system

Abstract

We provide the system. [Solution] A method for acquiring data from the real world environment using optical sensors, Means for transmitting acquired data to a digital processing device, A means for automatically generating a virtual space based on data received by a digital processing device, A means of changing the style of the virtual space based on user selection, A means of displaying a virtual space on a display device for integrating it with the real world, 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, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a 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] The division between the real space and the virtual space is a major limitation in conventional virtual reality technology. Especially in an office space, the virtual space does not fully correspond to the actual physical environment, and there are limitations in improving the work efficiency and usage experience of users. The present invention aims to solve these problems by generating a virtual space based on a detailed scan of the real space and enabling users to experience both seamlessly.

Means for Solving the Problems

[0005] This invention provides a system that acquires real-world environmental data using optical sensors. The acquired data is transmitted to a digital processing unit, which automatically generates a virtual space based on the data. Furthermore, the style of the generated virtual space can be modified by the user, and digital objects are integrated and displayed in the real world through a display device. This allows users to experience the virtual environment in real time and enjoy a flexible work environment even in office spaces.

[0006] An "optical sensor" is a device that uses light to detect the physical properties of its surroundings, and is used to acquire spatial data from the real world.

[0007] A "digital processing device" is a computer system that performs calculations or data conversions based on received data, and is a device that handles the generation of virtual space.

[0008] A "virtual space" is an artificial environment created by a computer, a digital environment designed to be displayed in conjunction with the real world.

[0009] "User selection" refers to the decision-making process that users undertake based on their preferences and needs, and is an action used when changing the style of a virtual space.

[0010] A "digital object" is a digital entity that exists in a virtual space and can be manipulated or observed by a user.

[0011] A "display device" is a device that outputs digital information visually and provides an interface for integrating the real and virtual spaces and presenting them to the user. [Brief explanation of the drawing]

[0012] [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]

[0013] 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.

[0014] First, the terms used in the following description will be explained.

[0015] In the following embodiments, a numbered 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.

[0016] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0017] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0018] In the following embodiments, a numbered communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. 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).

[0019] 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."

[0020] [First Embodiment]

[0021] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0022] 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.

[0023] 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).

[0024] 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.

[0025] 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.

[0026] 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.

[0027] 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.

[0028] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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".

[0033] This invention relates to a system that scans the real-world environment and automatically generates a virtual space based on that data. The system consists of an optical sensor, a digital processing unit, and a user interface. The user-worn device is equipped with an optical sensor for scanning the real world. This sensor detects the physical characteristics of the surroundings while the user moves, acquiring detailed environmental data of the real world.

[0034] This data is transmitted from the terminal to a digital processing unit. The terminal analyzes the received data and has the means to generate a virtual space corresponding to the real world using a computational algorithm. The generated virtual space can be customized according to the user's preferences, for example, by changing its style to Japanese or Western. This allows the user to experience an integrated environment that digitally mimics the real world.

[0035] The server sends the generated virtual space back to the terminal, allowing the user to visually perceive the integrated world of reality and virtuality through the display device. This display device is used to overlay virtual digital objects onto the physical environment. Users can move virtual objects with hand movements and select functions with eye-tracking, resulting in an interactive and intuitive user experience.

[0036] As a concrete example, when a user is in an office, sensors scan the positions of desks, chairs, and walls, and a virtual space is generated based on this data. Digital whiteboards and screens are added to this virtual space, allowing users to visually manipulate useful information in a way that extends their real-world office environment. In this way, a virtual space closely linked to the real world is provided, creating a more fulfilling work environment.

[0037] The following describes the processing flow.

[0038] Step 1:

[0039] The optical sensors on the device worn by the user are activated and begin scanning the surrounding environment as the user walks around the office space. The sensors record the shape and position of walls, furniture, and other objects with high precision.

[0040] Step 2:

[0041] The terminal processes scanned data in real time, converting environmental information into a digital format. It removes noise from the data, extracts only the necessary information, and prepares it for transmission to a digital processing unit.

[0042] Step 3:

[0043] The terminal sends the converted data to the server via the internet. The server analyzes the received data and begins calculations for generating the virtual space.

[0044] Step 4:

[0045] The server generates a virtual space consistent with the real world based on the data. Since the calculations also take into account user preferences (such as design style and color scheme), the virtual space is customized to the user's needs.

[0046] Step 5:

[0047] The generated virtual space data is then sent back from the server to the terminal. The terminal uses this data to prepare to overlay virtual objects onto the user's field of view.

[0048] Step 6:

[0049] The display device on the terminal integrates the virtual space with the real world, allowing the user to experience a mixed reality where virtual objects appear as if they exist in the actual environment.

[0050] Step 7:

[0051] Users can move and resize displayed virtual objects using hand movements and gaze. This allows users to adjust and optimize the layout of the virtual space to suit their needs.

[0052] (Example 1)

[0053] 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."

[0054] Seamlessly integrating the real and virtual worlds requires processing complex sensor data, real-time calculations on miniaturized devices, and user-friendly interface technology. However, conventional technologies have struggled to integrate detailed environmental understanding, virtual space generation, and user interaction. Therefore, there is a need to achieve this and provide an interactive integrated environment that users can operate intuitively and efficiently.

[0055] 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.

[0056] In this invention, the server includes means for acquiring data using sensors to obtain the physical properties of the real space, means for transmitting the acquired data to a processing unit via wireless communication technology, and means for analyzing the data received by the processing unit and generating a virtual space using a generative AI model. This enables the user to intuitively operate a seamless interactive environment that integrates reality and virtuality.

[0057] "Real space" refers to a three-dimensional environment that users directly perceive and that physically exists.

[0058] "Physical properties" refer to the specific characteristics of a substance in a real-world environment, such as its shape, position, and dimensions.

[0059] A "sensor" is a device used to acquire the physical characteristics of the environment, and includes those that use optical methods.

[0060] "Means of data acquisition" refers to the process of collecting information from the real world using sensors.

[0061] "Wireless communication technology" refers to methods of transmitting information over long distances using radio waves, and includes wireless networks.

[0062] A "processing device" is a computing device that receives data, analyzes it, and generates a virtual space.

[0063] "Analysis" is the process of thoroughly examining received data and interpreting its meaning.

[0064] A "generative AI model" is an artificial intelligence algorithm used to construct and generate a virtual space from input data.

[0065] A "virtual space" is an artificial environment created using digital technology that is based on reality but does not physically exist.

[0066] A "display device" is a visual interface used to present a generated virtual space to the user.

[0067] "Overlay display" is a technology that visualizes virtual information by superimposing it onto the real world.

[0068] A "user" is the entity that operates the integrated environment of real and virtual space within this system.

[0069] "Gesture and eye-tracking input" refers to methods of controlling an interface using the user's hand or eye movements.

[0070] A "storage device" is a device that stores digital data and makes it available for reuse as needed.

[0071] This invention relates to a system for generating virtual spaces that allow users to have a richer experience of the real world. Specific embodiments thereof are described below.

[0072] Hardware configuration:

[0073] The user wears a mobile device equipped with sensors. These sensors acquire physical properties of the real world and collect data. The acquired data is transmitted to a server via wireless communication technology. The server contains a powerful processing unit on which a generative AI model is run to analyze the received data. Finally, the generated virtual space is displayed on the user's display device, such as an AR headset or smart glasses.

[0074] Software configuration:

[0075] On the server, calculations are performed using a generative AI model. This model dynamically generates a virtual space based on the received data. The theme and style of the virtual space are customized according to the user's prompts. These prompts include specific instructions, such as "add a digital whiteboard to the office environment."

[0076] Specific examples and prompt statements:

[0077] For example, as a user walks around the office, sensors scan the surrounding walls and desks, and the data is sent to a server. There, a generative AI model analyzes the data in real time, and a virtual office is instantly constructed. The user can add specific items to this virtual space using prompts. Examples of specific prompts include "Place a bookshelf behind the desk" and "Add a monitor to the meeting room."

[0078] The virtual space created in this way responds to user input and allows for interactive control of digital objects. This enables users to leverage an integrated environment of reality and virtuality to improve work efficiency.

[0079] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0080] Step 1:

[0081] The user uses a portable device equipped with sensors to collect data on the surrounding physical environment. Inputs include the physical characteristics of the environment, such as the shape and location of objects. The sensors scan this data, convert it into a digital format, and output it.

[0082] Step 2:

[0083] The terminal transmits environmental data obtained from the user to a server via wireless communication technology (e.g., Wi-Fi or Bluetooth). Here, the input is digital data collected by sensors, and the output is environmental information transferred to the server. The data is compressed to enable rapid transmission.

[0084] Step 3:

[0085] The server analyzes the received environmental data. In this process, environmental information is supplied as input to an AI algorithm, and a digital processing unit analyzes the data. As output, a virtual space foundation is formed based on the analysis results. In its specific operation, the generated AI model combines the subdivided data to perform precise 3D modeling.

[0086] Step 4:

[0087] The server receives prompts from the user and generates and customizes the virtual space. The input is a prompt that embodies the user's instructions, and the output is the customized virtual space. The generation AI model incorporates virtual objects and themes into the space according to the user's requests.

[0088] Step 5:

[0089] The server returns the generated, customized virtual space data to the terminal. The input is the analyzed virtual space model, and the output is a data structure for visualizing it. The terminal distributes the received data to the user's display device.

[0090] Step 6:

[0091] The user visually perceives and interacts with the virtual space through a display device. The input consists of displayed virtual objects, and the output is the user's actions within the space, generated by gestures and eye-tracking. Specifically, the user can move, select, and modify digital objects using hand and eye movements.

[0092] This process will create an interactive environment where reality and virtual reality merge, allowing users to manipulate the space efficiently and intuitively.

[0093] (Application Example 1)

[0094] 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."

[0095] There is a need to accurately reproduce real-world environments in virtual space and provide users with an interactive experience where they can select and purchase products without being restricted by physical limitations. This invention aims to realize a means for users to easily select and purchase products in a virtual space that mimics a real store, using eye movements and actions.

[0096] 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.

[0097] In this invention, the server includes means for acquiring information about the real-world environment using optical sensors, means for automatically generating a virtual scene based on the information received by the information processing device, and means for selecting and purchasing products using the user's gaze and actions. This makes it possible for users to enjoy a similar shopping experience in a virtual space while still being in a physical store.

[0098] The "real-world environment" refers to the physical space in which the user exists and the objects within it; this information is what will be acquired and analyzed.

[0099] An "optical sensor" is a device that uses light to acquire information about the surrounding environment and objects, and can collect data such as distance, shape, and color.

[0100] An "information processing device" refers to a computer system that analyzes acquired data and performs necessary calculations and data transformations.

[0101] A "virtual scene" is a digital space generated based on information from the real world, a virtual environment recreated for user interaction.

[0102] A "display device" is a device that visually outputs a virtual scene to the user, and includes devices such as AR / VR headsets and displays.

[0103] "User input" refers to instructions or actions given by the user to the system, including gestures and eye movements.

[0104] A "digital object" is an electronically generated object or information that exists within a virtual scene and can be manipulated by the user.

[0105] "Eye-gaze control" is an input method in which users operate devices and systems using eye movements, and it is a control technology that allows users to convey their intentions through the position and movement of their gaze.

[0106] "Action" refers to a physical movement performed by a user, and it is the element that allows the system to recognize it as input and execute the corresponding action.

[0107] "Product selection and purchase methods" refer to the means by which users can view product information within a virtual environment and interact to decide on a purchase.

[0108] The system realizing this invention includes an optical sensor, an information processing device, a display device, and a user interface. The server scans the real-world environment using an optical sensor such as the AKASO V50 Pro and collects information. The collected information is analyzed by the information processing device, and data processing and calculations are performed using OpenCV.

[0109] The information processing device automatically generates a virtual scene using virtual environment generation software such as Unity or Unreal Engine based on this data. The user then visually experiences the generated virtual scene using a display device such as Oculus Quest. In this process, technologies such as ARKit and ARCore are utilized to allow intuitive manipulation of digital objects within the virtual scene through eye movements and gestures.

[0110] As a concrete example, users can access a realistic bookstore from the comfort of their homes. In this virtual bookstore, users can select specific books with their eyes and turn pages with hand movements. Furthermore, they can easily complete the purchase process by confirming the book they want to buy with their eyes.

[0111] An example of a prompt for a generative AI model would be: "How can we scan a real bookstore and build a 360-degree virtual bookstore based on that data? Also, what technologies should we use to create a system where users visiting that store can freely browse and purchase products?"

[0112] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0113] Step 1:

[0114] The server uses optical sensors to scan the real-world environment and acquire data that describes its physical characteristics. This data includes information such as the position, shape, and color of surrounding objects. The input is environmental data from the optical sensors, and the output is scanned real-world data.

[0115] Step 2:

[0116] The server transmits the acquired environmental data to the information processing device. The information processing device uses the OpenCV library to analyze the image data and perform object recognition and understanding of the environmental structure. The input is real-world data obtained from step 1, and the output is analyzed environmental feature information. During this process, data noise reduction and feature extraction are performed.

