e.g., StyleGAN) based on the extracted features, and the generated character is output as image data.

[0142] Input: Extracted character features

[0143] Output: Generated character image

[0144] Specific operation: The server inputs the extracted features into StyleGAN and generates a character image that matches the specified conditions.

[0145] Step 5:

[0146] Convert to 3D avatar and save

[0147] server:

[0148] The server passes the generated character image to a 3D modeling engine (e.g., Blender) and converts it into a 3D avatar. The generated 3D avatar data is stored in a database and associated with the user's identification information.

[0149] Input: Generated character image

[0150] Output: Saved 3D avatar data

[0151] Specific operation: The server uses Blender to convert the character image into a 3D model and saves the generated 3D model data in a database.

[0152] Step 6:

[0153] Activating the camera and capturing video

[0154] User:

[0155] The user selects "Avatar operation mode" and activates the camera on their smartphone or PC.

[0156] Device:

[0157] The camera captures video in real time and sends the video data to the device's video analysis module.

[0158] Input: Camera image

[0159] Output: Captured video data

[0160] Specific operation: The camera is activated, captures video in real time, and saves it on the device.

[0161] Step 7:

[0162] Video Analysis

[0163] Device:

[0164] The video analysis module uses OpenCV and dlib to analyze video data, which allows for face recognition, pose detection, and facial expression recognition.

[0165] Input: Captured video data

[0166] Output: Recognized user movement and facial expression data

[0167] How it works: The device analyzes the captured video data and recognizes the user's face, pose, and facial expression. For example, when the user smiles, that expression is detected.

[0168] Step 8:

[0169] Generate and send operation instructions

[0170] Device:

[0171] Based on the results of the video analysis, instructions for operating the 3D avatar are generated and sent to the server as needed.

[0172] Input: Recognized user movement and facial expression data

[0173] Output: Generated operating instructions

[0174] Specific operation: The device generates an operation instruction (e.g., "Show a smile") corresponding to the recognized movement or facial expression and sends it to the server.

[0175] Step 9:

[0176] Avatar Updates

[0177] server:

[0178] The server updates the movements and facial expressions of the 3D avatar based on the received operational instructions.

[0179] Input: Generated operation instructions

[0180] Output: Updated 3D avatar data

[0181] Specific operation: The server receives the operation instructions and changes the movements and facial expressions of the 3D avatar in real time based on them.

[0182] Step 10:

[0183] Avatar video display

[0184] Device:

[0185] The updated 3D avatar data is sent from the server to the user's device, which then generates and displays a new avatar image.

[0186] Input: Updated 3D avatar data

[0187] Output: 3D avatar image displayed

[0188] How it works: The user's device generates a new avatar image using the updated data sent from the server and displays it on the screen. The user can then check how their own movements and facial expressions are reflected in the avatar.

[0189] (Application example 1)

[0190] 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."

[0191] In conventional virtual stores, it was difficult for users to have a shopping experience similar to that in the real world. In particular, users could not interact in the virtual space with their own movements and facial expressions reflected in real time. As a result, the user experience in virtual stores was not sufficiently improved. In addition, access to detailed information about other users and products in the store was often limited, making it difficult to achieve an effective shopping experience.

[0192] 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.

[0193] In this invention, the server includes a generation means for generating an original character based on a prompt input by the user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing the user's camera image in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, and a communication means for enabling the user to interact with other users and products using the avatar in the virtual store. This allows the user to enjoy interactions in the virtual store while having their own movements and expressions reflected in real time.

[0194] 1. A "prompt" is a text entry field where users can specifically describe the characteristics of the character they wish to generate.

[0195] 2. "Original Character" means a unique character generated based on a user prompt.

[0196] 3. "Generation method" refers to the method or technology for generating an original character from the prompts entered by the user.

[0197] 4. "3D avatar" is an avatar that represents an original character as a three-dimensional model.

[0198] 5. "Modeling Method" means the method or technique used to convert the generated original character into a 3D avatar.

[0199] 6. "Video analysis means" means a method or technology for analyzing a user's camera footage in real time and recognizing the user's movements and facial expressions.

[0200] 7. "Instruction generation means" means a method or technology for generating instructions for operating a 3D avatar based on the analysis results obtained by the video analysis means.

[0201] 8. "Avatar operation means" means a method or technology for operating a 3D avatar in real time based on generated operation instructions.

[0202] 9. "Communication means" refers to the network communication technology that allows users to interact with other users and products within the virtual store.

[0203] 10. "Virtual store" is a digital environment that allows users to have a shopping experience in a virtual space.

[0204] The present invention relates to a system that generates an original 3D avatar from a prompt and manipulates the avatar in real time by analyzing the user's camera image. A specific embodiment of this system is described below.

[0205] System configuration

[0206] The system of this invention consists of a user terminal and a server. The user terminal can be a smartphone or smart glasses, and the server has the function of analyzing the prompts entered by the user and generating a 3D avatar.

[0207] User Device

[0208] The user terminal uses the following hardware and software:

[0209] Hardware: Smartphones, smart glasses.

[0210] Camera: A camera to capture the user's movements and facial expressions.

[0211] Software: Video analysis module, avatar operation module.

[0212] 1. The user enters a prompt: The user accesses a prompt input form using a dedicated application. In the prompt, the user describes the characteristics of the character they want to generate. For example, they enter specific characteristics such as "a man wearing a blue shirt, smiling."

[0213] 2. Start the camera and select the operation mode: The user starts the camera and selects the "Avatar operation mode." The video from the camera is captured in real time and sent to the video analysis module.

[0214] server

[0215] The server uses the following hardware and software.

[0216] Software: Natural language processing tools (e.g., spaCy, Google® Cloud Natural Language API), 3D modeling engines (e.g., Blender, Unity 3D).

[0217] 1. Prompt analysis and 3D avatar generation: The server receives the prompt sent by the user. The received prompt is analyzed by a natural language processing (NLP) module to extract the character's characteristics. Based on this analysis, an original character that meets the specified conditions is generated. The generated character is then converted into a 3D avatar by a 3D modeling engine. The generated 3D avatar data is stored in a database and associated with the user's ID.

[0218] 2. Generation of operation instructions and avatar operation: Based on the results of the video analysis module, instructions for operating the 3D avatar in accordance with the user's movements and facial expressions are generated. These instructions are sent to the server as needed. The server updates the 3D avatar's movements and facial expressions in real time based on the received operation instructions and sends the updated avatar data to the user's device.

[0219] Specific examples

[0220] As a concrete example of use, a user types the prompt "Man in blue shirt, smiling" and submits it. The system works as follows:

[0221] 1. The user enters "Man in blue shirt, smiling" into the prompt input form and submits it.

[0222] 2. The server receives the prompt, analyzes it using natural language processing tools, and extracts the specified features.

[0223] 3. Based on the extracted features, the 3D modeling engine generates a smiling 3D avatar wearing a blue shirt.

[0224] 4. The user activates the camera and selects "Avatar Control Mode." Real-time video is captured and analyzed by the video analysis module.

[0225] 5. When the user smiles, their facial expression is analyzed and the server updates the avatar's facial expression based on the analysis results.

[0226] 6. The updated avatar data is sent to the user's device, and the avatar's facial expressions are reflected in real time.

[0227] This system allows users to enjoy interacting in a virtual store with their own movements and facial expressions reflected in real time.

[0228] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0229] Step 1:

[0230] The user enters the prompt.

[0231] Input: The user enters specific characteristics, such as "a man wearing a blue shirt, smiling," into a prompt input form in a dedicated application.

[0232] Output: The user's prompt is sent to the server.

[0233] How it works: The user accesses the prompt input screen of the application using a smartphone or PC, enters the prompt text, and presses the send button.

[0234] Step 2:

[0235] The server analyzes the prompt and generates an original character.

[0236] Input: The submitted prompt: "Man in blue shirt, smiling."

[0237] Output: Character characteristics based on the prompt (e.g. blue shirt, smiling face) and original character data based on that.

[0238] How it works: The server's natural language processing (NLP) module parses the prompt and extracts the characteristics of the specified character. A 3D modeling engine then generates an original character based on these characteristics.

[0239] Step 3:

[0240] Convert the generated original character into a 3D avatar.

[0241] Input: Character feature data.

[0242] Output: 3D avatar data.

[0243] How it works: A 3D modeling engine on the server generates a character and creates a 3D avatar. This data is stored in a database and associated with the user's ID.

[0244] Step 4:

[0245] The user activates the camera and selects the avatar operation mode.

[0246] Input: User's camera video.

[0247] Output: The camera video is sent to the video analysis module.

[0248] How it works: A user opens the application, activates the camera and selects "Avatar Control Mode." The camera captures video in real time and sends the video data to the video analysis module.

[0249] Step 5:

[0250] The video analysis module analyzes the user's movements and facial expressions.

[0251] Input: Camera footage.

[0252] Output: Analyzed movement and facial expression data.

[0253] Movement: The video analysis module uses facial recognition, pose detection, and facial expression recognition technologies to analyze the user's movements and facial expressions, and digitize the results.

[0254] Step 6:

[0255] Based on the analysis results, the instruction generation means generates an instruction to operate the 3D avatar.

[0256] Input: Analyzed movement and facial expression data.

[0257] Output: Instruction data for controlling a 3D avatar.

[0258] Movement: Based on the video analysis results, the server generates instructions to control the movements and facial expressions of the 3D avatar.

[0259] Step 7:

[0260] Operate a 3D avatar in real time based on operational instruction data.

[0261] Input: Operation instruction data.

[0262] Output: Updated 3D avatar data.

[0263] Movement: The avatar operation means controls the 3D avatar in real time based on the generated operation instructions, updating its movements and facial expressions.

[0264] Step 8:

[0265] The updated avatar data is sent to the user terminal and displayed.

[0266] Input: Updated 3D avatar data.

[0267] Output: A real-time 3D avatar displayed on the user's device.

[0268] How it works: The server sends updated 3D avatar data to the user's device, which receives the data and displays it in real time.

[0269] This allows users to see their movements and facial expressions reflected in the 3D avatar in real time, and they can also interact with other users and get detailed product information in the virtual store.

[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] The present invention relates to a system that generates an original 3D avatar from a prompt and controls the avatar in real time by analyzing the user's camera image and recognizing their emotions. A specific embodiment of this system is described below.

[0272] Process of a program that generates an original avatar from a prompt

[0273] User:

[0274] Users access the prompt input form using a web browser or a dedicated application and describe the characteristics of the character they want to generate. For example, they might enter, "A samurai with a sword. Wears blue clothes. Wears glasses."

[0275] server:

[0276] The server receives the prompt sent by the user and analyzes it using a natural language processing (NLP) module. This analysis extracts details about the character, and the generation AI generates an original character that meets the specified conditions. The generated character is then converted into a 3D avatar through a 3D modeling engine and stored in a database.

[0277] Video analysis and avatar operation program processing

[0278] Device:

[0279] The user selects "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or PC. Images from the camera are captured in real time and sent to the video analysis module, which uses technologies such as face recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions.

[0280] Device:

[0281] Furthermore, the emotion engine uses video analysis and voice recognition technology to analyze the user's emotions. For example, if the user is smiling, it will be analyzed as expressing "joy."

[0282] Device:

[0283] Based on the results of video analysis and the emotion engine, instructions for controlling the 3D avatar are generated, including data reflecting specific movements, facial expressions, and emotions.

[0284] Device:

[0285] The generated operation instructions are sent to the server, and include data to reflect the user's movements, facial expressions, and emotions.

[0286] server:

[0287] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is sent to the user's device.

[0288] Device:

[0289] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see how their movements, facial expressions, and emotions are reflected in the avatar.

[0290] Specific examples

[0291] For example, a user inputs and sends the prompt "A samurai with a sword. He is wearing blue clothes and glasses." The server receives this prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar and saved in a database.

[0292] The user turns on the camera on their smartphone or PC and selects "avatar operation mode." Camera footage is captured in real time and analyzed by the device's video analysis module. If the user smiles, their facial expression is recognized as "happiness," and the emotion engine analyzes this emotion. The analysis results are generated as operation instructions and sent to the server. The server updates the 3D avatar's facial expressions and movements in real time and sends them to the user's device. The user can see how their smile and emotions are reflected in the avatar in real time.

[0293] The processing flow will be explained below.

[0294] Process of a program that generates an original avatar from a prompt

[0295] Step 1:

[0296] The user accesses a dedicated input form and enters the prompt for the character they want to generate, for example, "A samurai with a sword. Wears blue clothes. Wears glasses."

[0297] Step 2:

[0298] The user clicks the "Send" button to send the entered prompt to the server. The send operation is sent as an HTTP request from the client (user's terminal) to the server.

[0299] Step 3:

[0300] The server analyzes the prompt received from the user. The received prompt is input to a natural language processing (NLP) module to extract the character's characteristics. For example, keywords such as "holding a sword," "blue clothes," and "wearing glasses" are identified.

[0301] Step 4:

[0302] The server generates an original character based on the extracted features using a generation AI, which designs a character that meets the specified conditions.

[0303] Step 5:

[0304] The server then inputs the generated character into a 3D modeling engine and converts it into a 3D avatar, which is then stored in a database and associated with the user's ID.

[0305] Avatar operation processing using video analysis and emotion engine

[0306] Step 6:

[0307] The user selects "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or PC, which then captures video in real time.

[0308] Step 7:

[0309] The device sends the captured video to the video analysis module, which analyzes the user's movements and facial expressions using facial recognition, pose detection, and facial expression recognition technologies.

[0310] Step 8:

[0311] The device sends the user's facial expression data to the emotion engine, which then analyzes the user's emotions. If the user is smiling, it is recognized as expressing "happiness."

[0312] Step 9:

[0313] The device generates instructions for controlling the 3D avatar based on the results of video analysis and the emotion engine. The generated instructions include data reflecting specific movements, facial expressions, and emotions.

[0314] Step 10:

[0315] The device sends the generated operation instructions to the server, which include data to reflect the user's movements, facial expressions, and emotions.

[0316] Step 11:

[0317] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is sent to the user's device.

[0318] Step 12:

[0319] Using the received update data, the device displays a real-time updated 3D avatar image to the user, allowing the user to see how their movements, facial expressions, and emotions are reflected in the avatar.

[0320] Specific examples

[0321] For example, a user can input a prompt such as "A samurai with a sword. He is wearing blue clothes and glasses." The server then analyzes the prompt using a natural language processing module and generates an original character. The server then converts this character into a 3D avatar and stores it in a database.

[0322] The user turns on the camera on their smartphone or PC and selects "Avatar Operation Mode." Camera footage is captured in real time and analyzed by the device's video analysis module. If the user smiles, their facial expression is recognized as "happiness," and the emotion engine analyzes this emotion. The analysis results are generated as operation instructions and sent to the server. The server updates the 3D avatar's facial expressions and movements in real time and sends them to the user's device. The user can see how their smile and emotions are reflected in the avatar in real time.

[0323] Example 2

[0324] 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."

[0325] Conventional 3D avatar systems have limitations in reflecting the user's real-time movements and facial expressions, resulting in an insufficient interactive experience. Furthermore, the technology for analyzing the user's emotions and reflecting them in the avatar is immature, making it difficult to accurately express the user's intentions in the avatar. This limits the communication and entertainment experiences in virtual environments.

[0326] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0327] In this invention, the server includes a generation means for generating an original character based on a prompt input by the user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing the user's camera video in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, and an emotion analysis means for analyzing the user's emotions. This allows the user's real-time movements, facial expressions, and even emotions to be accurately reflected in the avatar, enabling a more natural and intuitive interactive experience.

[0328] The "generation means" is a function that generates an original character based on a prompt entered by the user.

[0329] "Modeling means" is a function that converts the generated character into a 3D avatar.

[0330] "Video analysis means" is a function that analyzes the user's camera footage in real time.

[0331] The "instruction generation means" is a function that generates operation instructions for operating the 3D avatar generated based on the results of analysis by the video analysis means.

[0332] The "avatar operation means" is a function for operating a 3D avatar in real time based on the generated operation instructions.

[0333] "Emotion analysis means" is a function that analyzes the user's emotions.

[0334] "Natural language processing techniques" are techniques that the generator uses to analyze the input prompt.

[0335] "Facial recognition technology" refers to the technology used by video analysis means to recognize a user's face.

[0336] "Pose detection technology" refers to technology used by the video analysis means to detect the user's pose.

[0337] "Facial expression recognition technology" refers to technology used by video analysis means to recognize a user's facial expressions.

[0338] "Speech recognition technology" is technology for recognizing language from telephone calls and voice recordings.

[0339] The present invention relates to a system that generates an original 3D avatar based on a prompt entered by a user, analyzes the user's camera image in real time to recognize emotions, and controls the avatar. Specific embodiments for carrying out the present invention are described below.

[0340] Prompt input and character generation

[0341] User:

[0342] Users access a prompt input form using a web browser or a dedicated application and describe the characteristics of the character they want to generate. For example, a prompt might be entered such as "A samurai with a sword. Wears blue clothes. Wears glasses."

[0343] server:

[0344] The server receives the prompt sent by the user and analyzes it using a natural language processing (NLP) module. This analysis extracts the character's features. A generative AI model then generates an original character based on this feature information. The generated character is then converted into a 3D avatar by a 3D modeling engine and stored in a database.

[0345] Camera activation and video analysis

[0346] User:

[0347] The user launches the dedicated application and selects "Avatar Control Mode." Next, they turn on the camera on their smartphone or PC. This camera image is captured in real time.

[0348] Device:

[0349] The captured camera footage is sent to a video analysis module, which uses facial recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions. For example, if the user raises their hand or smiles, their movements and facial expressions are analyzed.

[0350] Emotion analysis:

[0351] Furthermore, the emotion analysis engine uses video analysis and voice recognition technology to analyze the user's emotions. For example, if the user is talking happily, the emotion of "joy" is detected from the user's voice and facial expression.

[0352] Real-time avatar control

[0353] Device:

[0354] Based on the results of video and emotion analysis, instructions for operating the 3D avatar are generated. The generated instructions include data that reflects the user's movements, facial expressions, and emotions. For example, if the user is smiling, instructions are generated to reflect that smile on the avatar.

[0355] server:

[0356] The generated operation instructions are sent to the server, which receives them and updates the 3D avatar in real time. The updated avatar data is then sent to the user's device.

[0357] Device:

[0358] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see in real time how their movements, facial expressions, and emotions are reflected in the avatar.

[0359] Specific examples

[0360] For example, a user inputs and sends a prompt such as "A samurai with a sword. Wearing blue clothes. Wearing glasses." The server receives the prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar using a 3D modeling engine and saved in a database.

