system

Abstract

An object of a system according to an embodiment is to integrally provide a visual experience and auditory support in which VR and AR technologies are combined.SOLUTION: A system according to an embodiment includes a visual experience providing unit, an auditory support unit, and a hands-free operation unit. The visual experience providing unit provides a visual experience in which VR and AR technologies are combined. The auditory support unit provides voice guidance and music. The hands-free operation unit operates the device using a voice command or gesture recognition.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 makes it difficult to provide an integrated VR or AR visual experience and auditory support, leaving room for improvement in terms of enhancing user immersion.

[0005] The system according to the embodiment aims to provide an integrated visual experience and auditory support that combines VR and AR technologies. [Means for solving the problem]

[0006] The system according to the embodiment includes a visual experience providing unit, an auditory support unit, and a hands-free operation unit. The visual experience providing unit provides a visual experience that combines VR and AR technologies. The auditory support unit provides audio guidance and music. The hands-free operation unit operates a device using voice commands and gesture recognition. [Effects of the Invention]

[0007] The system according to the embodiment can provide an integrated visual experience and auditory support by combining VR and AR technologies. [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) A SpectaView system according to an embodiment of the present invention is a system that provides a user with an immersive visual experience. This system provides an innovative visual experience by combining technologies such as virtual reality (VR) and augmented reality (AR) to blend digital information with the real world. This allows the SpectaView system to provide a user with an immersive visual experience.

[0029] The spectator view system according to the embodiment includes a visual experience providing unit, an auditory support unit, and a hands-free operation unit. The visual experience providing unit provides a visual experience that combines VR and AR technologies. For example, the visual experience providing unit uses a head-mounted display to provide an experience of being completely immersed in a virtual world. The visual experience providing unit can also overlay digital information on a real landscape using projection mapping. The visual experience providing unit can also overlay digital information on a real landscape using smart glasses. The auditory support unit provides audio guides and music. For example, the auditory support unit can provide audio guides for sightseeing. The auditory support unit can also provide relaxation music. The auditory support unit can also provide educational audio guides. The hands-free operation unit operates a device using voice commands or gesture recognition. For example, the hands-free operation unit can operate a device by recognizing specific phrases. The hands-free operation unit can also operate a device by recognizing hand movements. The hands-free operation unit can also operate a device by recognizing head movements. As a result, the spectator view system according to the embodiment provides the user with an immersive visual experience, provides visual and auditory support, and allows comfortable hands-free operation.

[0030] The visual experience providing unit can automatically switch between VR and AR modes based on the user's gaze tracking. The visual experience providing unit, for example, is equipped with a sensor that tracks the user's gaze and develops a system that automatically switches between VR and AR modes according to gaze movements. For example, when the user gazes in a specific direction, the system switches to VR mode, and when the user gazes in another direction, the system returns to AR mode. The visual experience providing unit also analyzes gaze tracking data in real time and implements an algorithm that switches to VR mode when the user's gaze is focused on a specific object. For example, when the user gazes at a specific point, VR content related to that point is displayed. The visual experience providing unit also learns the user's gaze movements and builds a system that switches between VR and AR at the optimal timing for each individual user. For example, it analyzes the user's gaze patterns to achieve a natural switching. This automatically switches between VR and AR modes based on the user's gaze, providing a more intuitive visual experience.

[0031] The visual experience provider can dynamically adjust VR and AR content according to the user's movements. For example, the visual experience provider develops an algorithm that tracks the user's movements in real time and dynamically adjusts the VR and AR content according to those movements. For example, when the user walks, surrounding AR objects move, and when the user stops, VR content is displayed. The visual experience provider also builds a system that seamlessly switches between VR and AR content based on the user's movements. For example, when the user moves their hand, AR objects react to that movement, and a specific gesture switches to VR mode. The visual experience provider also implements an algorithm that learns the user's movement patterns and changes the VR and AR content at the optimal timing. For example, when the user makes a specific movement, VR content related to that movement is displayed. This dynamically adjusts the VR and AR content according to the user's movements, providing a more interactive visual experience.

[0032] The visual experience providing unit can provide VR and AR visual experiences even on different devices. The visual experience providing unit develops applications that provide VR and AR visual experiences compatible with smartphones and tablets, for example. For example, AR content is displayed using a smartphone camera, and the VR content is enjoyed using dedicated VR goggles. The visual experience providing unit also builds a system that allows VR and AR content to be shared seamlessly between different devices. For example, it makes it possible to continue an AR experience started on a smartphone on a tablet. The visual experience providing unit also utilizes the sensors of the smartphone or tablet to introduce algorithms that optimize the VR and AR visual experience. For example, it uses the device's acceleration sensor and gyro sensor to display content according to the user's movement. This improves user convenience by providing VR and AR visual experiences on different devices.

[0033] The visual experience providing unit enables multiple users to simultaneously share VR and AR visual experiences. The visual experience providing unit develops, for example, a system that enables multiple users to simultaneously share VR and AR visual experiences. For example, multiple users can communicate while viewing AR objects in the same space. The visual experience providing unit also introduces an algorithm that synchronizes each user's viewpoint and movement in real time in a multi-user system. For example, it enables user B to simultaneously view an AR object that user A is viewing. The visual experience providing unit also builds a system that synchronizes data via a network so that multiple users can simultaneously experience VR and AR content. For example, it shares each user's data in real time using a cloud server. This allows multiple users to simultaneously share VR and AR visual experiences, providing a more interactive experience.

