system

Abstract

An object of a system according to an embodiment is to visually provide sound information to a hearing-impaired person and provide a rich experience.SOLUTION: A system according to an embodiment includes a visual information providing unit, a 3D / VR content providing unit, a device-related unit, a real-time-related unit, and an API extension unit. The visual information providing unit visually provides sound information. The 3D / VR content providing unit provides a rich experience through 3D content or VR content. The device association unit is associated with a plurality of devices. The real-time response unit visually provides sound information in real time. The API extension provides an open API and enables cooperation with other applications and services.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Conventional technology provides limited means for hearing-impaired people to visually understand sound information, leaving room for improvement in providing a richer experience.

[0005] The system according to the embodiment aims to provide a rich experience to hearing-impaired people by visually providing sound information. [Means for solving the problem]

[0006] The system according to the embodiment includes a visual information providing unit, a 3D / VR content providing unit, a device support unit, a real-time support unit, and an API extension unit. The visual information providing unit visually provides sound information. The 3D / VR content providing unit provides a rich experience through 3D content or VR content. The device support unit supports multiple devices. The real-time support unit visually provides sound information in real time. The API extension unit provides an open API, enabling collaboration with other applications and services. [Effects of the Invention]

[0007] The system according to the embodiment can provide a rich experience to hearing-impaired people by visually providing sound information. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0010] First, the terms used in the following description will be explained.

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) The visual information providing system according to the embodiment of the present invention is a system that visually provides sound information to the hearing impaired and realizes a rich experience through 3D and VR content, thereby enabling the hearing impaired to visually perceive sound information and enjoy a rich experience.

[0029] A visual information provision system according to an embodiment includes a visual information provision unit, a 3D / VR content provision unit, a device support unit, a real-time support unit, and an API extension unit. The visual information provision unit visually provides sound information. For example, it displays music or conversation content as subtitles in real time. The visual information provision unit also represents the dynamics and rhythm of sound using colors and shapes. For example, on-screen graphics change in sync with the rhythm of the music. The 3D / VR content provision unit provides a rich experience through 3D content or VR content. For example, concert or theater scenes can be recreated in VR for visual enjoyment. The system also visually represents the direction and distance of sound using 3D audiovisual content. The device support unit supports multiple devices. For example, it provides an optimal display method for a user's device, such as a smartphone, tablet, PC, or VR headset. The real-time support unit visually provides sound information in real time. For example, it displays real-time subtitles for audio from a live event or conference. The graphics also change instantly in response to changes in sound. The API extension unit provides an open API, enabling integration with other applications and services. For example, the visual information provision function of the present system can be incorporated into educational and entertainment apps. As a result, the visual information provision system according to the embodiment allows hearing-impaired people to visually perceive sound information and enjoy a richer experience. For example, they can visually enjoy concerts and plays, and understand the content of meetings and lectures in real time. Furthermore, by utilizing an open API, the functions of the present system can be incorporated into various applications and services.

[0030] The visual information providing unit can display the content of music or conversation as subtitles in real time. For example, the visual information providing unit analyzes the emotion of the music using generative AI and changes the color and shape according to the emotion, such as joy or sadness. For example, warm colors are used for cheerful music and cool colors for sad music. The visual information providing unit also estimates the emotion of the conversation in real time and displays visual effects according to the emotion. For example, a red flash is displayed if anger is detected. The visual information providing unit also analyzes the emotion of the music or conversation and generates visual animations based on the emotion. For example, the background pattern or movement changes according to changes in emotion. This allows people with hearing impairments to understand the content of the music or conversation in real time.

[0031] The visual information providing unit can express the strength or rhythm of a sound using color or shape. The visual information providing unit, for example, builds a system that analyzes the frequency spectrum of a sound in real time and displays it visually. For example, the frequency components of music are displayed as a graph. The visual information providing unit also analyzes the frequency spectrum of a sound and generates visual effects based on the results. For example, if the bass sound is strong, the entire screen is vibrated. The visual information providing unit also analyzes the frequency spectrum of a sound in real time and provides an interface that displays it visually. For example, the color or shape is changed depending on the strength of the sound. This allows people with hearing impairments to visually sense the nuances of sound.

[0032] The 3D / VR content provider recreates concert or theater scenes in VR for visual enjoyment. The 3D / VR content provider, for example, builds a system that identifies the source of sound and visually displays its location. For example, it displays an arrow indicating the direction of the sound. The 3D / VR content provider also provides an interface that identifies the source of sound in real time and visually displays its location. For example, it displays an icon corresponding to the source of the sound. The 3D / VR content provider also implements a function that identifies the source of sound and visually displays its location. For example, it moves an object on the screen according to the source of the sound. This allows the hearing impaired to visually enjoy concerts and theater.

[0033] The device support unit is compatible with smartphones, tablets, PCs, and VR headsets, and can provide the optimal display method. For example, the device support unit builds a system that analyzes sound information and automatically generates sign language and gestures based on that content. For example, sign language is generated using voice recognition technology. The device support unit also provides an interface that automatically generates sign language and gestures and displays them on a screen when providing visual sound information. For example, it displays the content of a conversation in sign language. The device support unit also implements a function that analyzes sound information and automatically generates sign language and gestures based on that content. For example, it displays music lyrics in sign language. This makes it possible to provide the optimal display method to suit the device the user owns.

[0034] The real-time support unit can display subtitles for audio from a live event or conference in real time. For example, the real-time support unit builds a system that provides visual representations corresponding to different cultures and languages ​​when visually providing audio information. For example, different colors and shapes are used for each culture. The real-time support unit also provides an interface that provides subtitle display corresponding to different languages ​​when visually providing audio information. For example, subtitles in multiple languages ​​are displayed simultaneously. The real-time support unit also implements a function that provides visual representations corresponding to different cultures and languages ​​when visually providing audio information. For example, different icons and symbols are used for each culture. This allows people with hearing impairments to understand the content of a live event or conference in real time.

[0035] The API extension unit can incorporate a visual information provision function into an educational or entertainment app. For example, the API extension unit uses an emotion estimation function to build a system that provides customized visual representations according to a user's emotions. For example, if a user is happy, bright colors are used. The API extension unit also analyzes the user's emotions in real time and provides an interface that customizes visual representations based on the results. For example, if a user is surprised, an effect is added. The API extension unit also implements a function that uses the emotion estimation function to provide customized visual representations according to the user's emotions. For example, if a user is relaxed, a calm animation is displayed. This allows the functions of this system to be incorporated into a variety of applications and services.