[0361] Next, the user turns on the camera on their smartphone or PC and selects "avatar operation mode." Camera footage is captured in real time and sent to the video analysis module. If the user smiles, their facial expression is recognized as "happiness" and analyzed by the emotion analysis engine. The analysis results are generated as operation instructions and sent to the server. The server updates the facial expressions and movements of the 3D avatar in real time, and the updated avatar data is sent to the user's device. The user can see in real time how their smile and emotions are reflected in the avatar.

[0362] In this way, the present invention realizes a system that provides a more natural and intuitive interactive experience by reflecting the user's movements and emotions in real time.

[0363] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0364] System program processing flow

[0365] Step 1: Enter the prompt and submit

[0366] Subject: User

[0367] The user accesses the prompt input form using a web browser or a dedicated application and describes the characteristics of the character they want to generate. For example, they might enter "a samurai with a sword, wearing blue clothes, and glasses." After completing the prompt, they click the "Submit" button.

[0368] Input: A prompt describing the character's characteristics

[0369] Output: The prompt sent to the server

[0370] Step 2: Parsing the prompt and generating a character

[0371] Subject: Server

[0372] The server receives prompts sent by users and analyzes them using a natural language processing (NLP) module. Through analysis, the character characteristics in the prompt (e.g., "samurai with a sword," "blue clothes," "wearing glasses") are extracted. A generative AI model generates an original character based on this characteristic information. The generated character is converted into a 3D avatar using a 3D modeling engine and stored in a database.

[0373] Input: prompt statement

[0374] Output: Analyzed character features and generated 3D avatar data

[0375] Step 3: Select avatar control mode

[0376] Subject: User

[0377] The user launches the dedicated application, selects "Avatar Control Mode," and then activates the camera on their smartphone or PC.

[0378] Input: Launch the application and select "Avatar Operation Mode"

[0379] Output: Start capturing camera video

[0380] Step 4: Capture and send camera footage

[0381] Subject: Terminal

[0382] The device captures video from the activated camera in real time and sends it to the video analysis module.

[0383] Input: Camera image

[0384] Output: Video data sent to the video analysis module

[0385] Step 5: Video analysis and recognition of movements and facial expressions

[0386] Subject: Terminal

[0387] The video analysis module analyzes camera footage using facial recognition, pose detection, and facial expression recognition technologies. For example, if a user raises their hand, this action is recognized through pose detection.

[0388] Input: Video data

[0389] Output: Analyzed motion and facial expression data

[0390] Step 6: Audio and Sentiment Analysis

[0391] Subject: Terminal

[0392] The emotion analysis engine uses video analysis results and voice recognition technology to analyze the user's emotions. For example, if a user speaks with a smile, the emotion of "joy" is detected from their voice and facial expression.

[0393] Input: Video analysis results and audio data

[0394] Output: Parsed emotion data

[0395] Step 7: Generate operating instructions

[0396] Subject: Terminal

[0397] Based on the results of the video analysis and emotion analysis, the device generates instructions for operating the 3D avatar. For example, if the user is smiling, the device generates an instruction to "make the avatar smile."

[0398] Input: Analyzed motion, facial expression, and emotion data

[0399] Output: Operation instruction data

[0400] Step 8: Sending Operation Instructions

[0401] Subject: Terminal

[0402] The generated operation instruction is sent to the server.

[0403] Input: Operation instruction data

[0404] Output: Operation instruction data sent to the server

[0405] Step 9: Real-time updates of the 3D avatar

[0406] Subject: Server

[0407] The server updates the 3D avatar in real time based on the received instructions. For example, if the user smiles, the avatar is updated to smile.

[0408] Input: Operation instruction data

[0409] Output: Updated 3D avatar data

[0410] Step 10: View the updated avatar

[0411] Subject: Terminal

[0412] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see how their movements, facial expressions, and emotions are reflected in the avatar.

[0413] Input: Updated 3D avatar data

[0414] Output: 3D avatar video displayed to the user

[0415] (Application example 2)

[0416] 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."

[0417] In modern virtual stores, user interaction is limited and considered inferior to the real-life customer service experience. This leads to a poor user experience and reduces online purchasing motivation. Furthermore, it is difficult to provide natural and engaging interactions because it is difficult to control the avatar in real time to match the user's actual facial expressions and emotions.

[0418] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0419] In this invention, the server includes a generation means for generating an original character based on a prompt input by the user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing the user's camera video in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, an emotion analysis means for analyzing the user's emotions and operating the 3D avatar based on the emotions, and an interaction means for interacting with the user in real time in the online virtual space. This enables real-time avatar operation based on the user's facial expressions and emotions, making it possible to provide a more natural and attractive customer service experience in the virtual store.

[0420] The "generation means" is a means for generating an original character based on a prompt entered by the user.

[0421] "Modeling means" refers to a means for converting the generated character into a 3D avatar.

[0422] "Video analysis means" is a means for analyzing the user's camera footage in real time.

[0423] The "instruction generation means" is a means for generating operation instructions for operating the 3D avatar generated based on the analysis results.

[0424] The "avatar operation means" is a means for operating a 3D avatar in real time based on the generated operation instructions.

[0425] The "emotion analysis means" is a means for analyzing the user's emotions and controlling the 3D avatar based on those emotions.

[0426] "Interaction means" refers to a means for interacting with users in real time within an online virtual space.

[0427] The system according to the present invention provides various means for users to interact in real time with a virtual store. The system is implemented using the following hardware and software:

[0428] First, a user accesses a virtual store using a smartphone or head-mounted display. They then launch a dedicated application and enter the characteristics of the character they want to create in a prompt input form. For example, a user might enter a prompt such as, "Tell me about wooden dining tables."

[0429] The server receives prompts sent by the user and analyzes them using a natural language processing (NLP) module. Examples of NLP modules include widely used Tensorflow (registered trademark), NLTK, and Spacy. This analysis extracts character details, and a generation AI generates an original character that meets the specified criteria. This generation AI may use Blender or Unity. The generated character is converted into a 3D avatar through a 3D modeling engine and stored in a database.

[0430] Next, the user selects the "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or head-mounted display. Video from this camera is captured in real time and analyzed by a video analysis module, which may use technologies such as OpenCV or MediaPipe. This module recognizes the user's movements and facial expressions using face recognition, pose detection, and facial expression recognition technologies.

[0431] Furthermore, the emotion analysis engine will analyze the user's emotions using video analysis and voice recognition technology. Emotion analysis may utilize Google Cloud's Emotion Recognition API. For example, if the user is smiling, it will be analyzed as expressing "joy."

[0432] Based on these analysis results, operation instructions are generated to reflect the user's movements, facial expressions, and emotions on the avatar in real time. The generated operation instructions are sent to the server as Protobuf or JSON format data. The server receives these operation instructions and updates the 3D avatar in real time. The updated avatar data is then sent back to the user's device, where it is displayed. This allows the user to see in real time how their movements, facial expressions, and emotions are being reflected on the avatar.

[0433] As a concrete example, a user inputs and sends a prompt such as "Tell me about wooden dining tables." The server receives this prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar and stored in a database. The user activates the camera on their smartphone or head-mounted display and selects "Avatar Operation Mode." Camera footage is captured in real time and analyzed by the device's video analysis module. If the user smiles, their facial expression is recognized as "happiness," and the emotion engine analyzes this emotion. The analysis results are generated as operation instructions and sent to the server. The server updates the 3D avatar's facial expressions and movements in real time and sends them to the user's device. The user can see in real time how their smile and emotions are reflected in the avatar.

[0434] In this way, the present invention can provide users with natural and engaging interactions in virtual environments.

[0435] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0436] Step 1:

[0437] The user launches the dedicated application, accesses the prompt input form, and describes the characteristics of the character they want to generate. For example, they might enter, "Tell me about wooden dining tables." This prompt becomes the input data.

[0438] Step 2:

[0439] The server receives prompts sent by users and analyzes them using a natural language processing (NLP) module. The NLP module analyzes the input text and extracts the character's characteristics and attributes. The generative AI model outputs detailed data for characters that meet the specified conditions.

[0440] Step 3:

[0441] The server generates an original character that meets the specified conditions from the analyzed prompts using a generative AI model, converts the character into a 3D avatar using a 3D modeling engine such as Blender or Unity, and stores the 3D avatar data in a database.

[0442] Step 4:

[0443] The user selects the "Avatar Operation Mode" in the dedicated application and activates the camera on their smartphone or head-mounted display. Images from the camera are captured in real time, and this video data becomes input data. The device then sends this data to the video analysis module.

[0444] Step 5:

[0445] The device's video analysis module analyzes the captured video using OpenCV, MediaPipe, etc. It detects the user's movements and facial expressions using facial recognition, pose detection, and facial expression recognition technology, and outputs specific movement and facial expression data.

[0446] Step 6:

[0447] The emotion analysis engine analyzes the user's emotions from video and audio data. The emotion analysis engine uses Google Cloud's Emotion Recognition API and other tools to output emotional data from the user's facial expressions and tone of voice. For example, if the user is smiling, it will be recognized as "joy."

[0448] Step 7:

[0449] The server generates specific operational instructions for operating the 3D avatar based on the motion and emotion data sent from the device. These operational instructions are output as data in Protobuf or JSON format and received by the server.

[0450] Step 8:

[0451] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is then sent back to the user's device.

[0452] Step 9:

[0453] The user device displays the updated 3D avatar image sent from the server to the user, allowing the user to see in real time how their movements, facial expressions, and emotions are reflected in the avatar.

[0454] 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.

[0455] 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.

[0456] 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.

[0457] [Second embodiment]

[0458] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0459] 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.

[0460] 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).

[0461] 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.

[0462] 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.

[0463] 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).

[0464] 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.

[0465] 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.

[0466] 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.

[0467] 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.

[0468] 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.

[0469] 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."

[0470] The present invention relates to a system that generates an original 3D avatar from a prompt and manipulates the avatar in real time by analyzing the user's camera image. A specific embodiment of this system is described below.

[0471] Process of a program that generates an original avatar from a prompt

[0472] User:

[0473] Users access the prompt input form using a web browser or a dedicated application. In the prompt, they describe the characteristics of the character they want to generate. For example, they can enter specific characteristics such as "a samurai with a sword, wearing blue clothes, and wearing glasses."

[0474] server:

[0475] The server receives prompts sent by users. The received prompts are analyzed by a natural language processing (NLP) module to extract the character's characteristics. Based on this analysis, an original character that meets the specified conditions is generated. The generated character is then converted into a 3D avatar by a 3D modeling engine. This 3D avatar data is stored in a database and associated with the user's ID.

[0476] Video analysis and avatar operation program processing

[0477] Device:

[0478] The user selects "Avatar Operation Mode" and activates the camera on their smartphone or PC. Images from the camera are captured in real time and sent to the video analysis module, which uses technologies such as face recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions.

[0479] Device:

[0480] Based on the results of the video analysis, instructions for controlling the 3D avatar are generated in accordance with the user's movements and facial expressions. These instructions are sent to the server as needed.

[0481] server:

[0482] The server updates the 3D avatar's movements and facial expressions in real time based on the received operational instructions, and the updated avatar data is sent to the user's device.

[0483] Device:

[0484] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see how their movements and facial expressions are reflected in the avatar.

[0485] Specific examples

[0486] For example, a user inputs and sends the prompt "A samurai with a sword. He is wearing blue clothes and glasses." The server receives this prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar and saved in the database.

[0487] The user activates the camera in the application and selects "Avatar Operation Mode." Camera images are captured in real time and analyzed by the device's video analysis module. When the user smiles, their facial expression is analyzed and reflected in the 3D avatar. This operation instruction is sent to the server, which updates the avatar's facial expression in real time. The updated avatar is then sent back to the user's device, where it displays the updated results. The user can see how their smile is reflected in the avatar.

[0488] The processing flow will be explained below.

[0489] Process of a program that generates an original avatar from a prompt

[0490] Step 1:

[0491] The user accesses a dedicated input form and enters the prompts for the character they want to generate, describing specific characteristics such as "a samurai with a sword, wearing blue clothes, and wearing glasses."

[0492] Step 2:

[0493] The user clicks the "Send" button to send the entered prompt to the server. This send operation is sent as an HTTP request from the client (user's terminal) to the server.

[0494] Step 3:

[0495] The server analyzes the prompt received from the user. The received prompt is input to a natural language processing (NLP) module to extract the character's characteristics. For example, keywords such as "holding a sword," "blue clothes," and "wearing glasses" are identified.

[0496] Step 4:

[0497] The server generates an original character based on the extracted features using a generation AI, which designs a character that meets the specified conditions.

[0498] Step 5:

[0499] The server then inputs the generated character into a 3D modeling engine and converts it into a 3D avatar, which is then stored in a database and associated with the user's ID.

[0500] Video analysis and avatar operation program processing

[0501] Step 6:

[0502] The user selects "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or PC, which then captures video in real time.

[0503] Step 7:

[0504] The device sends the captured video to the video analysis module, which performs processes such as face recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions in real time.

[0505] Step 8:

[0506] The device generates instructions for operating the 3D avatar based on the results of video analysis. For example, if the user smiles, that facial expression data is generated as an instruction.

[0507] Step 9:

[0508] The device sends the generated operation instructions to the server, which include specific data for reflecting the user's movements and facial expressions.

[0509] Step 10:

[0510] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is sent to the user's device.

[0511] Step 11:

[0512] Using the received update data, the device displays a real-time updated 3D avatar image to the user, allowing the user to see how their movements and facial expressions are reflected in the avatar.

[0513] Example 1

[0514] 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."

[0515] Today, technology that allows users to generate original 3D avatars that reflect their own characteristics and control them in real time is attracting attention. However, existing technologies have difficulty efficiently and accurately performing the entire process of generating a character based on prompts and then linking it to the user's actual movements and facial expressions. This presents challenges such as a lack of real-time performance and fidelity.

[0516] 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.

[0517] In this invention, the server includes a generation means for generating an original character based on a prompt input by a user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing a user's video in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, a means for storing 3D avatar data in a database and associating it with user identification information, and a means for generating instructions based on the video capture and video analysis results and transmitting them to the server, thereby enabling a user to operate an original 3D avatar based on a prompt text with high accuracy in real time.

[0518] The "generation means" is a function for generating an original character based on a prompt entered by the user.

[0519] "Modeling means" is a function for converting the generated character into a 3D avatar.

[0520] "Video analysis means" is a function that analyzes the user's video in real time and recognizes the user's movements and facial expressions.

[0521] The "instruction generation means" is a function for generating operation instructions for operating a 3D avatar based on the results of analysis by the video analysis means.

[0522] The "avatar operation means" is a function for operating a 3D avatar in real time based on the generated operation instructions.

[0523] A "database" is a storage device for storing generated 3D avatar data and associating it with user identification information.

[0524] "Video capture" is a function that allows you to acquire video from the user's camera in real time.

[0525] "Natural language processing technology" is a technology for analyzing prompts entered by users and extracting character characteristics.

[0526] "Facial recognition technology" is a technology that detects a user's face in video and recognizes its position and features.

[0527] "Pose detection technology" is a technology that analyzes the position and movement of the user's body and detects their pose.

[0528] "Facial expression recognition technology" is a technology that analyzes a user's facial expressions and detects changes in them.

[0529] This invention relates to a system that generates an original 3D avatar from a prompt entered by a user and manipulates it in real time by analyzing the user's camera image. A specific embodiment of this system is described below.

[0530] System Configuration

[0531] This system mainly consists of a user terminal, a server, and a database. The user terminal is a device (e.g., a PC or smartphone) for running a web browser or dedicated applications. The server provides the hardware and software environment for prompt analysis, generative AI models, 3D modeling, and real-time calculations. The database is a storage device for saving the generated 3D avatars and related data.

[0532] Create your own original avatar

[0533] User:

[0534] First, the user accesses a prompt input form using a web browser or a dedicated application, where they describe the characteristics of the character they want to create. For example, they enter specific characteristics such as "a samurai with a sword, wearing blue clothes, and wearing glasses."

[0535] server:

[0536] The server receives prompts sent by users. The received prompts are analyzed by a natural language processing (NLP) module. Specifically, the Python library spaCy is used to tokenize the prompt sentence and extract character features. The analyzed results are passed to a character generation AI model (e.g., StyleGAN). The model generates an original character as image data based on the prompt.

[0537] The generated character image is then converted into a 3D avatar using a 3D modeling engine (e.g., Blender), and this avatar data is stored in a database and associated with the user's identity.

[0538] Video analysis and avatar control

[0539] User:

[0540] The user selects "Avatar Control Mode" and activates the camera on their smartphone or PC, which then begins capturing video in real time.

[0541] Device:

[0542] The camera image is passed to the device's video analysis module, which uses libraries such as OpenCV and dlib to perform face recognition, pose detection, and facial expression recognition. For example, when the user smiles, that expression is detected.

[0543] The analyzed data is passed to an instruction generation means for operating the 3D avatar, which generates specific operation instructions in accordance with the user's movements and facial expressions. The generated operation instructions are then sent to a server as needed.

[0544] server:

[0545] The server updates the 3D avatar's movements and facial expressions in real time based on the received instructions. For example, if the server receives an instruction to "show a smile," the avatar's facial expression will change to a smile.

[0546] Device:

[0547] The updated 3D avatar data is sent from the server to the user's device, which then generates a new avatar image and displays it to the user, allowing the user to see in real time how their own movements and facial expressions are reflected in the avatar.

[0548] Specific examples

[0549] As a concrete example, a user inputs and sends the prompt "A samurai with a sword. He is wearing blue clothes and glasses." The server that receives this prompt analyzes the prompt using a natural language processing module (e.g., spaCy). Based on the analysis results, a character generation AI model (e.g., StyleGAN) generates an original character. The generated character is converted into a 3D avatar by a 3D modeling engine (e.g., Blender) and saved in a database.

[0550] Next, the user activates the camera in the application and selects "Avatar Operation Mode." Camera images are captured in real time and analyzed by the device's video analysis module (e.g., OpenCV or dlib). When the user smiles, their facial expression is analyzed and an instruction is sent to the server. The server updates the avatar's facial expression to a smile in real time, and the updated avatar is sent back to the user's device. The user can see how their smile is reflected in the avatar.

[0551] As described above, this system enables users to control original 3D avatars based on prompt sentences with high accuracy and in real time.

[0552] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0553] Step 1:

[0554] Entering a prompt statement

[0555] User:

[0556] The user accesses a prompt input form in a web browser or dedicated application and inputs the specific characteristics of the character. For example, they might input "a samurai with a sword, wearing blue clothes, and wearing glasses." This input triggers the process.