[0034] The hearing support unit can analyze the surrounding sound environment in real time using a microphone built into the smart glasses and provide appropriate audio feedback. For example, the hearing support unit develops a system that collects surrounding sounds using a microphone built into the smart glasses and analyzes the sound environment in real time. For example, the volume of the audio guide is automatically adjusted in noisy environments. The hearing support unit also introduces an algorithm that analyzes the surrounding sound environment and provides appropriate audio feedback. For example, if the user is in a quiet place, the tone of the audio guide is changed to a calmer tone. The hearing support unit also builds a system that provides audio feedback according to the user's situation based on the sound data collected by the microphone in the smart glasses. For example, the audio guide is paused when the user is talking. In this way, the surrounding sound environment is analyzed in real time and appropriate audio feedback is provided, optimizing the user's hearing experience.

[0035] The hearing support unit can be provided as a module specialized for different applications. For example, smart glasses specialized for sports can be developed to provide a function for displaying performance data in real time. For example, speed and heart rate can be displayed while running. In addition, smart glasses specialized for entertainment can be developed to provide a function for enhancing the visual experience of movies and games. For example, AR effects can be displayed to match movie scenes. In addition, smart glasses specialized for medical use can be developed to provide a function for displaying patient data to doctors during surgery in real time. For example, the patient's vital signs can be displayed during surgery. In this way, by providing modules specialized for different applications, hearing support tailored to user needs can be realized.

[0036] The hearing support unit can link with other wearable devices to provide integrated information. The hearing support unit will develop a system that links, for example, smart glasses and a smart watch to provide integrated information. For example, the heart rate measured by the smart watch will be displayed on the smart glasses. The hearing support unit will also link with other wearable devices to build a system that manages the user's health data in an integrated manner. For example, the number of steps and calorie consumption measured by the smart watch will be displayed on the smart glasses. The hearing support unit will also develop a system that synchronizes data between the smart glasses and the smart watch in real time to provide feedback based on the user's activity status. For example, the smart glasses will display appropriate advice based on data measured by the smart watch during exercise. In this way, by linking with other wearable devices, integrated information provision will be realized.

[0037] The hands-free operation unit may incorporate a personalized voice recognition system that learns the characteristics of the user's voice to improve the accuracy of voice command recognition. The hands-free operation unit, for example, learns the characteristics of the user's voice and develops a system that improves the accuracy of voice command recognition. For example, the hands-free operation unit may analyze the tone and accent of the user's voice to provide individually optimized voice recognition. The hands-free operation unit may also incorporate a personalized voice recognition system and develop an algorithm that improves the accuracy of voice command recognition based on the characteristics of the user's voice. For example, the algorithm may learn the user's voice patterns to reduce recognition errors. The hands-free operation unit may also build a system that learns the characteristics of the user's voice in real time to dynamically improve the accuracy of voice command recognition. For example, the system may maintain high recognition accuracy even when the user uses voice commands in different environments. In this way, the system improves the accuracy of voice command recognition by learning the characteristics of the user's voice.

[0038] The hands-free operation unit may develop a hybrid recognition system that combines multiple sensors to improve the accuracy of gesture recognition. For example, the hands-free operation unit may develop a hybrid recognition system that combines multiple sensors to improve the accuracy of gesture recognition. For example, a camera and an infrared sensor may be combined to recognize hand movements with high accuracy. The hands-free operation unit may also introduce a hybrid recognition system and develop an algorithm that integrates data from multiple sensors to improve the accuracy of gesture recognition. For example, an acceleration sensor and a gyro sensor may be combined to accurately track hand movements. The hands-free operation unit may also synchronize multiple sensors in real time to build a system that dynamically improves the accuracy of gesture recognition. For example, the user's hand movements may be analyzed in real time to reduce false recognition. This improves the accuracy of gesture recognition by combining multiple sensors.

[0039] The hands-free operation unit can apply hands-free operation to different devices and provide an integrated operation environment. The hands-free operation unit develops a system that applies hands-free operation to smart home devices, for example, to provide an integrated operation environment. For example, a smart light or smart thermostat can be operated with a voice command. The hands-free operation unit also builds a system that allows seamless hands-free operation between different devices. For example, a smart TV can be operated with a voice command using smart glasses. The hands-free operation unit also introduces an algorithm that applies hands-free operation to different devices, allowing the user to have a consistent operation experience. For example, a smart watch can be used to control smart home devices. This provides an integrated operation environment by applying hands-free operation to different devices.

[0040] The hands-free operation unit can accommodate hands-free operation in different languages ​​and cultural areas, thereby supporting global users. The hands-free operation unit, for example, develops a system that supports hands-free operation in different languages. For example, it makes voice commands multilingual, allowing users to operate in their native language. The hands-free operation unit also introduces an algorithm that customizes the hands-free operation interface to accommodate different cultural areas. For example, it provides an operation method that takes cultural gestures and voice commands into consideration. The hands-free operation unit also makes the hands-free operation system multilingual to accommodate global users, allowing users from different cultural areas to operate it comfortably. For example, it learns the accents and pronunciations of each language to improve the recognition accuracy of voice commands. This allows it to accommodate different languages ​​and cultural areas, thereby supporting global users.

