system

Abstract

We provide the system. [Solution] Means for collecting electronic data related to specific historical periods and geographical locations, A means for analyzing the aforementioned electronic data and generating a three-dimensional model of past cityscapes, Means for constructing a virtual reality environment for displaying the aforementioned 3D model, Means for providing the aforementioned virtual reality environment to the user's terminal, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] An object of the present invention is to provide a means that enables people interested in historical backgrounds and cultures to realistically experience the streetscapes of specific past eras and geographical locations. However, it has been difficult to reproduce the past streetscapes in detail and accurately. Therefore, there is a need to efficiently and effectively restore the appearance of past streets and provide an experience in a virtual reality space.

Means for Solving the Problems

[0005] This invention provides means for collecting electronic data related to a specific historical period and geographical location. Furthermore, it provides means for analyzing the collected electronic data and generating a three-dimensional model of a past cityscape. This enables the construction of a virtual reality environment based on the generated three-dimensional model and provides that environment to the user's terminal, thereby realizing a system that allows users to intuitively experience what a city looked like in the past.

[0006] "Electronic data" refers to information stored or transmitted in a format that can be processed by a computer, and encompasses a wide range of digital content, including images, text, audio, and video.

[0007] A "3D model" is a digital representation with width, depth, and height, used to reproduce the shape and structure of physical space in digital space.

[0008] A "virtual reality environment" refers to an immersive digital environment created using computer technology, where users can interact and experience various simulations.

[0009] A "machine learning algorithm" is a set of techniques that allow computers to automatically learn patterns and knowledge from data and perform analysis and predictions.

[0010] A "terminal" is an electronic device used by a user to connect to a computer system and access its functions and data, and includes personal computers, smartphones, VR headsets, and other similar devices. [Brief explanation of the drawing]

[0011] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0012] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0013] First, let's explain the terminology used in the following explanation.

[0014] In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0015] In the following embodiments, the labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0016] In the following embodiments, the labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0017] In the following embodiments, the labeled communication I / F (Interface) is an interface that includes a communication processor and 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), or Bluetooth (registered trademark), etc.

[0018] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0019] [First Embodiment]

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

[0021] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0022] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0023] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0024] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0025] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0026] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0028] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

[0029] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0030] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0031] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0032] This invention is a system for recreating a cityscape associated with a specified historical period and geographical location within a virtual reality space. The following describes an embodiment of this system.

[0033] The terminal operated by the user first has an interface that allows the user to specify a particular time period and location in the past. Using this interface, the user inputs a specific time period and location, such as "Tokyo in 1920." The terminal then sends this information to the server.

[0034] The server collects electronic data related to a specified year and location from the internet and databases. This includes photographs, paintings, maps, and historical documents. The server analyzes this data and uses specific algorithms to generate a 3D model by applying a generative AI model. This generation process adjusts the shapes of buildings and the structure of the cityscape, aiming to provide the most accurate replica possible.

[0035] Next, the server constructs a virtual reality environment based on the generated 3D model. This environment includes a virtual cityscape rendered in real time, and an interface is created that allows the user to freely explore it. The server sends this virtual reality content to the terminal, which displays it to the user via VR goggles.

[0036] Users can wear VR goggles and actually explore a recreated city from the past. For example, if they choose Tokyo in 1920, they can walk around the main streets of that era and visually experience the culture and lifestyle of the time. This experience allows users to vividly feel the past and provides an opportunity to deepen their understanding of history.

[0037] This system allows users to visit various historical periods according to their individual interests and virtually experience historical sites. Through this, it is hoped that historical exploration will become a new learning opportunity that cannot be obtained through conventional methods, and will be utilized by many people.

[0038] The following describes the processing flow.

[0039] Step 1:

[0040] The user uses a terminal to input the desired time period and location into the interface. For example, the user might specify "London in 1920" and confirm the request based on that.

[0041] Step 2:

[0042] The device sends a request to the server containing information about the time period and location specified by the user. The request to the server includes specific year and coordinate information.

[0043] Step 3:

[0044] Based on the requests it receives, the server collects electronic data related to the city's past from the internet and databases. This data includes photographs, paintings, maps, and historical documents depicting the city's appearance at the time.

[0045] Step 4:

[0046] The server analyzes the collected data and generates a 3D model of past cityscapes using a generative AI model. The AI ​​model utilizes accumulated learning patterns to estimate building structures and city layouts.

[0047] Step 5:

[0048] The server constructs a virtual reality environment based on the generated 3D model. Specifically, it applies lighting and textures to the model, creating a virtual space that can be freely explored.

[0049] Step 6:

[0050] The server converts this virtual reality environment into a viewable data format, compresses it, and prepares it for streaming as needed. It then transfers the processed content to the terminal.

[0051] Step 7:

[0052] The device decompresses the received virtual reality environment and establishes a connection with the VR goggles. The user then puts on the goggles and can visually experience the recreated cityscape from the past.

[0053] Step 8:

[0054] Users can freely roam a virtual reality space and explore past eras. During this time, users can shift their viewpoint and perform various interactions.

[0055] (Example 1)

[0056] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0057] The problem this invention aims to solve is the difficulty in accurately recreating the streetscapes of specific historical periods and geographical locations. Conventional methods require considerable effort and time to collect and analyze historical data, and constructing accurate three-dimensional models is not easy. As a result, users have had limited opportunities to visually experience past cultures and lifestyles.

[0058] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0059] In this invention, the server includes means for collecting information related to a specific historical period and geographical location, means for analyzing the information and generating a three-dimensional structure of a historical cityscape using artificial intelligence technology, and means for constructing a virtual reality space for displaying the three-dimensional structure. This makes it possible for users to experience historical cityscapes with higher accuracy, more easily and quickly than before.

[0060] "Information" refers to all data related to a specific historical period and geographical location, including visual data and documentary information.

[0061] "Artificial intelligence technology" refers to technologies that use machine learning techniques and other algorithms to analyze data and generate models.

[0062] "Three-dimensional structure" refers to a model that recreates past cityscapes in three dimensions, and includes structures that are visually and spatially represented.

[0063] "Virtual reality space" refers to a computer-generated three-dimensional environment that a user can virtually experience, and includes environments capable of displaying three-dimensional structures.

[0064] "Device" refers to a device that allows users to visually experience a virtual reality space.

[0065] This system allows users to experience historical periods and geographical locations in a virtual reality space. Users first select a historical period and place of interest through the terminal's interface. For example, they might enter "Tokyo in 1920."

[0066] This information is sent to a server, which collects information about past eras and locations from the internet and databases. The server analyzes this information and uses artificial intelligence technology to generate a three-dimensional model of the past cityscape. Specifically, it uses machine learning techniques to recreate the three-dimensional cityscape from the collected data. This generation process employs algorithms that use, for example, computer vision technology.

[0067] The server then constructs a virtual reality space based on the generated 3D structure. This virtual reality space is developed using software such as Unity. The constructed virtual space is then sent directly to the user's terminal.

[0068] The device provides this virtual reality space to the user via VR goggles, allowing the user to freely explore it. For example, a prompt such as, "Generate a 3D model of Tokyo's streets in the 1920s. This model should include historical buildings and the general atmosphere of the streets at that time," is passed to a generation AI model to create a concrete three-dimensional structure.

[0069] This embodiment allows users to visually and experientially recreate past cityscapes, enabling them to learn history in a new way.

[0070] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0071] Step 1:

[0072] The user inputs historical periods and geographical locations of interest through the terminal's interface. The input data includes specific information about the time period and location, such as "Tokyo in 1920." This information is then transmitted from the terminal to the server.

[0073] Step 2:

[0074] The server receives information about the time period and location specified by the user. Based on the entered information, the server accesses the internet and specific databases to collect relevant information such as photographs, maps, and documents. This results in the necessary set of electronic data.

[0075] Step 3:

[0076] The server analyzes the collected information and uses a generative AI model to create a prompt. This prompt is "Generate a 3D model of Tokyo's streetscape in the 1920s." The server inputs this prompt into the generative AI model and generates three-dimensional structural data to recreate the streetscape of the past in three dimensions.

[0077] Step 4:

[0078] Using the generated 3D structure data, the server constructs a virtual reality space. This process uses software like Unity to create a three-dimensional space that is rendered in real time. The virtual reality space is designed for users to virtually explore.

[0079] Step 5:

[0080] The server sends the constructed virtual reality data to the terminal. The terminal receives this data and displays it to the user using VR goggles. The user walks around in the virtual reality space and has the opportunity to directly experience history by experiencing the cityscape of the past.

[0081] (Application Example 1)

[0082] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0083] There is a growing demand for realistic experiences of specific historical periods and places. However, it is difficult to recreate the detailed streetscapes and culture of those eras using only existing information, and there is a need to provide accurate and immersive experiences based on historical facts.

[0084] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0085] In this invention, the server includes means for collecting digital information related to a specific historical period and geographical location, means for analyzing the digital information and generating a three-dimensional model of a historical urban landscape, and means for constructing a virtual reality space for displaying the three-dimensional model. This allows users to freely explore a real-time virtual experience of a specified period and location through a smartphone or visual device.

[0086] "Digital information related to a specific historical period and geographical location" refers to visual and textual information about streetscapes and events in a particular period and place, obtained from historical databases and online resources.

[0087] "Analyzing digital information" is the process of creating accurate three-dimensional models of cityscapes and structures from a given era, using collected digital data and generative AI models and algorithms.

[0088] "Generating a three-dimensional model of past urban landscapes" is a method of constructing real-world streetscapes and buildings using three-dimensional computer graphics based on analyzed digital information.

[0089] "Constructing a virtual reality space" refers to creating a virtual environment that users can explore visually and interactively using a generated three-dimensional model.

[0090] "Providing an interface" means providing users with the means to access a virtual reality space through a smartphone or visual device and to navigate that environment.

[0091] "Applying generative AI models using prompt statements" is a technique that involves providing input to a generative AI model via prompt statements to obtain appropriate output when generating 3D models or simulations based on specific historical information.

[0092] The system implementing this invention begins by having a server collect digital information associated with a specific historical period and geographical location. The server retrieves visual and textual data from the internet and online databases. Next, it uses a generative AI model to analyze this digital information. This analysis process includes specific algorithms for creating a three-dimensional model of historical urban landscapes.

[0093] The server constructs a virtual reality space using the generated 3D model. This virtual reality space is rendered in real time using software such as Unity or Unreal Engine. The server then provides this virtual reality space to the user's device. Users can access and explore this virtual environment through smartphones or visual devices (e.g., Oculus Quest 2).

[0094] For example, if a user specifies that they want to experience "Paris in 1920," the server collects and analyzes relevant information about that era and region, and constructs a virtual reality space. The user can then use visual devices to explore the streets of Paris in 1920 in detail. This system uses prompts to obtain specific outputs from the AI ​​model. For example, a possible prompt might be, "Please generate a 3D model that recreates the streets of Paris in 1920. I would especially like a detailed depiction including buildings and streets around the Louvre Museum." In this way, the user can obtain a historical and detailed virtual experience.

[0095] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0096] Step 1:

[0097] The user uses their device to specify a particular historical year and geographical location. The system receives data as input, such as "Paris in 1920," via the user interface and sends it to the server. The output is the specified year and location information.

[0098] Step 2:

[0099] The server collects relevant digital information based on the specified information it receives. Specifically, it searches the internet and databases to retrieve the corresponding visual and textual data. The input for this step is the specified date and location information, and the output is a set of related digital information.

[0100] Step 3:

[0101] The server analyzes the collected digital information and applies a generative AI model to generate a concrete three-dimensional model. In this process, it considers data on structures and cityscapes, and uses prompts to instruct the AI ​​to draw specific three-dimensional structures. The input consists of visual data and text information, and the output is a concrete three-dimensional model.

[0102] Step 4:

[0103] The server constructs a virtual reality space based on the generated 3D model. Using Unity or Unreal Engine, it builds a virtual space that users can access in real time. The input for this step is the 3D model, and the output is the virtual reality environment itself.