[0557] Input: The prompt text entered by the user

[0558] Output: Prompt text

[0559] What happens: The user uses the keyboard or touchscreen to enter the character's characteristics in text form into the designated prompt field.

[0560] Step 2:

[0561] Sending and receiving prompts

[0562] User:

[0563] After entering the prompt, press the send button.

[0564] server:

[0565] The server receives the prompt text sent by the user via an HTTP request.

[0566] Input: The prompt text sent by the user

[0567] Output: Received prompt text

[0568] Specific operation: When the user presses the submit button, the prompt text is sent to the server as an HTTP request.

[0569] Step 3:

[0570] Parsing the prompt statement

[0571] server:

[0572] The server uses a natural language processing (NLP) module to parse the received prompt sentences, specifically using the Python library spaCy to tokenize the sentences and extract keywords such as nouns and adjectives.

[0573] Input: Received prompt sentence

[0574] Output: Extracted character features

[0575] How it works: The server passes the prompt to spaCy, which performs NLP analysis to extract the character's characteristics. For example, keywords such as "sword," "samurai," "blue clothes," and "glasses" are obtained.

[0576] Step 4:

[0577] Creating an original character

[0578] server:

[0579] The server generates an original character using an AI generative model (e.g., StyleGAN) based on the extracted features, and the generated character is output as image data.

[0580] Input: Extracted character features

[0581] Output: Generated character image

[0582] Specific operation: The server inputs the extracted features into StyleGAN and generates a character image that matches the specified conditions.

[0583] Step 5:

[0584] Convert to 3D avatar and save

[0585] server:

[0586] The server passes the generated character image to a 3D modeling engine (e.g., Blender) and converts it into a 3D avatar. The generated 3D avatar data is stored in a database and associated with the user's identification information.

[0587] Input: Generated character image

[0588] Output: Saved 3D avatar data

[0589] Specific operation: The server uses Blender to convert the character image into a 3D model and saves the generated 3D model data in a database.

[0590] Step 6:

[0591] Activating the camera and capturing video

[0592] User:

[0593] The user selects "Avatar operation mode" and activates the camera on their smartphone or PC.

[0594] Device:

[0595] The camera captures video in real time and sends the video data to the device's video analysis module.

[0596] Input: Camera image

[0597] Output: Captured video data

[0598] Specific operation: The camera is activated, captures video in real time, and saves it on the device.

[0599] Step 7:

[0600] Video Analysis

[0601] Device:

[0602] The video analysis module uses OpenCV and dlib to analyze video data, which allows for face recognition, pose detection, and facial expression recognition.

[0603] Input: Captured video data

[0604] Output: Recognized user movement and facial expression data

[0605] How it works: The device analyzes the captured video data and recognizes the user's face, pose, and facial expression. For example, when the user smiles, that expression is detected.

[0606] Step 8:

[0607] Generate and send operation instructions

[0608] Device:

[0609] Based on the results of the video analysis, instructions for operating the 3D avatar are generated and sent to the server as needed.

[0610] Input: Recognized user movement and facial expression data

[0611] Output: Generated operating instructions

[0612] Specific operation: The device generates an operation instruction (e.g., "Show a smile") corresponding to the recognized movement or facial expression and sends it to the server.

[0613] Step 9:

[0614] Avatar Updates

[0615] server:

[0616] The server updates the movements and facial expressions of the 3D avatar based on the received operational instructions.

[0617] Input: Generated operation instructions

[0618] Output: Updated 3D avatar data

[0619] Specific operation: The server receives the operation instructions and changes the movements and facial expressions of the 3D avatar in real time based on them.

[0620] Step 10:

[0621] Avatar video display

[0622] Device:

[0623] The updated 3D avatar data is sent from the server to the user's device, which then generates and displays a new avatar image.

[0624] Input: Updated 3D avatar data

[0625] Output: 3D avatar image displayed

[0626] How it works: The user's device generates a new avatar image using the updated data sent from the server and displays it on the screen. The user can then check how their own movements and facial expressions are reflected in the avatar.

[0627] (Application example 1)

[0628] 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."

[0629] In conventional virtual stores, it was difficult for users to have a shopping experience similar to that in the real world. In particular, users could not interact in the virtual space with their own movements and facial expressions reflected in real time. As a result, the user experience in virtual stores was not sufficiently improved. In addition, access to detailed information about other users and products in the store was often limited, making it difficult to achieve an effective shopping experience.

[0630] 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.

[0631] In this invention, the server includes a generation means for generating an original character based on a prompt input by the user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing the user's camera image in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, and a communication means for enabling the user to interact with other users and products using the avatar in the virtual store. This allows the user to enjoy interactions in the virtual store while having their own movements and expressions reflected in real time.

[0632] 1. A "prompt" is a text entry field where users can specifically describe the characteristics of the character they wish to generate.

[0633] 2. "Original Character" means a unique character generated based on a user prompt.

[0634] 3. "Generation method" refers to the method or technology for generating an original character from the prompts entered by the user.

[0635] 4. "3D avatar" is an avatar that represents an original character as a three-dimensional model.

[0636] 5. "Modeling Method" means the method or technique used to convert the generated original character into a 3D avatar.

[0637] 6. "Video analysis means" means a method or technology for analyzing a user's camera footage in real time and recognizing the user's movements and facial expressions.

[0638] 7. "Instruction generation means" means a method or technology for generating instructions for operating a 3D avatar based on the analysis results obtained by the video analysis means.

[0639] 8. "Avatar operation means" means a method or technology for operating a 3D avatar in real time based on generated operation instructions.

[0640] 9. "Communication means" refers to the network communication technology that allows users to interact with other users and products within the virtual store.

[0641] 10. "Virtual store" is a digital environment that allows users to have a shopping experience in a virtual space.

[0642] The present invention relates to a system that generates an original 3D avatar from a prompt and manipulates the avatar in real time by analyzing the user's camera image. A specific embodiment of this system is described below.

[0643] System configuration

[0644] The system of this invention consists of a user terminal and a server. The user terminal can be a smartphone or smart glasses, and the server has the function of analyzing the prompts entered by the user and generating a 3D avatar.

[0645] User Device

[0646] The user terminal uses the following hardware and software:

[0647] Hardware: Smartphones, smart glasses.

[0648] Camera: A camera to capture the user's movements and facial expressions.

[0649] Software: Video analysis module, avatar operation module.

[0650] 1. The user enters a prompt: The user accesses a prompt input form using a dedicated application. In the prompt, the user describes the characteristics of the character they want to generate. For example, they enter specific characteristics such as "a man wearing a blue shirt, smiling."

[0651] 2. Start the camera and select the operation mode: The user starts the camera and selects the "Avatar operation mode." The video from the camera is captured in real time and sent to the video analysis module.

[0652] server

[0653] The server uses the following hardware and software.

[0654] Software: Natural language processing tools (e.g., spaCy, Google Cloud Natural Language API), 3D modeling engines (e.g., Blender, Unity 3D).

[0655] 1. Prompt analysis and 3D avatar generation: The server receives the prompt sent by the user. The received prompt is analyzed by a natural language processing (NLP) module to extract the character's characteristics. Based on this analysis, an original character that meets the specified conditions is generated. The generated character is then converted into a 3D avatar by a 3D modeling engine. The generated 3D avatar data is stored in a database and associated with the user's ID.

[0656] 2. Generation of operation instructions and avatar operation: Based on the results of the video analysis module, instructions for operating the 3D avatar in accordance with the user's movements and facial expressions are generated. These instructions are sent to the server as needed. The server updates the 3D avatar's movements and facial expressions in real time based on the received operation instructions and sends the updated avatar data to the user's device.

[0657] Specific examples

[0658] As a concrete example of use, a user types the prompt "Man in blue shirt, smiling" and submits it. The system works as follows:

[0659] 1. The user enters "Man in blue shirt, smiling" into the prompt input form and submits it.

[0660] 2. The server receives the prompt, analyzes it using natural language processing tools, and extracts the specified features.

[0661] 3. Based on the extracted features, the 3D modeling engine generates a smiling 3D avatar wearing a blue shirt.

[0662] 4. The user activates the camera and selects "Avatar Control Mode." Real-time video is captured and analyzed by the video analysis module.

[0663] 5. When the user smiles, their facial expression is analyzed and the server updates the avatar's facial expression based on the analysis results.

[0664] 6. The updated avatar data is sent to the user's device, and the avatar's facial expressions are reflected in real time.

[0665] This system allows users to enjoy interacting in a virtual store with their own movements and facial expressions reflected in real time.

[0666] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0667] Step 1:

[0668] The user enters the prompt.

[0669] Input: The user enters specific characteristics, such as "a man wearing a blue shirt, smiling," into a prompt input form in a dedicated application.

[0670] Output: The user's prompt is sent to the server.

[0671] How it works: The user accesses the prompt input screen of the application using a smartphone or PC, enters the prompt text, and presses the send button.

[0672] Step 2:

[0673] The server analyzes the prompt and generates an original character.

[0674] Input: The submitted prompt: "Man in blue shirt, smiling."

[0675] Output: Character characteristics based on the prompt (e.g. blue shirt, smiling face) and original character data based on that.

[0676] How it works: The server's natural language processing (NLP) module parses the prompt and extracts the characteristics of the specified character. A 3D modeling engine then generates an original character based on these characteristics.

[0677] Step 3:

[0678] Convert the generated original character into a 3D avatar.

[0679] Input: Character feature data.

[0680] Output: 3D avatar data.

[0681] How it works: A 3D modeling engine on the server generates a character and creates a 3D avatar. This data is stored in a database and associated with the user's ID.

[0682] Step 4:

[0683] The user activates the camera and selects the avatar operation mode.

[0684] Input: User's camera video.

[0685] Output: The camera video is sent to the video analysis module.

[0686] How it works: A user opens the application, activates the camera and selects "Avatar Control Mode." The camera captures video in real time and sends the video data to the video analysis module.

[0687] Step 5:

[0688] The video analysis module analyzes the user's movements and facial expressions.

[0689] Input: Camera footage.

[0690] Output: Analyzed movement and facial expression data.

[0691] Movement: The video analysis module uses facial recognition, pose detection, and facial expression recognition technologies to analyze the user's movements and facial expressions, and digitize the results.

[0692] Step 6:

[0693] Based on the analysis results, the instruction generation means generates an instruction to operate the 3D avatar.

[0694] Input: Analyzed movement and facial expression data.

[0695] Output: Instruction data for controlling a 3D avatar.

[0696] Movement: Based on the video analysis results, the server generates instructions to control the movements and facial expressions of the 3D avatar.

[0697] Step 7:

[0698] Operate a 3D avatar in real time based on operational instruction data.

[0699] Input: Operation instruction data.

[0700] Output: Updated 3D avatar data.

[0701] Movement: The avatar operation means controls the 3D avatar in real time based on the generated operation instructions, updating its movements and facial expressions.

[0702] Step 8:

[0703] The updated avatar data is sent to the user terminal and displayed.

[0704] Input: Updated 3D avatar data.

[0705] Output: A real-time 3D avatar displayed on the user's device.

[0706] How it works: The server sends updated 3D avatar data to the user's device, which receives the data and displays it in real time.

[0707] This allows users to see their movements and facial expressions reflected in the 3D avatar in real time, and they can also interact with other users and get detailed product information in the virtual store.

[0708] 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.

[0709] The present invention relates to a system that generates an original 3D avatar from a prompt and controls the avatar in real time by analyzing the user's camera image and recognizing their emotions. A specific embodiment of this system is described below.

[0710] Process of a program that generates an original avatar from a prompt

[0711] User:

[0712] Users access the prompt input form using a web browser or a dedicated application and describe the characteristics of the character they want to generate. For example, they might enter, "A samurai with a sword. Wears blue clothes. Wears glasses."

[0713] server:

[0714] The server receives the prompt sent by the user and analyzes it using a natural language processing (NLP) module. This analysis extracts details about the character, and the generation AI generates an original character that meets the specified conditions. The generated character is then converted into a 3D avatar through a 3D modeling engine and stored in a database.

[0715] Video analysis and avatar operation program processing

[0716] Device:

[0717] The user selects "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or PC. Images from the camera are captured in real time and sent to the video analysis module, which uses technologies such as face recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions.

[0718] Device:

[0719] Furthermore, the emotion engine uses video analysis and voice recognition technology to analyze the user's emotions. For example, if the user is smiling, it will be analyzed as expressing "joy."

[0720] Device:

[0721] Based on the results of video analysis and the emotion engine, instructions for controlling the 3D avatar are generated, including data reflecting specific movements, facial expressions, and emotions.

[0722] Device:

[0723] The generated operation instructions are sent to the server, and include data to reflect the user's movements, facial expressions, and emotions.

[0724] server:

[0725] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is sent to the user's device.

[0726] Device:

[0727] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see how their movements, facial expressions, and emotions are reflected in the avatar.

[0728] Specific examples

[0729] For example, a user inputs and sends the prompt "A samurai with a sword. He is wearing blue clothes and glasses." The server receives this prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar and saved in a database.

[0730] The user turns on the camera on their smartphone or PC and selects "avatar operation mode." Camera footage is captured in real time and analyzed by the device's video analysis module. If the user smiles, their facial expression is recognized as "happiness," and the emotion engine analyzes this emotion. The analysis results are generated as operation instructions and sent to the server. The server updates the 3D avatar's facial expressions and movements in real time and sends them to the user's device. The user can see how their smile and emotions are reflected in the avatar in real time.

[0731] The processing flow will be explained below.

[0732] Process of a program that generates an original avatar from a prompt

[0733] Step 1:

[0734] The user accesses a dedicated input form and enters the prompt for the character they want to generate, for example, "A samurai with a sword. Wears blue clothes. Wears glasses."

[0735] Step 2:

[0736] The user clicks the "Send" button to send the entered prompt to the server. The send operation is sent as an HTTP request from the client (user's terminal) to the server.

[0737] Step 3:

[0738] The server analyzes the prompt received from the user. The received prompt is input to a natural language processing (NLP) module to extract the character's characteristics. For example, keywords such as "holding a sword," "blue clothes," and "wearing glasses" are identified.

[0739] Step 4:

[0740] The server generates an original character based on the extracted features using a generation AI, which designs a character that meets the specified conditions.

[0741] Step 5:

[0742] The server then inputs the generated character into a 3D modeling engine and converts it into a 3D avatar, which is then stored in a database and associated with the user's ID.

[0743] Avatar operation processing using video analysis and emotion engine

[0744] Step 6:

[0745] The user selects "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or PC, which then captures video in real time.

[0746] Step 7:

[0747] The device sends the captured video to the video analysis module, which analyzes the user's movements and facial expressions using facial recognition, pose detection, and facial expression recognition technologies.

[0748] Step 8:

[0749] The device sends the user's facial expression data to the emotion engine, which then analyzes the user's emotions. If the user is smiling, it is recognized as expressing "happiness."

[0750] Step 9:

[0751] The device generates instructions for controlling the 3D avatar based on the results of video analysis and the emotion engine. The generated instructions include data reflecting specific movements, facial expressions, and emotions.

[0752] Step 10:

[0753] The device sends the generated operation instructions to the server, which include data to reflect the user's movements, facial expressions, and emotions.

[0754] Step 11:

[0755] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is sent to the user's device.

[0756] Step 12:

[0757] Using the received update data, the device displays a real-time updated 3D avatar image to the user, allowing the user to see how their movements, facial expressions, and emotions are reflected in the avatar.

[0758] Specific examples

[0759] For example, a user can input a prompt such as "A samurai with a sword. He is wearing blue clothes and glasses." The server then analyzes the prompt using a natural language processing module and generates an original character. The server then converts this character into a 3D avatar and stores it in a database.

[0760] The user turns on the camera on their smartphone or PC and selects "Avatar Operation Mode." Camera footage is captured in real time and analyzed by the device's video analysis module. If the user smiles, their facial expression is recognized as "happiness," and the emotion engine analyzes this emotion. The analysis results are generated as operation instructions and sent to the server. The server updates the 3D avatar's facial expressions and movements in real time and sends them to the user's device. The user can see how their smile and emotions are reflected in the avatar in real time.

[0761] Example 2

[0762] 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."

[0763] Conventional 3D avatar systems have limitations in reflecting the user's real-time movements and facial expressions, resulting in an insufficient interactive experience. Furthermore, the technology for analyzing the user's emotions and reflecting them in the avatar is immature, making it difficult to accurately express the user's intentions in the avatar. This limits the communication and entertainment experiences in virtual environments.

[0764] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0765] In this invention, the server includes a generation means for generating an original character based on a prompt input by the user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing the user's camera video in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, and an emotion analysis means for analyzing the user's emotions. This allows the user's real-time movements, facial expressions, and even emotions to be accurately reflected in the avatar, enabling a more natural and intuitive interactive experience.

[0766] The "generation means" is a function that generates an original character based on a prompt entered by the user.

[0767] "Modeling means" is a function that converts the generated character into a 3D avatar.

[0768] "Video analysis means" is a function that analyzes the user's camera footage in real time.

[0769] The "instruction generation means" is a function that generates operation instructions for operating the 3D avatar generated based on the results of analysis by the video analysis means.

[0770] The "avatar operation means" is a function for operating a 3D avatar in real time based on the generated operation instructions.

[0771] "Emotion analysis means" is a function that analyzes the user's emotions.

[0772] "Natural language processing techniques" are techniques that the generator uses to analyze the input prompt.

[0773] "Facial recognition technology" refers to the technology used by video analysis means to recognize a user's face.

[0774] "Pose detection technology" refers to technology used by the video analysis means to detect the user's pose.

[0775] "Facial expression recognition technology" refers to technology used by video analysis means to recognize a user's facial expressions.

[0776] "Speech recognition technology" is technology for recognizing language from telephone calls and voice recordings.

[0777] The present invention relates to a system that generates an original 3D avatar based on a prompt entered by a user, analyzes the user's camera image in real time to recognize emotions, and controls the avatar. Specific embodiments for carrying out the present invention are described below.

[0778] Prompt input and character generation

[0779] User:

[0780] Users access a prompt input form using a web browser or a dedicated application and describe the characteristics of the character they want to generate. For example, a prompt might be entered such as "A samurai with a sword. Wears blue clothes. Wears glasses."

[0781] server:

[0782] The server receives the prompt sent by the user and analyzes it using a natural language processing (NLP) module. This analysis extracts the character's features. A generative AI model then generates an original character based on this feature information. The generated character is then converted into a 3D avatar by a 3D modeling engine and stored in a database.

[0783] Camera activation and video analysis

[0784] User:

[0785] The user launches the dedicated application and selects "Avatar Control Mode." Next, they turn on the camera on their smartphone or PC. This camera image is captured in real time.