[0041] The visual experience providing unit can provide a customized tour guide based on a user's interests and concerns in a guide service at a tourist destination. For example, the visual experience providing unit develops a system that collects a user's interests and concerns in advance and provides a customized tour guide based on that data. For example, a user interested in history can be guided mainly to historical sites. The visual experience providing unit also analyzes a user's real-time behavioral data and introduces an algorithm that dynamically customizes the tour guide based on that data. For example, if a user stays in a particular location for a long time, information related to that location can be provided. The visual experience providing unit also builds a system that learns a user's interests and concerns and provides the optimal tour guide. For example, the system suggests the user's next destination based on places the user has visited in the past and themes that interest them. This allows for a more personalized sightseeing experience by providing a customized tour guide based on the user's interests and concerns.

[0042] The visual experience providing unit can develop a system for supporting learning in educational settings that dynamically adjusts content according to a student's learning progress and level of understanding. For example, the visual experience providing unit develops a system that analyzes a student's learning progress and level of understanding in real time and dynamically adjusts learning content based on that data. For example, it provides additional explanations and practice problems to students with low levels of understanding. The visual experience providing unit also introduces an algorithm that provides learning content tailored to individual needs based on the student's learning data. For example, it provides advanced problems to strengthen areas of strength. The visual experience providing unit also learns a student's learning progress and level of understanding and builds a system that provides optimal learning content. For example, it suggests what content should be learned next based on past learning data. In this way, individual learning needs can be met by dynamically adjusting content according to the student's learning progress and level of understanding.

[0043] The Visual Experience Providing Department can expand the use of various services to different industries and develop new markets. For example, in the entertainment industry, the Visual Experience Providing Department will develop a system that provides new visual experiences using VR and AR. For example, it will provide immersive experiences at movies and live events. In the sports industry, the Visual Experience Providing Department will build a system that provides training and spectator experiences using VR and AR. For example, it will provide real-time feedback to athletes during training. In the business industry, the Visual Experience Providing Department will develop a system that provides presentation and meeting experiences using VR and AR. For example, it will enable real-time collaboration in virtual conference rooms. This will enable the use of services to be expanded to different industries, thereby developing new markets.

[0044] The visual experience providing unit can make it possible to provide various service usage across different devices. For example, the visual experience providing unit develops applications that provide service usage compatible with smartphones and tablets. For example, it provides AR guides on smartphones and VR presentations on tablets. The visual experience providing unit also builds a system that allows service usage to be performed seamlessly across different devices. For example, it makes it possible to continue a service started on a smartphone on a tablet. The visual experience providing unit also utilizes sensors in smartphones and tablets to introduce algorithms that optimize service usage. For example, it uses the device's acceleration sensor and gyro sensor to provide services according to the user's movements. This improves user convenience by providing service usage across different devices.

[0045] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0046] The visual experience providing unit can automatically switch between VR and AR modes based on the user's gaze tracking. The visual experience providing unit, for example, is equipped with a sensor that tracks the user's gaze and develops a system that automatically switches between VR and AR modes according to gaze movements. For example, when the user gazes in a specific direction, the system switches to VR mode, and when the user gazes in another direction, the system returns to AR mode. The visual experience providing unit also analyzes gaze tracking data in real time and implements an algorithm that switches to VR mode when the user's gaze is focused on a specific object. For example, when the user gazes at a specific point, VR content related to that point is displayed. The visual experience providing unit also learns the user's gaze movements and builds a system that switches between VR and AR at the optimal timing for each individual user. For example, it analyzes the user's gaze patterns to achieve a natural switching. This automatically switches between VR and AR modes based on the user's gaze, providing a more intuitive visual experience.

[0047] The visual experience provider can dynamically adjust VR and AR content according to the user's movements. For example, the visual experience provider develops an algorithm that tracks the user's movements in real time and dynamically adjusts the VR and AR content according to those movements. For example, when the user walks, surrounding AR objects move, and when the user stops, VR content is displayed. The visual experience provider also builds a system that seamlessly switches between VR and AR content based on the user's movements. For example, when the user moves their hand, AR objects react to that movement, and a specific gesture switches to VR mode. The visual experience provider also implements an algorithm that learns the user's movement patterns and changes the VR and AR content at the optimal timing. For example, when the user makes a specific movement, VR content related to that movement is displayed. This dynamically adjusts the VR and AR content according to the user's movements, providing a more interactive visual experience.

[0048] The visual experience providing unit can provide VR and AR visual experiences even on different devices. The visual experience providing unit develops applications that provide VR and AR visual experiences compatible with smartphones and tablets, for example. For example, AR content is displayed using a smartphone camera, and the VR content is enjoyed using dedicated VR goggles. The visual experience providing unit also builds a system that allows VR and AR content to be shared seamlessly between different devices. For example, it makes it possible to continue an AR experience started on a smartphone on a tablet. The visual experience providing unit also utilizes the sensors of the smartphone or tablet to introduce algorithms that optimize the VR and AR visual experience. For example, it uses the device's acceleration sensor and gyro sensor to display content according to the user's movement. This improves user convenience by providing VR and AR visual experiences on different devices.

[0049] The visual experience providing unit enables multiple users to simultaneously share VR and AR visual experiences. The visual experience providing unit develops, for example, a system that enables multiple users to simultaneously share VR and AR visual experiences. For example, multiple users can communicate while viewing AR objects in the same space. The visual experience providing unit also introduces an algorithm that synchronizes each user's viewpoint and movement in real time in a multi-user system. For example, it enables user B to simultaneously view an AR object that user A is viewing. The visual experience providing unit also builds a system that synchronizes data via a network so that multiple users can simultaneously experience VR and AR content. For example, it shares each user's data in real time using a cloud server. This allows multiple users to simultaneously share VR and AR visual experiences, providing a more interactive experience.