[0104] Step 5:

[0105] The server transmits the constructed virtual reality environment to the terminal and provides it to the user. The user wears a visual device and becomes immersed in the virtual environment. The input is data from the virtual reality environment, and the output is an immersive virtual exploration experience as the user's experience.

[0106] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0107] This invention provides a more immersive experience by combining a system that recreates a specific historical period and geographical location in a virtual reality space with an emotion engine that recognizes the user's emotions. This system consists of the following elements:

[0108] First, the user uses their device to specify a particular time period and location. For example, they might enter conditions such as "18th-century Paris" into the interface and send a request to the server. The server then uses this information to collect relevant electronic data from the internet and various databases. This electronic data includes old photographs, maps, and historical records.

[0109] Next, the server analyzes the collected data and generates a 3D model using a generative AI model. The model meticulously recreates past buildings and streets, providing an accurate replica. The model generated here forms the basic elements of the virtual reality environment.

[0110] Subsequently, the server activates the emotion engine and begins recognizing the user's emotional state. This emotion engine acquires the user's facial expression and voice data through the camera and microphone connected to the device. An AI algorithm analyzes this data and evaluates the user's emotions in real time.

[0111] Depending on the user's emotional state, the server dynamically adjusts elements within the virtual reality environment. For example, if the user makes a surprised expression, the system changes background sounds and lighting effects to make the experience more realistic and immersive. This allows the user to react intuitively to the environment and achieve a deep sense of immersion.

[0112] Users experience this tuned virtual reality environment through VR goggles, exploring the city of the past. Because the environment changes based on the user's emotions, it goes beyond mere visual recreation, creating a historical exploration that also involves emotional experiences.

[0113] Thus, by utilizing emotion recognition technology, this invention provides an interactive experience that responds to user reactions, enabling users to enjoy the past from a new perspective. This system has potential applications in various fields such as education and tourism, and is therefore expected to have a wide range of uses.

[0114] The following describes the processing flow.

[0115] Step 1:

[0116] The user uses the device's interface to enter a specific time period and location. For example, they might set it to "New York in 1920" and submit the request.

[0117] Step 2:

[0118] The device sends the user's request to the server. The request includes information about a specific year and geographical location.

[0119] Step 3:

[0120] The server collects electronic data related to a specified time period and location. It searches the internet and various databases for photographs, documents, maps, etc., and retrieves the necessary data.

[0121] Step 4:

[0122] The server analyzes the collected electronic data and generates a 3D model using a generated AI model. Based on the data, the AI ​​recreates the layout of buildings and cities, constructing the entire space in three dimensions.

[0123] Step 5:

[0124] The server creates a virtual reality environment based on a 3D model. This environment includes not only visual elements but also sound effects and lighting effects.

[0125] Step 6:

[0126] The server activates the emotion engine and prepares to recognize the user's emotions in real time. It collects the user's facial expression and voice data from the device's camera and microphone.

[0127] Step 7:

[0128] The emotion engine analyzes the user's emotional state and sends that information to the server. For example, if the user expresses surprise, this emotion data is transmitted to the server.

[0129] Step 8:

[0130] The server adjusts the virtual reality environment based on the user's emotional state. For example, it might emphasize background sounds or change the lighting of the environment in response to surprise.

[0131] Step 9:

[0132] The device displays a calibrated virtual reality environment to the user through VR goggles. Users can explore past eras in an interactive environment that changes according to their emotions.

[0133] (Example 2)

[0134] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0135] Conventional virtual reality systems have focused solely on the visual aspects when recreating past eras and locations, making it difficult to provide an experience that takes into account the user's emotions and reactions. As a result, they have not been able to achieve a deeper sense of immersion, and there is a need for methods to enrich the user experience.

[0136] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0137] In this invention, the server includes means for collecting information related to a specific time and place in the past, means for analyzing the information and generating a model that three-dimensionally reproduces the past, and means for recognizing the user's emotions and dynamically adjusting elements within the virtual environment. This enables an interactive and immersive virtual reality experience that responds to the user's emotions.

[0138] "Information" refers to data relating to a specific time period or geographical location, and includes both visual and textual information.

[0139] A "three-dimensional model" is a structure that reproduces past conditions in three dimensions, serving as a foundation for visually providing users with a past environment.

[0140] An "automated learning algorithm" is a computational method for generating models and optimizing systems based on data analysis, and it efficiently constructs three-dimensional models based on past data.

[0141] A "virtual environment" is a digital space designed to provide users with a virtual reality experience, enabling an immersive experience through the use of visual information.

[0142] "Means for recognizing the user's emotions" refers to technologies that analyze the user's facial expressions and voice to determine their current emotional state, and serve as the foundation for dynamically adapting the virtual environment.

[0143] In implementing the invention, this system mainly consists of three elements: a server, a terminal, and a user.

[0144] First, the user uses the terminal to specify the historical period and geographical location they wish to experience. When the user enters a prompt, such as "18th-century Paris," the terminal sends this request information to the server. In this process, the terminal acts as an interface, relaying the specific request to the server.

[0145] The server collects relevant information from the internet and dedicated databases based on the information it receives. This information includes visual information and literature information. The server then analyzes this information and uses a generative AI model to generate a model that reconstructs past events in three dimensions. The AI ​​model used needs to have the ability to efficiently analyze large amounts of data and construct a three-dimensional structure.

[0146] In addition, the server activates an engine to recognize the user's emotions and evaluates their emotional state in real time. During this process, the device uses its camera and microphone to collect data on facial expressions and voice. By analyzing this data using an AI algorithm, the user's emotions can be determined.

[0147] For example, if a user selects "17th-century London," the server analyzes relevant historical data and recreates the cityscape. If the server detects the user's surprise, it adjusts the background sounds and lighting effects to enhance them. This adjustment allows for a more realistic and immersive experience for the user.

[0148] Thus, this invention provides an interactive experience that changes the virtual environment in response to the user's emotions, thereby deepening their understanding of past events and places. This system is expected to be used in a wide range of fields, including education and tourism.

[0149] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0150] Step 1:

[0151] The user uses a terminal to specify the era and location they want to experience. As input, the user enters a prompt, such as "18th-century Paris." The terminal sends this request to the server. As output, the terminal generates formatted data containing the user's specifications.

[0152] Step 2:

[0153] Based on the specifications received from the user, the server collects relevant information from the internet and databases. Prompt statements are sent to the server as input. As output, the server generates an information set including historical photographs, maps, and bibliographic information. The server uses an efficient search algorithm to collect large amounts of information in a short time.

[0154] Step 3:

[0155] The server analyzes the collected information and applies a generative AI model to generate a model that recreates past events in three dimensions. The collected information set is provided as input. As output, the server generates a three-dimensional model. The server then runs the AI ​​model to precisely recreate past environments.

[0156] Step 4:

[0157] The server acquires the user's facial expressions and voice data through the camera and microphone connected to the terminal. Real-time facial expressions and voice are collected as input. As output, the server formats this data into a dataset for passing to the AI ​​algorithm. The server collects data instantly and processes it to minimize time lag.

[0158] Step 5:

[0159] The server utilizes an emotion engine and an AI algorithm to analyze and evaluate the user's emotions. Processed facial expressions and audio data are provided as input. An evaluation value representing the user's emotional state is generated as output. The server performs real-time analysis and instantly determines the user's emotions.

[0160] Step 6:

[0161] The server dynamically adjusts elements within the virtual environment according to the evaluated emotional state. The evaluated emotional state is used as input. As output, the server generates and provides the user with an adjusted virtual environment. The server changes background sounds and lighting, adjusting the environment to match the user's emotions.

[0162] Step 7:

[0163] The user experiences a calibrated virtual reality through VR goggles. As input, the user is provided with a calibrated virtual environment. As output, the user experiences an immersive recreation of a past cityscape. The user experiences a deeper sense of immersion through calibrated visual and auditory effects.

[0164] (Application Example 2)

[0165] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0166] In history education, for learners to deeply understand a particular era or geographical location, it is crucial to go beyond simply providing informational knowledge and instead foster emotional understanding through experience. However, traditional teaching methods have problems in that it is difficult to visually recreate past situations, and there is a lack of technology to dynamically adjust learning content based on learners' emotions.

[0167] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0168] In this invention, the server includes means for collecting electronic data related to a specific historical period and geographical location, means for analyzing the electronic data and generating a three-dimensional model of a historical cityscape, and means for recognizing the user's emotional state and dynamically adjusting elements within the virtual reality environment. This enables a deeper understanding of history not only through visual experiences but also through emotional experiences.

[0169] "Electronic data" refers to various types of information related to a specific historical period and geographical location, and includes digital information such as image data and bibliographic information.

[0170] A "3D model" is a three-dimensional virtual structure created by analyzing collected electronic data to recreate past cityscapes and buildings.

[0171] A "virtual reality environment" is a digital space built on a generated 3D model that users can immerse themselves in and experience.

[0172] "User's device" refers to a device used to receive and display the virtual reality environment, such as smart glasses or head-mounted displays.

[0173] "Means for recognizing emotional states" refers to technology that analyzes emotions from the user's facial expressions and voice data, and is a function that makes real-time judgments using AI algorithms.

[0174] "Means for dynamically adjusting elements" refers to functions that change the sound and visual effects within the virtual reality environment according to the user's emotional state.

[0175] The system for carrying out this invention includes the following components: The server first collects electronic data related to a specific historical period and geographical location selected by the user from the internet and various databases. The electronic data includes image data and bibliographic information. This collects information that meets the user's requirements.

[0176] Next, the server analyzes the collected electronic data and uses a generative AI model to generate a 3D model of the cityscape from the past. This 3D model is generated through software such as Unity and forms the basis of the virtual reality environment. The virtual reality environment is a digital space built on the generated 3D model that users can immerse themselves in.

[0177] Furthermore, the server uses an emotion recognition API (for example, Microsoft® Azure® Emotion API) to analyze the user's facial expressions and voice data acquired through the camera and microphone connected to the device, recognizing the user's emotional state in real time. Based on this, the server dynamically adjusts elements within the virtual reality environment. Specifically, it modifies sound and visual effects to provide an appropriate experience tailored to the user's emotions.

[0178] For example, there's a feature that recreates Paris in the past in a virtual environment, and if the user is surprised, it provides a detailed explanation of that scene.

[0179] An example of a prompt message is: "In 18th-century Paris, recreate in detail the crowds and bustling cafes of the Revolution, matching the user's expression of surprise."

[0180] In this way, the system creates a virtual reality space in the field of education that enables deeper learning through emotional experiences, not just visual information.

[0181] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0182] Step 1:

[0183] The server receives requests from users and collects electronic data based on the selected historical period and geographical location. Using this request as input, the server searches the internet and various databases to retrieve image data and bibliographic information. The retrieved data is then saved as output.

[0184] Step 2:

[0185] The server analyzes the collected electronic data and generates a 3D model using a generated AI model. The input is the electronic data saved in step 1. The data is processed by an AI algorithm and outputs a 3D model that recreates the past cityscape in three dimensions.

[0186] Step 3:

[0187] The server constructs a virtual reality environment based on the generated 3D model. The input is the 3D model from step 2. Using this model, a virtual reality space incorporating visual and acoustic elements is created and output using tools such as Unity.

[0188] Step 4:

[0189] The device displays a virtual reality environment provided by the server to the user. The input is the virtual reality environment received from the server. Using the device's display or smart glasses, it deploys this environment around the user, providing an immersive experience as output.

[0190] Step 5:

[0191] The server acquires user facial and voice data through the camera and microphone connected to the terminal and recognizes the user's emotional state. The input is this real-time data. The data is analyzed through an emotion recognition API, and the user's emotional state is evaluated as output.

[0192] Step 6:

[0193] The server dynamically adjusts elements within the virtual reality environment based on the recognized user's emotional state. The input is the emotional state from step 5. Sound and visual effects are adjusted to make appropriate changes according to the user's experience. The output is the updated virtual reality environment.