[0786] Device:

[0787] The captured camera footage is sent to a video analysis module, which uses facial recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions. For example, if the user raises their hand or smiles, their movements and facial expressions are analyzed.

[0788] Emotion analysis:

[0789] Furthermore, the emotion analysis engine uses video analysis and voice recognition technology to analyze the user's emotions. For example, if the user is talking happily, the emotion of "joy" is detected from the user's voice and facial expression.

[0790] Real-time avatar control

[0791] Device:

[0792] Based on the results of video and emotion analysis, instructions for operating the 3D avatar are generated. The generated instructions include data that reflects the user's movements, facial expressions, and emotions. For example, if the user is smiling, instructions are generated to reflect that smile on the avatar.

[0793] server:

[0794] The generated operation instructions are sent to the server, which receives them and updates the 3D avatar in real time. The updated avatar data is then sent to the user's device.

[0795] Device:

[0796] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see in real time how their movements, facial expressions, and emotions are reflected in the avatar.

[0797] Specific examples

[0798] For example, a user inputs and sends a prompt such as "A samurai with a sword. Wearing blue clothes. Wearing glasses." The server receives the prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar using a 3D modeling engine and saved in a database.

[0799] Next, the user turns on the camera on their smartphone or PC and selects "avatar operation mode." Camera footage is captured in real time and sent to the video analysis module. If the user smiles, their facial expression is recognized as "happiness" and analyzed by the emotion analysis engine. The analysis results are generated as operation instructions and sent to the server. The server updates the facial expressions and movements of the 3D avatar in real time, and the updated avatar data is sent to the user's device. The user can see in real time how their smile and emotions are reflected in the avatar.

[0800] In this way, the present invention realizes a system that provides a more natural and intuitive interactive experience by reflecting the user's movements and emotions in real time.

[0801] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0802] System program processing flow

[0803] Step 1: Enter the prompt and submit

[0804] Subject: User

[0805] The user accesses the prompt input form using a web browser or a dedicated application and describes the characteristics of the character they want to generate. For example, they might enter "a samurai with a sword, wearing blue clothes, and glasses." After completing the prompt, they click the "Submit" button.

[0806] Input: A prompt describing the character's characteristics

[0807] Output: The prompt sent to the server

[0808] Step 2: Parsing the prompt and generating a character

[0809] Subject: Server

[0810] The server receives prompts sent by users and analyzes them using a natural language processing (NLP) module. Through analysis, the character characteristics in the prompt (e.g., "samurai with a sword," "blue clothes," "wearing glasses") are extracted. A generative AI model generates an original character based on this characteristic information. The generated character is converted into a 3D avatar using a 3D modeling engine and stored in a database.

[0811] Input: prompt statement

[0812] Output: Analyzed character features and generated 3D avatar data

[0813] Step 3: Select avatar control mode

[0814] Subject: User

[0815] The user launches the dedicated application, selects "Avatar Control Mode," and then activates the camera on their smartphone or PC.

[0816] Input: Launch the application and select "Avatar Operation Mode"

[0817] Output: Start capturing camera video

[0818] Step 4: Capture and send camera footage

[0819] Subject: Terminal

[0820] The device captures video from the activated camera in real time and sends it to the video analysis module.

[0821] Input: Camera image

[0822] Output: Video data sent to the video analysis module

[0823] Step 5: Video analysis and recognition of movements and facial expressions

[0824] Subject: Terminal

[0825] The video analysis module analyzes camera footage using facial recognition, pose detection, and facial expression recognition technologies. For example, if a user raises their hand, this action is recognized through pose detection.

[0826] Input: Video data

[0827] Output: Analyzed motion and facial expression data

[0828] Step 6: Audio and Sentiment Analysis

[0829] Subject: Terminal

[0830] The emotion analysis engine uses video analysis results and voice recognition technology to analyze the user's emotions. For example, if a user speaks with a smile, the emotion of "joy" is detected from their voice and facial expression.

[0831] Input: Video analysis results and audio data

[0832] Output: Parsed emotion data

[0833] Step 7: Generate operating instructions

[0834] Subject: Terminal

[0835] Based on the results of the video analysis and emotion analysis, the device generates instructions for operating the 3D avatar. For example, if the user is smiling, the device generates an instruction to "make the avatar smile."

[0836] Input: Analyzed motion, facial expression, and emotion data

[0837] Output: Operation instruction data

[0838] Step 8: Sending Operation Instructions

[0839] Subject: Terminal

[0840] The generated operation instruction is sent to the server.

[0841] Input: Operation instruction data

[0842] Output: Operation instruction data sent to the server

[0843] Step 9: Real-time updates of the 3D avatar

[0844] Subject: Server

[0845] The server updates the 3D avatar in real time based on the received instructions. For example, if the user smiles, the avatar is updated to smile.

[0846] Input: Operation instruction data

[0847] Output: Updated 3D avatar data

[0848] Step 10: View the updated avatar

[0849] Subject: Terminal

[0850] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see how their movements, facial expressions, and emotions are reflected in the avatar.

[0851] Input: Updated 3D avatar data

[0852] Output: 3D avatar video displayed to the user

[0853] (Application example 2)

[0854] 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."

[0855] In modern virtual stores, user interaction is limited and considered inferior to the real-life customer service experience. This leads to a poor user experience and reduces online purchasing motivation. Furthermore, it is difficult to provide natural and engaging interactions because it is difficult to control the avatar in real time to match the user's actual facial expressions and emotions.

[0856] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0857] In this invention, the server includes a generation means for generating an original character based on a prompt input by the user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing the user's camera video in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, an emotion analysis means for analyzing the user's emotions and operating the 3D avatar based on the emotions, and an interaction means for interacting with the user in real time in the online virtual space. This enables real-time avatar operation based on the user's facial expressions and emotions, making it possible to provide a more natural and attractive customer service experience in the virtual store.

[0858] The "generation means" is a means for generating an original character based on a prompt entered by the user.

[0859] "Modeling means" refers to a means for converting the generated character into a 3D avatar.

[0860] "Video analysis means" is a means for analyzing the user's camera footage in real time.

[0861] The "instruction generation means" is a means for generating operation instructions for operating the 3D avatar generated based on the analysis results.

[0862] The "avatar operation means" is a means for operating a 3D avatar in real time based on the generated operation instructions.

[0863] The "emotion analysis means" is a means for analyzing the user's emotions and controlling the 3D avatar based on those emotions.

[0864] "Interaction means" refers to a means for interacting with users in real time within an online virtual space.

[0865] The system according to the present invention provides various means for users to interact in real time with a virtual store. The system is implemented using the following hardware and software:

[0866] First, a user accesses a virtual store using a smartphone or head-mounted display. They then launch a dedicated application and enter the characteristics of the character they want to create in a prompt input form. For example, a user might enter a prompt such as, "Tell me about wooden dining tables."

[0867] The server receives the prompt sent by the user and analyzes it using a natural language processing (NLP) module. Examples of NLP modules include widely used TensorFlow, NLTK, and Spacy. This analysis extracts character details, and a generation AI generates an original character that meets the specified criteria. This generation AI may use Blender or Unity. The generated character is then converted into a 3D avatar through a 3D modeling engine and stored in a database.

[0868] Next, the user selects the "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or head-mounted display. Video from this camera is captured in real time and analyzed by a video analysis module, which may use technologies such as OpenCV or MediaPipe. This module recognizes the user's movements and facial expressions using face recognition, pose detection, and facial expression recognition technologies.

[0869] Furthermore, the emotion analysis engine will analyze the user's emotions using video analysis and voice recognition technology. Emotion analysis may utilize Google Cloud's Emotion Recognition API. For example, if the user is smiling, it will be analyzed as expressing "joy."

[0870] Based on these analysis results, operation instructions are generated to reflect the user's movements, facial expressions, and emotions on the avatar in real time. The generated operation instructions are sent to the server as Protobuf or JSON format data. The server receives these operation instructions and updates the 3D avatar in real time. The updated avatar data is then sent back to the user's device, where it is displayed. This allows the user to see in real time how their movements, facial expressions, and emotions are being reflected on the avatar.

[0871] As a concrete example, a user inputs and sends a prompt such as "Tell me about wooden dining tables." The server receives this prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar and stored in a database. The user activates the camera on their smartphone or head-mounted display and selects "Avatar Operation Mode." Camera footage is captured in real time and analyzed by the device's video analysis module. If the user smiles, their facial expression is recognized as "happiness," and the emotion engine analyzes this emotion. The analysis results are generated as operation instructions and sent to the server. The server updates the 3D avatar's facial expressions and movements in real time and sends them to the user's device. The user can see in real time how their smile and emotions are reflected in the avatar.

[0872] In this way, the present invention can provide users with natural and engaging interactions in virtual environments.

[0873] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0874] Step 1:

[0875] The user launches the dedicated application, accesses the prompt input form, and describes the characteristics of the character they want to generate. For example, they might enter, "Tell me about wooden dining tables." This prompt becomes the input data.

[0876] Step 2:

[0877] The server receives prompts sent by users and analyzes them using a natural language processing (NLP) module. The NLP module analyzes the input text and extracts the character's characteristics and attributes. The generative AI model outputs detailed data for characters that meet the specified conditions.

[0878] Step 3:

[0879] The server generates an original character that meets the specified conditions from the analyzed prompts using a generative AI model, converts the character into a 3D avatar using a 3D modeling engine such as Blender or Unity, and stores the 3D avatar data in a database.

[0880] Step 4:

[0881] The user selects the "Avatar Operation Mode" in the dedicated application and activates the camera on their smartphone or head-mounted display. Images from the camera are captured in real time, and this video data becomes input data. The device then sends this data to the video analysis module.

[0882] Step 5:

[0883] The device's video analysis module analyzes the captured video using OpenCV, MediaPipe, etc. It detects the user's movements and facial expressions using facial recognition, pose detection, and facial expression recognition technology, and outputs specific movement and facial expression data.

[0884] Step 6:

[0885] The emotion analysis engine analyzes the user's emotions from video and audio data. The emotion analysis engine uses Google Cloud's Emotion Recognition API and other tools to output emotional data from the user's facial expressions and tone of voice. For example, if the user is smiling, it will be recognized as "joy."

[0886] Step 7:

[0887] The server generates specific operational instructions for operating the 3D avatar based on the motion and emotion data sent from the device. These operational instructions are output as data in Protobuf or JSON format and received by the server.

[0888] Step 8:

[0889] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is then sent back to the user's device.

[0890] Step 9:

[0891] The user device displays the updated 3D avatar image sent from the server to the user, allowing the user to see in real time how their movements, facial expressions, and emotions are reflected in the avatar.

[0892] 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.

[0893] 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.

[0894] 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.

[0895] [Third embodiment]

[0896] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0897] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0898] 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).

[0899] 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.

[0900] 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.

[0901] 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).

[0902] 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.

[0903] 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.

[0904] 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.

[0905] 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.

[0906] 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.

[0907] 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."

[0908] The present invention relates to a system that generates an original 3D avatar from a prompt and manipulates the avatar in real time by analyzing the user's camera image. A specific embodiment of this system is described below.

[0909] Process of a program that generates an original avatar from a prompt

[0910] User:

[0911] Users access the prompt input form using a web browser or a dedicated application. In the prompt, they describe the characteristics of the character they want to generate. For example, they can enter specific characteristics such as "a samurai with a sword, wearing blue clothes, and wearing glasses."

[0912] server:

[0913] The server receives prompts sent by users. The received prompts are analyzed by a natural language processing (NLP) module to extract the character's characteristics. Based on this analysis, an original character that meets the specified conditions is generated. The generated character is then converted into a 3D avatar by a 3D modeling engine. This 3D avatar data is stored in a database and associated with the user's ID.

[0914] Video analysis and avatar operation program processing

[0915] Device:

[0916] The user selects "Avatar Operation Mode" and activates the camera on their smartphone or PC. Images from the camera are captured in real time and sent to the video analysis module, which uses technologies such as face recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions.

[0917] Device:

[0918] Based on the results of the video analysis, instructions for controlling the 3D avatar are generated in accordance with the user's movements and facial expressions. These instructions are sent to the server as needed.

[0919] server:

[0920] The server updates the 3D avatar's movements and facial expressions in real time based on the received operational instructions, and the updated avatar data is sent to the user's device.

[0921] Device:

[0922] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see how their movements and facial expressions are reflected in the avatar.

[0923] Specific examples

[0924] For example, a user inputs and sends the prompt "A samurai with a sword. He is wearing blue clothes and glasses." The server receives this prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar and saved in the database.

[0925] The user activates the camera in the application and selects "Avatar Operation Mode." Camera images are captured in real time and analyzed by the device's video analysis module. When the user smiles, their facial expression is analyzed and reflected in the 3D avatar. This operation instruction is sent to the server, which updates the avatar's facial expression in real time. The updated avatar is then sent back to the user's device, where it displays the updated results. The user can see how their smile is reflected in the avatar.

[0926] The processing flow will be explained below.

[0927] Process of a program that generates an original avatar from a prompt

[0928] Step 1:

[0929] The user accesses a dedicated input form and enters the prompts for the character they want to generate, describing specific characteristics such as "a samurai with a sword, wearing blue clothes, and wearing glasses."

[0930] Step 2:

[0931] The user clicks the "Send" button to send the entered prompt to the server. This send operation is sent as an HTTP request from the client (user's terminal) to the server.

[0932] Step 3:

[0933] The server analyzes the prompt received from the user. The received prompt is input to a natural language processing (NLP) module to extract the character's characteristics. For example, keywords such as "holding a sword," "blue clothes," and "wearing glasses" are identified.

[0934] Step 4:

[0935] The server generates an original character based on the extracted features using a generation AI, which designs a character that meets the specified conditions.

[0936] Step 5:

[0937] The server then inputs the generated character into a 3D modeling engine and converts it into a 3D avatar, which is then stored in a database and associated with the user's ID.

[0938] Video analysis and avatar operation program processing

[0939] Step 6:

[0940] The user selects "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or PC, which then captures video in real time.

[0941] Step 7:

[0942] The device sends the captured video to the video analysis module, which performs processes such as face recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions in real time.

[0943] Step 8:

[0944] The device generates instructions for operating the 3D avatar based on the results of video analysis. For example, if the user smiles, that facial expression data is generated as an instruction.

[0945] Step 9:

[0946] The device sends the generated operation instructions to the server, which include specific data for reflecting the user's movements and facial expressions.

[0947] Step 10:

[0948] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is sent to the user's device.

[0949] Step 11:

[0950] Using the received update data, the device displays a real-time updated 3D avatar image to the user, allowing the user to see how their movements and facial expressions are reflected in the avatar.

[0951] Example 1

[0952] 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."

[0953] Today, technology that allows users to generate original 3D avatars that reflect their own characteristics and control them in real time is attracting attention. However, existing technologies have difficulty efficiently and accurately performing the entire process of generating a character based on prompts and then linking it to the user's actual movements and facial expressions. This presents challenges such as a lack of real-time performance and fidelity.

[0954] 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.

[0955] In this invention, the server includes a generation means for generating an original character based on a prompt input by a user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing a user's video in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, a means for storing 3D avatar data in a database and associating it with user identification information, and a means for generating instructions based on the video capture and video analysis results and transmitting them to the server, thereby enabling a user to operate an original 3D avatar based on a prompt text with high accuracy in real time.

[0956] The "generation means" is a function for generating an original character based on a prompt entered by the user.

[0957] "Modeling means" is a function for converting the generated character into a 3D avatar.

[0958] "Video analysis means" is a function that analyzes the user's video in real time and recognizes the user's movements and facial expressions.

[0959] The "instruction generation means" is a function for generating operation instructions for operating a 3D avatar based on the results of analysis by the video analysis means.

[0960] The "avatar operation means" is a function for operating a 3D avatar in real time based on the generated operation instructions.

[0961] A "database" is a storage device for storing generated 3D avatar data and associating it with user identification information.

[0962] "Video capture" is a function that allows you to acquire video from the user's camera in real time.

[0963] "Natural language processing technology" is a technology for analyzing prompts entered by users and extracting character characteristics.

[0964] "Facial recognition technology" is a technology that detects a user's face in video and recognizes its position and features.

[0965] "Pose detection technology" is a technology that analyzes the position and movement of the user's body and detects their pose.

[0966] "Facial expression recognition technology" is a technology that analyzes a user's facial expressions and detects changes in them.

[0967] This invention relates to a system that generates an original 3D avatar from a prompt entered by a user and manipulates it in real time by analyzing the user's camera image. A specific embodiment of this system is described below.

[0968] System Configuration

[0969] This system mainly consists of a user terminal, a server, and a database. The user terminal is a device (e.g., a PC or smartphone) for running a web browser or dedicated applications. The server provides the hardware and software environment for prompt analysis, generative AI models, 3D modeling, and real-time calculations. The database is a storage device for saving the generated 3D avatars and related data.

[0970] Create your own original avatar

[0971] User:

[0972] First, the user accesses a prompt input form using a web browser or a dedicated application, where they describe the characteristics of the character they want to create. For example, they enter specific characteristics such as "a samurai with a sword, wearing blue clothes, and wearing glasses."

[0973] server:

[0974] The server receives prompts sent by users. The received prompts are analyzed by a natural language processing (NLP) module. Specifically, the Python library spaCy is used to tokenize the prompt sentence and extract character features. The analyzed results are passed to a character generation AI model (e.g., StyleGAN). The model generates an original character as image data based on the prompt.

[0975] The generated character image is then converted into a 3D avatar using a 3D modeling engine (e.g., Blender), and this avatar data is stored in a database and associated with the user's identity.

[0976] Video analysis and avatar control

[0977] User:

[0978] The user selects "Avatar Control Mode" and activates the camera on their smartphone or PC, which then begins capturing video in real time.

[0979] Device:

[0980] The camera image is passed to the device's video analysis module, which uses libraries such as OpenCV and dlib to perform face recognition, pose detection, and facial expression recognition. For example, when the user smiles, that expression is detected.

[0981] The analyzed data is passed to an instruction generation means for operating the 3D avatar, which generates specific operation instructions in accordance with the user's movements and facial expressions. The generated operation instructions are then sent to a server as needed.

[0982] server:

[0983] The server updates the 3D avatar's movements and facial expressions in real time based on the received instructions. For example, if the server receives an instruction to "show a smile," the avatar's facial expression will change to a smile.

[0984] Device:

[0985] The updated 3D avatar data is sent from the server to the user's device, which then generates a new avatar image and displays it to the user, allowing the user to see in real time how their own movements and facial expressions are reflected in the avatar.