[0117] Step 3:

[0118] The information processing device automatically generates a virtual scene using Unity or Unreal Engine based on the analyzed environmental feature information. The data is constructed as 3D models of objects and environment maps. The input is the analysis results from step 2, and the output is digitized virtual scene data.

[0119] Step 4:

[0120] The user accesses a virtual scene generated using a display device. The server utilizes ARKit and ARCore technologies to implement a mechanism for detecting the user's gaze and gestures. The input is the user's gaze and movement information, and the output is the interaction result (for example, the state in which a specific object is selected). This process allows the user to intuitively manipulate digital objects within the virtual scene.

[0121] Step 5:

[0122] Once a user finishes their actions in the virtual environment, the server saves their behavioral data. This allows for the recording of important user behavior information to improve future experiences. The input is user behavior data within the virtual environment, and the output is the saved user behavior log data.

[0123] 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.

[0124] This invention is a system that integrates the real world into a digital platform and further recognizes the user's emotional state and reflects it in a virtual space. This system consists of an optical sensor, a digital processing unit, an emotion engine, and a display device. The terminal worn by the user is equipped with an optical sensor that scans the environment and an emotion engine that detects physiological indicators to recognize the user's emotions.

[0125] The device first scans the real-world space where the user is located using optical sensors to acquire detailed physical environment data. Simultaneously, the emotion engine measures the user's physiological indicators, collecting data such as stress levels and heart rate. This data is used to estimate the user's emotional state.

[0126] Environmental and emotional data collected by the device are sent to a digital processing unit. The server analyzes this data and automatically generates a virtual space that corresponds to the real world. In this process, the style and experience of the virtual space are customized according to the user's emotional state. For example, if the user is relaxed, calming colors and sound effects are prioritized, while if they are stressed, a refreshing virtual landscape is displayed.

[0127] The generated virtual space data is sent back to the terminal and presented to the user through a display device. The user can not only visually experience this integrated reality-virtual space, but can also dynamically manipulate digital objects through hand gestures and voice commands.

[0128] For example, when a user uses this system in their home study, sensors scan the room's furniture and walls, and an emotion engine recognizes the user's relatively high stress level. Based on this information, a virtual space is generated, and a calming landscape, like being in a forest, unfolds before the user's vision. The user can manipulate virtual books and items with hand movements, enabling them to work in a relaxed environment.

[0129] Thus, the present invention, which utilizes an emotion engine, can provide an optimal virtual experience that takes into account the user's emotions and the situation in the real world, thereby realizing a more human-centered interface.

[0130] The following describes the processing flow.

[0131] Step 1:

[0132] The optical sensors on the device worn by the user activate and scan the real-world space in which the user is located. The device acquires the position and shape of walls, furniture, and other physical objects as digital data.

[0133] Step 2:

[0134] The device's built-in emotion engine activates and monitors physiological indicators to recognize the user's emotional state. This includes heart rate, skin electrical responses, and facial expression analysis, collecting data to comprehensively estimate the user's emotions.

[0135] Step 3:

[0136] The terminal temporarily stores acquired environmental and emotional data and transmits it to a digital processing unit. The server analyzes this data and generates a virtual space tailored to the user's preferences and emotional state.

[0137] Step 4:

[0138] Based on the analysis results, the server automatically generates a virtual space that is consistent with the real world. This virtual space incorporates designs and sound effects tailored to the user's emotional state, and is adjusted to allow the user to relax or feel energized.

[0139] Step 5:

[0140] The virtual space data generated by the server is then sent back to the terminal. The terminal then displays this virtual space as an overlay on the real environment via the user interface.

[0141] Step 6:

[0142] Users experience an integrated reality-virtual space through sight and hearing. In this integrated space, users can move and customize virtual objects using hand movements and voice commands.

[0143] Step 7:

[0144] When a user ends an emotion-based experience, the device can save the new emotion data and usage patterns to its storage. This data is then used to optimize future experiences.

[0145] (Example 2)

[0146] 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".

[0147] When integrating the real world and virtual environments, it is common practice to provide a uniform virtual experience without considering the user's emotional state, making it difficult to achieve an experience optimized for individual users. In particular, it is necessary to provide a virtual experience that takes the user's mental well-being into consideration.

[0148] 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.

[0149] In this invention, the server includes means for acquiring data from the environment using sensors, means for estimating the user's emotional state and customizing the virtual environment according to that state, and means for presenting the generated virtual environment on a display device. This makes it possible to provide an optimal virtual experience according to the user's emotional state and realize an immersive experience tailored to each individual user.

[0150] "Environment" refers to the actual physical space and the elements present within it, including all physical and visual characteristics surrounding the user under specific circumstances.

[0151] A "sensor" is a device that detects information about the physical environment and acquires it in digital format, and includes those with optical detection capabilities.

[0152] "Data acquisition" refers to the process of collecting physical and physiological information using sensors and converting it into a format that can be used for subsequent processing.

[0153] A "processing device" is a device that receives digital information, analyzes and converts it, and generates new information or commands.

[0154] A "virtual environment" refers to an alternative environment created using digital technology that is different from the real world but can be experienced visually and aurally.

[0155] "Emotional state" refers to the psychological and emotional state of a user at a specific point in time, estimated based on their physiological data.

[0156] "Customization" refers to the process of adjusting the configuration and elements of a virtual environment according to the user's specific requirements or circumstances.

[0157] A "display device" is a device used to visually present a generated virtual environment, and includes displays and head-mounted displays.

[0158] This invention is a system that integrates the real world into a digital platform and recognizes the user's emotional state, reflecting it in a virtual environment. The system mainly consists of sensors that scan the environment, a processing unit that analyzes the data, an engine for recognizing emotions, and a display device that presents the virtual environment.

[0159] The device is equipped with optical sensors and an emotion engine, which scan the user's environment in real time. The optical sensors capture the room's structure and objects in 3D and store it as visual data. Meanwhile, the emotion engine detects physiological indicators such as the user's heart rate and skin electrical responses to estimate the user's emotional state in real time.

[0160] This data is transmitted to the server through the interface. The server uses a generative AI model to analyze the received data and generate a virtual environment that corresponds to the real physical environment and the user's emotional state. This virtual environment is optimized for the user's emotions, providing a tranquil landscape when relaxed and a refreshing space when stressed.

[0161] The generated virtual environment is sent back to the terminal and presented to the user through the display device. The user can visually experience this virtual environment and dynamically manipulate virtual objects using hand movements and voice commands. This interaction provides a more personalized digital experience that responds to the user's emotional state.

[0162] For example, when a user uses this system at home, the terminal scans the furniture and wall art in the room, and the emotion engine detects the user's high stress level. Based on this information, the server generates a tranquil virtual space such as a forest or riverside as a landscape and presents it to the user. The user can enjoy a relaxing atmosphere by placing virtual items with their hands and changing the background music with voice commands.

[0163] An example of a prompt to input into the generating AI model is, "Please describe the characteristics of a calm virtual environment suitable for a user who is relaxed." This prompt allows the AI ​​to automatically determine a virtual environment style that matches the user's emotional state.

[0164] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0165] Step 1:

[0166] The device uses optical sensors to scan the user's surroundings. Specifically, the sensors acquire physical shape and color information to generate a 3D model. The input is the physical environment, and the output is detailed 3D environment data. This data includes information on the placement of objects and the layout of the room.

[0167] Step 2:

[0168] Simultaneously, the device uses an emotion engine to detect the user's physiological indicators. Specifically, it monitors heart rate, skin electrical responses, and other parameters in real time, using the user's physiological data as input. The output is an estimate of the user's emotional state, including information on whether they are relaxed or stressed.

[0169] Step 3:

[0170] The terminal transmits the collected environmental and sentiment data to the server. Specifically, the terminal performs data format conversion and supplies the data to the digital processing unit via the network. The input is the converted environmental and sentiment data, and the output is the dataset transmitted to the server.

[0171] Step 4:

[0172] The server analyzes the received data and generates a virtual environment using a generative AI model. In this process, the AI ​​model analyzes the data based on prompts and designs a virtual space that matches the user's emotional state. The input is a pre-processed dataset and prompts, and the output is customized virtual environment data.

[0173] Step 5:

[0174] The server sends the generated virtual environment data back to the terminal. Specifically, it uses data compression and transfer protocols to efficiently deliver the data to the terminal. The input is the virtual environment data, and the output is the data delivered to the terminal.

[0175] Step 6:

[0176] The terminal presents a virtual environment to the user through a display device. Specifically, the terminal uses display technology to visually render the virtual space and provide it to the user. The input is the received virtual environment data, and the output is the user's visual experience of the virtual environment.

[0177] Step 7:

[0178] Users manipulate virtual objects using hand movements and voice commands. Specifically, the terminal's sensors detect hand gestures and voice commands, analyze this information, and control the digital objects. The input is the user's operation instructions, and the output is the dynamic change of objects in the virtual space.

[0179] (Application Example 2)

[0180] 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".

[0181] Until now, systems that reflect users' emotions in the real world in a virtual environment in real time and provide personalized experiences tailored to each user have not been sufficiently realized. This invention aims to solve the problem of dynamically adjusting the virtual space according to the user's emotional state and providing the user with the optimal digital environment.

[0182] 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.

[0183] In this invention, the server includes means for acquiring data from the physical environment of the real world using optical sensors, means for transmitting the acquired data and the user's physiological indicators to a digital processing device, and means for automatically generating a virtual space based on the environmental data and emotional data received by the digital processing device. This makes it possible to generate a virtual environment that reflects the user's emotional state in real time and provide the user with an experience tailored to their individual needs.

[0184] "The physical environment of the real world" refers to the real physical space in which the user currently exists, and includes elements such as furniture, walls, and lighting.

[0185] An "optical sensor" is a type of imaging device used to convert the physical environment into digital data.

[0186] "Digital processing equipment" refers to a computer system that analyzes received data and generates a virtual space.

[0187] "Physiological indicators" are data that indicates the user's physical condition, and include heart rate, skin electrical activity, body temperature, etc.

[0188] A "virtual space" is a space constructed as a digital environment, which is provided visually and audibly in response to the user's real-world environment.

[0189] A "display device" is a device used to visually present a virtual space to the user, and includes smart glasses and displays.

[0190] "User selection input" refers to selection information obtained from user actions and interfaces.

[0191] "Digital elements" refer to objects and interfaces that users can interact with within a virtual space.

[0192] A "storage device" is a recording medium used to store generated data and reuse it as needed.

[0193] The system necessary to implement this invention is primarily based on the interaction of a user, a terminal, and a server. The user wears smart glasses, and this terminal is equipped with optical sensors and an emotion engine. The optical sensors scan the physical environment of the real world and convert it into digital data. The emotion engine analyzes the user's emotional state in real time by measuring physiological indicators such as heart rate and skin electrical activity.

[0194] The terminal sends this data to a server, which is a digital processing device. The server uses a machine learning framework such as TENSORFLOW® to automatically generate a virtual space based on the user's emotional state. This virtual space is customized to correspond to the user's specific emotional state; for example, a tranquil landscape is generated when the user is relaxed, and a soothing landscape is generated when the user is stressed.

[0195] The display device provides the user with a visual and auditory representation of the generated virtual space. The user can interact with digital elements within the virtual space using hand gestures and voice commands.

[0196] As a concrete example, consider a scenario where a user visits a virtual store. The terminal uses environmental sensors to acquire display data from the virtual store, and the emotion engine analyzes the user's emotions. Based on the analysis results, the server generates a store design using nature-themed interiors and soothing music. In this process, appropriate digital elements are selected according to the user's emotions, and suggestions are made to the user.

[0197] An example of a prompt for the generating AI model is: "If the user's stress level is determined to be high, refresh the displays in the virtual store with nature motifs. Please tell us what elements should be included to create a relaxing environment."

[0198] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0199] Step 1:

[0200] The device uses optical sensors to scan the real-world physical environment and acquire environmental data. This data includes information about surrounding objects and their arrangement. The input is the physical environment, and the output is environmental data in digital format.

[0201] Step 2:

[0202] The device uses an emotion engine to measure the user's physiological indicators. This acquires data such as the user's heart rate and skin electrical activity. The input is the user's physiological state, and the output is data indicating the user's emotional state.

[0203] Step 3:

[0204] The terminal transmits the acquired environmental and emotional data to a server, which is a digital processing device. The input is environmental and emotional data, and the output is the transmission of data to the server.

[0205] Step 4:

[0206] The server analyzes the received data and automatically generates a virtual space suitable for the user's emotional state using a generative AI model. In this step, themes and design elements are selected according to the emotional state. The input consists of environmental data and emotional data, and the output is customized virtual space data.

[0207] Step 5:

[0208] The server sends the generated virtual space data to the terminal. This prepares the user to experience the customized virtual space. The input is the virtual space data, and the output is the transmission of data to the terminal.

[0209] Step 6:

[0210] The terminal presents a virtual space to the user through a display device. The user can visually experience the displayed virtual space. The input is virtual space data, and the output is a visual and auditory presentation of the virtual environment.