[0194] Step 7:

[0195] Users gain a deeper historical experience through a virtual reality environment that is tailored to their emotions, thereby maximizing its educational value.

[0196] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0197] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0198] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0199] [Second Embodiment]

[0200] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0201] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0202] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0203] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0204] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0205] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0206] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0207] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0208] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0209] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0210] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0211] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0212] This invention is a system for recreating a cityscape associated with a specified historical period and geographical location within a virtual reality space. The following describes an embodiment of this system.

[0213] The terminal operated by the user first has an interface that allows the user to specify a particular time period and location in the past. Using this interface, the user inputs a specific time period and location, such as "Tokyo in 1920." The terminal then sends this information to the server.

[0214] The server collects electronic data related to a specified year and location from the internet and databases. This includes photographs, paintings, maps, and historical documents. The server analyzes this data and uses specific algorithms to generate a 3D model by applying a generative AI model. This generation process adjusts the shapes of buildings and the structure of the cityscape, aiming to provide the most accurate replica possible.

[0215] Next, the server constructs a virtual reality environment based on the generated 3D model. This environment includes a virtual cityscape rendered in real time, and an interface is created that allows the user to freely explore it. The server sends this virtual reality content to the terminal, which displays it to the user via VR goggles.

[0216] Users can wear VR goggles and actually explore a recreated city from the past. For example, if they choose Tokyo in 1920, they can walk around the main streets of that era and visually experience the culture and lifestyle of the time. This experience allows users to vividly feel the past and provides an opportunity to deepen their understanding of history.

[0217] This system allows users to visit various historical periods according to their individual interests and virtually experience historical sites. Through this, it is hoped that historical exploration will become a new learning opportunity that cannot be obtained through conventional methods, and will be utilized by many people.

[0218] The following describes the processing flow.

[0219] Step 1:

[0220] The user uses a terminal to input the desired time period and location into the interface. For example, the user might specify "London in 1920" and confirm the request based on that.

[0221] Step 2:

[0222] The device sends a request to the server containing information about the time period and location specified by the user. The request to the server includes specific year and coordinate information.

[0223] Step 3:

[0224] Based on the requests it receives, the server collects electronic data related to the city's past from the internet and databases. This data includes photographs, paintings, maps, and historical documents depicting the city's appearance at the time.

[0225] Step 4:

[0226] The server analyzes the collected data and generates a 3D model of past cityscapes using a generative AI model. The AI ​​model utilizes accumulated learning patterns to estimate building structures and city layouts.

[0227] Step 5:

[0228] The server constructs a virtual reality environment based on the generated 3D model. Specifically, it applies lighting and textures to the model, creating a virtual space that can be freely explored.

[0229] Step 6:

[0230] The server converts this virtual reality environment into a viewable data format, compresses it, and prepares it for streaming as needed. It then transfers the processed content to the terminal.

[0231] Step 7:

[0232] The device decompresses the received virtual reality environment and establishes a connection with the VR goggles. The user then puts on the goggles and can visually experience the recreated cityscape from the past.

[0233] Step 8:

[0234] Users can freely roam a virtual reality space and explore past eras. During this time, users can shift their viewpoint and perform various interactions.

[0235] (Example 1)

[0236] Next, we will describe Example 1. 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."

[0237] The problem this invention aims to solve is the difficulty in accurately recreating the streetscapes of specific historical periods and geographical locations. Conventional methods require considerable effort and time to collect and analyze historical data, and constructing accurate three-dimensional models is not easy. As a result, users have had limited opportunities to visually experience past cultures and lifestyles.

[0238] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0239] In this invention, the server includes means for collecting information related to a specific historical period and geographical location, means for analyzing the information and generating a three-dimensional structure of a historical cityscape using artificial intelligence technology, and means for constructing a virtual reality space for displaying the three-dimensional structure. This makes it possible for users to experience historical cityscapes with higher accuracy, more easily and quickly than before.

[0240] "Information" refers to all data related to a specific historical period and geographical location, including visual data and documentary information.

[0241] "Artificial intelligence technology" refers to technologies that use machine learning techniques and other algorithms to analyze data and generate models.

[0242] "Three-dimensional structure" refers to a model that recreates past cityscapes in three dimensions, and includes structures that are visually and spatially represented.

[0243] "Virtual reality space" refers to a computer-generated three-dimensional environment that a user can virtually experience, and includes environments capable of displaying three-dimensional structures.

[0244] "Device" refers to a device that allows users to visually experience a virtual reality space.

[0245] This system allows users to experience historical periods and geographical locations in a virtual reality space. Users first select a historical period and place of interest through the terminal's interface. For example, they might enter "Tokyo in 1920."

[0246] This information is sent to a server, which collects information about past eras and locations from the internet and databases. The server analyzes this information and uses artificial intelligence technology to generate a three-dimensional model of the past cityscape. Specifically, it uses machine learning techniques to recreate the three-dimensional cityscape from the collected data. This generation process employs algorithms that use, for example, computer vision technology.

[0247] The server then constructs a virtual reality space based on the generated 3D structure. This virtual reality space is developed using software such as Unity. The constructed virtual space is then sent directly to the user's terminal.

[0248] The device provides this virtual reality space to the user via VR goggles, allowing the user to freely explore it. For example, a prompt such as, "Generate a 3D model of Tokyo's streets in the 1920s. This model should include historical buildings and the general atmosphere of the streets at that time," is passed to a generation AI model to create a concrete three-dimensional structure.

[0249] This embodiment allows users to visually and experientially recreate past cityscapes, enabling them to learn history in a new way.

[0250] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0251] Step 1:

[0252] The user inputs historical periods and geographical locations of interest through the terminal's interface. The input data includes specific information about the time period and location, such as "Tokyo in 1920." This information is then transmitted from the terminal to the server.

[0253] Step 2:

[0254] The server receives information about the time period and location specified by the user. Based on the entered information, the server accesses the internet and specific databases to collect relevant information such as photographs, maps, and documents. This results in the necessary set of electronic data.

[0255] Step 3:

[0256] The server analyzes the collected information and uses a generative AI model to create a prompt. This prompt is "Generate a 3D model of Tokyo's streetscape in the 1920s." The server inputs this prompt into the generative AI model and generates three-dimensional structural data to recreate the streetscape of the past in three dimensions.

[0257] Step 4:

[0258] Using the generated 3D structure data, the server constructs a virtual reality space. This process uses software like Unity to create a three-dimensional space that is rendered in real time. The virtual reality space is designed for users to virtually explore.

[0259] Step 5:

[0260] The server sends the constructed virtual reality data to the terminal. The terminal receives this data and displays it to the user using VR goggles. The user walks around in the virtual reality space and has the opportunity to directly experience history by experiencing the cityscape of the past.

[0261] (Application Example 1)

[0262] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0263] There is a growing demand for realistic experiences of specific historical periods and places. However, it is difficult to recreate the detailed streetscapes and culture of those eras using only existing information, and there is a need to provide accurate and immersive experiences based on historical facts.

[0264] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0265] In this invention, the server includes means for collecting digital information related to a specific historical period and geographical location, means for analyzing the digital information and generating a three-dimensional model of a historical urban landscape, and means for constructing a virtual reality space for displaying the three-dimensional model. This allows users to freely explore a real-time virtual experience of a specified period and location through a smartphone or visual device.

[0266] "Digital information related to a specific historical period and geographical location" refers to visual and textual information about streetscapes and events in a particular period and place, obtained from historical databases and online resources.

[0267] "Analyzing digital information" is the process of creating accurate three-dimensional models of cityscapes and structures from a given era, using collected digital data and generative AI models and algorithms.

[0268] "Generating a three-dimensional model of past urban landscapes" is a method of constructing real-world streetscapes and buildings using three-dimensional computer graphics based on analyzed digital information.

[0269] "Constructing a virtual reality space" refers to creating a virtual environment that users can explore visually and interactively using a generated three-dimensional model.

[0270] "Providing an interface" means providing users with the means to access a virtual reality space through a smartphone or visual device and to navigate that environment.

[0271] "Applying generative AI models using prompt statements" is a technique that involves providing input to a generative AI model via prompt statements to obtain appropriate output when generating 3D models or simulations based on specific historical information.

[0272] The system implementing this invention begins by having a server collect digital information associated with a specific historical period and geographical location. The server retrieves visual and textual data from the internet and online databases. Next, it uses a generative AI model to analyze this digital information. This analysis process includes specific algorithms for creating a three-dimensional model of historical urban landscapes.

[0273] The server constructs a virtual reality space using the generated 3D model. This virtual reality space is rendered in real time using software such as Unity or Unreal Engine. The server then provides this virtual reality space to the user's device. Users can access and explore this virtual environment through smartphones or visual devices (e.g., Oculus Quest 2).

[0274] For example, if a user specifies that they want to experience "Paris in 1920," the server collects and analyzes relevant information about that era and region, and constructs a virtual reality space. The user can then use visual devices to explore the streets of Paris in 1920 in detail. This system uses prompts to obtain specific outputs from the AI ​​model. For example, a possible prompt might be, "Please generate a 3D model that recreates the streets of Paris in 1920. I would especially like a detailed depiction including buildings and streets around the Louvre Museum." In this way, the user can obtain a historical and detailed virtual experience.

[0275] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0276] Step 1:

[0277] The user uses their device to specify a particular historical year and geographical location. The system receives data as input, such as "Paris in 1920," via the user interface and sends it to the server. The output is the specified year and location information.

[0278] Step 2:

[0279] The server collects relevant digital information based on the specified information it receives. Specifically, it searches the internet and databases to retrieve the corresponding visual and textual data. The input for this step is the specified date and location information, and the output is a set of related digital information.

[0280] Step 3:

[0281] The server analyzes the collected digital information and applies a generative AI model to generate a concrete three-dimensional model. In this process, it considers data on structures and cityscapes, and uses prompts to instruct the AI ​​to draw specific three-dimensional structures. The input consists of visual data and text information, and the output is a concrete three-dimensional model.

[0282] Step 4:

[0283] Based on the generated three-dimensional model, the server constructs a virtual reality space. Using Unity or Unreal Engine, a virtual space accessible to users in real time is constructed. The input for this step is the three-dimensional model, and the output is the virtual reality environment itself.

[0284] Step 5:

[0285] The server transmits the constructed virtual reality environment to the terminal and provides it to the user. The user wears a visual device and can immerse themselves in the virtual environment. The input is the data of the virtual reality environment, and the output is the immersive virtual exploration experience as the user's experience.

[0286] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion recognition model 59 and perform specific processing using the user's emotion.

[0287] The present invention provides a more immersive experience by combining an emotion engine that recognizes the user's emotion in a system that reproduces a specific past era and geographical location in a virtual reality space. This system is composed of the following elements.

[0288] First, the user uses the terminal to specify a specific era and location. For example, conditions such as "Paris in the 18th century" are input through the interface and a request is sent to the server. The server collects relevant electronic data from the Internet and various databases based on this information. This electronic data includes old photos, maps, historical record documents, etc.

[0289] Next, the server analyzes the collected data and generates a three-dimensional model using the generated AI model. The model reproduces past buildings and streets in detail and provides an accurate replica. The model generated here becomes the basic element of the virtual reality environment.

[0290] Subsequently, the server activates the emotion engine and begins recognizing the user's emotional state. This emotion engine acquires the user's facial expression and voice data through the camera and microphone connected to the device. An AI algorithm analyzes this data and evaluates the user's emotions in real time.

[0291] Depending on the user's emotional state, the server dynamically adjusts elements within the virtual reality environment. For example, if the user makes a surprised expression, the system changes background sounds and lighting effects to make the experience more realistic and immersive. This allows the user to react intuitively to the environment and achieve a deep sense of immersion.