[0986] Specific examples

[0987] As a concrete example, a user inputs and sends the prompt "A samurai with a sword. He is wearing blue clothes and glasses." The server that receives this prompt analyzes the prompt using a natural language processing module (e.g., spaCy). Based on the analysis results, a character generation AI model (e.g., StyleGAN) generates an original character. The generated character is converted into a 3D avatar by a 3D modeling engine (e.g., Blender) and saved in a database.

[0988] Next, the user activates the camera in the application and selects "Avatar Operation Mode." Camera images are captured in real time and analyzed by the device's video analysis module (e.g., OpenCV or dlib). When the user smiles, their facial expression is analyzed and an instruction is sent to the server. The server updates the avatar's facial expression to a smile in real time, and the updated avatar is sent back to the user's device. The user can see how their smile is reflected in the avatar.

[0989] As described above, this system enables users to control original 3D avatars based on prompt sentences with high accuracy and in real time.

[0990] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0991] Step 1:

[0992] Entering a prompt statement

[0993] User:

[0994] The user accesses a prompt input form in a web browser or dedicated application and inputs the specific characteristics of the character. For example, they might input "a samurai with a sword, wearing blue clothes, and wearing glasses." This input triggers the process.

[0995] Input: The prompt text entered by the user

[0996] Output: Prompt text

[0997] What happens: The user uses the keyboard or touchscreen to enter the character's characteristics in text form into the designated prompt field.

[0998] Step 2:

[0999] Sending and receiving prompts

[1000] User:

[1001] After entering the prompt, press the send button.

[1002] server:

[1003] The server receives the prompt text sent by the user via an HTTP request.

[1004] Input: The prompt text sent by the user

[1005] Output: Received prompt text

[1006] Specific operation: When the user presses the submit button, the prompt text is sent to the server as an HTTP request.

[1007] Step 3:

[1008] Parsing the prompt statement

[1009] server:

[1010] The server uses a natural language processing (NLP) module to parse the received prompt sentences, specifically using the Python library spaCy to tokenize the sentences and extract keywords such as nouns and adjectives.

[1011] Input: Received prompt sentence

[1012] Output: Extracted character features

[1013] How it works: The server passes the prompt to spaCy, which performs NLP analysis to extract the character's characteristics. For example, keywords such as "sword," "samurai," "blue clothes," and "glasses" are obtained.

[1014] Step 4:

[1015] Creating an original character

[1016] server:

[1017] The server generates an original character using an AI generative model (e.g., StyleGAN) based on the extracted features, and the generated character is output as image data.

[1018] Input: Extracted character features

[1019] Output: Generated character image

[1020] Specific operation: The server inputs the extracted features into StyleGAN and generates a character image that matches the specified conditions.

[1021] Step 5:

[1022] Convert to 3D avatar and save

[1023] server:

[1024] The server passes the generated character image to a 3D modeling engine (e.g., Blender) and converts it into a 3D avatar. The generated 3D avatar data is stored in a database and associated with the user's identification information.

[1025] Input: Generated character image

[1026] Output: Saved 3D avatar data

[1027] Specific operation: The server uses Blender to convert the character image into a 3D model and saves the generated 3D model data in a database.

[1028] Step 6:

[1029] Activating the camera and capturing video

[1030] User:

[1031] The user selects "Avatar operation mode" and activates the camera on their smartphone or PC.

[1032] Device:

[1033] The camera captures video in real time and sends the video data to the device's video analysis module.

[1034] Input: Camera image

[1035] Output: Captured video data

[1036] Specific operation: The camera is activated, captures video in real time, and saves it on the device.

[1037] Step 7:

[1038] Video Analysis

[1039] Device:

[1040] The video analysis module uses OpenCV and dlib to analyze video data, which allows for face recognition, pose detection, and facial expression recognition.

[1041] Input: Captured video data

[1042] Output: Recognized user movement and facial expression data

[1043] How it works: The device analyzes the captured video data and recognizes the user's face, pose, and facial expression. For example, when the user smiles, that expression is detected.

[1044] Step 8:

[1045] Generate and send operation instructions

[1046] Device:

[1047] Based on the results of the video analysis, instructions for operating the 3D avatar are generated and sent to the server as needed.

[1048] Input: Recognized user movement and facial expression data

[1049] Output: Generated operating instructions

[1050] Specific operation: The device generates an operation instruction (e.g., "Show a smile") corresponding to the recognized movement or facial expression and sends it to the server.

[1051] Step 9:

[1052] Avatar Updates

[1053] server:

[1054] The server updates the movements and facial expressions of the 3D avatar based on the received operational instructions.

[1055] Input: Generated operation instructions

[1056] Output: Updated 3D avatar data

[1057] Specific operation: The server receives the operation instructions and changes the movements and facial expressions of the 3D avatar in real time based on them.

[1058] Step 10:

[1059] Avatar video display

[1060] Device:

[1061] The updated 3D avatar data is sent from the server to the user's device, which then generates and displays a new avatar image.

[1062] Input: Updated 3D avatar data

[1063] Output: 3D avatar image displayed

[1064] How it works: The user's device generates a new avatar image using the updated data sent from the server and displays it on the screen. The user can then check how their own movements and facial expressions are reflected in the avatar.

[1065] (Application example 1)

[1066] 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."

[1067] In conventional virtual stores, it was difficult for users to have a shopping experience similar to that in the real world. In particular, users could not interact in the virtual space with their own movements and facial expressions reflected in real time. As a result, the user experience in virtual stores was not sufficiently improved. In addition, access to detailed information about other users and products in the store was often limited, making it difficult to achieve an effective shopping experience.

[1068] 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.

[1069] In this invention, the server includes a generation means for generating an original character based on a prompt input by the user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing the user's camera image in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, and a communication means for enabling the user to interact with other users and products using the avatar in the virtual store. This allows the user to enjoy interactions in the virtual store while having their own movements and expressions reflected in real time.

[1070] 1. A "prompt" is a text entry field where users can specifically describe the characteristics of the character they wish to generate.

[1071] 2. "Original Character" means a unique character generated based on a user prompt.

[1072] 3. "Generation method" refers to the method or technology for generating an original character from the prompts entered by the user.

[1073] 4. "3D avatar" is an avatar that represents an original character as a three-dimensional model.

[1074] 5. "Modeling Method" means the method or technique used to convert the generated original character into a 3D avatar.

[1075] 6. "Video analysis means" means a method or technology for analyzing a user's camera footage in real time and recognizing the user's movements and facial expressions.

[1076] 7. "Instruction generation means" means a method or technology for generating instructions for operating a 3D avatar based on the analysis results obtained by the video analysis means.

[1077] 8. "Avatar operation means" means a method or technology for operating a 3D avatar in real time based on generated operation instructions.

[1078] 9. "Communication means" refers to the network communication technology that allows users to interact with other users and products within the virtual store.

[1079] 10. "Virtual store" is a digital environment that allows users to have a shopping experience in a virtual space.

[1080] The present invention relates to a system that generates an original 3D avatar from a prompt and manipulates the avatar in real time by analyzing the user's camera image. A specific embodiment of this system is described below.

[1081] System configuration

[1082] The system of this invention consists of a user terminal and a server. The user terminal can be a smartphone or smart glasses, and the server has the function of analyzing the prompts entered by the user and generating a 3D avatar.

[1083] User Device

[1084] The user terminal uses the following hardware and software:

[1085] Hardware: Smartphones, smart glasses.

[1086] Camera: A camera to capture the user's movements and facial expressions.

[1087] Software: Video analysis module, avatar operation module.

[1088] 1. The user enters a prompt: The user accesses a prompt input form using a dedicated application. In the prompt, the user describes the characteristics of the character they want to generate. For example, they enter specific characteristics such as "a man wearing a blue shirt, smiling."

[1089] 2. Start the camera and select the operation mode: The user starts the camera and selects the "Avatar operation mode." The video from the camera is captured in real time and sent to the video analysis module.

[1090] server

[1091] The server uses the following hardware and software.

[1092] Software: Natural language processing tools (e.g., spaCy, Google Cloud Natural Language API), 3D modeling engines (e.g., Blender, Unity 3D).

[1093] 1. Prompt analysis and 3D avatar generation: The server receives the prompt sent by the user. The received prompt is analyzed by a natural language processing (NLP) module to extract the character's characteristics. Based on this analysis, an original character that meets the specified conditions is generated. The generated character is then converted into a 3D avatar by a 3D modeling engine. The generated 3D avatar data is stored in a database and associated with the user's ID.

[1094] 2. Generation of operation instructions and avatar operation: Based on the results of the video analysis module, instructions for operating the 3D avatar in accordance with the user's movements and facial expressions are generated. These instructions are sent to the server as needed. The server updates the 3D avatar's movements and facial expressions in real time based on the received operation instructions and sends the updated avatar data to the user's device.

[1095] Specific examples

[1096] As a concrete example of use, a user types the prompt "Man in blue shirt, smiling" and submits it. The system works as follows:

[1097] 1. The user enters "Man in blue shirt, smiling" into the prompt input form and submits it.

[1098] 2. The server receives the prompt, analyzes it using natural language processing tools, and extracts the specified features.

[1099] 3. Based on the extracted features, the 3D modeling engine generates a smiling 3D avatar wearing a blue shirt.

[1100] 4. The user activates the camera and selects "Avatar Control Mode." Real-time video is captured and analyzed by the video analysis module.

[1101] 5. When the user smiles, their facial expression is analyzed and the server updates the avatar's facial expression based on the analysis results.

[1102] 6. The updated avatar data is sent to the user's device, and the avatar's facial expressions are reflected in real time.

[1103] This system allows users to enjoy interacting in a virtual store with their own movements and facial expressions reflected in real time.

[1104] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1105] Step 1:

[1106] The user enters the prompt.

[1107] Input: The user enters specific characteristics, such as "a man wearing a blue shirt, smiling," into a prompt input form in a dedicated application.

[1108] Output: The user's prompt is sent to the server.

[1109] How it works: The user accesses the prompt input screen of the application using a smartphone or PC, enters the prompt text, and presses the send button.

[1110] Step 2:

[1111] The server analyzes the prompt and generates an original character.

[1112] Input: The submitted prompt: "Man in blue shirt, smiling."

[1113] Output: Character characteristics based on the prompt (e.g. blue shirt, smiling face) and original character data based on that.

[1114] How it works: The server's natural language processing (NLP) module parses the prompt and extracts the characteristics of the specified character. A 3D modeling engine then generates an original character based on these characteristics.

[1115] Step 3:

[1116] Convert the generated original character into a 3D avatar.

[1117] Input: Character feature data.

[1118] Output: 3D avatar data.

[1119] How it works: A 3D modeling engine on the server generates a character and creates a 3D avatar. This data is stored in a database and associated with the user's ID.

[1120] Step 4:

[1121] The user activates the camera and selects the avatar operation mode.

[1122] Input: User's camera video.

[1123] Output: The camera video is sent to the video analysis module.

[1124] How it works: A user opens the application, activates the camera and selects "Avatar Control Mode." The camera captures video in real time and sends the video data to the video analysis module.

[1125] Step 5:

[1126] The video analysis module analyzes the user's movements and facial expressions.

[1127] Input: Camera footage.

[1128] Output: Analyzed movement and facial expression data.

[1129] Movement: The video analysis module uses facial recognition, pose detection, and facial expression recognition technologies to analyze the user's movements and facial expressions, and digitize the results.

[1130] Step 6:

[1131] Based on the analysis results, the instruction generation means generates an instruction to operate the 3D avatar.

[1132] Input: Analyzed movement and facial expression data.

[1133] Output: Instruction data for controlling a 3D avatar.

[1134] Movement: Based on the video analysis results, the server generates instructions to control the movements and facial expressions of the 3D avatar.

[1135] Step 7:

[1136] Operate a 3D avatar in real time based on operational instruction data.

[1137] Input: Operation instruction data.

[1138] Output: Updated 3D avatar data.

[1139] Movement: The avatar operation means controls the 3D avatar in real time based on the generated operation instructions, updating its movements and facial expressions.

[1140] Step 8:

[1141] The updated avatar data is sent to the user terminal and displayed.

[1142] Input: Updated 3D avatar data.

[1143] Output: A real-time 3D avatar displayed on the user's device.

[1144] How it works: The server sends updated 3D avatar data to the user's device, which receives the data and displays it in real time.

[1145] This allows users to see their movements and facial expressions reflected in the 3D avatar in real time, and they can also interact with other users and get detailed product information in the virtual store.

[1146] 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.

[1147] The present invention relates to a system that generates an original 3D avatar from a prompt and controls the avatar in real time by analyzing the user's camera image and recognizing their emotions. A specific embodiment of this system is described below.

[1148] Process of a program that generates an original avatar from a prompt

[1149] User:

[1150] Users access the prompt input form using a web browser or a dedicated application and describe the characteristics of the character they want to generate. For example, they might enter, "A samurai with a sword. Wears blue clothes. Wears glasses."

[1151] server:

[1152] The server receives the prompt sent by the user and analyzes it using a natural language processing (NLP) module. This analysis extracts details about the character, and the generation AI generates an original character that meets the specified conditions. The generated character is then converted into a 3D avatar through a 3D modeling engine and stored in a database.

[1153] Video analysis and avatar operation program processing

[1154] Device:

[1155] The user selects "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or PC. Images from the camera are captured in real time and sent to the video analysis module, which uses technologies such as face recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions.

[1156] Device:

[1157] Furthermore, the emotion engine uses video analysis and voice recognition technology to analyze the user's emotions. For example, if the user is smiling, it will be analyzed as expressing "joy."

[1158] Device:

[1159] Based on the results of video analysis and the emotion engine, instructions for controlling the 3D avatar are generated, including data reflecting specific movements, facial expressions, and emotions.

[1160] Device:

[1161] The generated operation instructions are sent to the server, and include data to reflect the user's movements, facial expressions, and emotions.

[1162] server:

[1163] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is sent to the user's device.

[1164] Device:

[1165] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see how their movements, facial expressions, and emotions are reflected in the avatar.

[1166] Specific examples

[1167] For example, a user inputs and sends the prompt "A samurai with a sword. He is wearing blue clothes and glasses." The server receives this prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar and saved in a database.

[1168] The user turns on the camera on their smartphone or PC and selects "avatar operation mode." Camera footage is captured in real time and analyzed by the device's video analysis module. If the user smiles, their facial expression is recognized as "happiness," and the emotion engine analyzes this emotion. The analysis results are generated as operation instructions and sent to the server. The server updates the 3D avatar's facial expressions and movements in real time and sends them to the user's device. The user can see how their smile and emotions are reflected in the avatar in real time.

[1169] The processing flow will be explained below.

[1170] Process of a program that generates an original avatar from a prompt

[1171] Step 1:

[1172] The user accesses a dedicated input form and enters the prompt for the character they want to generate, for example, "A samurai with a sword. Wears blue clothes. Wears glasses."

[1173] Step 2:

[1174] The user clicks the "Send" button to send the entered prompt to the server. The send operation is sent as an HTTP request from the client (user's terminal) to the server.

[1175] Step 3:

[1176] The server analyzes the prompt received from the user. The received prompt is input to a natural language processing (NLP) module to extract the character's characteristics. For example, keywords such as "holding a sword," "blue clothes," and "wearing glasses" are identified.

[1177] Step 4:

[1178] The server generates an original character based on the extracted features using a generation AI, which designs a character that meets the specified conditions.

[1179] Step 5:

[1180] The server then inputs the generated character into a 3D modeling engine and converts it into a 3D avatar, which is then stored in a database and associated with the user's ID.

[1181] Avatar operation processing using video analysis and emotion engine

[1182] Step 6:

[1183] The user selects "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or PC, which then captures video in real time.

[1184] Step 7:

[1185] The device sends the captured video to the video analysis module, which analyzes the user's movements and facial expressions using facial recognition, pose detection, and facial expression recognition technologies.

[1186] Step 8:

[1187] The device sends the user's facial expression data to the emotion engine, which then analyzes the user's emotions. If the user is smiling, it is recognized as expressing "happiness."

[1188] Step 9:

[1189] The device generates instructions for controlling the 3D avatar based on the results of video analysis and the emotion engine. The generated instructions include data reflecting specific movements, facial expressions, and emotions.

[1190] Step 10:

[1191] The device sends the generated operation instructions to the server, which include data to reflect the user's movements, facial expressions, and emotions.

[1192] Step 11:

[1193] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is sent to the user's device.

[1194] Step 12:

[1195] Using the received update data, the device displays a real-time updated 3D avatar image to the user, allowing the user to see how their movements, facial expressions, and emotions are reflected in the avatar.

[1196] Specific examples

[1197] For example, a user can input a prompt such as "A samurai with a sword. He is wearing blue clothes and glasses." The server then analyzes the prompt using a natural language processing module and generates an original character. The server then converts this character into a 3D avatar and stores it in a database.

[1198] The user turns on the camera on their smartphone or PC and selects "Avatar Operation Mode." Camera footage is captured in real time and analyzed by the device's video analysis module. If the user smiles, their facial expression is recognized as "happiness," and the emotion engine analyzes this emotion. The analysis results are generated as operation instructions and sent to the server. The server updates the 3D avatar's facial expressions and movements in real time and sends them to the user's device. The user can see how their smile and emotions are reflected in the avatar in real time.

[1199] Example 2

[1200] 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."

[1201] Conventional 3D avatar systems have limitations in reflecting the user's real-time movements and facial expressions, resulting in an insufficient interactive experience. Furthermore, the technology for analyzing the user's emotions and reflecting them in the avatar is immature, making it difficult to accurately express the user's intentions in the avatar. This limits the communication and entertainment experiences in virtual environments.

[1202] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1203] In this invention, the server includes a generation means for generating an original character based on a prompt input by the user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing the user's camera video in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, and an emotion analysis means for analyzing the user's emotions. This allows the user's real-time movements, facial expressions, and even emotions to be accurately reflected in the avatar, enabling a more natural and intuitive interactive experience.

[1204] The "generation means" is a function that generates an original character based on a prompt entered by the user.

[1205] "Modeling means" is a function that converts the generated character into a 3D avatar.

[1206] "Video analysis means" is a function that analyzes the user's camera footage in real time.

[1207] The "instruction generation means" is a function that generates operation instructions for operating the 3D avatar generated based on the results of analysis by the video analysis means.

[1208] The "avatar operation means" is a function for operating a 3D avatar in real time based on the generated operation instructions.

[1209] "Emotion analysis means" is a function that analyzes the user's emotions.

[1210] "Natural language processing techniques" are techniques that the generator uses to analyze the input prompt.

[1211] "Facial recognition technology" refers to the technology used by video analysis means to recognize a user's face.

[1212] "Pose detection technology" refers to technology used by the video analysis means to detect the user's pose.

[1213] "Facial expression recognition technology" refers to technology used by video analysis means to recognize a user's facial expressions.