[0036] The visual information providing unit can analyze the frequency spectrum of sound in real time and display it visually. The visual information providing unit, for example, builds a system that analyzes the frequency spectrum of sound in real time and displays it visually. For example, it displays the frequency components of music as a graph. The visual information providing unit also analyzes the frequency spectrum of sound and generates visual effects based on the results. For example, if the low-frequency sound is strong, it vibrates the entire screen. The visual information providing unit also analyzes the frequency spectrum of sound in real time and provides an interface that displays it visually. For example, it changes color or shape depending on the intensity of the sound. In this way, visually displaying the frequency spectrum of sound allows people with hearing impairments to understand the characteristics of sound.

[0037] The visual information providing unit can identify the source of a sound and visually display its location. The visual information providing unit, for example, builds a system that identifies the source of a sound and visually displays its location. For example, it displays an arrow indicating the direction of the sound. The visual information providing unit also provides an interface that identifies the source of a sound in real time and visually displays its location. For example, it displays an icon corresponding to the source of the sound. The visual information providing unit also implements a function that identifies the source of a sound and visually displays its location. For example, it moves an object on the screen according to the source of the sound. In this way, by visually displaying the source of the sound, people with hearing impairments can understand the direction of the sound.

[0038] The visual information providing unit can automatically generate sign language or gestures and visually display them. The visual information providing unit, for example, builds a system that analyzes sound information and automatically generates sign language or gestures based on the content. For example, sign language is generated using voice recognition technology. Furthermore, when visually providing sound information, the visual information providing unit automatically generates sign language or gestures and provides an interface that displays them on a screen. For example, the content of a conversation is displayed in sign language. Furthermore, the visual information providing unit implements a function that analyzes sound information and automatically generates sign language or gestures based on the content. For example, music lyrics are displayed in sign language. In this way, visually providing sound information using sign language or gestures makes it easier for people with hearing impairments to understand the information.

[0039] The visual information providing unit can provide visual representations corresponding to different cultures or languages. For example, when visually providing sound information, the visual information providing unit builds a system that provides visual representations corresponding to different cultures or languages. For example, different colors and shapes are used for each culture. Furthermore, when visually providing sound information, the visual information providing unit provides an interface that provides subtitle display corresponding to different languages. For example, subtitles in multiple languages ​​are displayed simultaneously. Furthermore, when visually providing sound information, the visual information providing unit implements a function that provides visual representations corresponding to different cultures or languages. For example, different icons and symbols are used for each culture. This allows for the provision of visual representations corresponding to different cultures and languages, making it possible for a wider range of users to use the system.

[0040] The 3D / VR content providing unit can simulate and visually represent sound reflection or absorption. For example, the 3D / VR content providing unit constructs a system that simulates sound reflection or absorption within 3D or VR content and visually displays the results. For example, it displays ripples that indicate sound reflection. The 3D / VR content providing unit also simulates sound reflection or absorption in real time and provides an interface that visually represents the results. For example, it displays dark areas that indicate sound absorption. The 3D / VR content providing unit also implements a function that simulates sound reflection or absorption within 3D or VR content and visually represents the results. For example, it adds a light effect that indicates sound reflection. This visual representation of sound reflection or absorption allows people with hearing impairments to understand the characteristics of sound.

[0041] The 3D / VR content providing unit can visually display sound waveforms, allowing users to understand the characteristics of the sound. For example, the 3D / VR content providing unit builds a system that visually displays sound waveforms within 3D or VR content. For example, it provides a graph that displays sound waveforms in real time. The 3D / VR content providing unit also analyzes sound waveforms in real time and provides an interface that visually displays the results. For example, it changes the height of the waveform depending on the intensity of the sound. The 3D / VR content providing unit also implements a function that visually displays sound waveforms within 3D or VR content, allowing users to understand the characteristics of the sound. For example, it indicates the frequency components of the sound with colors. This allows people with hearing impairments to understand the characteristics of the sound by visually displaying the sound waveforms.

[0042] The 3D / VR content providing unit can simulate different environments or scenarios and provide them visually. The 3D / VR content providing unit, for example, builds a system that simulates and visually provides different environments and scenarios within 3D or VR content. For example, it recreates urban or natural environments. The 3D / VR content providing unit also provides an interface that simulates different scenarios in real time and visually provides the results. For example, it simulates the change between day and night. The 3D / VR content providing unit also implements a function that simulates and visually provides different environments and scenarios within 3D or VR content. For example, it recreates different seasons or weather. This allows the visual provision of different environments and scenarios to enable hearing-impaired people to enjoy a variety of experiences.

[0043] The 3D / VR content providing unit can provide a visual sound experience that the user can interact with. The 3D / VR content providing unit, for example, builds a system that provides a visual sound experience that the user can interact with within 3D or VR content. For example, the sound waveform is manipulated to change the sound. The 3D / VR content providing unit also provides an interface that provides a visual sound experience that the user can interact with. For example, the visual effect is changed by changing the direction of the sound. The 3D / VR content providing unit also implements a function that provides a visual sound experience that the user can interact with. For example, the visual display is changed by adjusting the volume of the sound. This provides a visual sound experience that the user can interact with, thereby providing a more immersive experience.

[0044] The device support unit can use generative AI to learn the usage status of each device and provide the optimal display method. For example, the device support unit uses generative AI to build a system that learns the usage status of each device and provides the optimal display method. For example, it provides a simple display on a smartphone and a detailed display on a PC. The device support unit also analyzes the usage status of each device in real time and provides an interface that offers the optimal display method based on the results. For example, it provides a display optimized for touch operation on a tablet. The device support unit also implements a function that learns the usage status of each device and provides the optimal display method. For example, it displays 3D content on a VR headset. This allows the system to learn the usage status of each device and provide the optimal display method, allowing users to use any device comfortably.

[0045] The device support unit can realize seamless data synchronization between devices, allowing users to enjoy the same experience on any device. For example, the device support unit builds a system that realizes seamless data synchronization between devices, allowing users to enjoy the same experience on any device. For example, content started on a smartphone can be continued on a PC. The device support unit also performs real-time data synchronization between devices, providing an interface that allows users to enjoy the same experience on any device. For example, operations on a tablet are instantly reflected on a PC. The device support unit also implements a function that realizes seamless data synchronization between devices, allowing users to enjoy the same experience on any device. For example, the experience on a VR headset can be synchronized to a smartphone. This realizes seamless data synchronization between devices, allowing users to enjoy the same experience on any device.

[0046] The device support unit can provide customized visual representations according to the characteristics of the device. The device support unit, for example, builds a system that provides customized visual representations according to the characteristics of the device. For example, a simple design is provided for a smartphone, while a detailed design is provided for a PC. The device support unit also analyzes the characteristics of the device in real time and provides an interface that provides customized visual representations based on the results. For example, a design optimized for touch operation is provided for a tablet. The device support unit also implements a function that provides customized visual representations according to the characteristics of the device. For example, 3D content is displayed on a VR headset. This allows users to enjoy an optimal experience on any device by providing customized visual representations according to the characteristics of the device.

