system

Abstract

A system is provided.SOLUTION: A system including means for inputting a place and an age desired by a user, means for transmitting the input information to a server, means for receiving the information and collecting related data by the server, means for generating a Metaverse space based on the data collected by the server, means for transmitting data of the generated Metaverse space to a terminal, means for decompressing the data received by the terminal and converting the data into a format usable by a VR device, and means for providing a virtual space to the user by the VR device.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] With current VR technology, it is difficult to provide a realistic virtual space based on a specific location or time period, which reduces the quality of the user experience. Furthermore, it is difficult to perform detailed simulations based on historical data or future prediction data, which means that users cannot fully meet their expectations. This makes it difficult for users to experience the sensation of traveling back in time to a specific era or place. [Means for solving the problem]

[0005] To solve this problem, the present invention provides a system including: a means for a user to input a desired location and era; a means for transmitting the input information to a server; a means for the server to receive the information and collect related data; a means for the server to generate a metaverse space based on the collected data; a means for transmitting data of the generated metaverse space to a terminal; a means for the terminal to decompress the received data and convert it into a format usable by a VR device; and a means for the VR device to provide a virtual space to the user. This allows the user to have a detailed and realistic VR experience based on a specific location and era.

[0006] A "user" is a person who operates the system, inputs information, and experiences virtual reality.

[0007] "Input means" refers to a device or interface that allows a user to input a desired location and era.

[0008] "Transmission means" refers to the system or protocol used to transmit information entered by the user to the server.

[0009] "Server" means a computer system that receives information sent by users and collects and analyzes related data.

[0010] "Collection means" refers to the software and hardware that the server uses to collect the necessary data from the Internet and databases.

[0011] "Generation means" refers to the algorithms and technologies used to generate the metaverse space based on the data collected by the server.

[0012] "Data transmission means" refers to the technology or protocol by which the server transmits data from the generated metaverse space to the terminal.

[0013] The "decompression means" is software that decompresses compressed data received by the terminal from the server and converts it into a usable format.

[0014] A "VR device" is a virtual reality device such as a headset or goggles that allows users to experience a virtual space. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

[0023] [First embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0036] The present invention is a system that generates a customized metaverse space based on a user's desired era and location, and allows the user to experience the virtual space through a VR device. Specific embodiments of the present invention will be described below.

[0037] User Input

[0038] Users input their desired location and time period through a dedicated application or web platform, using text boxes and selection menus. For example, a user might input "I want to go to New York 100 years ago." This information is processed by the device and converted into the appropriate format.

[0039] Information transmission

[0040] The device converts the user's input into a standard data format, such as JSON, and sends it to the server using the appropriate API endpoint. The API request includes information about the location and era.

[0041] Data collection and analysis

[0042] The server analyzes the received information and collects data corresponding to the location and time period. For example, based on the information "New York" and "100 years ago," historical data, photos, maps, etc. related to New York in the 1910s are collected. This collection is done using specific databases and APIs.

[0043] The server then analyzes the collected data and extracts the information needed to generate the virtual space. Using AI algorithms, it identifies the shapes of buildings and streetscapes, and generates realistic 3D models.

[0044] Metaverse space generation

[0045] The server uses the collected data and analysis results to generate the Metaverse space. During this process, 3D modeling software and rendering engines are used to build detailed virtual environments based on the collected data. For example, when recreating the streets of New York in the 1910s, the buildings and street layouts of the time are taken into account.

[0046] Data Transmission and Conversion

[0047] The generated metaverse space data is compressed by the server and sent to the device. The device decompresses the received data and converts it into a format that can be used by the VR device. This data conversion uses software components appropriate for the specific format (e.g., Oculus VR format).

[0048] User Experience

[0049] Finally, users can wear VR devices and experience the Metaverse space of their choice, in a time and place of their choice. For example, they can move freely through a realistic virtual space that recreates New York in the 1910s, exploring the streets and lifestyles of the time.

[0050] Specific examples

[0051] New York 100 years ago

[0052] When a user types "I want to go to New York 100 years ago," the device sends this information to the server. The server collects data about New York in the 1910s and uses AI technology to create a 3D model of the cityscape. Once the data is generated, the server sends it to the device, which decompresses and converts it before displaying it on the VR device. Through the VR device, the user can freely explore the streets of New York at that time.

[0053] Paris 30 years later

[0054] When a user types "I want to go to Paris 30 years from now," the device sends the information to the server. The server collects predictive data about Paris of the future and uses AI to simulate what the city will look like 30 years from now. The generated data is sent to the device and converted into a format suitable for VR devices. Users can experience Paris of the future and explore the evolving city and new technologies.

[0055] In this manner, the present invention provides a user with a detailed and realistic virtual reality experience.

[0056] The processing flow will be explained below.

[0057] Step 1:

[0058] A user accesses a platform (website or application) and enters the desired location and era into an input form. For example, they might enter "I want to go to New York 100 years ago."

[0059] Step 2:

[0060] The device receives the user's input and converts it into an appropriate format (e.g., JSON format). At this time, the input text is divided into "location" and "era" and processed as structured data.

[0061] Step 3:

[0062] The device sends the converted data to the server by using an HTTP request to send the data to the server's API endpoint.

[0063] Step 4:

[0064] The server receives the request sent from the device, analyzes the data in the request body, and extracts the specified "location" and "era."

[0065] Step 5:

[0066] Based on the extracted information, the server gathers the necessary data from relevant databases and the Internet, for example by calling external APIs to get photos, maps, architectural designs, and other data related to New York in the 1910s.

[0067] Step 6:

[0068] The server analyzes the collected data and generates the Metaverse space. Using AI algorithms, it creates 3D models from the collected photos and map data, identifying the shapes of cityscapes and buildings.

[0069] Step 7:

[0070] The server then compiles the generated 3D model and the metaverse space data into a single file and compresses it. This compressed file is then ready to be sent to the device.

[0071] Step 8:

[0072] The server sends the compressed file as an HTTP response to send the generated data file to the terminal. The terminal receives this response and decompresses the data.

[0073] Step 9:

[0074] The device unzips the compressed file it receives and converts it into a format that can be used by the VR device, for example, by using specific libraries or software to convert it into the Oculus VR format.

[0075] Step 10:

[0076] The terminal transfers data to the VR device and prepares to launch the VR software. The user puts on the VR device and launches the application.

[0077] Step 11:

[0078] Users can wear a VR device and explore the Metaverse space of their choice, set in a time and place. For example, they can experience the streets of New York in the 1910s and wander freely through the buildings and streets.

[0079] Example 1

[0080] 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."

[0081] This invention relates to a system that efficiently generates a high-quality virtual space based on a specific era or location desired by the user, and allows the user to experience that virtual space on a VR device. Conventional systems have had problems in that generating the virtual space requires a great deal of time and effort, and it is difficult for users to operate it intuitively. In particular, real-time data collection and analysis, and high-precision 3D model generation have been challenges.

[0082] 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.

[0083] In this invention, the server includes a means for receiving information and collecting related data from databases and external services, a means for generating a 3D model using a generative AI model based on the collected data to generate a metaverse space, and a means for compressing and transmitting the generated metaverse space data to a terminal. This allows a highly accurate virtual space to be quickly generated in real time based on user input and efficiently experienced on a VR device.

[0084] A "user" is someone who wishes to experience a virtual space of a particular time period or location using a dedicated application or web platform.

[0085] A "terminal" is a computing device that receives information entered by a user, converts it into a standard data format, and transmits it to a server.

[0086] The "server" is a computer system that receives user input information, collects and analyzes related data, and generates the metaverse space.

[0087] A "standard data format" is a widely recognized data format, such as JSON, that facilitates communication and data exchange between different systems.

[0088] A "database" is a collection of information that organizes and stores collected data so that it can be efficiently accessed and searched by a server.

[0089] An "external service" is an API or web service provided by a third party that the server uses to collect the required data.

[0090] A "generative AI model" is a technology that uses AI algorithms to generate 3D models and virtual spaces from collected data.

[0091] A "3D model" is a three-dimensional digital object used to visually recreate a particular time period or place.

[0092] A "metaverse space" is a virtual reality environment generated based on the user's desired time period and location.

[0093] A "virtual reality device" is a device that allows a user to visually and tactilely experience the generated metaverse space, and examples include VR headsets.

[0094] The present invention is a system that generates a customized metaverse space based on the user's desired era and location, and allows the user to experience that virtual space through a VR device. Specific embodiments for carrying out the invention are described below.

[0095] Users input their desired location and era using a dedicated application or web platform. Input methods include a text box or voice recognition. For example, a user might input, "I want to go to New York 100 years ago." This information is received by the device and converted into a standard data format (e.g., JSON format).

[0096] The device sends the converted data to the server via an HTTP request, and the server analyzes the received information and uses a database or external service (e.g., a general-purpose API) to collect data related to the specified location and era.

[0097] The server analyzes the collected data using a generative AI model to generate the necessary 3D models. Deep learning frameworks such as TensorFlow and PyTorch are used as the AI ​​algorithm. This generates building shapes, streetscapes, and other elements to create the metaverse space.

[0098] Next, the server compresses the generated metaverse space data and sends it to the device. The device decompresses the received data and converts it into a format that can be used by virtual reality devices (e.g., Oculus VR format). The software component for this is a 3D modeling and rendering engine such as Blender or Unity.

[0099] Users can then put on a virtual reality device and experience the Metaverse space in a time and place of their choice, for example, moving freely through the streets of New York in the 1910s and visually observing how it came to be.

[0100] As a concrete example of how this works, the following prompt sentence can be given:

[0101] "Can you collect the data necessary to recreate the streets of New York 100 years ago and generate a realistic 3D model?"

[0102] "Please create a virtual space based on a simulation of Paris 30 years into the future."

[0103] In this way, the present invention provides users with an intuitive and realistic virtual reality experience, enabling the efficient generation of high-quality metaverse spaces based on specified eras and locations.

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

[0105] Step 1: User Input

[0106] The user launches a dedicated application or web platform. The user inputs the desired location and era using a text box or voice recognition function. An example of this input data is "I want to go to New York 100 years ago." The device receives this information, converts it into a standard data format (e.g., JSON format), and sends it to the next step.

[0107] Input: Desired location and time period (e.g. New York 100 years ago)

[0108] Output: Standard data format (e.g., {"location": "New York", "year": 1920})

[0109] Specific behavior:

[0110] The user launches the application and enters "I want to go to New York 100 years ago" into the input form.

[0111] The terminal converts the input data into JSON format.

[0112] Step 2: Send information

[0113] The device sends the information converted into a standard data format to the server in an HTTP request, specifying a specific API endpoint (e.g., https: / / api.example.com / create_metaverse). The request includes the location and era information entered by the user.

[0114] Input: Standard data format (e.g., {"location": "New York", "year": 1920})

[0115] Output: HTTP request (e.g. https: / / api.example.com / create_metaverse)

[0116] Specific behavior:

[0117] The terminal sends the converted data as an HTTP request.

[0118] The server prepares to receive and parse the request.

[0119] Step 3: Data collection and analysis

[0120] The server analyzes the received request and collects data related to the specified location and time period from databases and external services, such as historical data, photos, and maps about New York in the 1910s. This data is then analyzed using AI algorithms (e.g., TensorFlow, PyTorch) to extract the information needed to generate a 3D model for the virtual space.

[0121] Input: HTTP request (e.g., {"location": "New York", "year": 1920})

[0122] Output: Data with necessary information extracted (e.g., building shapes, city layout)

[0123] Specific behavior:

[0124] The server collects data on the specified location and age from databases or external services.

[0125] The server uses AI algorithms to analyze the data and extract the information needed for the virtual space.

[0126] Step 4: Metaverse space generation

[0127] Based on the analysis results, the server generates a metaverse space using 3D modeling software (e.g., Blender) and a rendering engine (e.g., Unity). For example, it specifically recreates the streets of New York in the 1910s. In this process, a detailed virtual environment is created, including buildings, roads, and surroundings.

[0128] Input: Data with necessary information extracted

[0129] Output: Generated 3D model (Metaverse space)

[0130] Specific behavior:

[0131] The server generates 3D models using Blender or Unity.

[0132] The generated metaverse space is completed.

[0133] Step 5: Data transmission and conversion

[0134] The server compresses the generated metaverse data and sends it to the device, which then decompresses it and converts it into a format that can be used by virtual reality devices (e.g., Oculus VR). This conversion is performed using software suitable for the specific format (e.g., Unity Converter).

[0135] Input: Generated 3D model data

[0136] Output: Unpacked virtual reality device format data

[0137] Specific behavior:

[0138] The server compresses the data and sends it to the terminal.

[0139] The device decompresses the received data and converts it into Oculus VR format.

[0140] Step 6: User Experience

[0141] Users can wear virtual reality devices and experience the Metaverse space of their choice, for example, moving freely through the streets of New York in the 1910s and visually experiencing the life and scenery of that era.

[0142] Input: Unpacked virtual reality device format data

[0143] Output: The virtual reality space experienced by the user

[0144] Specific behavior:

[0145] The user puts on the Oculus VR device.

[0146] A virtual reality device displays the generated metaverse space, and the user explores the space.

[0147] (Application example 1)

[0148] 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."

[0149] Current virtual reality experiences have limited the ability for users to realistically experience customized virtual spaces based on their desired specific geographic location or time period. Additionally, generating realistic virtual reality spaces using historical and future-predictive data remains a continuing challenge.

[0150] 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.

[0151] In this invention, the server includes means for inputting the user's desired geographical location and time information, means for transmitting the input information to the data server, means for the data server to receive the information and collect related data, means for generating a virtual reality space based on the collected information by the data server, means for transmitting data of the generated virtual reality space to the terminal, means for the terminal to decompress the received information and convert it into a format usable by the virtual reality device, means for the virtual reality device to provide the user with a virtual world, and means for generating a 3D model using an AI algorithm based on the collected data and simulating the virtual space using historical and predictive data, thereby enabling the user to experience a realistic and customized virtual reality space based on the era and location desired.

[0152] A "user" is someone who wishes to experience a virtual reality space.

[0153] A "geographic location" refers to a location that a user wants to visit in a virtual reality space.

[0154] "Temporal information" refers to a specific era or period of time that the user wants to experience in the virtual reality space.

[0155] "Input means" refers to an interface through which a user inputs geographic location and time information into the system.

[0156] The "data server" is a computer system that receives information sent by users, collects and analyzes related data, and generates a virtual reality space.

[0157] A "collection means" is a method or technique by which a data server collects relevant historical and / or forecast data.

[0158] The "means of generation" refers to the algorithms and software used to create a virtual reality space based on collected data.

[0159] A "terminal" is a device that transmits information entered by the user to a data server and decompresses and converts the received virtual reality space data.

[0160] A "VR device" is a device such as a head-mounted display or VR goggles that allows users to experience a virtual reality space.

[0161] "AI algorithms" are artificial intelligence techniques used to analyze collected data and generate 3D models.

[0162] A "3D model" is a three-dimensional digital model used to create a virtual reality space.

[0163] "Means of simulation" refers to a method for realistically recreating a virtual reality space from collected data using AI algorithms.

[0164] This invention is a system that generates a customized virtual reality (VR) space based on the user's desired geographical location and time information, and allows the user to experience it through a VR device. This system receives user input, and a data server collects and analyzes related data to generate the virtual reality space, and the terminal receives and converts the data and supplies it to the VR device, providing the user with an immersive experience.

[0165] User Input

[0166] Users input their desired geographic location and time information via a dedicated application or web platform, using text boxes and selection menus. For example, a user might input "I want to go to Paris in 1923." This information is processed by the device and converted into a standard data format (e.g., JSON format).

[0167] Information transmission

[0168] The device sends the converted information to the data server using a specific API endpoint, and the API request includes geographical location and time information, allowing the data server to efficiently analyze the received information and collect relevant data.

[0169] Data collection and analysis

[0170] The data server analyzes the received information and collects data based on geographic location and time information. This collection is done using specific databases and APIs. For example, based on the information "Paris" and "1923," historical data, photos, maps, etc. from that time are collected. Next, the data server analyzes the collected data and extracts the information needed to generate the virtual reality space. Using AI algorithms, it identifies the shapes of buildings and streetscapes, etc., and generates a 3D model. In this process, the generative AI model analyzes the prompt text and efficiently extracts and integrates the necessary data.

[0171] Metaverse space generation

[0172] The data server generates a virtual reality space based on the collected data and analysis results. In this process, 3D modeling software (e.g., Blender) and rendering engines (e.g., Unity) are used to build a detailed virtual environment. For example, to realistically recreate the streets of Paris in 1923, the buildings and street layouts of the time are taken into account.

[0173] Data Transmission and Conversion

[0174] The generated virtual reality space data is compressed by the data server and sent to the terminal. The terminal decompresses the received compressed data and converts it into a format that can be used by the VR device (e.g., Oculus VR format). This data conversion uses a specific software component.

[0175] User Experience

[0176] Ultimately, users can wear a VR device and experience a virtual reality space based on their desired geographic location and time. For example, they can move freely through a realistic virtual space that recreates Paris in 1923, exploring the cityscape and the daily lives of people at the time.

[0177] Examples:

[0178] If a user types "I want to go to New York 100 years ago," the data server will collect data about "New York" and "100 years ago" and use AI technology to create a 3D model of the cityscape. The generated data will be sent to the device, which will decompress and convert it and display it on the VR device. Through the VR device, the user can freely explore the city of New York at that time.

[0179] Example prompts to input to a generative AI model:

[0180] "Collect detailed data and photos of New York from 100 years ago. This will be the input data for an AI model that generates a virtual space based on the required information."

[0181] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0182] Step 1:

[0183] A user enters desired geographic location and time information into a dedicated application or web platform using text boxes and selection menus. For example, a user might enter "I want to go to New York 100 years ago." This information becomes the initial input data for the system.

[0184] Step 2:

[0185] The device receives user input information and converts it into a standard data format (e.g., JSON format). The converted data is sent to the data server using an API endpoint. The input data consists of "geographical location" and "temporal information."

[0186] Step 3:

[0187] The data server analyzes the received information and collects relevant data. Specifically, it searches and retrieves historical data, photos, maps, etc. using specific databases and APIs based on geographical location and time information. The input of this stage is "user requested data" and the output is "collected historical data and forecast data."

[0188] Step 4:

[0189] The data server uses a generative AI model to generate a 3D model based on the collected data. During this generation process, a prompt statement is input into the AI, and data calculations are performed to output an appropriate 3D model. The inputs are the collected data and the prompt statement, and the output is the generated 3D model data.

[0190] For example, a prompt might say, "Collect detailed data and photos of New York 100 years ago. This will be the input data for an AI model that will generate a virtual space based on the required information."

[0191] Step 5:

[0192] The data server creates rendering data to construct a virtual reality space based on the generated 3D model data. A realistic virtual space is created using 3D modeling software and rendering engines such as Blender and Unity. The input at this stage is the "generated 3D model data," and the output is "rendering data for the virtual reality space."

[0193] Step 6:

[0194] The data server compresses the rendering data of the generated virtual reality space and sends it to the terminal. Compression technology is used to reduce the size of the data to be sent and achieve high-speed data transfer. The input at this stage is "rendering data" and the output is "compressed rendering data."

[0195] Step 7:

[0196] The device receives the compressed data sent from the data server, decompresses it, and converts it into a format that can be used by the VR device. This data conversion uses software components that are appropriate for the specific format (e.g., Oculus VR format). The input to this stage is "compressed rendering data," and the output is "data in a format suitable for the VR device."

[0197] Step 8:

[0198] Finally, the terminal supplies the converted data to the VR device, providing the user with a virtual reality space based on the user's desired geographical location and time information. The user wears the VR device and experiences the generated virtual space. The input is "data in a format suitable for the VR device," and the output is "the user's immersive experience."

[0199] This series of processing steps allows users to easily experience a realistic and customized virtual reality space based on their desired location and time.

[0200] 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.

[0201] The present invention is a system that generates a customized metaverse space according to the user's desired era and location, and further combines it with an emotion engine to provide a dynamic virtual reality experience based on the user's emotional state. Specific embodiments for implementing the present invention will be described below.

[0202] User Input

[0203] Users use a dedicated application or web platform to input their desired location and time period. For example, a user might input "I want to go to New York 100 years ago." This information is processed by the device and converted into an appropriate format (e.g., JSON).

[0204] Information transmission

[0205] The device converts the user's input into JSON format and sends an API request to the server, which includes information about the location and era.

[0206] Data collection and analysis

[0207] The server receives the request and collects data corresponding to the location and time period. For example, given the information "New York" and "100 years ago," the server collects historical data, photos, maps, etc. related to New York in the 1910s.