[0211] Step 7:

[0212] The user manipulates digital elements in the virtual space using hand gestures and voice commands. In this step, an interface is provided for the user to interact. The input is the user's input (hand gestures, voice commands), and the output is the change of digital elements in the virtual space.

[0213] 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.

[0214] 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.

[0215] 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.

[0216] [Second Embodiment]

[0217] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0218] 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.

[0219] 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).

[0220] 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.

[0221] 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.

[0222] 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).

[0223] 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.

[0224] 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.

[0225] 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.

[0226] 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.

[0227] 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.

[0228] 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".

[0229] This invention relates to a system that scans the real-world environment and automatically generates a virtual space based on that data. The system consists of an optical sensor, a digital processing unit, and a user interface. The user-worn device is equipped with an optical sensor for scanning the real world. This sensor detects the physical characteristics of the surroundings while the user moves, acquiring detailed environmental data of the real world.

[0230] This data is transmitted from the terminal to a digital processing unit. The terminal analyzes the received data and has the means to generate a virtual space corresponding to the real world using a computational algorithm. The generated virtual space can be customized according to the user's preferences, for example, by changing its style to Japanese or Western. This allows the user to experience an integrated environment that digitally mimics the real world.

[0231] The server sends the generated virtual space back to the terminal, allowing the user to visually perceive the integrated world of reality and virtuality through the display device. This display device is used to overlay virtual digital objects onto the physical environment. Users can move virtual objects with hand movements and select functions with eye-tracking, resulting in an interactive and intuitive user experience.

[0232] As a concrete example, when a user is in an office, sensors scan the positions of desks, chairs, and walls, and a virtual space is generated based on this data. Digital whiteboards and screens are added to this virtual space, allowing users to visually manipulate useful information in a way that extends their real-world office environment. In this way, a virtual space closely linked to the real world is provided, creating a more fulfilling work environment.

[0233] The following describes the processing flow.

[0234] Step 1:

[0235] The optical sensors on the device worn by the user are activated and begin scanning the surrounding environment as the user walks around the office space. The sensors record the shape and position of walls, furniture, and other objects with high precision.

[0236] Step 2:

[0237] The terminal processes scanned data in real time, converting environmental information into a digital format. It removes noise from the data, extracts only the necessary information, and prepares it for transmission to a digital processing unit.

[0238] Step 3:

[0239] The terminal sends the converted data to the server via the internet. The server analyzes the received data and begins calculations for generating the virtual space.

[0240] Step 4:

[0241] The server generates a virtual space consistent with the real world based on the data. Since the calculations also take into account user preferences (such as design style and color scheme), the virtual space is customized to the user's needs.

[0242] Step 5:

[0243] The generated virtual space data is then sent back from the server to the terminal. The terminal uses this data to prepare to overlay virtual objects onto the user's field of view.

[0244] Step 6:

[0245] The display device on the terminal integrates the virtual space with the real world, allowing the user to experience a mixed reality where virtual objects appear as if they exist in the actual environment.

[0246] Step 7:

[0247] Users can move and resize displayed virtual objects using hand movements and gaze. This allows users to adjust and optimize the layout of the virtual space to suit their needs.

[0248] (Example 1)

[0249] 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."

[0250] Seamlessly integrating the real and virtual worlds requires processing complex sensor data, real-time calculations on miniaturized devices, and user-friendly interface technology. However, conventional technologies have struggled to integrate detailed environmental understanding, virtual space generation, and user interaction. Therefore, there is a need to achieve this and provide an interactive integrated environment that users can operate intuitively and efficiently.

[0251] 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.

[0252] In this invention, the server includes means for acquiring data using sensors to obtain the physical properties of the real space, means for transmitting the acquired data to a processing unit via wireless communication technology, and means for analyzing the data received by the processing unit and generating a virtual space using a generative AI model. This enables the user to intuitively operate a seamless interactive environment that integrates reality and virtuality.

[0253] "Real space" refers to a three-dimensional environment that users directly perceive and that physically exists.

[0254] "Physical properties" refer to the specific characteristics of a substance in a real-world environment, such as its shape, position, and dimensions.

[0255] A "sensor" is a device used to acquire the physical characteristics of the environment, and includes those that use optical methods.

[0256] "Means of data acquisition" refers to the process of collecting information from the real world using sensors.

[0257] "Wireless communication technology" refers to methods of transmitting information over long distances using radio waves, and includes wireless networks.

[0258] A "processing device" is a computing device that receives data, analyzes it, and generates a virtual space.

[0259] "Analysis" is the process of thoroughly examining received data and interpreting its meaning.

[0260] A "generative AI model" is an artificial intelligence algorithm used to construct and generate a virtual space from input data.

[0261] A "virtual space" is an artificial environment created using digital technology that is based on reality but does not physically exist.

[0262] A "display device" is a visual interface used to present a generated virtual space to the user.

[0263] "Overlay display" is a technology that visualizes virtual information by superimposing it onto the real world.

[0264] A "user" is the entity that operates the integrated environment of real and virtual space within this system.

[0265] "Gesture and eye-tracking input" refers to methods of controlling an interface using the user's hand or eye movements.

[0266] A "storage device" is a device that stores digital data and makes it available for reuse as needed.

[0267] This invention relates to a system for generating virtual spaces that allow users to have a richer experience of the real world. Specific embodiments thereof are described below.

[0268] Hardware configuration:

[0269] The user wears a mobile device equipped with sensors. These sensors acquire physical properties of the real world and collect data. The acquired data is transmitted to a server via wireless communication technology. The server contains a powerful processing unit on which a generative AI model is run to analyze the received data. Finally, the generated virtual space is displayed on the user's display device, such as an AR headset or smart glasses.

[0270] Software configuration:

[0271] On the server, calculations are performed using a generative AI model. This model dynamically generates a virtual space based on the received data. The theme and style of the virtual space are customized according to the user's prompts. These prompts include specific instructions, such as "add a digital whiteboard to the office environment."

[0272] Specific examples and prompt statements:

[0273] For example, as a user walks around the office, sensors scan the surrounding walls and desks, and the data is sent to a server. There, a generative AI model analyzes the data in real time, and a virtual office is instantly constructed. The user can add specific items to this virtual space using prompts. Examples of specific prompts include "Place a bookshelf behind the desk" and "Add a monitor to the meeting room."

[0274] The virtual space created in this way responds to user input and allows for interactive control of digital objects. This enables users to leverage an integrated environment of reality and virtuality to improve work efficiency.

[0275] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0276] Step 1:

[0277] The user uses a mobile device equipped with sensors to collect ambient physical environment data. The inputs include the physical characteristics of the environment, such as the shape and position information of objects. The sensors scan these data, convert them into digital format, and output them.

[0278] Step 2:

[0279] The terminal transmits the environmental data obtained from the user to the server via wireless communication technologies (e.g., Wi-Fi and Bluetooth). Here, the input is the digital data collected by the sensors, and the output is the environmental information transferred to the server. The data is compressed to enable rapid transmission.

[0280] Step 3:

[0281] The server analyzes the received environmental data. In this process, the environmental information as the input is supplied to the AI algorithm, and the digital processing device analyzes the data. As the output, a foundation for the virtual space based on the analysis results is formed. In specific operations, the generated AI model combines the segmented data to perform precise 3D modeling.

[0282] Step 4:

[0283] The server receives the prompt sentence from the user and generates and customizes the virtual space. The input is the prompt sentence that concretizes the user's instructions, and the output is the customized virtual space. The generated AI model incorporates virtual objects and themes according to the user's requirements into the space.

[0284] Step 5:

[0285] The server returns the generated customized virtual space data to the terminal. The input is the analyzed virtual space model, and the output is the data structure for visualizing it. The terminal distributes the received data to the user's display device.

[0286] Step 6:

[0287] The user visually checks and operates the virtual space through the display device. The input includes the displayed virtual objects, and the output is the in-space actions based on the user's gestures and gaze inputs. As specific operations, the user can move, select, and change digital objects with hand and eye movements.

[0288] Through this process, an interactive environment where reality and virtuality are integrated is realized, enabling the user to efficiently and intuitively operate the space.

[0289] (Application Example 1)

[0290] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0291] There is a demand to accurately reproduce the real-world environment in the virtual space and provide an experience where users can interactively select and purchase products without physical constraints. The present invention aims to realize a means for users to easily select and purchase products by gaze operation and movement in a virtual space that mimics a real store.

[0292] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0293] In this invention, the server includes means for acquiring information on the real-world environment using an optical sensor, means for automatically generating a virtual scene based on the information received by the information processing device, and means for selecting and purchasing products using the user's gaze operation and movement. Thereby, the user can enjoy a similar purchasing experience in the virtual space while not being in a physical store.

[0294] The "real-world environment" refers to the physical space in which the user exists and the objects within it; this information is what will be acquired and analyzed.

[0295] An "optical sensor" is a device that uses light to acquire information about the surrounding environment and objects, and can collect data such as distance, shape, and color.

[0296] An "information processing device" refers to a computer system that analyzes acquired data and performs necessary calculations and data transformations.

[0297] A "virtual scene" is a digital space generated based on information from the real world, a virtual environment recreated for user interaction.

[0298] A "display device" is a device that visually outputs a virtual scene to the user, and includes devices such as AR / VR headsets and displays.

[0299] "User input" refers to instructions or actions given by the user to the system, including gestures and eye movements.

[0300] A "digital object" is an electronically generated object or information that exists within a virtual scene and can be manipulated by the user.

[0301] "Eye-gaze control" is an input method in which users operate devices and systems using eye movements, and it is a control technology that allows users to convey their intentions through the position and movement of their gaze.

[0302] "Action" refers to a physical movement performed by a user, and it is the element that allows the system to recognize it as input and execute the corresponding action.

[0303] "Product selection and purchase methods" refer to the means by which users can view product information within a virtual environment and interact to decide on a purchase.

[0304] The system for realizing this invention includes an optical sensor, an information processing device, a display device, and a user interface. The server uses an optical sensor such as the AKASO V50 Pro to scan the real-world environment and collect its information. The collected information is analyzed by the information processing device, and data processing and data calculations are performed using OpenCV.

[0305] In the information processing device, based on this data, virtual environment generation software such as Unity or Unreal Engine is used to automatically generate a virtual scene. The user uses a display device such as the Oculus Quest to visually experience the generated virtual scene. At this time, by utilizing the technologies of ARKit or ARCore, it is possible to intuitively operate digital objects in the virtual scene by eye movement and gestures.

[0306] As a specific example, it is possible for a user to access a realistic bookstore while at home. In this virtual bookstore, the user can select a specific book with their eyesight and turn the pages with hand movements. Furthermore, by determining the book to be purchased with their eyesight, the purchase procedure can be easily completed.

[0307] Examples of prompt texts for the generation AI model include "How can I scan a real bookstore and build a 360-degree virtual bookstore based on its data? Also, what technologies should I utilize to create a mechanism that allows users visiting the store to freely browse and purchase products?"

[0308] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0309] Step 1:

[0310] The server uses optical sensors to scan the real-world environment and acquire data that describes its physical characteristics. This data includes information such as the position, shape, and color of surrounding objects. The input is environmental data from the optical sensors, and the output is scanned real-world data.

[0311] Step 2:

[0312] The server transmits the acquired environmental data to the information processing device. The information processing device uses the OpenCV library to analyze the image data and perform object recognition and understanding of the environmental structure. The input is real-world data obtained from step 1, and the output is analyzed environmental feature information. During this process, data noise reduction and feature extraction are performed.

[0313] Step 3:

[0314] The information processing device automatically generates a virtual scene using Unity or Unreal Engine based on the analyzed environmental feature information. The data is constructed as 3D models of objects and environment maps. The input is the analysis results from step 2, and the output is digitized virtual scene data.

[0315] Step 4:

[0316] The user accesses a virtual scene generated using a display device. The server utilizes ARKit and ARCore technologies to implement a mechanism for detecting the user's gaze and gestures. The input is the user's gaze and movement information, and the output is the interaction result (for example, the state in which a specific object is selected). This process allows the user to intuitively manipulate digital objects within the virtual scene.

[0317] Step 5:

[0318] Once a user finishes their actions in the virtual environment, the server saves their behavioral data. This allows for the recording of important user behavior information to improve future experiences. The input is user behavior data within the virtual environment, and the output is the saved user behavior log data.

[0319] 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.

[0320] This invention is a system that integrates the real world into a digital platform and further recognizes the user's emotional state and reflects it in a virtual space. This system consists of an optical sensor, a digital processing unit, an emotion engine, and a display device. The terminal worn by the user is equipped with an optical sensor that scans the environment and an emotion engine that detects physiological indicators to recognize the user's emotions.

[0321] The device first scans the real-world space where the user is located using optical sensors to acquire detailed physical environment data. Simultaneously, the emotion engine measures the user's physiological indicators, collecting data such as stress levels and heart rate. This data is used to estimate the user's emotional state.

[0322] Environmental and emotional data collected by the device are sent to a digital processing unit. The server analyzes this data and automatically generates a virtual space that corresponds to the real world. In this process, the style and experience of the virtual space are customized according to the user's emotional state. For example, if the user is relaxed, calming colors and sound effects are prioritized, while if they are stressed, a refreshing virtual landscape is displayed.