[0047] The device support unit can also support new devices such as wearable devices or smart glasses. For example, when supporting multiple devices, the device support unit builds a system that supports new devices such as wearable devices and smart glasses. For example, it receives notifications on a smart watch. The device support unit also provides an interface for supporting new devices, allowing users to use the system on various devices. For example, it displays visual information on smart glasses. The device support unit also implements functions that support new devices such as wearable devices and smart glasses. For example, it transmits sound information through vibrations on a smart watch. This allows users to use the system on various devices by supporting new devices such as wearable devices and smart glasses.

[0048] The device support unit can automatically detect user movement between devices and provide the optimal display method. The device support unit, for example, builds a system that automatically detects user movement between devices and provides the optimal display method. For example, it automatically adjusts the display when moving from a smartphone to a PC. The device support unit also detects user movement in real time and provides an interface that provides the optimal display method based on the results. For example, it automatically adjusts the display when moving from a tablet to a VR headset. The device support unit also implements a function that automatically detects user movement between devices and provides the optimal display method. For example, it automatically adjusts the display when moving from a smartwatch to a smartphone. This automatically detects user movement between devices and provides the optimal display method, allowing users to use the system comfortably on any device.

[0049] The real-time response unit can analyze changes in sound in real time and display them visually. The real-time response unit, for example, builds a system that analyzes changes in sound in real time and visually displays the results. For example, it changes graphics according to the volume of the sound. The real-time response unit also analyzes changes in sound in real time and provides an interface that visually displays the results. For example, it changes color according to the frequency components of the sound. The real-time response unit also implements a function that analyzes changes in sound in real time and visually displays the results. For example, it generates animation according to the rhythm of the sound. In this way, sound changes can be analyzed in real time and visually displayed, allowing people with hearing impairments to understand changes in sound.

[0050] The real-time response unit can identify the source of a sound in real time and visually display its location. The real-time response unit, for example, builds a system that identifies the source of a sound in real time and visually displays its location. For example, it displays an arrow indicating the direction of the sound. The real-time response unit also provides an interface that identifies the source of a sound in real time and visually displays its location. For example, it displays an icon corresponding to the source of the sound. The real-time response unit also implements a function that identifies the source of a sound in real time and visually displays its location. For example, it moves an object on the screen according to the source of the sound. In this way, the source of a sound can be identified in real time and its location visually displayed, allowing people with hearing impairments to understand the direction of the sound.

[0051] The real-time support unit can provide real-time subtitle display corresponding to different languages ​​or cultures. The real-time support unit, for example, builds a system that provides real-time subtitle display corresponding to different languages ​​and cultures. For example, it displays subtitles in multiple languages ​​simultaneously. The real-time support unit also provides an interface that provides real-time subtitle display corresponding to different languages ​​and cultures. For example, it uses different fonts and colors for each culture. The real-time support unit also implements a function that provides real-time subtitle display corresponding to different languages ​​and cultures. For example, it uses different icons and symbols for each language. This allows real-time subtitle display corresponding to different languages ​​and cultures to be available to a wider range of users.

[0052] The real-time response unit can provide a real-time visual representation that the user can operate interactively. The real-time response unit, for example, builds a system that provides a real-time visual representation that the user can operate interactively. For example, the sound waveform is manipulated to change the sound. The real-time response unit also provides an interface that provides a real-time visual representation that the user can operate interactively. For example, the visual effect is changed by changing the direction of the sound. The real-time response unit also implements a function that provides a real-time visual representation that the user can operate interactively. For example, the visual display is changed by adjusting the volume of the sound. In this way, a more immersive experience can be provided by providing a real-time visual representation that the user can operate interactively.

[0053] The API extension unit can optimize collaboration with other applications or services using the generation AI. For example, the API extension unit builds a system that optimizes collaboration with other applications and services using the generation AI. For example, it collaborates with an educational app to provide real-time subtitle display. The API extension unit also provides an interface for optimizing collaboration with other applications and services. For example, it collaborates with an entertainment app to provide visual effects. The API extension unit also implements a function that optimizes collaboration with other applications and services using the generation AI. For example, it collaborates with a business app to provide real-time subtitle display for meetings. This optimizes collaboration with other applications and services, thereby improving the scalability of the system.

[0054] The API extension unit can monitor API usage in real time and provide optimal performance. For example, the API extension unit builds a system that monitors API usage in real time and provides optimal performance. For example, it monitors API response time and adjusts resources as necessary. The API extension unit also analyzes API usage in real time and provides an interface that provides optimal performance based on the results. For example, it automatically scales when the API load is high. The API extension unit also implements a function that monitors API usage in real time and provides optimal performance. For example, it monitors API error rates and sends an alert if a problem occurs. As a result, the reliability of the system is improved by monitoring API usage in real time and providing optimal performance.

[0055] The API extension unit can strengthen API security and provide secure integration. For example, the API extension unit builds a system that strengthens API security and provides secure integration. For example, it implements authentication using API keys and tokens. The API extension unit also monitors API security in real time and provides an interface that responds immediately when a problem occurs. For example, it sends an alert when unauthorized access is detected. The API extension unit also implements functions that strengthen API security and provide secure integration. For example, it introduces data encryption and access control. This strengthens API security and provides secure integration, improving the reliability of the system.

[0056] The API extension unit can provide APIs that correspond to different industries or applications. For example, the API extension unit builds a system that provides APIs that correspond to different industries or applications. For example, it develops APIs specialized for fields such as education, entertainment, and business. The API extension unit also provides an interface for providing APIs that correspond to different industries or applications. For example, it supports different functions and data formats for each industry. The API extension unit also implements a function that provides APIs that correspond to different industries or applications. For example, it provides a data analysis API specialized for the medical field. This improves the scalability of the system by providing APIs that correspond to different industries and applications.

[0057] The API extension unit can provide API usage examples or sample code, making it easier for developers to use. For example, the API extension unit builds a system that provides API usage examples and sample code, making it easier for developers to use. For example, it posts sample code in official documentation. The API extension unit also provides an interface for providing API usage examples and sample code. For example, it opens a portal site for developers and makes the sample code available for download. The API extension unit also implements a function that provides API usage examples and sample code, making it easier for developers to use. For example, it provides a tutorial that explains how to use the API. By providing API usage examples and sample code, developers can use it easily.