[0050] The hearing support unit can analyze the surrounding sound environment in real time using a microphone built into the smart glasses and provide appropriate audio feedback. For example, the hearing support unit develops a system that collects surrounding sounds using a microphone built into the smart glasses and analyzes the sound environment in real time. For example, the volume of the audio guide is automatically adjusted in noisy environments. The hearing support unit also introduces an algorithm that analyzes the surrounding sound environment and provides appropriate audio feedback. For example, if the user is in a quiet place, the tone of the audio guide is changed to a calmer tone. The hearing support unit also builds a system that provides audio feedback according to the user's situation based on the sound data collected by the microphone in the smart glasses. For example, the audio guide is paused when the user is talking. In this way, the surrounding sound environment is analyzed in real time and appropriate audio feedback is provided, optimizing the user's hearing experience.

[0051] The hearing support unit can be provided as a module specialized for different applications. For example, smart glasses specialized for sports can be developed to provide a function for displaying performance data in real time. For example, speed and heart rate can be displayed while running. In addition, smart glasses specialized for entertainment can be developed to provide a function for enhancing the visual experience of movies and games. For example, AR effects can be displayed to match movie scenes. In addition, smart glasses specialized for medical use can be developed to provide a function for displaying patient data to doctors during surgery in real time. For example, the patient's vital signs can be displayed during surgery. In this way, by providing modules specialized for different applications, hearing support tailored to user needs can be realized.

[0052] The hearing support unit can link with other wearable devices to provide integrated information. The hearing support unit will develop a system that links, for example, smart glasses and a smart watch to provide integrated information. For example, the heart rate measured by the smart watch will be displayed on the smart glasses. The hearing support unit will also link with other wearable devices to build a system that manages the user's health data in an integrated manner. For example, the number of steps and calorie consumption measured by the smart watch will be displayed on the smart glasses. The hearing support unit will also develop a system that synchronizes data between the smart glasses and the smart watch in real time to provide feedback based on the user's activity status. For example, the smart glasses will display appropriate advice based on data measured by the smart watch during exercise. In this way, by linking with other wearable devices, integrated information provision will be realized.

[0053] The hands-free operation unit may incorporate a personalized voice recognition system that learns the characteristics of the user's voice to improve the accuracy of voice command recognition. The hands-free operation unit, for example, learns the characteristics of the user's voice and develops a system that improves the accuracy of voice command recognition. For example, the hands-free operation unit may analyze the tone and accent of the user's voice to provide individually optimized voice recognition. The hands-free operation unit may also incorporate a personalized voice recognition system and develop an algorithm that improves the accuracy of voice command recognition based on the characteristics of the user's voice. For example, the algorithm may learn the user's voice patterns to reduce recognition errors. The hands-free operation unit may also build a system that learns the characteristics of the user's voice in real time to dynamically improve the accuracy of voice command recognition. For example, the system may maintain high recognition accuracy even when the user uses voice commands in different environments. In this way, the system improves the accuracy of voice command recognition by learning the characteristics of the user's voice.

[0054] The hands-free operation unit may develop a hybrid recognition system that combines multiple sensors to improve the accuracy of gesture recognition. For example, the hands-free operation unit may develop a hybrid recognition system that combines multiple sensors to improve the accuracy of gesture recognition. For example, a camera and an infrared sensor may be combined to recognize hand movements with high accuracy. The hands-free operation unit may also introduce a hybrid recognition system and develop an algorithm that integrates data from multiple sensors to improve the accuracy of gesture recognition. For example, an acceleration sensor and a gyro sensor may be combined to accurately track hand movements. The hands-free operation unit may also synchronize multiple sensors in real time to build a system that dynamically improves the accuracy of gesture recognition. For example, the user's hand movements may be analyzed in real time to reduce false recognition. This improves the accuracy of gesture recognition by combining multiple sensors.

[0055] The hands-free operation unit can apply hands-free operation to different devices and provide an integrated operation environment. The hands-free operation unit develops a system that applies hands-free operation to smart home devices, for example, to provide an integrated operation environment. For example, a smart light or smart thermostat can be operated with a voice command. The hands-free operation unit also builds a system that allows seamless hands-free operation between different devices. For example, a smart TV can be operated with a voice command using smart glasses. The hands-free operation unit also introduces an algorithm that applies hands-free operation to different devices, allowing the user to have a consistent operation experience. For example, a smart watch can be used to control smart home devices. This provides an integrated operation environment by applying hands-free operation to different devices.

[0056] The hands-free operation unit can accommodate hands-free operation in different languages ​​and cultural areas, thereby supporting global users. The hands-free operation unit, for example, develops a system that supports hands-free operation in different languages. For example, it makes voice commands multilingual, allowing users to operate in their native language. The hands-free operation unit also introduces an algorithm that customizes the hands-free operation interface to accommodate different cultural areas. For example, it provides an operation method that takes cultural gestures and voice commands into consideration. The hands-free operation unit also makes the hands-free operation system multilingual to accommodate global users, allowing users from different cultural areas to operate it comfortably. For example, it learns the accents and pronunciations of each language to improve the recognition accuracy of voice commands. This allows it to accommodate different languages ​​and cultural areas, thereby supporting global users.