[0292] Users experience this tuned virtual reality environment through VR goggles, exploring the city of the past. Because the environment changes based on the user's emotions, it goes beyond mere visual recreation, creating a historical exploration that also involves emotional experiences.

[0293] Thus, by utilizing emotion recognition technology, this invention provides an interactive experience that responds to user reactions, enabling users to enjoy the past from a new perspective. This system has potential applications in various fields such as education and tourism, and is therefore expected to have a wide range of uses.

[0294] The following describes the processing flow.

[0295] Step 1:

[0296] The user uses the device's interface to enter a specific time period and location. For example, they might set it to "New York in 1920" and submit the request.

[0297] Step 2:

[0298] The device sends the user's request to the server. The request includes information about a specific year and geographical location.

[0299] Step 3:

[0300] The server collects electronic data related to the specified time and location. It searches for photos, documents, maps, etc. from the Internet and various databases and imports the necessary data.

[0301] Step 4:

[0302] The server analyzes the collected electronic data and generates a 3D model using a generated AI model. The AI reproduces the layout of buildings and streets based on the data and constructs the entire space three-dimensionally.

[0303] Step 5:

[0304] The server creates a virtual reality environment based on the 3D model. This environment includes not only visual elements but also acoustic effects and lighting effects.

[0305] Step 6:

[0306] The server activates the emotion engine and prepares to recognize the user's emotions in real time. It collects the user's facial expression data and voice data from the terminal's camera and microphone.

[0307] Step 7:

[0308] The emotion engine analyzes the user's emotional state and sends that information to the server. For example, if the user shows a surprised emotion, this emotion data is transmitted to the server.

[0309] Step 8:

[0310] The server adjusts the virtual reality environment based on the user's emotional state. For example, for surprise, it emphasizes the background sound or changes the lighting of the environment.

[0311] Step 9:

[0312] The device displays a calibrated virtual reality environment to the user through VR goggles. Users can explore past eras in an interactive environment that changes according to their emotions.

[0313] (Example 2)

[0314] Next, we will describe Example 2. 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".

[0315] Conventional virtual reality systems have focused solely on the visual aspects when recreating past eras and locations, making it difficult to provide an experience that takes into account the user's emotions and reactions. As a result, they have not been able to achieve a deeper sense of immersion, and there is a need for methods to enrich the user experience.

[0316] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0317] In this invention, the server includes means for collecting information related to a specific time and place in the past, means for analyzing the information and generating a model that three-dimensionally reproduces the past, and means for recognizing the user's emotions and dynamically adjusting elements within the virtual environment. This enables an interactive and immersive virtual reality experience that responds to the user's emotions.

[0318] "Information" refers to data relating to a specific time period or geographical location, and includes both visual and textual information.

[0319] A "three-dimensional model" is a structure that reproduces past conditions in three dimensions, serving as a foundation for visually providing users with a past environment.

[0320] An "automated learning algorithm" is a computational method for generating models and optimizing systems based on data analysis, and it efficiently constructs three-dimensional models based on past data.

[0321] A "virtual environment" is a digital space designed to provide users with a virtual reality experience, enabling an immersive experience through the use of visual information.

[0322] "Means for recognizing the user's emotions" refers to technologies that analyze the user's facial expressions and voice to determine their current emotional state, and serve as the foundation for dynamically adapting the virtual environment.

[0323] In implementing the invention, this system mainly consists of three elements: a server, a terminal, and a user.

[0324] First, the user uses the terminal to specify the historical period and geographical location they wish to experience. When the user enters a prompt, such as "18th-century Paris," the terminal sends this request information to the server. In this process, the terminal acts as an interface, relaying the specific request to the server.

[0325] The server collects relevant information from the internet and dedicated databases based on the information it receives. This information includes visual information and literature information. The server then analyzes this information and uses a generative AI model to generate a model that reconstructs past events in three dimensions. The AI ​​model used needs to have the ability to efficiently analyze large amounts of data and construct a three-dimensional structure.

[0326] In addition, the server activates an engine to recognize the user's emotions and evaluates their emotional state in real time. During this process, the device uses its camera and microphone to collect data on facial expressions and voice. By analyzing this data using an AI algorithm, the user's emotions can be determined.

[0327] For example, if a user selects "17th-century London," the server analyzes relevant historical data and recreates the cityscape. If the server detects the user's surprise, it adjusts the background sounds and lighting effects to enhance them. This adjustment allows for a more realistic and immersive experience for the user.

[0328] Thus, this invention provides an interactive experience that changes the virtual environment in response to the user's emotions, thereby deepening their understanding of past events and places. This system is expected to be used in a wide range of fields, including education and tourism.

[0329] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0330] Step 1:

[0331] The user uses a terminal to specify the era and location they want to experience. As input, the user enters a prompt, such as "18th-century Paris." The terminal sends this request to the server. As output, the terminal generates formatted data containing the user's specifications.

[0332] Step 2:

[0333] Based on the specifications received from the user, the server collects relevant information from the internet and databases. Prompt statements are sent to the server as input. As output, the server generates an information set including historical photographs, maps, and bibliographic information. The server uses an efficient search algorithm to collect large amounts of information in a short time.

[0334] Step 3:

[0335] The server analyzes the collected information and applies a generative AI model to generate a model that recreates past events in three dimensions. The collected information set is provided as input. As output, the server generates a three-dimensional model. The server then runs the AI ​​model to precisely recreate past environments.

[0336] Step 4:

[0337] The server acquires the user's facial expressions and voice data through the camera and microphone connected to the terminal. Real-time facial expressions and voice are collected as input. As output, the server formats this data into a dataset for passing to the AI ​​algorithm. The server collects data instantly and processes it to minimize time lag.

[0338] Step 5:

[0339] The server utilizes an emotion engine and an AI algorithm to analyze and evaluate the user's emotions. Processed facial expressions and audio data are provided as input. An evaluation value representing the user's emotional state is generated as output. The server performs real-time analysis and instantly determines the user's emotions.

[0340] Step 6:

[0341] The server dynamically adjusts elements within the virtual environment according to the evaluated emotional state. The evaluated emotional state is used as input. As output, the server generates and provides the user with an adjusted virtual environment. The server changes background sounds and lighting, adjusting the environment to match the user's emotions.

[0342] Step 7:

[0343] The user experiences a calibrated virtual reality through VR goggles. As input, the user is provided with a calibrated virtual environment. As output, the user experiences an immersive recreation of a past cityscape. The user experiences a deeper sense of immersion through calibrated visual and auditory effects.

[0344] (Application Example 2)

[0345] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0346] In history education, for learners to deeply understand a particular era or geographical location, it is crucial to go beyond simply providing informational knowledge and instead foster emotional understanding through experience. However, traditional teaching methods have problems in that it is difficult to visually recreate past situations, and there is a lack of technology to dynamically adjust learning content based on learners' emotions.

[0347] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0348] In this invention, the server includes means for collecting electronic data related to a specific historical period and geographical location, means for analyzing the electronic data and generating a three-dimensional model of a historical cityscape, and means for recognizing the user's emotional state and dynamically adjusting elements within the virtual reality environment. This enables a deeper understanding of history not only through visual experiences but also through emotional experiences.

[0349] "Electronic data" refers to various types of information related to a specific historical period and geographical location, and includes digital information such as image data and bibliographic information.

[0350] A "3D model" is a three-dimensional virtual structure created by analyzing collected electronic data to recreate past cityscapes and buildings.

[0351] A "virtual reality environment" is a digital space built on a generated 3D model that users can immerse themselves in and experience.

[0352] "User's device" refers to a device used to receive and display the virtual reality environment, such as smart glasses or head-mounted displays.

[0353] "Means for recognizing emotional states" refers to technology that analyzes emotions from the user's facial expressions and voice data, and is a function that makes real-time judgments using AI algorithms.

[0354] "Means for dynamically adjusting elements" refers to functions that change the sound and visual effects within the virtual reality environment according to the user's emotional state.

[0355] The system for carrying out this invention includes the following components: The server first collects electronic data related to a specific historical period and geographical location selected by the user from the internet and various databases. The electronic data includes image data and bibliographic information. This collects information that meets the user's requirements.

[0356] Next, the server analyzes the collected electronic data and uses a generative AI model to generate a 3D model of the cityscape from the past. This 3D model is generated through software such as Unity and forms the basis of the virtual reality environment. The virtual reality environment is a digital space built on the generated 3D model that users can immerse themselves in.

[0357] Furthermore, the server uses an emotion recognition API (such as Microsoft Azure Emotion API) to analyze the user's facial expressions and voice data acquired through the camera and microphone connected to the device, recognizing the user's emotional state in real time. Based on this, the server dynamically adjusts elements within the virtual reality environment. Specifically, it modifies sound and visual effects to provide an appropriate experience tailored to the user's emotions.

[0358] For example, there's a feature that recreates Paris in the past in a virtual environment, and if the user is surprised, it provides a detailed explanation of that scene.

[0359] An example of a prompt message is: "In 18th-century Paris, recreate in detail the crowds and bustling cafes of the Revolution, matching the user's expression of surprise."

[0360] In this way, the system creates a virtual reality space in the field of education that enables deeper learning through emotional experiences, not just visual information.

[0361] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0362] Step 1:

[0363] The server receives requests from users and collects electronic data based on the selected historical period and geographical location. Using this request as input, the server searches the internet and various databases to retrieve image data and bibliographic information. The retrieved data is then saved as output.

[0364] Step 2:

[0365] The server analyzes the collected electronic data and generates a 3D model using a generated AI model. The input is the electronic data saved in step 1. The data is processed by an AI algorithm and outputs a 3D model that recreates the past cityscape in three dimensions.

[0366] Step 3:

[0367] The server constructs a virtual reality environment based on the generated 3D model. The input is the 3D model from step 2. Using this model, a virtual reality space incorporating visual and acoustic elements is created and output using tools such as Unity.

[0368] Step 4:

[0369] The device displays a virtual reality environment provided by the server to the user. The input is the virtual reality environment received from the server. Using the device's display or smart glasses, it deploys this environment around the user, providing an immersive experience as output.

[0370] Step 5:

[0371] The server acquires user facial and voice data through the camera and microphone connected to the terminal and recognizes the user's emotional state. The input is this real-time data. The data is analyzed through an emotion recognition API, and the user's emotional state is evaluated as output.

[0372] Step 6:

[0373] The server dynamically adjusts elements within the virtual reality environment based on the recognized user's emotional state. The input is the emotional state from step 5. Sound and visual effects are adjusted to make appropriate changes according to the user's experience. The output is the updated virtual reality environment.

[0374] Step 7:

[0375] Users gain a deeper historical experience through a virtual reality environment that is tailored to their emotions, thereby maximizing its educational value.

[0376] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0377] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0378] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0379] [Third Embodiment]

[0380] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0381] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0382] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0383] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0384] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0385] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0386] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0387] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0388] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0389] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0390] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0391] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0392] This invention is a system for recreating a cityscape associated with a specified historical period and geographical location within a virtual reality space. The following describes an embodiment of this system.

[0393] The terminal operated by the user first has an interface that allows the user to specify a particular time period and location in the past. Using this interface, the user inputs a specific time period and location, such as "Tokyo in 1920." The terminal then sends this information to the server.

[0394] The server collects electronic data related to a specified year and location from the internet and databases. This includes photographs, paintings, maps, and historical documents. The server analyzes this data and uses specific algorithms to generate a 3D model by applying a generative AI model. This generation process adjusts the shapes of buildings and the structure of the cityscape, aiming to provide the most accurate replica possible.

[0395] Next, the server constructs a virtual reality environment based on the generated 3D model. This environment includes a virtual cityscape rendered in real time, and an interface is created that allows the user to freely explore it. The server sends this virtual reality content to the terminal, which displays it to the user via VR goggles.

[0396] Users can wear VR goggles and actually explore a recreated city from the past. For example, if they choose Tokyo in 1920, they can walk around the main streets of that era and visually experience the culture and lifestyle of the time. This experience allows users to vividly feel the past and provides an opportunity to deepen their understanding of history.

