System

Abstract

A system is provided.SOLUTION: A system comprising: means for a user to input a desired space feature into a terminal; means for a server to analyze the input data and extract each element; means for a generating AI to generate a space scene based on the specified feature; means for the server to render the generated scene in real time and integrate with music; and means for the terminal to provide the scene and music to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Existing planetarium services often rely on fixed scenarios and limited customization options, making it difficult to meet the individual needs of many users at once. Furthermore, generating space scenes in real time and integrating music to match them is difficult, preventing users from enjoying a unique space experience tailored to their preferences. There is a need to address these limitations and instantly provide a realistic space experience with the specific characteristics desired by users. [Means for solving the problem]

[0005] This invention is a system that includes a means for a user to input desired space characteristics into a terminal, a means for a server to analyze the input data and extract each element, a means for a generation AI to generate a space scene based on the specified characteristics, a means for the server to render the generated scene in real time and integrate it with music, and a means for the terminal to provide the scene and music to the user. This system allows users to instantly enjoy a customized space experience that suits their preferences. Specifically, the user inputs information such as desired planets, climate, and music, and the server analyzes and sends this to the generation AI. The generation AI generates a realistic space scene based on the input, and the server renders it in real time and provides it, including the music, to the terminal. This allows users to experience a specific space environment as desired.

[0006] "User" refers to anyone who wishes to use the system to experience a space planetarium.

[0007] "Terminal" refers to the electronic device used by the user to provide input and display scenes and music.

[0008] "Server" refers to the central processing unit that analyzes user-entered data, sends the data to the generative AI, and transmits the real-time rendered scene to the device.

[0009] "Generative AI" refers to the artificial intelligence component that generates space scenes based on user-specified characteristics.

[0010] "Space Scene" refers to a visual representation of a virtual universe generated by generative AI and with the characteristics desired by the user.

[0011] "Rendering" refers to the process of materializing the space scene generated by the generative AI into a visual and audio representation.

[0012] "Music" refers to the soundtrack that accompanies the space scenes, an element that complements the user's experience. [Brief explanation of the drawings]

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

[0014] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

[0016] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0017] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0018] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0019] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0021] [First embodiment]

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

[0023] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0024] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0026] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0030] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0033] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0034] The present invention relates to a service that uses generation AI to instantly create the universe that a user desires. Specific embodiments for carrying out the present invention will be described below.

[0035] Receiving user input

[0036] The user uses the terminal to input desired space characteristics, such as the name of a particular planet, climatic conditions, desired background music, etc. The terminal is provided with a GUI (graphical user interface) or a voice input interface for inputting this information.

[0037] Analyzing input data

[0038] The server analyzes the input data received from the device, breaking down the information into individual elements (planets, climate, music) and preparing them for the next processing step. The server identifies these data elements and checks for missing information.

[0039] Space data generation

[0040] The AI ​​then generates a space scene with the specified characteristics based on the analyzed data sent from the server. This process combines detailed visual information about the planet, environmental depictions that reflect the effects of climate, and the specified music. The generated data is visually and acoustically consistent and of high quality.

[0041] Rendering a planetarium scene

[0042] The server renders the planetarium scene in real time based on the space data generated by the generative AI. This rendering process uses a 3D graphics engine and an audio processing engine. The scene and music are integrated to create the final data that provides the realistic space experience users expect.

[0043] Scene and music provided

[0044] The device displays pre-rendered scenes and music sent from the server to the user, allowing them to instantly enjoy a customized space experience with specific characteristics. The display on the device uses a high-resolution display and a high-quality audio system.

[0045] Specific examples

[0046] The following provides a concrete example of implementing the system according to the present invention.

[0047] For example, if a user requests "a space scene of a sandstorm on Mars with synthesizer music," the following process is performed:

[0048] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[0049] 2. The server receives this and extracts the planet "Mars", the climate "sandstorm", and the music "synthesizer music".

[0050] 3. Based on this data, a generative AI generates a space scene including the Martian landscape and sandstorms, and integrates synthesizer music.

[0051] 4. The server renders this scene in real time to create the final data.

[0052] 5. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[0053] In this way, the present invention can provide a real-time space experience that is tailored to the user's individual needs.

[0054] The processing flow will be explained below.

[0055] Step 1:

[0056] The user uses the device to input desired space characteristics, such as "Mars," "sandstorm," or "synthesizer music," and the device receives this input and transmits it directly to the server.

[0057] Step 2:

[0058] The server analyzes the input data received from the user. The server breaks down the input data into modules such as "planets," "climate," and "music," and identifies each element. For example, "planets" contains information such as "Mars," "climate" contains information such as "sandstorms," ​​and "music" contains information such as "synthesizer music."

[0059] Step 3:

[0060] The server sends the analyzed data to the generation AI, which includes information about the planet, climate, and music specified by the user.

[0061] Step 4:

[0062] The AI ​​generator generates a specific space scene based on the data received from the server. For example, it integrates the red surface of Mars, sandstorm visual effects, and synthesizer music. The generated space scene data is of high visual and acoustic quality.

[0063] Step 5:

[0064] The server receives the generated space scene data and processes it for real-time rendering, using a 3D graphics engine and a sound engine to create a visual and audio representation.

[0065] Step 6:

[0066] The server transmits the rendered scene and music data to the device in real time, and this information is the final data for the user to enjoy a customized space experience.

[0067] Step 7:

[0068] The device displays the scene and music data sent from the server, using a high-resolution display and a high-quality audio system to provide users with a realistic space experience, allowing them to instantly experience the specific space environment they desire.

[0069] In this way, each step of the program works together to create a customized space planetarium experience based on the user's individual requirements.

[0070] Example 1

[0071] 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."

[0072] Conventional space experience systems lacked the ability to customize to the user's preferences, and the generated scenes and music relied on fixed templates, making it difficult to meet the needs of individual users. Furthermore, providing high-quality scenes and music in real time required a great deal of manual work and complex settings, which compromised the user experience. Therefore, there was a need for a system that allowed users to easily input their desired features and enjoy a high-quality space experience customized in real time.

[0073] 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.

[0074] In this invention, the server includes means for a user to input desired space characteristics into a terminal, means for the server to analyze the input data and extract each element, means for a generation AI to generate a space scene based on the specified characteristics, means for the server to render the generated scene in real time and integrate it with music, and means for the terminal to provide the scene and music to the user, thereby making it possible to provide a visually and acoustically consistent, high-quality space experience in real time based on the specific characteristics input by the user.

[0075] A "user" is a person who uses the system and inputs desired characteristics of the universe into a terminal.

[0076] The "terminal" is a device that allows the user to input desired space characteristics and display the generated scenes and music.

[0077] The "server" is a central processing unit that receives input data from users, analyzes it, generates space scenes using generative AI, and renders them in real time.

[0078] "Generative AI" is an artificial intelligence model that generates space scenes with specified characteristics based on analyzed data sent from the server.

[0079] "Input data" refers to information about desired characteristics of the universe that is input by a user using a terminal.

[0080] "Analysis" is the process in which the server breaks down input data into individual elements and extracts the necessary information.

[0081] A "space scene" is a visual and acoustic virtual space with specified characteristics generated by a generative AI.

[0082] "Real-time rendering" is the process of instantly visualizing generated space scenes and integrating them with sound.

[0083] "Music" is an acoustic expression that accompanies the space scene desired by the user, and is generated by generative AI.

[0084] A "high resolution display" is a display device on which the terminal displays the generated space scene at high resolution.

[0085] A "high quality audio system" is an audio device that allows a terminal to play music generated by the terminal with high quality sound.

[0086] The present invention relates to a service that uses generation AI to instantly create the universe that a user desires. Specific embodiments for carrying out the present invention will be described below.

[0087] Receiving user input

[0088] The user uses the terminal to input the desired space characteristics. The terminal is provided with a GUI (graphical user interface) or a voice input interface for inputting this information. Specifically, a screen is displayed where the user can input characteristics such as "Mars," "sandstorm," and "synthesizer music" using a keyboard or voice input.

[0089] Analyzing input data

[0090] The server analyzes the input data received from the terminal. This involves breaking down the input data into individual elements such as planets, climate, and music, and organizing each piece of data. Specifically, the server uses natural language processing (NLP) algorithms to analyze the text of the input data and extract each element. For example, the NLTK library in Python is used as the natural language processing technology to identify the word "Mars" as a planet, "sandstorm" as a climate, and "synthesizer music" as music.

[0091] Space data generation

[0092] The generative AI generates space scenes with specified characteristics based on the analyzed data sent from the server. Specifically, it uses a generative AI GAN (Generative Adversarial Network) model to generate detailed visuals of the Martian surface and add the dynamic effect of a sandstorm. The generative AI also uses a music generation algorithm to generate specified synthesizer music. The generative AI performs these generation processes using the Python (registered trademark)-based TENSORFLOW (registered trademark) library.

[0093] Rendering a planetarium scene

[0094] The server renders the planetarium scene in real time using space data generated by generative AI, using 3D graphics engines such as Unity or Unreal Engine and audio processing engines such as FMOD or Wwise, enabling the real-time simulation of a Martian dust storm to be synchronized with the synthesized music.

[0095] Scene and music provided

[0096] The device displays the rendered scene and music sent from the server to the user, allowing the user to instantly enjoy a customized space experience with specific characteristics. Specifically, the device displays a Martian dust storm scene on a high-resolution display, while simultaneously playing synthesized music through high-quality speakers or headphones. Users can also wear a VR headset for a more immersive experience.

[0097] Specific examples

[0098] The following provides a concrete example of implementing the system according to the present invention.

[0099] For example, if the user wanted "a space scene of a dust storm on Mars with synthesizer music," the following prompt could be used:

[0100] Prompt: "Generate a space scene with a dust storm on Mars accompanied by synthesizer music."

[0101] Based on this prompt, the following processing is performed:

[0102] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[0103] 2. The server receives this and extracts the planet "Mars", the climate "sandstorm", and the music "synthesizer music".

[0104] 3. Based on this data, a generative AI generates a space scene including the Martian landscape and sandstorms, and integrates synthesizer music.

[0105] 4. The server renders this scene in real time to create the final data.

[0106] 5. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[0107] In this way, the present invention can provide a real-time space experience that is tailored to the user's individual needs.

[0108] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0109] Step 1: Receiving User Input

[0110] The user uses the terminal to input the desired space characteristics. Specifically, the user inputs characteristics such as "Mars," "sandstorm," and "synthesizer music" using a keyboard or voice input. The terminal is provided with a GUI (Graphical User Interface) or voice input interface for inputting this information.

[0111] Input: The desired space feature entered by the user into the device (Mars, sandstorm, synthesizer music)

[0112] Output: Saved as input data on the terminal

[0113] Step 2: Analyze the input data

[0114] The server analyzes the input data received from the device. Specifically, it uses a natural language processing (NLP) algorithm to break down the input data into individual elements (planet, climate, music) and identify each of them. The server uses Python's NLTK library to analyze the input text data and extract "Mars" as a planet, "sandstorm" as a climate, and "synthesizer music" as music.

[0115] Input: User input data sent from the device to the server

[0116] Output: Analyzed element data (planet: Mars, climate: sandstorm, music: synthesizer music)

[0117] Step 3: Generating space data

[0118] The generative AI generates a space scene with specified characteristics based on the analyzed data sent from the server. Specifically, it uses a generative adversarial network (GAN) model to generate detailed visuals of the Martian surface and add the dynamic effect of a sandstorm. The generative AI also uses a music generation algorithm to generate specified synthesizer music. The generative AI performs these generation processes using the Python-based TensorFlow library.

[0119] Input: Analyzed element data (planet: Mars, climate: sandstorm, music: synthesizer music)

[0120] Output: Generated space scene data and synthesizer music data

[0121] Step 4: Rendering the planetarium scene

[0122] The server renders planetarium scenes in real time based on space data generated by generative AI. Specifically, it uses 3D graphics engines such as Unity or Unreal Engine to render the visual scenes, while simultaneously integrating music generated using audio processing engines such as FMOD or Wwise. This allows for the real-time simulation of a Martian dust storm to be synchronized with the synthesized music.

[0123] Input: Generated space scene data and synthesizer music data

[0124] Output: Real-time rendered space scene and integrated music

[0125] Step 5: Provide the scene and music

[0126] The device displays the rendered scene and music sent from the server to the user. Specifically, the device displays the Martian dust storm scene on a high-resolution display and plays the synthesized music through high-quality speakers or headphones. This allows the user to instantly enjoy a customized space experience with specific characteristics. Users can also wear a VR headset for a more immersive experience.

[0127] Input: Real-time rendered space scene and integrated music

[0128] Output: A customized space experience displayed on your device

[0129] (Application example 1)

[0130] 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."

[0131] Conventional virtual store systems have been unable to provide an immersive shopping experience, making it difficult for users to enjoy shopping in a virtual universe customized to their preferences. Furthermore, due to a lack of technology to generate customized spaces in real time and the insufficient ability to quickly render the generated scenes, they have been unable to achieve the realistic experience users expect.

[0132] 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.

[0133] In this invention, the server includes means for a user to input desired space characteristics into a terminal, means for extracting each element, means having a generative AI for generating a space scene based on the specified characteristics, means for rendering the scene in real time and integrating it with music, means for providing the scene to the user, means for generating a virtual shopping area using the generative AI model, and means for providing the virtual shopping area to the user, thereby enabling the user to enjoy a shopping experience in a virtual universe customized to their preferences and wishes.

[0134] "User" means any person who uses the System to experience and interact with the virtual space scene or virtual shopping area.

[0135] "Device" means the device through which a user interacts with the system, including a smartphone or head-mounted display.

[0136] "Server" refers to the central processing unit that analyzes user input data and uses generative AI to generate and render customized space scenes and virtual shopping areas.

[0137] "Generative AI" refers to artificial intelligence technology that generates customized space scenes or virtual shopping areas based on input data.

[0138] "Space scene" refers to a virtual space that visually depicts a space environment according to the user's wishes.

[0139] "Real-time rendering" refers to a technology that processes data from input to display, instantly, and provides users with visual and audio information without delay.

[0140] "Music integration" refers to the process of embedding background music into the generated virtual space.

[0141] "Virtual shopping area" refers to a digital shop where users can explore and purchase products in a virtual space.

[0142] A "prompt" refers to text input that instructs a generative AI to generate a specific output.

[0143] The present invention relates to a system for generating a customized virtual space scene or a virtual shopping area based on the characteristics desired by a user and providing the customized virtual space scene or a virtual shopping area to the user in real time. Specific embodiments for carrying out the present invention will be described below.

[0144] Hardware and Software

[0145] In this embodiment, the following hardware and software are mainly used.

[0146] Hardware: smartphone, head-mounted display (e.g., Oculus Quest), high-resolution display, sound system

[0147] Software: Python, generative AI models (e.g., GPT-4 (registered trademark), DALL-E), 3D graphics engines (e.g., Unity, Unreal Engine)

[0148] Data processing and calculation

[0149] The server performs the following data processing and calculations.

[0150] 1. Provide an interface for users to input desired space characteristics into the device. Input methods include text input, voice input, and GUI operation.

[0151] 2. The server receives the input data sent from the device and analyzes it. This analysis breaks down the input information into elements (e.g., location, atmosphere, background music) and formats them as input data for the generative AI model.

[0152] 3. Based on the analyzed data, the generation AI generates a space scene or a virtual shopping area with the specified characteristics. Here, prompts are used to give the AI ​​instructions on how to generate it.

[0153] 4. The server renders the 3D scene in real time based on the generated data, integrates it with background music, and uses a 3D graphics engine (e.g., Unity, Unreal Engine) to achieve realistic visual effects.

[0154] 5. Finally, the generated and rendered scene and music are sent to the device and provided to the user, who can then enjoy this customized virtual experience through their smartphone or head-mounted display.

[0155] Specific examples

[0156] For example, if a user wants to "explore a floating designer store in the center of the galaxy," the process would be as follows:

[0157] 1. The user types "A floating designer store at the center of the galaxy" into the device.

[0158] 2. The server receives this, analyzes it, and breaks it down into the following elements: location "Center of the Galaxy", atmosphere "Floating", store "Designer".

[0159] 3. Based on this data, the generative AI generates a space scene that includes a floating designer store at the center of the galaxy. The generative AI model uses the following prompt: "Generate the virtual universe the user desires, especially including the following features: Location: Center of the galaxy, Atmosphere: Floating, Store: Designer."

[0160] 4. The server renders this scene in real time and integrates it with background music (e.g., "Spacey Fusion").

[0161] 5. Finally, the device displays this virtual shopping area to the user, who can freely explore and purchase products.

[0162] This allows users to enjoy a shopping experience in a virtual universe that is customized to their needs.

[0163] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0164] Step 1:

[0165] The user inputs the desired characteristics of the universe into the terminal.

[0166] Input methods include text input, voice input, and GUI operation. The user can input their desired idea, such as "a floating designer store in the center of the galaxy." This becomes the input data for the program.

[0167] Step 2:

[0168] The server analyzes the input data sent from the terminal.

[0169] The server analyzes the input data and breaks it down into specific elements (e.g., location, atmosphere, store). In this example, the extracted elements are the location "center of the galaxy," the atmosphere "floating," and the store "designer." This is used to construct a prompt sentence to instruct the generative AI model.

[0170] Step 3:

[0171] A generation AI generates a space scene based on specified features.

[0172] The server sends a prompt to the generation AI, which then generates a customized space scene based on that instruction. An example of a prompt is, "Please generate the virtual universe the user desires. Please make sure it includes the following features in particular: Location: Center of the galaxy, Atmosphere: Floating feeling, Store: Designer." The 3D scene data generated by the generation AI is output.

[0173] Step 4:

[0174] The server renders the generated scenes in real time and integrates them with music.

[0175] The server receives the 3D scene data obtained from the generative AI and renders it in real time using a 3D graphics engine (e.g., Unity, Unreal Engine).Furthermore, by seamlessly integrating it with the specified background music (e.g., "Spacey Fusion"), data is generated that provides the user with a high-quality visual and audio experience.

[0176] Step 5:

[0177] The device provides scenes and music to the user.

[0178] The device receives the rendered 3D scene and background music sent from the server and presents it to the user using a high-resolution display and high-quality audio system. Users can explore the generated virtual shopping area, check detailed information about items, and make purchases via a head-mounted display or smartphone.

[0179] 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.

[0180] The present invention relates to a system that combines a service that uses generative AI to instantly create the universe that a user desires with an emotion engine that recognizes the user's emotions. Specific embodiments for carrying out the present invention will be described below.

[0181] Receiving user input

[0182] The user uses the device to input desired space characteristics, such as the name of a particular planet, weather conditions, desired background music, etc. Once the user enters this information into the device, the device transmits it to the server.

[0183] Emotion recognition by emotion engine

[0184] The emotion engine recognizes the user's emotions in real time. It analyzes the user's facial expressions, voice, or biometric signals to identify their current emotions. This emotion data is taken into account during the scene generation process by the server.

[0185] Analysis of input data and emotion data

[0186] The server analyzes the input data received from the device and the emotional data obtained from the emotion engine. The server breaks down the input data into modules such as "planets," "climate," and "music," and identifies each element. At the same time, the server adjusts the generated scene based on the emotional data.