[0057] The visual experience providing unit can provide a customized tour guide based on a user's interests and concerns in a guide service at a tourist destination. For example, the visual experience providing unit develops a system that collects a user's interests and concerns in advance and provides a customized tour guide based on that data. For example, a user interested in history can be guided mainly to historical sites. The visual experience providing unit also analyzes a user's real-time behavioral data and introduces an algorithm that dynamically customizes the tour guide based on that data. For example, if a user stays in a particular location for a long time, information related to that location can be provided. The visual experience providing unit also builds a system that learns a user's interests and concerns and provides the optimal tour guide. For example, the system suggests the user's next destination based on places the user has visited in the past and themes that interest them. This allows for a more personalized sightseeing experience by providing a customized tour guide based on the user's interests and concerns.

[0058] The visual experience providing unit can develop a system for supporting learning in educational settings that dynamically adjusts content according to a student's learning progress and level of understanding. For example, the visual experience providing unit develops a system that analyzes a student's learning progress and level of understanding in real time and dynamically adjusts learning content based on that data. For example, it provides additional explanations and practice problems to students with low levels of understanding. The visual experience providing unit also introduces an algorithm that provides learning content tailored to individual needs based on the student's learning data. For example, it provides advanced problems to strengthen areas of strength. The visual experience providing unit also learns a student's learning progress and level of understanding and builds a system that provides optimal learning content. For example, it suggests what content should be learned next based on past learning data. In this way, individual learning needs can be met by dynamically adjusting content according to the student's learning progress and level of understanding.

[0059] The Visual Experience Providing Department can expand the use of various services to different industries and develop new markets. For example, in the entertainment industry, the Visual Experience Providing Department will develop a system that provides new visual experiences using VR and AR. For example, it will provide immersive experiences at movies and live events. In the sports industry, the Visual Experience Providing Department will build a system that provides training and spectator experiences using VR and AR. For example, it will provide real-time feedback to athletes during training. In the business industry, the Visual Experience Providing Department will develop a system that provides presentation and meeting experiences using VR and AR. For example, it will enable real-time collaboration in virtual conference rooms. This will enable the use of services to be expanded to different industries, thereby developing new markets.

[0060] The visual experience providing unit can make it possible to provide various service usage across different devices. For example, the visual experience providing unit develops applications that provide service usage compatible with smartphones and tablets. For example, it provides AR guides on smartphones and VR presentations on tablets. The visual experience providing unit also builds a system that allows service usage to be performed seamlessly across different devices. For example, it makes it possible to continue a service started on a smartphone on a tablet. The visual experience providing unit also utilizes sensors in smartphones and tablets to introduce algorithms that optimize service usage. For example, it uses the device's acceleration sensor and gyro sensor to provide services according to the user's movements. This improves user convenience by providing service usage across different devices.

[0061] The processing flow of the first embodiment will be briefly explained below.

[0062] Step 1: The visual experience provider provides a visual experience that combines VR and AR technologies. For example, a head-mounted display can be used to provide a completely immersive experience in a virtual world. It can also use projection mapping or smart glasses to overlay digital information on real-world scenes. Step 2: The hearing support unit provides audio guides and music. For example, audio guides for sightseeing, relaxation music, and educational audio guides can be provided. Step 3: The hands-free operation unit operates the device using voice commands or gesture recognition. For example, it can recognize specific phrases to operate the device, or recognize hand or head movements to operate the device.

[0063] (Example 2) A SpectaView system according to an embodiment of the present invention is a system that provides a user with an immersive visual experience. This system provides an innovative visual experience by combining technologies such as virtual reality (VR) and augmented reality (AR) to blend digital information with the real world. This allows the SpectaView system to provide a user with an immersive visual experience.

[0064] The spectator view system according to the embodiment includes a visual experience providing unit, an auditory support unit, and a hands-free operation unit. The visual experience providing unit provides a visual experience that combines VR and AR technologies. For example, the visual experience providing unit uses a head-mounted display to provide an experience of being completely immersed in a virtual world. The visual experience providing unit can also overlay digital information on a real landscape using projection mapping. The visual experience providing unit can also overlay digital information on a real landscape using smart glasses. The auditory support unit provides audio guides and music. For example, the auditory support unit can provide audio guides for sightseeing. The auditory support unit can also provide relaxation music. The auditory support unit can also provide educational audio guides. The hands-free operation unit operates a device using voice commands or gesture recognition. For example, the hands-free operation unit can operate a device by recognizing specific phrases. The hands-free operation unit can also operate a device by recognizing hand movements. The hands-free operation unit can also operate a device by recognizing head movements. As a result, the spectator view system according to the embodiment provides the user with an immersive visual experience, provides visual and auditory support, and allows comfortable hands-free operation.

[0065] The visual experience providing unit can automatically switch between VR and AR modes based on the user's gaze tracking. The visual experience providing unit, for example, is equipped with a sensor that tracks the user's gaze and develops a system that automatically switches between VR and AR modes according to gaze movements. For example, when the user gazes in a specific direction, the system switches to VR mode, and when the user gazes in another direction, the system returns to AR mode. The visual experience providing unit also analyzes gaze tracking data in real time and implements an algorithm that switches to VR mode when the user's gaze is focused on a specific object. For example, when the user gazes at a specific point, VR content related to that point is displayed. The visual experience providing unit also learns the user's gaze movements and builds a system that switches between VR and AR at the optimal timing for each individual user. For example, it analyzes the user's gaze patterns to achieve a natural switching. This automatically switches between VR and AR modes based on the user's gaze, providing a more intuitive visual experience.