[0397] This system allows users to visit various historical periods according to their individual interests and virtually experience historical sites. Through this, it is hoped that historical exploration will become a new learning opportunity that cannot be obtained through conventional methods, and will be utilized by many people.

[0398] The following describes the processing flow.

[0399] Step 1:

[0400] The user uses a terminal to input the desired time period and location into the interface. For example, the user might specify "London in 1920" and confirm the request based on that.

[0401] Step 2:

[0402] The device sends a request to the server containing information about the time period and location specified by the user. The request to the server includes specific year and coordinate information.

[0403] Step 3:

[0404] Based on the requests it receives, the server collects electronic data related to the city's past from the internet and databases. This data includes photographs, paintings, maps, and historical documents depicting the city's appearance at the time.

[0405] Step 4:

[0406] The server analyzes the collected data and generates a 3D model of past cityscapes using a generative AI model. The AI ​​model utilizes accumulated learning patterns to estimate building structures and city layouts.

[0407] Step 5:

[0408] The server constructs a virtual reality environment based on the generated 3D model. Specifically, it applies lighting and textures to the model, creating a virtual space that can be freely explored.

[0409] Step 6:

[0410] The server converts this virtual reality environment into a viewable data format, compresses it, and prepares it for streaming as needed. It then transfers the processed content to the terminal.

[0411] Step 7:

[0412] The device decompresses the received virtual reality environment and establishes a connection with the VR goggles. The user then puts on the goggles and can visually experience the recreated cityscape from the past.

[0413] Step 8:

[0414] Users can freely roam a virtual reality space and explore past eras. During this time, users can shift their viewpoint and perform various interactions.

[0415] (Example 1)

[0416] Next, we will describe Example 1. 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."

[0417] The problem this invention aims to solve is the difficulty in accurately recreating the streetscapes of specific historical periods and geographical locations. Conventional methods require considerable effort and time to collect and analyze historical data, and constructing accurate three-dimensional models is not easy. As a result, users have had limited opportunities to visually experience past cultures and lifestyles.

[0418] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0419] In this invention, the server includes means for collecting information related to a specific historical period and geographical location, means for analyzing the information and generating a three-dimensional structure of a historical cityscape using artificial intelligence technology, and means for constructing a virtual reality space for displaying the three-dimensional structure. This makes it possible for users to experience historical cityscapes with higher accuracy, more easily and quickly than before.

[0420] "Information" refers to all data related to a specific historical period and geographical location, including visual data and documentary information.

[0421] "Artificial intelligence technology" refers to technologies that use machine learning techniques and other algorithms to analyze data and generate models.

[0422] "Three-dimensional structure" refers to a model that recreates past cityscapes in three dimensions, and includes structures that are visually and spatially represented.

[0423] "Virtual reality space" refers to a computer-generated three-dimensional environment that a user can virtually experience, and includes environments capable of displaying three-dimensional structures.

[0424] "Device" refers to a device that allows users to visually experience a virtual reality space.

[0425] This system allows users to experience historical periods and geographical locations in a virtual reality space. Users first select a historical period and place of interest through the terminal's interface. For example, they might enter "Tokyo in 1920."

[0426] This information is sent to a server, which collects information about past eras and locations from the internet and databases. The server analyzes this information and uses artificial intelligence technology to generate a three-dimensional model of the past cityscape. Specifically, it uses machine learning techniques to recreate the three-dimensional cityscape from the collected data. This generation process employs algorithms that use, for example, computer vision technology.

[0427] The server then constructs a virtual reality space based on the generated 3D structure. This virtual reality space is developed using software such as Unity. The constructed virtual space is then sent directly to the user's terminal.

[0428] The device provides this virtual reality space to the user via VR goggles, allowing the user to freely explore it. For example, a prompt such as, "Generate a 3D model of Tokyo's streets in the 1920s. This model should include historical buildings and the general atmosphere of the streets at that time," is passed to a generation AI model to create a concrete three-dimensional structure.

[0429] This embodiment allows users to visually and experientially recreate past cityscapes, enabling them to learn history in a new way.

[0430] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0431] Step 1:

[0432] The user inputs historical periods and geographical locations of interest through the terminal's interface. The input data includes specific information about the time period and location, such as "Tokyo in 1920." This information is then transmitted from the terminal to the server.

[0433] Step 2:

[0434] The server receives information about the time period and location specified by the user. Based on the entered information, the server accesses the internet and specific databases to collect relevant information such as photographs, maps, and documents. This results in the necessary set of electronic data.

[0435] Step 3:

[0436] The server analyzes the collected information and uses a generative AI model to create a prompt. This prompt is "Generate a 3D model of Tokyo's streetscape in the 1920s." The server inputs this prompt into the generative AI model and generates three-dimensional structural data to recreate the streetscape of the past in three dimensions.

[0437] Step 4:

[0438] Using the generated 3D structure data, the server constructs a virtual reality space. This process uses software like Unity to create a three-dimensional space that is rendered in real time. The virtual reality space is designed for users to virtually explore.

[0439] Step 5:

[0440] The server sends the constructed virtual reality data to the terminal. The terminal receives this data and displays it to the user using VR goggles. The user walks around in the virtual reality space and has the opportunity to directly experience history by experiencing the cityscape of the past.

[0441] (Application Example 1)

[0442] Next, we will explain Application Example 1. In the following explanation, 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."

[0443] There is a growing demand for realistic experiences of specific historical periods and places. However, it is difficult to recreate the detailed streetscapes and culture of those eras using only existing information, and there is a need to provide accurate and immersive experiences based on historical facts.

[0444] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0445] In this invention, the server includes means for collecting digital information related to a specific historical period and geographical location, means for analyzing the digital information and generating a three-dimensional model of a historical urban landscape, and means for constructing a virtual reality space for displaying the three-dimensional model. This allows users to freely explore a real-time virtual experience of a specified period and location through a smartphone or visual device.

[0446] "Digital information related to a specific historical period and geographical location" refers to visual and textual information about streetscapes and events in a particular period and place, obtained from historical databases and online resources.

[0447] "Analyzing digital information" is the process of creating accurate three-dimensional models of cityscapes and structures from a given era, using collected digital data and generative AI models and algorithms.

[0448] "Generating a three-dimensional model of past urban landscapes" is a method of constructing real-world streetscapes and buildings using three-dimensional computer graphics based on analyzed digital information.

[0449] "Constructing a virtual reality space" refers to creating a virtual environment that users can explore visually and interactively using a generated three-dimensional model.

[0450] "Providing an interface" means providing users with the means to access a virtual reality space through a smartphone or visual device and to navigate that environment.

[0451] "Applying generative AI models using prompt statements" is a technique that involves providing input to a generative AI model via prompt statements to obtain appropriate output when generating 3D models or simulations based on specific historical information.

[0452] The system implementing this invention begins by having a server collect digital information associated with a specific historical period and geographical location. The server retrieves visual and textual data from the internet and online databases. Next, it uses a generative AI model to analyze this digital information. This analysis process includes specific algorithms for creating a three-dimensional model of historical urban landscapes.

[0453] The server constructs a virtual reality space using the generated 3D model. This virtual reality space is rendered in real time using software such as Unity or Unreal Engine. The server then provides this virtual reality space to the user's device. Users can access and explore this virtual environment through smartphones or visual devices (e.g., Oculus Quest 2).

[0454] For example, if a user specifies that they want to experience "Paris in 1920," the server collects and analyzes relevant information about that era and region, and constructs a virtual reality space. The user can then use visual devices to explore the streets of Paris in 1920 in detail. This system uses prompts to obtain specific outputs from the AI ​​model. For example, a possible prompt might be, "Please generate a 3D model that recreates the streets of Paris in 1920. I would especially like a detailed depiction including buildings and streets around the Louvre Museum." In this way, the user can obtain a historical and detailed virtual experience.

[0455] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0456] Step 1:

[0457] The user uses their device to specify a particular historical year and geographical location. The system receives data as input, such as "Paris in 1920," via the user interface and sends it to the server. The output is the specified year and location information.

[0458] Step 2:

[0459] The server collects relevant digital information based on the specified information it receives. Specifically, it searches the internet and databases to retrieve the corresponding visual and textual data. The input for this step is the specified date and location information, and the output is a set of related digital information.

[0460] Step 3:

[0461] The server analyzes the collected digital information and applies a generative AI model to generate a concrete three-dimensional model. In this process, it considers data on structures and cityscapes, and uses prompts to instruct the AI ​​to draw specific three-dimensional structures. The input consists of visual data and text information, and the output is a concrete three-dimensional model.

[0462] Step 4:

[0463] The server constructs a virtual reality space based on the generated 3D model. Using Unity or Unreal Engine, it builds a virtual space that users can access in real time. The input for this step is the 3D model, and the output is the virtual reality environment itself.

[0464] Step 5:

[0465] The server transmits the constructed virtual reality environment to the terminal and provides it to the user. The user wears a visual device and becomes immersed in the virtual environment. The input is data from the virtual reality environment, and the output is an immersive virtual exploration experience as the user's experience.

[0466] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0467] This invention provides a more immersive experience by combining a system that recreates a specific historical period and geographical location in a virtual reality space with an emotion engine that recognizes the user's emotions. This system consists of the following elements:

[0468] First, the user uses their device to specify a particular time period and location. For example, they might enter conditions such as "18th-century Paris" into the interface and send a request to the server. The server then uses this information to collect relevant electronic data from the internet and various databases. This electronic data includes old photographs, maps, and historical records.

[0469] Next, the server analyzes the collected data and generates a 3D model using a generative AI model. The model meticulously recreates past buildings and streets, providing an accurate replica. The model generated here forms the basic elements of the virtual reality environment.

[0470] Subsequently, the server activates the emotion engine and begins recognizing the user's emotional state. This emotion engine acquires the user's facial expression and voice data through the camera and microphone connected to the device. An AI algorithm analyzes this data and evaluates the user's emotions in real time.

[0471] Depending on the user's emotional state, the server dynamically adjusts elements within the virtual reality environment. For example, if the user makes a surprised expression, the system changes background sounds and lighting effects to make the experience more realistic and immersive. This allows the user to react intuitively to the environment and achieve a deep sense of immersion.

[0472] Users experience this tuned virtual reality environment through VR goggles, exploring the city of the past. Because the environment changes based on the user's emotions, it goes beyond mere visual recreation, creating a historical exploration that also involves emotional experiences.

[0473] Thus, by utilizing emotion recognition technology, this invention provides an interactive experience that responds to user reactions, enabling users to enjoy the past from a new perspective. This system has potential applications in various fields such as education and tourism, and is therefore expected to have a wide range of uses.

[0474] The following describes the processing flow.

[0475] Step 1:

[0476] The user uses the device's interface to enter a specific time period and location. For example, they might set it to "New York in 1920" and submit the request.

[0477] Step 2:

[0478] The device sends the user's request to the server. The request includes information about a specific year and geographical location.

[0479] Step 3:

[0480] The server collects electronic data related to a specified time period and location. It searches the internet and various databases for photographs, documents, maps, etc., and retrieves the necessary data.

[0481] Step 4:

[0482] The server analyzes the collected electronic data and generates a 3D model using a generated AI model. Based on the data, the AI ​​recreates the layout of buildings and cities, constructing the entire space in three dimensions.

[0483] Step 5:

[0484] The server creates a virtual reality environment based on a 3D model. This environment includes not only visual elements but also sound effects and lighting effects.

[0485] Step 6:

[0486] The server activates the emotion engine and prepares to recognize the user's emotions in real time. It collects the user's facial expression and voice data from the device's camera and microphone.

[0487] Step 7:

[0488] The emotion engine analyzes the user's emotional state and sends that information to the server. For example, if the user expresses surprise, this emotion data is transmitted to the server.

[0489] Step 8:

[0490] The server adjusts the virtual reality environment based on the user's emotional state. For example, it might emphasize background sounds or change the lighting of the environment in response to surprise.