[0187] Space data generation

[0188] The AI ​​generates a specific space scene based on the analyzed data and emotional data sent from the server. For example, if the user's emotional state is "relaxed," the AI ​​selects a calm planetary landscape and calming music. This generates a space scene that matches the emotional state.

[0189] Rendering a planetarium scene

[0190] The server renders planetarium scenes in real time using space data generated by generative AI, using a 3D graphics engine and sound engine to create a high-quality, visually and acoustically consistent presentation.

[0191] Scene and music provided

[0192] The device displays pre-rendered scenes and music data sent from the server to the user, using a high-resolution display and a high-quality audio system to provide a realistic space experience to the user.

[0193] Specific examples

[0194] The following provides a concrete example of implementing the system according to the present invention.

[0195] For example, if the user requests "a space scene with a sandstorm blowing on Mars and synthesizer music" and the current emotion is "excited," the following processing is performed.

[0196] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[0197] 2. The emotion engine analyzes the user's facial expressions and voice and recognizes that the user's emotion is "excitement."

[0198] 3. The server receives this and extracts the planet "Mars", the climate "sandstorm", the music "synthesizer music", and the emotion "excitement".

[0199] 4. Based on this data, a generative AI will integrate Martian landscapes, sandstorm visual effects, and synthesized music based on the user's emotions.

[0200] 5. The server renders this scene in real time to create the final data.

[0201] 6. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[0202] In this way, the present invention can provide a real-time space experience that is tailored to the user's individual desires and emotions.

[0203] The processing flow will be explained below.

[0204] Step 1:

[0205] The user inputs the desired space characteristics using a terminal. For example, the user may specify characteristics such as "Mars," "sandstorm," or "synthesizer music." This input data is then sent from the terminal to the server.

[0206] Step 2:

[0207] The emotion engine recognizes the user's real-time emotions. The emotion engine analyzes video data from the camera, audio data from the microphone, and biometric signals such as heart rate to identify the user's current emotions. For example, it recognizes that the user is "excited."

[0208] Step 3:

[0209] The server receives and analyzes input data sent from the device and emotion data from the emotion engine. The server breaks down the input data into modules such as "planet," "climate," and "music," and adjusts them based on the emotion data. For example, the planet may be identified as "Mars," the climate as "sandstorm," the music as "synthesized music," and the emotion as "excitement."

[0210] Step 4:

[0211] The server sends the analyzed data to the generation AI, which includes the user-specified "planet," "climate," and "music," as well as emotional information such as "excitement" obtained from the emotion engine.

[0212] Step 5:

[0213] The AI ​​generates specific space scenes and music based on the data received from the server. The AI ​​generates space scenes including Martian landscapes and sandstorm visual effects, and selects synthesizer music that enhances excitement based on emotional data. This allows for a customized space experience that matches the user's emotions.

[0214] Step 6:

[0215] The server renders planetarium scenes in real time based on space scene data generated by generative AI, using a 3D graphics engine and sound engine to deliver high-quality visual and audio presentations.

[0216] Step 7:

[0217] The server sends the rendered scene and music data to the device, compressing it for high-speed transfer.

[0218] Step 8:

[0219] The terminal receives and displays the scene and music data sent from the server, and uses a high-resolution display and a high-quality audio system to provide users with a realistic space experience.

[0220] In this way, it is possible to instantly provide a customized space planetarium experience based on the user's individual requests and emotions. For example, if a user requests a space scene of a sandstorm on Mars and synthesizer music, and the emotion engine detects an "excited" state, it can generate and display a scene and music that responds to the user's request and emotion in real time.

[0221] Example 2

[0222] 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."

[0223] Conventional space experience generation systems have struggled to customize the experience based on the user's detailed wishes and emotions. In particular, real-time scene generation that reflects the user's emotions is challenging, and it often fails to fully meet the needs of individual users. Furthermore, integrating scenes with music and high-quality real-time rendering have also been issues.

[0224] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for a user to input desired space characteristics into a terminal, means for analyzing the input data from the terminal and extracting each element, means for an emotion engine to recognize the user's emotion and send it to the server, means for analyzing the emotion data and adjusting the scene and music, means for a generation AI to generate a space scene based on the specified characteristics and the recognized emotion, means for rendering the generated scene in real time and integrating it with music, and means for the terminal to provide the scene and music to the user. This enables a real-time customized space experience based on the user's individual wishes and emotions.

[0225] A "user" is an individual or group that uses the system and inputs the desired space characteristics and planetarium experience into the terminal.

[0226] A "terminal" is a hardware device that allows users to input information and transmits the characteristics of the universe and emotional data to a server through an interface.

[0227] The "server" is a central processing unit that receives and analyzes input data and emotional data from users, and generates and renders space scenes based on that data.

[0228] "Input data" refers to information entered by a user through a terminal, including detailed characteristics of a particular planet, weather conditions, desired background music, etc.

[0229] The "Emotion Engine" is a system that identifies a user's emotions in real time by analyzing their facial expressions, voice, and biometric signals.

[0230] "Emotion data" refers to the user's emotional state as recognized by the emotion engine, and is information that is sent to the server and taken into account when generating a scene.

[0231] "Generative AI" is an artificial intelligence technology that generates space scenes based on input data and emotional data from the server, and fine-tunes the atmosphere and music of the scene.

[0232] "Rendering" is the process of using a 3D graphics engine and sound engine to create a high-quality visual and audio representation of the space scene generated by generative AI in real time.

[0233] "Scene" refers to a visual and acoustic representation of space that the generative AI creates based on input data and emotional data to provide a planetarium experience.

[0234] The present invention relates to a system that combines a service that uses generative AI to instantly create the universe that a user desires with an emotion engine that recognizes the user's emotions. Specific embodiments for carrying out the present invention will be described below.

[0235] Receiving user input

[0236] The user uses the device to input desired space characteristics. The user interacts with the device's interface and inputs information such as the name of a specific planet, weather conditions, and desired background music. For example, the user might input "Mars," "sandstorm," and "synthesizer music." This information is packaged in JSON format and sent to the server in the next step.

[0237] Emotion recognition by emotion engine

[0238] The emotion engine recognizes the user's emotions in real time. The device's camera and microphone capture the user's facial expressions and voice, which the emotion engine analyzes to identify the user's current emotion. For example, the emotion engine analyzes the user's facial expressions and voice and identifies the emotion as "excited." This emotion data is sent to the server.

[0239] Analysis of input data and emotion data

[0240] The server analyzes the input data received from the device and the emotion data obtained from the emotion engine. The server breaks down the input data into modules such as "planets," "climate," and "music," and identifies each element. At the same time, the scene to be generated is adjusted based on the emotion data. For example, a scene template is created based on the elements "Mars," "sandstorm," and "synthesizer music" and the emotion data "excitement."

[0241] Space data generation

[0242] The generative AI generates specific space scenes based on analyzed data and emotional data sent from the server. When generating space scenes with specific characteristics, the generative AI fine-tunes them to match the user's emotions. For example, using "Mars," "sandstorm," "synthesizer music," and "excitement" as input, it generates dynamic synthesizer music and the visuals of an intense sandstorm.

[0243] Rendering a planetarium scene

[0244] The server renders planetarium scenes in real time based on space data generated by generative AI, using a 3D graphics engine (e.g., Unity, Unreal Engine) and a sound engine (e.g., FMOD, WWise) to achieve high-quality visual and audio presentations.

[0245] Scene and music provided

[0246] The terminal displays the rendered scene and music data sent from the server to the user, using a high-resolution display and a high-quality audio system to provide a realistic space experience, allowing users to enjoy a customized space planetarium experience according to their wishes.

[0247] Specific examples

[0248] The following provides a concrete example of implementing the system according to the present invention.

[0249] For example, if the user requests "a space scene with a sandstorm blowing on Mars and synthesizer music" and the current emotion is "excited," the following processing is performed.

[0250] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[0251] 2. The emotion engine analyzes the user's facial expressions and voice and recognizes that the user's emotion is "excitement."

[0252] 3. The server receives this and extracts the planet "Mars", the climate "sandstorm", the music "synthesizer music", and the emotion "excitement".

[0253] 4. Based on this data, a generative AI will integrate Martian landscapes, sandstorm visual effects, and synthesized music based on the user's emotions.

[0254] 5. The server renders this scene in real time to create the final data.

[0255] 6. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[0256] This process allows for a customized, real-time space experience based on the user's individual desires and current emotions.

[0257] Prompts and Sentence Examples

[0258] Below are some examples of prompt sentences:

[0259] Entering "Mars," "sandstorm," "synthesizer music," and "excitement" will generate related space scenes.

[0260] The above is a specific embodiment for carrying out the present invention.

[0261] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0262] Step 1:

[0263] The user inputs desired space characteristics into the device. The user enters information into the device interface, such as the name of a specific planet, weather conditions, and desired background music. The input information is packaged in JSON format. For example, if the user inputs "Mars," "sandstorm," and "synthesizer music," this information is compiled into a single JSON data and sent to the server.

[0264] Input: Information that the user types into the device (e.g., "Mars," "sandstorm," "synthesizer music")

[0265] Output: Data sent from the device to the server (JSON format)

[0266] Step 2:

[0267] The server analyzes the input data received from the device and extracts each element. Specifically, the server parses the received JSON data and separates the elements of planet, climate, and music. This process allows the input data to be classified by its components. For example, the elements "Mars," "sandstorm," and "synthesizer music" are extracted.

[0268] Input: JSON data sent from the terminal

[0269] Output: Analyzed data (planet: "Mars", climate: "sandstorm", music: "synthesizer music")

[0270] Step 3:

[0271] The emotion engine recognizes the user's emotions in real time. It uses the device's camera and microphone to capture the user's facial expressions and voice, and analyzes them to identify the user's current emotion. For example, the emotion engine analyzes the user's facial expressions and voice and recognizes them as "excited." This recognized emotion data is sent to the server.

[0272] Input: User's facial and voice data

[0273] Output: Emotion data (e.g., "excited")

[0274] Step 4:

[0275] The server analyzes the emotion data received from the emotion engine and adjusts the scene. Specifically, the server integrates the emotion data with the data extracted in step 2 to create a template to be passed to the generative AI. For example, if the emotion data is "excitement," the server dynamically adjusts the visual and music selection.

[0276] Input: Emotion data (e.g., "Excitement"), analyzed data (planet: "Mars", climate: "Sandstorm", music: "Synthesizer music")

[0277] Output: Merged template data

[0278] Step 5:

[0279] The generative AI generates space scenes based on the integrated template data. The generative AI integrates 3D graphics and music to generate space scenes based on specified characteristics and emotions. For example, using the input data "Mars," "sandstorm," "synthesizer music," and "excitement," it generates dynamic 3D scenes and synthesizer music.

[0280] Input: Integrated template data

[0281] Output: Generated space scene data

[0282] Step 6:

[0283] The server renders the generated space scene data in real time using a 3D graphics engine (e.g., Unity, Unreal Engine) and a sound engine (e.g., FMOD, WWise), providing a high-quality visual and sound experience.

[0284] Input: Generated space scene data

[0285] Output: Rendered scene graphics and audio data

[0286] Step 7:

[0287] The device provides users with pre-rendered scenes and music, which are then displayed in real time on a high-resolution display and high-quality audio system, allowing users to enjoy a customized space planetarium experience.

[0288] Input: Rendered scene graphics and audio data

[0289] Output: A visual and audio space experience provided to the user.

[0290] The above steps result in a customized, real-time space experience based on the user's individual desires and current emotions.

[0291] (Application example 2)

[0292] 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."

[0293] While conventional space experience systems allow customization based on user-defined characteristics, they are unable to reflect the user's emotions in real time. This makes it difficult for users to obtain a more realistic and emotionally relevant experience. Furthermore, it is difficult to instantly generate and display high-quality space scenes based on input data.

[0294] 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.

[0295] In this invention, the server includes: a means for a user to input desired space characteristics into a terminal; a means in which the terminal includes an emotion engine that recognizes the user's emotions; a means in which the server analyzes the input data and emotion data and extracts each element; a means in which a generation AI generates a space scene based on the specified characteristics and emotion data; a means in which the server renders the generated scene in real time and integrates it with music; and a means in which the terminal provides the scene and music to the user, thereby enabling a customized real-time space experience based on the user's emotions and wishes.

[0296] A "terminal" is a device through which a user sends input data and receives generated scenes and music visually and audibly.

[0297] The "emotion engine" is an analytical engine that analyzes the user's facial expressions, voice, or biometric signals to identify their current emotions.

[0298] The "server" is a central system that analyzes input data and emotion data sent by users and allows the generative AI to generate and render scenes based on that data.

[0299] "Generative AI" is an artificial intelligence that generates space scenes with specified characteristics based on user input data and emotional data.

[0300] "Rendering" is the process of drawing the generated space scene in real time in a visually and aurally consistent format.

[0301] "Music" is an auditory element that is selected by the generative AI based on the user's wishes and emotions and provided along with the scene.

[0302] "Real-time" refers to a time frame in which scenes are generated and presented instantly based on user input and emotional data.

[0303] "Space Scenes" are visual and auditory experiences with specific planets, climates, and other characteristics created by generative AI based on user input and emotional data.

[0304] "Data analysis" is the process by which the server examines the input data and emotion data it receives, and extracts and identifies each element.

[0305] This invention relates to a system in which a user inputs desired space characteristics, an emotion engine recognizes the user's emotions in real time, and a generation AI generates a specific space scene based on the input. Specific embodiments for implementing this invention will be described below.

[0306] System configuration

[0307] 1. Device:

[0308] A device that allows a user to input desired space characteristics, including a smartphone, tablet, or other input and display device, equipped with a camera and microphone to capture the user's facial expressions and voice.

[0309] 2. Emotion Engine:

[0310] This engine uses a camera and microphone to analyze the user's facial expressions, voice, and biometric signals to recognize the user's emotions in real time. Specifically, it can use Microsoft's facial expression recognition API and voice analysis technology.

[0311] 3. Server:

[0312] It receives and analyzes input data and emotional data sent by users, and breaks down the input data into modules such as "planets," "climate," and "music," allowing the generative AI to instantly generate space scenes.

[0313] 4. Generation AI:

[0314] It is an artificial intelligence that generates specific space scenes based on input data and emotion data. It uses adaptive generative models such as OpenAI's GPT-4 and Unity's 3D scene generation engine.

[0315] 5. Client-side software:

[0316] It provides a user interface and visually and aurally delivers music integrated with the generated space scene.

[0317] Processing flow

[0318] 1. User Input and Emotion Recognition:

[0319] The user uses the device to input the desired space characteristics, such as "Mars," "sandstorm," or "synthesizer music," while the emotion engine simultaneously captures emotion data from the user's facial expressions and voice.

[0320] 2. Data transmission and analysis:

[0321] The device sends this data to a server, which analyzes the input data, extracts planetary, climate, and musical elements, and handles emotional data together.

[0322] 3. Space scene generation:

[0323] The generative AI then uses this data to generate specific space scenes, depicting things like tranquil landscapes or violent sandstorms, and selecting music such as synthesized music based on the input data.

[0324] 4. Rendering and displaying the scene:

[0325] The server renders the generated space scene in real time, producing a high-quality scene with consistent visual and auditory quality, and sends this data to the device for display to the user.

[0326] Specific examples

[0327] If a user wants to experience a space planetarium, they can input something like "a scene of a sandstorm on Mars with synthesizer music." If the emotion engine recognizes the user's emotion as "excitement," the generative AI will select a scene of a violent sandstorm on Mars and music that evokes excitement. This allows users to enjoy a customized space experience in real time.

[0328] Prompt Sentence Examples

[0329] "Show me a space scene with a dust storm on Mars and some synthesizer music, but make sure you're responding to the user's emotional arousal."

[0330] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0331] Step 1:

[0332] Users input their desired space characteristics into the device. Specifically, there is an input field where users can input desired characteristics such as "Mars," "sandstorm," or "synthesizer music" using a device such as a smartphone or tablet. This clarifies the user's desired conditions. The input data is temporarily saved in the device in a data format such as JSON.

[0333] Step 2:

[0334] The device uses a camera and microphone to recognize the user's emotions. While the user is typing, the emotion engine captures the user's facial expressions and voice through the camera and microphone and analyzes them in real time. This analysis uses facial recognition software and voice analysis algorithms to determine the user's current emotional state.

[0335] Step 3:

[0336] The device sends the user's input data and emotion data to the server. The input data and emotion data are packaged as a JSON-formatted data packet and sent to the server via the Internet. The transmission process can use HTTP or WebSocket as the communication protocol.

[0337] Step 4:

[0338] The server analyzes the input data and emotion data and extracts each element. The server first parses the received data and stores the elements "planets," "climate," and "music" in a database. At the same time, it analyzes the emotion data and extracts scene generation parameters appropriate for that emotion.

[0339] Step 5:

[0340] The generative AI generates a space scene based on the input data and emotion data. The server passes the extracted data and emotion data to the generative AI. The generative AI uses OpenAI's GPT-4 model to generate prompts based on the input data and emotion data and come up with a design for a specific space scene.

[0341] Step 6:

[0342] The server renders the generated scene in real time and integrates it with music. Using a 3D graphics engine such as Unity, the generated space scene is rendered in real time with high quality. At this time, music data is selected to match the emotion and scene, and synchronized with the graphics.

[0343] Step 7:

[0344] The device receives the rendered scene and music from the server and displays it to the user. Based on the received data, the device displays a realistic space scene on the screen while simultaneously playing music through a high-quality audio system, allowing users to enjoy a customized space experience.

[0345] Specific operations and data flow

[0346] An example of input data for step 1 would be:

[0347] {"planet": "Mars", "climate": "sandstorm", "music": "synthesizer music"}

[0348] The emotion data generated by the emotion engine in step 2 is as follows:

[0349] {"emotion": "excitement"}

[0350] In step 3, the user input data and emotion data are sent to the server:

[0351] { "userInput": {"planet": "Mars", "climate": "sandstorm", "music": "synthesizer music"}, "emotionData": {"emotion": "excitement"}}

[0352] Step 4: The server analyzes the data:

[0353] Extracted data: {"planet": "Mars", "climate": "sandstorm", "music": "synthesizer music", "emotion": "excitement"}

[0354] Example prompt for the generated AI to generate a scene in step 5:

[0355] "Show me a space scene with a dust storm on Mars and some synthesizer music, but make sure you're responding to the user's emotional arousal."

[0356] Step 6 of the rendering process using Unity:

[0357] Input model: UnityModel(planet="Mars", climate="sandstorm", emotion="excitement")

[0358] Output Scene: RenderedScene(data)

[0359] Final display at step 7:

[0360] The terminal performs the display and playback.

[0361] Through this series of processing steps, users can enjoy a customized space experience based on their emotions in real time.

[0362] 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.

[0363] 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.

[0364] 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.

[0365] [Second embodiment]

[0366] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0367] 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.

[0368] 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).

[0369] 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.

[0370] 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.

[0371] 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).

[0372] 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.

[0373] 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.

[0374] 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.

[0375] 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.

[0376] 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.

[0377] 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."

[0378] The present invention relates to a service that uses generation AI to instantly create the universe that a user desires. Specific embodiments for carrying out the present invention will be described below.