[1214] "Speech recognition technology" is technology for recognizing language from telephone calls and voice recordings.

[1215] The present invention relates to a system that generates an original 3D avatar based on a prompt entered by a user, analyzes the user's camera image in real time to recognize emotions, and controls the avatar. Specific embodiments for carrying out the present invention are described below.

[1216] Prompt input and character generation

[1217] User:

[1218] Users access a prompt input form using a web browser or a dedicated application and describe the characteristics of the character they want to generate. For example, a prompt might be entered such as "A samurai with a sword. Wears blue clothes. Wears glasses."

[1219] server:

[1220] The server receives the prompt sent by the user and analyzes it using a natural language processing (NLP) module. This analysis extracts the character's features. A generative AI model then generates an original character based on this feature information. The generated character is then converted into a 3D avatar by a 3D modeling engine and stored in a database.

[1221] Camera activation and video analysis

[1222] User:

[1223] The user launches the dedicated application and selects "Avatar Control Mode." Next, they turn on the camera on their smartphone or PC. This camera image is captured in real time.

[1224] Device:

[1225] The captured camera footage is sent to a video analysis module, which uses facial recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions. For example, if the user raises their hand or smiles, their movements and facial expressions are analyzed.

[1226] Emotion analysis:

[1227] Furthermore, the emotion analysis engine uses video analysis and voice recognition technology to analyze the user's emotions. For example, if the user is talking happily, the emotion of "joy" is detected from the user's voice and facial expression.

[1228] Real-time avatar control

[1229] Device:

[1230] Based on the results of video and emotion analysis, instructions for operating the 3D avatar are generated. The generated instructions include data that reflects the user's movements, facial expressions, and emotions. For example, if the user is smiling, instructions are generated to reflect that smile on the avatar.

[1231] server:

[1232] The generated operation instructions are sent to the server, which receives them and updates the 3D avatar in real time. The updated avatar data is then sent to the user's device.

[1233] Device:

[1234] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see in real time how their movements, facial expressions, and emotions are reflected in the avatar.

[1235] Specific examples

[1236] For example, a user inputs and sends a prompt such as "A samurai with a sword. Wearing blue clothes. Wearing glasses." The server receives the prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar using a 3D modeling engine and saved in a database.

[1237] Next, the user turns on the camera on their smartphone or PC and selects "avatar operation mode." Camera footage is captured in real time and sent to the video analysis module. If the user smiles, their facial expression is recognized as "happiness" and analyzed by the emotion analysis engine. The analysis results are generated as operation instructions and sent to the server. The server updates the facial expressions and movements of the 3D avatar in real time, and the updated avatar data is sent to the user's device. The user can see in real time how their smile and emotions are reflected in the avatar.

[1238] In this way, the present invention realizes a system that provides a more natural and intuitive interactive experience by reflecting the user's movements and emotions in real time.

[1239] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1240] System program processing flow

[1241] Step 1: Enter the prompt and submit

[1242] Subject: User

[1243] The user accesses the prompt input form using a web browser or a dedicated application and describes the characteristics of the character they want to generate. For example, they might enter "a samurai with a sword, wearing blue clothes, and glasses." After completing the prompt, they click the "Submit" button.

[1244] Input: A prompt describing the character's characteristics

[1245] Output: The prompt sent to the server

[1246] Step 2: Parsing the prompt and generating a character

[1247] Subject: Server

[1248] The server receives prompts sent by users and analyzes them using a natural language processing (NLP) module. Through analysis, the character characteristics in the prompt (e.g., "samurai with a sword," "blue clothes," "wearing glasses") are extracted. A generative AI model generates an original character based on this characteristic information. The generated character is converted into a 3D avatar using a 3D modeling engine and stored in a database.

[1249] Input: prompt statement

[1250] Output: Analyzed character features and generated 3D avatar data

[1251] Step 3: Select avatar control mode

[1252] Subject: User

[1253] The user launches the dedicated application, selects "Avatar Control Mode," and then activates the camera on their smartphone or PC.

[1254] Input: Launch the application and select "Avatar Operation Mode"

[1255] Output: Start capturing camera video

[1256] Step 4: Capture and send camera footage

[1257] Subject: Terminal

[1258] The device captures video from the activated camera in real time and sends it to the video analysis module.

[1259] Input: Camera image

[1260] Output: Video data sent to the video analysis module

[1261] Step 5: Video analysis and recognition of movements and facial expressions

[1262] Subject: Terminal

[1263] The video analysis module analyzes camera footage using facial recognition, pose detection, and facial expression recognition technologies. For example, if a user raises their hand, this action is recognized through pose detection.

[1264] Input: Video data

[1265] Output: Analyzed motion and facial expression data

[1266] Step 6: Audio and Sentiment Analysis

[1267] Subject: Terminal

[1268] The emotion analysis engine uses video analysis results and voice recognition technology to analyze the user's emotions. For example, if a user speaks with a smile, the emotion of "joy" is detected from their voice and facial expression.

[1269] Input: Video analysis results and audio data

[1270] Output: Parsed emotion data

[1271] Step 7: Generate operating instructions

[1272] Subject: Terminal

[1273] Based on the results of the video analysis and emotion analysis, the device generates instructions for operating the 3D avatar. For example, if the user is smiling, the device generates an instruction to "make the avatar smile."

[1274] Input: Analyzed motion, facial expression, and emotion data

[1275] Output: Operation instruction data

[1276] Step 8: Sending Operation Instructions

[1277] Subject: Terminal

[1278] The generated operation instruction is sent to the server.

[1279] Input: Operation instruction data

[1280] Output: Operation instruction data sent to the server

[1281] Step 9: Real-time updates of the 3D avatar

[1282] Subject: Server

[1283] The server updates the 3D avatar in real time based on the received instructions. For example, if the user smiles, the avatar is updated to smile.

[1284] Input: Operation instruction data

[1285] Output: Updated 3D avatar data

[1286] Step 10: View the updated avatar

[1287] Subject: Terminal

[1288] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see how their movements, facial expressions, and emotions are reflected in the avatar.

[1289] Input: Updated 3D avatar data

[1290] Output: 3D avatar video displayed to the user

[1291] (Application example 2)

[1292] 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."

[1293] In modern virtual stores, user interaction is limited and considered inferior to the real-life customer service experience. This leads to a poor user experience and reduces online purchasing motivation. Furthermore, it is difficult to provide natural and engaging interactions because it is difficult to control the avatar in real time to match the user's actual facial expressions and emotions.

[1294] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1295] In this invention, the server includes a generation means for generating an original character based on a prompt input by the user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing the user's camera video in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, an emotion analysis means for analyzing the user's emotions and operating the 3D avatar based on the emotions, and an interaction means for interacting with the user in real time in the online virtual space. This enables real-time avatar operation based on the user's facial expressions and emotions, making it possible to provide a more natural and attractive customer service experience in the virtual store.

[1296] The "generation means" is a means for generating an original character based on a prompt entered by the user.

[1297] "Modeling means" refers to a means for converting the generated character into a 3D avatar.

[1298] "Video analysis means" is a means for analyzing the user's camera footage in real time.

[1299] The "instruction generation means" is a means for generating operation instructions for operating the 3D avatar generated based on the analysis results.

[1300] The "avatar operation means" is a means for operating a 3D avatar in real time based on the generated operation instructions.

[1301] The "emotion analysis means" is a means for analyzing the user's emotions and controlling the 3D avatar based on those emotions.

[1302] "Interaction means" refers to a means for interacting with users in real time within an online virtual space.

[1303] The system according to the present invention provides various means for users to interact in real time with a virtual store. The system is implemented using the following hardware and software:

[1304] First, a user accesses a virtual store using a smartphone or head-mounted display. They then launch a dedicated application and enter the characteristics of the character they want to create in a prompt input form. For example, a user might enter a prompt such as, "Tell me about wooden dining tables."

[1305] The server receives the prompt sent by the user and analyzes it using a natural language processing (NLP) module. Examples of NLP modules include widely used TensorFlow, NLTK, and Spacy. This analysis extracts character details, and a generation AI generates an original character that meets the specified criteria. This generation AI may use Blender or Unity. The generated character is then converted into a 3D avatar through a 3D modeling engine and stored in a database.

[1306] Next, the user selects the "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or head-mounted display. Video from this camera is captured in real time and analyzed by a video analysis module, which may use technologies such as OpenCV or MediaPipe. This module recognizes the user's movements and facial expressions using face recognition, pose detection, and facial expression recognition technologies.

[1307] Furthermore, the emotion analysis engine will analyze the user's emotions using video analysis and voice recognition technology. Emotion analysis may utilize Google Cloud's Emotion Recognition API. For example, if the user is smiling, it will be analyzed as expressing "joy."

[1308] Based on these analysis results, operation instructions are generated to reflect the user's movements, facial expressions, and emotions on the avatar in real time. The generated operation instructions are sent to the server as Protobuf or JSON format data. The server receives these operation instructions and updates the 3D avatar in real time. The updated avatar data is then sent back to the user's device, where it is displayed. This allows the user to see in real time how their movements, facial expressions, and emotions are being reflected on the avatar.

[1309] As a concrete example, a user inputs and sends a prompt such as "Tell me about wooden dining tables." The server receives this prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar and stored in a database. The user activates the camera on their smartphone or head-mounted display and selects "Avatar Operation Mode." Camera footage is captured in real time and analyzed by the device's video analysis module. If the user smiles, their facial expression is recognized as "happiness," and the emotion engine analyzes this emotion. The analysis results are generated as operation instructions and sent to the server. The server updates the 3D avatar's facial expressions and movements in real time and sends them to the user's device. The user can see in real time how their smile and emotions are reflected in the avatar.

[1310] In this way, the present invention can provide users with natural and engaging interactions in virtual environments.

[1311] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1312] Step 1:

[1313] The user launches the dedicated application, accesses the prompt input form, and describes the characteristics of the character they want to generate. For example, they might enter, "Tell me about wooden dining tables." This prompt becomes the input data.

[1314] Step 2:

[1315] The server receives prompts sent by users and analyzes them using a natural language processing (NLP) module. The NLP module analyzes the input text and extracts the character's characteristics and attributes. The generative AI model outputs detailed data for characters that meet the specified conditions.

[1316] Step 3:

[1317] The server generates an original character that meets the specified conditions from the analyzed prompts using a generative AI model, converts the character into a 3D avatar using a 3D modeling engine such as Blender or Unity, and stores the 3D avatar data in a database.

[1318] Step 4:

[1319] The user selects the "Avatar Operation Mode" in the dedicated application and activates the camera on their smartphone or head-mounted display. Images from the camera are captured in real time, and this video data becomes input data. The device then sends this data to the video analysis module.

[1320] Step 5:

[1321] The device's video analysis module analyzes the captured video using OpenCV, MediaPipe, etc. It detects the user's movements and facial expressions using facial recognition, pose detection, and facial expression recognition technology, and outputs specific movement and facial expression data.

[1322] Step 6:

[1323] The emotion analysis engine analyzes the user's emotions from video and audio data. The emotion analysis engine uses Google Cloud's Emotion Recognition API and other tools to output emotional data from the user's facial expressions and tone of voice. For example, if the user is smiling, it will be recognized as "joy."

[1324] Step 7:

[1325] The server generates specific operational instructions for operating the 3D avatar based on the motion and emotion data sent from the device. These operational instructions are output as data in Protobuf or JSON format and received by the server.

[1326] Step 8:

[1327] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is then sent back to the user's device.

[1328] Step 9:

[1329] The user device displays the updated 3D avatar image sent from the server to the user, allowing the user to see in real time how their movements, facial expressions, and emotions are reflected in the avatar.

[1330] 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.

[1331] 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.

[1332] 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.

[1333] [Fourth embodiment]

[1334] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1335] 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.

[1336] 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).

[1337] 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.

[1338] 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.

[1339] 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).

[1340] 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.

[1341] 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.

[1342] 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.

[1343] 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.

[1344] 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.

[1345] 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.

[1346] 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."

[1347] The present invention relates to a system that generates an original 3D avatar from a prompt and manipulates the avatar in real time by analyzing the user's camera image. A specific embodiment of this system is described below.

[1348] Process of a program that generates an original avatar from a prompt

[1349] User:

[1350] Users access the prompt input form using a web browser or a dedicated application. In the prompt, they describe the characteristics of the character they want to generate. For example, they can enter specific characteristics such as "a samurai with a sword, wearing blue clothes, and wearing glasses."

[1351] server:

[1352] The server receives prompts sent by users. The received prompts are analyzed by a natural language processing (NLP) module to extract the character's characteristics. Based on this analysis, an original character that meets the specified conditions is generated. The generated character is then converted into a 3D avatar by a 3D modeling engine. This 3D avatar data is stored in a database and associated with the user's ID.

[1353] Video analysis and avatar operation program processing

[1354] Device:

[1355] The user selects "Avatar Operation Mode" and activates the camera on their smartphone or PC. Images from the camera are captured in real time and sent to the video analysis module, which uses technologies such as face recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions.

[1356] Device:

[1357] Based on the results of the video analysis, instructions for controlling the 3D avatar are generated in accordance with the user's movements and facial expressions. These instructions are sent to the server as needed.

[1358] server:

[1359] The server updates the 3D avatar's movements and facial expressions in real time based on the received operational instructions, and the updated avatar data is sent to the user's device.

[1360] Device:

[1361] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see how their movements and facial expressions are reflected in the avatar.

[1362] Specific examples

[1363] For example, a user inputs and sends the prompt "A samurai with a sword. He is wearing blue clothes and glasses." The server receives this prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar and saved in the database.

[1364] The user activates the camera in the application and selects "Avatar Operation Mode." Camera images are captured in real time and analyzed by the device's video analysis module. When the user smiles, their facial expression is analyzed and reflected in the 3D avatar. This operation instruction is sent to the server, which updates the avatar's facial expression in real time. The updated avatar is then sent back to the user's device, where it displays the updated results. The user can see how their smile is reflected in the avatar.

[1365] The processing flow will be explained below.

[1366] Process of a program that generates an original avatar from a prompt

[1367] Step 1:

[1368] The user accesses a dedicated input form and enters the prompts for the character they want to generate, describing specific characteristics such as "a samurai with a sword, wearing blue clothes, and wearing glasses."

[1369] Step 2:

[1370] The user clicks the "Send" button to send the entered prompt to the server. This send operation is sent as an HTTP request from the client (user's terminal) to the server.

[1371] Step 3:

[1372] The server analyzes the prompt received from the user. The received prompt is input to a natural language processing (NLP) module to extract the character's characteristics. For example, keywords such as "holding a sword," "blue clothes," and "wearing glasses" are identified.

[1373] Step 4:

[1374] The server generates an original character based on the extracted features using a generation AI, which designs a character that meets the specified conditions.

[1375] Step 5:

[1376] The server then inputs the generated character into a 3D modeling engine and converts it into a 3D avatar, which is then stored in a database and associated with the user's ID.

[1377] Video analysis and avatar operation program processing

[1378] Step 6:

[1379] The user selects "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or PC, which then captures video in real time.

[1380] Step 7:

[1381] The device sends the captured video to the video analysis module, which performs processes such as face recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions in real time.

[1382] Step 8:

[1383] The device generates instructions for operating the 3D avatar based on the results of video analysis. For example, if the user smiles, that facial expression data is generated as an instruction.

[1384] Step 9:

[1385] The device sends the generated operation instructions to the server, which include specific data for reflecting the user's movements and facial expressions.

[1386] Step 10:

[1387] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is sent to the user's device.

[1388] Step 11:

[1389] Using the received update data, the device displays a real-time updated 3D avatar image to the user, allowing the user to see how their movements and facial expressions are reflected in the avatar.

[1390] Example 1

[1391] 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."

[1392] Today, technology that allows users to generate original 3D avatars that reflect their own characteristics and control them in real time is attracting attention. However, existing technologies have difficulty efficiently and accurately performing the entire process of generating a character based on prompts and then linking it to the user's actual movements and facial expressions. This presents challenges such as a lack of real-time performance and fidelity.

[1393] 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.

[1394] In this invention, the server includes a generation means for generating an original character based on a prompt input by a user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing a user's video in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, a means for storing 3D avatar data in a database and associating it with user identification information, and a means for generating instructions based on the video capture and video analysis results and transmitting them to the server, thereby enabling a user to operate an original 3D avatar based on a prompt text with high accuracy in real time.

[1395] The "generation means" is a function for generating an original character based on a prompt entered by the user.

[1396] "Modeling means" is a function for converting the generated character into a 3D avatar.

[1397] "Video analysis means" is a function that analyzes the user's video in real time and recognizes the user's movements and facial expressions.

[1398] The "instruction generation means" is a function for generating operation instructions for operating a 3D avatar based on the results of analysis by the video analysis means.

[1399] The "avatar operation means" is a function for operating a 3D avatar in real time based on the generated operation instructions.

[1400] A "database" is a storage device for storing generated 3D avatar data and associating it with user identification information.

[1401] "Video capture" is a function that allows you to acquire video from the user's camera in real time.

[1402] "Natural language processing technology" is a technology for analyzing prompts entered by users and extracting character characteristics.

[1403] "Facial recognition technology" is a technology that detects a user's face in video and recognizes its position and features.

[1404] "Pose detection technology" is a technology that analyzes the position and movement of the user's body and detects their pose.

[1405] "Facial expression recognition technology" is a technology that analyzes a user's facial expressions and detects changes in them.

[1406] This invention relates to a system that generates an original 3D avatar from a prompt entered by a user and manipulates it in real time by analyzing the user's camera image. A specific embodiment of this system is described below.

[1407] System Configuration

[1408] This system mainly consists of a user terminal, a server, and a database. The user terminal is a device (e.g., a PC or smartphone) for running a web browser or dedicated applications. The server provides the hardware and software environment for prompt analysis, generative AI models, 3D modeling, and real-time calculations. The database is a storage device for saving the generated 3D avatars and related data.

[1409] Create your own original avatar

[1410] User:

[1411] First, the user accesses a prompt input form using a web browser or a dedicated application, where they describe the characteristics of the character they want to create. For example, they enter specific characteristics such as "a samurai with a sword, wearing blue clothes, and wearing glasses."

[1412] server:

[1413] The server receives prompts sent by users. The received prompts are analyzed by a natural language processing (NLP) module. Specifically, the Python library spaCy is used to tokenize the prompt sentence and extract character features. The analyzed results are passed to a character generation AI model (e.g., StyleGAN). The model generates an original character as image data based on the prompt.

[1414] The generated character image is then converted into a 3D avatar using a 3D modeling engine (e.g., Blender), and this avatar data is stored in a database and associated with the user's identity.