[0058] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0059] The visual information providing unit can also analyze sound information and automatically generate sign language or gestures based on the content. For example, sign language can be generated using voice recognition technology and displayed on the screen. It can also display music lyrics in sign language. It can also provide an interface that displays the content of conversations in sign language. This allows people with hearing impairments to visually understand sound information through sign language and gestures.

[0060] The visual information providing unit can analyze the frequency spectrum of sound in real time and generate visual effects based on the results. For example, if the low-frequency sound is strong, the entire screen will vibrate. It is also possible to change the color and shape depending on the intensity of the sound. Furthermore, it can provide an interface that displays the frequency spectrum of sound as a graph. This allows people with hearing impairments to visually sense the nuances of sound.

[0061] The 3D / VR content provider can also identify the source of a sound and visually display its location. For example, it can display an arrow indicating the direction of the sound. It can also display an icon corresponding to the source of the sound. It can also move objects on the screen according to the source of the sound. This allows the hearing impaired to visually enjoy concerts and plays.

[0062] The device support unit can also analyze sound information and automatically generate sign language and gestures based on the content. For example, sign language can be generated using speech recognition technology and displayed on the screen. It can also display music lyrics in sign language. It can also provide an interface that displays the content of conversations in sign language. This allows the optimal display method to be provided to suit the user's device.

[0063] When providing visual information about sound, the real-time support unit can also provide visual representations that correspond to different cultures and languages. For example, different colors and shapes can be used for each culture. It can also display subtitles in multiple languages ​​simultaneously. It can also use different icons and symbols for each culture. This allows people with hearing impairments to understand the content of live events and meetings in real time.

[0064] The visual information providing unit can analyze the frequency spectrum of sound in real time and generate visual effects based on the results. For example, if the low-frequency sound is strong, the entire screen will vibrate. It is also possible to change the color and shape depending on the intensity of the sound. Furthermore, it can provide an interface that displays the frequency spectrum of sound as a graph. This allows people with hearing impairments to understand the characteristics of sound by visually displaying the frequency spectrum of sound.

[0065] The visual information providing unit can identify the source of a sound and visually display its location. For example, it can display an arrow indicating the direction of the sound. It can also display an icon corresponding to the source of the sound. It can also move an object on the screen according to the source of the sound. In this way, by visually displaying the source of the sound, people with hearing impairments can understand the direction of the sound.

[0066] The processing flow of the first embodiment will be briefly explained below.

[0067] Step 1: The visual information provider visually presents audio information. For example, music and conversation content is displayed as subtitles in real time. The visual information provider also expresses the dynamics and rhythm of the audio using colors and shapes, and the graphics on the screen change in sync with the rhythm of the music. Step 2: The 3D / VR content provider provides a rich experience through 3D or VR content. For example, a concert or theater scene can be recreated in VR for visual enjoyment. Also, 3D audiovisual content can be used to visually express the direction and distance of sound. Step 3: The device support section supports multiple devices, such as smartphones, tablets, PCs, and VR headsets, and provides the optimal display method for each device the user owns. Step 4: The real-time response component provides visual information about the sound in real time. For example, it displays subtitles for live events or conferences in real time. It also instantly changes graphics in response to changes in the sound. Step 5: The API extension unit provides an open API, enabling integration with other applications and services. For example, the system's visual information provision function can be incorporated into educational and entertainment applications.

[0068] (Example 2) The visual information providing system according to the embodiment of the present invention is a system that visually provides sound information to the hearing impaired and realizes a rich experience through 3D and VR content, thereby enabling the hearing impaired to visually perceive sound information and enjoy a rich experience.

[0069] A visual information provision system according to an embodiment includes a visual information provision unit, a 3D / VR content provision unit, a device support unit, a real-time support unit, and an API extension unit. The visual information provision unit visually provides sound information. For example, it displays music or conversation content as subtitles in real time. The visual information provision unit also represents the dynamics and rhythm of sound using colors and shapes. For example, on-screen graphics change in sync with the rhythm of the music. The 3D / VR content provision unit provides a rich experience through 3D content or VR content. For example, concert or theater scenes can be recreated in VR for visual enjoyment. The system also visually represents the direction and distance of sound using 3D audiovisual content. The device support unit supports multiple devices. For example, it provides an optimal display method for a user's device, such as a smartphone, tablet, PC, or VR headset. The real-time support unit visually provides sound information in real time. For example, it displays real-time subtitles for audio from a live event or conference. The graphics also change instantly in response to changes in sound. The API extension unit provides an open API, enabling integration with other applications and services. For example, the visual information provision function of the present system can be incorporated into educational and entertainment apps. As a result, the visual information provision system according to the embodiment allows hearing-impaired people to visually perceive sound information and enjoy a richer experience. For example, they can visually enjoy concerts and plays, and understand the content of meetings and lectures in real time. Furthermore, by utilizing an open API, the functions of the present system can be incorporated into various applications and services.

[0070] The visual information providing unit can display the content of music or conversation as subtitles in real time. For example, the visual information providing unit analyzes the emotion of the music using generative AI and changes the color and shape according to the emotion, such as joy or sadness. For example, warm colors are used for cheerful music and cool colors for sad music. The visual information providing unit also estimates the emotion of the conversation in real time and displays visual effects according to the emotion. For example, a red flash is displayed if anger is detected. The visual information providing unit also analyzes the emotion of the music or conversation and generates visual animations based on the emotion. For example, the background pattern or movement changes according to changes in emotion. This allows people with hearing impairments to understand the content of the music or conversation in real time.

[0071] The visual information providing unit can express the strength or rhythm of a sound using color or shape. The visual information providing unit, for example, builds a system that analyzes the frequency spectrum of a sound in real time and displays it visually. For example, the frequency components of music are displayed as a graph. The visual information providing unit also analyzes the frequency spectrum of a sound and generates visual effects based on the results. For example, if the bass sound is strong, the entire screen is vibrated. The visual information providing unit also analyzes the frequency spectrum of a sound in real time and provides an interface that displays it visually. For example, the color or shape is changed depending on the strength of the sound. This allows people with hearing impairments to visually sense the nuances of sound.

[0072] The 3D / VR content provider recreates concert or theater scenes in VR for visual enjoyment. The 3D / VR content provider, for example, builds a system that identifies the source of sound and visually displays its location. For example, it displays an arrow indicating the direction of the sound. The 3D / VR content provider also provides an interface that identifies the source of sound in real time and visually displays its location. For example, it displays an icon corresponding to the source of the sound. The 3D / VR content provider also implements a function that identifies the source of sound and visually displays its location. For example, it moves an object on the screen according to the source of the sound. This allows the hearing impaired to visually enjoy concerts and theater.