[0379] Receiving user input

[0380] The user uses the terminal to input desired space characteristics, such as the name of a particular planet, climatic conditions, desired background music, etc. The terminal is provided with a GUI (graphical user interface) or a voice input interface for inputting this information.

[0381] Analyzing input data

[0382] The server analyzes the input data received from the device, breaking down the information into individual elements (planets, climate, music) and preparing them for the next processing step. The server identifies these data elements and checks for missing information.

[0383] Space data generation

[0384] The AI ​​then generates a space scene with the specified characteristics based on the analyzed data sent from the server. This process combines detailed visual information about the planet, environmental depictions that reflect the effects of climate, and the specified music. The generated data is visually and acoustically consistent and of high quality.

[0385] Rendering a planetarium scene

[0386] The server renders the planetarium scene in real time based on the space data generated by the generative AI. This rendering process uses a 3D graphics engine and an audio processing engine. The scene and music are integrated to create the final data that provides the realistic space experience users expect.

[0387] Scene and music provided

[0388] The device displays pre-rendered scenes and music sent from the server to the user, allowing them to instantly enjoy a customized space experience with specific characteristics. The display on the device uses a high-resolution display and a high-quality audio system.

[0389] Specific examples

[0390] The following provides a concrete example of implementing the system according to the present invention.

[0391] For example, if a user requests "a space scene of a sandstorm on Mars with synthesizer music," the following process is performed:

[0392] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[0393] 2. The server receives this and extracts the planet "Mars", the climate "sandstorm", and the music "synthesizer music".

[0394] 3. Based on this data, a generative AI generates a space scene including the Martian landscape and sandstorms, and integrates synthesizer music.

[0395] 4. The server renders this scene in real time to create the final data.

[0396] 5. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[0397] In this way, the present invention can provide a real-time space experience that is tailored to the user's individual needs.

[0398] The processing flow will be explained below.

[0399] Step 1:

[0400] The user uses the device to input desired space characteristics, such as "Mars," "sandstorm," or "synthesizer music," and the device receives this input and transmits it directly to the server.

[0401] Step 2:

[0402] The server analyzes the input data received from the user. The server breaks down the input data into modules such as "planets," "climate," and "music," and identifies each element. For example, "planets" contains information such as "Mars," "climate" contains information such as "sandstorms," ​​and "music" contains information such as "synthesizer music."

[0403] Step 3:

[0404] The server sends the analyzed data to the generation AI, which includes information about the planet, climate, and music specified by the user.

[0405] Step 4:

[0406] The AI ​​generator generates a specific space scene based on the data received from the server. For example, it integrates the red surface of Mars, sandstorm visual effects, and synthesizer music. The generated space scene data is of high visual and acoustic quality.

[0407] Step 5:

[0408] The server receives the generated space scene data and processes it for real-time rendering, using a 3D graphics engine and a sound engine to create a visual and audio representation.

[0409] Step 6:

[0410] The server transmits the rendered scene and music data to the device in real time, and this information is the final data for the user to enjoy a customized space experience.

[0411] Step 7:

[0412] The device displays the scene and music data sent from the server, using a high-resolution display and a high-quality audio system to provide users with a realistic space experience, allowing them to instantly experience the specific space environment they desire.

[0413] In this way, each step of the program works together to create a customized space planetarium experience based on the user's individual requirements.

[0414] Example 1

[0415] 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."

[0416] Conventional space experience systems lacked the ability to customize to the user's preferences, and the generated scenes and music relied on fixed templates, making it difficult to meet the needs of individual users. Furthermore, providing high-quality scenes and music in real time required a great deal of manual work and complex settings, which compromised the user experience. Therefore, there was a need for a system that allowed users to easily input their desired features and enjoy a high-quality space experience customized in real time.

[0417] 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.

[0418] In this invention, the server includes means for a user to input desired space characteristics into a terminal, means for the server to analyze the input data and extract each element, means for a generation AI to generate a space scene based on the specified characteristics, means for the server to render the generated scene in real time and integrate it with music, and means for the terminal to provide the scene and music to the user, thereby making it possible to provide a visually and acoustically consistent, high-quality space experience in real time based on the specific characteristics input by the user.

[0419] A "user" is a person who uses the system and inputs desired characteristics of the universe into a terminal.

[0420] The "terminal" is a device that allows the user to input desired space characteristics and display the generated scenes and music.

[0421] The "server" is a central processing unit that receives input data from users, analyzes it, generates space scenes using generative AI, and renders them in real time.

[0422] "Generative AI" is an artificial intelligence model that generates space scenes with specified characteristics based on analyzed data sent from the server.

[0423] "Input data" refers to information about desired characteristics of the universe that is input by a user using a terminal.

[0424] "Analysis" is the process in which the server breaks down input data into individual elements and extracts the necessary information.

[0425] A "space scene" is a visual and acoustic virtual space with specified characteristics generated by a generative AI.

[0426] "Real-time rendering" is the process of instantly visualizing generated space scenes and integrating them with sound.

[0427] "Music" is an acoustic expression that accompanies the space scene desired by the user, and is generated by generative AI.

[0428] A "high resolution display" is a display device on which the terminal displays the generated space scene at high resolution.

[0429] A "high quality audio system" is an audio device that allows a terminal to play music generated by the terminal with high quality sound.

[0430] The present invention relates to a service that uses generation AI to instantly create the universe that a user desires. Specific embodiments for carrying out the present invention will be described below.

[0431] Receiving user input

[0432] The user uses the terminal to input the desired space characteristics. The terminal is provided with a GUI (graphical user interface) or a voice input interface for inputting this information. Specifically, a screen is displayed where the user can input characteristics such as "Mars," "sandstorm," and "synthesizer music" using a keyboard or voice input.

[0433] Analyzing input data

[0434] The server analyzes the input data received from the terminal. This involves breaking down the input data into individual elements such as planets, climate, and music, and organizing each piece of data. Specifically, the server uses natural language processing (NLP) algorithms to analyze the text of the input data and extract each element. For example, the NLTK library in Python is used as the natural language processing technology to identify the word "Mars" as a planet, "sandstorm" as a climate, and "synthesizer music" as music.

[0435] Space data generation

[0436] The generative AI generates space scenes with specified characteristics based on the analyzed data sent from the server. Specifically, it uses a generative adversarial network (GAN) model to generate detailed visuals of the Martian surface and add the dynamic effect of a sandstorm. The generative AI also uses a music generation algorithm to generate specified synthesizer music. The generative AI performs these generation processes using the Python-based TensorFlow library.

[0437] Rendering a planetarium scene

[0438] The server renders the planetarium scene in real time using space data generated by generative AI, using 3D graphics engines such as Unity or Unreal Engine and audio processing engines such as FMOD or Wwise, enabling the real-time simulation of a Martian dust storm to be synchronized with the synthesized music.

[0439] Scene and music provided

[0440] The device displays the rendered scene and music sent from the server to the user, allowing the user to instantly enjoy a customized space experience with specific characteristics. Specifically, the device displays a Martian dust storm scene on a high-resolution display, while simultaneously playing synthesized music through high-quality speakers or headphones. Users can also wear a VR headset for a more immersive experience.

[0441] Specific examples

[0442] The following provides a concrete example of implementing the system according to the present invention.

[0443] For example, if the user wanted "a space scene of a dust storm on Mars with synthesizer music," the following prompt could be used:

[0444] Prompt: "Generate a space scene with a dust storm on Mars accompanied by synthesizer music."

[0445] Based on this prompt, the following processing is performed:

[0446] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[0447] 2. The server receives this and extracts the planet "Mars", the climate "sandstorm", and the music "synthesizer music".

[0448] 3. Based on this data, a generative AI generates a space scene including the Martian landscape and sandstorms, and integrates synthesizer music.

[0449] 4. The server renders this scene in real time to create the final data.

[0450] 5. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[0451] In this way, the present invention can provide a real-time space experience that is tailored to the user's individual needs.

[0452] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0453] Step 1: Receiving User Input

[0454] The user uses the terminal to input the desired space characteristics. Specifically, the user inputs characteristics such as "Mars," "sandstorm," and "synthesizer music" using a keyboard or voice input. The terminal is provided with a GUI (Graphical User Interface) or voice input interface for inputting this information.

[0455] Input: The desired space feature entered by the user into the device (Mars, sandstorm, synthesizer music)

[0456] Output: Saved as input data on the terminal

[0457] Step 2: Analyze the input data

[0458] The server analyzes the input data received from the device. Specifically, it uses a natural language processing (NLP) algorithm to break down the input data into individual elements (planet, climate, music) and identify each of them. The server uses Python's NLTK library to analyze the input text data and extract "Mars" as a planet, "sandstorm" as a climate, and "synthesizer music" as music.

[0459] Input: User input data sent from the device to the server

[0460] Output: Analyzed element data (planet: Mars, climate: sandstorm, music: synthesizer music)

[0461] Step 3: Generating space data

[0462] The generative AI generates a space scene with specified characteristics based on the analyzed data sent from the server. Specifically, it uses a generative adversarial network (GAN) model to generate detailed visuals of the Martian surface and add the dynamic effect of a sandstorm. The generative AI also uses a music generation algorithm to generate specified synthesizer music. The generative AI performs these generation processes using the Python-based TensorFlow library.

[0463] Input: Analyzed element data (planet: Mars, climate: sandstorm, music: synthesizer music)

[0464] Output: Generated space scene data and synthesizer music data

[0465] Step 4: Rendering the planetarium scene

[0466] The server renders planetarium scenes in real time based on space data generated by generative AI. Specifically, it uses 3D graphics engines such as Unity or Unreal Engine to render the visual scenes, while simultaneously integrating music generated using audio processing engines such as FMOD or Wwise. This allows for the real-time simulation of a Martian dust storm to be synchronized with the synthesized music.

[0467] Input: Generated space scene data and synthesizer music data

[0468] Output: Real-time rendered space scene and integrated music

[0469] Step 5: Provide the scene and music

[0470] The device displays the rendered scene and music sent from the server to the user. Specifically, the device displays the Martian dust storm scene on a high-resolution display and plays the synthesized music through high-quality speakers or headphones. This allows the user to instantly enjoy a customized space experience with specific characteristics. Users can also wear a VR headset for a more immersive experience.

[0471] Input: Real-time rendered space scene and integrated music

[0472] Output: A customized space experience displayed on your device

[0473] (Application example 1)

[0474] 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."

[0475] Conventional virtual store systems have been unable to provide an immersive shopping experience, making it difficult for users to enjoy shopping in a virtual universe customized to their preferences. Furthermore, due to a lack of technology to generate customized spaces in real time and the insufficient ability to quickly render the generated scenes, they have been unable to achieve the realistic experience users expect.

[0476] 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.

[0477] In this invention, the server includes means for a user to input desired space characteristics into a terminal, means for extracting each element, means having a generative AI for generating a space scene based on the specified characteristics, means for rendering the scene in real time and integrating it with music, means for providing the scene to the user, means for generating a virtual shopping area using the generative AI model, and means for providing the virtual shopping area to the user, thereby enabling the user to enjoy a shopping experience in a virtual universe customized to their preferences and wishes.

[0478] "User" means any person who uses the System to experience and interact with the virtual space scene or virtual shopping area.

[0479] "Device" means the device through which a user interacts with the system, including a smartphone or head-mounted display.

[0480] "Server" refers to the central processing unit that analyzes user input data and uses generative AI to generate and render customized space scenes and virtual shopping areas.

[0481] "Generative AI" refers to artificial intelligence technology that generates customized space scenes or virtual shopping areas based on input data.

[0482] "Space scene" refers to a virtual space that visually depicts a space environment according to the user's wishes.

[0483] "Real-time rendering" refers to a technology that processes data from input to display, instantly, and provides users with visual and audio information without delay.

[0484] "Music integration" refers to the process of embedding background music into the generated virtual space.

[0485] "Virtual shopping area" refers to a digital shop where users can explore and purchase products in a virtual space.

[0486] A "prompt" refers to text input that instructs a generative AI to generate a specific output.

[0487] The present invention relates to a system for generating a customized virtual space scene or a virtual shopping area based on the characteristics desired by a user and providing the customized virtual space scene or a virtual shopping area to the user in real time. Specific embodiments for carrying out the present invention will be described below.

[0488] Hardware and Software

[0489] In this embodiment, the following hardware and software are mainly used.

[0490] Hardware: smartphone, head-mounted display (e.g., Oculus Quest), high-resolution display, sound system

[0491] Software: Python, generative AI models (e.g., GPT-4, DALL-E), 3D graphics engines (e.g., Unity, Unreal Engine)

[0492] Data processing and calculation

[0493] The server performs the following data processing and calculations.

[0494] 1. Provide an interface for users to input desired space characteristics into the device. Input methods include text input, voice input, and GUI operation.

[0495] 2. The server receives the input data sent from the device and analyzes it. This analysis breaks down the input information into elements (e.g., location, atmosphere, background music) and formats them as input data for the generative AI model.

[0496] 3. Based on the analyzed data, the generation AI generates a space scene or a virtual shopping area with the specified characteristics. Here, prompts are used to give the AI ​​instructions on how to generate it.

[0497] 4. The server renders the 3D scene in real time based on the generated data, integrates it with background music, and uses a 3D graphics engine (e.g., Unity, Unreal Engine) to achieve realistic visual effects.

[0498] 5. Finally, the generated and rendered scene and music are sent to the device and provided to the user, who can then enjoy this customized virtual experience through their smartphone or head-mounted display.

[0499] Specific examples

[0500] For example, if a user wants to "explore a floating designer store in the center of the galaxy," the process would be as follows:

[0501] 1. The user types "A floating designer store at the center of the galaxy" into the device.

[0502] 2. The server receives this, analyzes it, and breaks it down into the following elements: location "Center of the Galaxy", atmosphere "Floating", store "Designer".

[0503] 3. Based on this data, the generative AI generates a space scene that includes a floating designer store at the center of the galaxy. The generative AI model uses the following prompt: "Generate the virtual universe the user desires, especially including the following features: Location: Center of the galaxy, Atmosphere: Floating, Store: Designer."

[0504] 4. The server renders this scene in real time and integrates it with background music (e.g., "Spacey Fusion").

[0505] 5. Finally, the device displays this virtual shopping area to the user, who can freely explore and purchase products.

[0506] This allows users to enjoy a shopping experience in a virtual universe that is customized to their needs.

[0507] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0508] Step 1:

[0509] The user inputs the desired characteristics of the universe into the terminal.

[0510] Input methods include text input, voice input, and GUI operation. The user can input their desired idea, such as "a floating designer store in the center of the galaxy." This becomes the input data for the program.

[0511] Step 2:

[0512] The server analyzes the input data sent from the terminal.

[0513] The server analyzes the input data and breaks it down into specific elements (e.g., location, atmosphere, store). In this example, the extracted elements are the location "center of the galaxy," the atmosphere "floating," and the store "designer." This is used to construct a prompt sentence to instruct the generative AI model.

[0514] Step 3:

[0515] A generation AI generates a space scene based on specified features.

[0516] The server sends a prompt to the generation AI, which then generates a customized space scene based on that instruction. An example of a prompt is, "Please generate the virtual universe the user desires. Please make sure it includes the following features in particular: Location: Center of the galaxy, Atmosphere: Floating feeling, Store: Designer." The 3D scene data generated by the generation AI is output.

[0517] Step 4:

[0518] The server renders the generated scenes in real time and integrates them with music.

[0519] The server receives the 3D scene data obtained from the generative AI and renders it in real time using a 3D graphics engine (e.g., Unity, Unreal Engine).Furthermore, by seamlessly integrating it with the specified background music (e.g., "Spacey Fusion"), data is generated that provides the user with a high-quality visual and audio experience.

[0520] Step 5:

[0521] The device provides scenes and music to the user.

[0522] The device receives the rendered 3D scene and background music sent from the server and presents it to the user using a high-resolution display and high-quality audio system. Users can explore the generated virtual shopping area, check detailed information about items, and make purchases via a head-mounted display or smartphone.

[0523] 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.

[0524] The present invention relates to a system that combines a service that uses generative AI to instantly create the universe that a user desires with an emotion engine that recognizes the user's emotions. Specific embodiments for carrying out the present invention will be described below.

[0525] Receiving user input

[0526] The user uses the device to input desired space characteristics, such as the name of a particular planet, weather conditions, desired background music, etc. Once the user enters this information into the device, the device transmits it to the server.

[0527] Emotion recognition by emotion engine

[0528] The emotion engine recognizes the user's emotions in real time. It analyzes the user's facial expressions, voice, or biometric signals to identify their current emotions. This emotion data is taken into account during the scene generation process by the server.

[0529] Analysis of input data and emotion data

[0530] The server analyzes the input data received from the device and the emotional data obtained from the emotion engine. The server breaks down the input data into modules such as "planets," "climate," and "music," and identifies each element. At the same time, the server adjusts the generated scene based on the emotional data.

[0531] Space data generation

[0532] The AI ​​generates a specific space scene based on the analyzed data and emotional data sent from the server. For example, if the user's emotional state is "relaxed," the AI ​​selects a calm planetary landscape and calming music. This generates a space scene that matches the emotional state.

[0533] Rendering a planetarium scene

[0534] The server renders planetarium scenes in real time using space data generated by generative AI, using a 3D graphics engine and sound engine to create a high-quality, visually and acoustically consistent presentation.

[0535] Scene and music provided

[0536] The device displays pre-rendered scenes and music data sent from the server to the user, using a high-resolution display and a high-quality audio system to provide a realistic space experience to the user.

[0537] Specific examples

[0538] The following provides a concrete example of implementing the system according to the present invention.

[0539] For example, if the user requests "a space scene with a sandstorm blowing on Mars and synthesizer music" and the current emotion is "excited," the following processing is performed.

[0540] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[0541] 2. The emotion engine analyzes the user's facial expressions and voice and recognizes that the user's emotion is "excitement."

[0542] 3. The server receives this and extracts the planet "Mars", the climate "sandstorm", the music "synthesizer music", and the emotion "excitement".

[0543] 4. Based on this data, a generative AI will integrate Martian landscapes, sandstorm visual effects, and synthesized music based on the user's emotions.

[0544] 5. The server renders this scene in real time to create the final data.

[0545] 6. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[0546] In this way, the present invention can provide a real-time space experience that is tailored to the user's individual desires and emotions.

[0547] The processing flow will be explained below.

[0548] Step 1:

[0549] The user inputs the desired space characteristics using a terminal. For example, the user may specify characteristics such as "Mars," "sandstorm," or "synthesizer music." This input data is then sent from the terminal to the server.

[0550] Step 2:

[0551] The emotion engine recognizes the user's real-time emotions. The emotion engine analyzes video data from the camera, audio data from the microphone, and biometric signals such as heart rate to identify the user's current emotions. For example, it recognizes that the user is "excited."

[0552] Step 3:

[0553] The server receives and analyzes input data sent from the device and emotion data from the emotion engine. The server breaks down the input data into modules such as "planet," "climate," and "music," and adjusts them based on the emotion data. For example, the planet may be identified as "Mars," the climate as "sandstorm," the music as "synthesized music," and the emotion as "excitement."