[0208] The server then analyzes the collected data and extracts the information needed to generate the virtual space, using AI algorithms to identify things like building shapes and streetscapes, and generate realistic 3D models.

[0209] Metaverse space generation

[0210] The server uses the collected data and analysis results to generate the Metaverse space using 3D modeling software and rendering engines. For example, when recreating the streets of New York in the 1910s, the layout of buildings and streets at the time is taken into account.

[0211] Data Transmission and Conversion

[0212] The generated metaverse data is compressed by the server and sent to the device, which then decompresses it and converts it into a format that can be used by the VR device. This conversion uses software appropriate for the specific format (e.g., Oculus VR format).

[0213] User Experience

[0214] Users put on a VR device and explore the generated metaverse space. For example, they can freely walk around a virtual space that realistically recreates New York in the 1910s and experience the life and scenery of that time.

[0215] Introducing the Emotion Engine

[0216] The present invention further incorporates an emotion engine that recognizes the user's emotional state by analyzing the user's facial expressions, voice, body movements, etc., to determine the user's emotional state in real time.

[0217] Dynamic adjustment based on emotions

[0218] Based on the data obtained from the emotion engine, the server dynamically adjusts the elements in the virtual space. For example, if the user is excited, the lights in the virtual space can be brightened or the music can be changed to a more upbeat tempo. Conversely, if the user is relaxed, the lights can be dimmed or soft music can be played.

[0219] Specific examples

[0220] New York 100 years ago and the Emotion Engine

[0221] The user types, "I want to go to New York 100 years ago," and the device sends the information to the server. The server collects the data and uses AI technology to create a 3D model. The generated metaverse space is sent to the device and displayed on the VR device. Furthermore, an emotion engine analyzes the user's emotions in real time; for example, if the user shows a surprised expression, special events or animations in the virtual space are triggered.

[0222] Paris 30 years later and the Emotion Engine

[0223] The user types, "I want to go to Paris 30 years from now," and the device sends the information to the server. The server collects predictive data about future Paris and generates a virtual space using 3D modeling software. The generated data is sent to the device and converted into a format suitable for VR devices. The emotion engine analyzes the user's emotions, and if the user is in a relaxed state, it can guide them to a calm area of ​​future Paris (such as a park).

[0224] In this manner, the present invention provides a user with a personalized, realistic, and emotionally relevant virtual reality experience.

[0225] The processing flow will be explained below.

[0226] Step 1:

[0227] A user accesses a platform (website or application) and enters the desired location and era into an input form. For example, they might enter "I want to go to New York 100 years ago."

[0228] Step 2:

[0229] The device receives the user's input and converts it into an appropriate format (e.g., JSON format). At this time, the input text is divided into "location" and "era" and processed as structured data.

[0230] Step 3:

[0231] The device sends the converted data to the server by using an HTTP request to send the data to the server's API endpoint.

[0232] Step 4:

[0233] The server receives the request sent from the device, analyzes the data in the request body, and extracts the specified "location" and "era."

[0234] Step 5:

[0235] Based on the extracted information, the server gathers necessary data from relevant databases and the Internet, for example by calling external APIs to retrieve data such as photographs, maps, and architectural designs related to New York in the 1910s.

[0236] Step 6:

[0237] The server analyzes the collected data and generates the Metaverse space. Using AI algorithms, it creates 3D models from the collected photos and map data, identifying the shapes of cityscapes and buildings.

[0238] Step 7:

[0239] Based on the data collected and analyzed, the server uses 3D modeling tools to generate a virtual space, such as a 1910s New York streetscape, taking into account the placement of buildings and road layouts.

[0240] Step 8:

[0241] The server then compiles the generated 3D model and the metaverse space data into a single file and compresses it. This compressed file is then ready to be sent to the device.

[0242] Step 9:

[0243] The device receives the compressed file from the server and decompresses it, converting the decompressed data into a format that can be used by the VR device.

[0244] Step 10:

[0245] The user puts on the VR device and launches the application. The terminal transfers data to the VR device and displays the metaverse space of the user's desired time and location.

[0246] Step 11:

[0247] The VR device tracks the user's movements and provides an interactive virtual space, allowing the user to freely explore the streets of 1910s New York.

[0248] Step 12:

[0249] The emotion engine analyzes the user's facial expressions, voice, body movements, etc. in real time to recognize the user's emotional state.

[0250] Step 13:

[0251] The server dynamically adjusts elements in the virtual space based on data obtained from the emotion engine. For example, if a user shows a surprised expression, a special event can be triggered in the virtual space depending on that reaction.

[0252] Step 14:

[0253] The emotion engine continuously accumulates user emotional data and individually optimizes the virtual space based on past experience data, resulting in a more personalized experience and deeper interaction.

[0254] Step 15:

[0255] When the user ends the VR session, the VR device sends the session data to the terminal, which then sends this data back to the server to store for the next experience.

[0256] Through the above steps, the present invention realizes a system that provides a user with a detailed, emotionally realistic virtual reality experience.

[0257] Example 2

[0258] 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."

[0259] Conventional virtual reality systems have struggled to generate realistic virtual spaces based on the specific time period and location desired by the user. Furthermore, they lacked the ability to dynamically adjust the virtual space to take into account the user's emotional state, making it impossible to provide a personalized, realistic experience. Furthermore, they lacked mechanisms for efficiently converting and communicating user input, as well as data collection, analysis, generation, and distribution.

[0260] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0261] In this invention, the server includes means for inputting a location and era desired by the user, means for transmitting the input information to a communication device, means for the communication device to receive the information and collect related data, means for generating a virtual space based on the data collected by the communication device, means for transmitting data of the generated virtual space to a terminal, means for the terminal to decompress the received data and convert it into a format usable by a virtual reality device, means for the virtual reality device to provide the virtual space to the user, and means for recognizing the user's emotional state and dynamically adjusting elements in the virtual space, thereby making it possible to generate a realistic virtual space based on a specific era and location desired by the user and dynamically adjust it according to the user's emotional state.

[0262] A "user" is an entity that uses the system to experience the virtual space.

[0263] A "place" is a particular geographic area or region that a user wants to visit in a virtual space.

[0264] "Era" refers to a specific era or period that a user wants to experience in a virtual space.

[0265] "Input means" refers to a device or interface that allows a user to provide desired location and era information to the system.

[0266] "Communication device" refers to a server or network device that receives and processes information entered by a user.

[0267] The "means of collection" is the method or process by which a communications device obtains data related to a particular location and time period.

[0268] A "virtual space" is a three-dimensional virtual reality environment generated using digital technology.

[0269] "Generation means" refers to the process or technology for creating a virtual space based on data collected by a communication device.

[0270] "Transmitting means" refers to a method for transferring the generated virtual space data to the user's terminal.

[0271] A "terminal" is a device or equipment that a user uses to display a virtual space.

[0272] "Decompression" is the process of unpacking received compressed data and converting it into a usable format.

[0273] A "virtual reality device" is a head-mounted display or similar device that a user uses to experience a generated virtual space.

[0274] "Emotional state" refers to a user's current mental and emotional state.

[0275] The "means of recognition" refers to algorithms and sensor technology that analyze and understand emotional states in real time.

[0276] "Dynamic adjustment" is the process of changing elements in a virtual space depending on the user's emotional state.

[0277] The present invention is a system that generates a virtual space customized for a user's desired era and location, and combines it with an emotion engine to provide a dynamic virtual reality experience based on the user's emotional state. Specific embodiments for implementing the present invention will be described below.

[0278] First, a user uses a dedicated application or web platform to input the desired location and time period. For example, a user might input, "I want to go to New York 100 years ago." This information is processed by the device and converted into JSON format, which has a way of converting it into the appropriate data format. The device formats the input data into the correct format and checks for invalid data.

[0279] The converted data is sent from the device to the communication device. The communication device sends an API request to the server using an HTTP POST request. This request includes information about the location and era specified by the user. The communication device receives this information and collects related data from the internet and internal databases. For example, it may collect historical data, photos, maps, etc. related to "New York 100 years ago." This collection process efficiently gathers data from multiple data sources to ensure no gaps are missing.

[0280] The collected data is analyzed by the communication device. AI algorithms are used to analyze it, for example, to identify the shape of buildings and streetscapes and generate realistic 3D models. Specifically, artificial intelligence algorithms are used to check the integrity of the collected data and, if necessary, to complement or clean it. This process removes missing information and noise, resulting in a final dataset.

[0281] The communication device then uses the analysis results to generate a virtual space using 3D modeling software (e.g., Blender or Maya) and a rendering engine (e.g., Unreal Engine or Unity). For example, to faithfully recreate the New York cityscape of the 1910s, the device faithfully mimics the layout of buildings and streets from that time. Special events and interactions can also be set up during this generation process.

[0282] The generated virtual world data is compressed by the communication device and sent to the user's device. The compression method is optimized for efficient data transfer. The device receives this data, decompresses it, and converts it into a format that can be displayed on the virtual reality device (e.g., Oculus Quest). This is done using specific software on the device.

[0283] Users can wear a virtual reality device and explore the generated virtual space. For example, they can explore New York in the 1910s and experience the life and scenery of that time. Users can freely move their viewpoint and interact with interactive elements.

[0284] Furthermore, the present invention incorporates an emotion engine that recognizes the user's emotional state in real time. The user's facial expressions, voice, and body movements are captured and analyzed by the device's sensors. When a specific emotional state (e.g., excitement, relaxation, surprise, etc.) is detected, the server adjusts elements in the virtual space in real time based on the data obtained from the emotion engine. For example, if the user is excited, the server can brighten the lights in the virtual space and change the music to a more upbeat tempo. Conversely, if the user is relaxed, the server can dim the lights and play relaxing music. This provides a comfortable and personalized experience that corresponds to the user's emotional state.

[0285] Specific examples

[0286] New York 100 years ago and the Emotion Engine

[0287] The user types, "I want to go to New York 100 years ago," and the terminal sends that information to a communication device. The communication device collects data about New York in the 1910s and uses artificial intelligence technology to generate a 3D model. The generated virtual space is sent to the terminal and displayed on the user's virtual reality device. If the user makes a surprised expression, a special event is triggered in real time by the emotion engine, and a special animation is displayed in the virtual space.

[0288] Paris 30 years later and the Emotion Engine

[0289] The user types, "I want to go to Paris 30 years from now," and the device transmits the information to the communication device. The communication device collects predictive data about future Paris and generates a virtual space using 3D modeling software. The generated data is sent to the device and converted into a format suitable for the virtual reality device. If the user's emotional state is relaxed, the emotion engine detects this and guides the user to a quiet area of ​​future Paris, such as a park.

[0290] As described above, the present invention is a system that provides a user with a personalized, emotionally responsive, and realistic virtual reality experience.

[0291] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0292] Step 1: User Input

[0293] Users use a dedicated application or web platform to input their desired location and time period. For example, they might input "I want to go to New York 100 years ago." The input information (location and time period) is processed on the user's device and converted into JSON format.

[0294] Input: Location and time information (text format)

[0295] Output: Formatted JSON data

[0296] Step 2: Send information

[0297] The device converts the data into JSON format and sends it to the server. Specifically, it forms an HTTP POST request, includes the location and year information specified by the user, and sends this request to the server via the network.

[0298] Input: Formatted JSON data

[0299] Output: HTTP POST request to the server

[0300] Step 3: Data collection

[0301] Based on the received request, the server collects data related to the location and time period, such as historical data, photos, maps, etc. about "New York 100 years ago" from the Internet, historical databases, or other data sources.

[0302] Input: HTTP POST request

[0303] Output: Relevant data collected (from databases, APIs, etc.)

[0304] Step 4: Data analysis

[0305] The server analyzes the collected data using AI algorithms. For example, it identifies the shape of buildings and streetscapes and generates realistic 3D models. This analysis includes checking data consistency, cleansing, and adding necessary data.

[0306] Input: Relevant data collected

[0307] Output: Analysis results (information necessary to generate a 3D model)

[0308] Step 5: Metaverse space generation

[0309] The server generates a virtual space using 3D modeling software and a rendering engine based on the analysis results. For example, a 3D model is created using Blender or Maya, and then rendered in real time using Unreal Engine or Unity.

[0310] Input: Analysis results

[0311] Output: Generated virtual space data

[0312] Step 6: Data transmission and conversion

[0313] The generated virtual space data is compressed by the server and sent to the user's device, where it is decompressed and converted into a format suitable for the virtual reality device (e.g., Oculus Quest). This conversion process uses specific software and libraries.

[0314] Input: Generated virtual space data

[0315] Output: Data converted into a format usable by virtual reality devices

[0316] Step 7: User Experience

[0317] Users wear virtual reality devices and explore the generated virtual space. For example, users can freely walk around New York in the 1910s and experience the life and scenery of that time. Users can freely move their viewpoint and interact with interactive elements.

[0318] Input: Transformed data

[0319] Output: A real virtual experience

[0320] Step 8: Implementing the Emotion Engine

[0321] The system incorporates an emotion engine that analyzes the user's emotional state. The user's facial expressions, voice, and body movements are captured by the device's sensors and analyzed in real time. Specific emotional states (e.g., excitement, relaxation, surprise, etc.) are detected.

[0322] Input: User's facial expressions, voice, and body movements

[0323] Output: Parsed emotion data

[0324] Step 9: Dynamic adjustment based on emotions

[0325] The server dynamically adjusts elements in the virtual space based on data obtained from the emotion engine. For example, if the user is excited, the server will brighten the lights and change the music to an upbeat setting. Conversely, if the user is relaxed, the server will dim the lights and play relaxing music.

[0326] Input: Parsed emotion data

[0327] Output: A tuned virtual environment

[0328] Through these steps, the system can provide users with a personalized, emotionally-responsive, and realistic virtual reality experience.

[0329] (Application example 2)

[0330] 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."

[0331] Conventional virtual reality systems have difficulty in realistically recreating the time period and location desired by the user, and dynamically adjusting the atmosphere and experience of the location. Furthermore, they lack the ability to adjust the environment in real time according to the user's emotional state, making it difficult to sufficiently improve the quality of the user experience. Therefore, there is a need for a customized, realistic virtual reality experience that meets diverse user needs.

[0332] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for inputting a user's desired location and era; means for transmitting the input information to the server; means for the server to receive the information and collect related data; means for generating a metaverse space based on the data collected by the server; means for transmitting data of the generated metaverse space to the terminal; means for the terminal to decompress the received data and convert it into a format usable by the VR device; means for the VR device to provide a virtual space to the user; emotion analysis means for analyzing the user's emotional state in real time; and means for dynamically adjusting elements of the virtual space based on the analysis results. This provides a realistic virtual reality experience customized to the user's desired era and location, and also enables dynamic environmental adjustment based on the user's emotional state.

[0333] "Means for users to input desired locations and eras" is a function that provides an interface for users to input specific locations and eras they wish to visit.

[0334] The "means for transmitting input information to the server" is a communication function for transmitting the location and age information input by the user to the server.

[0335] The "means for the server to receive information and collect related data" is a function for the server to collect related data from the Internet or a database based on the user's input information received.

[0336] The "means for generating a metaverse space based on data collected by the server" refers to software or algorithms on the server that use the collected data to generate a virtual reality space.

[0337] The "means for transmitting data of the generated metaverse space to the terminal" is a communication means for transmitting data of the metaverse space generated by the server to the user's terminal.

[0338] "Means for decompressing data received by the terminal and converting it into a format usable by the VR device" refers to a conversion function for decompressing data received by the terminal and adapting it to a format usable by the VR device.

[0339] "The means by which a VR device provides a virtual space to a user" refers to the function of displaying and allowing a user to experience a virtual reality space through a VR device.

[0340] "Emotion analysis means for analyzing the user's emotional state in real time" is a technology for analyzing the user's facial expressions, voice, body movements, etc., to determine the user's emotional state in real time.

[0341] "Means for dynamically adjusting elements of the virtual space based on the analysis results" refers to a function that dynamically changes lighting, music, events, etc. in the virtual space based on the user's emotional state obtained by the emotion analysis means.

[0342] This invention describes in detail specific embodiments for implementing a system that generates a virtual space based on the user's desired era and location, and uses an emotion engine to provide a dynamic virtual reality experience that responds to the user's emotional state.

[0343] System Program

[0344] The present invention includes hardware such as a server, a user terminal, a VR device, and an emotion analysis engine, as well as software for data collection, analysis, transmission, and conversion. Specific hardware and software processes are described below.

[0345] Processing Description

[0346] 1. User Input and Information Submission

[0347] The user enters the desired time period and location into the device interface, for example, "New York in the 1980s," using a smartphone or PC application. This information is converted into JSON format and sent to the server.

[0348] 2. Data Collection and Analysis

[0349] Once the server receives the input, it makes requests to gather relevant data from the internet and various databases, which are then analyzed by AI algorithms to generate a realistic, detailed 3D model of New York in the 1980s.

[0350] Specific software used includes Python-based AI algorithms and 3D modeling tools (e.g., Blender, Unreal Engine).

[0351] 3. Metaverse space generation and transmission

[0352] The server uses 3D modeling tools to generate a metaverse based on the analysis results, and the generated data is compressed and sent to the user's device.

[0353] 4. Data conversion and use in VR devices

[0354] The device decompresses the received data and converts it into a format that can be used by the VR device (e.g., Oculus Rift, HTC Vive). This process uses specific format conversion software (e.g., a plugin for Unity or Unreal Engine).

[0355] 5. Sentiment Analysis and Dynamic Adjustment

[0356] While a user is experiencing a virtual space using a VR device, an emotion analysis engine analyzes the user's facial expressions, voice, and body movements in real time, and based on the analysis results, the lighting, music, and events in the VR environment are dynamically adjusted.

[0357] Specific hardware includes a camera and microphone to track the user's facial expressions and movements, and Python libraries and machine learning models (e.g., TensorFlow, OpenCV) are used to process this data.

[0358] Examples and prompts

[0359] Specific examples

[0360] Example prompt: "I want to experience a retro game shop in 1980s New York in a virtual space."

[0361] Based on this example, a generative AI model can collect data and generate a virtual space for a specified age and location. Furthermore, the atmosphere and events within the store can dynamically change in response to changes in the user's emotions, providing a more realistic and personalized experience.

[0362] In this way, the present invention provides users with a customized virtual reality experience based on their desired time period and location, and further enables a richer virtual experience by dynamically adjusting the environment based on the user's emotional state.

[0363] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0364] Step 1:

[0365] The user inputs the desired location and era. The user inputs the "location" and "era" they want to visit through the device interface. For example, they input "New York in the 1980s."

[0366] Input: The date and location the user entered into the device

[0367] Output: User input data captured by the device

[0368] Step 2:

[0369] The device sends the entered information to the server. The device converts the information entered by the user into JSON format and sends an API request to the server.

[0370] Input: User-entered data acquired by the device.

[0371] Output: The request sent to the server in JSON format.

[0372] Step 3:

[0373] The server receives the information, collects and analyzes related data, and then uses AI algorithms to gather relevant data from the internet and various databases based on the received information. For example, it might collect data, photos, and 3D models related to New York in the 1980s.

[0374] Input: The request received by the server in JSON format.

[0375] Output: Analyzed 3D model and related data

[0376] Step 4:

[0377] The server generates a metaverse space based on the collected data. The server then uses 3D modeling tools to generate a realistic virtual space based on the collected and analyzed data. For example, it creates 3D models using Unreal Engine or Blender.

[0378] Input: Analyzed 3D model and related data

[0379] Output: Generated 3D Metaverse spatial data

[0380] Step 5:

[0381] The generated metaverse space data is sent to the terminal. The server compresses the generated metaverse space data and sends it to the user's terminal.

[0382] Input: Generated 3D Metaverse spatial data

[0383] Output: Compressed metaverse spatial data

[0384] Step 6:

[0385] The terminal decompresses the received data and converts it into a format that can be used by the VR device. The terminal decompresses the received compressed data and converts it into a format suitable for the VR device (e.g., Oculus Rift format) so that it can be used by the VR device.

[0386] Input: Compressed Metaverse spatial data

[0387] Output: Data in a format that can be used by VR devices

[0388] Step 7:

[0389] The VR device provides the user with a virtual space. The user wears the VR device and can experience the generated metaverse space. They can walk around and operate it freely.

[0390] Input: Data in a format that can be used by the VR device

[0391] Output: User's virtual experience

[0392] Step 8:

[0393] The user's emotional state is analyzed in real time and elements of the virtual space are dynamically adjusted. The emotion analysis engine analyzes the user's facial expressions, voice, and body movements in real time, and the lighting, music, and events in the virtual space are dynamically adjusted based on the results.

[0394] Input: User's emotional state data

[0395] Output: Dynamically adjusted elements of the virtual space

[0396] 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.

[0397] 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.

[0398] 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.