[1415] Video analysis and avatar control

[1416] User:

[1417] The user selects "Avatar Control Mode" and activates the camera on their smartphone or PC, which then begins capturing video in real time.

[1418] Device:

[1419] The camera image is passed to the device's video analysis module, which uses libraries such as OpenCV and dlib to perform face recognition, pose detection, and facial expression recognition. For example, when the user smiles, that expression is detected.

[1420] The analyzed data is passed to an instruction generation means for operating the 3D avatar, which generates specific operation instructions in accordance with the user's movements and facial expressions. The generated operation instructions are then sent to a server as needed.

[1421] server:

[1422] The server updates the 3D avatar's movements and facial expressions in real time based on the received instructions. For example, if the server receives an instruction to "show a smile," the avatar's facial expression will change to a smile.

[1423] Device:

[1424] The updated 3D avatar data is sent from the server to the user's device, which then generates a new avatar image and displays it to the user, allowing the user to see in real time how their own movements and facial expressions are reflected in the avatar.

[1425] Specific examples

[1426] As a concrete example, a user inputs and sends the prompt "A samurai with a sword. He is wearing blue clothes and glasses." The server that receives this prompt analyzes the prompt using a natural language processing module (e.g., spaCy). Based on the analysis results, a character generation AI model (e.g., StyleGAN) generates an original character. The generated character is converted into a 3D avatar by a 3D modeling engine (e.g., Blender) and saved in a database.

[1427] Next, the user activates the camera in the application and selects "Avatar Operation Mode." Camera images are captured in real time and analyzed by the device's video analysis module (e.g., OpenCV or dlib). When the user smiles, their facial expression is analyzed and an instruction is sent to the server. The server updates the avatar's facial expression to a smile in real time, and the updated avatar is sent back to the user's device. The user can see how their smile is reflected in the avatar.

[1428] As described above, this system enables users to control original 3D avatars based on prompt sentences with high accuracy and in real time.

[1429] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1430] Step 1:

[1431] Entering a prompt statement

[1432] User:

[1433] The user accesses a prompt input form in a web browser or dedicated application and inputs the specific characteristics of the character. For example, they might input "a samurai with a sword, wearing blue clothes, and wearing glasses." This input triggers the process.

[1434] Input: The prompt text entered by the user

[1435] Output: Prompt text

[1436] What happens: The user uses the keyboard or touchscreen to enter the character's characteristics in text form into the designated prompt field.

[1437] Step 2:

[1438] Sending and receiving prompts

[1439] User:

[1440] After entering the prompt, press the send button.

[1441] server:

[1442] The server receives the prompt text sent by the user via an HTTP request.

[1443] Input: The prompt text sent by the user

[1444] Output: Received prompt text

[1445] Specific operation: When the user presses the submit button, the prompt text is sent to the server as an HTTP request.

[1446] Step 3:

[1447] Parsing the prompt statement

[1448] server:

[1449] The server uses a natural language processing (NLP) module to parse the received prompt sentences, specifically using the Python library spaCy to tokenize the sentences and extract keywords such as nouns and adjectives.

[1450] Input: Received prompt sentence

[1451] Output: Extracted character features

[1452] How it works: The server passes the prompt to spaCy, which performs NLP analysis to extract the character's characteristics. For example, keywords such as "sword," "samurai," "blue clothes," and "glasses" are obtained.

[1453] Step 4:

[1454] Creating an original character

[1455] server:

[1456] The server generates an original character using an AI generative model (e.g., StyleGAN) based on the extracted features, and the generated character is output as image data.

[1457] Input: Extracted character features

[1458] Output: Generated character image

[1459] Specific operation: The server inputs the extracted features into StyleGAN and generates a character image that matches the specified conditions.

[1460] Step 5:

[1461] Convert to 3D avatar and save

[1462] server:

[1463] The server passes the generated character image to a 3D modeling engine (e.g., Blender) and converts it into a 3D avatar. The generated 3D avatar data is stored in a database and associated with the user's identification information.

[1464] Input: Generated character image

[1465] Output: Saved 3D avatar data

[1466] Specific operation: The server uses Blender to convert the character image into a 3D model and saves the generated 3D model data in a database.

[1467] Step 6:

[1468] Activating the camera and capturing video

[1469] User:

[1470] The user selects "Avatar operation mode" and activates the camera on their smartphone or PC.

[1471] Device:

[1472] The camera captures video in real time and sends the video data to the device's video analysis module.

[1473] Input: Camera image

[1474] Output: Captured video data

[1475] Specific operation: The camera is activated, captures video in real time, and saves it on the device.

[1476] Step 7:

[1477] Video Analysis

[1478] Device:

[1479] The video analysis module uses OpenCV and dlib to analyze video data, which allows for face recognition, pose detection, and facial expression recognition.

[1480] Input: Captured video data

[1481] Output: Recognized user movement and facial expression data

[1482] How it works: The device analyzes the captured video data and recognizes the user's face, pose, and facial expression. For example, when the user smiles, that expression is detected.

[1483] Step 8:

[1484] Generate and send operation instructions

[1485] Device:

[1486] Based on the results of the video analysis, instructions for operating the 3D avatar are generated and sent to the server as needed.

[1487] Input: Recognized user movement and facial expression data

[1488] Output: Generated operating instructions

[1489] Specific operation: The device generates an operation instruction (e.g., "Show a smile") corresponding to the recognized movement or facial expression and sends it to the server.

[1490] Step 9:

[1491] Avatar Updates

[1492] server:

[1493] The server updates the movements and facial expressions of the 3D avatar based on the received operational instructions.

[1494] Input: Generated operation instructions

[1495] Output: Updated 3D avatar data

[1496] Specific operation: The server receives the operation instructions and changes the movements and facial expressions of the 3D avatar in real time based on them.

[1497] Step 10:

[1498] Avatar video display

[1499] Device:

[1500] The updated 3D avatar data is sent from the server to the user's device, which then generates and displays a new avatar image.

[1501] Input: Updated 3D avatar data

[1502] Output: 3D avatar image displayed

[1503] How it works: The user's device generates a new avatar image using the updated data sent from the server and displays it on the screen. The user can then check how their own movements and facial expressions are reflected in the avatar.

[1504] (Application example 1)

[1505] 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."

[1506] In conventional virtual stores, it was difficult for users to have a shopping experience similar to that in the real world. In particular, users could not interact in the virtual space with their own movements and facial expressions reflected in real time. As a result, the user experience in virtual stores was not sufficiently improved. In addition, access to detailed information about other users and products in the store was often limited, making it difficult to achieve an effective shopping experience.

[1507] 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.

[1508] In this invention, the server includes a generation means for generating an original character based on a prompt input by the user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing the user's camera image in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, and a communication means for enabling the user to interact with other users and products using the avatar in the virtual store. This allows the user to enjoy interactions in the virtual store while having their own movements and expressions reflected in real time.

[1509] 1. A "prompt" is a text entry field where users can specifically describe the characteristics of the character they wish to generate.

[1510] 2. "Original Character" means a unique character generated based on a user prompt.

[1511] 3. "Generation method" refers to the method or technology for generating an original character from the prompts entered by the user.

[1512] 4. "3D avatar" is an avatar that represents an original character as a three-dimensional model.

[1513] 5. "Modeling Method" means the method or technique used to convert the generated original character into a 3D avatar.

[1514] 6. "Video analysis means" means a method or technology for analyzing a user's camera footage in real time and recognizing the user's movements and facial expressions.

[1515] 7. "Instruction generation means" means a method or technology for generating instructions for operating a 3D avatar based on the analysis results obtained by the video analysis means.

[1516] 8. "Avatar operation means" means a method or technology for operating a 3D avatar in real time based on generated operation instructions.

[1517] 9. "Communication means" refers to the network communication technology that allows users to interact with other users and products within the virtual store.

[1518] 10. "Virtual store" is a digital environment that allows users to have a shopping experience in a virtual space.

[1519] The present invention relates to a system that generates an original 3D avatar from a prompt and manipulates the avatar in real time by analyzing the user's camera image. A specific embodiment of this system is described below.

[1520] System configuration

[1521] The system of this invention consists of a user terminal and a server. The user terminal can be a smartphone or smart glasses, and the server has the function of analyzing the prompts entered by the user and generating a 3D avatar.

[1522] User Device

[1523] The user terminal uses the following hardware and software:

[1524] Hardware: Smartphones, smart glasses.

[1525] Camera: A camera to capture the user's movements and facial expressions.

[1526] Software: Video analysis module, avatar operation module.

[1527] 1. The user enters a prompt: The user accesses a prompt input form using a dedicated application. In the prompt, the user describes the characteristics of the character they want to generate. For example, they enter specific characteristics such as "a man wearing a blue shirt, smiling."

[1528] 2. Start the camera and select the operation mode: The user starts the camera and selects the "Avatar operation mode." The video from the camera is captured in real time and sent to the video analysis module.

[1529] server

[1530] The server uses the following hardware and software.

[1531] Software: Natural language processing tools (e.g., spaCy, Google Cloud Natural Language API), 3D modeling engines (e.g., Blender, Unity 3D).

[1532] 1. Prompt analysis and 3D avatar generation: The server receives the prompt sent by the user. The received prompt is analyzed by a natural language processing (NLP) module to extract the character's characteristics. Based on this analysis, an original character that meets the specified conditions is generated. The generated character is then converted into a 3D avatar by a 3D modeling engine. The generated 3D avatar data is stored in a database and associated with the user's ID.

[1533] 2. Generation of operation instructions and avatar operation: Based on the results of the video analysis module, instructions for operating the 3D avatar in accordance with the user's movements and facial expressions are generated. These instructions are sent to the server as needed. The server updates the 3D avatar's movements and facial expressions in real time based on the received operation instructions and sends the updated avatar data to the user's device.

[1534] Specific examples

[1535] As a concrete example of use, a user types the prompt "Man in blue shirt, smiling" and submits it. The system works as follows:

[1536] 1. The user enters "Man in blue shirt, smiling" into the prompt input form and submits it.

[1537] 2. The server receives the prompt, analyzes it using natural language processing tools, and extracts the specified features.

[1538] 3. Based on the extracted features, the 3D modeling engine generates a smiling 3D avatar wearing a blue shirt.

[1539] 4. The user activates the camera and selects "Avatar Control Mode." Real-time video is captured and analyzed by the video analysis module.

[1540] 5. When the user smiles, their facial expression is analyzed and the server updates the avatar's facial expression based on the analysis results.

[1541] 6. The updated avatar data is sent to the user's device, and the avatar's facial expressions are reflected in real time.

[1542] This system allows users to enjoy interacting in a virtual store with their own movements and facial expressions reflected in real time.

[1543] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1544] Step 1:

[1545] The user enters the prompt.

[1546] Input: The user enters specific characteristics, such as "a man wearing a blue shirt, smiling," into a prompt input form in a dedicated application.

[1547] Output: The user's prompt is sent to the server.

[1548] How it works: The user accesses the prompt input screen of the application using a smartphone or PC, enters the prompt text, and presses the send button.

[1549] Step 2:

[1550] The server analyzes the prompt and generates an original character.

[1551] Input: The submitted prompt: "Man in blue shirt, smiling."

[1552] Output: Character characteristics based on the prompt (e.g. blue shirt, smiling face) and original character data based on that.

[1553] How it works: The server's natural language processing (NLP) module parses the prompt and extracts the characteristics of the specified character. A 3D modeling engine then generates an original character based on these characteristics.

[1554] Step 3:

[1555] Convert the generated original character into a 3D avatar.

[1556] Input: Character feature data.

[1557] Output: 3D avatar data.

[1558] How it works: A 3D modeling engine on the server generates a character and creates a 3D avatar. This data is stored in a database and associated with the user's ID.

[1559] Step 4:

[1560] The user activates the camera and selects the avatar operation mode.

[1561] Input: User's camera video.

[1562] Output: The camera video is sent to the video analysis module.

[1563] How it works: A user opens the application, activates the camera and selects "Avatar Control Mode." The camera captures video in real time and sends the video data to the video analysis module.

[1564] Step 5:

[1565] The video analysis module analyzes the user's movements and facial expressions.

[1566] Input: Camera footage.

[1567] Output: Analyzed movement and facial expression data.

[1568] Movement: The video analysis module uses facial recognition, pose detection, and facial expression recognition technologies to analyze the user's movements and facial expressions, and digitize the results.

[1569] Step 6:

[1570] Based on the analysis results, the instruction generation means generates an instruction to operate the 3D avatar.

[1571] Input: Analyzed movement and facial expression data.

[1572] Output: Instruction data for controlling a 3D avatar.

[1573] Movement: Based on the video analysis results, the server generates instructions to control the movements and facial expressions of the 3D avatar.

[1574] Step 7:

[1575] Operate a 3D avatar in real time based on operational instruction data.

[1576] Input: Operation instruction data.

[1577] Output: Updated 3D avatar data.

[1578] Movement: The avatar operation means controls the 3D avatar in real time based on the generated operation instructions, updating its movements and facial expressions.

[1579] Step 8:

[1580] The updated avatar data is sent to the user terminal and displayed.

[1581] Input: Updated 3D avatar data.

[1582] Output: A real-time 3D avatar displayed on the user's device.

[1583] How it works: The server sends updated 3D avatar data to the user's device, which receives the data and displays it in real time.

[1584] This allows users to see their movements and facial expressions reflected in the 3D avatar in real time, and they can also interact with other users and get detailed product information in the virtual store.

[1585] 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.

[1586] The present invention relates to a system that generates an original 3D avatar from a prompt and controls the avatar in real time by analyzing the user's camera image and recognizing their emotions. A specific embodiment of this system is described below.

[1587] Process of a program that generates an original avatar from a prompt

[1588] User:

[1589] Users access the prompt input form using a web browser or a dedicated application and describe the characteristics of the character they want to generate. For example, they might enter, "A samurai with a sword. Wears blue clothes. Wears glasses."

[1590] server:

[1591] The server receives the prompt sent by the user and analyzes it using a natural language processing (NLP) module. This analysis extracts details about the character, and the generation AI generates an original character that meets the specified conditions. The generated character is then converted into a 3D avatar through a 3D modeling engine and stored in a database.

[1592] Video analysis and avatar operation program processing

[1593] Device:

[1594] The user selects "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or PC. Images from the camera are captured in real time and sent to the video analysis module, which uses technologies such as face recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions.

[1595] Device:

[1596] Furthermore, the emotion engine uses video analysis and voice recognition technology to analyze the user's emotions. For example, if the user is smiling, it will be analyzed as expressing "joy."

[1597] Device:

[1598] Based on the results of video analysis and the emotion engine, instructions for controlling the 3D avatar are generated, including data reflecting specific movements, facial expressions, and emotions.

[1599] Device:

[1600] The generated operation instructions are sent to the server, and include data to reflect the user's movements, facial expressions, and emotions.

[1601] server:

[1602] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is sent to the user's device.

[1603] Device:

[1604] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see how their movements, facial expressions, and emotions are reflected in the avatar.

[1605] Specific examples

[1606] For example, a user inputs and sends the prompt "A samurai with a sword. He is wearing blue clothes and glasses." The server receives this prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar and saved in a database.

[1607] The user turns on the camera on their smartphone or PC and selects "avatar operation mode." Camera footage is captured in real time and analyzed by the device's video analysis module. If the user smiles, their facial expression is recognized as "happiness," and the emotion engine analyzes this emotion. The analysis results are generated as operation instructions and sent to the server. The server updates the 3D avatar's facial expressions and movements in real time and sends them to the user's device. The user can see how their smile and emotions are reflected in the avatar in real time.

[1608] The processing flow will be explained below.

[1609] Process of a program that generates an original avatar from a prompt

[1610] Step 1:

[1611] The user accesses a dedicated input form and enters the prompt for the character they want to generate, for example, "A samurai with a sword. Wears blue clothes. Wears glasses."

[1612] Step 2:

[1613] The user clicks the "Send" button to send the entered prompt to the server. The send operation is sent as an HTTP request from the client (user's terminal) to the server.

[1614] Step 3:

[1615] The server analyzes the prompt received from the user. The received prompt is input to a natural language processing (NLP) module to extract the character's characteristics. For example, keywords such as "holding a sword," "blue clothes," and "wearing glasses" are identified.

[1616] Step 4:

[1617] The server generates an original character based on the extracted features using a generation AI, which designs a character that meets the specified conditions.

[1618] Step 5:

[1619] The server then inputs the generated character into a 3D modeling engine and converts it into a 3D avatar, which is then stored in a database and associated with the user's ID.

[1620] Avatar operation processing using video analysis and emotion engine

[1621] Step 6:

[1622] The user selects "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or PC, which then captures video in real time.

[1623] Step 7:

[1624] The device sends the captured video to the video analysis module, which analyzes the user's movements and facial expressions using facial recognition, pose detection, and facial expression recognition technologies.

[1625] Step 8:

[1626] The device sends the user's facial expression data to the emotion engine, which then analyzes the user's emotions. If the user is smiling, it is recognized as expressing "happiness."

[1627] Step 9:

[1628] The device generates instructions for controlling the 3D avatar based on the results of video analysis and the emotion engine. The generated instructions include data reflecting specific movements, facial expressions, and emotions.

[1629] Step 10:

[1630] The device sends the generated operation instructions to the server, which include data to reflect the user's movements, facial expressions, and emotions.

[1631] Step 11:

[1632] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is sent to the user's device.

[1633] Step 12:

[1634] Using the received update data, the device displays a real-time updated 3D avatar image to the user, allowing the user to see how their movements, facial expressions, and emotions are reflected in the avatar.

[1635] Specific examples

[1636] For example, a user can input a prompt such as "A samurai with a sword. He is wearing blue clothes and glasses." The server then analyzes the prompt using a natural language processing module and generates an original character. The server then converts this character into a 3D avatar and stores it in a database.

[1637] The user turns on the camera on their smartphone or PC and selects "Avatar Operation Mode." Camera footage is captured in real time and analyzed by the device's video analysis module. If the user smiles, their facial expression is recognized as "happiness," and the emotion engine analyzes this emotion. The analysis results are generated as operation instructions and sent to the server. The server updates the 3D avatar's facial expressions and movements in real time and sends them to the user's device. The user can see how their smile and emotions are reflected in the avatar in real time.

[1638] Example 2

[1639] 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."

[1640] Conventional 3D avatar systems have limitations in reflecting the user's real-time movements and facial expressions, resulting in an insufficient interactive experience. Furthermore, the technology for analyzing the user's emotions and reflecting them in the avatar is immature, making it difficult to accurately express the user's intentions in the avatar. This limits the communication and entertainment experiences in virtual environments.