[0554] Step 4:

[0555] The server sends the analyzed data to the generation AI, which includes the user-specified "planet," "climate," and "music," as well as emotional information such as "excitement" obtained from the emotion engine.

[0556] Step 5:

[0557] The AI ​​generates specific space scenes and music based on the data received from the server. The AI ​​generates space scenes including Martian landscapes and sandstorm visual effects, and selects synthesizer music that enhances excitement based on emotional data. This allows for a customized space experience that matches the user's emotions.

[0558] Step 6:

[0559] The server renders planetarium scenes in real time based on space scene data generated by generative AI, using a 3D graphics engine and sound engine to deliver high-quality visual and audio presentations.

[0560] Step 7:

[0561] The server sends the rendered scene and music data to the device, compressing it for high-speed transfer.

[0562] Step 8:

[0563] The terminal receives and displays the scene and music data sent from the server, and uses a high-resolution display and a high-quality audio system to provide users with a realistic space experience.

[0564] In this way, it is possible to instantly provide a customized space planetarium experience based on the user's individual requests and emotions. For example, if a user requests a space scene of a sandstorm on Mars and synthesizer music, and the emotion engine detects an "excited" state, it can generate and display a scene and music that responds to the user's request and emotion in real time.

[0565] Example 2

[0566] 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."

[0567] Conventional space experience generation systems have struggled to customize the experience based on the user's detailed wishes and emotions. In particular, real-time scene generation that reflects the user's emotions is challenging, and it often fails to fully meet the needs of individual users. Furthermore, integrating scenes with music and high-quality real-time rendering have also been issues.

[0568] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for a user to input desired space characteristics into a terminal, means for analyzing the input data from the terminal and extracting each element, means for an emotion engine to recognize the user's emotion and send it to the server, means for analyzing the emotion data and adjusting the scene and music, means for a generation AI to generate a space scene based on the specified characteristics and the recognized emotion, means for rendering the generated scene in real time and integrating it with music, and means for the terminal to provide the scene and music to the user. This enables a real-time customized space experience based on the user's individual wishes and emotions.

[0569] A "user" is an individual or group that uses the system and inputs the desired space characteristics and planetarium experience into the terminal.

[0570] A "terminal" is a hardware device that allows users to input information and transmits the characteristics of the universe and emotional data to a server through an interface.

[0571] The "server" is a central processing unit that receives and analyzes input data and emotional data from users, and generates and renders space scenes based on that data.

[0572] "Input data" refers to information entered by a user through a terminal, including detailed characteristics of a particular planet, weather conditions, desired background music, etc.

[0573] The "Emotion Engine" is a system that identifies a user's emotions in real time by analyzing their facial expressions, voice, and biometric signals.

[0574] "Emotion data" refers to the user's emotional state as recognized by the emotion engine, and is information that is sent to the server and taken into account when generating a scene.

[0575] "Generative AI" is an artificial intelligence technology that generates space scenes based on input data and emotional data from the server, and fine-tunes the atmosphere and music of the scene.

[0576] "Rendering" is the process of using a 3D graphics engine and sound engine to create a high-quality visual and audio representation of the space scene generated by generative AI in real time.

[0577] "Scene" refers to a visual and acoustic representation of space that the generative AI creates based on input data and emotional data to provide a planetarium experience.

[0578] The present invention relates to a system that combines a service that uses generative AI to instantly create the universe that a user desires with an emotion engine that recognizes the user's emotions. Specific embodiments for carrying out the present invention will be described below.

[0579] Receiving user input

[0580] The user uses the device to input desired space characteristics. The user interacts with the device's interface and inputs information such as the name of a specific planet, weather conditions, and desired background music. For example, the user might input "Mars," "sandstorm," and "synthesizer music." This information is packaged in JSON format and sent to the server in the next step.

[0581] Emotion recognition by emotion engine

[0582] The emotion engine recognizes the user's emotions in real time. The device's camera and microphone capture the user's facial expressions and voice, which the emotion engine analyzes to identify the user's current emotion. For example, the emotion engine analyzes the user's facial expressions and voice and identifies the emotion as "excited." This emotion data is sent to the server.

[0583] Analysis of input data and emotion data

[0584] The server analyzes the input data received from the device and the emotion data obtained from the emotion engine. The server breaks down the input data into modules such as "planets," "climate," and "music," and identifies each element. At the same time, the scene to be generated is adjusted based on the emotion data. For example, a scene template is created based on the elements "Mars," "sandstorm," and "synthesizer music" and the emotion data "excitement."

[0585] Space data generation

[0586] The generative AI generates specific space scenes based on analyzed data and emotional data sent from the server. When generating space scenes with specific characteristics, the generative AI fine-tunes them to match the user's emotions. For example, using "Mars," "sandstorm," "synthesizer music," and "excitement" as input, it generates dynamic synthesizer music and the visuals of an intense sandstorm.

[0587] Rendering a planetarium scene

[0588] The server renders planetarium scenes in real time based on space data generated by generative AI, using a 3D graphics engine (e.g., Unity, Unreal Engine) and a sound engine (e.g., FMOD, WWise) to achieve high-quality visual and audio presentations.

[0589] Scene and music provided

[0590] The terminal displays the rendered scene and music data sent from the server to the user, using a high-resolution display and a high-quality audio system to provide a realistic space experience, allowing users to enjoy a customized space planetarium experience according to their wishes.

[0591] Specific examples

[0592] The following provides a concrete example of implementing the system according to the present invention.

[0593] For example, if the user requests "a space scene with a sandstorm blowing on Mars and synthesizer music" and the current emotion is "excited," the following processing is performed.

[0594] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[0595] 2. The emotion engine analyzes the user's facial expressions and voice and recognizes that the user's emotion is "excitement."

[0596] 3. The server receives this and extracts the planet "Mars", the climate "sandstorm", the music "synthesizer music", and the emotion "excitement".

[0597] 4. Based on this data, a generative AI will integrate Martian landscapes, sandstorm visual effects, and synthesized music based on the user's emotions.

[0598] 5. The server renders this scene in real time to create the final data.

[0599] 6. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[0600] This process allows for a customized, real-time space experience based on the user's individual desires and current emotions.

[0601] Prompts and Sentence Examples

[0602] Below are some examples of prompt sentences:

[0603] Entering "Mars," "sandstorm," "synthesizer music," and "excitement" will generate related space scenes.

[0604] The above is a specific embodiment for carrying out the present invention.

[0605] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0606] Step 1:

[0607] The user inputs desired space characteristics into the device. The user enters information into the device interface, such as the name of a specific planet, weather conditions, and desired background music. The input information is packaged in JSON format. For example, if the user inputs "Mars," "sandstorm," and "synthesizer music," this information is compiled into a single JSON data and sent to the server.

[0608] Input: Information that the user types into the device (e.g., "Mars," "sandstorm," "synthesizer music")

[0609] Output: Data sent from the device to the server (JSON format)

[0610] Step 2:

[0611] The server analyzes the input data received from the device and extracts each element. Specifically, the server parses the received JSON data and separates the elements of planet, climate, and music. This process allows the input data to be classified by its components. For example, the elements "Mars," "sandstorm," and "synthesizer music" are extracted.

[0612] Input: JSON data sent from the terminal

[0613] Output: Analyzed data (planet: "Mars", climate: "sandstorm", music: "synthesizer music")

[0614] Step 3:

[0615] The emotion engine recognizes the user's emotions in real time. It uses the device's camera and microphone to capture the user's facial expressions and voice, and analyzes them to identify the user's current emotion. For example, the emotion engine analyzes the user's facial expressions and voice and recognizes them as "excited." This recognized emotion data is sent to the server.

[0616] Input: User's facial and voice data

[0617] Output: Emotion data (e.g., "excited")

[0618] Step 4:

[0619] The server analyzes the emotion data received from the emotion engine and adjusts the scene. Specifically, the server integrates the emotion data with the data extracted in step 2 to create a template to be passed to the generative AI. For example, if the emotion data is "excitement," the server dynamically adjusts the visual and music selection.

[0620] Input: Emotion data (e.g., "Excitement"), analyzed data (planet: "Mars", climate: "Sandstorm", music: "Synthesizer music")

[0621] Output: Merged template data

[0622] Step 5:

[0623] The generative AI generates space scenes based on the integrated template data. The generative AI integrates 3D graphics and music to generate space scenes based on specified characteristics and emotions. For example, using the input data "Mars," "sandstorm," "synthesizer music," and "excitement," it generates dynamic 3D scenes and synthesizer music.

[0624] Input: Integrated template data

[0625] Output: Generated space scene data

[0626] Step 6:

[0627] The server renders the generated space scene data in real time using a 3D graphics engine (e.g., Unity, Unreal Engine) and a sound engine (e.g., FMOD, WWise), providing a high-quality visual and sound experience.

[0628] Input: Generated space scene data

[0629] Output: Rendered scene graphics and audio data

[0630] Step 7:

[0631] The device provides users with pre-rendered scenes and music, which are then displayed in real time on a high-resolution display and high-quality audio system, allowing users to enjoy a customized space planetarium experience.

[0632] Input: Rendered scene graphics and audio data

[0633] Output: A visual and audio space experience provided to the user.

[0634] The above steps result in a customized, real-time space experience based on the user's individual desires and current emotions.

[0635] (Application example 2)

[0636] 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."

[0637] While conventional space experience systems allow customization based on user-defined characteristics, they are unable to reflect the user's emotions in real time. This makes it difficult for users to obtain a more realistic and emotionally relevant experience. Furthermore, it is difficult to instantly generate and display high-quality space scenes based on input data.

[0638] 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.

[0639] In this invention, the server includes: a means for a user to input desired space characteristics into a terminal; a means in which the terminal includes an emotion engine that recognizes the user's emotions; a means in which the server analyzes the input data and emotion data and extracts each element; a means in which a generation AI generates a space scene based on the specified characteristics and emotion data; a means in which the server renders the generated scene in real time and integrates it with music; and a means in which the terminal provides the scene and music to the user, thereby enabling a customized real-time space experience based on the user's emotions and wishes.

[0640] A "terminal" is a device through which a user sends input data and receives generated scenes and music visually and audibly.

[0641] The "emotion engine" is an analytical engine that analyzes the user's facial expressions, voice, or biometric signals to identify their current emotions.

[0642] The "server" is a central system that analyzes input data and emotion data sent by users and allows the generative AI to generate and render scenes based on that data.

[0643] "Generative AI" is an artificial intelligence that generates space scenes with specified characteristics based on user input data and emotional data.

[0644] "Rendering" is the process of drawing the generated space scene in real time in a visually and aurally consistent format.

[0645] "Music" is an auditory element that is selected by the generative AI based on the user's wishes and emotions and provided along with the scene.

[0646] "Real-time" refers to a time frame in which scenes are generated and presented instantly based on user input and emotional data.

[0647] "Space Scenes" are visual and auditory experiences with specific planets, climates, and other characteristics created by generative AI based on user input and emotional data.

[0648] "Data analysis" is the process by which the server examines the input data and emotion data it receives, and extracts and identifies each element.

[0649] This invention relates to a system in which a user inputs desired space characteristics, an emotion engine recognizes the user's emotions in real time, and a generation AI generates a specific space scene based on the input. Specific embodiments for implementing this invention will be described below.

[0650] System configuration

[0651] 1. Device:

[0652] A device that allows a user to input desired space characteristics, including a smartphone, tablet, or other input and display device, equipped with a camera and microphone to capture the user's facial expressions and voice.

[0653] 2. Emotion Engine:

[0654] The engine uses a camera and microphone to analyze the user's facial expressions, voice, and biometric signals to recognize the user's emotions in real time. Specifically, it can use Microsoft's facial recognition API and voice analysis technology.

[0655] 3. Server:

[0656] It receives and analyzes input data and emotional data sent by users, and breaks down the input data into modules such as "planets," "climate," and "music," allowing the generative AI to instantly generate space scenes.

[0657] 4. Generation AI:

[0658] It is an artificial intelligence that generates specific space scenes based on input data and emotion data, using adaptive generative models such as OpenAI's GPT-4 and Unity's 3D scene generation engine.

[0659] 5. Client-side software:

[0660] It provides a user interface and visually and aurally delivers music integrated with the generated space scene.

[0661] Processing flow

[0662] 1. User Input and Emotion Recognition:

[0663] The user uses the device to input the desired space characteristics, such as "Mars," "sandstorm," or "synthesizer music," while the emotion engine simultaneously captures emotion data from the user's facial expressions and voice.

[0664] 2. Data transmission and analysis:

[0665] The device sends this data to a server, which analyzes the input data, extracts planetary, climate, and musical elements, and handles emotional data together.

[0666] 3. Space scene generation:

[0667] The generative AI then uses this data to generate specific space scenes, depicting things like tranquil landscapes or violent sandstorms, and selecting music such as synthesized music based on the input data.

[0668] 4. Rendering and displaying the scene:

[0669] The server renders the generated space scene in real time, producing a high-quality scene with consistent visual and auditory quality, and sends this data to the device for display to the user.

[0670] Specific examples

[0671] If a user wants to experience a space planetarium, they can input something like "a scene of a sandstorm on Mars with synthesizer music." If the emotion engine recognizes the user's emotion as "excitement," the generative AI will select a scene of a violent sandstorm on Mars and music that evokes excitement. This allows users to enjoy a customized space experience in real time.

[0672] Prompt Sentence Examples

[0673] "Show me a space scene with a dust storm on Mars and some synthesizer music, but make sure you're responding to the user's emotional arousal."

[0674] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0675] Step 1:

[0676] Users input their desired space characteristics into the device. Specifically, there is an input field where users can input desired characteristics such as "Mars," "sandstorm," or "synthesizer music" using a device such as a smartphone or tablet. This clarifies the user's desired conditions. The input data is temporarily saved in the device in a data format such as JSON.

[0677] Step 2:

[0678] The device uses a camera and microphone to recognize the user's emotions. While the user is typing, the emotion engine captures the user's facial expressions and voice through the camera and microphone and analyzes them in real time. This analysis uses facial recognition software and voice analysis algorithms to determine the user's current emotional state.

[0679] Step 3:

[0680] The device sends the user's input data and emotion data to the server. The input data and emotion data are packaged as a JSON-formatted data packet and sent to the server via the Internet. The transmission process can use HTTP or WebSocket as the communication protocol.

[0681] Step 4:

[0682] The server analyzes the input data and emotion data and extracts each element. The server first parses the received data and stores the elements "planets," "climate," and "music" in a database. At the same time, it analyzes the emotion data and extracts scene generation parameters appropriate for that emotion.

[0683] Step 5:

[0684] The generative AI generates a space scene based on the input data and emotion data. The server passes the extracted data and emotion data to the generative AI. The generative AI uses OpenAI's GPT-4 model to generate prompts based on the input data and emotion data and come up with a design for a specific space scene.

[0685] Step 6:

[0686] The server renders the generated scene in real time and integrates it with music. Using a 3D graphics engine such as Unity, the generated space scene is rendered in real time with high quality. At this time, music data is selected to match the emotion and scene, and synchronized with the graphics.

[0687] Step 7:

[0688] The device receives the rendered scene and music from the server and displays it to the user. Based on the received data, the device displays a realistic space scene on the screen while simultaneously playing music through a high-quality audio system, allowing users to enjoy a customized space experience.

[0689] Specific operations and data flow

[0690] An example of input data for step 1 would be:

[0691] {"planet": "Mars", "climate": "sandstorm", "music": "synthesizer music"}

[0692] The emotion data generated by the emotion engine in step 2 is as follows:

[0693] {"emotion": "excitement"}

[0694] In step 3, the user input data and emotion data are sent to the server:

[0695] { "userInput": {"planet": "Mars", "climate": "sandstorm", "music": "synthesizer music"}, "emotionData": {"emotion": "excitement"}}

[0696] Step 4: The server analyzes the data:

[0697] Extracted data: {"planet": "Mars", "climate": "sandstorm", "music": "synthesizer music", "emotion": "excitement"}

[0698] Example prompt for the generated AI to generate a scene in step 5:

[0699] "Show me a space scene with a dust storm on Mars and some synthesizer music, but make sure you're responding to the user's emotional arousal."

[0700] Step 6 of the rendering process using Unity:

[0701] Input model: UnityModel(planet="Mars", climate="sandstorm", emotion="excitement")

[0702] Output Scene: RenderedScene(data)

[0703] Final display at step 7:

[0704] The terminal performs the display and playback.

[0705] Through this series of processing steps, users can enjoy a customized space experience based on their emotions in real time.

[0706] 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.

[0707] 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.

[0708] 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.

[0709] [Third embodiment]

[0710] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0711] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0712] 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).

[0713] 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.

[0714] 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.

[0715] 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).

[0716] 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.

[0717] 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.

[0718] 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.

[0719] 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.

[0720] 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.

[0721] 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."

[0722] The present invention relates to a service that uses generation AI to instantly create the universe that a user desires. Specific embodiments for carrying out the present invention will be described below.

[0723] Receiving user input

[0724] The user uses the terminal to input desired space characteristics, such as the name of a particular planet, climatic conditions, desired background music, etc. The terminal is provided with a GUI (graphical user interface) or a voice input interface for inputting this information.

[0725] Analyzing input data

[0726] The server analyzes the input data received from the device, breaking down the information into individual elements (planets, climate, music) and preparing them for the next processing step. The server identifies these data elements and checks for missing information.

[0727] Space data generation

[0728] The AI ​​then generates a space scene with the specified characteristics based on the analyzed data sent from the server. This process combines detailed visual information about the planet, environmental depictions that reflect the effects of climate, and the specified music. The generated data is visually and acoustically consistent and of high quality.

[0729] Rendering a planetarium scene

[0730] The server renders the planetarium scene in real time based on the space data generated by the generative AI. This rendering process uses a 3D graphics engine and an audio processing engine. The scene and music are integrated to create the final data that provides the realistic space experience users expect.

[0731] Scene and music provided

[0732] The device displays pre-rendered scenes and music sent from the server to the user, allowing them to instantly enjoy a customized space experience with specific characteristics. The display on the device uses a high-resolution display and a high-quality audio system.

[0733] Specific examples

[0734] The following provides a concrete example of implementing the system according to the present invention.

[0735] For example, if a user requests "a space scene of a sandstorm on Mars with synthesizer music," the following process is performed:

[0736] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[0737] 2. The server receives this and extracts the planet "Mars", the climate "sandstorm", and the music "synthesizer music".

[0738] 3. Based on this data, a generative AI generates a space scene including the Martian landscape and sandstorms, and integrates synthesizer music.

[0739] 4. The server renders this scene in real time to create the final data.

[0740] 5. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[0741] In this way, the present invention can provide a real-time space experience that is tailored to the user's individual needs.

[0742] The processing flow will be explained below.

[0743] Step 1:

[0744] The user uses the device to input desired space characteristics, such as "Mars," "sandstorm," or "synthesizer music," and the device receives this input and transmits it directly to the server.

[0745] Step 2:

[0746] The server analyzes the input data received from the user. The server breaks down the input data into modules such as "planets," "climate," and "music," and identifies each element. For example, "planets" contains information such as "Mars," "climate" contains information such as "sandstorms," ​​and "music" contains information such as "synthesizer music."