[0323] The generated virtual space data is sent back to the terminal and presented to the user through a display device. The user can not only visually experience this integrated reality-virtual space, but can also dynamically manipulate digital objects through hand gestures and voice commands.

[0324] For example, when a user uses this system in their home study, sensors scan the room's furniture and walls, and an emotion engine recognizes the user's relatively high stress level. Based on this information, a virtual space is generated, and a calming landscape, like being in a forest, unfolds before the user's vision. The user can manipulate virtual books and items with hand movements, enabling them to work in a relaxed environment.

[0325] Thus, the present invention, which utilizes an emotion engine, can provide an optimal virtual experience that takes into account the user's emotions and the situation in the real world, thereby realizing a more human-centered interface.

[0326] The following describes the processing flow.

[0327] Step 1:

[0328] The optical sensors on the device worn by the user activate and scan the real-world space in which the user is located. The device acquires the position and shape of walls, furniture, and other physical objects as digital data.

[0329] Step 2:

[0330] The device's built-in emotion engine activates and monitors physiological indicators to recognize the user's emotional state. This includes heart rate, skin electrical responses, and facial expression analysis, collecting data to comprehensively estimate the user's emotions.

[0331] Step 3:

[0332] The terminal temporarily stores acquired environmental and emotional data and transmits it to a digital processing unit. The server analyzes this data and generates a virtual space tailored to the user's preferences and emotional state.

[0333] Step 4:

[0334] Based on the analysis results, the server automatically generates a virtual space that is consistent with the real world. This virtual space incorporates designs and sound effects tailored to the user's emotional state, and is adjusted to allow the user to relax or feel energized.

[0335] Step 5:

[0336] The virtual space data generated by the server is then sent back to the terminal. The terminal then displays this virtual space as an overlay on the real environment via the user interface.

[0337] Step 6:

[0338] Users experience an integrated reality-virtual space through sight and hearing. In this integrated space, users can move and customize virtual objects using hand movements and voice commands.

[0339] Step 7:

[0340] When a user ends an emotion-based experience, the device can save the new emotion data and usage patterns to its storage. This data is then used to optimize future experiences.

[0341] (Example 2)

[0342] 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".

[0343] When integrating the real world and virtual environments, it is common practice to provide a uniform virtual experience without considering the user's emotional state, making it difficult to achieve an experience optimized for individual users. In particular, it is necessary to provide a virtual experience that takes the user's mental well-being into consideration.

[0344] 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.

[0345] In this invention, the server includes means for acquiring data from the environment using sensors, means for estimating the user's emotional state and customizing the virtual environment according to that state, and means for presenting the generated virtual environment on a display device. This makes it possible to provide an optimal virtual experience according to the user's emotional state and realize an immersive experience tailored to each individual user.

[0346] "Environment" refers to the actual physical space and the elements present within it, including all physical and visual characteristics surrounding the user under specific circumstances.

[0347] A "sensor" is a device that detects information about the physical environment and acquires it in digital format, and includes those with optical detection capabilities.

[0348] "Data acquisition" refers to the process of collecting physical and physiological information using sensors and converting it into a format that can be used for subsequent processing.

[0349] A "processing device" is a device that receives digital information, analyzes and converts it, and generates new information or commands.

[0350] A "virtual environment" refers to an alternative environment created using digital technology that is different from the real world but can be experienced visually and aurally.

[0351] "Emotional state" refers to the psychological and emotional state of a user at a specific point in time, estimated based on their physiological data.

[0352] "Customization" refers to the process of adjusting the configuration and elements of a virtual environment according to the user's specific requirements or circumstances.

[0353] A "display device" is a device used to visually present a generated virtual environment, and includes displays and head-mounted displays.

[0354] This invention is a system that integrates the real world into a digital platform and recognizes the user's emotional state, reflecting it in a virtual environment. The system mainly consists of sensors that scan the environment, a processing unit that analyzes the data, an engine for recognizing emotions, and a display device that presents the virtual environment.

[0355] The device is equipped with optical sensors and an emotion engine, which scan the user's environment in real time. The optical sensors capture the room's structure and objects in 3D and store it as visual data. Meanwhile, the emotion engine detects physiological indicators such as the user's heart rate and skin electrical responses to estimate the user's emotional state in real time.

[0356] This data is transmitted to the server through the interface. The server uses a generative AI model to analyze the received data and generate a virtual environment that corresponds to the real physical environment and the user's emotional state. This virtual environment is optimized for the user's emotions, providing a tranquil landscape when relaxed and a refreshing space when stressed.

[0357] The generated virtual environment is sent back to the terminal and presented to the user through the display device. The user can visually experience this virtual environment and dynamically manipulate virtual objects using hand movements and voice commands. This interaction provides a more personalized digital experience that responds to the user's emotional state.

[0358] For example, when a user uses this system at home, the terminal scans the furniture and wall art in the room, and the emotion engine detects the user's high stress level. Based on this information, the server generates a tranquil virtual space such as a forest or riverside as a landscape and presents it to the user. The user can enjoy a relaxing atmosphere by placing virtual items with their hands and changing the background music with voice commands.

[0359] An example of a prompt to input into the generating AI model is, "Please describe the characteristics of a calm virtual environment suitable for a user who is relaxed." This prompt allows the AI ​​to automatically determine a virtual environment style that matches the user's emotional state.

[0360] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0361] Step 1:

[0362] The device uses optical sensors to scan the user's surroundings. Specifically, the sensors acquire physical shape and color information to generate a 3D model. The input is the physical environment, and the output is detailed 3D environment data. This data includes information on the placement of objects and the layout of the room.

[0363] Step 2:

[0364] Simultaneously, the device uses an emotion engine to detect the user's physiological indicators. Specifically, it monitors heart rate, skin electrical responses, and other parameters in real time, using the user's physiological data as input. The output is an estimate of the user's emotional state, including information on whether they are relaxed or stressed.

[0365] Step 3:

[0366] The terminal transmits the collected environmental and sentiment data to the server. Specifically, the terminal performs data format conversion and supplies the data to the digital processing unit via the network. The input is the converted environmental and sentiment data, and the output is the dataset transmitted to the server.

[0367] Step 4:

[0368] The server analyzes the received data and generates a virtual environment using a generative AI model. In this process, the AI ​​model analyzes the data based on prompts and designs a virtual space that matches the user's emotional state. The input is a pre-processed dataset and prompts, and the output is customized virtual environment data.

[0369] Step 5:

[0370] The server sends the generated virtual environment data back to the terminal. Specifically, it uses data compression and transfer protocols to efficiently deliver the data to the terminal. The input is the virtual environment data, and the output is the data delivered to the terminal.

[0371] Step 6:

[0372] The terminal presents a virtual environment to the user through a display device. Specifically, the terminal uses display technology to visually render the virtual space and provide it to the user. The input is the received virtual environment data, and the output is the user's visual experience of the virtual environment.

[0373] Step 7:

[0374] Users manipulate virtual objects using hand movements and voice commands. Specifically, the terminal's sensors detect hand gestures and voice commands, analyze this information, and control the digital objects. The input is the user's operation instructions, and the output is the dynamic change of objects in the virtual space.

[0375] (Application Example 2)

[0376] 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."

[0377] Until now, systems that reflect users' emotions in the real world in a virtual environment in real time and provide personalized experiences tailored to each user have not been sufficiently realized. This invention aims to solve the problem of dynamically adjusting the virtual space according to the user's emotional state and providing the user with the optimal digital environment.

[0378] 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.

[0379] In this invention, the server includes means for acquiring data from the physical environment of the real world using optical sensors, means for transmitting the acquired data and the user's physiological indicators to a digital processing device, and means for automatically generating a virtual space based on the environmental data and emotional data received by the digital processing device. This makes it possible to generate a virtual environment that reflects the user's emotional state in real time and provide the user with an experience tailored to their individual needs.

[0380] "The physical environment of the real world" refers to the real physical space in which the user currently exists, and includes elements such as furniture, walls, and lighting.

[0381] An "optical sensor" is a type of imaging device used to convert the physical environment into digital data.

[0382] "Digital processing equipment" refers to a computer system that analyzes received data and generates a virtual space.

[0383] "Physiological indicators" are data that indicates the user's physical condition, and include heart rate, skin electrical activity, body temperature, etc.

[0384] A "virtual space" is a space constructed as a digital environment, which is provided visually and audibly in response to the user's real-world environment.

[0385] A "display device" is a device used to visually present a virtual space to the user, and includes smart glasses and displays.

[0386] "User selection input" refers to selection information obtained from user actions and interfaces.

[0387] "Digital elements" refer to objects and interfaces that users can interact with within a virtual space.

[0388] A "storage device" is a recording medium used to store generated data and reuse it as needed.

[0389] The system necessary to implement this invention is primarily based on the interaction of a user, a terminal, and a server. The user wears smart glasses, and this terminal is equipped with optical sensors and an emotion engine. The optical sensors scan the physical environment of the real world and convert it into digital data. The emotion engine analyzes the user's emotional state in real time by measuring physiological indicators such as heart rate and skin electrical activity.

[0390] The device sends this data to a server, which is a digital processing device. The server uses machine learning frameworks such as TensorFlow to automatically generate a virtual space based on the user's emotional state. This virtual space is customized to correspond to the user's specific emotional state; for example, a tranquil landscape is generated when the user is relaxed, and a soothing landscape is generated when the user is stressed.

[0391] The display device provides the user with a visual and auditory representation of the generated virtual space. The user can interact with digital elements within the virtual space using hand gestures and voice commands.

[0392] As a concrete example, consider a scenario where a user visits a virtual store. The terminal uses environmental sensors to acquire display data from the virtual store, and the emotion engine analyzes the user's emotions. Based on the analysis results, the server generates a store design using nature-themed interiors and soothing music. In this process, appropriate digital elements are selected according to the user's emotions, and suggestions are made to the user.

[0393] An example of a prompt for the generating AI model is: "If the user's stress level is determined to be high, refresh the displays in the virtual store with nature motifs. Please tell us what elements should be included to create a relaxing environment."

[0394] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0395] Step 1:

[0396] The device uses optical sensors to scan the real-world physical environment and acquire environmental data. This data includes information about surrounding objects and their arrangement. The input is the physical environment, and the output is environmental data in digital format.

[0397] Step 2:

[0398] The device uses an emotion engine to measure the user's physiological indicators. This acquires data such as the user's heart rate and skin electrical activity. The input is the user's physiological state, and the output is data indicating the user's emotional state.

[0399] Step 3:

[0400] The terminal transmits the acquired environmental and emotional data to a server, which is a digital processing device. The input is environmental and emotional data, and the output is the transmission of data to the server.

[0401] Step 4:

[0402] The server analyzes the received data and automatically generates a virtual space suitable for the user's emotional state using a generative AI model. In this step, themes and design elements are selected according to the emotional state. The input consists of environmental data and emotional data, and the output is customized virtual space data.

[0403] Step 5:

[0404] The server sends the generated virtual space data to the terminal. This prepares the user to experience the customized virtual space. The input is the virtual space data, and the output is the transmission of data to the terminal.

[0405] Step 6:

[0406] The terminal presents a virtual space to the user through a display device. The user can visually experience the displayed virtual space. The input is virtual space data, and the output is a visual and auditory presentation of the virtual environment.

[0407] Step 7:

[0408] The user manipulates digital elements in the virtual space using hand gestures and voice commands. In this step, an interface is provided for the user to interact. The input is the user's input (hand gestures, voice commands), and the output is the change of digital elements in the virtual space.

[0409] 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.

[0410] 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.

[0411] 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.

[0412] [Third Embodiment]

[0413] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0414] 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.

[0415] 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).

[0416] 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.

[0417] 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.

[0418] 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).

[0419] 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.

[0420] 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.

[0421] 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.

[0422] 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.

[0423] 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.

[0424] 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".

[0425] This invention relates to a system that scans the real-world environment and automatically generates a virtual space based on that data. The system consists of an optical sensor, a digital processing unit, and a user interface. The user-worn device is equipped with an optical sensor for scanning the real world. This sensor detects the physical characteristics of the surroundings while the user moves, acquiring detailed environmental data of the real world.

[0426] This data is transmitted from the terminal to a digital processing unit. The terminal analyzes the received data and has the means to generate a virtual space corresponding to the real world using a computational algorithm. The generated virtual space can be customized according to the user's preferences, for example, by changing its style to Japanese or Western. This allows the user to experience an integrated environment that digitally mimics the real world.

[0427] The server sends the generated virtual space back to the terminal, allowing the user to visually perceive the integrated world of reality and virtuality through the display device. This display device is used to overlay virtual digital objects onto the physical environment. Users can move virtual objects with hand movements and select functions with eye-tracking, resulting in an interactive and intuitive user experience.

[0428] As a concrete example, when a user is in an office, sensors scan the positions of desks, chairs, and walls, and a virtual space is generated based on this data. Digital whiteboards and screens are added to this virtual space, allowing users to visually manipulate useful information in a way that extends their real-world office environment. In this way, a virtual space closely linked to the real world is provided, creating a more fulfilling work environment.