[1641] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1642] In this invention, the server includes a generation means for generating an original character based on a prompt input by the user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing the user's camera video in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, and an emotion analysis means for analyzing the user's emotions. This allows the user's real-time movements, facial expressions, and even emotions to be accurately reflected in the avatar, enabling a more natural and intuitive interactive experience.

[1643] The "generation means" is a function that generates an original character based on a prompt entered by the user.

[1644] "Modeling means" is a function that converts the generated character into a 3D avatar.

[1645] "Video analysis means" is a function that analyzes the user's camera footage in real time.

[1646] The "instruction generation means" is a function that generates operation instructions for operating the 3D avatar generated based on the results of analysis by the video analysis means.

[1647] The "avatar operation means" is a function for operating a 3D avatar in real time based on the generated operation instructions.

[1648] "Emotion analysis means" is a function that analyzes the user's emotions.

[1649] "Natural language processing techniques" are techniques that the generator uses to analyze the input prompt.

[1650] "Facial recognition technology" refers to the technology used by video analysis means to recognize a user's face.

[1651] "Pose detection technology" refers to technology used by the video analysis means to detect the user's pose.

[1652] "Facial expression recognition technology" refers to technology used by video analysis means to recognize a user's facial expressions.

[1653] "Speech recognition technology" is technology for recognizing language from telephone calls and voice recordings.

[1654] The present invention relates to a system that generates an original 3D avatar based on a prompt entered by a user, analyzes the user's camera image in real time to recognize emotions, and controls the avatar. Specific embodiments for carrying out the present invention are described below.

[1655] Prompt input and character generation

[1656] User:

[1657] Users access a prompt input form using a web browser or a dedicated application and describe the characteristics of the character they want to generate. For example, a prompt might be entered such as "A samurai with a sword. Wears blue clothes. Wears glasses."

[1658] server:

[1659] The server receives the prompt sent by the user and analyzes it using a natural language processing (NLP) module. This analysis extracts the character's features. A generative AI model then generates an original character based on this feature information. The generated character is then converted into a 3D avatar by a 3D modeling engine and stored in a database.

[1660] Camera activation and video analysis

[1661] User:

[1662] The user launches the dedicated application and selects "Avatar Control Mode." Next, they turn on the camera on their smartphone or PC. This camera image is captured in real time.

[1663] Device:

[1664] The captured camera footage is sent to a video analysis module, which uses facial recognition, pose detection, and facial expression recognition to recognize the user's movements and facial expressions. For example, if the user raises their hand or smiles, their movements and facial expressions are analyzed.

[1665] Emotion analysis:

[1666] Furthermore, the emotion analysis engine uses video analysis and voice recognition technology to analyze the user's emotions. For example, if the user is talking happily, the emotion of "joy" is detected from the user's voice and facial expression.

[1667] Real-time avatar control

[1668] Device:

[1669] Based on the results of video and emotion analysis, instructions for operating the 3D avatar are generated. The generated instructions include data that reflects the user's movements, facial expressions, and emotions. For example, if the user is smiling, instructions are generated to reflect that smile on the avatar.

[1670] server:

[1671] The generated operation instructions are sent to the server, which receives them and updates the 3D avatar in real time. The updated avatar data is then sent to the user's device.

[1672] Device:

[1673] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see in real time how their movements, facial expressions, and emotions are reflected in the avatar.

[1674] Specific examples

[1675] For example, a user inputs and sends a prompt such as "A samurai with a sword. Wearing blue clothes. Wearing glasses." The server receives the prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar using a 3D modeling engine and saved in a database.

[1676] Next, the user turns on the camera on their smartphone or PC and selects "avatar operation mode." Camera footage is captured in real time and sent to the video analysis module. If the user smiles, their facial expression is recognized as "happiness" and analyzed by the emotion analysis engine. The analysis results are generated as operation instructions and sent to the server. The server updates the facial expressions and movements of the 3D avatar in real time, and the updated avatar data is sent to the user's device. The user can see in real time how their smile and emotions are reflected in the avatar.

[1677] In this way, the present invention realizes a system that provides a more natural and intuitive interactive experience by reflecting the user's movements and emotions in real time.

[1678] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1679] System program processing flow

[1680] Step 1: Enter the prompt and submit

[1681] Subject: User

[1682] The user accesses the prompt input form using a web browser or a dedicated application and describes the characteristics of the character they want to generate. For example, they might enter "a samurai with a sword, wearing blue clothes, and glasses." After completing the prompt, they click the "Submit" button.

[1683] Input: A prompt describing the character's characteristics

[1684] Output: The prompt sent to the server

[1685] Step 2: Parsing the prompt and generating a character

[1686] Subject: Server

[1687] The server receives prompts sent by users and analyzes them using a natural language processing (NLP) module. Through analysis, the character characteristics in the prompt (e.g., "samurai with a sword," "blue clothes," "wearing glasses") are extracted. A generative AI model generates an original character based on this characteristic information. The generated character is converted into a 3D avatar using a 3D modeling engine and stored in a database.

[1688] Input: prompt statement

[1689] Output: Analyzed character features and generated 3D avatar data

[1690] Step 3: Select avatar control mode

[1691] Subject: User

[1692] The user launches the dedicated application, selects "Avatar Control Mode," and then activates the camera on their smartphone or PC.

[1693] Input: Launch the application and select "Avatar Operation Mode"

[1694] Output: Start capturing camera video

[1695] Step 4: Capture and send camera footage

[1696] Subject: Terminal

[1697] The device captures video from the activated camera in real time and sends it to the video analysis module.

[1698] Input: Camera image

[1699] Output: Video data sent to the video analysis module

[1700] Step 5: Video analysis and recognition of movements and facial expressions

[1701] Subject: Terminal

[1702] The video analysis module analyzes camera footage using facial recognition, pose detection, and facial expression recognition technologies. For example, if a user raises their hand, this action is recognized through pose detection.

[1703] Input: Video data

[1704] Output: Analyzed motion and facial expression data

[1705] Step 6: Audio and Sentiment Analysis

[1706] Subject: Terminal

[1707] The emotion analysis engine uses video analysis results and voice recognition technology to analyze the user's emotions. For example, if a user speaks with a smile, the emotion of "joy" is detected from their voice and facial expression.

[1708] Input: Video analysis results and audio data

[1709] Output: Parsed emotion data

[1710] Step 7: Generate operating instructions

[1711] Subject: Terminal

[1712] Based on the results of the video analysis and emotion analysis, the device generates instructions for operating the 3D avatar. For example, if the user is smiling, the device generates an instruction to "make the avatar smile."

[1713] Input: Analyzed motion, facial expression, and emotion data

[1714] Output: Operation instruction data

[1715] Step 8: Sending Operation Instructions

[1716] Subject: Terminal

[1717] The generated operation instruction is sent to the server.

[1718] Input: Operation instruction data

[1719] Output: Operation instruction data sent to the server

[1720] Step 9: Real-time updates of the 3D avatar

[1721] Subject: Server

[1722] The server updates the 3D avatar in real time based on the received instructions. For example, if the user smiles, the avatar is updated to smile.

[1723] Input: Operation instruction data

[1724] Output: Updated 3D avatar data

[1725] Step 10: View the updated avatar

[1726] Subject: Terminal

[1727] The user device displays a real-time updated image of the 3D avatar to the user, allowing the user to see how their movements, facial expressions, and emotions are reflected in the avatar.

[1728] Input: Updated 3D avatar data

[1729] Output: 3D avatar video displayed to the user

[1730] (Application example 2)

[1731] 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."

[1732] In modern virtual stores, user interaction is limited and considered inferior to the real-life customer service experience. This leads to a poor user experience and reduces online purchasing motivation. Furthermore, it is difficult to provide natural and engaging interactions because it is difficult to control the avatar in real time to match the user's actual facial expressions and emotions.

[1733] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1734] In this invention, the server includes a generation means for generating an original character based on a prompt input by the user, a modeling means for converting the generated character into a 3D avatar, a video analysis means for analyzing the user's camera video in real time, an instruction generation means for generating operation instructions for operating the generated 3D avatar based on the analysis results, an avatar operation means for operating the 3D avatar in real time based on the generated operation instructions, an emotion analysis means for analyzing the user's emotions and operating the 3D avatar based on the emotions, and an interaction means for interacting with the user in real time in the online virtual space. This enables real-time avatar operation based on the user's facial expressions and emotions, making it possible to provide a more natural and attractive customer service experience in the virtual store.

[1735] The "generation means" is a means for generating an original character based on a prompt entered by the user.

[1736] "Modeling means" refers to a means for converting the generated character into a 3D avatar.

[1737] "Video analysis means" is a means for analyzing the user's camera footage in real time.

[1738] The "instruction generation means" is a means for generating operation instructions for operating the 3D avatar generated based on the analysis results.

[1739] The "avatar operation means" is a means for operating a 3D avatar in real time based on the generated operation instructions.

[1740] The "emotion analysis means" is a means for analyzing the user's emotions and controlling the 3D avatar based on those emotions.

[1741] "Interaction means" refers to a means for interacting with users in real time within an online virtual space.

[1742] The system according to the present invention provides various means for users to interact in real time with a virtual store. The system is implemented using the following hardware and software:

[1743] First, a user accesses a virtual store using a smartphone or head-mounted display. They then launch a dedicated application and enter the characteristics of the character they want to create in a prompt input form. For example, a user might enter a prompt such as, "Tell me about wooden dining tables."

[1744] The server receives the prompt sent by the user and analyzes it using a natural language processing (NLP) module. Examples of NLP modules include widely used TensorFlow, NLTK, and Spacy. This analysis extracts character details, and a generation AI generates an original character that meets the specified criteria. This generation AI may use Blender or Unity. The generated character is then converted into a 3D avatar through a 3D modeling engine and stored in a database.

[1745] Next, the user selects the "Avatar Control Mode" in the dedicated application and activates the camera on their smartphone or head-mounted display. Video from this camera is captured in real time and analyzed by a video analysis module, which may use technologies such as OpenCV or MediaPipe. This module recognizes the user's movements and facial expressions using face recognition, pose detection, and facial expression recognition technologies.

[1746] Furthermore, the emotion analysis engine will analyze the user's emotions using video analysis and voice recognition technology. Emotion analysis may utilize Google Cloud's Emotion Recognition API. For example, if the user is smiling, it will be analyzed as expressing "joy."

[1747] Based on these analysis results, operation instructions are generated to reflect the user's movements, facial expressions, and emotions on the avatar in real time. The generated operation instructions are sent to the server as Protobuf or JSON format data. The server receives these operation instructions and updates the 3D avatar in real time. The updated avatar data is then sent back to the user's device, where it is displayed. This allows the user to see in real time how their movements, facial expressions, and emotions are being reflected on the avatar.

[1748] As a concrete example, a user inputs and sends a prompt such as "Tell me about wooden dining tables." The server receives this prompt, analyzes it using a natural language processing module, and generates an original character. This character is then converted into a 3D avatar and stored in a database. The user activates the camera on their smartphone or head-mounted display and selects "Avatar Operation Mode." Camera footage is captured in real time and analyzed by the device's video analysis module. If the user smiles, their facial expression is recognized as "happiness," and the emotion engine analyzes this emotion. The analysis results are generated as operation instructions and sent to the server. The server updates the 3D avatar's facial expressions and movements in real time and sends them to the user's device. The user can see in real time how their smile and emotions are reflected in the avatar.

[1749] In this way, the present invention can provide users with natural and engaging interactions in virtual environments.

[1750] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1751] Step 1:

[1752] The user launches the dedicated application, accesses the prompt input form, and describes the characteristics of the character they want to generate. For example, they might enter, "Tell me about wooden dining tables." This prompt becomes the input data.

[1753] Step 2:

[1754] The server receives prompts sent by users and analyzes them using a natural language processing (NLP) module. The NLP module analyzes the input text and extracts the character's characteristics and attributes. The generative AI model outputs detailed data for characters that meet the specified conditions.

[1755] Step 3:

[1756] The server generates an original character that meets the specified conditions from the analyzed prompts using a generative AI model, converts the character into a 3D avatar using a 3D modeling engine such as Blender or Unity, and stores the 3D avatar data in a database.

[1757] Step 4:

[1758] The user selects the "Avatar Operation Mode" in the dedicated application and activates the camera on their smartphone or head-mounted display. Images from the camera are captured in real time, and this video data becomes input data. The device then sends this data to the video analysis module.

[1759] Step 5:

[1760] The device's video analysis module analyzes the captured video using OpenCV, MediaPipe, etc. It detects the user's movements and facial expressions using facial recognition, pose detection, and facial expression recognition technology, and outputs specific movement and facial expression data.

[1761] Step 6:

[1762] The emotion analysis engine analyzes the user's emotions from video and audio data. The emotion analysis engine uses Google Cloud's Emotion Recognition API and other tools to output emotional data from the user's facial expressions and tone of voice. For example, if the user is smiling, it will be recognized as "joy."

[1763] Step 7:

[1764] The server generates specific operational instructions for operating the 3D avatar based on the motion and emotion data sent from the device. These operational instructions are output as data in Protobuf or JSON format and received by the server.

[1765] Step 8:

[1766] The server updates the 3D avatar in real time based on the received operation instructions, and the updated avatar data is then sent back to the user's device.

[1767] Step 9:

[1768] The user device displays the updated 3D avatar image sent from the server to the user, allowing the user to see in real time how their movements, facial expressions, and emotions are reflected in the avatar.

[1769] 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.

[1770] 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.

[1771] 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.

[1772] 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.

[1773] 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.

[1774] 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.

[1775] 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).

[1776] 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.

[1777] 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."

[1778] 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.

[1779] 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).

[1780] 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.

[1781] 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.

[1782] 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.

[1783] 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.

[1784] 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.

[1785] 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.

[1786] 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.

[1787] 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.

[1788] 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.

[1789] 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.

[1790] The following is further disclosed regarding the above embodiment.

[1791] (Claim 1)

[1792] A generating means for generating an original character based on a prompt input by a user;

[1793] A modeling method to convert the generated character into a 3D avatar;

[1794] A video analysis means for analyzing the user's camera footage in real time;

[1795] an instruction generating means for generating operation instructions for operating the 3D avatar generated based on the analysis results;

[1796] an avatar operation means for operating a 3D avatar in real time based on the generated operation instructions;

[1797] A system including:

[1798] (Claim 2)

[1799] 10. The system of claim 1, wherein the generating means uses natural language processing techniques to parse the input prompt.

[1800] (Claim 3)

[1801] 2. The system of claim 1, wherein the video analysis means uses face recognition technology, pose detection technology, and facial expression recognition technology.

[1802] "Example 1"

[1803] (Claim 1)

[1804] A generating means for generating an original character based on a prompt input by a user;

[1805] A modeling method to convert the generated character into a 3D avatar;

[1806] A video analysis means for analyzing the user's video in real time;

[1807] an instruction generating means for generating operation instructions for operating the 3D avatar generated based on the analysis results;

[1808] an avatar operation means for operating a 3D avatar in real time based on the generated operation instructions;

[1809] means for storing the 3D avatar data in a database and associating it with a user's identification;

[1810] means for generating instructions based on the video capture and video analysis results and transmitting the instructions to a server;

[1811] A system including:

[1812] (Claim 2)

[1813] 10. The system of claim 1, wherein the generating means uses natural language processing techniques to parse the input prompt.

[1814] (Claim 3)

[1815] 2. The system of claim 1, wherein the video analysis means uses face recognition technology, pose detection technology, and facial expression recognition technology.

[1816] "Application Example 1"

[1817] (Claim 1)

[1818] A generating means for generating an original character based on a prompt input by a user;

[1819] A modeling method to convert the generated character into a 3D avatar;

[1820] A video analysis means for analyzing the user's camera footage in real time;

[1821] an instruction generating means for generating operation instructions for operating the 3D avatar generated based on the analysis results;

[1822] an avatar operation means for operating a 3D avatar in real time based on the generated operation instructions;

[1823] A means of communication that allows users to interact with other users and products using avatars within a virtual store;

[1824] A system including:

[1825] (Claim 2)

[1826] 10. The system of claim 1, wherein the generating means uses natural language processing techniques to parse the input prompt.

[1827] (Claim 3)

[1828] 2. The system of claim 1, wherein the video analysis means uses face recognition technology, pose detection technology, and facial expression recognition technology.

[1829] "Example 2: Combining Emotion Engines"

[1830] (Claim 1)

[1831] A generating means for generating an original character based on a prompt input by a user;

[1832] A modeling method to convert the generated character into a 3D avatar;

[1833] A video analysis means for analyzing the user's camera footage in real time;

[1834] an instruction generating means for generating operation instructions for operating the 3D avatar generated based on the analysis results;

[1835] an avatar operation means for operating a 3D avatar in real time based on the generated operation instructions;

[1836] An emotion analysis means for analyzing the emotion of a user;

[1837] A system including:

[1838] (Claim 2)

[1839] 10. The system of claim 1, wherein the generating means uses natural language processing techniques to parse the input prompt.

[1840] (Claim 3)

[1841] 2. The system of claim 1, wherein the video analysis means uses face recognition technology, pose detection technology, facial expression recognition technology, and voice recognition technology.

[1842] "Application example 2 when combining emotion engines"

[1843] (Claim 1)

[1844] A generating means for generating an original character based on a prompt input by a user;

[1845] A modeling method to convert the generated character into a 3D avatar;

[1846] A video analysis means for analyzing the user's camera footage in real time;

[1847] an instruction generating means for generating operation instructions for operating the 3D avatar generated based on the analysis results;

[1848] an avatar operation means for operating a 3D avatar in real time based on the generated operation instructions;

[1849] An emotion analysis means for analyzing the emotion of a user and controlling a 3D avatar based on the emotion;

[1850] an interaction means for interacting with a user in real time within an online virtual space;

[1851] A system including:

[1852] (Claim 2)

[1853] 10. The system of claim 1, wherein the generating means uses natural language processing techniques to parse the input prompt.

[1854] (Claim 3)

[1855] 2. The system of claim 1, wherein the video analysis means uses face recognition technology, pose detection technology, and facial expression recognition technology. [Explanation of symbols]

[1856] 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 generating means for generating an original character based on a prompt input by a user; A modeling method to convert the generated character into a 3D avatar; A video analysis means for analyzing the user's camera footage in real time; an instruction generating means for generating operation instructions for operating the 3D avatar generated based on the analysis results; an avatar operation means for operating a 3D avatar in real time based on the generated operation instructions; A system including:

2. 10. The system of claim 1, wherein the generating means uses natural language processing techniques to analyze the input prompt.

3. 2. The system of claim 1, wherein the video analysis means uses face recognition technology, pose detection technology, and facial expression recognition technology.

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