[0747] Step 3:

[0748] The server sends the analyzed data to the generation AI, which includes information about the planet, climate, and music specified by the user.

[0749] Step 4:

[0750] The AI ​​generator generates a specific space scene based on the data received from the server. For example, it integrates the red surface of Mars, sandstorm visual effects, and synthesizer music. The generated space scene data is of high visual and acoustic quality.

[0751] Step 5:

[0752] The server receives the generated space scene data and processes it for real-time rendering, using a 3D graphics engine and a sound engine to create a visual and audio representation.

[0753] Step 6:

[0754] The server transmits the rendered scene and music data to the device in real time, and this information is the final data for the user to enjoy a customized space experience.

[0755] Step 7:

[0756] The device displays the scene and music data sent from the server, using a high-resolution display and a high-quality audio system to provide users with a realistic space experience, allowing them to instantly experience the specific space environment they desire.

[0757] In this way, each step of the program works together to create a customized space planetarium experience based on the user's individual requirements.

[0758] Example 1

[0759] 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."

[0760] Conventional space experience systems lacked the ability to customize to the user's preferences, and the generated scenes and music relied on fixed templates, making it difficult to meet the needs of individual users. Furthermore, providing high-quality scenes and music in real time required a great deal of manual work and complex settings, which compromised the user experience. Therefore, there was a need for a system that allowed users to easily input their desired features and enjoy a high-quality space experience customized in real time.

[0761] 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.

[0762] In this invention, the server includes means for a user to input desired space characteristics into a terminal, means for the server to analyze the input data and extract each element, means for a generation AI to generate a space scene based on the specified characteristics, means for the server to render the generated scene in real time and integrate it with music, and means for the terminal to provide the scene and music to the user, thereby making it possible to provide a visually and acoustically consistent, high-quality space experience in real time based on the specific characteristics input by the user.

[0763] A "user" is a person who uses the system and inputs desired characteristics of the universe into a terminal.

[0764] The "terminal" is a device that allows the user to input desired space characteristics and display the generated scenes and music.

[0765] The "server" is a central processing unit that receives input data from users, analyzes it, generates space scenes using generative AI, and renders them in real time.

[0766] "Generative AI" is an artificial intelligence model that generates space scenes with specified characteristics based on analyzed data sent from the server.

[0767] "Input data" refers to information about desired characteristics of the universe that is input by a user using a terminal.

[0768] "Analysis" is the process in which the server breaks down input data into individual elements and extracts the necessary information.

[0769] A "space scene" is a visual and acoustic virtual space with specified characteristics generated by a generative AI.

[0770] "Real-time rendering" is the process of instantly visualizing generated space scenes and integrating them with sound.

[0771] "Music" is an acoustic expression that accompanies the space scene desired by the user, and is generated by generative AI.

[0772] A "high resolution display" is a display device on which the terminal displays the generated space scene at high resolution.

[0773] A "high quality audio system" is an audio device that allows a terminal to play music generated by the terminal with high quality sound.

[0774] The present invention relates to a service that uses generation AI to instantly create the universe that a user desires. Specific embodiments for carrying out the present invention will be described below.

[0775] Receiving user input

[0776] The user uses the terminal to input the desired space characteristics. The terminal is provided with a GUI (graphical user interface) or a voice input interface for inputting this information. Specifically, a screen is displayed where the user can input characteristics such as "Mars," "sandstorm," and "synthesizer music" using a keyboard or voice input.

[0777] Analyzing input data

[0778] The server analyzes the input data received from the terminal. This involves breaking down the input data into individual elements such as planets, climate, and music, and organizing each piece of data. Specifically, the server uses natural language processing (NLP) algorithms to analyze the text of the input data and extract each element. For example, the NLTK library in Python is used as the natural language processing technology to identify the word "Mars" as a planet, "sandstorm" as a climate, and "synthesizer music" as music.

[0779] Space data generation

[0780] The generative AI generates space scenes with specified characteristics based on the analyzed data sent from the server. Specifically, it uses a generative adversarial network (GAN) model to generate detailed visuals of the Martian surface and add the dynamic effect of a sandstorm. The generative AI also uses a music generation algorithm to generate specified synthesizer music. The generative AI performs these generation processes using the Python-based TensorFlow library.

[0781] Rendering a planetarium scene

[0782] The server renders the planetarium scene in real time using space data generated by generative AI, using 3D graphics engines such as Unity or Unreal Engine and audio processing engines such as FMOD or Wwise, enabling the real-time simulation of a Martian dust storm to be synchronized with the synthesized music.

[0783] Scene and music provided

[0784] The device displays the rendered scene and music sent from the server to the user, allowing the user to instantly enjoy a customized space experience with specific characteristics. Specifically, the device displays a Martian dust storm scene on a high-resolution display, while simultaneously playing synthesized music through high-quality speakers or headphones. Users can also wear a VR headset for a more immersive experience.

[0785] Specific examples

[0786] The following provides a concrete example of implementing the system according to the present invention.

[0787] For example, if the user wanted "a space scene of a dust storm on Mars with synthesizer music," the following prompt could be used:

[0788] Prompt: "Generate a space scene with a dust storm on Mars accompanied by synthesizer music."

[0789] Based on this prompt, the following processing is performed:

[0790] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[0791] 2. The server receives this and extracts the planet "Mars", the climate "sandstorm", and the music "synthesizer music".

[0792] 3. Based on this data, a generative AI generates a space scene including the Martian landscape and sandstorms, and integrates synthesizer music.

[0793] 4. The server renders this scene in real time to create the final data.

[0794] 5. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[0795] In this way, the present invention can provide a real-time space experience that is tailored to the user's individual needs.

[0796] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0797] Step 1: Receiving User Input

[0798] The user uses the terminal to input the desired space characteristics. Specifically, the user inputs characteristics such as "Mars," "sandstorm," and "synthesizer music" using a keyboard or voice input. The terminal is provided with a GUI (Graphical User Interface) or voice input interface for inputting this information.

[0799] Input: The desired space feature entered by the user into the device (Mars, sandstorm, synthesizer music)

[0800] Output: Saved as input data on the terminal

[0801] Step 2: Analyze the input data

[0802] The server analyzes the input data received from the device. Specifically, it uses a natural language processing (NLP) algorithm to break down the input data into individual elements (planet, climate, music) and identify each of them. The server uses Python's NLTK library to analyze the input text data and extract "Mars" as a planet, "sandstorm" as a climate, and "synthesizer music" as music.

[0803] Input: User input data sent from the device to the server

[0804] Output: Analyzed element data (planet: Mars, climate: sandstorm, music: synthesizer music)

[0805] Step 3: Generating space data

[0806] The generative AI generates a space scene with specified characteristics based on the analyzed data sent from the server. Specifically, it uses a generative adversarial network (GAN) model to generate detailed visuals of the Martian surface and add the dynamic effect of a sandstorm. The generative AI also uses a music generation algorithm to generate specified synthesizer music. The generative AI performs these generation processes using the Python-based TensorFlow library.

[0807] Input: Analyzed element data (planet: Mars, climate: sandstorm, music: synthesizer music)

[0808] Output: Generated space scene data and synthesizer music data

[0809] Step 4: Rendering the planetarium scene

[0810] The server renders planetarium scenes in real time based on space data generated by generative AI. Specifically, it uses 3D graphics engines such as Unity or Unreal Engine to render the visual scenes, while simultaneously integrating music generated using audio processing engines such as FMOD or Wwise. This allows for the real-time simulation of a Martian dust storm to be synchronized with the synthesized music.

[0811] Input: Generated space scene data and synthesizer music data

[0812] Output: Real-time rendered space scene and integrated music

[0813] Step 5: Provide the scene and music

[0814] The device displays the rendered scene and music sent from the server to the user. Specifically, the device displays the Martian dust storm scene on a high-resolution display and plays the synthesized music through high-quality speakers or headphones. This allows the user to instantly enjoy a customized space experience with specific characteristics. Users can also wear a VR headset for a more immersive experience.

[0815] Input: Real-time rendered space scene and integrated music

[0816] Output: A customized space experience displayed on your device

[0817] (Application example 1)

[0818] 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."

[0819] Conventional virtual store systems have been unable to provide an immersive shopping experience, making it difficult for users to enjoy shopping in a virtual universe customized to their preferences. Furthermore, due to a lack of technology to generate customized spaces in real time and the insufficient ability to quickly render the generated scenes, they have been unable to achieve the realistic experience users expect.

[0820] 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.

[0821] In this invention, the server includes means for a user to input desired space characteristics into a terminal, means for extracting each element, means having a generative AI for generating a space scene based on the specified characteristics, means for rendering the scene in real time and integrating it with music, means for providing the scene to the user, means for generating a virtual shopping area using the generative AI model, and means for providing the virtual shopping area to the user, thereby enabling the user to enjoy a shopping experience in a virtual universe customized to their preferences and wishes.

[0822] "User" means any person who uses the System to experience and interact with the virtual space scene or virtual shopping area.

[0823] "Device" means the device through which a user interacts with the system, including a smartphone or head-mounted display.

[0824] "Server" refers to the central processing unit that analyzes user input data and uses generative AI to generate and render customized space scenes and virtual shopping areas.

[0825] "Generative AI" refers to artificial intelligence technology that generates customized space scenes or virtual shopping areas based on input data.

[0826] "Space scene" refers to a virtual space that visually depicts a space environment according to the user's wishes.

[0827] "Real-time rendering" refers to a technology that processes data from input to display, instantly, and provides users with visual and audio information without delay.

[0828] "Music integration" refers to the process of embedding background music into the generated virtual space.

[0829] "Virtual shopping area" refers to a digital shop where users can explore and purchase products in a virtual space.

[0830] A "prompt" refers to text input that instructs a generative AI to generate a specific output.

[0831] The present invention relates to a system for generating a customized virtual space scene or a virtual shopping area based on the characteristics desired by a user and providing the customized virtual space scene or a virtual shopping area to the user in real time. Specific embodiments for carrying out the present invention will be described below.

[0832] Hardware and Software

[0833] In this embodiment, the following hardware and software are mainly used.

[0834] Hardware: smartphone, head-mounted display (e.g., Oculus Quest), high-resolution display, sound system

[0835] Software: Python, generative AI models (e.g., GPT-4, DALL-E), 3D graphics engines (e.g., Unity, Unreal Engine)

[0836] Data processing and calculation

[0837] The server performs the following data processing and calculations.

[0838] 1. Provide an interface for users to input desired space characteristics into the device. Input methods include text input, voice input, and GUI operation.

[0839] 2. The server receives the input data sent from the device and analyzes it. This analysis breaks down the input information into elements (e.g., location, atmosphere, background music) and formats them as input data for the generative AI model.

[0840] 3. Based on the analyzed data, the generation AI generates a space scene or a virtual shopping area with the specified characteristics. Here, prompts are used to give the AI ​​instructions on how to generate it.

[0841] 4. The server renders the 3D scene in real time based on the generated data, integrates it with background music, and uses a 3D graphics engine (e.g., Unity, Unreal Engine) to achieve realistic visual effects.

[0842] 5. Finally, the generated and rendered scene and music are sent to the device and provided to the user, who can then enjoy this customized virtual experience through their smartphone or head-mounted display.

[0843] Specific examples

[0844] For example, if a user wants to "explore a floating designer store in the center of the galaxy," the process would be as follows:

[0845] 1. The user types "A floating designer store at the center of the galaxy" into the device.

[0846] 2. The server receives this, analyzes it, and breaks it down into the following elements: location "Center of the Galaxy", atmosphere "Floating", store "Designer".

[0847] 3. Based on this data, the generative AI generates a space scene that includes a floating designer store at the center of the galaxy. The generative AI model uses the following prompt: "Generate the virtual universe the user desires, especially including the following features: Location: Center of the galaxy, Atmosphere: Floating, Store: Designer."

[0848] 4. The server renders this scene in real time and integrates it with background music (e.g., "Spacey Fusion").

[0849] 5. Finally, the device displays this virtual shopping area to the user, who can freely explore and purchase products.

[0850] This allows users to enjoy a shopping experience in a virtual universe that is customized to their needs.

[0851] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0852] Step 1:

[0853] The user inputs the desired characteristics of the universe into the terminal.

[0854] Input methods include text input, voice input, and GUI operation. The user can input their desired idea, such as "a floating designer store in the center of the galaxy." This becomes the input data for the program.

[0855] Step 2:

[0856] The server analyzes the input data sent from the terminal.

[0857] The server analyzes the input data and breaks it down into specific elements (e.g., location, atmosphere, store). In this example, the extracted elements are the location "center of the galaxy," the atmosphere "floating," and the store "designer." This is used to construct a prompt sentence to instruct the generative AI model.

[0858] Step 3:

[0859] A generation AI generates a space scene based on specified features.

[0860] The server sends a prompt to the generation AI, which then generates a customized space scene based on that instruction. An example of a prompt is, "Please generate the virtual universe the user desires. Please make sure it includes the following features in particular: Location: Center of the galaxy, Atmosphere: Floating feeling, Store: Designer." The 3D scene data generated by the generation AI is output.

[0861] Step 4:

[0862] The server renders the generated scenes in real time and integrates them with music.

[0863] The server receives the 3D scene data obtained from the generative AI and renders it in real time using a 3D graphics engine (e.g., Unity, Unreal Engine).Furthermore, by seamlessly integrating it with the specified background music (e.g., "Spacey Fusion"), data is generated that provides the user with a high-quality visual and audio experience.

[0864] Step 5:

[0865] The device provides scenes and music to the user.

[0866] The device receives the rendered 3D scene and background music sent from the server and presents it to the user using a high-resolution display and high-quality audio system. Users can explore the generated virtual shopping area, check detailed information about items, and make purchases via a head-mounted display or smartphone.

[0867] 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.

[0868] The present invention relates to a system that combines a service that uses generative AI to instantly create the universe that a user desires with an emotion engine that recognizes the user's emotions. Specific embodiments for carrying out the present invention will be described below.

[0869] Receiving user input

[0870] The user uses the device to input desired space characteristics, such as the name of a particular planet, weather conditions, desired background music, etc. Once the user enters this information into the device, the device transmits it to the server.

[0871] Emotion recognition by emotion engine

[0872] The emotion engine recognizes the user's emotions in real time. It analyzes the user's facial expressions, voice, or biometric signals to identify their current emotions. This emotion data is taken into account during the scene generation process by the server.

[0873] Analysis of input data and emotion data

[0874] The server analyzes the input data received from the device and the emotional data obtained from the emotion engine. The server breaks down the input data into modules such as "planets," "climate," and "music," and identifies each element. At the same time, the server adjusts the generated scene based on the emotional data.

[0875] Space data generation

[0876] The AI ​​generates a specific space scene based on the analyzed data and emotional data sent from the server. For example, if the user's emotional state is "relaxed," the AI ​​selects a calm planetary landscape and calming music. This generates a space scene that matches the emotional state.

[0877] Rendering a planetarium scene

[0878] The server renders planetarium scenes in real time using space data generated by generative AI, using a 3D graphics engine and sound engine to create a high-quality, visually and acoustically consistent presentation.

[0879] Scene and music provided

[0880] The device displays pre-rendered scenes and music data sent from the server to the user, using a high-resolution display and a high-quality audio system to provide a realistic space experience to the user.

[0881] Specific examples

[0882] The following provides a concrete example of implementing the system according to the present invention.

[0883] For example, if the user requests "a space scene with a sandstorm blowing on Mars and synthesizer music" and the current emotion is "excited," the following processing is performed.

[0884] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[0885] 2. The emotion engine analyzes the user's facial expressions and voice and recognizes that the user's emotion is "excitement."

[0886] 3. The server receives this and extracts the planet "Mars", the climate "sandstorm", the music "synthesizer music", and the emotion "excitement".

[0887] 4. Based on this data, a generative AI will integrate Martian landscapes, sandstorm visual effects, and synthesized music based on the user's emotions.

[0888] 5. The server renders this scene in real time to create the final data.

[0889] 6. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[0890] In this way, the present invention can provide a real-time space experience that is tailored to the user's individual desires and emotions.

[0891] The processing flow will be explained below.

[0892] Step 1:

[0893] The user inputs the desired space characteristics using a terminal. For example, the user may specify characteristics such as "Mars," "sandstorm," or "synthesizer music." This input data is then sent from the terminal to the server.

[0894] Step 2:

[0895] The emotion engine recognizes the user's real-time emotions. The emotion engine analyzes video data from the camera, audio data from the microphone, and biometric signals such as heart rate to identify the user's current emotions. For example, it recognizes that the user is "excited."

[0896] Step 3:

[0897] The server receives and analyzes input data sent from the device and emotion data from the emotion engine. The server breaks down the input data into modules such as "planet," "climate," and "music," and adjusts them based on the emotion data. For example, the planet may be identified as "Mars," the climate as "sandstorm," the music as "synthesized music," and the emotion as "excitement."

[0898] Step 4:

[0899] The server sends the analyzed data to the generation AI, which includes the user-specified "planet," "climate," and "music," as well as emotional information such as "excitement" obtained from the emotion engine.

[0900] Step 5:

[0901] The AI ​​generates specific space scenes and music based on the data received from the server. The AI ​​generates space scenes including Martian landscapes and sandstorm visual effects, and selects synthesizer music that enhances excitement based on emotional data. This allows for a customized space experience that matches the user's emotions.

[0902] Step 6:

[0903] The server renders planetarium scenes in real time based on space scene data generated by generative AI, using a 3D graphics engine and sound engine to deliver high-quality visual and audio presentations.

[0904] Step 7:

[0905] The server sends the rendered scene and music data to the device, compressing it for high-speed transfer.

[0906] Step 8:

[0907] The terminal receives and displays the scene and music data sent from the server, and uses a high-resolution display and a high-quality audio system to provide users with a realistic space experience.

[0908] In this way, it is possible to instantly provide a customized space planetarium experience based on the user's individual requests and emotions. For example, if a user requests a space scene of a sandstorm on Mars and synthesizer music, and the emotion engine detects an "excited" state, it can generate and display a scene and music that responds to the user's request and emotion in real time.

[0909] Example 2

[0910] 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."

[0911] Conventional space experience generation systems have struggled to customize the experience based on the user's detailed wishes and emotions. In particular, real-time scene generation that reflects the user's emotions is challenging, and it often fails to fully meet the needs of individual users. Furthermore, integrating scenes with music and high-quality real-time rendering have also been issues.

[0912] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for a user to input desired space characteristics into a terminal, means for analyzing the input data from the terminal and extracting each element, means for an emotion engine to recognize the user's emotion and send it to the server, means for analyzing the emotion data and adjusting the scene and music, means for a generation AI to generate a space scene based on the specified characteristics and the recognized emotion, means for rendering the generated scene in real time and integrating it with music, and means for the terminal to provide the scene and music to the user. This enables a real-time customized space experience based on the user's individual wishes and emotions.

[0913] A "user" is an individual or group that uses the system and inputs the desired space characteristics and planetarium experience into the terminal.

[0914] A "terminal" is a hardware device that allows users to input information and transmits the characteristics of the universe and emotional data to a server through an interface.

[0915] The "server" is a central processing unit that receives and analyzes input data and emotional data from users, and generates and renders space scenes based on that data.