[0429] The following describes the processing flow.

[0430] Step 1:

[0431] The optical sensors on the device worn by the user are activated and begin scanning the surrounding environment as the user walks around the office space. The sensors record the shape and position of walls, furniture, and other objects with high precision.

[0432] Step 2:

[0433] The terminal processes scanned data in real time, converting environmental information into a digital format. It removes noise from the data, extracts only the necessary information, and prepares it for transmission to a digital processing unit.

[0434] Step 3:

[0435] The terminal sends the converted data to the server via the internet. The server analyzes the received data and begins calculations for generating the virtual space.

[0436] Step 4:

[0437] The server generates a virtual space consistent with the real world based on the data. Since the calculations also take into account user preferences (such as design style and color scheme), the virtual space is customized to the user's needs.

[0438] Step 5:

[0439] The generated virtual space data is then sent back from the server to the terminal. The terminal uses this data to prepare to overlay virtual objects onto the user's field of view.

[0440] Step 6:

[0441] The display device on the terminal integrates the virtual space with the real world, allowing the user to experience a mixed reality where virtual objects appear as if they exist in the actual environment.

[0442] Step 7:

[0443] Users can move and resize displayed virtual objects using hand movements and gaze. This allows users to adjust and optimize the layout of the virtual space to suit their needs.

[0444] (Example 1)

[0445] 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."

[0446] Seamlessly integrating the real and virtual worlds requires processing complex sensor data, real-time calculations on miniaturized devices, and user-friendly interface technology. However, conventional technologies have struggled to integrate detailed environmental understanding, virtual space generation, and user interaction. Therefore, there is a need to achieve this and provide an interactive integrated environment that users can operate intuitively and efficiently.

[0447] 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.

[0448] In this invention, the server includes means for acquiring data using sensors to obtain the physical properties of the real space, means for transmitting the acquired data to a processing unit via wireless communication technology, and means for analyzing the data received by the processing unit and generating a virtual space using a generative AI model. This enables the user to intuitively operate a seamless interactive environment that integrates reality and virtuality.

[0449] "Real space" refers to a three-dimensional environment that users directly perceive and that physically exists.

[0450] "Physical properties" refer to the specific characteristics of a substance in a real-world environment, such as its shape, position, and dimensions.

[0451] A "sensor" is a device used to acquire the physical characteristics of the environment, and includes those that use optical methods.

[0452] "Means of data acquisition" refers to the process of collecting information from the real world using sensors.

[0453] "Wireless communication technology" refers to methods of transmitting information over long distances using radio waves, and includes wireless networks.

[0454] A "processing device" is a computing device that receives data, analyzes it, and generates a virtual space.

[0455] "Analysis" is the process of thoroughly examining received data and interpreting its meaning.

[0456] A "generative AI model" is an artificial intelligence algorithm used to construct and generate a virtual space from input data.

[0457] A "virtual space" is an artificial environment created using digital technology that is based on reality but does not physically exist.

[0458] A "display device" is a visual interface used to present a generated virtual space to the user.

[0459] "Overlay display" is a technology that visualizes virtual information by superimposing it onto the real world.

[0460] A "user" is the entity that operates the integrated environment of real and virtual space within this system.

[0461] "Gesture and eye-tracking input" refers to methods of controlling an interface using the user's hand or eye movements.

[0462] A "storage device" is a device that stores digital data and makes it available for reuse as needed.

[0463] This invention relates to a system for generating virtual spaces that allow users to have a richer experience of the real world. Specific embodiments thereof are described below.

[0464] Hardware configuration:

[0465] The user wears a mobile device equipped with sensors. These sensors acquire physical properties of the real world and collect data. The acquired data is transmitted to a server via wireless communication technology. The server contains a powerful processing unit on which a generative AI model is run to analyze the received data. Finally, the generated virtual space is displayed on the user's display device, such as an AR headset or smart glasses.

[0466] Software configuration:

[0467] On the server, calculations are performed using a generative AI model. This model dynamically generates a virtual space based on the received data. The theme and style of the virtual space are customized according to the user's prompts. These prompts include specific instructions, such as "add a digital whiteboard to the office environment."

[0468] Specific examples and prompt statements:

[0469] For example, as a user walks around the office, sensors scan the surrounding walls and desks, and the data is sent to a server. There, a generative AI model analyzes the data in real time, and a virtual office is instantly constructed. The user can add specific items to this virtual space using prompts. Examples of specific prompts include "Place a bookshelf behind the desk" and "Add a monitor to the meeting room."

[0470] The virtual space created in this way responds to user input and allows for interactive control of digital objects. This enables users to leverage an integrated environment of reality and virtuality to improve work efficiency.

[0471] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0472] Step 1:

[0473] The user uses a portable device equipped with sensors to collect data on the surrounding physical environment. Inputs include the physical characteristics of the environment, such as the shape and location of objects. The sensors scan this data, convert it into a digital format, and output it.

[0474] Step 2:

[0475] The terminal transmits environmental data obtained from the user to a server via wireless communication technology (e.g., Wi-Fi or Bluetooth). Here, the input is digital data collected by sensors, and the output is environmental information transferred to the server. The data is compressed to enable rapid transmission.

[0476] Step 3:

[0477] The server analyzes the received environmental data. In this process, environmental information is supplied as input to an AI algorithm, and a digital processing unit analyzes the data. As output, a virtual space foundation is formed based on the analysis results. In its specific operation, the generated AI model combines the subdivided data to perform precise 3D modeling.

[0478] Step 4:

[0479] The server receives prompts from the user and generates and customizes the virtual space. The input is a prompt that embodies the user's instructions, and the output is the customized virtual space. The generation AI model incorporates virtual objects and themes into the space according to the user's requests.

[0480] Step 5:

[0481] The server returns the generated, customized virtual space data to the terminal. The input is the analyzed virtual space model, and the output is a data structure for visualizing it. The terminal distributes the received data to the user's display device.

[0482] Step 6:

[0483] The user visually perceives and interacts with the virtual space through a display device. The input consists of displayed virtual objects, and the output is the user's actions within the space, generated by gestures and eye-tracking. Specifically, the user can move, select, and modify digital objects using hand and eye movements.

[0484] This process will create an interactive environment where reality and virtual reality merge, allowing users to manipulate the space efficiently and intuitively.

[0485] (Application Example 1)

[0486] 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."

[0487] There is a need to accurately reproduce real-world environments in virtual space and provide users with an interactive experience where they can select and purchase products without being restricted by physical limitations. This invention aims to realize a means for users to easily select and purchase products in a virtual space that mimics a real store, using eye movements and actions.

[0488] 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.

[0489] In this invention, the server includes means for acquiring information about the real-world environment using optical sensors, means for automatically generating a virtual scene based on the information received by the information processing device, and means for selecting and purchasing products using the user's gaze and actions. This makes it possible for users to enjoy a similar shopping experience in a virtual space while still being in a physical store.

[0490] The "real-world environment" refers to the physical space in which the user exists and the objects within it; this information is what will be acquired and analyzed.

[0491] An "optical sensor" is a device that uses light to acquire information about the surrounding environment and objects, and can collect data such as distance, shape, and color.

[0492] An "information processing device" refers to a computer system that analyzes acquired data and performs necessary calculations and data transformations.

[0493] A "virtual scene" is a digital space generated based on information from the real world, a virtual environment recreated for user interaction.

[0494] A "display device" is a device that visually outputs a virtual scene to the user, and includes devices such as AR / VR headsets and displays.

[0495] "User input" refers to instructions or actions given by the user to the system, including gestures and eye movements.

[0496] A "digital object" is an electronically generated object or information that exists within a virtual scene and can be manipulated by the user.

[0497] "Eye-gaze control" is an input method in which users operate devices and systems using eye movements, and it is a control technology that allows users to convey their intentions through the position and movement of their gaze.

[0498] "Action" refers to a physical movement performed by a user, and it is the element that allows the system to recognize it as input and execute the corresponding action.

[0499] "Product selection and purchase methods" refer to the means by which users can view product information within a virtual environment and interact to decide on a purchase.

[0500] The system realizing this invention includes an optical sensor, an information processing device, a display device, and a user interface. The server scans the real-world environment using an optical sensor such as the AKASO V50 Pro and collects information. The collected information is analyzed by the information processing device, and data processing and calculations are performed using OpenCV.

[0501] The information processing device automatically generates a virtual scene using virtual environment generation software such as Unity or Unreal Engine based on this data. The user then visually experiences the generated virtual scene using a display device such as Oculus Quest. In this process, technologies such as ARKit and ARCore are utilized to allow intuitive manipulation of digital objects within the virtual scene through eye movements and gestures.

[0502] As a concrete example, users can access a realistic bookstore from the comfort of their homes. In this virtual bookstore, users can select specific books with their eyes and turn pages with hand movements. Furthermore, they can easily complete the purchase process by confirming the book they want to buy with their eyes.

[0503] An example of a prompt for a generative AI model would be: "How can we scan a real bookstore and build a 360-degree virtual bookstore based on that data? Also, what technologies should we use to create a system where users visiting that store can freely browse and purchase products?"

[0504] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0505] Step 1:

[0506] The server uses optical sensors to scan the real-world environment and acquire data that describes its physical characteristics. This data includes information such as the position, shape, and color of surrounding objects. The input is environmental data from the optical sensors, and the output is scanned real-world data.

[0507] Step 2:

[0508] The server transmits the acquired environmental data to the information processing device. The information processing device uses the OpenCV library to analyze the image data and perform object recognition and understanding of the environmental structure. The input is real-world data obtained from step 1, and the output is analyzed environmental feature information. During this process, data noise reduction and feature extraction are performed.

[0509] Step 3:

[0510] The information processing device automatically generates a virtual scene using Unity or Unreal Engine based on the analyzed environmental feature information. The data is constructed as 3D models of objects and environment maps. The input is the analysis results from step 2, and the output is digitized virtual scene data.

[0511] Step 4:

[0512] The user accesses a virtual scene generated using a display device. The server utilizes ARKit and ARCore technologies to implement a mechanism for detecting the user's gaze and gestures. The input is the user's gaze and movement information, and the output is the interaction result (for example, the state in which a specific object is selected). This process allows the user to intuitively manipulate digital objects within the virtual scene.

[0513] Step 5:

[0514] Once a user finishes their actions in the virtual environment, the server saves their behavioral data. This allows for the recording of important user behavior information to improve future experiences. The input is user behavior data within the virtual environment, and the output is the saved user behavior log data.

[0515] 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.

[0516] This invention is a system that integrates the real world into a digital platform and further recognizes the user's emotional state and reflects it in a virtual space. This system consists of an optical sensor, a digital processing unit, an emotion engine, and a display device. The terminal worn by the user is equipped with an optical sensor that scans the environment and an emotion engine that detects physiological indicators to recognize the user's emotions.

[0517] The device first scans the real-world space where the user is located using optical sensors to acquire detailed physical environment data. Simultaneously, the emotion engine measures the user's physiological indicators, collecting data such as stress levels and heart rate. This data is used to estimate the user's emotional state.

[0518] Environmental and emotional data collected by the device are sent to a digital processing unit. The server analyzes this data and automatically generates a virtual space that corresponds to the real world. In this process, the style and experience of the virtual space are customized according to the user's emotional state. For example, if the user is relaxed, calming colors and sound effects are prioritized, while if they are stressed, a refreshing virtual landscape is displayed.

[0519] The generated virtual space data is sent back to the terminal and presented to the user through a display device. The user can not only visually experience this integrated reality-virtual space, but can also dynamically manipulate digital objects through hand gestures and voice commands.

[0520] For example, when a user uses this system in their home study, sensors scan the room's furniture and walls, and an emotion engine recognizes the user's relatively high stress level. Based on this information, a virtual space is generated, and a calming landscape, like being in a forest, unfolds before the user's vision. The user can manipulate virtual books and items with hand movements, enabling them to work in a relaxed environment.

[0521] Thus, the present invention, which utilizes an emotion engine, can provide an optimal virtual experience that takes into account the user's emotions and the situation in the real world, thereby realizing a more human-centered interface.

[0522] The following describes the processing flow.

[0523] Step 1:

[0524] The optical sensors on the device worn by the user activate and scan the real-world space in which the user is located. The device acquires the position and shape of walls, furniture, and other physical objects as digital data.

[0525] Step 2:

[0526] The device's built-in emotion engine activates and monitors physiological indicators to recognize the user's emotional state. This includes heart rate, skin electrical responses, and facial expression analysis, collecting data to comprehensively estimate the user's emotions.

[0527] Step 3:

[0528] The terminal temporarily stores acquired environmental and emotional data and transmits it to a digital processing unit. The server analyzes this data and generates a virtual space tailored to the user's preferences and emotional state.

[0529] Step 4:

[0530] Based on the analysis results, the server automatically generates a virtual space that is consistent with the real world. This virtual space incorporates designs and sound effects tailored to the user's emotional state, and is adjusted to allow the user to relax or feel energized.