[0073] The device support unit is compatible with smartphones, tablets, PCs, and VR headsets, and can provide the optimal display method. For example, the device support unit builds a system that analyzes sound information and automatically generates sign language and gestures based on that content. For example, sign language is generated using voice recognition technology. The device support unit also provides an interface that automatically generates sign language and gestures and displays them on a screen when providing visual sound information. For example, it displays the content of a conversation in sign language. The device support unit also implements a function that analyzes sound information and automatically generates sign language and gestures based on that content. For example, it displays music lyrics in sign language. This makes it possible to provide the optimal display method to suit the device the user owns.

[0074] The real-time support unit can display subtitles for audio from a live event or conference in real time. For example, the real-time support unit builds a system that provides visual representations corresponding to different cultures and languages ​​when visually providing audio information. For example, different colors and shapes are used for each culture. The real-time support unit also provides an interface that provides subtitle display corresponding to different languages ​​when visually providing audio information. For example, subtitles in multiple languages ​​are displayed simultaneously. The real-time support unit also implements a function that provides visual representations corresponding to different cultures and languages ​​when visually providing audio information. For example, different icons and symbols are used for each culture. This allows people with hearing impairments to understand the content of a live event or conference in real time.

[0075] The API extension unit can incorporate a visual information provision function into an educational or entertainment app. For example, the API extension unit uses an emotion estimation function to build a system that provides customized visual representations according to a user's emotions. For example, if a user is happy, bright colors are used. The API extension unit also analyzes the user's emotions in real time and provides an interface that customizes visual representations based on the results. For example, if a user is surprised, an effect is added. The API extension unit also implements a function that uses the emotion estimation function to provide customized visual representations according to the user's emotions. For example, if a user is relaxed, a calm animation is displayed. This allows the functions of this system to be incorporated into a variety of applications and services.

[0076] The visual information provision unit can use generative AI to estimate the emotion of music or conversation and visually express it using colors or shapes based on the emotion. For example, the visual information provision unit analyzes the emotion of music using generative AI and changes the color or shape according to the emotion, such as joy or sadness. For example, it uses warm colors for cheerful music and cool colors for sad music. The visual information provision unit also estimates the emotion of conversation in real time and displays visual effects according to the emotion. For example, it displays a red flash if anger is detected. The visual information provision unit also analyzes the emotion of music or conversation and generates visual animations based on that emotion. For example, it changes the background pattern or movement according to changes in emotion. This visual representation of the emotion of music or conversation allows people with hearing impairments to understand the nuances of emotion.

[0077] The visual information providing unit can analyze the frequency spectrum of sound in real time and display it visually. The visual information providing unit, for example, builds a system that analyzes the frequency spectrum of sound in real time and displays it visually. For example, it displays the frequency components of music as a graph. The visual information providing unit also analyzes the frequency spectrum of sound and generates visual effects based on the results. For example, if the low-frequency sound is strong, it vibrates the entire screen. The visual information providing unit also analyzes the frequency spectrum of sound in real time and provides an interface that displays it visually. For example, it changes color or shape depending on the intensity of the sound. In this way, visually displaying the frequency spectrum of sound allows people with hearing impairments to understand the characteristics of sound.

[0078] The visual information providing unit can identify the source of a sound and visually display its location. The visual information providing unit, for example, builds a system that identifies the source of a sound and visually displays its location. For example, it displays an arrow indicating the direction of the sound. The visual information providing unit also provides an interface that identifies the source of a sound in real time and visually displays its location. For example, it displays an icon corresponding to the source of the sound. The visual information providing unit also implements a function that identifies the source of a sound and visually displays its location. For example, it moves an object on the screen according to the source of the sound. In this way, by visually displaying the source of the sound, people with hearing impairments can understand the direction of the sound.

[0079] The visual information providing unit can automatically generate sign language or gestures and visually display them. The visual information providing unit, for example, builds a system that analyzes sound information and automatically generates sign language or gestures based on the content. For example, sign language is generated using voice recognition technology. Furthermore, when visually providing sound information, the visual information providing unit automatically generates sign language or gestures and provides an interface that displays them on a screen. For example, the content of a conversation is displayed in sign language. Furthermore, the visual information providing unit implements a function that analyzes sound information and automatically generates sign language or gestures based on the content. For example, music lyrics are displayed in sign language. In this way, visually providing sound information using sign language or gestures makes it easier for people with hearing impairments to understand the information.

[0080] The visual information providing unit can provide visual representations corresponding to different cultures or languages. For example, when visually providing sound information, the visual information providing unit builds a system that provides visual representations corresponding to different cultures or languages. For example, different colors and shapes are used for each culture. Furthermore, when visually providing sound information, the visual information providing unit provides an interface that provides subtitle display corresponding to different languages. For example, subtitles in multiple languages ​​are displayed simultaneously. Furthermore, when visually providing sound information, the visual information providing unit implements a function that provides visual representations corresponding to different cultures or languages. For example, different icons and symbols are used for each culture. This allows for the provision of visual representations corresponding to different cultures and languages, making it possible for a wider range of users to use the system.

[0081] The visual information providing unit can use the emotion estimation function to provide a customized visual representation according to the user's emotion. For example, the visual information providing unit uses the emotion estimation function to build a system that provides a customized visual representation according to the user's emotion. For example, if the user is relaxed, a calm design is provided. The visual information providing unit also analyzes the user's emotion in real time and provides an interface that provides a customized visual representation based on the results. For example, if the user is excited, an action scene is added. The visual information providing unit also uses the emotion estimation function to implement a function that provides a customized visual representation according to the user's emotion. For example, if the user is surprised, sound effects are enhanced. This makes it possible to provide a more personalized experience by providing a visual representation according to the user's emotion.

[0082] The 3D / VR content provider can use generative AI to estimate a user's emotions and provide content changes according to those emotions. For example, the 3D / VR content provider can use generative AI to estimate a user's emotions and build a system that changes the scenario of VR content according to those emotions. For example, if the user is excited, an action scene can be added. The 3D / VR content provider can also analyze a user's emotions in real time and provide an interface that changes the effects of 3D content based on the results. For example, if the user is relaxed, a calm landscape can be displayed. The 3D / VR content provider can also use generative AI to estimate a user's emotions and implement a function that customizes the audio and visual effects of VR content according to those emotions. For example, if the user is surprised, the audio effects can be enhanced. This allows for content changes according to the user's emotions, providing a more personalized experience.