[0066] The visual experience provider can dynamically adjust VR and AR content according to the user's movements. For example, the visual experience provider develops an algorithm that tracks the user's movements in real time and dynamically adjusts the VR and AR content according to those movements. For example, when the user walks, surrounding AR objects move, and when the user stops, VR content is displayed. The visual experience provider also builds a system that seamlessly switches between VR and AR content based on the user's movements. For example, when the user moves their hand, AR objects react to that movement, and a specific gesture switches to VR mode. The visual experience provider also implements an algorithm that learns the user's movement patterns and changes the VR and AR content at the optimal timing. For example, when the user makes a specific movement, VR content related to that movement is displayed. This dynamically adjusts the VR and AR content according to the user's movements, providing a more interactive visual experience.

[0067] The visual experience providing unit can dynamically adjust VR and AR content according to the user's emotional state using an emotion estimation function. The visual experience providing unit, for example, develops a system that analyzes a user's facial expressions and voice to estimate the user's emotional state in real time. For example, if the user expresses surprise, VR content is displayed to enhance immersion. The visual experience providing unit also implements an algorithm that dynamically adjusts VR and AR content according to the user's emotional state based on the emotion estimation data. For example, if the user is relaxed, AR mode is maintained, and if the user is excited, VR mode is switched to. The visual experience providing unit also builds a system that learns the user's emotional state and adjusts VR and AR content at the optimal timing. For example, AR content is displayed when the user is emotionally calm, and VR content is displayed when the user is emotionally excited. This dynamically adjusts VR and AR content according to the user's emotional state, providing a more personalized visual experience.

[0068] The visual experience providing unit can provide VR and AR visual experiences even on different devices. The visual experience providing unit develops applications that provide VR and AR visual experiences compatible with smartphones and tablets, for example. For example, AR content is displayed using a smartphone camera, and the VR content is enjoyed using dedicated VR goggles. The visual experience providing unit also builds a system that allows VR and AR content to be shared seamlessly between different devices. For example, it makes it possible to continue an AR experience started on a smartphone on a tablet. The visual experience providing unit also utilizes the sensors of the smartphone or tablet to introduce algorithms that optimize the VR and AR visual experience. For example, it uses the device's acceleration sensor and gyro sensor to display content according to the user's movement. This improves user convenience by providing VR and AR visual experiences on different devices.

[0069] The visual experience providing unit enables multiple users to simultaneously share VR and AR visual experiences. The visual experience providing unit develops, for example, a system that enables multiple users to simultaneously share VR and AR visual experiences. For example, multiple users can communicate while viewing AR objects in the same space. The visual experience providing unit also introduces an algorithm that synchronizes each user's viewpoint and movement in real time in a multi-user system. For example, it enables user B to simultaneously view an AR object that user A is viewing. The visual experience providing unit also builds a system that synchronizes data via a network so that multiple users can simultaneously experience VR and AR content. For example, it shares each user's data in real time using a cloud server. This allows multiple users to simultaneously share VR and AR visual experiences, providing a more interactive experience.

[0070] The visual experience providing unit can customize VR and AR experiences based on the user's emotions and provide content that meets individual needs. For example, the visual experience providing unit develops a system that analyzes the user's emotional state in real time and customizes VR and AR content based on that data. For example, if the user is relaxed, it provides relaxing content. The visual experience providing unit also introduces an algorithm that provides VR and AR experiences that meet the user's individual needs based on the emotion estimation data. For example, if the user is excited, it provides VR content for an action game. The visual experience providing unit also builds a system that learns the user's emotional state and provides optimal content. For example, if the user is emotionally calm, it displays relaxing AR content, and if the user is emotionally excited, it displays exciting VR content. In this way, the VR and AR experiences can be customized based on the user's emotions, providing a more personalized experience.

[0071] The hearing support unit can analyze the surrounding sound environment in real time using a microphone built into the smart glasses and provide appropriate audio feedback. For example, the hearing support unit develops a system that collects surrounding sounds using a microphone built into the smart glasses and analyzes the sound environment in real time. For example, the volume of the audio guide is automatically adjusted in noisy environments. The hearing support unit also introduces an algorithm that analyzes the surrounding sound environment and provides appropriate audio feedback. For example, if the user is in a quiet place, the tone of the audio guide is changed to a calmer tone. The hearing support unit also builds a system that provides audio feedback according to the user's situation based on the sound data collected by the microphone in the smart glasses. For example, the audio guide is paused when the user is talking. In this way, the surrounding sound environment is analyzed in real time and appropriate audio feedback is provided, optimizing the user's hearing experience.

[0072] The auditory support unit can use the emotion estimation function to automatically select and provide audio guidance and music according to the user's emotional state. The auditory support unit, for example, develops a system that analyzes the user's facial expressions and voice to estimate the user's emotional state in real time. For example, if the user is relaxed, relaxing music is provided. The auditory support unit also introduces an algorithm that automatically selects audio guidance and music according to the user's emotional state based on the emotion estimation data. For example, energetic music is provided if the user is excited. The auditory support unit also builds a system that learns the user's emotional state and provides optimal audio guidance and music. For example, relaxing music is provided when the user is emotionally calm, and exciting music is provided when the user is emotionally excited. In this way, the auditory experience is personalized by providing audio guidance and music according to the user's emotional state.