[0399] [Second embodiment]

[0400] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0401] 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.

[0402] 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).

[0403] 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.

[0404] 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.

[0405] 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).

[0406] 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.

[0407] 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.

[0408] 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.

[0409] 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.

[0410] 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.

[0411] 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."

[0412] The present invention is a system that generates a customized metaverse space based on a user's desired era and location, and allows the user to experience the virtual space through a VR device. Specific embodiments of the present invention will be described below.

[0413] User Input

[0414] Users input their desired location and time period through a dedicated application or web platform, using text boxes and selection menus. For example, a user might input "I want to go to New York 100 years ago." This information is processed by the device and converted into the appropriate format.

[0415] Information transmission

[0416] The device converts the user's input into a standard data format, such as JSON, and sends it to the server using the appropriate API endpoint. The API request includes information about the location and era.

[0417] Data collection and analysis

[0418] The server analyzes the received information and collects data corresponding to the location and time period. For example, based on the information "New York" and "100 years ago," historical data, photos, maps, etc. related to New York in the 1910s are collected. This collection is done using specific databases and APIs.

[0419] The server then analyzes the collected data and extracts the information needed to generate the virtual space. Using AI algorithms, it identifies the shapes of buildings and streetscapes, and generates realistic 3D models.

[0420] Metaverse space generation

[0421] The server uses the collected data and analysis results to generate the Metaverse space. During this process, 3D modeling software and rendering engines are used to build detailed virtual environments based on the collected data. For example, when recreating the streets of New York in the 1910s, the buildings and street layouts of the time are taken into account.

[0422] Data Transmission and Conversion

[0423] The generated metaverse space data is compressed by the server and sent to the device. The device decompresses the received data and converts it into a format that can be used by the VR device. This data conversion uses software components appropriate for the specific format (e.g., Oculus VR format).

[0424] User Experience

[0425] Finally, users can wear VR devices and experience the Metaverse space of their choice, in a time and place of their choice. For example, they can move freely through a realistic virtual space that recreates New York in the 1910s, exploring the streets and lifestyles of the time.

[0426] Specific examples

[0427] New York 100 years ago

[0428] When a user types "I want to go to New York 100 years ago," the device sends this information to the server. The server collects data about New York in the 1910s and uses AI technology to create a 3D model of the cityscape. Once the data is generated, the server sends it to the device, which decompresses and converts it before displaying it on the VR device. Through the VR device, the user can freely explore the streets of New York at that time.

[0429] Paris 30 years later

[0430] When a user types "I want to go to Paris 30 years from now," the device sends the information to the server. The server collects predictive data about Paris of the future and uses AI to simulate what the city will look like 30 years from now. The generated data is sent to the device and converted into a format suitable for VR devices. Users can experience Paris of the future and explore the evolving city and new technologies.

[0431] In this manner, the present invention provides a user with a detailed and realistic virtual reality experience.

[0432] The processing flow will be explained below.

[0433] Step 1:

[0434] A user accesses a platform (website or application) and enters the desired location and era into an input form. For example, they might enter "I want to go to New York 100 years ago."

[0435] Step 2:

[0436] The device receives the user's input and converts it into an appropriate format (e.g., JSON format). At this time, the input text is divided into "location" and "era" and processed as structured data.

[0437] Step 3:

[0438] The device sends the converted data to the server by using an HTTP request to send the data to the server's API endpoint.

[0439] Step 4:

[0440] The server receives the request sent from the device, analyzes the data in the request body, and extracts the specified "location" and "era."

[0441] Step 5:

[0442] Based on the extracted information, the server gathers the necessary data from relevant databases and the Internet, for example by calling external APIs to get photos, maps, architectural designs, and other data related to New York in the 1910s.

[0443] Step 6:

[0444] The server analyzes the collected data and generates the Metaverse space. Using AI algorithms, it creates 3D models from the collected photos and map data, identifying the shapes of cityscapes and buildings.

[0445] Step 7:

[0446] The server then compiles the generated 3D model and the metaverse space data into a single file and compresses it. This compressed file is then ready to be sent to the device.

[0447] Step 8:

[0448] The server sends the compressed file as an HTTP response to send the generated data file to the terminal. The terminal receives this response and decompresses the data.

[0449] Step 9:

[0450] The device unzips the compressed file it receives and converts it into a format that can be used by the VR device, for example, by using specific libraries or software to convert it into the Oculus VR format.

[0451] Step 10:

[0452] The terminal transfers data to the VR device and prepares to launch the VR software. The user puts on the VR device and launches the application.

[0453] Step 11:

[0454] Users can wear a VR device and explore the Metaverse space of their choice, set in a time and place. For example, they can experience the streets of New York in the 1910s and wander freely through the buildings and streets.

[0455] Example 1

[0456] 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."

[0457] This invention relates to a system that efficiently generates a high-quality virtual space based on a specific era or location desired by the user, and allows the user to experience that virtual space on a VR device. Conventional systems have had problems in that generating the virtual space requires a great deal of time and effort, and it is difficult for users to operate it intuitively. In particular, real-time data collection and analysis, and high-precision 3D model generation have been challenges.

[0458] 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.

[0459] In this invention, the server includes a means for receiving information and collecting related data from databases and external services, a means for generating a 3D model using a generative AI model based on the collected data to generate a metaverse space, and a means for compressing and transmitting the generated metaverse space data to a terminal. This allows a highly accurate virtual space to be quickly generated in real time based on user input and efficiently experienced on a VR device.

[0460] A "user" is someone who wishes to experience a virtual space of a particular time period or location using a dedicated application or web platform.

[0461] A "terminal" is a computing device that receives information entered by a user, converts it into a standard data format, and transmits it to a server.

[0462] The "server" is a computer system that receives user input information, collects and analyzes related data, and generates the metaverse space.

[0463] A "standard data format" is a widely recognized data format, such as JSON, that facilitates communication and data exchange between different systems.

[0464] A "database" is a collection of information that organizes and stores collected data so that it can be efficiently accessed and searched by a server.

[0465] An "external service" is an API or web service provided by a third party that the server uses to collect the required data.

[0466] A "generative AI model" is a technology that uses AI algorithms to generate 3D models and virtual spaces from collected data.

[0467] A "3D model" is a three-dimensional digital object used to visually recreate a particular time period or place.

[0468] A "metaverse space" is a virtual reality environment generated based on the user's desired time period and location.

[0469] A "virtual reality device" is a device that allows a user to visually and tactilely experience the generated metaverse space, and examples include VR headsets.

[0470] The present invention is a system that generates a customized metaverse space based on the user's desired era and location, and allows the user to experience that virtual space through a VR device. Specific embodiments for carrying out the invention are described below.

[0471] Users input their desired location and era using a dedicated application or web platform. Input methods include a text box or voice recognition. For example, a user might input, "I want to go to New York 100 years ago." This information is received by the device and converted into a standard data format (e.g., JSON format).

[0472] The device sends the converted data to the server via an HTTP request, and the server analyzes the received information and uses a database or external service (e.g., a general-purpose API) to collect data related to the specified location and era.

[0473] The server analyzes the collected data using a generative AI model to generate the necessary 3D models. Deep learning frameworks such as TensorFlow and PyTorch are used as the AI ​​algorithm. This generates building shapes, streetscapes, and other elements to create the metaverse space.

[0474] Next, the server compresses the generated metaverse space data and sends it to the device. The device decompresses the received data and converts it into a format that can be used by virtual reality devices (e.g., Oculus VR format). The software component for this is a 3D modeling and rendering engine such as Blender or Unity.

[0475] Users can then put on a virtual reality device and experience the Metaverse space in a time and place of their choice, for example, moving freely through the streets of New York in the 1910s and visually observing how it came to be.

[0476] As a concrete example of how this works, the following prompt sentence can be given:

[0477] "Can you collect the data necessary to recreate the streets of New York 100 years ago and generate a realistic 3D model?"

[0478] "Please create a virtual space based on a simulation of Paris 30 years into the future."

[0479] In this way, the present invention provides users with an intuitive and realistic virtual reality experience, enabling the efficient generation of high-quality metaverse spaces based on specified eras and locations.

[0480] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0481] Step 1: User Input

[0482] The user launches a dedicated application or web platform. The user inputs the desired location and era using a text box or voice recognition function. An example of this input data is "I want to go to New York 100 years ago." The device receives this information, converts it into a standard data format (e.g., JSON format), and sends it to the next step.

[0483] Input: Desired location and time period (e.g. New York 100 years ago)

[0484] Output: Standard data format (e.g., {"location": "New York", "year": 1920})

[0485] Specific behavior:

[0486] The user launches the application and enters "I want to go to New York 100 years ago" into the input form.

[0487] The terminal converts the input data into JSON format.

[0488] Step 2: Send information

[0489] The device sends the information converted into a standard data format to the server in an HTTP request, specifying a specific API endpoint (e.g., https: / / api.example.com / create_metaverse). The request includes the location and era information entered by the user.

[0490] Input: Standard data format (e.g., {"location": "New York", "year": 1920})

[0491] Output: HTTP request (e.g. https: / / api.example.com / create_metaverse)

[0492] Specific behavior:

[0493] The terminal sends the converted data as an HTTP request.

[0494] The server prepares to receive and parse the request.

[0495] Step 3: Data collection and analysis

[0496] The server analyzes the received request and collects data related to the specified location and time period from databases and external services, such as historical data, photos, and maps about New York in the 1910s. This data is then analyzed using AI algorithms (e.g., TensorFlow, PyTorch) to extract the information needed to generate a 3D model for the virtual space.

[0497] Input: HTTP request (e.g., {"location": "New York", "year": 1920})

[0498] Output: Data with necessary information extracted (e.g., building shapes, city layout)

[0499] Specific behavior:

[0500] The server collects data on the specified location and age from databases or external services.

[0501] The server uses AI algorithms to analyze the data and extract the information needed for the virtual space.

[0502] Step 4: Metaverse space generation

[0503] Based on the analysis results, the server generates a metaverse space using 3D modeling software (e.g., Blender) and a rendering engine (e.g., Unity). For example, it specifically recreates the streets of New York in the 1910s. In this process, a detailed virtual environment is created, including buildings, roads, and surroundings.

[0504] Input: Data with necessary information extracted

[0505] Output: Generated 3D model (Metaverse space)

[0506] Specific behavior:

[0507] The server generates 3D models using Blender or Unity.

[0508] The generated metaverse space is completed.

[0509] Step 5: Data transmission and conversion

[0510] The server compresses the generated metaverse data and sends it to the device, which then decompresses it and converts it into a format that can be used by virtual reality devices (e.g., Oculus VR). This conversion is performed using software suitable for the specific format (e.g., Unity Converter).

[0511] Input: Generated 3D model data

[0512] Output: Unpacked virtual reality device format data

[0513] Specific behavior:

[0514] The server compresses the data and sends it to the terminal.

[0515] The device decompresses the received data and converts it into Oculus VR format.

[0516] Step 6: User Experience

[0517] Users can wear virtual reality devices and experience the Metaverse space of their choice, for example, moving freely through the streets of New York in the 1910s and visually experiencing the life and scenery of that era.

[0518] Input: Unpacked virtual reality device format data

[0519] Output: The virtual reality space experienced by the user

[0520] Specific behavior:

[0521] The user puts on the Oculus VR device.

[0522] A virtual reality device displays the generated metaverse space, and the user explores the space.

[0523] (Application example 1)

[0524] 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."

[0525] Current virtual reality experiences have limited the ability for users to realistically experience customized virtual spaces based on their desired specific geographic location or time period. Additionally, generating realistic virtual reality spaces using historical and future-predictive data remains a continuing challenge.

[0526] 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.

[0527] In this invention, the server includes means for inputting the user's desired geographical location and time information, means for transmitting the input information to the data server, means for the data server to receive the information and collect related data, means for generating a virtual reality space based on the collected information by the data server, means for transmitting data of the generated virtual reality space to the terminal, means for the terminal to decompress the received information and convert it into a format usable by the virtual reality device, means for the virtual reality device to provide the user with a virtual world, and means for generating a 3D model using an AI algorithm based on the collected data and simulating the virtual space using historical and predictive data, thereby enabling the user to experience a realistic and customized virtual reality space based on the era and location desired.

[0528] A "user" is someone who wishes to experience a virtual reality space.

[0529] A "geographic location" refers to a location that a user wants to visit in a virtual reality space.

[0530] "Temporal information" refers to a specific era or period of time that the user wants to experience in the virtual reality space.

[0531] "Input means" refers to an interface through which a user inputs geographic location and time information into the system.

[0532] The "data server" is a computer system that receives information sent by users, collects and analyzes related data, and generates a virtual reality space.

[0533] A "collection means" is a method or technique by which a data server collects relevant historical and / or forecast data.

[0534] The "means of generation" refers to the algorithms and software used to create a virtual reality space based on collected data.

[0535] A "terminal" is a device that transmits information entered by the user to a data server and decompresses and converts the received virtual reality space data.

[0536] A "VR device" is a device such as a head-mounted display or VR goggles that allows users to experience a virtual reality space.

[0537] "AI algorithms" are artificial intelligence techniques used to analyze collected data and generate 3D models.

[0538] A "3D model" is a three-dimensional digital model used to create a virtual reality space.

[0539] "Means of simulation" refers to a method for realistically recreating a virtual reality space from collected data using AI algorithms.

[0540] This invention is a system that generates a customized virtual reality (VR) space based on the user's desired geographical location and time information, and allows the user to experience it through a VR device. This system receives user input, and a data server collects and analyzes related data to generate the virtual reality space, and the terminal receives and converts the data and supplies it to the VR device, providing the user with an immersive experience.

[0541] User Input

[0542] Users input their desired geographic location and time information via a dedicated application or web platform, using text boxes and selection menus. For example, a user might input "I want to go to Paris in 1923." This information is processed by the device and converted into a standard data format (e.g., JSON format).

[0543] Information transmission

[0544] The device sends the converted information to the data server using a specific API endpoint, and the API request includes geographical location and time information, allowing the data server to efficiently analyze the received information and collect relevant data.

[0545] Data collection and analysis

[0546] The data server analyzes the received information and collects data based on geographic location and time information. This collection is done using specific databases and APIs. For example, based on the information "Paris" and "1923," historical data, photos, maps, etc. from that time are collected. Next, the data server analyzes the collected data and extracts the information needed to generate the virtual reality space. Using AI algorithms, it identifies the shapes of buildings and streetscapes, etc., and generates a 3D model. In this process, the generative AI model analyzes the prompt text and efficiently extracts and integrates the necessary data.

[0547] Metaverse space generation

[0548] The data server generates a virtual reality space based on the collected data and analysis results. In this process, 3D modeling software (e.g., Blender) and rendering engines (e.g., Unity) are used to build a detailed virtual environment. For example, to realistically recreate the streets of Paris in 1923, the buildings and street layouts of the time are taken into account.

[0549] Data Transmission and Conversion

[0550] The generated virtual reality space data is compressed by the data server and sent to the terminal. The terminal decompresses the received compressed data and converts it into a format that can be used by the VR device (e.g., Oculus VR format). This data conversion uses a specific software component.

[0551] User Experience

[0552] Ultimately, users can wear a VR device and experience a virtual reality space based on their desired geographic location and time. For example, they can move freely through a realistic virtual space that recreates Paris in 1923, exploring the cityscape and the daily lives of people at the time.

[0553] Examples:

[0554] If a user types "I want to go to New York 100 years ago," the data server will collect data about "New York" and "100 years ago" and use AI technology to create a 3D model of the cityscape. The generated data will be sent to the device, which will decompress and convert it and display it on the VR device. Through the VR device, the user can freely explore the city of New York at that time.

[0555] Example prompts to input to a generative AI model:

[0556] "Collect detailed data and photos of New York from 100 years ago. This will be the input data for an AI model that generates a virtual space based on the required information."

[0557] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0558] Step 1:

[0559] A user enters desired geographic location and time information into a dedicated application or web platform using text boxes and selection menus. For example, a user might enter "I want to go to New York 100 years ago." This information becomes the initial input data for the system.

[0560] Step 2:

[0561] The device receives user input information and converts it into a standard data format (e.g., JSON format). The converted data is sent to the data server using an API endpoint. The input data consists of "geographical location" and "temporal information."

[0562] Step 3:

[0563] The data server analyzes the received information and collects relevant data. Specifically, it searches and retrieves historical data, photos, maps, etc. using specific databases and APIs based on geographical location and time information. The input of this stage is "user requested data" and the output is "collected historical data and forecast data."

[0564] Step 4:

[0565] The data server uses a generative AI model to generate a 3D model based on the collected data. During this generation process, a prompt statement is input into the AI, and data calculations are performed to output an appropriate 3D model. The inputs are the collected data and the prompt statement, and the output is the generated 3D model data.

[0566] For example, a prompt might say, "Collect detailed data and photos of New York 100 years ago. This will be the input data for an AI model that will generate a virtual space based on the required information."

[0567] Step 5:

[0568] The data server creates rendering data to construct a virtual reality space based on the generated 3D model data. A realistic virtual space is created using 3D modeling software and rendering engines such as Blender and Unity. The input at this stage is the "generated 3D model data," and the output is "rendering data for the virtual reality space."

[0569] Step 6:

[0570] The data server compresses the rendering data of the generated virtual reality space and sends it to the terminal. Compression technology is used to reduce the size of the data to be sent and achieve high-speed data transfer. The input at this stage is "rendering data" and the output is "compressed rendering data."

[0571] Step 7:

[0572] The device receives the compressed data sent from the data server, decompresses it, and converts it into a format that can be used by the VR device. This data conversion uses software components that are appropriate for the specific format (e.g., Oculus VR format). The input to this stage is "compressed rendering data," and the output is "data in a format suitable for the VR device."

[0573] Step 8:

[0574] Finally, the terminal supplies the converted data to the VR device, providing the user with a virtual reality space based on the user's desired geographical location and time information. The user wears the VR device and experiences the generated virtual space. The input is "data in a format suitable for the VR device," and the output is "the user's immersive experience."

[0575] This series of processing steps allows users to easily experience a realistic and customized virtual reality space based on their desired location and time.

[0576] 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.

[0577] The present invention is a system that generates a customized metaverse space according to the user's desired era and location, and further combines it with an emotion engine to provide a dynamic virtual reality experience based on the user's emotional state. Specific embodiments for implementing the present invention will be described below.

[0578] User Input

[0579] Users use a dedicated application or web platform to input their desired location and time period. For example, a user might input "I want to go to New York 100 years ago." This information is processed by the device and converted into an appropriate format (e.g., JSON).

[0580] Information transmission

[0581] The device converts the user's input into JSON format and sends an API request to the server, which includes information about the location and era.

[0582] Data collection and analysis

[0583] The server receives the request and collects data corresponding to the location and time period. For example, given the information "New York" and "100 years ago," the server collects historical data, photos, maps, etc. related to New York in the 1910s.

[0584] The server then analyzes the collected data and extracts the information needed to generate the virtual space, using AI algorithms to identify things like building shapes and streetscapes, and generate realistic 3D models.

[0585] Metaverse space generation

[0586] The server uses the collected data and analysis results to generate the Metaverse space using 3D modeling software and rendering engines. For example, when recreating the streets of New York in the 1910s, the layout of buildings and streets at the time is taken into account.

[0587] Data Transmission and Conversion

[0588] The generated metaverse data is compressed by the server and sent to the device, which then decompresses it and converts it into a format that can be used by the VR device. This conversion uses software appropriate for the specific format (e.g., Oculus VR format).

[0589] User Experience

[0590] Users put on a VR device and explore the generated metaverse space. For example, they can freely walk around a virtual space that realistically recreates New York in the 1910s and experience the life and scenery of that time.

[0591] Introducing the Emotion Engine

[0592] The present invention further incorporates an emotion engine that recognizes the user's emotional state by analyzing the user's facial expressions, voice, body movements, etc., to determine the user's emotional state in real time.

[0593] Dynamic adjustment based on emotions

[0594] Based on the data obtained from the emotion engine, the server dynamically adjusts the elements in the virtual space. For example, if the user is excited, the lights in the virtual space can be brightened or the music can be changed to a more upbeat tempo. Conversely, if the user is relaxed, the lights can be dimmed or soft music can be played.

[0595] Specific examples

[0596] New York 100 years ago and the Emotion Engine

[0597] The user types, "I want to go to New York 100 years ago," and the device sends the information to the server. The server collects the data and uses AI technology to create a 3D model. The generated metaverse space is sent to the device and displayed on the VR device. Furthermore, an emotion engine analyzes the user's emotions in real time; for example, if the user shows a surprised expression, special events or animations in the virtual space are triggered.