[0916] "Input data" refers to information entered by a user through a terminal, including detailed characteristics of a particular planet, weather conditions, desired background music, etc.

[0917] The "Emotion Engine" is a system that identifies a user's emotions in real time by analyzing their facial expressions, voice, and biometric signals.

[0918] "Emotion data" refers to the user's emotional state as recognized by the emotion engine, and is information that is sent to the server and taken into account when generating a scene.

[0919] "Generative AI" is an artificial intelligence technology that generates space scenes based on input data and emotional data from the server, and fine-tunes the atmosphere and music of the scene.

[0920] "Rendering" is the process of using a 3D graphics engine and sound engine to create a high-quality visual and audio representation of the space scene generated by generative AI in real time.

[0921] "Scene" refers to a visual and acoustic representation of space that the generative AI creates based on input data and emotional data to provide a planetarium experience.

[0922] The present invention relates to a system that combines a service that uses generative AI to instantly create the universe that a user desires with an emotion engine that recognizes the user's emotions. Specific embodiments for carrying out the present invention will be described below.

[0923] Receiving user input

[0924] The user uses the device to input desired space characteristics. The user interacts with the device's interface and inputs information such as the name of a specific planet, weather conditions, and desired background music. For example, the user might input "Mars," "sandstorm," and "synthesizer music." This information is packaged in JSON format and sent to the server in the next step.

[0925] Emotion recognition by emotion engine

[0926] The emotion engine recognizes the user's emotions in real time. The device's camera and microphone capture the user's facial expressions and voice, which the emotion engine analyzes to identify the user's current emotion. For example, the emotion engine analyzes the user's facial expressions and voice and identifies the emotion as "excited." This emotion data is sent to the server.

[0927] Analysis of input data and emotion data

[0928] The server analyzes the input data received from the device and the emotion data obtained from the emotion engine. The server breaks down the input data into modules such as "planets," "climate," and "music," and identifies each element. At the same time, the scene to be generated is adjusted based on the emotion data. For example, a scene template is created based on the elements "Mars," "sandstorm," and "synthesizer music" and the emotion data "excitement."

[0929] Space data generation

[0930] The generative AI generates specific space scenes based on analyzed data and emotional data sent from the server. When generating space scenes with specific characteristics, the generative AI fine-tunes them to match the user's emotions. For example, using "Mars," "sandstorm," "synthesizer music," and "excitement" as input, it generates dynamic synthesizer music and the visuals of an intense sandstorm.

[0931] Rendering a planetarium scene

[0932] The server renders planetarium scenes in real time based on space data generated by generative AI, using a 3D graphics engine (e.g., Unity, Unreal Engine) and a sound engine (e.g., FMOD, WWise) to achieve high-quality visual and audio presentations.

[0933] Scene and music provided

[0934] The terminal displays the rendered scene and music data sent from the server to the user, using a high-resolution display and a high-quality audio system to provide a realistic space experience, allowing users to enjoy a customized space planetarium experience according to their wishes.

[0935] Specific examples

[0936] The following provides a concrete example of implementing the system according to the present invention.

[0937] For example, if the user requests "a space scene with a sandstorm blowing on Mars and synthesizer music" and the current emotion is "excited," the following processing is performed.

[0938] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[0939] 2. The emotion engine analyzes the user's facial expressions and voice and recognizes that the user's emotion is "excitement."

[0940] 3. The server receives this and extracts the planet "Mars", the climate "sandstorm", the music "synthesizer music", and the emotion "excitement".

[0941] 4. Based on this data, a generative AI will integrate Martian landscapes, sandstorm visual effects, and synthesized music based on the user's emotions.

[0942] 5. The server renders this scene in real time to create the final data.

[0943] 6. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[0944] This process allows for a customized, real-time space experience based on the user's individual desires and current emotions.

[0945] Prompts and Sentence Examples

[0946] Below are some examples of prompt sentences:

[0947] Entering "Mars," "sandstorm," "synthesizer music," and "excitement" will generate related space scenes.

[0948] The above is a specific embodiment for carrying out the present invention.

[0949] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0950] Step 1:

[0951] The user inputs desired space characteristics into the device. The user enters information into the device interface, such as the name of a specific planet, weather conditions, and desired background music. The input information is packaged in JSON format. For example, if the user inputs "Mars," "sandstorm," and "synthesizer music," this information is compiled into a single JSON data and sent to the server.

[0952] Input: Information that the user types into the device (e.g., "Mars," "sandstorm," "synthesizer music")

[0953] Output: Data sent from the device to the server (JSON format)

[0954] Step 2:

[0955] The server analyzes the input data received from the device and extracts each element. Specifically, the server parses the received JSON data and separates the elements of planet, climate, and music. This process allows the input data to be classified by its components. For example, the elements "Mars," "sandstorm," and "synthesizer music" are extracted.

[0956] Input: JSON data sent from the terminal

[0957] Output: Analyzed data (planet: "Mars", climate: "sandstorm", music: "synthesizer music")

[0958] Step 3:

[0959] The emotion engine recognizes the user's emotions in real time. It uses the device's camera and microphone to capture the user's facial expressions and voice, and analyzes them to identify the user's current emotion. For example, the emotion engine analyzes the user's facial expressions and voice and recognizes them as "excited." This recognized emotion data is sent to the server.

[0960] Input: User's facial and voice data

[0961] Output: Emotion data (e.g., "excited")

[0962] Step 4:

[0963] The server analyzes the emotion data received from the emotion engine and adjusts the scene. Specifically, the server integrates the emotion data with the data extracted in step 2 to create a template to be passed to the generative AI. For example, if the emotion data is "excitement," the server dynamically adjusts the visual and music selection.

[0964] Input: Emotion data (e.g., "Excitement"), analyzed data (planet: "Mars", climate: "Sandstorm", music: "Synthesizer music")

[0965] Output: Merged template data

[0966] Step 5:

[0967] The generative AI generates space scenes based on the integrated template data. The generative AI integrates 3D graphics and music to generate space scenes based on specified characteristics and emotions. For example, using the input data "Mars," "sandstorm," "synthesizer music," and "excitement," it generates dynamic 3D scenes and synthesizer music.

[0968] Input: Integrated template data

[0969] Output: Generated space scene data

[0970] Step 6:

[0971] The server renders the generated space scene data in real time using a 3D graphics engine (e.g., Unity, Unreal Engine) and a sound engine (e.g., FMOD, WWise), providing a high-quality visual and sound experience.

[0972] Input: Generated space scene data

[0973] Output: Rendered scene graphics and audio data

[0974] Step 7:

[0975] The device provides users with pre-rendered scenes and music, which are then displayed in real time on a high-resolution display and high-quality audio system, allowing users to enjoy a customized space planetarium experience.

[0976] Input: Rendered scene graphics and audio data

[0977] Output: A visual and audio space experience provided to the user.

[0978] The above steps result in a customized, real-time space experience based on the user's individual desires and current emotions.

[0979] (Application example 2)

[0980] 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."

[0981] While conventional space experience systems allow customization based on user-defined characteristics, they are unable to reflect the user's emotions in real time. This makes it difficult for users to obtain a more realistic and emotionally relevant experience. Furthermore, it is difficult to instantly generate and display high-quality space scenes based on input data.

[0982] 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.

[0983] In this invention, the server includes: a means for a user to input desired space characteristics into a terminal; a means in which the terminal includes an emotion engine that recognizes the user's emotions; a means in which the server analyzes the input data and emotion data and extracts each element; a means in which a generation AI generates a space scene based on the specified characteristics and emotion data; a means in which the server renders the generated scene in real time and integrates it with music; and a means in which the terminal provides the scene and music to the user, thereby enabling a customized real-time space experience based on the user's emotions and wishes.

[0984] A "terminal" is a device through which a user sends input data and receives generated scenes and music visually and audibly.

[0985] The "emotion engine" is an analytical engine that analyzes the user's facial expressions, voice, or biometric signals to identify their current emotions.

[0986] The "server" is a central system that analyzes input data and emotion data sent by users and allows the generative AI to generate and render scenes based on that data.

[0987] "Generative AI" is an artificial intelligence that generates space scenes with specified characteristics based on user input data and emotional data.

[0988] "Rendering" is the process of drawing the generated space scene in real time in a visually and aurally consistent format.

[0989] "Music" is an auditory element that is selected by the generative AI based on the user's wishes and emotions and provided along with the scene.

[0990] "Real-time" refers to a time frame in which scenes are generated and presented instantly based on user input and emotional data.

[0991] "Space Scenes" are visual and auditory experiences with specific planets, climates, and other characteristics created by generative AI based on user input and emotional data.

[0992] "Data analysis" is the process by which the server examines the input data and emotion data it receives, and extracts and identifies each element.

[0993] This invention relates to a system in which a user inputs desired space characteristics, an emotion engine recognizes the user's emotions in real time, and a generation AI generates a specific space scene based on the input. Specific embodiments for implementing this invention will be described below.

[0994] System configuration

[0995] 1. Device:

[0996] A device that allows a user to input desired space characteristics, including a smartphone, tablet, or other input and display device, equipped with a camera and microphone to capture the user's facial expressions and voice.

[0997] 2. Emotion Engine:

[0998] The engine uses a camera and microphone to analyze the user's facial expressions, voice, and biometric signals to recognize the user's emotions in real time. Specifically, it can use Microsoft's facial recognition API and voice analysis technology.

[0999] 3. Server:

[1000] It receives and analyzes input data and emotional data sent by users, and breaks down the input data into modules such as "planets," "climate," and "music," allowing the generative AI to instantly generate space scenes.

[1001] 4. Generation AI:

[1002] It is an artificial intelligence that generates specific space scenes based on input data and emotion data, using adaptive generative models such as OpenAI's GPT-4 and Unity's 3D scene generation engine.

[1003] 5. Client-side software:

[1004] It provides a user interface and visually and aurally delivers music integrated with the generated space scene.

[1005] Processing flow

[1006] 1. User Input and Emotion Recognition:

[1007] The user uses the device to input the desired space characteristics, such as "Mars," "sandstorm," or "synthesizer music," while the emotion engine simultaneously captures emotion data from the user's facial expressions and voice.

[1008] 2. Data transmission and analysis:

[1009] The device sends this data to a server, which analyzes the input data, extracts planetary, climate, and musical elements, and handles emotional data together.

[1010] 3. Space scene generation:

[1011] The generative AI then uses this data to generate specific space scenes, depicting things like tranquil landscapes or violent sandstorms, and selecting music such as synthesized music based on the input data.

[1012] 4. Rendering and displaying the scene:

[1013] The server renders the generated space scene in real time, producing a high-quality scene with consistent visual and auditory quality, and sends this data to the device for display to the user.

[1014] Specific examples

[1015] If a user wants to experience a space planetarium, they can input something like "a scene of a sandstorm on Mars with synthesizer music." If the emotion engine recognizes the user's emotion as "excitement," the generative AI will select a scene of a violent sandstorm on Mars and music that evokes excitement. This allows users to enjoy a customized space experience in real time.

[1016] Prompt Sentence Examples

[1017] "Show me a space scene with a dust storm on Mars and some synthesizer music, but make sure you're responding to the user's emotional arousal."

[1018] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1019] Step 1:

[1020] Users input their desired space characteristics into the device. Specifically, there is an input field where users can input desired characteristics such as "Mars," "sandstorm," or "synthesizer music" using a device such as a smartphone or tablet. This clarifies the user's desired conditions. The input data is temporarily saved in the device in a data format such as JSON.

[1021] Step 2:

[1022] The device uses a camera and microphone to recognize the user's emotions. While the user is typing, the emotion engine captures the user's facial expressions and voice through the camera and microphone and analyzes them in real time. This analysis uses facial recognition software and voice analysis algorithms to determine the user's current emotional state.

[1023] Step 3:

[1024] The device sends the user's input data and emotion data to the server. The input data and emotion data are packaged as a JSON-formatted data packet and sent to the server via the Internet. The transmission process can use HTTP or WebSocket as the communication protocol.

[1025] Step 4:

[1026] The server analyzes the input data and emotion data and extracts each element. The server first parses the received data and stores the elements "planets," "climate," and "music" in a database. At the same time, it analyzes the emotion data and extracts scene generation parameters appropriate for that emotion.

[1027] Step 5:

[1028] The generative AI generates a space scene based on the input data and emotion data. The server passes the extracted data and emotion data to the generative AI. The generative AI uses OpenAI's GPT-4 model to generate prompts based on the input data and emotion data and come up with a design for a specific space scene.

[1029] Step 6:

[1030] The server renders the generated scene in real time and integrates it with music. Using a 3D graphics engine such as Unity, the generated space scene is rendered in real time with high quality. At this time, music data is selected to match the emotion and scene, and synchronized with the graphics.

[1031] Step 7:

[1032] The device receives the rendered scene and music from the server and displays it to the user. Based on the received data, the device displays a realistic space scene on the screen while simultaneously playing music through a high-quality audio system, allowing users to enjoy a customized space experience.

[1033] Specific operations and data flow

[1034] An example of input data for step 1 would be:

[1035] {"planet": "Mars", "climate": "sandstorm", "music": "synthesizer music"}

[1036] The emotion data generated by the emotion engine in step 2 is as follows:

[1037] {"emotion": "excitement"}

[1038] In step 3, the user input data and emotion data are sent to the server:

[1039] { "userInput": {"planet": "Mars", "climate": "sandstorm", "music": "synthesizer music"}, "emotionData": {"emotion": "excitement"}}

[1040] Step 4: The server analyzes the data:

[1041] Extracted data: {"planet": "Mars", "climate": "sandstorm", "music": "synthesizer music", "emotion": "excitement"}

[1042] Example prompt for the generated AI to generate a scene in step 5:

[1043] "Show me a space scene with a dust storm on Mars and some synthesizer music, but make sure you're responding to the user's emotional arousal."

[1044] Step 6 of the rendering process using Unity:

[1045] Input model: UnityModel(planet="Mars", climate="sandstorm", emotion="excitement")

[1046] Output Scene: RenderedScene(data)

[1047] Final display at step 7:

[1048] The terminal performs the display and playback.

[1049] Through this series of processing steps, users can enjoy a customized space experience based on their emotions in real time.

[1050] 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.

[1051] 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.

[1052] 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.

[1053] [Fourth embodiment]

[1054] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1055] 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.

[1056] 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).

[1057] 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.

[1058] 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.

[1059] 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).

[1060] 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.

[1061] 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.

[1062] 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.

[1063] 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.

[1064] 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.

[1065] 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.

[1066] 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."

[1067] The present invention relates to a service that uses generation AI to instantly create the universe that a user desires. Specific embodiments for carrying out the present invention will be described below.

[1068] Receiving user input

[1069] The user uses the terminal to input desired space characteristics, such as the name of a particular planet, climatic conditions, desired background music, etc. The terminal is provided with a GUI (graphical user interface) or a voice input interface for inputting this information.

[1070] Analyzing input data

[1071] The server analyzes the input data received from the device, breaking down the information into individual elements (planets, climate, music) and preparing them for the next processing step. The server identifies these data elements and checks for missing information.

[1072] Space data generation

[1073] The AI ​​then generates a space scene with the specified characteristics based on the analyzed data sent from the server. This process combines detailed visual information about the planet, environmental depictions that reflect the effects of climate, and the specified music. The generated data is visually and acoustically consistent and of high quality.

[1074] Rendering a planetarium scene

[1075] The server renders the planetarium scene in real time based on the space data generated by the generative AI. This rendering process uses a 3D graphics engine and an audio processing engine. The scene and music are integrated to create the final data that provides the realistic space experience users expect.

[1076] Scene and music provided

[1077] The device displays pre-rendered scenes and music sent from the server to the user, allowing them to instantly enjoy a customized space experience with specific characteristics. The display on the device uses a high-resolution display and a high-quality audio system.

[1078] Specific examples

[1079] The following provides a concrete example of implementing the system according to the present invention.

[1080] For example, if a user requests "a space scene of a sandstorm on Mars with synthesizer music," the following process is performed:

[1081] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[1082] 2. The server receives this and extracts the planet "Mars", the climate "sandstorm", and the music "synthesizer music".

[1083] 3. Based on this data, a generative AI generates a space scene including the Martian landscape and sandstorms, and integrates synthesizer music.

[1084] 4. The server renders this scene in real time to create the final data.

[1085] 5. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[1086] In this way, the present invention can provide a real-time space experience that is tailored to the user's individual needs.

[1087] The processing flow will be explained below.

[1088] Step 1:

[1089] The user uses the device to input desired space characteristics, such as "Mars," "sandstorm," or "synthesizer music," and the device receives this input and transmits it directly to the server.

[1090] Step 2:

[1091] The server analyzes the input data received from the user. The server breaks down the input data into modules such as "planets," "climate," and "music," and identifies each element. For example, "planets" contains information such as "Mars," "climate" contains information such as "sandstorms," ​​and "music" contains information such as "synthesizer music."

[1092] Step 3:

[1093] The server sends the analyzed data to the generation AI, which includes information about the planet, climate, and music specified by the user.

[1094] Step 4:

[1095] The AI ​​generator generates a specific space scene based on the data received from the server. For example, it integrates the red surface of Mars, sandstorm visual effects, and synthesizer music. The generated space scene data is of high visual and acoustic quality.

[1096] Step 5:

[1097] The server receives the generated space scene data and processes it for real-time rendering, using a 3D graphics engine and a sound engine to create a visual and audio representation.

[1098] Step 6:

[1099] The server transmits the rendered scene and music data to the device in real time, and this information is the final data for the user to enjoy a customized space experience.

[1100] Step 7:

[1101] The device displays the scene and music data sent from the server, using a high-resolution display and a high-quality audio system to provide users with a realistic space experience, allowing them to instantly experience the specific space environment they desire.

[1102] In this way, each step of the program works together to create a customized space planetarium experience based on the user's individual requirements.

[1103] Example 1

[1104] 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."

[1105] Conventional space experience systems lacked the ability to customize to the user's preferences, and the generated scenes and music relied on fixed templates, making it difficult to meet the needs of individual users. Furthermore, providing high-quality scenes and music in real time required a great deal of manual work and complex settings, which compromised the user experience. Therefore, there was a need for a system that allowed users to easily input their desired features and enjoy a high-quality space experience customized in real time.

[1106] 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.

[1107] In this invention, the server includes means for a user to input desired space characteristics into a terminal, means for the server to analyze the input data and extract each element, means for a generation AI to generate a space scene based on the specified characteristics, means for the server to render the generated scene in real time and integrate it with music, and means for the terminal to provide the scene and music to the user, thereby making it possible to provide a visually and acoustically consistent, high-quality space experience in real time based on the specific characteristics input by the user.

[1108] A "user" is a person who uses the system and inputs desired characteristics of the universe into a terminal.

[1109] The "terminal" is a device that allows the user to input desired space characteristics and display the generated scenes and music.

[1110] The "server" is a central processing unit that receives input data from users, analyzes it, generates space scenes using generative AI, and renders them in real time.

[1111] "Generative AI" is an artificial intelligence model that generates space scenes with specified characteristics based on analyzed data sent from the server.

[1112] "Input data" refers to information about desired characteristics of the universe that is input by a user using a terminal.