[0083] The 3D / VR content providing unit can simulate and visually represent sound reflection or absorption. For example, the 3D / VR content providing unit constructs a system that simulates sound reflection or absorption within 3D or VR content and visually displays the results. For example, it displays ripples that indicate sound reflection. The 3D / VR content providing unit also simulates sound reflection or absorption in real time and provides an interface that visually represents the results. For example, it displays dark areas that indicate sound absorption. The 3D / VR content providing unit also implements a function that simulates sound reflection or absorption within 3D or VR content and visually represents the results. For example, it adds a light effect that indicates sound reflection. This visual representation of sound reflection or absorption allows people with hearing impairments to understand the characteristics of sound.

[0084] The 3D / VR content providing unit can visually display sound waveforms, allowing users to understand the characteristics of the sound. For example, the 3D / VR content providing unit builds a system that visually displays sound waveforms within 3D or VR content. For example, it provides a graph that displays sound waveforms in real time. The 3D / VR content providing unit also analyzes sound waveforms in real time and provides an interface that visually displays the results. For example, it changes the height of the waveform depending on the intensity of the sound. The 3D / VR content providing unit also implements a function that visually displays sound waveforms within 3D or VR content, allowing users to understand the characteristics of the sound. For example, it indicates the frequency components of the sound with colors. This allows people with hearing impairments to understand the characteristics of the sound by visually displaying the sound waveforms.

[0085] The 3D / VR content providing unit can simulate different environments or scenarios and provide them visually. The 3D / VR content providing unit, for example, builds a system that simulates and visually provides different environments and scenarios within 3D or VR content. For example, it recreates urban or natural environments. The 3D / VR content providing unit also provides an interface that simulates different scenarios in real time and visually provides the results. For example, it simulates the change between day and night. The 3D / VR content providing unit also implements a function that simulates and visually provides different environments and scenarios within 3D or VR content. For example, it recreates different seasons or weather. This allows the visual provision of different environments and scenarios to enable hearing-impaired people to enjoy a variety of experiences.

[0086] The 3D / VR content providing unit can provide a visual sound experience that the user can interact with. The 3D / VR content providing unit, for example, builds a system that provides a visual sound experience that the user can interact with within 3D or VR content. For example, the sound waveform is manipulated to change the sound. The 3D / VR content providing unit also provides an interface that provides a visual sound experience that the user can interact with. For example, the visual effect is changed by changing the direction of the sound. The 3D / VR content providing unit also implements a function that provides a visual sound experience that the user can interact with. For example, the visual display is changed by adjusting the volume of the sound. This provides a visual sound experience that the user can interact with, thereby providing a more immersive experience.

[0087] The 3D / VR content providing unit can use the emotion estimation function to provide a customized experience according to the user's emotions. The 3D / VR content providing unit, for example, uses the emotion estimation function to build a system that provides customized 3D or VR content according to the user's emotions. For example, if the user is relaxed, a calm landscape is displayed. The 3D / VR content providing unit also analyzes the user's emotions in real time and provides an interface that customizes 3D or VR content based on the results. For example, if the user is excited, an action scene is added. The 3D / VR content providing unit also implements a function that uses the emotion estimation function to provide customized 3D or VR content according to the user's emotions. For example, if the user is surprised, sound effects are enhanced. This allows for a more personalized experience by providing a customized experience according to the user's emotions.

[0088] The device support unit can use generative AI to learn the usage status of each device and provide the optimal display method. For example, the device support unit uses generative AI to build a system that learns the usage status of each device and provides the optimal display method. For example, it provides a simple display on a smartphone and a detailed display on a PC. The device support unit also analyzes the usage status of each device in real time and provides an interface that offers the optimal display method based on the results. For example, it provides a display optimized for touch operation on a tablet. The device support unit also implements a function that learns the usage status of each device and provides the optimal display method. For example, it displays 3D content on a VR headset. This allows the system to learn the usage status of each device and provide the optimal display method, allowing users to use any device comfortably.

[0089] The device support unit can realize seamless data synchronization between devices, allowing users to enjoy the same experience on any device. For example, the device support unit builds a system that realizes seamless data synchronization between devices, allowing users to enjoy the same experience on any device. For example, content started on a smartphone can be continued on a PC. The device support unit also performs real-time data synchronization between devices, providing an interface that allows users to enjoy the same experience on any device. For example, operations on a tablet are instantly reflected on a PC. The device support unit also implements a function that realizes seamless data synchronization between devices, allowing users to enjoy the same experience on any device. For example, the experience on a VR headset can be synchronized to a smartphone. This realizes seamless data synchronization between devices, allowing users to enjoy the same experience on any device.

[0090] The device support unit can provide customized visual representations according to the characteristics of the device. The device support unit, for example, builds a system that provides customized visual representations according to the characteristics of the device. For example, a simple design is provided for a smartphone, while a detailed design is provided for a PC. The device support unit also analyzes the characteristics of the device in real time and provides an interface that provides customized visual representations based on the results. For example, a design optimized for touch operation is provided for a tablet. The device support unit also implements a function that provides customized visual representations according to the characteristics of the device. For example, 3D content is displayed on a VR headset. This allows users to enjoy an optimal experience on any device by providing customized visual representations according to the characteristics of the device.

[0091] The device support unit can also support new devices such as wearable devices or smart glasses. For example, when supporting multiple devices, the device support unit builds a system that supports new devices such as wearable devices and smart glasses. For example, it receives notifications on a smart watch. The device support unit also provides an interface for supporting new devices, allowing users to use the system on various devices. For example, it displays visual information on smart glasses. The device support unit also implements functions that support new devices such as wearable devices and smart glasses. For example, it transmits sound information through vibrations on a smart watch. This allows users to use the system on various devices by supporting new devices such as wearable devices and smart glasses.

[0092] The device support unit can automatically detect user movement between devices and provide the optimal display method. The device support unit, for example, builds a system that automatically detects user movement between devices and provides the optimal display method. For example, it automatically adjusts the display when moving from a smartphone to a PC. The device support unit also detects user movement in real time and provides an interface that provides the optimal display method based on the results. For example, it automatically adjusts the display when moving from a tablet to a VR headset. The device support unit also implements a function that automatically detects user movement between devices and provides the optimal display method. For example, it automatically adjusts the display when moving from a smartwatch to a smartphone. This automatically detects user movement between devices and provides the optimal display method, allowing users to use the system comfortably on any device.

[0093] The device corresponding unit can use the emotion estimation function to provide a customized experience according to the user's emotion. For example, the device corresponding unit uses the emotion estimation function to build a system that provides a customized experience according to the user's emotion. For example, if the user is relaxed, a calm design is provided. The device corresponding unit also analyzes the user's emotion in real time and provides an interface that provides a customized experience based on the results. For example, if the user is excited, an action scene is added. The device corresponding unit also uses the emotion estimation function to implement a function that provides a customized experience according to the user's emotion. For example, if the user is surprised, sound effects are enhanced. This makes it possible to provide a more personalized experience by providing a customized experience according to the user's emotion.