[0491] Step 9:

[0492] The device displays a calibrated virtual reality environment to the user through VR goggles. Users can explore past eras in an interactive environment that changes according to their emotions.

[0493] (Example 2)

[0494] Next, we will describe Example 2. 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."

[0495] Conventional virtual reality systems have focused solely on the visual aspects when recreating past eras and locations, making it difficult to provide an experience that takes into account the user's emotions and reactions. As a result, they have not been able to achieve a deeper sense of immersion, and there is a need for methods to enrich the user experience.

[0496] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0497] In this invention, the server includes means for collecting information related to a specific time and place in the past, means for analyzing the information and generating a model that three-dimensionally reproduces the past, and means for recognizing the user's emotions and dynamically adjusting elements within the virtual environment. This enables an interactive and immersive virtual reality experience that responds to the user's emotions.

[0498] "Information" refers to data relating to a specific time period or geographical location, and includes both visual and textual information.

[0499] A "three-dimensional model" is a structure that reproduces past conditions in three dimensions, serving as a foundation for visually providing users with a past environment.

[0500] An "automated learning algorithm" is a computational method for generating models and optimizing systems based on data analysis, and it efficiently constructs three-dimensional models based on past data.

[0501] A "virtual environment" is a digital space designed to provide users with a virtual reality experience, enabling an immersive experience through the use of visual information.

[0502] "Means for recognizing the user's emotions" refers to technologies that analyze the user's facial expressions and voice to determine their current emotional state, and serve as the foundation for dynamically adapting the virtual environment.

[0503] In implementing the invention, this system mainly consists of three elements: a server, a terminal, and a user.

[0504] First, the user uses the terminal to specify the historical period and geographical location they wish to experience. When the user enters a prompt, such as "18th-century Paris," the terminal sends this request information to the server. In this process, the terminal acts as an interface, relaying the specific request to the server.

[0505] The server collects relevant information from the internet and dedicated databases based on the information it receives. This information includes visual information and literature information. The server then analyzes this information and uses a generative AI model to generate a model that reconstructs past events in three dimensions. The AI ​​model used needs to have the ability to efficiently analyze large amounts of data and construct a three-dimensional structure.

[0506] In addition, the server activates an engine to recognize the user's emotions and evaluates their emotional state in real time. During this process, the device uses its camera and microphone to collect data on facial expressions and voice. By analyzing this data using an AI algorithm, the user's emotions can be determined.

[0507] For example, if a user selects "17th-century London," the server analyzes relevant historical data and recreates the cityscape. If the server detects the user's surprise, it adjusts the background sounds and lighting effects to enhance them. This adjustment allows for a more realistic and immersive experience for the user.

[0508] Thus, this invention provides an interactive experience that changes the virtual environment in response to the user's emotions, thereby deepening their understanding of past events and places. This system is expected to be used in a wide range of fields, including education and tourism.

[0509] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0510] Step 1:

[0511] The user uses a terminal to specify the era and location they want to experience. As input, the user enters a prompt, such as "18th-century Paris." The terminal sends this request to the server. As output, the terminal generates formatted data containing the user's specifications.

[0512] Step 2:

[0513] Based on the specifications received from the user, the server collects relevant information from the internet and databases. Prompt statements are sent to the server as input. As output, the server generates an information set including historical photographs, maps, and bibliographic information. The server uses an efficient search algorithm to collect large amounts of information in a short time.

[0514] Step 3:

[0515] The server analyzes the collected information and applies a generative AI model to generate a model that recreates past events in three dimensions. The collected information set is provided as input. As output, the server generates a three-dimensional model. The server then runs the AI ​​model to precisely recreate past environments.

[0516] Step 4:

[0517] The server acquires the user's facial expressions and voice data through the camera and microphone connected to the terminal. Real-time facial expressions and voice are collected as input. As output, the server formats this data into a dataset for passing to the AI ​​algorithm. The server collects data instantly and processes it to minimize time lag.

[0518] Step 5:

[0519] The server utilizes an emotion engine and an AI algorithm to analyze and evaluate the user's emotions. Processed facial expressions and audio data are provided as input. An evaluation value representing the user's emotional state is generated as output. The server performs real-time analysis and instantly determines the user's emotions.

[0520] Step 6:

[0521] The server dynamically adjusts elements within the virtual environment according to the evaluated emotional state. The evaluated emotional state is used as input. As output, the server generates and provides the user with an adjusted virtual environment. The server changes background sounds and lighting, adjusting the environment to match the user's emotions.

[0522] Step 7:

[0523] The user experiences a calibrated virtual reality through VR goggles. As input, the user is provided with a calibrated virtual environment. As output, the user experiences an immersive recreation of a past cityscape. The user experiences a deeper sense of immersion through calibrated visual and auditory effects.

[0524] (Application Example 2)

[0525] Next, we will explain application example 2. In the following explanation, 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."

[0526] In history education, for learners to deeply understand a particular era or geographical location, it is crucial to go beyond simply providing informational knowledge and instead foster emotional understanding through experience. However, traditional teaching methods have problems in that it is difficult to visually recreate past situations, and there is a lack of technology to dynamically adjust learning content based on learners' emotions.

[0527] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0528] In this invention, the server includes means for collecting electronic data related to a specific historical period and geographical location, means for analyzing the electronic data and generating a three-dimensional model of a historical cityscape, and means for recognizing the user's emotional state and dynamically adjusting elements within the virtual reality environment. This enables a deeper understanding of history not only through visual experiences but also through emotional experiences.

[0529] "Electronic data" refers to various types of information related to a specific historical period and geographical location, and includes digital information such as image data and bibliographic information.

[0530] A "3D model" is a three-dimensional virtual structure created by analyzing collected electronic data to recreate past cityscapes and buildings.

[0531] A "virtual reality environment" is a digital space built on a generated 3D model that users can immerse themselves in and experience.

[0532] "User's device" refers to a device used to receive and display the virtual reality environment, such as smart glasses or head-mounted displays.

[0533] "Means for recognizing emotional states" refers to technology that analyzes emotions from the user's facial expressions and voice data, and is a function that makes real-time judgments using AI algorithms.

[0534] "Means for dynamically adjusting elements" refers to functions that change the sound and visual effects within the virtual reality environment according to the user's emotional state.

[0535] The system for carrying out this invention includes the following components: The server first collects electronic data related to a specific historical period and geographical location selected by the user from the internet and various databases. The electronic data includes image data and bibliographic information. This collects information that meets the user's requirements.

[0536] Next, the server analyzes the collected electronic data and uses a generative AI model to generate a 3D model of the cityscape from the past. This 3D model is generated through software such as Unity and forms the basis of the virtual reality environment. The virtual reality environment is a digital space built on the generated 3D model that users can immerse themselves in.

[0537] Furthermore, the server uses an emotion recognition API (such as Microsoft Azure Emotion API) to analyze the user's facial expressions and voice data acquired through the camera and microphone connected to the device, recognizing the user's emotional state in real time. Based on this, the server dynamically adjusts elements within the virtual reality environment. Specifically, it modifies sound and visual effects to provide an appropriate experience tailored to the user's emotions.

[0538] For example, there's a feature that recreates Paris in the past in a virtual environment, and if the user is surprised, it provides a detailed explanation of that scene.

[0539] An example of a prompt message is: "In 18th-century Paris, recreate in detail the crowds and bustling cafes of the Revolution, matching the user's expression of surprise."

[0540] In this way, the system creates a virtual reality space in the field of education that enables deeper learning through emotional experiences, not just visual information.

[0541] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0542] Step 1:

[0543] The server receives requests from users and collects electronic data based on the selected historical period and geographical location. Using this request as input, the server searches the internet and various databases to retrieve image data and bibliographic information. The retrieved data is then saved as output.

[0544] Step 2:

[0545] The server analyzes the collected electronic data and generates a 3D model using a generated AI model. The input is the electronic data saved in step 1. The data is processed by an AI algorithm and outputs a 3D model that recreates the past cityscape in three dimensions.

[0546] Step 3:

[0547] The server constructs a virtual reality environment based on the generated 3D model. The input is the 3D model from step 2. Using this model, a virtual reality space incorporating visual and acoustic elements is created and output using tools such as Unity.

[0548] Step 4:

[0549] The device displays a virtual reality environment provided by the server to the user. The input is the virtual reality environment received from the server. Using the device's display or smart glasses, it deploys this environment around the user, providing an immersive experience as output.

[0550] Step 5:

[0551] The server acquires user facial and voice data through the camera and microphone connected to the terminal and recognizes the user's emotional state. The input is this real-time data. The data is analyzed through an emotion recognition API, and the user's emotional state is evaluated as output.

[0552] Step 6:

[0553] The server dynamically adjusts elements within the virtual reality environment based on the recognized user's emotional state. The input is the emotional state from step 5. Sound and visual effects are adjusted to make appropriate changes according to the user's experience. The output is the updated virtual reality environment.

[0554] Step 7:

[0555] Users gain a deeper historical experience through a virtual reality environment that is tailored to their emotions, thereby maximizing its educational value.

[0556] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0557] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0558] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0559] [Fourth Embodiment]

[0560] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0561] As shown in Figure 7, the 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.

[0562] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0563] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0564] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0565] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0566] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0567] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0568] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0569] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0570] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0571] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0572] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0573] This invention is a system for recreating a cityscape associated with a specified historical period and geographical location within a virtual reality space. The following describes an embodiment of this system.

[0574] The terminal operated by the user first has an interface that allows the user to specify a particular time period and location in the past. Using this interface, the user inputs a specific time period and location, such as "Tokyo in 1920." The terminal then sends this information to the server.

[0575] The server collects electronic data related to a specified year and location from the internet and databases. This includes photographs, paintings, maps, and historical documents. The server analyzes this data and uses specific algorithms to generate a 3D model by applying a generative AI model. This generation process adjusts the shapes of buildings and the structure of the cityscape, aiming to provide the most accurate replica possible.

[0576] Next, the server constructs a virtual reality environment based on the generated 3D model. This environment includes a virtual cityscape rendered in real time, and an interface is created that allows the user to freely explore it. The server sends this virtual reality content to the terminal, which displays it to the user via VR goggles.

[0577] Users can wear VR goggles and actually explore a recreated city from the past. For example, if they choose Tokyo in 1920, they can walk around the main streets of that era and visually experience the culture and lifestyle of the time. This experience allows users to vividly feel the past and provides an opportunity to deepen their understanding of history.

[0578] This system allows users to visit various historical periods according to their individual interests and virtually experience historical sites. Through this, it is hoped that historical exploration will become a new learning opportunity that cannot be obtained through conventional methods, and will be utilized by many people.

[0579] The following describes the processing flow.

[0580] Step 1:

[0581] The user uses a terminal to input the desired time period and location into the interface. For example, the user might specify "London in 1920" and confirm the request based on that.

[0582] Step 2:

[0583] The device sends a request to the server containing information about the time period and location specified by the user. The request to the server includes specific year and coordinate information.

[0584] Step 3:

[0585] Based on the requests it receives, the server collects electronic data related to the city's past from the internet and databases. This data includes photographs, paintings, maps, and historical documents depicting the city's appearance at the time.

[0586] Step 4:

[0587] The server analyzes the collected data and generates a 3D model of past cityscapes using a generative AI model. The AI ​​model utilizes accumulated learning patterns to estimate building structures and city layouts.

[0588] Step 5:

[0589] The server constructs a virtual reality environment based on the generated 3D model. Specifically, it applies lighting and textures to the model, creating a virtual space that can be freely explored.

[0590] Step 6:

[0591] The server converts this virtual reality environment into a viewable data format, compresses it, and prepares it for streaming as needed. It then transfers the processed content to the terminal.

[0592] Step 7:

[0593] The device decompresses the received virtual reality environment and establishes a connection with the VR goggles. The user then puts on the goggles and can visually experience the recreated cityscape from the past.