[1113] "Analysis" is the process in which the server breaks down input data into individual elements and extracts the necessary information.

[1114] A "space scene" is a visual and acoustic virtual space with specified characteristics generated by a generative AI.

[1115] "Real-time rendering" is the process of instantly visualizing generated space scenes and integrating them with sound.

[1116] "Music" is an acoustic expression that accompanies the space scene desired by the user, and is generated by generative AI.

[1117] A "high resolution display" is a display device on which the terminal displays the generated space scene at high resolution.

[1118] A "high quality audio system" is an audio device that allows a terminal to play music generated by the terminal with high quality sound.

[1119] The present invention relates to a service that uses generation AI to instantly create the universe that a user desires. Specific embodiments for carrying out the present invention will be described below.

[1120] Receiving user input

[1121] The user uses the terminal to input the desired space characteristics. The terminal is provided with a GUI (graphical user interface) or a voice input interface for inputting this information. Specifically, a screen is displayed where the user can input characteristics such as "Mars," "sandstorm," and "synthesizer music" using a keyboard or voice input.

[1122] Analyzing input data

[1123] The server analyzes the input data received from the terminal. This involves breaking down the input data into individual elements such as planets, climate, and music, and organizing each piece of data. Specifically, the server uses natural language processing (NLP) algorithms to analyze the text of the input data and extract each element. For example, the NLTK library in Python is used as the natural language processing technology to identify the word "Mars" as a planet, "sandstorm" as a climate, and "synthesizer music" as music.

[1124] Space data generation

[1125] The generative AI generates space scenes with specified characteristics based on the analyzed data sent from the server. Specifically, it uses a generative adversarial network (GAN) model to generate detailed visuals of the Martian surface and add the dynamic effect of a sandstorm. The generative AI also uses a music generation algorithm to generate specified synthesizer music. The generative AI performs these generation processes using the Python-based TensorFlow library.

[1126] Rendering a planetarium scene

[1127] The server renders the planetarium scene in real time using space data generated by generative AI, using 3D graphics engines such as Unity or Unreal Engine and audio processing engines such as FMOD or Wwise, enabling the real-time simulation of a Martian dust storm to be synchronized with the synthesized music.

[1128] Scene and music provided

[1129] The device displays the rendered scene and music sent from the server to the user, allowing the user to instantly enjoy a customized space experience with specific characteristics. Specifically, the device displays a Martian dust storm scene on a high-resolution display, while simultaneously playing synthesized music through high-quality speakers or headphones. Users can also wear a VR headset for a more immersive experience.

[1130] Specific examples

[1131] The following provides a concrete example of implementing the system according to the present invention.

[1132] For example, if the user wanted "a space scene of a dust storm on Mars with synthesizer music," the following prompt could be used:

[1133] Prompt: "Generate a space scene with a dust storm on Mars accompanied by synthesizer music."

[1134] Based on this prompt, the following processing is performed:

[1135] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[1136] 2. The server receives this and extracts the planet "Mars", the climate "sandstorm", and the music "synthesizer music".

[1137] 3. Based on this data, a generative AI generates a space scene including the Martian landscape and sandstorms, and integrates synthesizer music.

[1138] 4. The server renders this scene in real time to create the final data.

[1139] 5. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[1140] In this way, the present invention can provide a real-time space experience that is tailored to the user's individual needs.

[1141] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1142] Step 1: Receiving User Input

[1143] The user uses the terminal to input the desired space characteristics. Specifically, the user inputs characteristics such as "Mars," "sandstorm," and "synthesizer music" using a keyboard or voice input. The terminal is provided with a GUI (Graphical User Interface) or voice input interface for inputting this information.

[1144] Input: The desired space feature entered by the user into the device (Mars, sandstorm, synthesizer music)

[1145] Output: Saved as input data on the terminal

[1146] Step 2: Analyze the input data

[1147] The server analyzes the input data received from the device. Specifically, it uses a natural language processing (NLP) algorithm to break down the input data into individual elements (planet, climate, music) and identify each of them. The server uses Python's NLTK library to analyze the input text data and extract "Mars" as a planet, "sandstorm" as a climate, and "synthesizer music" as music.

[1148] Input: User input data sent from the device to the server

[1149] Output: Analyzed element data (planet: Mars, climate: sandstorm, music: synthesizer music)

[1150] Step 3: Generating space data

[1151] The generative AI generates a space scene with specified characteristics based on the analyzed data sent from the server. Specifically, it uses a generative adversarial network (GAN) model to generate detailed visuals of the Martian surface and add the dynamic effect of a sandstorm. The generative AI also uses a music generation algorithm to generate specified synthesizer music. The generative AI performs these generation processes using the Python-based TensorFlow library.

[1152] Input: Analyzed element data (planet: Mars, climate: sandstorm, music: synthesizer music)

[1153] Output: Generated space scene data and synthesizer music data

[1154] Step 4: Rendering the planetarium scene

[1155] The server renders planetarium scenes in real time based on space data generated by generative AI. Specifically, it uses 3D graphics engines such as Unity or Unreal Engine to render the visual scenes, while simultaneously integrating music generated using audio processing engines such as FMOD or Wwise. This allows for the real-time simulation of a Martian dust storm to be synchronized with the synthesized music.

[1156] Input: Generated space scene data and synthesizer music data

[1157] Output: Real-time rendered space scene and integrated music

[1158] Step 5: Provide the scene and music

[1159] The device displays the rendered scene and music sent from the server to the user. Specifically, the device displays the Martian dust storm scene on a high-resolution display and plays the synthesized music through high-quality speakers or headphones. This allows the user to instantly enjoy a customized space experience with specific characteristics. Users can also wear a VR headset for a more immersive experience.

[1160] Input: Real-time rendered space scene and integrated music

[1161] Output: A customized space experience displayed on your device

[1162] (Application example 1)

[1163] 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."

[1164] Conventional virtual store systems have been unable to provide an immersive shopping experience, making it difficult for users to enjoy shopping in a virtual universe customized to their preferences. Furthermore, due to a lack of technology to generate customized spaces in real time and the insufficient ability to quickly render the generated scenes, they have been unable to achieve the realistic experience users expect.

[1165] 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.

[1166] In this invention, the server includes means for a user to input desired space characteristics into a terminal, means for extracting each element, means having a generative AI for generating a space scene based on the specified characteristics, means for rendering the scene in real time and integrating it with music, means for providing the scene to the user, means for generating a virtual shopping area using the generative AI model, and means for providing the virtual shopping area to the user, thereby enabling the user to enjoy a shopping experience in a virtual universe customized to their preferences and wishes.

[1167] "User" means any person who uses the System to experience and interact with the virtual space scene or virtual shopping area.

[1168] "Device" means the device through which a user interacts with the system, including a smartphone or head-mounted display.

[1169] "Server" refers to the central processing unit that analyzes user input data and uses generative AI to generate and render customized space scenes and virtual shopping areas.

[1170] "Generative AI" refers to artificial intelligence technology that generates customized space scenes or virtual shopping areas based on input data.

[1171] "Space scene" refers to a virtual space that visually depicts a space environment according to the user's wishes.

[1172] "Real-time rendering" refers to a technology that processes data from input to display, instantly, and provides users with visual and audio information without delay.

[1173] "Music integration" refers to the process of embedding background music into the generated virtual space.

[1174] "Virtual shopping area" refers to a digital shop where users can explore and purchase products in a virtual space.

[1175] A "prompt" refers to text input that instructs a generative AI to generate a specific output.

[1176] The present invention relates to a system for generating a customized virtual space scene or a virtual shopping area based on the characteristics desired by a user and providing the customized virtual space scene or a virtual shopping area to the user in real time. Specific embodiments for carrying out the present invention will be described below.

[1177] Hardware and Software

[1178] In this embodiment, the following hardware and software are mainly used.

[1179] Hardware: smartphone, head-mounted display (e.g., Oculus Quest), high-resolution display, sound system

[1180] Software: Python, generative AI models (e.g., GPT-4, DALL-E), 3D graphics engines (e.g., Unity, Unreal Engine)

[1181] Data processing and calculation

[1182] The server performs the following data processing and calculations.

[1183] 1. Provide an interface for users to input desired space characteristics into the device. Input methods include text input, voice input, and GUI operation.

[1184] 2. The server receives the input data sent from the device and analyzes it. This analysis breaks down the input information into elements (e.g., location, atmosphere, background music) and formats them as input data for the generative AI model.

[1185] 3. Based on the analyzed data, the generation AI generates a space scene or a virtual shopping area with the specified characteristics. Here, prompts are used to give the AI ​​instructions on how to generate it.

[1186] 4. The server renders the 3D scene in real time based on the generated data, integrates it with background music, and uses a 3D graphics engine (e.g., Unity, Unreal Engine) to achieve realistic visual effects.

[1187] 5. Finally, the generated and rendered scene and music are sent to the device and provided to the user, who can then enjoy this customized virtual experience through their smartphone or head-mounted display.

[1188] Specific examples

[1189] For example, if a user wants to "explore a floating designer store in the center of the galaxy," the process would be as follows:

[1190] 1. The user types "A floating designer store at the center of the galaxy" into the device.

[1191] 2. The server receives this, analyzes it, and breaks it down into the following elements: location "Center of the Galaxy", atmosphere "Floating", store "Designer".

[1192] 3. Based on this data, the generative AI generates a space scene that includes a floating designer store at the center of the galaxy. The generative AI model uses the following prompt: "Generate the virtual universe the user desires, especially including the following features: Location: Center of the galaxy, Atmosphere: Floating, Store: Designer."

[1193] 4. The server renders this scene in real time and integrates it with background music (e.g., "Spacey Fusion").

[1194] 5. Finally, the device displays this virtual shopping area to the user, who can freely explore and purchase products.

[1195] This allows users to enjoy a shopping experience in a virtual universe that is customized to their needs.

[1196] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1197] Step 1:

[1198] The user inputs the desired characteristics of the universe into the terminal.

[1199] Input methods include text input, voice input, and GUI operation. The user can input their desired idea, such as "a floating designer store in the center of the galaxy." This becomes the input data for the program.

[1200] Step 2:

[1201] The server analyzes the input data sent from the terminal.

[1202] The server analyzes the input data and breaks it down into specific elements (e.g., location, atmosphere, store). In this example, the extracted elements are the location "center of the galaxy," the atmosphere "floating," and the store "designer." This is used to construct a prompt sentence to instruct the generative AI model.

[1203] Step 3:

[1204] A generation AI generates a space scene based on specified features.

[1205] The server sends a prompt to the generation AI, which then generates a customized space scene based on that instruction. An example of a prompt is, "Please generate the virtual universe the user desires. Please make sure it includes the following features in particular: Location: Center of the galaxy, Atmosphere: Floating feeling, Store: Designer." The 3D scene data generated by the generation AI is output.

[1206] Step 4:

[1207] The server renders the generated scenes in real time and integrates them with music.

[1208] The server receives the 3D scene data obtained from the generative AI and renders it in real time using a 3D graphics engine (e.g., Unity, Unreal Engine).Furthermore, by seamlessly integrating it with the specified background music (e.g., "Spacey Fusion"), data is generated that provides the user with a high-quality visual and audio experience.

[1209] Step 5:

[1210] The device provides scenes and music to the user.

[1211] The device receives the rendered 3D scene and background music sent from the server and presents it to the user using a high-resolution display and high-quality audio system. Users can explore the generated virtual shopping area, check detailed information about items, and make purchases via a head-mounted display or smartphone.

[1212] 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.

[1213] The present invention relates to a system that combines a service that uses generative AI to instantly create the universe that a user desires with an emotion engine that recognizes the user's emotions. Specific embodiments for carrying out the present invention will be described below.

[1214] Receiving user input

[1215] The user uses the device to input desired space characteristics, such as the name of a particular planet, weather conditions, desired background music, etc. Once the user enters this information into the device, the device transmits it to the server.

[1216] Emotion recognition by emotion engine

[1217] The emotion engine recognizes the user's emotions in real time. It analyzes the user's facial expressions, voice, or biometric signals to identify their current emotions. This emotion data is taken into account during the scene generation process by the server.

[1218] Analysis of input data and emotion data

[1219] The server analyzes the input data received from the device and the emotional data obtained from the emotion engine. The server breaks down the input data into modules such as "planets," "climate," and "music," and identifies each element. At the same time, the server adjusts the generated scene based on the emotional data.

[1220] Space data generation

[1221] The AI ​​generates a specific space scene based on the analyzed data and emotional data sent from the server. For example, if the user's emotional state is "relaxed," the AI ​​selects a calm planetary landscape and calming music. This generates a space scene that matches the emotional state.

[1222] Rendering a planetarium scene

[1223] The server renders planetarium scenes in real time using space data generated by generative AI, using a 3D graphics engine and sound engine to create a high-quality, visually and acoustically consistent presentation.

[1224] Scene and music provided

[1225] The device displays pre-rendered scenes and music data sent from the server to the user, using a high-resolution display and a high-quality audio system to provide a realistic space experience to the user.

[1226] Specific examples

[1227] The following provides a concrete example of implementing the system according to the present invention.

[1228] For example, if the user requests "a space scene with a sandstorm blowing on Mars and synthesizer music" and the current emotion is "excited," the following processing is performed.

[1229] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[1230] 2. The emotion engine analyzes the user's facial expressions and voice and recognizes that the user's emotion is "excitement."

[1231] 3. The server receives this and extracts the planet "Mars", the climate "sandstorm", the music "synthesizer music", and the emotion "excitement".

[1232] 4. Based on this data, a generative AI will integrate Martian landscapes, sandstorm visual effects, and synthesized music based on the user's emotions.

[1233] 5. The server renders this scene in real time to create the final data.

[1234] 6. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[1235] In this way, the present invention can provide a real-time space experience that is tailored to the user's individual desires and emotions.

[1236] The processing flow will be explained below.

[1237] Step 1:

[1238] The user inputs the desired space characteristics using a terminal. For example, the user may specify characteristics such as "Mars," "sandstorm," or "synthesizer music." This input data is then sent from the terminal to the server.

[1239] Step 2:

[1240] The emotion engine recognizes the user's real-time emotions. The emotion engine analyzes video data from the camera, audio data from the microphone, and biometric signals such as heart rate to identify the user's current emotions. For example, it recognizes that the user is "excited."

[1241] Step 3:

[1242] The server receives and analyzes input data sent from the device and emotion data from the emotion engine. The server breaks down the input data into modules such as "planet," "climate," and "music," and adjusts them based on the emotion data. For example, the planet may be identified as "Mars," the climate as "sandstorm," the music as "synthesized music," and the emotion as "excitement."

[1243] Step 4:

[1244] The server sends the analyzed data to the generation AI, which includes the user-specified "planet," "climate," and "music," as well as emotional information such as "excitement" obtained from the emotion engine.

[1245] Step 5:

[1246] The AI ​​generates specific space scenes and music based on the data received from the server. The AI ​​generates space scenes including Martian landscapes and sandstorm visual effects, and selects synthesizer music that enhances excitement based on emotional data. This allows for a customized space experience that matches the user's emotions.

[1247] Step 6:

[1248] The server renders planetarium scenes in real time based on space scene data generated by generative AI, using a 3D graphics engine and sound engine to deliver high-quality visual and audio presentations.

[1249] Step 7:

[1250] The server sends the rendered scene and music data to the device, compressing it for high-speed transfer.

[1251] Step 8:

[1252] The terminal receives and displays the scene and music data sent from the server, and uses a high-resolution display and a high-quality audio system to provide users with a realistic space experience.

[1253] In this way, it is possible to instantly provide a customized space planetarium experience based on the user's individual requests and emotions. For example, if a user requests a space scene of a sandstorm on Mars and synthesizer music, and the emotion engine detects an "excited" state, it can generate and display a scene and music that responds to the user's request and emotion in real time.

[1254] Example 2

[1255] 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."

[1256] Conventional space experience generation systems have struggled to customize the experience based on the user's detailed wishes and emotions. In particular, real-time scene generation that reflects the user's emotions is challenging, and it often fails to fully meet the needs of individual users. Furthermore, integrating scenes with music and high-quality real-time rendering have also been issues.

[1257] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for a user to input desired space characteristics into a terminal, means for analyzing the input data from the terminal and extracting each element, means for an emotion engine to recognize the user's emotion and send it to the server, means for analyzing the emotion data and adjusting the scene and music, means for a generation AI to generate a space scene based on the specified characteristics and the recognized emotion, means for rendering the generated scene in real time and integrating it with music, and means for the terminal to provide the scene and music to the user. This enables a real-time customized space experience based on the user's individual wishes and emotions.

[1258] A "user" is an individual or group that uses the system and inputs the desired space characteristics and planetarium experience into the terminal.

[1259] A "terminal" is a hardware device that allows users to input information and transmits the characteristics of the universe and emotional data to a server through an interface.

[1260] The "server" is a central processing unit that receives and analyzes input data and emotional data from users, and generates and renders space scenes based on that data.

[1261] "Input data" refers to information entered by a user through a terminal, including detailed characteristics of a particular planet, weather conditions, desired background music, etc.

[1262] The "Emotion Engine" is a system that identifies a user's emotions in real time by analyzing their facial expressions, voice, and biometric signals.

[1263] "Emotion data" refers to the user's emotional state as recognized by the emotion engine, and is information that is sent to the server and taken into account when generating a scene.

[1264] "Generative AI" is an artificial intelligence technology that generates space scenes based on input data and emotional data from the server, and fine-tunes the atmosphere and music of the scene.

[1265] "Rendering" is the process of using a 3D graphics engine and sound engine to create a high-quality visual and audio representation of the space scene generated by generative AI in real time.

[1266] "Scene" refers to a visual and acoustic representation of space that the generative AI creates based on input data and emotional data to provide a planetarium experience.

[1267] The present invention relates to a system that combines a service that uses generative AI to instantly create the universe that a user desires with an emotion engine that recognizes the user's emotions. Specific embodiments for carrying out the present invention will be described below.

[1268] Receiving user input

[1269] The user uses the device to input desired space characteristics. The user interacts with the device's interface and inputs information such as the name of a specific planet, weather conditions, and desired background music. For example, the user might input "Mars," "sandstorm," and "synthesizer music." This information is packaged in JSON format and sent to the server in the next step.

[1270] Emotion recognition by emotion engine

[1271] The emotion engine recognizes the user's emotions in real time. The device's camera and microphone capture the user's facial expressions and voice, which the emotion engine analyzes to identify the user's current emotion. For example, the emotion engine analyzes the user's facial expressions and voice and identifies the emotion as "excited." This emotion data is sent to the server.

[1272] Analysis of input data and emotion data

[1273] The server analyzes the input data received from the device and the emotion data obtained from the emotion engine. The server breaks down the input data into modules such as "planets," "climate," and "music," and identifies each element. At the same time, the scene to be generated is adjusted based on the emotion data. For example, a scene template is created based on the elements "Mars," "sandstorm," and "synthesizer music" and the emotion data "excitement."

[1274] Space data generation

[1275] The generative AI generates specific space scenes based on analyzed data and emotional data sent from the server. When generating space scenes with specific characteristics, the generative AI fine-tunes them to match the user's emotions. For example, using "Mars," "sandstorm," "synthesizer music," and "excitement" as input, it generates dynamic synthesizer music and the visuals of an intense sandstorm.