[0598] Paris 30 years later and the Emotion Engine

[0599] The user types, "I want to go to Paris 30 years from now," and the device sends the information to the server. The server collects predictive data about future Paris and generates a virtual space using 3D modeling software. The generated data is sent to the device and converted into a format suitable for VR devices. The emotion engine analyzes the user's emotions, and if the user is in a relaxed state, it can guide them to a calm area of ​​future Paris (such as a park).

[0600] In this manner, the present invention provides a user with a personalized, realistic, and emotionally relevant virtual reality experience.

[0601] The processing flow will be explained below.

[0602] Step 1:

[0603] A user accesses a platform (website or application) and enters the desired location and era into an input form. For example, they might enter "I want to go to New York 100 years ago."

[0604] Step 2:

[0605] The device receives the user's input and converts it into an appropriate format (e.g., JSON format). At this time, the input text is divided into "location" and "era" and processed as structured data.

[0606] Step 3:

[0607] The device sends the converted data to the server by using an HTTP request to send the data to the server's API endpoint.

[0608] Step 4:

[0609] The server receives the request sent from the device, analyzes the data in the request body, and extracts the specified "location" and "era."

[0610] Step 5:

[0611] Based on the extracted information, the server gathers necessary data from relevant databases and the Internet, for example by calling external APIs to retrieve data such as photographs, maps, and architectural designs related to New York in the 1910s.

[0612] Step 6:

[0613] The server analyzes the collected data and generates the Metaverse space. Using AI algorithms, it creates 3D models from the collected photos and map data, identifying the shapes of cityscapes and buildings.

[0614] Step 7:

[0615] Based on the data collected and analyzed, the server uses 3D modeling tools to generate a virtual space, such as a 1910s New York streetscape, taking into account the placement of buildings and road layouts.

[0616] Step 8:

[0617] The server then compiles the generated 3D model and the metaverse space data into a single file and compresses it. This compressed file is then ready to be sent to the device.

[0618] Step 9:

[0619] The device receives the compressed file from the server and decompresses it, converting the decompressed data into a format that can be used by the VR device.

[0620] Step 10:

[0621] The user puts on the VR device and launches the application. The terminal transfers data to the VR device and displays the metaverse space of the user's desired time and location.

[0622] Step 11:

[0623] The VR device tracks the user's movements and provides an interactive virtual space, allowing the user to freely explore the streets of 1910s New York.

[0624] Step 12:

[0625] The emotion engine analyzes the user's facial expressions, voice, body movements, etc. in real time to recognize the user's emotional state.

[0626] Step 13:

[0627] The server dynamically adjusts elements in the virtual space based on data obtained from the emotion engine. For example, if a user shows a surprised expression, a special event can be triggered in the virtual space depending on that reaction.

[0628] Step 14:

[0629] The emotion engine continuously accumulates user emotional data and individually optimizes the virtual space based on past experience data, resulting in a more personalized experience and deeper interaction.

[0630] Step 15:

[0631] When the user ends the VR session, the VR device sends the session data to the terminal, which then sends this data back to the server to store for the next experience.

[0632] Through the above steps, the present invention realizes a system that provides a user with a detailed, emotionally realistic virtual reality experience.

[0633] Example 2

[0634] 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."

[0635] Conventional virtual reality systems have struggled to generate realistic virtual spaces based on the specific time period and location desired by the user. Furthermore, they lacked the ability to dynamically adjust the virtual space to take into account the user's emotional state, making it impossible to provide a personalized, realistic experience. Furthermore, they lacked mechanisms for efficiently converting and communicating user input, as well as data collection, analysis, generation, and distribution.

[0636] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0637] In this invention, the server includes means for inputting a location and era desired by the user, means for transmitting the input information to a communication device, means for the communication device to receive the information and collect related data, means for generating a virtual space based on the data collected by the communication device, means for transmitting data of the generated virtual space to a terminal, means for the terminal to decompress the received data and convert it into a format usable by a virtual reality device, means for the virtual reality device to provide the virtual space to the user, and means for recognizing the user's emotional state and dynamically adjusting elements in the virtual space, thereby making it possible to generate a realistic virtual space based on a specific era and location desired by the user and dynamically adjust it according to the user's emotional state.

[0638] A "user" is an entity that uses the system to experience the virtual space.

[0639] A "place" is a particular geographic area or region that a user wants to visit in a virtual space.

[0640] "Era" refers to a specific era or period that a user wants to experience in a virtual space.

[0641] "Input means" refers to a device or interface that allows a user to provide desired location and era information to the system.

[0642] "Communication device" refers to a server or network device that receives and processes information entered by a user.

[0643] The "means of collection" is the method or process by which a communications device obtains data related to a particular location and time period.

[0644] A "virtual space" is a three-dimensional virtual reality environment generated using digital technology.

[0645] "Generation means" refers to the process or technology for creating a virtual space based on data collected by a communication device.

[0646] "Transmitting means" refers to a method for transferring the generated virtual space data to the user's terminal.

[0647] A "terminal" is a device or equipment that a user uses to display a virtual space.

[0648] "Decompression" is the process of unpacking received compressed data and converting it into a usable format.

[0649] A "virtual reality device" is a head-mounted display or similar device that a user uses to experience a generated virtual space.

[0650] "Emotional state" refers to a user's current mental and emotional state.

[0651] The "means of recognition" refers to algorithms and sensor technology that analyze and understand emotional states in real time.

[0652] "Dynamic adjustment" is the process of changing elements in a virtual space depending on the user's emotional state.

[0653] The present invention is a system that generates a virtual space customized for a user's desired era and location, and combines it with an emotion engine to provide a dynamic virtual reality experience based on the user's emotional state. Specific embodiments for implementing the present invention will be described below.

[0654] First, a user uses a dedicated application or web platform to input the desired location and time period. For example, a user might input, "I want to go to New York 100 years ago." This information is processed by the device and converted into JSON format, which has a way of converting it into the appropriate data format. The device formats the input data into the correct format and checks for invalid data.

[0655] The converted data is sent from the device to the communication device. The communication device sends an API request to the server using an HTTP POST request. This request includes information about the location and era specified by the user. The communication device receives this information and collects related data from the internet and internal databases. For example, it may collect historical data, photos, maps, etc. related to "New York 100 years ago." This collection process efficiently gathers data from multiple data sources to ensure no gaps are missing.

[0656] The collected data is analyzed by the communication device. AI algorithms are used to analyze it, for example, to identify the shape of buildings and streetscapes and generate realistic 3D models. Specifically, artificial intelligence algorithms are used to check the integrity of the collected data and, if necessary, to complement or clean it. This process removes missing information and noise, resulting in a final dataset.

[0657] The communication device then uses the analysis results to generate a virtual space using 3D modeling software (e.g., Blender or Maya) and a rendering engine (e.g., Unreal Engine or Unity). For example, to faithfully recreate the New York cityscape of the 1910s, the device faithfully mimics the layout of buildings and streets from that time. Special events and interactions can also be set up during this generation process.

[0658] The generated virtual world data is compressed by the communication device and sent to the user's device. The compression method is optimized for efficient data transfer. The device receives this data, decompresses it, and converts it into a format that can be displayed on the virtual reality device (e.g., Oculus Quest). This is done using specific software on the device.

[0659] Users can wear a virtual reality device and explore the generated virtual space. For example, they can explore New York in the 1910s and experience the life and scenery of that time. Users can freely move their viewpoint and interact with interactive elements.

[0660] Furthermore, the present invention incorporates an emotion engine that recognizes the user's emotional state in real time. The user's facial expressions, voice, and body movements are captured and analyzed by the device's sensors. When a specific emotional state (e.g., excitement, relaxation, surprise, etc.) is detected, the server adjusts elements in the virtual space in real time based on the data obtained from the emotion engine. For example, if the user is excited, the server can brighten the lights in the virtual space and change the music to a more upbeat tempo. Conversely, if the user is relaxed, the server can dim the lights and play relaxing music. This provides a comfortable and personalized experience that corresponds to the user's emotional state.

[0661] Specific examples

[0662] New York 100 years ago and the Emotion Engine

[0663] The user types, "I want to go to New York 100 years ago," and the terminal sends that information to a communication device. The communication device collects data about New York in the 1910s and uses artificial intelligence technology to generate a 3D model. The generated virtual space is sent to the terminal and displayed on the user's virtual reality device. If the user makes a surprised expression, a special event is triggered in real time by the emotion engine, and a special animation is displayed in the virtual space.

[0664] Paris 30 years later and the Emotion Engine

[0665] The user types, "I want to go to Paris 30 years from now," and the device transmits the information to the communication device. The communication device collects predictive data about future Paris and generates a virtual space using 3D modeling software. The generated data is sent to the device and converted into a format suitable for the virtual reality device. If the user's emotional state is relaxed, the emotion engine detects this and guides the user to a quiet area of ​​future Paris, such as a park.

[0666] As described above, the present invention is a system that provides a user with a personalized, emotionally responsive, and realistic virtual reality experience.

[0667] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0668] Step 1: User Input

[0669] Users use a dedicated application or web platform to input their desired location and time period. For example, they might input "I want to go to New York 100 years ago." The input information (location and time period) is processed on the user's device and converted into JSON format.

[0670] Input: Location and time information (text format)

[0671] Output: Formatted JSON data

[0672] Step 2: Send information

[0673] The device converts the data into JSON format and sends it to the server. Specifically, it forms an HTTP POST request, includes the location and year information specified by the user, and sends this request to the server via the network.

[0674] Input: Formatted JSON data

[0675] Output: HTTP POST request to the server

[0676] Step 3: Data collection

[0677] Based on the received request, the server collects data related to the location and time period, such as historical data, photos, maps, etc. about "New York 100 years ago" from the Internet, historical databases, or other data sources.

[0678] Input: HTTP POST request

[0679] Output: Relevant data collected (from databases, APIs, etc.)

[0680] Step 4: Data analysis

[0681] The server analyzes the collected data using AI algorithms. For example, it identifies the shape of buildings and streetscapes and generates realistic 3D models. This analysis includes checking data consistency, cleansing, and adding necessary data.

[0682] Input: Relevant data collected

[0683] Output: Analysis results (information necessary to generate a 3D model)

[0684] Step 5: Metaverse space generation

[0685] The server generates a virtual space using 3D modeling software and a rendering engine based on the analysis results. For example, a 3D model is created using Blender or Maya, and then rendered in real time using Unreal Engine or Unity.

[0686] Input: Analysis results

[0687] Output: Generated virtual space data

[0688] Step 6: Data transmission and conversion

[0689] The generated virtual space data is compressed by the server and sent to the user's device, where it is decompressed and converted into a format suitable for the virtual reality device (e.g., Oculus Quest). This conversion process uses specific software and libraries.

[0690] Input: Generated virtual space data

[0691] Output: Data converted into a format usable by virtual reality devices

[0692] Step 7: User Experience

[0693] Users wear virtual reality devices and explore the generated virtual space. For example, users can freely walk around New York in the 1910s and experience the life and scenery of that time. Users can freely move their viewpoint and interact with interactive elements.

[0694] Input: Transformed data

[0695] Output: A real virtual experience

[0696] Step 8: Implementing the Emotion Engine

[0697] The system incorporates an emotion engine that analyzes the user's emotional state. The user's facial expressions, voice, and body movements are captured by the device's sensors and analyzed in real time. Specific emotional states (e.g., excitement, relaxation, surprise, etc.) are detected.

[0698] Input: User's facial expressions, voice, and body movements

[0699] Output: Parsed emotion data

[0700] Step 9: Dynamic adjustment based on emotions

[0701] The server dynamically adjusts elements in the virtual space based on data obtained from the emotion engine. For example, if the user is excited, the server will brighten the lights and change the music to an upbeat setting. Conversely, if the user is relaxed, the server will dim the lights and play relaxing music.

[0702] Input: Parsed emotion data

[0703] Output: A tuned virtual environment

[0704] Through these steps, the system can provide users with a personalized, emotionally-responsive, and realistic virtual reality experience.

[0705] (Application example 2)

[0706] 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."

[0707] Conventional virtual reality systems have difficulty in realistically recreating the time period and location desired by the user, and dynamically adjusting the atmosphere and experience of the location. Furthermore, they lack the ability to adjust the environment in real time according to the user's emotional state, making it difficult to sufficiently improve the quality of the user experience. Therefore, there is a need for a customized, realistic virtual reality experience that meets diverse user needs.

[0708] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for inputting a user's desired location and era; means for transmitting the input information to the server; means for the server to receive the information and collect related data; means for generating a metaverse space based on the data collected by the server; means for transmitting data of the generated metaverse space to the terminal; means for the terminal to decompress the received data and convert it into a format usable by the VR device; means for the VR device to provide a virtual space to the user; emotion analysis means for analyzing the user's emotional state in real time; and means for dynamically adjusting elements of the virtual space based on the analysis results. This provides a realistic virtual reality experience customized to the user's desired era and location, and also enables dynamic environmental adjustment based on the user's emotional state.

[0709] "Means for users to input desired locations and eras" is a function that provides an interface for users to input specific locations and eras they wish to visit.

[0710] The "means for transmitting input information to the server" is a communication function for transmitting the location and age information input by the user to the server.

[0711] The "means for the server to receive information and collect related data" is a function for the server to collect related data from the Internet or a database based on the user's input information received.

[0712] The "means for generating a metaverse space based on data collected by the server" refers to software or algorithms on the server that use the collected data to generate a virtual reality space.

[0713] The "means for transmitting data of the generated metaverse space to the terminal" is a communication means for transmitting data of the metaverse space generated by the server to the user's terminal.

[0714] "Means for decompressing data received by the terminal and converting it into a format usable by the VR device" refers to a conversion function for decompressing data received by the terminal and adapting it to a format usable by the VR device.

[0715] "The means by which a VR device provides a virtual space to a user" refers to the function of displaying and allowing a user to experience a virtual reality space through a VR device.

[0716] "Emotion analysis means for analyzing the user's emotional state in real time" is a technology for analyzing the user's facial expressions, voice, body movements, etc., to determine the user's emotional state in real time.

[0717] "Means for dynamically adjusting elements of the virtual space based on the analysis results" refers to a function that dynamically changes lighting, music, events, etc. in the virtual space based on the user's emotional state obtained by the emotion analysis means.

[0718] This invention describes in detail specific embodiments for implementing a system that generates a virtual space based on the user's desired era and location, and uses an emotion engine to provide a dynamic virtual reality experience that responds to the user's emotional state.

[0719] System Program

[0720] The present invention includes hardware such as a server, a user terminal, a VR device, and an emotion analysis engine, as well as software for data collection, analysis, transmission, and conversion. Specific hardware and software processes are described below.

[0721] Processing Description

[0722] 1. User Input and Information Submission

[0723] The user enters the desired time period and location into the device interface, for example, "New York in the 1980s," using a smartphone or PC application. This information is converted into JSON format and sent to the server.

[0724] 2. Data Collection and Analysis

[0725] Once the server receives the input, it makes requests to gather relevant data from the internet and various databases, which are then analyzed by AI algorithms to generate a realistic, detailed 3D model of New York in the 1980s.

[0726] Specific software used includes Python-based AI algorithms and 3D modeling tools (e.g., Blender, Unreal Engine).

[0727] 3. Metaverse space generation and transmission

[0728] The server uses 3D modeling tools to generate a metaverse based on the analysis results, and the generated data is compressed and sent to the user's device.

[0729] 4. Data conversion and use in VR devices

[0730] The device decompresses the received data and converts it into a format that can be used by the VR device (e.g., Oculus Rift, HTC Vive). This process uses specific format conversion software (e.g., a plugin for Unity or Unreal Engine).

[0731] 5. Sentiment Analysis and Dynamic Adjustment

[0732] While a user is experiencing a virtual space using a VR device, an emotion analysis engine analyzes the user's facial expressions, voice, and body movements in real time, and based on the analysis results, the lighting, music, and events in the VR environment are dynamically adjusted.

[0733] Specific hardware includes a camera and microphone to track the user's facial expressions and movements, and Python libraries and machine learning models (e.g., TensorFlow, OpenCV) are used to process this data.

[0734] Examples and prompts

[0735] Specific examples

[0736] Example prompt: "I want to experience a retro game shop in 1980s New York in a virtual space."

[0737] Based on this example, a generative AI model can collect data and generate a virtual space for a specified age and location. Furthermore, the atmosphere and events within the store can dynamically change in response to changes in the user's emotions, providing a more realistic and personalized experience.

[0738] In this way, the present invention provides users with a customized virtual reality experience based on their desired time period and location, and further enables a richer virtual experience by dynamically adjusting the environment based on the user's emotional state.

[0739] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0740] Step 1:

[0741] The user inputs the desired location and era. The user inputs the "location" and "era" they want to visit through the device interface. For example, they input "New York in the 1980s."

[0742] Input: The date and location the user entered into the device

[0743] Output: User input data captured by the device

[0744] Step 2:

[0745] The device sends the entered information to the server. The device converts the information entered by the user into JSON format and sends an API request to the server.

[0746] Input: User-entered data acquired by the device.

[0747] Output: The request sent to the server in JSON format.

[0748] Step 3:

[0749] The server receives the information, collects and analyzes related data, and then uses AI algorithms to gather relevant data from the internet and various databases based on the received information. For example, it might collect data, photos, and 3D models related to New York in the 1980s.

[0750] Input: The request received by the server in JSON format.

[0751] Output: Analyzed 3D model and related data

[0752] Step 4:

[0753] The server generates a metaverse space based on the collected data. The server then uses 3D modeling tools to generate a realistic virtual space based on the collected and analyzed data. For example, it creates 3D models using Unreal Engine or Blender.

[0754] Input: Analyzed 3D model and related data

[0755] Output: Generated 3D Metaverse spatial data

[0756] Step 5:

[0757] The generated metaverse space data is sent to the terminal. The server compresses the generated metaverse space data and sends it to the user's terminal.

[0758] Input: Generated 3D Metaverse spatial data

[0759] Output: Compressed metaverse spatial data

[0760] Step 6:

[0761] The terminal decompresses the received data and converts it into a format that can be used by the VR device. The terminal decompresses the received compressed data and converts it into a format suitable for the VR device (e.g., Oculus Rift format) so that it can be used by the VR device.

[0762] Input: Compressed Metaverse spatial data

[0763] Output: Data in a format that can be used by VR devices

[0764] Step 7:

[0765] The VR device provides the user with a virtual space. The user wears the VR device and can experience the generated metaverse space. They can walk around and operate it freely.

[0766] Input: Data in a format that can be used by the VR device

[0767] Output: User's virtual experience

[0768] Step 8:

[0769] The user's emotional state is analyzed in real time and elements of the virtual space are dynamically adjusted. The emotion analysis engine analyzes the user's facial expressions, voice, and body movements in real time, and the lighting, music, and events in the virtual space are dynamically adjusted based on the results.

[0770] Input: User's emotional state data

[0771] Output: Dynamically adjusted elements of the virtual space

[0772] 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.

[0773] 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.

[0774] 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.

[0775] [Third embodiment]

[0776] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0777] 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.

[0778] 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).

[0779] 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.

[0780] 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.

[0781] 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).

[0782] 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.

[0783] 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.

[0784] 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.

[0785] 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.

[0786] 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.

[0787] 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."

[0788] The present invention is a system that generates a customized metaverse space based on a user's desired era and location, and allows the user to experience the virtual space through a VR device. Specific embodiments of the present invention will be described below.

[0789] User Input

[0790] Users input their desired location and time period through a dedicated application or web platform, using text boxes and selection menus. For example, a user might input "I want to go to New York 100 years ago." This information is processed by the device and converted into the appropriate format.

[0791] Information transmission

[0792] The device converts the user's input into a standard data format, such as JSON, and sends it to the server using the appropriate API endpoint. The API request includes information about the location and era.

[0793] Data collection and analysis

[0794] The server analyzes the received information and collects data corresponding to the location and time period. For example, based on the information "New York" and "100 years ago," historical data, photos, maps, etc. related to New York in the 1910s are collected. This collection is done using specific databases and APIs.

[0795] The server then analyzes the collected data and extracts the information needed to generate the virtual space. Using AI algorithms, it identifies the shapes of buildings and streetscapes, and generates realistic 3D models.

[0796] Metaverse space generation

[0797] The server uses the collected data and analysis results to generate the Metaverse space. During this process, 3D modeling software and rendering engines are used to build detailed virtual environments based on the collected data. For example, when recreating the streets of New York in the 1910s, the buildings and street layouts of the time are taken into account.

[0798] Data Transmission and Conversion

[0799] The generated metaverse space data is compressed by the server and sent to the device. The device decompresses the received data and converts it into a format that can be used by the VR device. This data conversion uses software components appropriate for the specific format (e.g., Oculus VR format).