[0594] Step 8:

[0595] Users can freely roam a virtual reality space and explore past eras. During this time, users can shift their viewpoint and perform various interactions.

[0596] (Example 1)

[0597] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0598] The problem this invention aims to solve is the difficulty in accurately recreating the streetscapes of specific historical periods and geographical locations. Conventional methods require considerable effort and time to collect and analyze historical data, and constructing accurate three-dimensional models is not easy. As a result, users have had limited opportunities to visually experience past cultures and lifestyles.

[0599] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0600] In this invention, the server includes means for collecting information related to a specific historical period and geographical location, means for analyzing the information and generating a three-dimensional structure of a historical cityscape using artificial intelligence technology, and means for constructing a virtual reality space for displaying the three-dimensional structure. This makes it possible for users to experience historical cityscapes with higher accuracy, more easily and quickly than before.

[0601] "Information" refers to all data related to a specific historical period and geographical location, including visual data and documentary information.

[0602] "Artificial intelligence technology" refers to technologies that use machine learning techniques and other algorithms to analyze data and generate models.

[0603] "Three-dimensional structure" refers to a model that recreates past cityscapes in three dimensions, and includes structures that are visually and spatially represented.

[0604] "Virtual reality space" refers to a computer-generated three-dimensional environment that a user can virtually experience, and includes environments capable of displaying three-dimensional structures.

[0605] "Device" refers to a device that allows users to visually experience a virtual reality space.

[0606] This system allows users to experience historical periods and geographical locations in a virtual reality space. Users first select a historical period and place of interest through the terminal's interface. For example, they might enter "Tokyo in 1920."

[0607] This information is sent to a server, which collects information about past eras and locations from the internet and databases. The server analyzes this information and uses artificial intelligence technology to generate a three-dimensional model of the past cityscape. Specifically, it uses machine learning techniques to recreate the three-dimensional cityscape from the collected data. This generation process employs algorithms that use, for example, computer vision technology.

[0608] The server then constructs a virtual reality space based on the generated 3D structure. This virtual reality space is developed using software such as Unity. The constructed virtual space is then sent directly to the user's terminal.

[0609] The device provides this virtual reality space to the user via VR goggles, allowing the user to freely explore it. For example, a prompt such as, "Generate a 3D model of Tokyo's streets in the 1920s. This model should include historical buildings and the general atmosphere of the streets at that time," is passed to a generation AI model to create a concrete three-dimensional structure.

[0610] This embodiment allows users to visually and experientially recreate past cityscapes, enabling them to learn history in a new way.

[0611] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0612] Step 1:

[0613] The user inputs historical periods and geographical locations of interest through the terminal's interface. The input data includes specific information about the time period and location, such as "Tokyo in 1920." This information is then transmitted from the terminal to the server.

[0614] Step 2:

[0615] The server receives information about the time period and location specified by the user. Based on the entered information, the server accesses the internet and specific databases to collect relevant information such as photographs, maps, and documents. This results in the necessary set of electronic data.

[0616] Step 3:

[0617] The server analyzes the collected information and uses a generative AI model to create a prompt. This prompt is "Generate a 3D model of Tokyo's streetscape in the 1920s." The server inputs this prompt into the generative AI model and generates three-dimensional structural data to recreate the streetscape of the past in three dimensions.

[0618] Step 4:

[0619] Using the generated 3D structure data, the server constructs a virtual reality space. This process uses software like Unity to create a three-dimensional space that is rendered in real time. The virtual reality space is designed for users to virtually explore.

[0620] Step 5:

[0621] The server sends the constructed virtual reality data to the terminal. The terminal receives this data and displays it to the user using VR goggles. The user walks around in the virtual reality space and has the opportunity to directly experience history by experiencing the cityscape of the past.

[0622] (Application Example 1)

[0623] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0624] There is a growing demand for realistic experiences of specific historical periods and places. However, it is difficult to recreate the detailed streetscapes and culture of those eras using only existing information, and there is a need to provide accurate and immersive experiences based on historical facts.

[0625] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0626] In this invention, the server includes means for collecting digital information related to a specific historical period and geographical location, means for analyzing the digital information and generating a three-dimensional model of a historical urban landscape, and means for constructing a virtual reality space for displaying the three-dimensional model. This allows users to freely explore a real-time virtual experience of a specified period and location through a smartphone or visual device.

[0627] "Digital information related to a specific historical period and geographical location" refers to visual and textual information about streetscapes and events in a particular period and place, obtained from historical databases and online resources.

[0628] "Analyzing digital information" is the process of creating accurate three-dimensional models of cityscapes and structures from a given era, using collected digital data and generative AI models and algorithms.

[0629] "Generating a three-dimensional model of past urban landscapes" is a method of constructing real-world streetscapes and buildings using three-dimensional computer graphics based on analyzed digital information.

[0630] "Constructing a virtual reality space" refers to creating a virtual environment that users can explore visually and interactively using a generated three-dimensional model.

[0631] "Providing an interface" means providing users with the means to access a virtual reality space through a smartphone or visual device and to navigate that environment.

[0632] "Applying generative AI models using prompt statements" is a technique that involves providing input to a generative AI model via prompt statements to obtain appropriate output when generating 3D models or simulations based on specific historical information.

[0633] The system implementing this invention begins by having a server collect digital information associated with a specific historical period and geographical location. The server retrieves visual and textual data from the internet and online databases. Next, it uses a generative AI model to analyze this digital information. This analysis process includes specific algorithms for creating a three-dimensional model of historical urban landscapes.

[0634] The server constructs a virtual reality space using the generated 3D model. This virtual reality space is rendered in real time using software such as Unity or Unreal Engine. The server then provides this virtual reality space to the user's device. Users can access and explore this virtual environment through smartphones or visual devices (e.g., Oculus Quest 2).

[0635] For example, if a user specifies that they want to experience "Paris in 1920," the server collects and analyzes relevant information about that era and region, and constructs a virtual reality space. The user can then use visual devices to explore the streets of Paris in 1920 in detail. This system uses prompts to obtain specific outputs from the AI ​​model. For example, a possible prompt might be, "Please generate a 3D model that recreates the streets of Paris in 1920. I would especially like a detailed depiction including buildings and streets around the Louvre Museum." In this way, the user can obtain a historical and detailed virtual experience.

[0636] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0637] Step 1:

[0638] The user uses their device to specify a particular historical year and geographical location. The system receives data as input, such as "Paris in 1920," via the user interface and sends it to the server. The output is the specified year and location information.

[0639] Step 2:

[0640] The server collects relevant digital information based on the specified information it receives. Specifically, it searches the internet and databases to retrieve the corresponding visual and textual data. The input for this step is the specified date and location information, and the output is a set of related digital information.

[0641] Step 3:

[0642] The server analyzes the collected digital information and applies a generative AI model to generate a concrete three-dimensional model. In this process, it considers data on structures and cityscapes, and uses prompts to instruct the AI ​​to draw specific three-dimensional structures. The input consists of visual data and text information, and the output is a concrete three-dimensional model.

[0643] Step 4:

[0644] The server constructs a virtual reality space based on the generated 3D model. Using Unity or Unreal Engine, it builds a virtual space that users can access in real time. The input for this step is the 3D model, and the output is the virtual reality environment itself.

[0645] Step 5:

[0646] The server transmits the constructed virtual reality environment to the terminal and provides it to the user. The user wears a visual device and becomes immersed in the virtual environment. The input is data from the virtual reality environment, and the output is an immersive virtual exploration experience as the user's experience.

[0647] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0648] This invention provides a more immersive experience by combining a system that recreates a specific historical period and geographical location in a virtual reality space with an emotion engine that recognizes the user's emotions. This system consists of the following elements:

[0649] First, the user uses their device to specify a particular time period and location. For example, they might enter conditions such as "18th-century Paris" into the interface and send a request to the server. The server then uses this information to collect relevant electronic data from the internet and various databases. This electronic data includes old photographs, maps, and historical records.

[0650] Next, the server analyzes the collected data and generates a 3D model using a generative AI model. The model meticulously recreates past buildings and streets, providing an accurate replica. The model generated here forms the basic elements of the virtual reality environment.

[0651] Subsequently, the server activates the emotion engine and begins recognizing the user's emotional state. This emotion engine acquires the user's facial expression and voice data through the camera and microphone connected to the device. An AI algorithm analyzes this data and evaluates the user's emotions in real time.

[0652] Depending on the user's emotional state, the server dynamically adjusts elements within the virtual reality environment. For example, if the user makes a surprised expression, the system changes background sounds and lighting effects to make the experience more realistic and immersive. This allows the user to react intuitively to the environment and achieve a deep sense of immersion.

[0653] Users experience this tuned virtual reality environment through VR goggles, exploring the city of the past. Because the environment changes based on the user's emotions, it goes beyond mere visual recreation, creating a historical exploration that also involves emotional experiences.

[0654] Thus, by utilizing emotion recognition technology, this invention provides an interactive experience that responds to user reactions, enabling users to enjoy the past from a new perspective. This system has potential applications in various fields such as education and tourism, and is therefore expected to have a wide range of uses.

[0655] The following describes the processing flow.

[0656] Step 1:

[0657] The user uses the device's interface to enter a specific time period and location. For example, they might set it to "New York in 1920" and submit the request.

[0658] Step 2:

[0659] The device sends the user's request to the server. The request includes information about a specific year and geographical location.

[0660] Step 3:

[0661] The server collects electronic data related to a specified time period and location. It searches the internet and various databases for photographs, documents, maps, etc., and retrieves the necessary data.

[0662] Step 4:

[0663] The server analyzes the collected electronic data and generates a 3D model using a generated AI model. Based on the data, the AI ​​recreates the layout of buildings and cities, constructing the entire space in three dimensions.

[0664] Step 5:

[0665] The server creates a virtual reality environment based on a 3D model. This environment includes not only visual elements but also sound effects and lighting effects.

[0666] Step 6:

[0667] The server activates the emotion engine and prepares to recognize the user's emotions in real time. It collects the user's facial expression and voice data from the device's camera and microphone.

[0668] Step 7:

[0669] The emotion engine analyzes the user's emotional state and sends that information to the server. For example, if the user expresses surprise, this emotion data is transmitted to the server.

[0670] Step 8:

[0671] The server adjusts the virtual reality environment based on the user's emotional state. For example, it might emphasize background sounds or change the lighting of the environment in response to surprise.

[0672] Step 9:

[0673] The device displays a calibrated virtual reality environment to the user through VR goggles. Users can explore past eras in an interactive environment that changes according to their emotions.

[0674] (Example 2)

[0675] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0676] Conventional virtual reality systems have focused solely on the visual aspects when recreating past eras and locations, making it difficult to provide an experience that takes into account the user's emotions and reactions. As a result, they have not been able to achieve a deeper sense of immersion, and there is a need for methods to enrich the user experience.

[0677] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0678] In this invention, the server includes means for collecting information related to a specific time and place in the past, means for analyzing the information and generating a model that three-dimensionally reproduces the past, and means for recognizing the user's emotions and dynamically adjusting elements within the virtual environment. This enables an interactive and immersive virtual reality experience that responds to the user's emotions.

[0679] "Information" refers to data relating to a specific time period or geographical location, and includes both visual and textual information.

[0680] A "three-dimensional model" is a structure that reproduces past conditions in three dimensions, serving as a foundation for visually providing users with a past environment.

[0681] An "automated learning algorithm" is a computational method for generating models and optimizing systems based on data analysis, and it efficiently constructs three-dimensional models based on past data.

[0682] A "virtual environment" is a digital space designed to provide users with a virtual reality experience, enabling an immersive experience through the use of visual information.

[0683] "Means for recognizing the user's emotions" refers to technologies that analyze the user's facial expressions and voice to determine their current emotional state, and serve as the foundation for dynamically adapting the virtual environment.

[0684] In implementing the invention, this system mainly consists of three elements: a server, a terminal, and a user.