[1276] Rendering a planetarium scene

[1277] The server renders planetarium scenes in real time based on space data generated by generative AI, using a 3D graphics engine (e.g., Unity, Unreal Engine) and a sound engine (e.g., FMOD, WWise) to achieve high-quality visual and audio presentations.

[1278] Scene and music provided

[1279] The terminal displays the rendered scene and music data sent from the server to the user, using a high-resolution display and a high-quality audio system to provide a realistic space experience, allowing users to enjoy a customized space planetarium experience according to their wishes.

[1280] Specific examples

[1281] The following provides a concrete example of implementing the system according to the present invention.

[1282] For example, if the user requests "a space scene with a sandstorm blowing on Mars and synthesizer music" and the current emotion is "excited," the following processing is performed.

[1283] 1. The user inputs "Mars," "sandstorm," and "synthesizer music" into the device.

[1284] 2. The emotion engine analyzes the user's facial expressions and voice and recognizes that the user's emotion is "excitement."

[1285] 3. The server receives this and extracts the planet "Mars", the climate "sandstorm", the music "synthesizer music", and the emotion "excitement".

[1286] 4. Based on this data, a generative AI will integrate Martian landscapes, sandstorm visual effects, and synthesized music based on the user's emotions.

[1287] 5. The server renders this scene in real time to create the final data.

[1288] 6. The device will then display the pre-rendered scene and music, allowing users to enjoy a customized space planetarium experience.

[1289] This process allows for a customized, real-time space experience based on the user's individual desires and current emotions.

[1290] Prompts and Sentence Examples

[1291] Below are some examples of prompt sentences:

[1292] Entering "Mars," "sandstorm," "synthesizer music," and "excitement" will generate related space scenes.

[1293] The above is a specific embodiment for carrying out the present invention.

[1294] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1295] Step 1:

[1296] The user inputs desired space characteristics into the device. The user enters information into the device interface, such as the name of a specific planet, weather conditions, and desired background music. The input information is packaged in JSON format. For example, if the user inputs "Mars," "sandstorm," and "synthesizer music," this information is compiled into a single JSON data and sent to the server.

[1297] Input: Information that the user types into the device (e.g., "Mars," "sandstorm," "synthesizer music")

[1298] Output: Data sent from the device to the server (JSON format)

[1299] Step 2:

[1300] The server analyzes the input data received from the device and extracts each element. Specifically, the server parses the received JSON data and separates the elements of planet, climate, and music. This process allows the input data to be classified by its components. For example, the elements "Mars," "sandstorm," and "synthesizer music" are extracted.

[1301] Input: JSON data sent from the terminal

[1302] Output: Analyzed data (planet: "Mars", climate: "sandstorm", music: "synthesizer music")

[1303] Step 3:

[1304] The emotion engine recognizes the user's emotions in real time. It uses the device's camera and microphone to capture the user's facial expressions and voice, and analyzes them to identify the user's current emotion. For example, the emotion engine analyzes the user's facial expressions and voice and recognizes them as "excited." This recognized emotion data is sent to the server.

[1305] Input: User's facial and voice data

[1306] Output: Emotion data (e.g., "excited")

[1307] Step 4:

[1308] The server analyzes the emotion data received from the emotion engine and adjusts the scene. Specifically, the server integrates the emotion data with the data extracted in step 2 to create a template to be passed to the generative AI. For example, if the emotion data is "excitement," the server dynamically adjusts the visual and music selection.

[1309] Input: Emotion data (e.g., "Excitement"), analyzed data (planet: "Mars", climate: "Sandstorm", music: "Synthesizer music")

[1310] Output: Merged template data

[1311] Step 5:

[1312] The generative AI generates space scenes based on the integrated template data. The generative AI integrates 3D graphics and music to generate space scenes based on specified characteristics and emotions. For example, using the input data "Mars," "sandstorm," "synthesizer music," and "excitement," it generates dynamic 3D scenes and synthesizer music.

[1313] Input: Integrated template data

[1314] Output: Generated space scene data

[1315] Step 6:

[1316] The server renders the generated space scene data in real time using a 3D graphics engine (e.g., Unity, Unreal Engine) and a sound engine (e.g., FMOD, WWise), providing a high-quality visual and sound experience.

[1317] Input: Generated space scene data

[1318] Output: Rendered scene graphics and audio data

[1319] Step 7:

[1320] The device provides users with pre-rendered scenes and music, which are then displayed in real time on a high-resolution display and high-quality audio system, allowing users to enjoy a customized space planetarium experience.

[1321] Input: Rendered scene graphics and audio data

[1322] Output: A visual and audio space experience provided to the user.

[1323] The above steps result in a customized, real-time space experience based on the user's individual desires and current emotions.

[1324] (Application example 2)

[1325] 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."

[1326] While conventional space experience systems allow customization based on user-defined characteristics, they are unable to reflect the user's emotions in real time. This makes it difficult for users to obtain a more realistic and emotionally relevant experience. Furthermore, it is difficult to instantly generate and display high-quality space scenes based on input data.

[1327] 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.

[1328] In this invention, the server includes: a means for a user to input desired space characteristics into a terminal; a means in which the terminal includes an emotion engine that recognizes the user's emotions; a means in which the server analyzes the input data and emotion data and extracts each element; a means in which a generation AI generates a space scene based on the specified characteristics and emotion data; a means in which the server renders the generated scene in real time and integrates it with music; and a means in which the terminal provides the scene and music to the user, thereby enabling a customized real-time space experience based on the user's emotions and wishes.

[1329] A "terminal" is a device through which a user sends input data and receives generated scenes and music visually and audibly.

[1330] The "emotion engine" is an analytical engine that analyzes the user's facial expressions, voice, or biometric signals to identify their current emotions.

[1331] The "server" is a central system that analyzes input data and emotion data sent by users and allows the generative AI to generate and render scenes based on that data.

[1332] "Generative AI" is an artificial intelligence that generates space scenes with specified characteristics based on user input data and emotional data.

[1333] "Rendering" is the process of drawing the generated space scene in real time in a visually and aurally consistent format.

[1334] "Music" is an auditory element that is selected by the generative AI based on the user's wishes and emotions and provided along with the scene.

[1335] "Real-time" refers to a time frame in which scenes are generated and presented instantly based on user input and emotional data.

[1336] "Space Scenes" are visual and auditory experiences with specific planets, climates, and other characteristics created by generative AI based on user input and emotional data.

[1337] "Data analysis" is the process by which the server examines the input data and emotion data it receives, and extracts and identifies each element.

[1338] This invention relates to a system in which a user inputs desired space characteristics, an emotion engine recognizes the user's emotions in real time, and a generation AI generates a specific space scene based on the input. Specific embodiments for implementing this invention will be described below.

[1339] System configuration

[1340] 1. Device:

[1341] A device that allows a user to input desired space characteristics, including a smartphone, tablet, or other input and display device, equipped with a camera and microphone to capture the user's facial expressions and voice.

[1342] 2. Emotion Engine:

[1343] The engine uses a camera and microphone to analyze the user's facial expressions, voice, and biometric signals to recognize the user's emotions in real time. Specifically, it can use Microsoft's facial recognition API and voice analysis technology.

[1344] 3. Server:

[1345] It receives and analyzes input data and emotional data sent by users, and breaks down the input data into modules such as "planets," "climate," and "music," allowing the generative AI to instantly generate space scenes.

[1346] 4. Generation AI:

[1347] It is an artificial intelligence that generates specific space scenes based on input data and emotion data, using adaptive generative models such as OpenAI's GPT-4 and Unity's 3D scene generation engine.

[1348] 5. Client-side software:

[1349] It provides a user interface and visually and aurally delivers music integrated with the generated space scene.

[1350] Processing flow

[1351] 1. User Input and Emotion Recognition:

[1352] The user uses the device to input the desired space characteristics, such as "Mars," "sandstorm," or "synthesizer music," while the emotion engine simultaneously captures emotion data from the user's facial expressions and voice.

[1353] 2. Data transmission and analysis:

[1354] The device sends this data to a server, which analyzes the input data, extracts planetary, climate, and musical elements, and handles emotional data together.

[1355] 3. Space scene generation:

[1356] The generative AI then uses this data to generate specific space scenes, depicting things like tranquil landscapes or violent sandstorms, and selecting music such as synthesized music based on the input data.

[1357] 4. Rendering and displaying the scene:

[1358] The server renders the generated space scene in real time, producing a high-quality scene with consistent visual and auditory quality, and sends this data to the device for display to the user.

[1359] Specific examples

[1360] If a user wants to experience a space planetarium, they can input something like "a scene of a sandstorm on Mars with synthesizer music." If the emotion engine recognizes the user's emotion as "excitement," the generative AI will select a scene of a violent sandstorm on Mars and music that evokes excitement. This allows users to enjoy a customized space experience in real time.

[1361] Prompt Sentence Examples

[1362] "Show me a space scene with a dust storm on Mars and some synthesizer music, but make sure you're responding to the user's emotional arousal."

[1363] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1364] Step 1:

[1365] Users input their desired space characteristics into the device. Specifically, there is an input field where users can input desired characteristics such as "Mars," "sandstorm," or "synthesizer music" using a device such as a smartphone or tablet. This clarifies the user's desired conditions. The input data is temporarily saved in the device in a data format such as JSON.

[1366] Step 2:

[1367] The device uses a camera and microphone to recognize the user's emotions. While the user is typing, the emotion engine captures the user's facial expressions and voice through the camera and microphone and analyzes them in real time. This analysis uses facial recognition software and voice analysis algorithms to determine the user's current emotional state.

[1368] Step 3:

[1369] The device sends the user's input data and emotion data to the server. The input data and emotion data are packaged as a JSON-formatted data packet and sent to the server via the Internet. The transmission process can use HTTP or WebSocket as the communication protocol.

[1370] Step 4:

[1371] The server analyzes the input data and emotion data and extracts each element. The server first parses the received data and stores the elements "planets," "climate," and "music" in a database. At the same time, it analyzes the emotion data and extracts scene generation parameters appropriate for that emotion.

[1372] Step 5:

[1373] The generative AI generates a space scene based on the input data and emotion data. The server passes the extracted data and emotion data to the generative AI. The generative AI uses OpenAI's GPT-4 model to generate prompts based on the input data and emotion data and come up with a design for a specific space scene.

[1374] Step 6:

[1375] The server renders the generated scene in real time and integrates it with music. Using a 3D graphics engine such as Unity, the generated space scene is rendered in real time with high quality. At this time, music data is selected to match the emotion and scene, and synchronized with the graphics.

[1376] Step 7:

[1377] The device receives the rendered scene and music from the server and displays it to the user. Based on the received data, the device displays a realistic space scene on the screen while simultaneously playing music through a high-quality audio system, allowing users to enjoy a customized space experience.

[1378] Specific operations and data flow

[1379] An example of input data for step 1 would be:

[1380] {"planet": "Mars", "climate": "sandstorm", "music": "synthesizer music"}

[1381] The emotion data generated by the emotion engine in step 2 is as follows:

[1382] {"emotion": "excitement"}

[1383] In step 3, the user input data and emotion data are sent to the server:

[1384] { "userInput": {"planet": "Mars", "climate": "sandstorm", "music": "synthesizer music"}, "emotionData": {"emotion": "excitement"}}

[1385] Step 4: The server analyzes the data:

[1386] Extracted data: {"planet": "Mars", "climate": "sandstorm", "music": "synthesizer music", "emotion": "excitement"}

[1387] Example prompt for the generated AI to generate a scene in step 5:

[1388] "Show me a space scene with a dust storm on Mars and some synthesizer music, but make sure you're responding to the user's emotional arousal."

[1389] Step 6 of the rendering process using Unity:

[1390] Input model: UnityModel(planet="Mars", climate="sandstorm", emotion="excitement")

[1391] Output Scene: RenderedScene(data)

[1392] Final display at step 7:

[1393] The terminal performs the display and playback.

[1394] Through this series of processing steps, users can enjoy a customized space experience based on their emotions in real time.

[1395] 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.

[1396] 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.

[1397] 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.

[1398] 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.

[1399] 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.

[1400] 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.

[1401] 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).

[1402] 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.

[1403] 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."

[1404] 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.

[1405] 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).

[1406] 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.

[1407] 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.

[1408] 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.

[1409] 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.

[1410] 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.

[1411] 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.

[1412] 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.

[1413] 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.

[1414] 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.

[1415] 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.

[1416] The following is further disclosed regarding the above embodiment.

[1417] (Claim 1)

[1418] a means for the user to input desired space characteristics into the terminal;

[1419] A means for the server to parse the input data and extract each element;

[1420] a means for a generation AI to generate a space scene based on specified characteristics;

[1421] A server-generated scene is rendered in real time and integrated with music.

[1422] The means by which the device provides scenes and music to the user;

[1423] A system including:

[1424] (Claim 2)

[1425] A means for the user to input their desired space planetarium experience into the device;

[1426] The server analyzes the input data and extracts the planet, climate, and music elements.

[1427] A means for the AI ​​to generate a space scene with specified planets, climates, and music;

[1428] a means for the server to render the generated space scene in real time;

[1429] a means by which the device displays the scene and music to the user;

[1430] 10. The system of claim 1, comprising:

[1431] (Claim 3)

[1432] 2. The system of claim 1, further comprising means for the generating AI to generate a unique space planetarium scene based on characteristics specified by the user, thereby providing a customized space experience that suits the user's preferences.

[1433] "Example 1"

[1434] (Claim 1)

[1435] a means for the user to input desired space characteristics into the terminal;

[1436] A means for the server to parse the input data and extract each element;

[1437] a means for a generation AI to generate a space scene based on specified characteristics;

[1438] A server-generated scene is rendered in real time and integrated with music.

[1439] The means by which the device provides scenes and music to the user;

[1440] A system including:

[1441] (Claim 2)

[1442] a means for a user to input desired characteristics of the universe using a terminal;

[1443] The server uses a natural language processing algorithm to analyze the input data and extract the planet, climate, and music elements;

[1444] A means for the AI ​​to generate a space scene with specified planets, climates, and music;

[1445] a means for the server to render the generated space scene in real time using a 3D graphics engine and an audio processing engine;

[1446] means for the device to display the scene and music to the user using a high resolution display and a high quality audio system;

[1447] 10. The system of claim 1, comprising:

[1448] (Claim 3)

[1449] 10. The system of claim 1, wherein the generating AI includes means for generating a unique space planetarium scene based on user-specified characteristics, integrating planetary visual details and climate effects, and including synthesizer music tailored to the user's preferences.

[1450] "Application Example 1"

[1451] (Claim 1)

[1452] a means for the user to input desired space characteristics into the terminal;

[1453] A means for the server to parse the input data and extract each element;

[1454] a means for a generation AI to generate a space scene based on specified characteristics;

[1455] A server-generated scene is rendered in real time and integrated with music.

[1456] The means by which the device provides scenes and music to the user;

[1457] means for generating a user's desired virtual shopping area based on specified characteristics using a generative AI model;

[1458] means by which the terminal provides a virtual shopping area to the user;

[1459] A system including:

[1460] (Claim 2)

[1461] A means for the user to input their desired space planetarium experience into the device;

[1462] The server analyzes the input data and extracts the planet, climate, and music elements.

[1463] A means for the AI ​​to generate a space scene with specified planets, climates, and music;

[1464] a means for the server to render the generated space scene in real time;

[1465] a means by which the device displays the scene and music to the user;

[1466] a means for users to explore and purchase products within a virtual shopping area;

[1467] 10. The system of claim 1, comprising:

[1468] (Claim 3)

[1469] A means for providing a customized space experience that matches the user's preferences by generating a unique space planetarium scene using a generative AI based on user-specified characteristics; and

[1470] a means for the generative AI model to generate a virtual shopping area based on user-specified characteristics to provide a highly customized virtual shopping experience;

[1471] 10. The system of claim 1, comprising:

[1472] "Example 2: Combining Emotion Engines"

[1473] (Claim 1)

[1474] a means for the user to input desired space characteristics into the terminal;

[1475] A means for the server to parse the input data and extract each element;

[1476] a means for a generation AI to generate a space scene based on specified characteristics;

[1477] A server-generated scene is rendered in real time and integrated with music.

[1478] The means by which the device provides scenes and music to the user;

[1479] A means for the emotion engine to recognize the user's emotion and transmit it to the server;

[1480] The server analyzes the emotion data and adjusts the scene and music accordingly.

[1481] A system including:

[1482] (Claim 2)

[1483] A means for the user to input their desired space planetarium experience into the device;

[1484] The server analyzes the input data and extracts the planet, climate, and music elements.

[1485] A means for the AI ​​to generate a space scene with specified planets, climates, and music;

[1486] a means for the server to render the generated space scene in real time;

[1487] a means by which the device displays the scene and music to the user;

[1488] A means for the emotion engine to recognize the user's emotion and transmit it to the server;

[1489] A means for the server to analyze the emotion data and adjust the scene;

[1490] 10. The system of claim 1, comprising:

[1491] (Claim 3)

[1492] 2. The system of claim 1, further comprising means for the generating AI to generate a unique space planetarium scene based on user-specified characteristics and recognized emotions, thereby providing a customized space experience tailored to the user's preferences.

[1493] "Application example 2 when combining emotion engines"

[1494] (Claim 1)

[1495] a means for the user to input desired space characteristics into the terminal;

[1496] a means for the terminal to include an emotion engine for recognizing an emotion of a user;

[1497] A means for the server to analyze the input data and emotion data and extract each element;

[1498] a means for generating a space scene based on specified feature and emotion data by a generation AI;

[1499] A server-generated scene is rendered in real time and integrated with music.

[1500] The means by which the device provides scenes and music to the user;

[1501] A system including:

[1502] (Claim 2)

[1503] A means for the user to input their desired space planetarium experience into the device;

[1504] A means for the server to analyze the input data and emotion data and extract elements of planets, climates, and music;

[1505] A means for the AI ​​to generate a space scene with specified planets, climates, and music;

[1506] a means for the server to render the generated space scene in real time;

[1507] a means by which the device displays the scene and music to the user;

[1508] 10. The system of claim 1, comprising:

[1509] (Claim 3)

[1510] The system of claim 1 further includes means for the generating AI to generate a unique space planetarium scene based on characteristics and emotional data specified by the user, thereby providing a customized space experience that suits the user's preferences. [Explanation of symbols]

[1511] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for the user to input desired space characteristics into the terminal; A means for the server to parse the input data and extract each element; a means for a generation AI to generate a space scene based on specified characteristics; A server-generated scene is rendered in real time and integrated with music. The means by which the device provides scenes and music to the user; A system including:

2. A means for the user to input their desired space planetarium experience into the device; The server analyzes the input data and extracts the planet, climate, and music elements. A means for the AI ​​to generate a space scene with specified planets, climates, and music; a means for the server to render the generated space scene in real time; a means by which the device displays the scene and music to the user; 10. The system of claim 1, comprising:

3. 2. The system of claim 1, further comprising means for the generating AI to generate a unique space planetarium scene based on characteristics specified by the user, thereby providing a customized space experience that suits the user's preferences.

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