[0094] The real-time response unit can use a generative AI to estimate the emotion of a sound in real time and provide a visual representation based on that emotion. For example, the real-time response unit builds a system that uses a generative AI to estimate the emotion of a sound in real time and provide a visual representation based on that emotion. For example, it changes the color or shape depending on the emotion of the music. The real-time response unit also analyzes the emotion of a sound in real time and provides an interface that provides a visual representation based on the results. For example, it changes the background color depending on the emotion of the conversation. The real-time response unit also implements a function that uses a generative AI to estimate the emotion of a sound in real time and provide a visual representation based on that emotion. For example, it generates an animation depending on the emotion of the sound. In this way, by estimating the emotion of a sound in real time and providing a visual representation based on that emotion, people with hearing impairments can understand the emotion of the sound.

[0095] The real-time response unit can analyze changes in sound in real time and display them visually. The real-time response unit, for example, builds a system that analyzes changes in sound in real time and visually displays the results. For example, it changes graphics according to the volume of the sound. The real-time response unit also analyzes changes in sound in real time and provides an interface that visually displays the results. For example, it changes color according to the frequency components of the sound. The real-time response unit also implements a function that analyzes changes in sound in real time and visually displays the results. For example, it generates animation according to the rhythm of the sound. In this way, sound changes can be analyzed in real time and visually displayed, allowing people with hearing impairments to understand changes in sound.

[0096] The real-time response unit can identify the source of a sound in real time and visually display its location. The real-time response unit, for example, builds a system that identifies the source of a sound in real time and visually displays its location. For example, it displays an arrow indicating the direction of the sound. The real-time response unit also provides an interface that identifies the source of a sound in real time and visually displays its location. For example, it displays an icon corresponding to the source of the sound. The real-time response unit also implements a function that identifies the source of a sound in real time and visually displays its location. For example, it moves an object on the screen according to the source of the sound. In this way, the source of a sound can be identified in real time and its location visually displayed, allowing people with hearing impairments to understand the direction of the sound.

[0097] The real-time support unit can provide real-time subtitle display corresponding to different languages ​​or cultures. The real-time support unit, for example, builds a system that provides real-time subtitle display corresponding to different languages ​​and cultures. For example, it displays subtitles in multiple languages ​​simultaneously. The real-time support unit also provides an interface that provides real-time subtitle display corresponding to different languages ​​and cultures. For example, it uses different fonts and colors for each culture. The real-time support unit also implements a function that provides real-time subtitle display corresponding to different languages ​​and cultures. For example, it uses different icons and symbols for each language. This allows real-time subtitle display corresponding to different languages ​​and cultures to be available to a wider range of users.

[0098] The real-time response unit can provide a real-time visual representation that the user can operate interactively. The real-time response unit, for example, builds a system that provides a real-time visual representation that the user can operate interactively. For example, the sound waveform is manipulated to change the sound. The real-time response unit also provides an interface that provides a real-time visual representation that the user can operate interactively. For example, the visual effect is changed by changing the direction of the sound. The real-time response unit also implements a function that provides a real-time visual representation that the user can operate interactively. For example, the visual display is changed by adjusting the volume of the sound. In this way, a more immersive experience can be provided by providing a real-time visual representation that the user can operate interactively.

[0099] The real-time response unit can use the emotion estimation function to provide a customized real-time visual representation according to the user's emotion. For example, the real-time response unit uses the emotion estimation function to build a system that provides a customized real-time visual representation according to the user's emotion. For example, if the user is relaxed, a calm design is provided. The real-time response unit also analyzes the user's emotion in real time and provides an interface that provides a customized real-time visual representation based on the analysis result. For example, an action scene is added if the user is excited. The real-time response unit also uses the emotion estimation function to implement a function that provides a customized real-time visual representation according to the user's emotion. For example, sound effects are enhanced if the user is surprised. This makes it possible to provide a more personalized experience by providing a customized real-time visual representation according to the user's emotion.

[0100] The API extension unit can optimize collaboration with other applications or services using the generation AI. For example, the API extension unit builds a system that optimizes collaboration with other applications and services using the generation AI. For example, it collaborates with an educational app to provide real-time subtitle display. The API extension unit also provides an interface for optimizing collaboration with other applications and services. For example, it collaborates with an entertainment app to provide visual effects. The API extension unit also implements a function that optimizes collaboration with other applications and services using the generation AI. For example, it collaborates with a business app to provide real-time subtitle display for meetings. This optimizes collaboration with other applications and services, thereby improving the scalability of the system.

[0101] The API extension unit can monitor API usage in real time and provide optimal performance. For example, the API extension unit builds a system that monitors API usage in real time and provides optimal performance. For example, it monitors API response time and adjusts resources as necessary. The API extension unit also analyzes API usage in real time and provides an interface that provides optimal performance based on the results. For example, it automatically scales when the API load is high. The API extension unit also implements a function that monitors API usage in real time and provides optimal performance. For example, it monitors API error rates and sends an alert if a problem occurs. As a result, the reliability of the system is improved by monitoring API usage in real time and providing optimal performance.

[0102] The API extension unit can strengthen API security and provide secure integration. For example, the API extension unit builds a system that strengthens API security and provides secure integration. For example, it implements authentication using API keys and tokens. The API extension unit also monitors API security in real time and provides an interface that responds immediately when a problem occurs. For example, it sends an alert when unauthorized access is detected. The API extension unit also implements functions that strengthen API security and provide secure integration. For example, it introduces data encryption and access control. This strengthens API security and provides secure integration, improving the reliability of the system.

[0103] The API extension unit can provide APIs that correspond to different industries or applications. For example, the API extension unit builds a system that provides APIs that correspond to different industries or applications. For example, it develops APIs specialized for fields such as education, entertainment, and business. The API extension unit also provides an interface for providing APIs that correspond to different industries or applications. For example, it supports different functions and data formats for each industry. The API extension unit also implements a function that provides APIs that correspond to different industries or applications. For example, it provides a data analysis API specialized for the medical field. This improves the scalability of the system by providing APIs that correspond to different industries and applications.

[0104] The API extension unit can provide API usage examples or sample code, making it easier for developers to use. For example, the API extension unit builds a system that provides API usage examples and sample code, making it easier for developers to use. For example, it posts sample code in official documentation. The API extension unit also provides an interface for providing API usage examples and sample code. For example, it opens a portal site for developers and makes the sample code available for download. The API extension unit also implements a function that provides API usage examples and sample code, making it easier for developers to use. For example, it provides a tutorial that explains how to use the API. By providing API usage examples and sample code, developers can use it easily.