[0531] Step 5:

[0532] The virtual space data generated by the server is then sent back to the terminal. The terminal then displays this virtual space as an overlay on the real environment via the user interface.

[0533] Step 6:

[0534] Users experience an integrated reality-virtual space through sight and hearing. In this integrated space, users can move and customize virtual objects using hand movements and voice commands.

[0535] Step 7:

[0536] When a user ends an emotion-based experience, the device can save the new emotion data and usage patterns to its storage. This data is then used to optimize future experiences.

[0537] (Example 2)

[0538] 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."

[0539] When integrating the real world and virtual environments, it is common practice to provide a uniform virtual experience without considering the user's emotional state, making it difficult to achieve an experience optimized for individual users. In particular, it is necessary to provide a virtual experience that takes the user's mental well-being into consideration.

[0540] 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.

[0541] In this invention, the server includes means for acquiring data from the environment using sensors, means for estimating the user's emotional state and customizing the virtual environment according to that state, and means for presenting the generated virtual environment on a display device. This makes it possible to provide an optimal virtual experience according to the user's emotional state and realize an immersive experience tailored to each individual user.

[0542] "Environment" refers to the actual physical space and the elements present within it, including all physical and visual characteristics surrounding the user under specific circumstances.

[0543] A "sensor" is a device that detects information about the physical environment and acquires it in digital format, and includes those with optical detection capabilities.

[0544] "Data acquisition" refers to the process of collecting physical and physiological information using sensors and converting it into a format that can be used for subsequent processing.

[0545] A "processing device" is a device that receives digital information, analyzes and converts it, and generates new information or commands.

[0546] A "virtual environment" refers to an alternative environment created using digital technology that is different from the real world but can be experienced visually and aurally.

[0547] "Emotional state" refers to the psychological and emotional state of a user at a specific point in time, estimated based on their physiological data.

[0548] "Customization" refers to the process of adjusting the configuration and elements of a virtual environment according to the user's specific requirements or circumstances.

[0549] A "display device" is a device used to visually present a generated virtual environment, and includes displays and head-mounted displays.

[0550] This invention is a system that integrates the real world into a digital platform and recognizes the user's emotional state, reflecting it in a virtual environment. The system mainly consists of sensors that scan the environment, a processing unit that analyzes the data, an engine for recognizing emotions, and a display device that presents the virtual environment.

[0551] The device is equipped with optical sensors and an emotion engine, which scan the user's environment in real time. The optical sensors capture the room's structure and objects in 3D and store it as visual data. Meanwhile, the emotion engine detects physiological indicators such as the user's heart rate and skin electrical responses to estimate the user's emotional state in real time.

[0552] This data is transmitted to the server through the interface. The server uses a generative AI model to analyze the received data and generate a virtual environment that corresponds to the real physical environment and the user's emotional state. This virtual environment is optimized for the user's emotions, providing a tranquil landscape when relaxed and a refreshing space when stressed.

[0553] The generated virtual environment is sent back to the terminal and presented to the user through the display device. The user can visually experience this virtual environment and dynamically manipulate virtual objects using hand movements and voice commands. This interaction provides a more personalized digital experience that responds to the user's emotional state.

[0554] For example, when a user uses this system at home, the terminal scans the furniture and wall art in the room, and the emotion engine detects the user's high stress level. Based on this information, the server generates a tranquil virtual space such as a forest or riverside as a landscape and presents it to the user. The user can enjoy a relaxing atmosphere by placing virtual items with their hands and changing the background music with voice commands.

[0555] An example of a prompt to input into the generating AI model is, "Please describe the characteristics of a calm virtual environment suitable for a user who is relaxed." This prompt allows the AI ​​to automatically determine a virtual environment style that matches the user's emotional state.

[0556] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0557] Step 1:

[0558] The device uses optical sensors to scan the user's surroundings. Specifically, the sensors acquire physical shape and color information to generate a 3D model. The input is the physical environment, and the output is detailed 3D environment data. This data includes information on the placement of objects and the layout of the room.

[0559] Step 2:

[0560] Simultaneously, the device uses an emotion engine to detect the user's physiological indicators. Specifically, it monitors heart rate, skin electrical responses, and other parameters in real time, using the user's physiological data as input. The output is an estimate of the user's emotional state, including information on whether they are relaxed or stressed.

[0561] Step 3:

[0562] The terminal transmits the collected environmental and sentiment data to the server. Specifically, the terminal performs data format conversion and supplies the data to the digital processing unit via the network. The input is the converted environmental and sentiment data, and the output is the dataset transmitted to the server.

[0563] Step 4:

[0564] The server analyzes the received data and generates a virtual environment using a generative AI model. In this process, the AI ​​model analyzes the data based on prompts and designs a virtual space that matches the user's emotional state. The input is a pre-processed dataset and prompts, and the output is customized virtual environment data.

[0565] Step 5:

[0566] The server sends the generated virtual environment data back to the terminal. Specifically, it uses data compression and transfer protocols to efficiently deliver the data to the terminal. The input is the virtual environment data, and the output is the data delivered to the terminal.

[0567] Step 6:

[0568] The terminal presents a virtual environment to the user through a display device. Specifically, the terminal uses display technology to visually render the virtual space and provide it to the user. The input is the received virtual environment data, and the output is the user's visual experience of the virtual environment.

[0569] Step 7:

[0570] Users manipulate virtual objects using hand movements and voice commands. Specifically, the terminal's sensors detect hand gestures and voice commands, analyze this information, and control the digital objects. The input is the user's operation instructions, and the output is the dynamic change of objects in the virtual space.

[0571] (Application Example 2)

[0572] 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."

[0573] Until now, systems that reflect users' emotions in the real world in a virtual environment in real time and provide personalized experiences tailored to each user have not been sufficiently realized. This invention aims to solve the problem of dynamically adjusting the virtual space according to the user's emotional state and providing the user with the optimal digital environment.

[0574] 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.

[0575] In this invention, the server includes means for acquiring data from the physical environment of the real world using optical sensors, means for transmitting the acquired data and the user's physiological indicators to a digital processing device, and means for automatically generating a virtual space based on the environmental data and emotional data received by the digital processing device. This makes it possible to generate a virtual environment that reflects the user's emotional state in real time and provide the user with an experience tailored to their individual needs.

[0576] "The physical environment of the real world" refers to the real physical space in which the user currently exists, and includes elements such as furniture, walls, and lighting.

[0577] An "optical sensor" is a type of imaging device used to convert the physical environment into digital data.

[0578] "Digital processing equipment" refers to a computer system that analyzes received data and generates a virtual space.

[0579] "Physiological indicators" are data that indicates the user's physical condition, and include heart rate, skin electrical activity, body temperature, etc.

[0580] A "virtual space" is a space constructed as a digital environment, which is provided visually and audibly in response to the user's real-world environment.

[0581] A "display device" is a device used to visually present a virtual space to the user, and includes smart glasses and displays.

[0582] "User selection input" refers to selection information obtained from user actions and interfaces.

[0583] "Digital elements" refer to objects and interfaces that users can interact with within a virtual space.

[0584] A "storage device" is a recording medium used to store generated data and reuse it as needed.

[0585] The system necessary to implement this invention is primarily based on the interaction of a user, a terminal, and a server. The user wears smart glasses, and this terminal is equipped with optical sensors and an emotion engine. The optical sensors scan the physical environment of the real world and convert it into digital data. The emotion engine analyzes the user's emotional state in real time by measuring physiological indicators such as heart rate and skin electrical activity.

[0586] The device sends this data to a server, which is a digital processing device. The server uses machine learning frameworks such as TensorFlow to automatically generate a virtual space based on the user's emotional state. This virtual space is customized to correspond to the user's specific emotional state; for example, a tranquil landscape is generated when the user is relaxed, and a soothing landscape is generated when the user is stressed.

[0587] The display device provides the user with a visual and auditory representation of the generated virtual space. The user can interact with digital elements within the virtual space using hand gestures and voice commands.

[0588] As a concrete example, consider a scenario where a user visits a virtual store. The terminal uses environmental sensors to acquire display data from the virtual store, and the emotion engine analyzes the user's emotions. Based on the analysis results, the server generates a store design using nature-themed interiors and soothing music. In this process, appropriate digital elements are selected according to the user's emotions, and suggestions are made to the user.

[0589] An example of a prompt for the generating AI model is: "If the user's stress level is determined to be high, refresh the displays in the virtual store with nature motifs. Please tell us what elements should be included to create a relaxing environment."

[0590] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0591] Step 1:

[0592] The device uses optical sensors to scan the real-world physical environment and acquire environmental data. This data includes information about surrounding objects and their arrangement. The input is the physical environment, and the output is environmental data in digital format.

[0593] Step 2:

[0594] The device uses an emotion engine to measure the user's physiological indicators. This acquires data such as the user's heart rate and skin electrical activity. The input is the user's physiological state, and the output is data indicating the user's emotional state.

[0595] Step 3:

[0596] The terminal transmits the acquired environmental and emotional data to a server, which is a digital processing device. The input is environmental and emotional data, and the output is the transmission of data to the server.

[0597] Step 4:

[0598] The server analyzes the received data and automatically generates a virtual space suitable for the user's emotional state using a generative AI model. In this step, themes and design elements are selected according to the emotional state. The input consists of environmental data and emotional data, and the output is customized virtual space data.

[0599] Step 5:

[0600] The server sends the generated virtual space data to the terminal. This prepares the user to experience the customized virtual space. The input is the virtual space data, and the output is the transmission of data to the terminal.

[0601] Step 6:

[0602] The terminal presents a virtual space to the user through a display device. The user can visually experience the displayed virtual space. The input is virtual space data, and the output is a visual and auditory presentation of the virtual environment.

[0603] Step 7:

[0604] The user manipulates digital elements in the virtual space using hand gestures and voice commands. In this step, an interface is provided for the user to interact. The input is the user's input (hand gestures, voice commands), and the output is the change of digital elements in the virtual space.

[0605] 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.

[0606] 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.

[0607] 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.

[0608] [Fourth Embodiment]

[0609] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0610] 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.

[0611] 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).

[0612] 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.

[0613] 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.

[0614] 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).

[0615] 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.

[0616] 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.

[0617] 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.

[0618] 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.

[0619] 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.

[0620] 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.

[0621] 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".

[0622] This invention relates to a system that scans the real-world environment and automatically generates a virtual space based on that data. The system consists of an optical sensor, a digital processing unit, and a user interface. The user-worn device is equipped with an optical sensor for scanning the real world. This sensor detects the physical characteristics of the surroundings while the user moves, acquiring detailed environmental data of the real world.

[0623] This data is transmitted from the terminal to a digital processing unit. The terminal analyzes the received data and has the means to generate a virtual space corresponding to the real world using a computational algorithm. The generated virtual space can be customized according to the user's preferences, for example, by changing its style to Japanese or Western. This allows the user to experience an integrated environment that digitally mimics the real world.

[0624] The server sends the generated virtual space back to the terminal, allowing the user to visually perceive the integrated world of reality and virtuality through the display device. This display device is used to overlay virtual digital objects onto the physical environment. Users can move virtual objects with hand movements and select functions with eye-tracking, resulting in an interactive and intuitive user experience.

[0625] As a concrete example, when a user is in an office, sensors scan the positions of desks, chairs, and walls, and a virtual space is generated based on this data. Digital whiteboards and screens are added to this virtual space, allowing users to visually manipulate useful information in a way that extends their real-world office environment. In this way, a virtual space closely linked to the real world is provided, creating a more fulfilling work environment.

[0626] The following describes the processing flow.

[0627] Step 1:

[0628] The optical sensors on the device worn by the user are activated and begin scanning the surrounding environment as the user walks around the office space. The sensors record the shape and position of walls, furniture, and other objects with high precision.

[0629] Step 2:

[0630] The terminal processes scanned data in real time, converting environmental information into a digital format. It removes noise from the data, extracts only the necessary information, and prepares it for transmission to a digital processing unit.

[0631] Step 3:

[0632] The terminal sends the converted data to the server via the internet. The server analyzes the received data and begins calculations for generating the virtual space.

[0633] Step 4:

[0634] The server generates a virtual space consistent with the real world based on the data. Since the calculations also take into account user preferences (such as design style and color scheme), the virtual space is customized to the user's needs.

[0635] Step 5:

[0636] The generated virtual space data is then sent back from the server to the terminal. The terminal uses this data to prepare to overlay virtual objects onto the user's field of view.

[0637] Step 6:

[0638] The display device on the terminal integrates the virtual space with the real world, allowing the user to experience a mixed reality where virtual objects appear as if they exist in the actual environment.

[0639] Step 7:

[0640] Users can move and resize displayed virtual objects using hand movements and gaze. This allows users to adjust and optimize the layout of the virtual space to suit their needs.

[0641] (Example 1)

[0642] 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".

[0643] Seamlessly integrating the real and virtual worlds requires processing complex sensor data, real-time calculations on miniaturized devices, and user-friendly interface technology. However, conventional technologies have struggled to integrate detailed environmental understanding, virtual space generation, and user interaction. Therefore, there is a need to achieve this and provide an interactive integrated environment that users can operate intuitively and efficiently.