[0073] The hearing support unit can be provided as a module specialized for different applications. For example, smart glasses specialized for sports can be developed to provide a function for displaying performance data in real time. For example, speed and heart rate can be displayed while running. In addition, smart glasses specialized for entertainment can be developed to provide a function for enhancing the visual experience of movies and games. For example, AR effects can be displayed to match movie scenes. In addition, smart glasses specialized for medical use can be developed to provide a function for displaying patient data to doctors during surgery in real time. For example, the patient's vital signs can be displayed during surgery. In this way, by providing modules specialized for different applications, hearing support tailored to user needs can be realized.

[0074] The hearing support unit can link with other wearable devices to provide integrated information. The hearing support unit will develop a system that links, for example, smart glasses and a smart watch to provide integrated information. For example, the heart rate measured by the smart watch will be displayed on the smart glasses. The hearing support unit will also link with other wearable devices to build a system that manages the user's health data in an integrated manner. For example, the number of steps and calorie consumption measured by the smart watch will be displayed on the smart glasses. The hearing support unit will also develop a system that synchronizes data between the smart glasses and the smart watch in real time to provide feedback based on the user's activity status. For example, the smart glasses will display appropriate advice based on data measured by the smart watch during exercise. In this way, by linking with other wearable devices, integrated information provision will be realized.

[0075] The auditory support unit can use the emotion estimation function to customize visual and auditory information based on the user's emotions, providing a more personalized experience. For example, the auditory support unit develops a system that analyzes the user's emotional state in real time and customizes visual and auditory information based on that data. For example, if the user is relaxed, it provides relaxing visual and auditory content. The auditory support unit also introduces an algorithm that automatically selects visual and auditory information according to the user's emotional state based on the emotion estimation data. For example, if the user is excited, it provides energetic music and visual effects. The auditory support unit also builds a system that learns the user's emotional state and provides optimal visual and auditory information. For example, if the user is emotionally calm, it provides relaxing visual and auditory content, and if the user is emotionally excited, it provides exciting content. In this way, the visual and auditory information can be customized based on the user's emotions, providing a more personalized experience.

[0076] The hands-free operation unit may incorporate a personalized voice recognition system that learns the characteristics of the user's voice to improve the accuracy of voice command recognition. The hands-free operation unit, for example, learns the characteristics of the user's voice and develops a system that improves the accuracy of voice command recognition. For example, the hands-free operation unit may analyze the tone and accent of the user's voice to provide individually optimized voice recognition. The hands-free operation unit may also incorporate a personalized voice recognition system and develop an algorithm that improves the accuracy of voice command recognition based on the characteristics of the user's voice. For example, the algorithm may learn the user's voice patterns to reduce recognition errors. The hands-free operation unit may also build a system that learns the characteristics of the user's voice in real time to dynamically improve the accuracy of voice command recognition. For example, the system may maintain high recognition accuracy even when the user uses voice commands in different environments. In this way, the system improves the accuracy of voice command recognition by learning the characteristics of the user's voice.

[0077] The hands-free operation unit may develop a hybrid recognition system that combines multiple sensors to improve the accuracy of gesture recognition. For example, the hands-free operation unit may develop a hybrid recognition system that combines multiple sensors to improve the accuracy of gesture recognition. For example, a camera and an infrared sensor may be combined to recognize hand movements with high accuracy. The hands-free operation unit may also introduce a hybrid recognition system and develop an algorithm that integrates data from multiple sensors to improve the accuracy of gesture recognition. For example, an acceleration sensor and a gyro sensor may be combined to accurately track hand movements. The hands-free operation unit may also synchronize multiple sensors in real time to build a system that dynamically improves the accuracy of gesture recognition. For example, the user's hand movements may be analyzed in real time to reduce false recognition. This improves the accuracy of gesture recognition by combining multiple sensors.

[0078] The hands-free operation unit can use an emotion estimation function to dynamically change the operation method according to the user's emotional state, providing an optimal operation experience. For example, a system is developed for the hands-free operation unit that analyzes the user's emotional state in real time and dynamically changes the operation method based on the data. For example, a simple operation method is provided when the user is relaxed. The hands-free operation unit also introduces an algorithm that automatically selects an operation method according to the user's emotional state based on the emotion estimation data. For example, an intuitive operation method is provided when the user is excited. The hands-free operation unit also builds a system that learns the user's emotional state and provides the optimal operation method. For example, a simple operation method is provided when the user is emotionally calm, and an exciting operation method is provided when the user is emotionally excited. This dynamically changes the operation method according to the user's emotional state, providing an optimal operation experience.

[0079] The hands-free operation unit can apply hands-free operation to different devices and provide an integrated operation environment. The hands-free operation unit develops a system that applies hands-free operation to smart home devices, for example, to provide an integrated operation environment. For example, a smart light or smart thermostat can be operated with a voice command. The hands-free operation unit also builds a system that allows seamless hands-free operation between different devices. For example, a smart TV can be operated with a voice command using smart glasses. The hands-free operation unit also introduces an algorithm that applies hands-free operation to different devices, allowing the user to have a consistent operation experience. For example, a smart watch can be used to control smart home devices. This provides an integrated operation environment by applying hands-free operation to different devices.