[0800] User Experience

[0801] Finally, users can wear VR devices and experience the Metaverse space of their choice, in a time and place of their choice. For example, they can move freely through a realistic virtual space that recreates New York in the 1910s, exploring the streets and lifestyles of the time.

[0802] Specific examples

[0803] New York 100 years ago

[0804] When a user types "I want to go to New York 100 years ago," the device sends this information to the server. The server collects data about New York in the 1910s and uses AI technology to create a 3D model of the cityscape. Once the data is generated, the server sends it to the device, which decompresses and converts it before displaying it on the VR device. Through the VR device, the user can freely explore the streets of New York at that time.

[0805] Paris 30 years later

[0806] When a user types "I want to go to Paris 30 years from now," the device sends the information to the server. The server collects predictive data about Paris of the future and uses AI to simulate what the city will look like 30 years from now. The generated data is sent to the device and converted into a format suitable for VR devices. Users can experience Paris of the future and explore the evolving city and new technologies.

[0807] In this manner, the present invention provides a user with a detailed and realistic virtual reality experience.

[0808] The processing flow will be explained below.

[0809] Step 1:

[0810] A user accesses a platform (website or application) and enters the desired location and era into an input form. For example, they might enter "I want to go to New York 100 years ago."

[0811] Step 2:

[0812] The device receives the user's input and converts it into an appropriate format (e.g., JSON format). At this time, the input text is divided into "location" and "era" and processed as structured data.

[0813] Step 3:

[0814] The device sends the converted data to the server by using an HTTP request to send the data to the server's API endpoint.

[0815] Step 4:

[0816] The server receives the request sent from the device, analyzes the data in the request body, and extracts the specified "location" and "era."

[0817] Step 5:

[0818] Based on the extracted information, the server gathers the necessary data from relevant databases and the Internet, for example by calling external APIs to get photos, maps, architectural designs, and other data related to New York in the 1910s.

[0819] Step 6:

[0820] The server analyzes the collected data and generates the Metaverse space. Using AI algorithms, it creates 3D models from the collected photos and map data, identifying the shapes of cityscapes and buildings.

[0821] Step 7:

[0822] The server then compiles the generated 3D model and the metaverse space data into a single file and compresses it. This compressed file is then ready to be sent to the device.

[0823] Step 8:

[0824] The server sends the compressed file as an HTTP response to send the generated data file to the terminal. The terminal receives this response and decompresses the data.

[0825] Step 9:

[0826] The device unzips the compressed file it receives and converts it into a format that can be used by the VR device, for example, by using specific libraries or software to convert it into the Oculus VR format.

[0827] Step 10:

[0828] The terminal transfers data to the VR device and prepares to launch the VR software. The user puts on the VR device and launches the application.

[0829] Step 11:

[0830] Users can wear a VR device and explore the Metaverse space of their choice, set in a time and place. For example, they can experience the streets of New York in the 1910s and wander freely through the buildings and streets.

[0831] Example 1

[0832] 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."

[0833] This invention relates to a system that efficiently generates a high-quality virtual space based on a specific era or location desired by the user, and allows the user to experience that virtual space on a VR device. Conventional systems have had problems in that generating the virtual space requires a great deal of time and effort, and it is difficult for users to operate it intuitively. In particular, real-time data collection and analysis, and high-precision 3D model generation have been challenges.

[0834] 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.

[0835] In this invention, the server includes a means for receiving information and collecting related data from databases and external services, a means for generating a 3D model using a generative AI model based on the collected data to generate a metaverse space, and a means for compressing and transmitting the generated metaverse space data to a terminal. This allows a highly accurate virtual space to be quickly generated in real time based on user input and efficiently experienced on a VR device.

[0836] A "user" is someone who wishes to experience a virtual space of a particular time period or location using a dedicated application or web platform.

[0837] A "terminal" is a computing device that receives information entered by a user, converts it into a standard data format, and transmits it to a server.

[0838] The "server" is a computer system that receives user input information, collects and analyzes related data, and generates the metaverse space.

[0839] A "standard data format" is a widely recognized data format, such as JSON, that facilitates communication and data exchange between different systems.

[0840] A "database" is a collection of information that organizes and stores collected data so that it can be efficiently accessed and searched by a server.

[0841] An "external service" is an API or web service provided by a third party that the server uses to collect the required data.

[0842] A "generative AI model" is a technology that uses AI algorithms to generate 3D models and virtual spaces from collected data.

[0843] A "3D model" is a three-dimensional digital object used to visually recreate a particular time period or place.

[0844] A "metaverse space" is a virtual reality environment generated based on the user's desired time period and location.

[0845] A "virtual reality device" is a device that allows a user to visually and tactilely experience the generated metaverse space, and examples include VR headsets.

[0846] The present invention is a system that generates a customized metaverse space based on the user's desired era and location, and allows the user to experience that virtual space through a VR device. Specific embodiments for carrying out the invention are described below.

[0847] Users input their desired location and era using a dedicated application or web platform. Input methods include a text box or voice recognition. For example, a user might input, "I want to go to New York 100 years ago." This information is received by the device and converted into a standard data format (e.g., JSON format).

[0848] The device sends the converted data to the server via an HTTP request, and the server analyzes the received information and uses a database or external service (e.g., a general-purpose API) to collect data related to the specified location and era.

[0849] The server analyzes the collected data using a generative AI model to generate the necessary 3D models. Deep learning frameworks such as TensorFlow and PyTorch are used as the AI ​​algorithm. This generates building shapes, streetscapes, and other elements to create the metaverse space.

[0850] Next, the server compresses the generated metaverse space data and sends it to the device. The device decompresses the received data and converts it into a format that can be used by virtual reality devices (e.g., Oculus VR format). The software component for this is a 3D modeling and rendering engine such as Blender or Unity.

[0851] Users can then put on a virtual reality device and experience the Metaverse space in a time and place of their choice, for example, moving freely through the streets of New York in the 1910s and visually observing how it came to be.

[0852] As a concrete example of how this works, the following prompt sentence can be given:

[0853] "Can you collect the data necessary to recreate the streets of New York 100 years ago and generate a realistic 3D model?"

[0854] "Please create a virtual space based on a simulation of Paris 30 years into the future."

[0855] In this way, the present invention provides users with an intuitive and realistic virtual reality experience, enabling the efficient generation of high-quality metaverse spaces based on specified eras and locations.

[0856] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0857] Step 1: User Input

[0858] The user launches a dedicated application or web platform. The user inputs the desired location and era using a text box or voice recognition function. An example of this input data is "I want to go to New York 100 years ago." The device receives this information, converts it into a standard data format (e.g., JSON format), and sends it to the next step.

[0859] Input: Desired location and time period (e.g. New York 100 years ago)

[0860] Output: Standard data format (e.g., {"location": "New York", "year": 1920})

[0861] Specific behavior:

[0862] The user launches the application and enters "I want to go to New York 100 years ago" into the input form.

[0863] The terminal converts the input data into JSON format.

[0864] Step 2: Send information

[0865] The device sends the information converted into a standard data format to the server in an HTTP request, specifying a specific API endpoint (e.g., https: / / api.example.com / create_metaverse). The request includes the location and era information entered by the user.

[0866] Input: Standard data format (e.g., {"location": "New York", "year": 1920})

[0867] Output: HTTP request (e.g. https: / / api.example.com / create_metaverse)

[0868] Specific behavior:

[0869] The terminal sends the converted data as an HTTP request.

[0870] The server prepares to receive and parse the request.

[0871] Step 3: Data collection and analysis

[0872] The server analyzes the received request and collects data related to the specified location and time period from databases and external services, such as historical data, photos, and maps about New York in the 1910s. This data is then analyzed using AI algorithms (e.g., TensorFlow, PyTorch) to extract the information needed to generate a 3D model for the virtual space.

[0873] Input: HTTP request (e.g., {"location": "New York", "year": 1920})

[0874] Output: Data with necessary information extracted (e.g., building shapes, city layout)

[0875] Specific behavior:

[0876] The server collects data on the specified location and age from databases or external services.

[0877] The server uses AI algorithms to analyze the data and extract the information needed for the virtual space.

[0878] Step 4: Metaverse space generation

[0879] Based on the analysis results, the server generates a metaverse space using 3D modeling software (e.g., Blender) and a rendering engine (e.g., Unity). For example, it specifically recreates the streets of New York in the 1910s. In this process, a detailed virtual environment is created, including buildings, roads, and surroundings.

[0880] Input: Data with necessary information extracted

[0881] Output: Generated 3D model (Metaverse space)

[0882] Specific behavior:

[0883] The server generates 3D models using Blender or Unity.

[0884] The generated metaverse space is completed.

[0885] Step 5: Data transmission and conversion

[0886] The server compresses the generated metaverse data and sends it to the device, which then decompresses it and converts it into a format that can be used by virtual reality devices (e.g., Oculus VR). This conversion is performed using software suitable for the specific format (e.g., Unity Converter).

[0887] Input: Generated 3D model data

[0888] Output: Unpacked virtual reality device format data

[0889] Specific behavior:

[0890] The server compresses the data and sends it to the terminal.

[0891] The device decompresses the received data and converts it into Oculus VR format.

[0892] Step 6: User Experience

[0893] Users can wear virtual reality devices and experience the Metaverse space of their choice, for example, moving freely through the streets of New York in the 1910s and visually experiencing the life and scenery of that era.

[0894] Input: Unpacked virtual reality device format data

[0895] Output: The virtual reality space experienced by the user

[0896] Specific behavior:

[0897] The user puts on the Oculus VR device.

[0898] A virtual reality device displays the generated metaverse space, and the user explores the space.

[0899] (Application example 1)

[0900] 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."

[0901] Current virtual reality experiences have limited the ability for users to realistically experience customized virtual spaces based on their desired specific geographic location or time period. Additionally, generating realistic virtual reality spaces using historical and future-predictive data remains a continuing challenge.

[0902] 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.

[0903] In this invention, the server includes means for inputting the user's desired geographical location and time information, means for transmitting the input information to the data server, means for the data server to receive the information and collect related data, means for generating a virtual reality space based on the collected information by the data server, means for transmitting data of the generated virtual reality space to the terminal, means for the terminal to decompress the received information and convert it into a format usable by the virtual reality device, means for the virtual reality device to provide the user with a virtual world, and means for generating a 3D model using an AI algorithm based on the collected data and simulating the virtual space using historical and predictive data, thereby enabling the user to experience a realistic and customized virtual reality space based on the era and location desired.

[0904] A "user" is someone who wishes to experience a virtual reality space.

[0905] A "geographic location" refers to a location that a user wants to visit in a virtual reality space.

[0906] "Temporal information" refers to a specific era or period of time that the user wants to experience in the virtual reality space.

[0907] "Input means" refers to an interface through which a user inputs geographic location and time information into the system.

[0908] The "data server" is a computer system that receives information sent by users, collects and analyzes related data, and generates a virtual reality space.

[0909] A "collection means" is a method or technique by which a data server collects relevant historical and / or forecast data.

[0910] The "means of generation" refers to the algorithms and software used to create a virtual reality space based on collected data.

[0911] A "terminal" is a device that transmits information entered by the user to a data server and decompresses and converts the received virtual reality space data.

[0912] A "VR device" is a device such as a head-mounted display or VR goggles that allows users to experience a virtual reality space.

[0913] "AI algorithms" are artificial intelligence techniques used to analyze collected data and generate 3D models.

[0914] A "3D model" is a three-dimensional digital model used to create a virtual reality space.

[0915] "Means of simulation" refers to a method for realistically recreating a virtual reality space from collected data using AI algorithms.

[0916] This invention is a system that generates a customized virtual reality (VR) space based on the user's desired geographical location and time information, and allows the user to experience it through a VR device. This system receives user input, and a data server collects and analyzes related data to generate the virtual reality space, and the terminal receives and converts the data and supplies it to the VR device, providing the user with an immersive experience.

[0917] User Input

[0918] Users input their desired geographic location and time information via a dedicated application or web platform, using text boxes and selection menus. For example, a user might input "I want to go to Paris in 1923." This information is processed by the device and converted into a standard data format (e.g., JSON format).

[0919] Information transmission

[0920] The device sends the converted information to the data server using a specific API endpoint, and the API request includes geographical location and time information, allowing the data server to efficiently analyze the received information and collect relevant data.

[0921] Data collection and analysis

[0922] The data server analyzes the received information and collects data based on geographic location and time information. This collection is done using specific databases and APIs. For example, based on the information "Paris" and "1923," historical data, photos, maps, etc. from that time are collected. Next, the data server analyzes the collected data and extracts the information needed to generate the virtual reality space. Using AI algorithms, it identifies the shapes of buildings and streetscapes, etc., and generates a 3D model. In this process, the generative AI model analyzes the prompt text and efficiently extracts and integrates the necessary data.

[0923] Metaverse space generation

[0924] The data server generates a virtual reality space based on the collected data and analysis results. In this process, 3D modeling software (e.g., Blender) and rendering engines (e.g., Unity) are used to build a detailed virtual environment. For example, to realistically recreate the streets of Paris in 1923, the buildings and street layouts of the time are taken into account.

[0925] Data Transmission and Conversion

[0926] The generated virtual reality space data is compressed by the data server and sent to the terminal. The terminal decompresses the received compressed data and converts it into a format that can be used by the VR device (e.g., Oculus VR format). This data conversion uses a specific software component.

[0927] User Experience

[0928] Ultimately, users can wear a VR device and experience a virtual reality space based on their desired geographic location and time. For example, they can move freely through a realistic virtual space that recreates Paris in 1923, exploring the cityscape and the daily lives of people at the time.

[0929] Examples:

[0930] If a user types "I want to go to New York 100 years ago," the data server will collect data about "New York" and "100 years ago" and use AI technology to create a 3D model of the cityscape. The generated data will be sent to the device, which will decompress and convert it and display it on the VR device. Through the VR device, the user can freely explore the city of New York at that time.

[0931] Example prompts to input to a generative AI model:

[0932] "Collect detailed data and photos of New York from 100 years ago. This will be the input data for an AI model that generates a virtual space based on the required information."

[0933] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0934] Step 1:

[0935] A user enters desired geographic location and time information into a dedicated application or web platform using text boxes and selection menus. For example, a user might enter "I want to go to New York 100 years ago." This information becomes the initial input data for the system.

[0936] Step 2:

[0937] The device receives user input information and converts it into a standard data format (e.g., JSON format). The converted data is sent to the data server using an API endpoint. The input data consists of "geographical location" and "temporal information."

[0938] Step 3:

[0939] The data server analyzes the received information and collects relevant data. Specifically, it searches and retrieves historical data, photos, maps, etc. using specific databases and APIs based on geographical location and time information. The input of this stage is "user requested data" and the output is "collected historical data and forecast data."

[0940] Step 4:

[0941] The data server uses a generative AI model to generate a 3D model based on the collected data. During this generation process, a prompt statement is input into the AI, and data calculations are performed to output an appropriate 3D model. The inputs are the collected data and the prompt statement, and the output is the generated 3D model data.

[0942] For example, a prompt might say, "Collect detailed data and photos of New York 100 years ago. This will be the input data for an AI model that will generate a virtual space based on the required information."

[0943] Step 5:

[0944] The data server creates rendering data to construct a virtual reality space based on the generated 3D model data. A realistic virtual space is created using 3D modeling software and rendering engines such as Blender and Unity. The input at this stage is the "generated 3D model data," and the output is "rendering data for the virtual reality space."

[0945] Step 6:

[0946] The data server compresses the rendering data of the generated virtual reality space and sends it to the terminal. Compression technology is used to reduce the size of the data to be sent and achieve high-speed data transfer. The input at this stage is "rendering data" and the output is "compressed rendering data."

[0947] Step 7:

[0948] The device receives the compressed data sent from the data server, decompresses it, and converts it into a format that can be used by the VR device. This data conversion uses software components that are appropriate for the specific format (e.g., Oculus VR format). The input to this stage is "compressed rendering data," and the output is "data in a format suitable for the VR device."

[0949] Step 8:

[0950] Finally, the terminal supplies the converted data to the VR device, providing the user with a virtual reality space based on the user's desired geographical location and time information. The user wears the VR device and experiences the generated virtual space. The input is "data in a format suitable for the VR device," and the output is "the user's immersive experience."

[0951] This series of processing steps allows users to easily experience a realistic and customized virtual reality space based on their desired location and time.

[0952] 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.

[0953] The present invention is a system that generates a customized metaverse space according to the user's desired era and location, and further combines it with an emotion engine to provide a dynamic virtual reality experience based on the user's emotional state. Specific embodiments for implementing the present invention will be described below.

[0954] User Input

[0955] Users use a dedicated application or web platform to input their desired location and time period. For example, a user might input "I want to go to New York 100 years ago." This information is processed by the device and converted into an appropriate format (e.g., JSON).

[0956] Information transmission

[0957] The device converts the user's input into JSON format and sends an API request to the server, which includes information about the location and era.

[0958] Data collection and analysis

[0959] The server receives the request and collects data corresponding to the location and time period. For example, given the information "New York" and "100 years ago," the server collects historical data, photos, maps, etc. related to New York in the 1910s.

[0960] The server then analyzes the collected data and extracts the information needed to generate the virtual space, using AI algorithms to identify things like building shapes and streetscapes, and generate realistic 3D models.

[0961] Metaverse space generation

[0962] The server uses the collected data and analysis results to generate the Metaverse space using 3D modeling software and rendering engines. For example, when recreating the streets of New York in the 1910s, the layout of buildings and streets at the time is taken into account.

[0963] Data Transmission and Conversion

[0964] The generated metaverse data is compressed by the server and sent to the device, which then decompresses it and converts it into a format that can be used by the VR device. This conversion uses software appropriate for the specific format (e.g., Oculus VR format).

[0965] User Experience

[0966] Users put on a VR device and explore the generated metaverse space. For example, they can freely walk around a virtual space that realistically recreates New York in the 1910s and experience the life and scenery of that time.

[0967] Introducing the Emotion Engine

[0968] The present invention further incorporates an emotion engine that recognizes the user's emotional state by analyzing the user's facial expressions, voice, body movements, etc., to determine the user's emotional state in real time.

[0969] Dynamic adjustment based on emotions

[0970] Based on the data obtained from the emotion engine, the server dynamically adjusts the elements in the virtual space. For example, if the user is excited, the lights in the virtual space can be brightened or the music can be changed to a more upbeat tempo. Conversely, if the user is relaxed, the lights can be dimmed or soft music can be played.

[0971] Specific examples

[0972] New York 100 years ago and the Emotion Engine

[0973] The user types, "I want to go to New York 100 years ago," and the device sends the information to the server. The server collects the data and uses AI technology to create a 3D model. The generated metaverse space is sent to the device and displayed on the VR device. Furthermore, an emotion engine analyzes the user's emotions in real time; for example, if the user shows a surprised expression, special events or animations in the virtual space are triggered.

[0974] Paris 30 years later and the Emotion Engine

[0975] The user types, "I want to go to Paris 30 years from now," and the device sends the information to the server. The server collects predictive data about future Paris and generates a virtual space using 3D modeling software. The generated data is sent to the device and converted into a format suitable for VR devices. The emotion engine analyzes the user's emotions, and if the user is in a relaxed state, it can guide them to a calm area of ​​future Paris (such as a park).

[0976] In this manner, the present invention provides a user with a personalized, realistic, and emotionally relevant virtual reality experience.

[0977] The processing flow will be explained below.

[0978] Step 1:

[0979] A user accesses a platform (website or application) and enters the desired location and era into an input form. For example, they might enter "I want to go to New York 100 years ago."

[0980] Step 2:

[0981] The device receives the user's input and converts it into an appropriate format (e.g., JSON format). At this time, the input text is divided into "location" and "era" and processed as structured data.

[0982] Step 3:

[0983] The device sends the converted data to the server by using an HTTP request to send the data to the server's API endpoint.

[0984] Step 4:

[0985] The server receives the request sent from the device, analyzes the data in the request body, and extracts the specified "location" and "era."

[0986] Step 5:

[0987] Based on the extracted information, the server gathers necessary data from relevant databases and the Internet, for example by calling external APIs to retrieve data such as photographs, maps, and architectural designs related to New York in the 1910s.

[0988] Step 6:

[0989] The server analyzes the collected data and generates the Metaverse space. Using AI algorithms, it creates 3D models from the collected photos and map data, identifying the shapes of cityscapes and buildings.

[0990] Step 7:

[0991] Based on the data collected and analyzed, the server uses 3D modeling tools to generate a virtual space, such as a 1910s New York streetscape, taking into account the placement of buildings and road layouts.

[0992] Step 8:

[0993] The server then compiles the generated 3D model and the metaverse space data into a single file and compresses it. This compressed file is then ready to be sent to the device.