[0685] First, the user uses the terminal to specify the historical period and geographical location they wish to experience. When the user enters a prompt, such as "18th-century Paris," the terminal sends this request information to the server. In this process, the terminal acts as an interface, relaying the specific request to the server.

[0686] The server collects relevant information from the internet and dedicated databases based on the information it receives. This information includes visual information and literature information. The server then analyzes this information and uses a generative AI model to generate a model that reconstructs past events in three dimensions. The AI ​​model used needs to have the ability to efficiently analyze large amounts of data and construct a three-dimensional structure.

[0687] In addition, the server activates an engine to recognize the user's emotions and evaluates their emotional state in real time. During this process, the device uses its camera and microphone to collect data on facial expressions and voice. By analyzing this data using an AI algorithm, the user's emotions can be determined.

[0688] For example, if a user selects "17th-century London," the server analyzes relevant historical data and recreates the cityscape. If the server detects the user's surprise, it adjusts the background sounds and lighting effects to enhance them. This adjustment allows for a more realistic and immersive experience for the user.

[0689] Thus, this invention provides an interactive experience that changes the virtual environment in response to the user's emotions, thereby deepening their understanding of past events and places. This system is expected to be used in a wide range of fields, including education and tourism.

[0690] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0691] Step 1:

[0692] The user uses a terminal to specify the era and location they want to experience. As input, the user enters a prompt, such as "18th-century Paris." The terminal sends this request to the server. As output, the terminal generates formatted data containing the user's specifications.

[0693] Step 2:

[0694] Based on the specifications received from the user, the server collects relevant information from the internet and databases. Prompt statements are sent to the server as input. As output, the server generates an information set including historical photographs, maps, and bibliographic information. The server uses an efficient search algorithm to collect large amounts of information in a short time.

[0695] Step 3:

[0696] The server analyzes the collected information and applies a generative AI model to generate a model that recreates past events in three dimensions. The collected information set is provided as input. As output, the server generates a three-dimensional model. The server then runs the AI ​​model to precisely recreate past environments.

[0697] Step 4:

[0698] The server acquires the user's facial expressions and voice data through the camera and microphone connected to the terminal. Real-time facial expressions and voice are collected as input. As output, the server formats this data into a dataset for passing to the AI ​​algorithm. The server collects data instantly and processes it to minimize time lag.

[0699] Step 5:

[0700] The server utilizes an emotion engine and an AI algorithm to analyze and evaluate the user's emotions. Processed facial expressions and audio data are provided as input. An evaluation value representing the user's emotional state is generated as output. The server performs real-time analysis and instantly determines the user's emotions.

[0701] Step 6:

[0702] The server dynamically adjusts elements within the virtual environment according to the evaluated emotional state. The evaluated emotional state is used as input. As output, the server generates and provides the user with an adjusted virtual environment. The server changes background sounds and lighting, adjusting the environment to match the user's emotions.

[0703] Step 7:

[0704] The user experiences a calibrated virtual reality through VR goggles. As input, the user is provided with a calibrated virtual environment. As output, the user experiences an immersive recreation of a past cityscape. The user experiences a deeper sense of immersion through calibrated visual and auditory effects.

[0705] (Application Example 2)

[0706] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0707] In history education, for learners to deeply understand a particular era or geographical location, it is crucial to go beyond simply providing informational knowledge and instead foster emotional understanding through experience. However, traditional teaching methods have problems in that it is difficult to visually recreate past situations, and there is a lack of technology to dynamically adjust learning content based on learners' emotions.

[0708] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0709] In this invention, the server includes means for collecting electronic data related to a specific historical period and geographical location, means for analyzing the electronic data and generating a three-dimensional model of a historical cityscape, and means for recognizing the user's emotional state and dynamically adjusting elements within the virtual reality environment. This enables a deeper understanding of history not only through visual experiences but also through emotional experiences.

[0710] "Electronic data" refers to various types of information related to a specific historical period and geographical location, and includes digital information such as image data and bibliographic information.

[0711] A "3D model" is a three-dimensional virtual structure created by analyzing collected electronic data to recreate past cityscapes and buildings.

[0712] A "virtual reality environment" is a digital space built on a generated 3D model that users can immerse themselves in and experience.

[0713] "User's device" refers to a device used to receive and display the virtual reality environment, such as smart glasses or head-mounted displays.

[0714] "Means for recognizing emotional states" refers to technology that analyzes emotions from the user's facial expressions and voice data, and is a function that makes real-time judgments using AI algorithms.

[0715] "Means for dynamically adjusting elements" refers to functions that change the sound and visual effects within the virtual reality environment according to the user's emotional state.

[0716] The system for carrying out this invention includes the following components: The server first collects electronic data related to a specific historical period and geographical location selected by the user from the internet and various databases. The electronic data includes image data and bibliographic information. This collects information that meets the user's requirements.

[0717] Next, the server analyzes the collected electronic data and uses a generative AI model to generate a 3D model of the cityscape from the past. This 3D model is generated through software such as Unity and forms the basis of the virtual reality environment. The virtual reality environment is a digital space built on the generated 3D model that users can immerse themselves in.

[0718] Furthermore, the server uses an emotion recognition API (such as Microsoft Azure Emotion API) to analyze the user's facial expressions and voice data acquired through the camera and microphone connected to the device, recognizing the user's emotional state in real time. Based on this, the server dynamically adjusts elements within the virtual reality environment. Specifically, it modifies sound and visual effects to provide an appropriate experience tailored to the user's emotions.

[0719] For example, there's a feature that recreates Paris in the past in a virtual environment, and if the user is surprised, it provides a detailed explanation of that scene.

[0720] An example of a prompt message is: "In 18th-century Paris, recreate in detail the crowds and bustling cafes of the Revolution, matching the user's expression of surprise."

[0721] In this way, the system creates a virtual reality space in the field of education that enables deeper learning through emotional experiences, not just visual information.

[0722] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0723] Step 1:

[0724] The server receives requests from users and collects electronic data based on the selected historical period and geographical location. Using this request as input, the server searches the internet and various databases to retrieve image data and bibliographic information. The retrieved data is then saved as output.

[0725] Step 2:

[0726] The server analyzes the collected electronic data and generates a 3D model using a generated AI model. The input is the electronic data saved in step 1. The data is processed by an AI algorithm and outputs a 3D model that recreates the past cityscape in three dimensions.

[0727] Step 3:

[0728] The server constructs a virtual reality environment based on the generated 3D model. The input is the 3D model from step 2. Using this model, a virtual reality space incorporating visual and acoustic elements is created and output using tools such as Unity.

[0729] Step 4:

[0730] The device displays a virtual reality environment provided by the server to the user. The input is the virtual reality environment received from the server. Using the device's display or smart glasses, it deploys this environment around the user, providing an immersive experience as output.

[0731] Step 5:

[0732] The server acquires user facial and voice data through the camera and microphone connected to the terminal and recognizes the user's emotional state. The input is this real-time data. The data is analyzed through an emotion recognition API, and the user's emotional state is evaluated as output.

[0733] Step 6:

[0734] The server dynamically adjusts elements within the virtual reality environment based on the recognized user's emotional state. The input is the emotional state from step 5. Sound and visual effects are adjusted to make appropriate changes according to the user's experience. The output is the updated virtual reality environment.

[0735] Step 7:

[0736] Users gain a deeper historical experience through a virtual reality environment that is tailored to their emotions, thereby maximizing its educational value.

[0737] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0738] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0739] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0740] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0741] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0742] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0743] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0744] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0745] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0746] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0747] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0748] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0749] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0750] 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.

[0751] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0752] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0753] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0754] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0755] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0756] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0757] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0758] The following is further disclosed regarding the embodiments described above.

[0759] (Claim 1)

[0760] Means for collecting electronic data related to specific historical periods and geographical locations,

[0761] A means for analyzing the aforementioned electronic data and generating a three-dimensional model of past cityscapes,

[0762] Means for constructing a virtual reality environment for displaying the aforementioned 3D model,

[0763] Means for providing the aforementioned virtual reality environment to the user's terminal,

[0764] A system that includes this.

[0765] (Claim 2)

[0766] The system according to claim 1, wherein the electronic data includes image data and bibliographic information.

[0767] (Claim 3)

[0768] The system according to claim 1, wherein a machine learning algorithm is applied to the generation of the three-dimensional model.

[0769] "Example 1"

[0770] (Claim 1)

[0771] Means for collecting information related to a specific historical period and geographical location,

[0772] A means for analyzing the aforementioned information and generating a three-dimensional structure of past cityscapes using artificial intelligence technology,

[0773] Means for constructing a virtual reality space for displaying the aforementioned three-dimensional structure,

[0774] Means for supplying the virtual reality space to the user's device,

[0775] A system that includes this.

[0776] (Claim 2)

[0777] The system according to claim 1, wherein the aforementioned information includes visual data and bibliographic information.

[0778] (Claim 3)

[0779] The system according to claim 1, wherein machine learning technology is applied to the generation of the three-dimensional structure.

[0780] "Application Example 1"

[0781] (Claim 1)

[0782] Means for collecting digital information related to a specific period and geographical location in the past,

[0783] A means for analyzing the aforementioned digital information and generating a three-dimensional model of past urban landscapes,

[0784] Means for constructing a virtual reality space for displaying the aforementioned three-dimensional model,

[0785] The means for providing the aforementioned virtual reality space to the user's information processing device,

[0786] Means for providing an interface that enables exploration of the virtual reality space via a smartphone or visual device,

[0787] A system that includes this.

[0788] (Claim 2)

[0789] The system according to claim 1, wherein the digital information includes visual data and text information, and further applies a generative AI model using prompt sentences.

[0790] (Claim 3)

[0791] The system according to claim 1, comprising a rendering engine that applies machine learning technology to the generation of the three-dimensional model and enables the virtual reality space to be displayed in real time.

[0792] "Example 2 of combining an emotion engine"

[0793] (Claim 1)

[0794] Means for collecting information related to a specific historical period and geographical location,

[0795] A means for analyzing the aforementioned information and generating a model that reproduces past events in three dimensions,

[0796] Means for constructing a virtual environment for displaying the aforementioned model,

[0797] Means for providing the aforementioned virtual environment to the user's device,

[0798] Means for recognizing the user's emotions and dynamically adjusting elements within the virtual environment,

[0799] A system that includes this.

[0800] (Claim 2)

[0801] The system according to claim 1, wherein the aforementioned information includes visual information and textual information.

[0802] (Claim 3)

[0803] The system according to claim 1, wherein an automated learning algorithm is applied to the generation of the three-dimensionally reproducible model.

[0804] "Application example 2 when combining with an emotional engine"

[0805] (Claim 1)

[0806] Means for collecting electronic data related to specific historical periods and geographical locations,

[0807] A means for analyzing the aforementioned electronic data and generating a three-dimensional model of past cityscapes,

[0808] Means for constructing a virtual reality environment for displaying the aforementioned 3D model,

[0809] Means for providing the aforementioned virtual reality environment to the user's terminal,

[0810] Means for recognizing the user's emotional state and dynamically adjusting elements within the virtual reality environment,

[0811] A system that includes this.

[0812] (Claim 2)

[0813] The system according to claim 1, wherein the electronic data includes image data and bibliographic information.

[0814] (Claim 3)

[0815] The system according to claim 1, wherein a machine learning algorithm is applied to the generation of the three-dimensional model. [Explanation of symbols]

[0816] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. Means for collecting electronic data related to specific historical periods and geographical locations, A means for analyzing the aforementioned electronic data and generating a three-dimensional model of past cityscapes, Means for constructing a virtual reality environment for displaying the aforementioned three-dimensional model, Means for providing the aforementioned virtual reality environment to the user's terminal, A system that includes this.

2. The system according to claim 1, wherein the electronic data includes image data and bibliographic information.

3. The system according to claim 1, wherein a machine learning algorithm is applied to the generation of the three-dimensional model.

Images