[0644] 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.

[0645] In this invention, the server includes means for acquiring data using sensors to obtain the physical properties of the real space, means for transmitting the acquired data to a processing unit via wireless communication technology, and means for analyzing the data received by the processing unit and generating a virtual space using a generative AI model. This enables the user to intuitively operate a seamless interactive environment that integrates reality and virtuality.

[0646] "Real space" refers to a three-dimensional environment that users directly perceive and that physically exists.

[0647] "Physical properties" refer to the specific characteristics of a substance in a real-world environment, such as its shape, position, and dimensions.

[0648] A "sensor" is a device used to acquire the physical characteristics of the environment, and includes those that use optical methods.

[0649] "Means of data acquisition" refers to the process of collecting information from the real world using sensors.

[0650] "Wireless communication technology" refers to methods of transmitting information over long distances using radio waves, and includes wireless networks.

[0651] A "processing device" is a computing device that receives data, analyzes it, and generates a virtual space.

[0652] "Analysis" is the process of thoroughly examining received data and interpreting its meaning.

[0653] A "generative AI model" is an artificial intelligence algorithm used to construct and generate a virtual space from input data.

[0654] A "virtual space" is an artificial environment created using digital technology that is based on reality but does not physically exist.

[0655] A "display device" is a visual interface used to present a generated virtual space to the user.

[0656] "Overlay display" is a technology that visualizes virtual information by superimposing it onto the real world.

[0657] A "user" is the entity that operates the integrated environment of real and virtual space within this system.

[0658] "Gesture and eye-tracking input" refers to methods of controlling an interface using the user's hand or eye movements.

[0659] A "storage device" is a device that stores digital data and makes it available for reuse as needed.

[0660] This invention relates to a system for generating virtual spaces that allow users to have a richer experience of the real world. Specific embodiments thereof are described below.

[0661] Hardware configuration:

[0662] The user wears a mobile device equipped with sensors. These sensors acquire physical properties of the real world and collect data. The acquired data is transmitted to a server via wireless communication technology. The server contains a powerful processing unit on which a generative AI model is run to analyze the received data. Finally, the generated virtual space is displayed on the user's display device, such as an AR headset or smart glasses.

[0663] Software configuration:

[0664] On the server, calculations are performed using a generative AI model. This model dynamically generates a virtual space based on the received data. The theme and style of the virtual space are customized according to the user's prompts. These prompts include specific instructions, such as "add a digital whiteboard to the office environment."

[0665] Specific examples and prompt statements:

[0666] For example, as a user walks around the office, sensors scan the surrounding walls and desks, and the data is sent to a server. There, a generative AI model analyzes the data in real time, and a virtual office is instantly constructed. The user can add specific items to this virtual space using prompts. Examples of specific prompts include "Place a bookshelf behind the desk" and "Add a monitor to the meeting room."

[0667] The virtual space created in this way responds to user input and allows for interactive control of digital objects. This enables users to leverage an integrated environment of reality and virtuality to improve work efficiency.

[0668] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0669] Step 1:

[0670] The user uses a portable device equipped with sensors to collect data on the surrounding physical environment. Inputs include the physical characteristics of the environment, such as the shape and location of objects. The sensors scan this data, convert it into a digital format, and output it.

[0671] Step 2:

[0672] The terminal transmits environmental data obtained from the user to a server via wireless communication technology (e.g., Wi-Fi or Bluetooth). Here, the input is digital data collected by sensors, and the output is environmental information transferred to the server. The data is compressed to enable rapid transmission.

[0673] Step 3:

[0674] The server analyzes the received environmental data. In this process, environmental information is supplied as input to an AI algorithm, and a digital processing unit analyzes the data. As output, a virtual space foundation is formed based on the analysis results. In its specific operation, the generated AI model combines the subdivided data to perform precise 3D modeling.

[0675] Step 4:

[0676] The server receives prompts from the user and generates and customizes the virtual space. The input is a prompt that embodies the user's instructions, and the output is the customized virtual space. The generation AI model incorporates virtual objects and themes into the space according to the user's requests.

[0677] Step 5:

[0678] The server returns the generated, customized virtual space data to the terminal. The input is the analyzed virtual space model, and the output is a data structure for visualizing it. The terminal distributes the received data to the user's display device.

[0679] Step 6:

[0680] The user visually perceives and interacts with the virtual space through a display device. The input consists of displayed virtual objects, and the output is the user's actions within the space, generated by gestures and eye-tracking. Specifically, the user can move, select, and modify digital objects using hand and eye movements.

[0681] This process will create an interactive environment where reality and virtual reality merge, allowing users to manipulate the space efficiently and intuitively.

[0682] (Application Example 1)

[0683] 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".

[0684] There is a need to accurately reproduce real-world environments in virtual space and provide users with an interactive experience where they can select and purchase products without being restricted by physical limitations. This invention aims to realize a means for users to easily select and purchase products in a virtual space that mimics a real store, using eye movements and actions.

[0685] 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.

[0686] In this invention, the server includes means for acquiring information about the real-world environment using optical sensors, means for automatically generating a virtual scene based on the information received by the information processing device, and means for selecting and purchasing products using the user's gaze and actions. This makes it possible for users to enjoy a similar shopping experience in a virtual space while still being in a physical store.

[0687] The "real-world environment" refers to the physical space in which the user exists and the objects within it; this information is what will be acquired and analyzed.

[0688] An "optical sensor" is a device that uses light to acquire information about the surrounding environment and objects, and can collect data such as distance, shape, and color.

[0689] An "information processing device" refers to a computer system that analyzes acquired data and performs necessary calculations and data transformations.

[0690] A "virtual scene" is a digital space generated based on information from the real world, a virtual environment recreated for user interaction.

[0691] A "display device" is a device that visually outputs a virtual scene to the user, and includes devices such as AR / VR headsets and displays.

[0692] "User input" refers to instructions or actions given by the user to the system, including gestures and eye movements.

[0693] A "digital object" is an electronically generated object or information that exists within a virtual scene and can be manipulated by the user.

[0694] "Eye-gaze control" is an input method in which users operate devices and systems using eye movements, and it is a control technology that allows users to convey their intentions through the position and movement of their gaze.

[0695] "Action" refers to a physical movement performed by a user, and it is the element that allows the system to recognize it as input and execute the corresponding action.

[0696] "Product selection and purchase methods" refer to the means by which users can view product information within a virtual environment and interact to decide on a purchase.

[0697] The system realizing this invention includes an optical sensor, an information processing device, a display device, and a user interface. The server scans the real-world environment using an optical sensor such as the AKASO V50 Pro and collects information. The collected information is analyzed by the information processing device, and data processing and calculations are performed using OpenCV.

[0698] The information processing device automatically generates a virtual scene using virtual environment generation software such as Unity or Unreal Engine based on this data. The user then visually experiences the generated virtual scene using a display device such as Oculus Quest. In this process, technologies such as ARKit and ARCore are utilized to allow intuitive manipulation of digital objects within the virtual scene through eye movements and gestures.

[0699] As a concrete example, users can access a realistic bookstore from the comfort of their homes. In this virtual bookstore, users can select specific books with their eyes and turn pages with hand movements. Furthermore, they can easily complete the purchase process by confirming the book they want to buy with their eyes.

[0700] An example of a prompt for a generative AI model would be: "How can we scan a real bookstore and build a 360-degree virtual bookstore based on that data? Also, what technologies should we use to create a system where users visiting that store can freely browse and purchase products?"

[0701] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0702] Step 1:

[0703] The server uses optical sensors to scan the real-world environment and acquire data that describes its physical characteristics. This data includes information such as the position, shape, and color of surrounding objects. The input is environmental data from the optical sensors, and the output is scanned real-world data.

[0704] Step 2:

[0705] The server transmits the acquired environmental data to the information processing device. The information processing device uses the OpenCV library to analyze the image data and perform object recognition and understanding of the environmental structure. The input is real-world data obtained from step 1, and the output is analyzed environmental feature information. During this process, data noise reduction and feature extraction are performed.

[0706] Step 3:

[0707] The information processing device automatically generates a virtual scene using Unity or Unreal Engine based on the analyzed environmental feature information. The data is constructed as 3D models of objects and environment maps. The input is the analysis results from step 2, and the output is digitized virtual scene data.

[0708] Step 4:

[0709] The user accesses a virtual scene generated using a display device. The server utilizes ARKit and ARCore technologies to implement a mechanism for detecting the user's gaze and gestures. The input is the user's gaze and movement information, and the output is the interaction result (for example, the state in which a specific object is selected). This process allows the user to intuitively manipulate digital objects within the virtual scene.

[0710] Step 5:

[0711] Once a user finishes their actions in the virtual environment, the server saves their behavioral data. This allows for the recording of important user behavior information to improve future experiences. The input is user behavior data within the virtual environment, and the output is the saved user behavior log data.

[0712] 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.

[0713] This invention is a system that integrates the real world into a digital platform and further recognizes the user's emotional state and reflects it in a virtual space. This system consists of an optical sensor, a digital processing unit, an emotion engine, and a display device. The terminal worn by the user is equipped with an optical sensor that scans the environment and an emotion engine that detects physiological indicators to recognize the user's emotions.

[0714] The device first scans the real-world space where the user is located using optical sensors to acquire detailed physical environment data. Simultaneously, the emotion engine measures the user's physiological indicators, collecting data such as stress levels and heart rate. This data is used to estimate the user's emotional state.

[0715] Environmental and emotional data collected by the device are sent to a digital processing unit. The server analyzes this data and automatically generates a virtual space that corresponds to the real world. In this process, the style and experience of the virtual space are customized according to the user's emotional state. For example, if the user is relaxed, calming colors and sound effects are prioritized, while if they are stressed, a refreshing virtual landscape is displayed.

[0716] The generated virtual space data is sent back to the terminal and presented to the user through a display device. The user can not only visually experience this integrated reality-virtual space, but can also dynamically manipulate digital objects through hand gestures and voice commands.

[0717] For example, when a user uses this system in their home study, sensors scan the room's furniture and walls, and an emotion engine recognizes the user's relatively high stress level. Based on this information, a virtual space is generated, and a calming landscape, like being in a forest, unfolds before the user's vision. The user can manipulate virtual books and items with hand movements, enabling them to work in a relaxed environment.

[0718] Thus, the present invention, which utilizes an emotion engine, can provide an optimal virtual experience that takes into account the user's emotions and the situation in the real world, thereby realizing a more human-centered interface.

[0719] The following describes the processing flow.

[0720] Step 1:

[0721] The optical sensors on the device worn by the user activate and scan the real-world space in which the user is located. The device acquires the position and shape of walls, furniture, and other physical objects as digital data.

[0722] Step 2:

[0723] The device's built-in emotion engine activates and monitors physiological indicators to recognize the user's emotional state. This includes heart rate, skin electrical responses, and facial expression analysis, collecting data to comprehensively estimate the user's emotions.

[0724] Step 3:

[0725] The terminal temporarily stores acquired environmental and emotional data and transmits it to a digital processing unit. The server analyzes this data and generates a virtual space tailored to the user's preferences and emotional state.

[0726] Step 4:

[0727] Based on the analysis results, the server automatically generates a virtual space that is consistent with the real world. This virtual space incorporates designs and sound effects tailored to the user's emotional state, and is adjusted to allow the user to relax or feel energized.

[0728] Step 5:

[0729] The virtual space data generated by the server is then sent back to the terminal. The terminal then displays this virtual space as an overlay on the real environment via the user interface.

[0730] Step 6:

[0731] Users experience an integrated reality-virtual space through sight and hearing. In this integrated space, users can move and customize virtual objects using hand movements and voice commands.

[0732] Step 7:

[0733] When a user ends an emotion-based experience, the device can save the new emotion data and usage patterns to its storage. This data is then used to optimize future experiences.

[0734] (Example 2)

[0735] 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".

[0736] When integrating the real world and virtual environments, it is common practice to provide a uniform virtual experience without considering the user's emotional state, making it difficult to achieve an experience optimized for individual users. In particular, it is necessary to provide a virtual experience that takes the user's mental well-being into consideration.

[0737] 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.

[0738] In this invention, the server includes means for acquiring data from the environment using sensors, means for estimating the user's emotional state and customizing the virtual environment according to that state, and means for presenting the generated virtual environment on a display device. This makes it possible to provide an optimal virtual experience according to the user's emotional state and realize an immersive experience tailored to each individual user.

[0739] "Environment" refers to the actual physical space and the elements present within it, including all physical and visual characteristics surrounding the user under specific circumstances.

[0740] A "sensor" is a device that detects information about the physical environment and acquires it in digital format, and includes those with optical detection capabilities.

[0741] "Data acquisition" refers to the process of collecting physical and physiological information using sensors and converting it into a format that can be used for subsequent processing.

[0742] A "processing device" is a device that receives digital information, analyzes and converts it, and generates new information or commands.

[0743] A "virtual environment" refers to an alternative environment created using digital technology that is different from the real world but can be experienced visually and aurally.