[0994] Step 9:

[0995] The device receives the compressed file from the server and decompresses it, converting the decompressed data into a format that can be used by the VR device.

[0996] Step 10:

[0997] The user puts on the VR device and launches the application. The terminal transfers data to the VR device and displays the metaverse space of the user's desired time and location.

[0998] Step 11:

[0999] The VR device tracks the user's movements and provides an interactive virtual space, allowing the user to freely explore the streets of 1910s New York.

[1000] Step 12:

[1001] The emotion engine analyzes the user's facial expressions, voice, body movements, etc. in real time to recognize the user's emotional state.

[1002] Step 13:

[1003] The server dynamically adjusts elements in the virtual space based on data obtained from the emotion engine. For example, if a user shows a surprised expression, a special event can be triggered in the virtual space depending on that reaction.

[1004] Step 14:

[1005] The emotion engine continuously accumulates user emotional data and individually optimizes the virtual space based on past experience data, resulting in a more personalized experience and deeper interaction.

[1006] Step 15:

[1007] When the user ends the VR session, the VR device sends the session data to the terminal, which then sends this data back to the server to store for the next experience.

[1008] Through the above steps, the present invention realizes a system that provides a user with a detailed, emotionally realistic virtual reality experience.

[1009] Example 2

[1010] 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."

[1011] Conventional virtual reality systems have struggled to generate realistic virtual spaces based on the specific time period and location desired by the user. Furthermore, they lacked the ability to dynamically adjust the virtual space to take into account the user's emotional state, making it impossible to provide a personalized, realistic experience. Furthermore, they lacked mechanisms for efficiently converting and communicating user input, as well as data collection, analysis, generation, and distribution.

[1012] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1013] In this invention, the server includes means for inputting a location and era desired by the user, means for transmitting the input information to a communication device, means for the communication device to receive the information and collect related data, means for generating a virtual space based on the data collected by the communication device, means for transmitting data of the generated virtual space to a terminal, means for the terminal to decompress the received data and convert it into a format usable by a virtual reality device, means for the virtual reality device to provide the virtual space to the user, and means for recognizing the user's emotional state and dynamically adjusting elements in the virtual space, thereby making it possible to generate a realistic virtual space based on a specific era and location desired by the user and dynamically adjust it according to the user's emotional state.

[1014] A "user" is an entity that uses the system to experience the virtual space.

[1015] A "place" is a particular geographic area or region that a user wants to visit in a virtual space.

[1016] "Era" refers to a specific era or period that a user wants to experience in a virtual space.

[1017] "Input means" refers to a device or interface that allows a user to provide desired location and era information to the system.

[1018] "Communication device" refers to a server or network device that receives and processes information entered by a user.

[1019] The "means of collection" is the method or process by which a communications device obtains data related to a particular location and time period.

[1020] A "virtual space" is a three-dimensional virtual reality environment generated using digital technology.

[1021] "Generation means" refers to the process or technology for creating a virtual space based on data collected by a communication device.

[1022] "Transmitting means" refers to a method for transferring the generated virtual space data to the user's terminal.

[1023] A "terminal" is a device or equipment that a user uses to display a virtual space.

[1024] "Decompression" is the process of unpacking received compressed data and converting it into a usable format.

[1025] A "virtual reality device" is a head-mounted display or similar device that a user uses to experience a generated virtual space.

[1026] "Emotional state" refers to a user's current mental and emotional state.

[1027] The "means of recognition" refers to algorithms and sensor technology that analyze and understand emotional states in real time.

[1028] "Dynamic adjustment" is the process of changing elements in a virtual space depending on the user's emotional state.

[1029] The present invention is a system that generates a virtual space customized for a user's desired era and location, and combines it with an emotion engine to provide a dynamic virtual reality experience based on the user's emotional state. Specific embodiments for implementing the present invention will be described below.

[1030] First, a user uses a dedicated application or web platform to input the desired location and time period. For example, a user might input, "I want to go to New York 100 years ago." This information is processed by the device and converted into JSON format, which has a way of converting it into the appropriate data format. The device formats the input data into the correct format and checks for invalid data.

[1031] The converted data is sent from the device to the communication device. The communication device sends an API request to the server using an HTTP POST request. This request includes information about the location and era specified by the user. The communication device receives this information and collects related data from the internet and internal databases. For example, it may collect historical data, photos, maps, etc. related to "New York 100 years ago." This collection process efficiently gathers data from multiple data sources to ensure no gaps are missing.

[1032] The collected data is analyzed by the communication device. AI algorithms are used to analyze it, for example, to identify the shape of buildings and streetscapes and generate realistic 3D models. Specifically, artificial intelligence algorithms are used to check the integrity of the collected data and, if necessary, to complement or clean it. This process removes missing information and noise, resulting in a final dataset.

[1033] The communication device then uses the analysis results to generate a virtual space using 3D modeling software (e.g., Blender or Maya) and a rendering engine (e.g., Unreal Engine or Unity). For example, to faithfully recreate the New York cityscape of the 1910s, the device faithfully mimics the layout of buildings and streets from that time. Special events and interactions can also be set up during this generation process.

[1034] The generated virtual world data is compressed by the communication device and sent to the user's device. The compression method is optimized for efficient data transfer. The device receives this data, decompresses it, and converts it into a format that can be displayed on the virtual reality device (e.g., Oculus Quest). This is done using specific software on the device.

[1035] Users can wear a virtual reality device and explore the generated virtual space. For example, they can explore New York in the 1910s and experience the life and scenery of that time. Users can freely move their viewpoint and interact with interactive elements.

[1036] Furthermore, the present invention incorporates an emotion engine that recognizes the user's emotional state in real time. The user's facial expressions, voice, and body movements are captured and analyzed by the device's sensors. When a specific emotional state (e.g., excitement, relaxation, surprise, etc.) is detected, the server adjusts elements in the virtual space in real time based on the data obtained from the emotion engine. For example, if the user is excited, the server can brighten the lights in the virtual space and change the music to a more upbeat tempo. Conversely, if the user is relaxed, the server can dim the lights and play relaxing music. This provides a comfortable and personalized experience that corresponds to the user's emotional state.

[1037] Specific examples

[1038] New York 100 years ago and the Emotion Engine

[1039] The user types, "I want to go to New York 100 years ago," and the terminal sends that information to a communication device. The communication device collects data about New York in the 1910s and uses artificial intelligence technology to generate a 3D model. The generated virtual space is sent to the terminal and displayed on the user's virtual reality device. If the user makes a surprised expression, a special event is triggered in real time by the emotion engine, and a special animation is displayed in the virtual space.

[1040] Paris 30 years later and the Emotion Engine

[1041] The user types, "I want to go to Paris 30 years from now," and the device transmits the information to the communication device. The communication device collects predictive data about future Paris and generates a virtual space using 3D modeling software. The generated data is sent to the device and converted into a format suitable for the virtual reality device. If the user's emotional state is relaxed, the emotion engine detects this and guides the user to a quiet area of ​​future Paris, such as a park.

[1042] As described above, the present invention is a system that provides a user with a personalized, emotionally responsive, and realistic virtual reality experience.

[1043] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1044] Step 1: User Input

[1045] Users use a dedicated application or web platform to input their desired location and time period. For example, they might input "I want to go to New York 100 years ago." The input information (location and time period) is processed on the user's device and converted into JSON format.

[1046] Input: Location and time information (text format)

[1047] Output: Formatted JSON data

[1048] Step 2: Send information

[1049] The device converts the data into JSON format and sends it to the server. Specifically, it forms an HTTP POST request, includes the location and year information specified by the user, and sends this request to the server via the network.

[1050] Input: Formatted JSON data

[1051] Output: HTTP POST request to the server

[1052] Step 3: Data collection

[1053] Based on the received request, the server collects data related to the location and time period, such as historical data, photos, maps, etc. about "New York 100 years ago" from the Internet, historical databases, or other data sources.

[1054] Input: HTTP POST request

[1055] Output: Relevant data collected (from databases, APIs, etc.)

[1056] Step 4: Data analysis

[1057] The server analyzes the collected data using AI algorithms. For example, it identifies the shape of buildings and streetscapes and generates realistic 3D models. This analysis includes checking data consistency, cleansing, and adding necessary data.

[1058] Input: Relevant data collected

[1059] Output: Analysis results (information necessary to generate a 3D model)

[1060] Step 5: Metaverse space generation

[1061] The server generates a virtual space using 3D modeling software and a rendering engine based on the analysis results. For example, a 3D model is created using Blender or Maya, and then rendered in real time using Unreal Engine or Unity.

[1062] Input: Analysis results

[1063] Output: Generated virtual space data

[1064] Step 6: Data transmission and conversion

[1065] The generated virtual space data is compressed by the server and sent to the user's device, where it is decompressed and converted into a format suitable for the virtual reality device (e.g., Oculus Quest). This conversion process uses specific software and libraries.

[1066] Input: Generated virtual space data

[1067] Output: Data converted into a format usable by virtual reality devices

[1068] Step 7: User Experience

[1069] Users wear virtual reality devices and explore the generated virtual space. For example, users can freely walk around New York in the 1910s and experience the life and scenery of that time. Users can freely move their viewpoint and interact with interactive elements.

[1070] Input: Transformed data

[1071] Output: A real virtual experience

[1072] Step 8: Implementing the Emotion Engine

[1073] The system incorporates an emotion engine that analyzes the user's emotional state. The user's facial expressions, voice, and body movements are captured by the device's sensors and analyzed in real time. Specific emotional states (e.g., excitement, relaxation, surprise, etc.) are detected.

[1074] Input: User's facial expressions, voice, and body movements

[1075] Output: Parsed emotion data

[1076] Step 9: Dynamic adjustment based on emotions

[1077] The server dynamically adjusts elements in the virtual space based on data obtained from the emotion engine. For example, if the user is excited, the server will brighten the lights and change the music to an upbeat setting. Conversely, if the user is relaxed, the server will dim the lights and play relaxing music.

[1078] Input: Parsed emotion data

[1079] Output: A tuned virtual environment

[1080] Through these steps, the system can provide users with a personalized, emotionally-responsive, and realistic virtual reality experience.

[1081] (Application example 2)

[1082] 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."

[1083] Conventional virtual reality systems have difficulty in realistically recreating the time period and location desired by the user, and dynamically adjusting the atmosphere and experience of the location. Furthermore, they lack the ability to adjust the environment in real time according to the user's emotional state, making it difficult to sufficiently improve the quality of the user experience. Therefore, there is a need for a customized, realistic virtual reality experience that meets diverse user needs.

[1084] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for inputting a user's desired location and era; means for transmitting the input information to the server; means for the server to receive the information and collect related data; means for generating a metaverse space based on the data collected by the server; means for transmitting data of the generated metaverse space to the terminal; means for the terminal to decompress the received data and convert it into a format usable by the VR device; means for the VR device to provide a virtual space to the user; emotion analysis means for analyzing the user's emotional state in real time; and means for dynamically adjusting elements of the virtual space based on the analysis results. This provides a realistic virtual reality experience customized to the user's desired era and location, and also enables dynamic environmental adjustment based on the user's emotional state.

[1085] "Means for users to input desired locations and eras" is a function that provides an interface for users to input specific locations and eras they wish to visit.

[1086] The "means for transmitting input information to the server" is a communication function for transmitting the location and age information input by the user to the server.

[1087] The "means for the server to receive information and collect related data" is a function for the server to collect related data from the Internet or a database based on the user's input information received.

[1088] The "means for generating a metaverse space based on data collected by the server" refers to software or algorithms on the server that use the collected data to generate a virtual reality space.

[1089] The "means for transmitting data of the generated metaverse space to the terminal" is a communication means for transmitting data of the metaverse space generated by the server to the user's terminal.

[1090] "Means for decompressing data received by the terminal and converting it into a format usable by the VR device" refers to a conversion function for decompressing data received by the terminal and adapting it to a format usable by the VR device.

[1091] "The means by which a VR device provides a virtual space to a user" refers to the function of displaying and allowing a user to experience a virtual reality space through a VR device.

[1092] "Emotion analysis means for analyzing the user's emotional state in real time" is a technology for analyzing the user's facial expressions, voice, body movements, etc., to determine the user's emotional state in real time.

[1093] "Means for dynamically adjusting elements of the virtual space based on the analysis results" refers to a function that dynamically changes lighting, music, events, etc. in the virtual space based on the user's emotional state obtained by the emotion analysis means.

[1094] This invention describes in detail specific embodiments for implementing a system that generates a virtual space based on the user's desired era and location, and uses an emotion engine to provide a dynamic virtual reality experience that responds to the user's emotional state.

[1095] System Program

[1096] The present invention includes hardware such as a server, a user terminal, a VR device, and an emotion analysis engine, as well as software for data collection, analysis, transmission, and conversion. Specific hardware and software processes are described below.

[1097] Processing Description

[1098] 1. User Input and Information Submission

[1099] The user enters the desired time period and location into the device interface, for example, "New York in the 1980s," using a smartphone or PC application. This information is converted into JSON format and sent to the server.

[1100] 2. Data Collection and Analysis

[1101] Once the server receives the input, it makes requests to gather relevant data from the internet and various databases, which are then analyzed by AI algorithms to generate a realistic, detailed 3D model of New York in the 1980s.

[1102] Specific software used includes Python-based AI algorithms and 3D modeling tools (e.g., Blender, Unreal Engine).

[1103] 3. Metaverse space generation and transmission

[1104] The server uses 3D modeling tools to generate a metaverse based on the analysis results, and the generated data is compressed and sent to the user's device.

[1105] 4. Data conversion and use in VR devices

[1106] The device decompresses the received data and converts it into a format that can be used by the VR device (e.g., Oculus Rift, HTC Vive). This process uses specific format conversion software (e.g., a plugin for Unity or Unreal Engine).

[1107] 5. Sentiment Analysis and Dynamic Adjustment

[1108] While a user is experiencing a virtual space using a VR device, an emotion analysis engine analyzes the user's facial expressions, voice, and body movements in real time, and based on the analysis results, the lighting, music, and events in the VR environment are dynamically adjusted.

[1109] Specific hardware includes a camera and microphone to track the user's facial expressions and movements, and Python libraries and machine learning models (e.g., TensorFlow, OpenCV) are used to process this data.

[1110] Examples and prompts

[1111] Specific examples

[1112] Example prompt: "I want to experience a retro game shop in 1980s New York in a virtual space."

[1113] Based on this example, a generative AI model can collect data and generate a virtual space for a specified age and location. Furthermore, the atmosphere and events within the store can dynamically change in response to changes in the user's emotions, providing a more realistic and personalized experience.

[1114] In this way, the present invention provides users with a customized virtual reality experience based on their desired time period and location, and further enables a richer virtual experience by dynamically adjusting the environment based on the user's emotional state.

[1115] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1116] Step 1:

[1117] The user inputs the desired location and era. The user inputs the "location" and "era" they want to visit through the device interface. For example, they input "New York in the 1980s."

[1118] Input: The date and location the user entered into the device

[1119] Output: User input data captured by the device

[1120] Step 2:

[1121] The device sends the entered information to the server. The device converts the information entered by the user into JSON format and sends an API request to the server.

[1122] Input: User-entered data acquired by the device.

[1123] Output: The request sent to the server in JSON format.

[1124] Step 3:

[1125] The server receives the information, collects and analyzes related data, and then uses AI algorithms to gather relevant data from the internet and various databases based on the received information. For example, it might collect data, photos, and 3D models related to New York in the 1980s.

[1126] Input: The request received by the server in JSON format.

[1127] Output: Analyzed 3D model and related data

[1128] Step 4:

[1129] The server generates a metaverse space based on the collected data. The server then uses 3D modeling tools to generate a realistic virtual space based on the collected and analyzed data. For example, it creates 3D models using Unreal Engine or Blender.

[1130] Input: Analyzed 3D model and related data

[1131] Output: Generated 3D Metaverse spatial data

[1132] Step 5:

[1133] The generated metaverse space data is sent to the terminal. The server compresses the generated metaverse space data and sends it to the user's terminal.

[1134] Input: Generated 3D Metaverse spatial data

[1135] Output: Compressed metaverse spatial data

[1136] Step 6:

[1137] The terminal decompresses the received data and converts it into a format that can be used by the VR device. The terminal decompresses the received compressed data and converts it into a format suitable for the VR device (e.g., Oculus Rift format) so that it can be used by the VR device.

[1138] Input: Compressed Metaverse spatial data

[1139] Output: Data in a format that can be used by VR devices

[1140] Step 7:

[1141] The VR device provides the user with a virtual space. The user wears the VR device and can experience the generated metaverse space. They can walk around and operate it freely.

[1142] Input: Data in a format that can be used by the VR device

[1143] Output: User's virtual experience

[1144] Step 8:

[1145] The user's emotional state is analyzed in real time and elements of the virtual space are dynamically adjusted. The emotion analysis engine analyzes the user's facial expressions, voice, and body movements in real time, and the lighting, music, and events in the virtual space are dynamically adjusted based on the results.

[1146] Input: User's emotional state data

[1147] Output: Dynamically adjusted elements of the virtual space

[1148] 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.

[1149] 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.

[1150] 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.

[1151] [Fourth embodiment]

[1152] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1153] 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.

[1154] 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).

[1155] 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.

[1156] 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.

[1157] 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).

[1158] 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.

[1159] 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.

[1160] 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.

[1161] 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.

[1162] 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.

[1163] 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.

[1164] 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."

[1165] The present invention is a system that generates a customized metaverse space based on a user's desired era and location, and allows the user to experience the virtual space through a VR device. Specific embodiments of the present invention will be described below.

[1166] User Input

[1167] Users input their desired location and time period through a dedicated application or web platform, using text boxes and selection menus. For example, a user might input "I want to go to New York 100 years ago." This information is processed by the device and converted into the appropriate format.

[1168] Information transmission

[1169] The device converts the user's input into a standard data format, such as JSON, and sends it to the server using the appropriate API endpoint. The API request includes information about the location and era.

[1170] Data collection and analysis

[1171] The server analyzes the received information and collects data corresponding to the location and time period. For example, based on the information "New York" and "100 years ago," historical data, photos, maps, etc. related to New York in the 1910s are collected. This collection is done using specific databases and APIs.

[1172] The server then analyzes the collected data and extracts the information needed to generate the virtual space. Using AI algorithms, it identifies the shapes of buildings and streetscapes, and generates realistic 3D models.

[1173] Metaverse space generation

[1174] The server uses the collected data and analysis results to generate the Metaverse space. During this process, 3D modeling software and rendering engines are used to build detailed virtual environments based on the collected data. For example, when recreating the streets of New York in the 1910s, the buildings and street layouts of the time are taken into account.

[1175] Data Transmission and Conversion

[1176] The generated metaverse space data is compressed by the server and sent to the device. The device decompresses the received data and converts it into a format that can be used by the VR device. This data conversion uses software components appropriate for the specific format (e.g., Oculus VR format).

[1177] User Experience

[1178] Finally, users can wear VR devices and experience the Metaverse space of their choice, in a time and place of their choice. For example, they can move freely through a realistic virtual space that recreates New York in the 1910s, exploring the streets and lifestyles of the time.

[1179] Specific examples

[1180] New York 100 years ago

[1181] When a user types "I want to go to New York 100 years ago," the device sends this information to the server. The server collects data about New York in the 1910s and uses AI technology to create a 3D model of the cityscape. Once the data is generated, the server sends it to the device, which decompresses and converts it before displaying it on the VR device. Through the VR device, the user can freely explore the streets of New York at that time.

[1182] Paris 30 years later

[1183] When a user types "I want to go to Paris 30 years from now," the device sends the information to the server. The server collects predictive data about Paris of the future and uses AI to simulate what the city will look like 30 years from now. The generated data is sent to the device and converted into a format suitable for VR devices. Users can experience Paris of the future and explore the evolving city and new technologies.

[1184] In this manner, the present invention provides a user with a detailed and realistic virtual reality experience.

[1185] The processing flow will be explained below.

[1186] Step 1:

[1187] A user accesses a platform (website or application) and enters the desired location and era into an input form. For example, they might enter "I want to go to New York 100 years ago."

[1188] Step 2:

[1189] The device receives the user's input and converts it into an appropriate format (e.g., JSON format). At this time, the input text is divided into "location" and "era" and processed as structured data.

[1190] Step 3:

[1191] The device sends the converted data to the server by using an HTTP request to send the data to the server's API endpoint.

[1192] Step 4:

[1193] The server receives the request sent from the device, analyzes the data in the request body, and extracts the specified "location" and "era."

[1194] Step 5:

[1195] Based on the extracted information, the server gathers the necessary data from relevant databases and the Internet, for example by calling external APIs to get photos, maps, architectural designs, and other data related to New York in the 1910s.