[0105] The API extension unit can use the emotion estimation function to provide a customized API according to the user's emotions. For example, the API extension unit uses the emotion estimation function to build a system that provides a customized API according to the user's emotions. For example, if the user is relaxed, it provides a calm design. The API extension unit also analyzes the user's emotions in real time and provides an interface that provides a customized API based on the results. For example, if the user is excited, it adds an action scene. The API extension unit also uses the emotion estimation function to implement a function that provides a customized API according to the user's emotions. For example, if the user is surprised, it enhances sound effects. This makes it possible to provide a more personalized experience by providing a customized API according to the user's emotions.

[0106] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0107] The visual information providing unit can also estimate the user's emotions and provide visual feedback based on the estimated emotions. For example, if the user is surprised, the visual effect can be enhanced. If the user is relaxed, calm colors can be used. Furthermore, if the user is excited, dynamic animation can be added. This allows for a more personalized experience by providing visual feedback according to the user's emotions.

[0108] The visual information providing unit can also analyze sound information and automatically generate sign language or gestures based on the content. For example, sign language can be generated using voice recognition technology and displayed on the screen. It can also display music lyrics in sign language. It can also provide an interface that displays the content of conversations in sign language. This allows people with hearing impairments to visually understand sound information through sign language and gestures.

[0109] The visual information providing unit can analyze the frequency spectrum of sound in real time and generate visual effects based on the results. For example, if the low-frequency sound is strong, the entire screen will vibrate. It is also possible to change the color and shape depending on the intensity of the sound. Furthermore, it can provide an interface that displays the frequency spectrum of sound as a graph. This allows people with hearing impairments to visually sense the nuances of sound.

[0110] The 3D / VR content provider can also identify the source of a sound and visually display its location. For example, it can display an arrow indicating the direction of the sound. It can also display an icon corresponding to the source of the sound. It can also move objects on the screen according to the source of the sound. This allows the hearing impaired to visually enjoy concerts and plays.

[0111] The device support unit can also analyze sound information and automatically generate sign language and gestures based on the content. For example, sign language can be generated using speech recognition technology and displayed on the screen. It can also display music lyrics in sign language. It can also provide an interface that displays the content of conversations in sign language. This allows the optimal display method to be provided to suit the user's device.

[0112] When providing visual information about sound, the real-time support unit can also provide visual representations that correspond to different cultures and languages. For example, different colors and shapes can be used for each culture. It can also display subtitles in multiple languages ​​simultaneously. It can also use different icons and symbols for each culture. This allows people with hearing impairments to understand the content of live events and meetings in real time.

[0113] The API extension can also use the emotion estimation function to provide customized visual representations according to the user's emotions. For example, bright colors can be used if the user is happy, effects can be added if the user is surprised, or a calm animation can be displayed if the user is relaxed. This allows the functionality of this system to be incorporated into a variety of applications and services.

[0114] The visual information provision unit can also use generative AI to estimate the emotion of music or conversation and visually express it using colors or shapes based on the emotion. For example, warm colors are used for cheerful music and cool colors for sad music. It can also display a red flash if an angry emotion is detected. In addition, it can change the background pattern or movement according to the change in emotion. This allows the hearing impaired to understand the nuances of emotion by visually expressing the emotion of music or conversation.

[0115] The visual information providing unit can analyze the frequency spectrum of sound in real time and generate visual effects based on the results. For example, if the low-frequency sound is strong, the entire screen will vibrate. It is also possible to change the color and shape depending on the intensity of the sound. Furthermore, it can provide an interface that displays the frequency spectrum of sound as a graph. This allows people with hearing impairments to understand the characteristics of sound by visually displaying the frequency spectrum of sound.

[0116] The visual information providing unit can identify the source of a sound and visually display its location. For example, it can display an arrow indicating the direction of the sound. It can also display an icon corresponding to the source of the sound. It can also move an object on the screen according to the source of the sound. In this way, by visually displaying the source of the sound, people with hearing impairments can understand the direction of the sound.

[0117] The processing flow of the second embodiment will be briefly explained below.

[0118] Step 1: The visual information provider visually presents audio information. For example, music and conversation content is displayed as subtitles in real time. The visual information provider also expresses the dynamics and rhythm of the audio using colors and shapes, and the graphics on the screen change in sync with the rhythm of the music. Step 2: The 3D / VR content provider provides a rich experience through 3D or VR content. For example, a concert or theater scene can be recreated in VR for visual enjoyment. Also, 3D audiovisual content can be used to visually express the direction and distance of sound. Step 3: The device support section supports multiple devices, such as smartphones, tablets, PCs, and VR headsets, and provides the optimal display method for each device the user owns. Step 4: The real-time response component provides visual information about the sound in real time. For example, it displays subtitles for live events or conferences in real time. It also instantly changes graphics in response to changes in the sound. Step 5: The API extension unit provides an open API, enabling integration with other applications and services. For example, the system's visual information provision function can be incorporated into educational and entertainment applications.

[0119] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0120] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0121] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0122] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0123] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0124] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0125] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0126] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0127] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0128] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0129] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0130] 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.

[0131] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0132] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0133] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0134] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0135] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AI other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0136] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0137] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0138] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0139] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0140] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0141] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0142] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0143] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0144] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0145] 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.

[0146] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0147] In the headset type terminal 314, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0148] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0149] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0150] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AI other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0151] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0152] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0153] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0154] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0155] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0156] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0157] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0158] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0159] The control 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0160] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0161] 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.

[0162] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0163] In the robot 414, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0164] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0165] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0166] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AI other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0167] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0168] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0169] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0170] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0171] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0172] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[0173] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0174] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0175] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0176] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0177] 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.

[0178] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0179] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0180] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0181] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0182] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0183] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0184] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0185] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0186] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. a visual information providing unit that visually provides sound information; 3D / VR Content Provider, which provides rich experiences through 3D or VR content; a device support unit that supports a plurality of devices; A real-time response section that provides visual information on sound in real time, An API extension unit that provides an open API and enables collaboration with other applications and services. A system characterized by:

2. The visual information providing unit Display music or dialogue as subtitles in real time 2. The system of claim 1.

3. The visual information providing unit The strength or rhythm of the sound is expressed by the color or the shape.

2. The system of claim 1.

4. The 3D / VR content providing unit Concert or theater scenes can be recreated in VR for visual enjoyment.

2. The system of claim 1.

5. The device support unit Compatible with smartphones, tablets, PCs, and VR headsets, providing the optimal display method 2. The system of claim 1.

Images