[0744] "Emotional state" refers to the psychological and emotional state of a user at a specific point in time, estimated based on their physiological data.

[0745] "Customization" refers to the process of adjusting the configuration and elements of a virtual environment according to the user's specific requirements or circumstances.

[0746] A "display device" is a device used to visually present a generated virtual environment, and includes displays and head-mounted displays.

[0747] This invention is a system that integrates the real world into a digital platform and recognizes the user's emotional state, reflecting it in a virtual environment. The system mainly consists of sensors that scan the environment, a processing unit that analyzes the data, an engine for recognizing emotions, and a display device that presents the virtual environment.

[0748] The device is equipped with optical sensors and an emotion engine, which scan the user's environment in real time. The optical sensors capture the room's structure and objects in 3D and store it as visual data. Meanwhile, the emotion engine detects physiological indicators such as the user's heart rate and skin electrical responses to estimate the user's emotional state in real time.

[0749] This data is transmitted to the server through the interface. The server uses a generative AI model to analyze the received data and generate a virtual environment that corresponds to the real physical environment and the user's emotional state. This virtual environment is optimized for the user's emotions, providing a tranquil landscape when relaxed and a refreshing space when stressed.

[0750] The generated virtual environment is sent back to the terminal and presented to the user through the display device. The user can visually experience this virtual environment and dynamically manipulate virtual objects using hand movements and voice commands. This interaction provides a more personalized digital experience that responds to the user's emotional state.

[0751] For example, when a user uses this system at home, the terminal scans the furniture and wall art in the room, and the emotion engine detects the user's high stress level. Based on this information, the server generates a tranquil virtual space such as a forest or riverside as a landscape and presents it to the user. The user can enjoy a relaxing atmosphere by placing virtual items with their hands and changing the background music with voice commands.

[0752] An example of a prompt to input into the generating AI model is, "Please describe the characteristics of a calm virtual environment suitable for a user who is relaxed." This prompt allows the AI ​​to automatically determine a virtual environment style that matches the user's emotional state.

[0753] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0754] Step 1:

[0755] The device uses optical sensors to scan the user's surroundings. Specifically, the sensors acquire physical shape and color information to generate a 3D model. The input is the physical environment, and the output is detailed 3D environment data. This data includes information on the placement of objects and the layout of the room.

[0756] Step 2:

[0757] Simultaneously, the device uses an emotion engine to detect the user's physiological indicators. Specifically, it monitors heart rate, skin electrical responses, and other parameters in real time, using the user's physiological data as input. The output is an estimate of the user's emotional state, including information on whether they are relaxed or stressed.

[0758] Step 3:

[0759] The terminal transmits the collected environmental and sentiment data to the server. Specifically, the terminal performs data format conversion and supplies the data to the digital processing unit via the network. The input is the converted environmental and sentiment data, and the output is the dataset transmitted to the server.

[0760] Step 4:

[0761] The server analyzes the received data and generates a virtual environment using a generative AI model. In this process, the AI ​​model analyzes the data based on prompts and designs a virtual space that matches the user's emotional state. The input is a pre-processed dataset and prompts, and the output is customized virtual environment data.

[0762] Step 5:

[0763] The server sends the generated virtual environment data back to the terminal. Specifically, it uses data compression and transfer protocols to efficiently deliver the data to the terminal. The input is the virtual environment data, and the output is the data delivered to the terminal.

[0764] Step 6:

[0765] The terminal presents a virtual environment to the user through a display device. Specifically, the terminal uses display technology to visually render the virtual space and provide it to the user. The input is the received virtual environment data, and the output is the user's visual experience of the virtual environment.

[0766] Step 7:

[0767] Users manipulate virtual objects using hand movements and voice commands. Specifically, the terminal's sensors detect hand gestures and voice commands, analyze this information, and control the digital objects. The input is the user's operation instructions, and the output is the dynamic change of objects in the virtual space.

[0768] (Application Example 2)

[0769] 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".

[0770] Until now, systems that reflect users' emotions in the real world in a virtual environment in real time and provide personalized experiences tailored to each user have not been sufficiently realized. This invention aims to solve the problem of dynamically adjusting the virtual space according to the user's emotional state and providing the user with the optimal digital environment.

[0771] 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.

[0772] In this invention, the server includes means for acquiring data from the physical environment of the real world using optical sensors, means for transmitting the acquired data and the user's physiological indicators to a digital processing device, and means for automatically generating a virtual space based on the environmental data and emotional data received by the digital processing device. This makes it possible to generate a virtual environment that reflects the user's emotional state in real time and provide the user with an experience tailored to their individual needs.

[0773] "The physical environment of the real world" refers to the real physical space in which the user currently exists, and includes elements such as furniture, walls, and lighting.

[0774] An "optical sensor" is a type of imaging device used to convert the physical environment into digital data.

[0775] "Digital processing equipment" refers to a computer system that analyzes received data and generates a virtual space.

[0776] "Physiological indicators" are data that indicates the user's physical condition, and include heart rate, skin electrical activity, body temperature, etc.

[0777] A "virtual space" is a space constructed as a digital environment, which is provided visually and audibly in response to the user's real-world environment.

[0778] A "display device" is a device used to visually present a virtual space to the user, and includes smart glasses and displays.

[0779] "User selection input" refers to selection information obtained from user actions and interfaces.

[0780] "Digital elements" refer to objects and interfaces that users can interact with within a virtual space.

[0781] A "storage device" is a recording medium used to store generated data and reuse it as needed.

[0782] The system necessary to implement this invention is primarily based on the interaction of a user, a terminal, and a server. The user wears smart glasses, and this terminal is equipped with optical sensors and an emotion engine. The optical sensors scan the physical environment of the real world and convert it into digital data. The emotion engine analyzes the user's emotional state in real time by measuring physiological indicators such as heart rate and skin electrical activity.

[0783] The device sends this data to a server, which is a digital processing device. The server uses machine learning frameworks such as TensorFlow to automatically generate a virtual space based on the user's emotional state. This virtual space is customized to correspond to the user's specific emotional state; for example, a tranquil landscape is generated when the user is relaxed, and a soothing landscape is generated when the user is stressed.

[0784] The display device provides the user with a visual and auditory representation of the generated virtual space. The user can interact with digital elements within the virtual space using hand gestures and voice commands.

[0785] As a concrete example, consider a scenario where a user visits a virtual store. The terminal uses environmental sensors to acquire display data from the virtual store, and the emotion engine analyzes the user's emotions. Based on the analysis results, the server generates a store design using nature-themed interiors and soothing music. In this process, appropriate digital elements are selected according to the user's emotions, and suggestions are made to the user.

[0786] An example of a prompt for the generating AI model is: "If the user's stress level is determined to be high, refresh the displays in the virtual store with nature motifs. Please tell us what elements should be included to create a relaxing environment."

[0787] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0788] Step 1:

[0789] The device uses optical sensors to scan the real-world physical environment and acquire environmental data. This data includes information about surrounding objects and their arrangement. The input is the physical environment, and the output is environmental data in digital format.

[0790] Step 2:

[0791] The device uses an emotion engine to measure the user's physiological indicators. This acquires data such as the user's heart rate and skin electrical activity. The input is the user's physiological state, and the output is data indicating the user's emotional state.

[0792] Step 3:

[0793] The terminal transmits the acquired environmental and emotional data to a server, which is a digital processing device. The input is environmental and emotional data, and the output is the transmission of data to the server.

[0794] Step 4:

[0795] The server analyzes the received data and automatically generates a virtual space suitable for the user's emotional state using a generative AI model. In this step, themes and design elements are selected according to the emotional state. The input consists of environmental data and emotional data, and the output is customized virtual space data.

[0796] Step 5:

[0797] The server sends the generated virtual space data to the terminal. This prepares the user to experience the customized virtual space. The input is the virtual space data, and the output is the transmission of data to the terminal.

[0798] Step 6:

[0799] The terminal presents a virtual space to the user through a display device. The user can visually experience the displayed virtual space. The input is virtual space data, and the output is a visual and auditory presentation of the virtual environment.

[0800] Step 7:

[0801] The user manipulates digital elements in the virtual space using hand gestures and voice commands. In this step, an interface is provided for the user to interact. The input is the user's input (hand gestures, voice commands), and the output is the change of digital elements in the virtual space.

[0802] 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.

[0803] 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.

[0804] 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.

[0805] 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.

[0806] 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.

[0807] 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.

[0808] 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.

[0809] 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.

[0810] 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."

[0811] 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.

[0812] 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.

[0813] 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.

[0814] 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.

[0815] 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.

[0816] 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.

[0817] 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.

[0818] 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.

[0819] 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.

[0820] 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.

[0821] 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.

[0822] 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.

[0823] The following is further disclosed regarding the embodiments described above.

[0824] (Claim 1)

[0825] A method for acquiring data from the real world environment using optical sensors,

[0826] Means for transmitting acquired data to a digital processing device,

[0827] A means for automatically generating a virtual space based on data received by a digital processing device,

[0828] A means of changing the style of the virtual space based on user selection,

[0829] A means of displaying a virtual space on a display device for integrating it with the real world,

[0830] A system that includes this.

[0831] (Claim 2)

[0832] The system according to claim 1, comprising means for detecting user input and dynamically controlling digital objects in a virtual space.

[0833] (Claim 3)

[0834] The system according to claim 1, comprising means for storing the generated virtual space data in a storage device and making it reusable for subsequent use.

[0835] "Example 1"

[0836] (Claim 1)

[0837] A means of acquiring data using sensors to obtain the physical properties of the real space,

[0838] A means for transmitting acquired data to a processing unit via wireless communication technology,

[0839] A means for analyzing data received by a processing unit and generating a virtual space using a generated AI model,

[0840] A means of changing the form of the virtual space based on user prompt input,

[0841] A means of using a display device to overlay a virtual space onto a physical environment,

[0842] A system that includes this.

[0843] (Claim 2)

[0844] The system according to claim 1, comprising means for detecting user gestures or eye-gaze input and for dynamically controlling objects in a virtual space.

[0845] (Claim 3)

[0846] The system according to claim 1, comprising means for storing the generated virtual space data in a device for storage and making it reusable for subsequent use.

[0847] "Application Example 1"

[0848] (Claim 1)

[0849] A means of acquiring information about the real-world environment using optical sensors,

[0850] Means for transmitting acquired information to an information processing device,

[0851] A means for automatically generating a virtual scene based on information received by an information processing device,

[0852] A means of changing the format of a virtual scene based on user selection,

[0853] A means for displaying a virtual scene on a display device for integrating it with the real world,

[0854] A means for detecting user input and dynamically controlling digital objects within a virtual scene,

[0855] A method of selecting and purchasing products using the user's eye movements and actions,

[0856] A system that includes this.

[0857] (Claim 2)

[0858] The system according to claim 1, which stores information of a generated virtual scene in a storage device and makes it reusable for subsequent use.

[0859] (Claim 3)

[0860] The system according to claim 1, which records the user's behavior history within a virtual scenario and generates information to provide an individualized experience.

[0861] "Example 2 of combining an emotion engine"

[0862] (Claim 1)

[0863] A means of acquiring data from the environment using sensors,

[0864] Means for transmitting acquired data to a processing unit,

[0865] A means for automatically generating a virtual environment based on data received by a processing unit,

[0866] A means of estimating the user's emotional state and customizing the virtual environment according to that state,

[0867] A means for presenting the generated virtual environment on a display device,

[0868] A system that includes this.

[0869] (Claim 2)

[0870] The system according to claim 1, comprising means for detecting user input and dynamically controlling digital information within a virtual environment.

[0871] (Claim 3)

[0872] The system according to claim 1, comprising means for storing information of the generated virtual environment in a storage device and making it reusable for subsequent use.

[0873] "Application example 2 when combining with an emotional engine"

[0874] (Claim 1)

[0875] A means of acquiring data from the physical environment of the real world using optical sensors,

[0876] A means for transmitting acquired data and user physiological indicators to a digital processing device,

[0877] A means for automatically generating a virtual space based on environmental data and emotional data received by a digital processing device,

[0878] A means of analyzing the user's emotional state and dynamically changing the style of the virtual space,

[0879] A means of presenting a virtual space on a display device to merge it with the situation in the real world,

[0880] A system that includes this.

[0881] (Claim 2)

[0882] The system according to claim 1, comprising means for optimizing user selection inputs based on emotional states and dynamically controlling digital elements in a virtual space.

[0883] (Claim 3)

[0884] The system according to claim 1, comprising means for storing data of a virtual space adjusted according to an emotional state in a storage device and making it reusable for subsequent uses. [Explanation of Symbols]

[0885] 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. A method for acquiring data from the real world environment using optical sensors, Means for transmitting acquired data to a digital processing device, A means for automatically generating a virtual space based on data received by a digital processing device, A means of changing the style of the virtual space based on user selection, A means of displaying a virtual space on a display device for integrating it with the real world, A system that includes this.

2. The system according to claim 1, comprising means for detecting user input and dynamically controlling digital objects in a virtual space.

3. The system according to claim 1, comprising means for storing the generated virtual space data in a storage device and making it reusable for subsequent use.

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