[1196] Step 6:

[1197] The server analyzes the collected data and generates the Metaverse space. Using AI algorithms, it creates 3D models from the collected photos and map data, identifying the shapes of cityscapes and buildings.

[1198] Step 7:

[1199] The server then compiles the generated 3D model and the metaverse space data into a single file and compresses it. This compressed file is then ready to be sent to the device.

[1200] Step 8:

[1201] The server sends the compressed file as an HTTP response to send the generated data file to the terminal. The terminal receives this response and decompresses the data.

[1202] Step 9:

[1203] The device unzips the compressed file it receives and converts it into a format that can be used by the VR device, for example, by using specific libraries or software to convert it into the Oculus VR format.

[1204] Step 10:

[1205] The terminal transfers data to the VR device and prepares to launch the VR software. The user puts on the VR device and launches the application.

[1206] Step 11:

[1207] Users can wear a VR device and explore the Metaverse space of their choice, set in a time and place. For example, they can experience the streets of New York in the 1910s and wander freely through the buildings and streets.

[1208] Example 1

[1209] 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."

[1210] This invention relates to a system that efficiently generates a high-quality virtual space based on a specific era or location desired by the user, and allows the user to experience that virtual space on a VR device. Conventional systems have had problems in that generating the virtual space requires a great deal of time and effort, and it is difficult for users to operate it intuitively. In particular, real-time data collection and analysis, and high-precision 3D model generation have been challenges.

[1211] 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.

[1212] In this invention, the server includes a means for receiving information and collecting related data from databases and external services, a means for generating a 3D model using a generative AI model based on the collected data to generate a metaverse space, and a means for compressing and transmitting the generated metaverse space data to a terminal. This allows a highly accurate virtual space to be quickly generated in real time based on user input and efficiently experienced on a VR device.

[1213] A "user" is someone who wishes to experience a virtual space of a particular time period or location using a dedicated application or web platform.

[1214] A "terminal" is a computing device that receives information entered by a user, converts it into a standard data format, and transmits it to a server.

[1215] The "server" is a computer system that receives user input information, collects and analyzes related data, and generates the metaverse space.

[1216] A "standard data format" is a widely recognized data format, such as JSON, that facilitates communication and data exchange between different systems.

[1217] A "database" is a collection of information that organizes and stores collected data so that it can be efficiently accessed and searched by a server.

[1218] An "external service" is an API or web service provided by a third party that the server uses to collect the required data.

[1219] A "generative AI model" is a technology that uses AI algorithms to generate 3D models and virtual spaces from collected data.

[1220] A "3D model" is a three-dimensional digital object used to visually recreate a particular time period or place.

[1221] A "metaverse space" is a virtual reality environment generated based on the user's desired time period and location.

[1222] A "virtual reality device" is a device that allows a user to visually and tactilely experience the generated metaverse space, and examples include VR headsets.

[1223] The present invention is a system that generates a customized metaverse space based on the user's desired era and location, and allows the user to experience that virtual space through a VR device. Specific embodiments for carrying out the invention are described below.

[1224] Users input their desired location and era using a dedicated application or web platform. Input methods include a text box or voice recognition. For example, a user might input, "I want to go to New York 100 years ago." This information is received by the device and converted into a standard data format (e.g., JSON format).

[1225] The device sends the converted data to the server via an HTTP request, and the server analyzes the received information and uses a database or external service (e.g., a general-purpose API) to collect data related to the specified location and era.

[1226] The server analyzes the collected data using a generative AI model to generate the necessary 3D models. Deep learning frameworks such as TensorFlow and PyTorch are used as the AI ​​algorithm. This generates building shapes, streetscapes, and other elements to create the metaverse space.

[1227] Next, the server compresses the generated metaverse space data and sends it to the device. The device decompresses the received data and converts it into a format that can be used by virtual reality devices (e.g., Oculus VR format). The software component for this is a 3D modeling and rendering engine such as Blender or Unity.

[1228] Users can then put on a virtual reality device and experience the Metaverse space in a time and place of their choice, for example, moving freely through the streets of New York in the 1910s and visually observing how it came to be.

[1229] As a concrete example of how this works, the following prompt sentence can be given:

[1230] "Can you collect the data necessary to recreate the streets of New York 100 years ago and generate a realistic 3D model?"

[1231] "Please create a virtual space based on a simulation of Paris 30 years into the future."

[1232] In this way, the present invention provides users with an intuitive and realistic virtual reality experience, enabling the efficient generation of high-quality metaverse spaces based on specified eras and locations.

[1233] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1234] Step 1: User Input

[1235] The user launches a dedicated application or web platform. The user inputs the desired location and era using a text box or voice recognition function. An example of this input data is "I want to go to New York 100 years ago." The device receives this information, converts it into a standard data format (e.g., JSON format), and sends it to the next step.

[1236] Input: Desired location and time period (e.g. New York 100 years ago)

[1237] Output: Standard data format (e.g., {"location": "New York", "year": 1920})

[1238] Specific behavior:

[1239] The user launches the application and enters "I want to go to New York 100 years ago" into the input form.

[1240] The terminal converts the input data into JSON format.

[1241] Step 2: Send information

[1242] The device sends the information converted into a standard data format to the server in an HTTP request, specifying a specific API endpoint (e.g., https: / / api.example.com / create_metaverse). The request includes the location and era information entered by the user.

[1243] Input: Standard data format (e.g., {"location": "New York", "year": 1920})

[1244] Output: HTTP request (e.g. https: / / api.example.com / create_metaverse)

[1245] Specific behavior:

[1246] The terminal sends the converted data as an HTTP request.

[1247] The server prepares to receive and parse the request.

[1248] Step 3: Data collection and analysis

[1249] The server analyzes the received request and collects data related to the specified location and time period from databases and external services, such as historical data, photos, and maps about New York in the 1910s. This data is then analyzed using AI algorithms (e.g., TensorFlow, PyTorch) to extract the information needed to generate a 3D model for the virtual space.

[1250] Input: HTTP request (e.g., {"location": "New York", "year": 1920})

[1251] Output: Data with necessary information extracted (e.g., building shapes, city layout)

[1252] Specific behavior:

[1253] The server collects data on the specified location and age from databases or external services.

[1254] The server uses AI algorithms to analyze the data and extract the information needed for the virtual space.

[1255] Step 4: Metaverse space generation

[1256] Based on the analysis results, the server generates a metaverse space using 3D modeling software (e.g., Blender) and a rendering engine (e.g., Unity). For example, it specifically recreates the streets of New York in the 1910s. In this process, a detailed virtual environment is created, including buildings, roads, and surroundings.

[1257] Input: Data with necessary information extracted

[1258] Output: Generated 3D model (Metaverse space)

[1259] Specific behavior:

[1260] The server generates 3D models using Blender or Unity.

[1261] The generated metaverse space is completed.

[1262] Step 5: Data transmission and conversion

[1263] The server compresses the generated metaverse data and sends it to the device, which then decompresses it and converts it into a format that can be used by virtual reality devices (e.g., Oculus VR). This conversion is performed using software suitable for the specific format (e.g., Unity Converter).

[1264] Input: Generated 3D model data

[1265] Output: Unpacked virtual reality device format data

[1266] Specific behavior:

[1267] The server compresses the data and sends it to the terminal.

[1268] The device decompresses the received data and converts it into Oculus VR format.

[1269] Step 6: User Experience

[1270] Users can wear virtual reality devices and experience the Metaverse space of their choice, for example, moving freely through the streets of New York in the 1910s and visually experiencing the life and scenery of that era.

[1271] Input: Unpacked virtual reality device format data

[1272] Output: The virtual reality space experienced by the user

[1273] Specific behavior:

[1274] The user puts on the Oculus VR device.

[1275] A virtual reality device displays the generated metaverse space, and the user explores the space.

[1276] (Application example 1)

[1277] 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."

[1278] Current virtual reality experiences have limited the ability for users to realistically experience customized virtual spaces based on their desired specific geographic location or time period. Additionally, generating realistic virtual reality spaces using historical and future-predictive data remains a continuing challenge.

[1279] 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.

[1280] In this invention, the server includes means for inputting the user's desired geographical location and time information, means for transmitting the input information to the data server, means for the data server to receive the information and collect related data, means for generating a virtual reality space based on the collected information by the data server, means for transmitting data of the generated virtual reality space to the terminal, means for the terminal to decompress the received information and convert it into a format usable by the virtual reality device, means for the virtual reality device to provide the user with a virtual world, and means for generating a 3D model using an AI algorithm based on the collected data and simulating the virtual space using historical and predictive data, thereby enabling the user to experience a realistic and customized virtual reality space based on the era and location desired.

[1281] A "user" is someone who wishes to experience a virtual reality space.

[1282] A "geographic location" refers to a location that a user wants to visit in a virtual reality space.

[1283] "Temporal information" refers to a specific era or period of time that the user wants to experience in the virtual reality space.

[1284] "Input means" refers to an interface through which a user inputs geographic location and time information into the system.

[1285] The "data server" is a computer system that receives information sent by users, collects and analyzes related data, and generates a virtual reality space.

[1286] A "collection means" is a method or technique by which a data server collects relevant historical and / or forecast data.

[1287] The "means of generation" refers to the algorithms and software used to create a virtual reality space based on collected data.

[1288] A "terminal" is a device that transmits information entered by the user to a data server and decompresses and converts the received virtual reality space data.

[1289] A "VR device" is a device such as a head-mounted display or VR goggles that allows users to experience a virtual reality space.

[1290] "AI algorithms" are artificial intelligence techniques used to analyze collected data and generate 3D models.

[1291] A "3D model" is a three-dimensional digital model used to create a virtual reality space.

[1292] "Means of simulation" refers to a method for realistically recreating a virtual reality space from collected data using AI algorithms.

[1293] This invention is a system that generates a customized virtual reality (VR) space based on the user's desired geographical location and time information, and allows the user to experience it through a VR device. This system receives user input, and a data server collects and analyzes related data to generate the virtual reality space, and the terminal receives and converts the data and supplies it to the VR device, providing the user with an immersive experience.

[1294] User Input

[1295] Users input their desired geographic location and time information via a dedicated application or web platform, using text boxes and selection menus. For example, a user might input "I want to go to Paris in 1923." This information is processed by the device and converted into a standard data format (e.g., JSON format).

[1296] Information transmission

[1297] The device sends the converted information to the data server using a specific API endpoint, and the API request includes geographical location and time information, allowing the data server to efficiently analyze the received information and collect relevant data.

[1298] Data collection and analysis

[1299] The data server analyzes the received information and collects data based on geographic location and time information. This collection is done using specific databases and APIs. For example, based on the information "Paris" and "1923," historical data, photos, maps, etc. from that time are collected. Next, the data server analyzes the collected data and extracts the information needed to generate the virtual reality space. Using AI algorithms, it identifies the shapes of buildings and streetscapes, etc., and generates a 3D model. In this process, the generative AI model analyzes the prompt text and efficiently extracts and integrates the necessary data.

[1300] Metaverse space generation

[1301] The data server generates a virtual reality space based on the collected data and analysis results. In this process, 3D modeling software (e.g., Blender) and rendering engines (e.g., Unity) are used to build a detailed virtual environment. For example, to realistically recreate the streets of Paris in 1923, the buildings and street layouts of the time are taken into account.

[1302] Data Transmission and Conversion

[1303] The generated virtual reality space data is compressed by the data server and sent to the terminal. The terminal decompresses the received compressed data and converts it into a format that can be used by the VR device (e.g., Oculus VR format). This data conversion uses a specific software component.

[1304] User Experience

[1305] Ultimately, users can wear a VR device and experience a virtual reality space based on their desired geographic location and time. For example, they can move freely through a realistic virtual space that recreates Paris in 1923, exploring the cityscape and the daily lives of people at the time.

[1306] Examples:

[1307] If a user types "I want to go to New York 100 years ago," the data server will collect data about "New York" and "100 years ago" and use AI technology to create a 3D model of the cityscape. The generated data will be sent to the device, which will decompress and convert it and display it on the VR device. Through the VR device, the user can freely explore the city of New York at that time.

[1308] Example prompts to input to a generative AI model:

[1309] "Collect detailed data and photos of New York from 100 years ago. This will be the input data for an AI model that generates a virtual space based on the required information."

[1310] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1311] Step 1:

[1312] A user enters desired geographic location and time information into a dedicated application or web platform using text boxes and selection menus. For example, a user might enter "I want to go to New York 100 years ago." This information becomes the initial input data for the system.

[1313] Step 2:

[1314] The device receives user input information and converts it into a standard data format (e.g., JSON format). The converted data is sent to the data server using an API endpoint. The input data consists of "geographical location" and "temporal information."

[1315] Step 3:

[1316] The data server analyzes the received information and collects relevant data. Specifically, it searches and retrieves historical data, photos, maps, etc. using specific databases and APIs based on geographical location and time information. The input of this stage is "user requested data" and the output is "collected historical data and forecast data."

[1317] Step 4:

[1318] The data server uses a generative AI model to generate a 3D model based on the collected data. During this generation process, a prompt statement is input into the AI, and data calculations are performed to output an appropriate 3D model. The inputs are the collected data and the prompt statement, and the output is the generated 3D model data.

[1319] For example, a prompt might say, "Collect detailed data and photos of New York 100 years ago. This will be the input data for an AI model that will generate a virtual space based on the required information."

[1320] Step 5:

[1321] The data server creates rendering data to construct a virtual reality space based on the generated 3D model data. A realistic virtual space is created using 3D modeling software and rendering engines such as Blender and Unity. The input at this stage is the "generated 3D model data," and the output is "rendering data for the virtual reality space."

[1322] Step 6:

[1323] The data server compresses the rendering data of the generated virtual reality space and sends it to the terminal. Compression technology is used to reduce the size of the data to be sent and achieve high-speed data transfer. The input at this stage is "rendering data" and the output is "compressed rendering data."

[1324] Step 7:

[1325] The device receives the compressed data sent from the data server, decompresses it, and converts it into a format that can be used by the VR device. This data conversion uses software components that are appropriate for the specific format (e.g., Oculus VR format). The input to this stage is "compressed rendering data," and the output is "data in a format suitable for the VR device."

[1326] Step 8:

[1327] Finally, the terminal supplies the converted data to the VR device, providing the user with a virtual reality space based on the user's desired geographical location and time information. The user wears the VR device and experiences the generated virtual space. The input is "data in a format suitable for the VR device," and the output is "the user's immersive experience."

[1328] This series of processing steps allows users to easily experience a realistic and customized virtual reality space based on their desired location and time.

[1329] 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.

[1330] The present invention is a system that generates a customized metaverse space according to the user's desired era and location, and further combines it with an emotion engine to provide a dynamic virtual reality experience based on the user's emotional state. Specific embodiments for implementing the present invention will be described below.

[1331] User Input

[1332] Users use a dedicated application or web platform to input their desired location and time period. For example, a user might input "I want to go to New York 100 years ago." This information is processed by the device and converted into an appropriate format (e.g., JSON).

[1333] Information transmission

[1334] The device converts the user's input into JSON format and sends an API request to the server, which includes information about the location and era.

[1335] Data collection and analysis

[1336] The server receives the request and collects data corresponding to the location and time period. For example, given the information "New York" and "100 years ago," the server collects historical data, photos, maps, etc. related to New York in the 1910s.

[1337] The server then analyzes the collected data and extracts the information needed to generate the virtual space, using AI algorithms to identify things like building shapes and streetscapes, and generate realistic 3D models.

[1338] Metaverse space generation

[1339] The server uses the collected data and analysis results to generate the Metaverse space using 3D modeling software and rendering engines. For example, when recreating the streets of New York in the 1910s, the layout of buildings and streets at the time is taken into account.

[1340] Data Transmission and Conversion

[1341] The generated metaverse data is compressed by the server and sent to the device, which then decompresses it and converts it into a format that can be used by the VR device. This conversion uses software appropriate for the specific format (e.g., Oculus VR format).

[1342] User Experience

[1343] Users put on a VR device and explore the generated metaverse space. For example, they can freely walk around a virtual space that realistically recreates New York in the 1910s and experience the life and scenery of that time.

[1344] Introducing the Emotion Engine

[1345] The present invention further incorporates an emotion engine that recognizes the user's emotional state by analyzing the user's facial expressions, voice, body movements, etc., to determine the user's emotional state in real time.

[1346] Dynamic adjustment based on emotions

[1347] Based on the data obtained from the emotion engine, the server dynamically adjusts the elements in the virtual space. For example, if the user is excited, the lights in the virtual space can be brightened or the music can be changed to a more upbeat tempo. Conversely, if the user is relaxed, the lights can be dimmed or soft music can be played.

[1348] Specific examples

[1349] New York 100 years ago and the Emotion Engine

[1350] The user types, "I want to go to New York 100 years ago," and the device sends the information to the server. The server collects the data and uses AI technology to create a 3D model. The generated metaverse space is sent to the device and displayed on the VR device. Furthermore, an emotion engine analyzes the user's emotions in real time; for example, if the user shows a surprised expression, special events or animations in the virtual space are triggered.

[1351] Paris 30 years later and the Emotion Engine

[1352] The user types, "I want to go to Paris 30 years from now," and the device sends the information to the server. The server collects predictive data about future Paris and generates a virtual space using 3D modeling software. The generated data is sent to the device and converted into a format suitable for VR devices. The emotion engine analyzes the user's emotions, and if the user is in a relaxed state, it can guide them to a calm area of ​​future Paris (such as a park).

[1353] In this manner, the present invention provides a user with a personalized, realistic, and emotionally relevant virtual reality experience.

[1354] The processing flow will be explained below.

[1355] Step 1:

[1356] A user accesses a platform (website or application) and enters the desired location and era into an input form. For example, they might enter "I want to go to New York 100 years ago."

[1357] Step 2:

[1358] The device receives the user's input and converts it into an appropriate format (e.g., JSON format). At this time, the input text is divided into "location" and "era" and processed as structured data.

[1359] Step 3:

[1360] The device sends the converted data to the server by using an HTTP request to send the data to the server's API endpoint.

[1361] Step 4:

[1362] The server receives the request sent from the device, analyzes the data in the request body, and extracts the specified "location" and "era."

[1363] Step 5:

[1364] Based on the extracted information, the server gathers necessary data from relevant databases and the Internet, for example by calling external APIs to retrieve data such as photographs, maps, and architectural designs related to New York in the 1910s.

[1365] Step 6:

[1366] The server analyzes the collected data and generates the Metaverse space. Using AI algorithms, it creates 3D models from the collected photos and map data, identifying the shapes of cityscapes and buildings.

[1367] Step 7:

[1368] Based on the data collected and analyzed, the server uses 3D modeling tools to generate a virtual space, such as a 1910s New York streetscape, taking into account the placement of buildings and road layouts.

[1369] Step 8:

[1370] The server then compiles the generated 3D model and the metaverse space data into a single file and compresses it. This compressed file is then ready to be sent to the device.

[1371] Step 9:

[1372] The device receives the compressed file from the server and decompresses it, converting the decompressed data into a format that can be used by the VR device.

[1373] Step 10:

[1374] The user puts on the VR device and launches the application. The terminal transfers data to the VR device and displays the metaverse space of the user's desired time and location.

[1375] Step 11:

[1376] The VR device tracks the user's movements and provides an interactive virtual space, allowing the user to freely explore the streets of 1910s New York.

[1377] Step 12:

[1378] The emotion engine analyzes the user's facial expressions, voice, body movements, etc. in real time to recognize the user's emotional state.

[1379] Step 13:

[1380] The server dynamically adjusts elements in the virtual space based on data obtained from the emotion engine. For example, if a user shows a surprised expression, a special event can be triggered in the virtual space depending on that reaction.

[1381] Step 14:

[1382] The emotion engine continuously accumulates user emotional data and individually optimizes the virtual space based on past experience data, resulting in a more personalized experience and deeper interaction.

[1383] Step 15:

[1384] When the user ends the VR session, the VR device sends the session data to the terminal, which then sends this data back to the server to store for the next experience.

[1385] Through the above steps, the present invention realizes a system that provides a user with a detailed, emotionally realistic virtual reality experience.

[1386] Example 2

[1387] 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."

[1388] Conventional virtual reality systems have struggled to generate realistic virtual spaces based on the specific time period and location desired by the user. Furthermore, they lacked the ability to dynamically adjust the virtual space to take into account the user's emotional state, making it impossible to provide a personalized, realistic experience. Furthermore, they lacked mechanisms for efficiently converting and communicating user input, as well as data collection, analysis, generation, and distribution.

[1389] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1390] In this invention, the server includes means for inputting a location and era desired by the user, means for transmitting the input information to a communication device, means for the communication device to receive the information and collect related data, means for generating a virtual space based on the data collected by the communication device, means for transmitting data of the generated virtual space to a terminal, means for the terminal to decompress the received data and convert it into a format usable by a virtual reality device, means for the virtual reality device to provide the virtual space to the user, and means for recognizing the user's emotional state and dynamically adjusting elements in the virtual space, thereby making it possible to generate a realistic virtual space based on a specific era and location desired by the user and dynamically adjust it according to the user's emotional state.

[1391] A "user" is an entity that uses the system to experience the virtual space.

[1392] A "place" is a particular geographic area or region that a user wants to visit in a virtual space.

[1393] "Era" refers to a specific era or period that a user wants to experience in a virtual space.

[1394] "Input means" refers to a device or interface that allows a user to provide desired location and era information to the system.

[1395] "Communication device" refers to a server or network device that receives and processes information entered by a user.

[1396] The "means of collection" is the method or process by which a communications device obtains data related to a particular location and time period.

[1397] A "virtual space" is a three-dimensional virtual reality environment generated using digital technology.

[1398] "Generation means" refers to the process or technology for creating a virtual space based on data collected by a communication device.

[1399] "Transmitting means" refers to a method for transferring the generated virtual space data to the user's terminal.

[1400] A "terminal" is a device or equipment that a user uses to display a virtual space.

[1401] "Decompression" is the process of unpacking received compressed data and converting it into a usable format.

[1402] A "virtual reality device" is a head-mounted display or similar device that a user uses to experience a generated virtual space.

[1403] "Emotional state" refers to a user's current mental and emotional state.

[1404] The "means of recognition" refers to algorithms and sensor technology that analyze and understand emotional states in real time.

[1405] "Dynamic adjustment" is the process of changing elements in a virtual space depending on the user's emotional state.

[1406] The present invention is a system that generates a virtual space customized for a user's desired era and location, and combines it with an emotion engine to provide a dynamic virtual reality experience based on the user's emotional state. Specific embodiments for implementing the present invention will be described below.

[1407] First, a user uses a dedicated application or web platform to input the desired location and time period. For example, a user might input, "I want to go to New York 100 years ago." This information is processed by the device and converted into JSON format, which has a way of converting it into the appropriate data format. The device formats the input data into the correct format and checks for invalid data.

[1408] The converted data is sent from the device to the communication device. The communication device sends an API request to the server using an HTTP POST request. This request includes information about the location and era specified by the user. The communication device receives this information and collects related data from the internet and internal databases. For example, it may collect historical data, photos, maps, etc. related to "New York 100 years ago." This collection process efficiently gathers data from multiple data sources to ensure no gaps are missing.

[1409] The collected data is analyzed by the communication device. AI algorithms are used to analyze it, for example, to identify the shape of buildings and streetscapes and generate realistic 3D models. Specifically, artificial intelligence algorithms are used to check the integrity of the collected data and, if necessary, to complement or clean it. This process removes missing information and noise, resulting in a final dataset.

[1410] The communication device then uses the analysis results to generate a virtual space using 3D modeling software (e.g., Blender or Maya) and a rendering engine (e.g., Unreal Engine or Unity). For example, to faithfully recreate the New York cityscape of the 1910s, the device faithfully mimics the layout of buildings and streets from that time. Special events and interactions can also be set up during this generation process.

[1411] The generated virtual world data is compressed by the communication device and sent to the user's device. The compression method is optimized for efficient data transfer. The device receives this data, decompresses it, and converts it into a format that can be displayed on the virtual reality device (e.g., Oculus Quest). This is done using specific software on the device.

[1412] Users can wear a virtual reality device and explore the generated virtual space. For example, they can explore New York in the 1910s and experience the life and scenery of that time. Users can freely move their viewpoint and interact with interactive elements.

[1413] Furthermore, the present invention incorporates an emotion engine that recognizes the user's emotional state in real time. The user's facial expressions, voice, and body movements are captured and analyzed by the device's sensors. When a specific emotional state (e.g., excitement, relaxation, surprise, etc.) is detected, the server adjusts elements in the virtual space in real time based on the data obtained from the emotion engine. For example, if the user is excited, the server can brighten the lights in the virtual space and change the music to a more upbeat tempo. Conversely, if the user is relaxed, the server can dim the lights and play relaxing music. This provides a comfortable and personalized experience that corresponds to the user's emotional state.

[1414] Specific examples

[1415] New York 100 years ago and the Emotion Engine

[1416] The user types, "I want to go to New York 100 years ago," and the terminal sends that information to a communication device. The communication device collects data about New York in the 1910s and uses artificial intelligence technology to generate a 3D model. The generated virtual space is sent to the terminal and displayed on the user's virtual reality device. If the user makes a surprised expression, a special event is triggered in real time by the emotion engine, and a special animation is displayed in the virtual space.

[1417] Paris 30 years later and the Emotion Engine

[1418] The user types, "I want to go to Paris 30 years from now," and the device transmits the information to the communication device. The communication device collects predictive data about future Paris and generates a virtual space using 3D modeling software. The generated data is sent to the device and converted into a format suitable for the virtual reality device. If the user's emotional state is relaxed, the emotion engine detects this and guides the user to a quiet area of ​​future Paris, such as a park.

[1419] As described above, the present invention is a system that provides a user with a personalized, emotionally responsive, and realistic virtual reality experience.

[1420] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1421] Step 1: User Input

[1422] Users use a dedicated application or web platform to input their desired location and time period. For example, they might input "I want to go to New York 100 years ago." The input information (location and time period) is processed on the user's device and converted into JSON format.

[1423] Input: Location and time information (text format)

[1424] Output: Formatted JSON data

[1425] Step 2: Send information

[1426] The device converts the data into JSON format and sends it to the server. Specifically, it forms an HTTP POST request, includes the location and year information specified by the user, and sends this request to the server via the network.

[1427] Input: Formatted JSON data

[1428] Output: HTTP POST request to the server

[1429] Step 3: Data collection

[1430] Based on the received request, the server collects data related to the location and time period, such as historical data, photos, maps, etc. about "New York 100 years ago" from the Internet, historical databases, or other data sources.

[1431] Input: HTTP POST request

[1432] Output: Relevant data collected (from databases, APIs, etc.)

[1433] Step 4: Data analysis

[1434] The server analyzes the collected data using AI algorithms. For example, it identifies the shape of buildings and streetscapes and generates realistic 3D models. This analysis includes checking data consistency, cleansing, and adding necessary data.

[1435] Input: Relevant data collected

[1436] Output: Analysis results (information necessary to generate a 3D model)

[1437] Step 5: Metaverse space generation

[1438] The server generates a virtual space using 3D modeling software and a rendering engine based on the analysis results. For example, a 3D model is created using Blender or Maya, and then rendered in real time using Unreal Engine or Unity.

[1439] Input: Analysis results

[1440] Output: Generated virtual space data

[1441] Step 6: Data transmission and conversion

[1442] The generated virtual space data is compressed by the server and sent to the user's device, where it is decompressed and converted into a format suitable for the virtual reality device (e.g., Oculus Quest). This conversion process uses specific software and libraries.

[1443] Input: Generated virtual space data

[1444] Output: Data converted into a format usable by virtual reality devices

[1445] Step 7: User Experience

[1446] Users wear virtual reality devices and explore the generated virtual space. For example, users can freely walk around New York in the 1910s and experience the life and scenery of that time. Users can freely move their viewpoint and interact with interactive elements.

[1447] Input: Transformed data

[1448] Output: A real virtual experience

[1449] Step 8: Implementing the Emotion Engine

[1450] The system incorporates an emotion engine that analyzes the user's emotional state. The user's facial expressions, voice, and body movements are captured by the device's sensors and analyzed in real time. Specific emotional states (e.g., excitement, relaxation, surprise, etc.) are detected.

[1451] Input: User's facial expressions, voice, and body movements

[1452] Output: Parsed emotion data

[1453] Step 9: Dynamic adjustment based on emotions

[1454] The server dynamically adjusts elements in the virtual space based on data obtained from the emotion engine. For example, if the user is excited, the server will brighten the lights and change the music to an upbeat setting. Conversely, if the user is relaxed, the server will dim the lights and play relaxing music.

[1455] Input: Parsed emotion data

[1456] Output: A tuned virtual environment

[1457] Through these steps, the system can provide users with a personalized, emotionally-responsive, and realistic virtual reality experience.

[1458] (Application example 2)

[1459] 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."

[1460] Conventional virtual reality systems have difficulty in realistically recreating the time period and location desired by the user, and dynamically adjusting the atmosphere and experience of the location. Furthermore, they lack the ability to adjust the environment in real time according to the user's emotional state, making it difficult to sufficiently improve the quality of the user experience. Therefore, there is a need for a customized, realistic virtual reality experience that meets diverse user needs.

[1461] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for inputting a user's desired location and era; means for transmitting the input information to the server; means for the server to receive the information and collect related data; means for generating a metaverse space based on the data collected by the server; means for transmitting data of the generated metaverse space to the terminal; means for the terminal to decompress the received data and convert it into a format usable by the VR device; means for the VR device to provide a virtual space to the user; emotion analysis means for analyzing the user's emotional state in real time; and means for dynamically adjusting elements of the virtual space based on the analysis results. This provides a realistic virtual reality experience customized to the user's desired era and location, and also enables dynamic environmental adjustment based on the user's emotional state.

[1462] "Means for users to input desired locations and eras" is a function that provides an interface for users to input specific locations and eras they wish to visit.

[1463] The "means for transmitting input information to the server" is a communication function for transmitting the location and age information input by the user to the server.

[1464] The "means for the server to receive information and collect related data" is a function for the server to collect related data from the Internet or a database based on the user's input information received.

[1465] The "means for generating a metaverse space based on data collected by the server" refers to software or algorithms on the server that use the collected data to generate a virtual reality space.

[1466] The "means for transmitting data of the generated metaverse space to the terminal" is a communication means for transmitting data of the metaverse space generated by the server to the user's terminal.

[1467] "Means for decompressing data received by the terminal and converting it into a format usable by the VR device" refers to a conversion function for decompressing data received by the terminal and adapting it to a format usable by the VR device.

[1468] "The means by which a VR device provides a virtual space to a user" refers to the function of displaying and allowing a user to experience a virtual reality space through a VR device.

[1469] "Emotion analysis means for analyzing the user's emotional state in real time" is a technology for analyzing the user's facial expressions, voice, body movements, etc., to determine the user's emotional state in real time.

[1470] "Means for dynamically adjusting elements of the virtual space based on the analysis results" refers to a function that dynamically changes lighting, music, events, etc. in the virtual space based on the user's emotional state obtained by the emotion analysis means.

[1471] This invention describes in detail specific embodiments for implementing a system that generates a virtual space based on the user's desired era and location, and uses an emotion engine to provide a dynamic virtual reality experience that responds to the user's emotional state.

[1472] System Program

[1473] The present invention includes hardware such as a server, a user terminal, a VR device, and an emotion analysis engine, as well as software for data collection, analysis, transmission, and conversion. Specific hardware and software processes are described below.

[1474] Processing Description

[1475] 1. User Input and Information Submission

[1476] The user enters the desired time period and location into the device interface, for example, "New York in the 1980s," using a smartphone or PC application. This information is converted into JSON format and sent to the server.

[1477] 2. Data Collection and Analysis

[1478] Once the server receives the input, it makes requests to gather relevant data from the internet and various databases, which are then analyzed by AI algorithms to generate a realistic, detailed 3D model of New York in the 1980s.

[1479] Specific software used includes Python-based AI algorithms and 3D modeling tools (e.g., Blender, Unreal Engine).

[1480] 3. Metaverse space generation and transmission

[1481] The server uses 3D modeling tools to generate a metaverse based on the analysis results, and the generated data is compressed and sent to the user's device.

[1482] 4. Data conversion and use in VR devices

[1483] The device decompresses the received data and converts it into a format that can be used by the VR device (e.g., Oculus Rift, HTC Vive). This process uses specific format conversion software (e.g., a plugin for Unity or Unreal Engine).

[1484] 5. Sentiment Analysis and Dynamic Adjustment

[1485] While a user is experiencing a virtual space using a VR device, an emotion analysis engine analyzes the user's facial expressions, voice, and body movements in real time, and based on the analysis results, the lighting, music, and events in the VR environment are dynamically adjusted.

[1486] Specific hardware includes a camera and microphone to track the user's facial expressions and movements, and Python libraries and machine learning models (e.g., TensorFlow, OpenCV) are used to process this data.

[1487] Examples and prompts

[1488] Specific examples

[1489] Example prompt: "I want to experience a retro game shop in 1980s New York in a virtual space."

[1490] Based on this example, a generative AI model can collect data and generate a virtual space for a specified age and location. Furthermore, the atmosphere and events within the store can dynamically change in response to changes in the user's emotions, providing a more realistic and personalized experience.

[1491] In this way, the present invention provides users with a customized virtual reality experience based on their desired time period and location, and further enables a richer virtual experience by dynamically adjusting the environment based on the user's emotional state.

[1492] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1493] Step 1:

[1494] The user inputs the desired location and era. The user inputs the "location" and "era" they want to visit through the device interface. For example, they input "New York in the 1980s."

[1495] Input: The date and location the user entered into the device

[1496] Output: User input data captured by the device

[1497] Step 2:

[1498] The device sends the entered information to the server. The device converts the information entered by the user into JSON format and sends an API request to the server.

[1499] Input: User-entered data acquired by the device.

[1500] Output: The request sent to the server in JSON format.

[1501] Step 3:

[1502] The server receives the information, collects and analyzes related data, and then uses AI algorithms to gather relevant data from the internet and various databases based on the received information. For example, it might collect data, photos, and 3D models related to New York in the 1980s.

[1503] Input: The request received by the server in JSON format.

[1504] Output: Analyzed 3D model and related data

[1505] Step 4:

[1506] The server generates a metaverse space based on the collected data. The server then uses 3D modeling tools to generate a realistic virtual space based on the collected and analyzed data. For example, it creates 3D models using Unreal Engine or Blender.

[1507] Input: Analyzed 3D model and related data

[1508] Output: Generated 3D Metaverse spatial data

[1509] Step 5:

[1510] The generated metaverse space data is sent to the terminal. The server compresses the generated metaverse space data and sends it to the user's terminal.

[1511] Input: Generated 3D Metaverse spatial data

[1512] Output: Compressed metaverse spatial data

[1513] Step 6:

[1514] The terminal decompresses the received data and converts it into a format that can be used by the VR device. The terminal decompresses the received compressed data and converts it into a format suitable for the VR device (e.g., Oculus Rift format) so that it can be used by the VR device.

[1515] Input: Compressed Metaverse spatial data

[1516] Output: Data in a format that can be used by VR devices

[1517] Step 7:

[1518] The VR device provides the user with a virtual space. The user wears the VR device and can experience the generated metaverse space. They can walk around and operate it freely.

[1519] Input: Data in a format that can be used by the VR device

[1520] Output: User's virtual experience

[1521] Step 8:

[1522] The user's emotional state is analyzed in real time and elements of the virtual space are dynamically adjusted. The emotion analysis engine analyzes the user's facial expressions, voice, and body movements in real time, and the lighting, music, and events in the virtual space are dynamically adjusted based on the results.

[1523] Input: User's emotional state data

[1524] Output: Dynamically adjusted elements of the virtual space

[1525] 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.

[1526] 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.

[1527] 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.

[1528] 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.

[1529] 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.

[1530] 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.

[1531] 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).

[1532] 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.

[1533] 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."

[1534] 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.

[1535] 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).

[1536] 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.

[1537] 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.

[1538] 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.

[1539] 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.

[1540] 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.

[1541] 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.

[1542] 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.

[1543] 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.

[1544] 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.

[1545] 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.

[1546] The following is further disclosed regarding the above embodiment.

[1547] (Claim 1)

[1548] a means for the user to input a desired location and era;

[1549] means for transmitting the input information to a server;

[1550] means for the server to receive the information and collect associated data;

[1551] A means for generating a metaverse space based on the data collected by the server;

[1552] A means for transmitting data of the generated metaverse space to a terminal;

[1553] A means for the terminal to decompress the received data and convert it into a format usable by the VR device;

[1554] A system including a means by which a VR device provides a virtual space to a user.

[1555] (Claim 2)

[1556] 2. The system according to claim 1, wherein the terminal converts the user's input information into JSON format and transmits it to the server.

[1557] (Claim 3)

[1558] The system of claim 1, wherein the server generates a 3D model using an AI algorithm based on the collected data.

[1559] "Example 1"

[1560] (Claim 1)

[1561] a means for the user to input a desired location and era;

[1562] A means for converting input information into a standard data format by the terminal and transmitting the converted information to a server;

[1563] A means by which the server receives the information and collects relevant data from databases and external services;

[1564] A means for generating a 3D model using a generative AI model based on data collected by the server and generating a metaverse space;

[1565] A means for compressing and transmitting data of the generated metaverse space to a terminal;

[1566] means for decompressing and converting the received data into a format usable by the virtual reality device;

[1567] A system including a means for a virtual reality device to provide a virtual space to a user.

[1568] (Claim 2)

[1569] 2. The system according to claim 1, wherein the terminal converts the user's input information into a standard data format and transmits the converted information to the server.

[1570] (Claim 3)

[1571] The system of claim 1, wherein the server generates a 3D model using a generative AI model based on the collected data.

[1572] "Application Example 1"

[1573] (Claim 1)

[1574] means for a user to input desired geographic location and temporal information;

[1575] means for transmitting the input information to a data server;

[1576] means for a data server to receive the information and collect relevant data;

[1577] A means for generating a virtual reality space based on the information collected by the data server;

[1578] means for transmitting data of the generated virtual reality space to a terminal;

[1579] means for decompressing and converting the received information into a format usable by the virtual reality device;

[1580] a means by which the virtual reality device provides a virtual world to a user;

[1581] A system that uses AI algorithms to generate 3D models based on data collection and includes a means to simulate virtual spaces using historical and predictive data.

[1582] (Claim 2)

[1583] 2. The system according to claim 1, wherein the terminal converts the user's input information into a standard data format and transmits it to the data server.

[1584] (Claim 3)

[1585] The system of claim 1, wherein the data server uses a generative AI model based on the collected information to analyze the prompt sentence and generate a 3D model.

[1586] "Example 2: Combining Emotion Engines"

[1587] (Claim 1)

[1588] a means for the user to input a desired location and era;

[1589] means for transmitting the input information to a communication device;

[1590] means for the communication device to receive the information and collect associated data;

[1591] A means for generating a virtual space based on data collected by the communication device;

[1592] means for transmitting data of the generated virtual space to a terminal;

[1593] means for decompressing and converting the received data into a format usable by the virtual reality device;

[1594] A means for the virtual reality device to provide a virtual space to a user;

[1595] A system including a means for recognizing a user's emotional state and dynamically adjusting elements within a virtual space.

[1596] (Claim 2)

[1597] 2. The system according to claim 1, wherein the terminal converts the user's input information into a standard data format and transmits it to the communication device.

[1598] (Claim 3)

[1599] The system of claim 1, wherein the communication device uses an artificial intelligence algorithm to generate a three-dimensional model based on the collected data.

[1600] "Application example 2 when combining emotion engines"

[1601] (Claim 1)

[1602] a means for the user to input a desired location and era;

[1603] means for transmitting the input information to a server;

[1604] means for the server to receive the information and collect associated data;

[1605] A means for generating a metaverse space based on the data collected by the server;

[1606] A means for transmitting data of the generated metaverse space to a terminal;

[1607] A means for decompressing the data received by the terminal and converting it into a format usable by the VR device;

[1608] The means by which VR devices provide users with virtual spaces,

[1609] emotion analysis means for analyzing the user's emotional state in real time;

[1610] The system includes a means for dynamically adjusting elements of the virtual space based on the analysis results.

[1611] (Claim 2)

[1612] 2. The system according to claim 1, wherein the terminal converts the user's input information into JSON format and transmits it to the server.

[1613] (Claim 3)

[1614] The system of claim 1 generates a 3D model using an AI algorithm based on the data collected by the server, and dynamically adjusts elements of the virtual space using an emotion analysis engine. [Explanation of symbols]

[1615] 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 a desired location and era; means for transmitting the input information to a server; means for the server to receive the information and collect associated data; A means for generating a metaverse space based on the data collected by the server; A means for transmitting data of the generated metaverse space to a terminal; A means for the terminal to decompress the received data and convert it into a format usable by the VR device; A system including a means by which a VR device provides a virtual space to a user.

2. 2. The system according to claim 1, wherein the terminal converts the user's input information into JSON format and transmits it to the server.

3. The system according to claim 1, wherein the server generates a 3D model using an AI algorithm based on the collected data.

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