[0080] The hands-free operation unit can accommodate hands-free operation in different languages ​​and cultural areas, thereby supporting global users. The hands-free operation unit, for example, develops a system that supports hands-free operation in different languages. For example, it makes voice commands multilingual, allowing users to operate in their native language. The hands-free operation unit also introduces an algorithm that customizes the hands-free operation interface to accommodate different cultural areas. For example, it provides an operation method that takes cultural gestures and voice commands into consideration. The hands-free operation unit also makes the hands-free operation system multilingual to accommodate global users, allowing users from different cultural areas to operate it comfortably. For example, it learns the accents and pronunciations of each language to improve the recognition accuracy of voice commands. This allows it to accommodate different languages ​​and cultural areas, thereby supporting global users.

[0081] The visual experience providing unit can provide a customized tour guide based on a user's interests and concerns in a guide service at a tourist destination. For example, the visual experience providing unit develops a system that collects a user's interests and concerns in advance and provides a customized tour guide based on that data. For example, a user interested in history can be guided mainly to historical sites. The visual experience providing unit also analyzes a user's real-time behavioral data and introduces an algorithm that dynamically customizes the tour guide based on that data. For example, if a user stays in a particular location for a long time, information related to that location can be provided. The visual experience providing unit also builds a system that learns a user's interests and concerns and provides the optimal tour guide. For example, the system suggests the user's next destination based on places the user has visited in the past and themes that interest them. This allows for a more personalized sightseeing experience by providing a customized tour guide based on the user's interests and concerns.

[0082] The visual experience providing unit can develop a system for supporting learning in educational settings that dynamically adjusts content according to a student's learning progress and level of understanding. For example, the visual experience providing unit develops a system that analyzes a student's learning progress and level of understanding in real time and dynamically adjusts learning content based on that data. For example, it provides additional explanations and practice problems to students with low levels of understanding. The visual experience providing unit also introduces an algorithm that provides learning content tailored to individual needs based on the student's learning data. For example, it provides advanced problems to strengthen areas of strength. The visual experience providing unit also learns a student's learning progress and level of understanding and builds a system that provides optimal learning content. For example, it suggests what content should be learned next based on past learning data. In this way, individual learning needs can be met by dynamically adjusting content according to the student's learning progress and level of understanding.

[0083] The visual experience providing unit can use the emotion estimation function to adjust diagnostic and treatment approaches based on the patient's emotional state in diagnostic support in medical settings. The visual experience providing unit, for example, develops a system that analyzes a patient's emotional state in real time and adjusts diagnostic and treatment approaches based on that data. For example, if a patient is feeling anxious, it provides a relaxing environment. The visual experience providing unit also introduces an algorithm that automatically selects diagnostic and treatment approaches according to the patient's emotional state based on the emotion estimation data. For example, if the patient is relaxed, it provides a detailed explanation. The visual experience providing unit also builds a system that learns the patient's emotional state and provides the optimal diagnostic and treatment approach. For example, if the patient is emotionally calm, it explains a detailed treatment plan, and if the patient is emotionally agitated, it provides a concise explanation. This allows for more appropriate medical support by adjusting diagnostic and treatment approaches based on the patient's emotional state.

[0084] The Visual Experience Providing Department can expand the use of various services to different industries and develop new markets. For example, in the entertainment industry, the Visual Experience Providing Department will develop a system that provides new visual experiences using VR and AR. For example, it will provide immersive experiences at movies and live events. In the sports industry, the Visual Experience Providing Department will build a system that provides training and spectator experiences using VR and AR. For example, it will provide real-time feedback to athletes during training. In the business industry, the Visual Experience Providing Department will develop a system that provides presentation and meeting experiences using VR and AR. For example, it will enable real-time collaboration in virtual conference rooms. This will enable the use of services to be expanded to different industries, thereby developing new markets.

[0085] The visual experience providing unit can make it possible to provide various service usage across different devices. For example, the visual experience providing unit develops applications that provide service usage compatible with smartphones and tablets. For example, it provides AR guides on smartphones and VR presentations on tablets. The visual experience providing unit also builds a system that allows service usage to be performed seamlessly across different devices. For example, it makes it possible to continue a service started on a smartphone on a tablet. The visual experience providing unit also utilizes sensors in smartphones and tablets to introduce algorithms that optimize service usage. For example, it uses the device's acceleration sensor and gyro sensor to provide services according to the user's movements. This improves user convenience by providing service usage across different devices.

[0086] The visual experience providing unit can use the emotion estimation function to customize service content based on the user's emotions and provide a more personalized service. The visual experience providing unit, for example, develops a system that analyzes the user's emotional state in real time and customizes service content based on the data. For example, when the user is relaxed, a relaxing service is provided. The visual experience providing unit also introduces an algorithm that automatically selects service content according to the user's emotional state based on the emotion estimation data. For example, when the user is excited, an exciting service is provided. The visual experience providing unit also builds a system that learns the user's emotional state and provides optimal service content. For example, when the user is emotionally calm, a relaxing service is provided, and when the user is emotionally excited, an exciting service is provided. In this way, by customizing service content based on the user's emotions, a more personalized service is provided.

[0087] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0088] The visual experience providing unit can automatically switch between VR and AR modes based on the user's gaze tracking. The visual experience providing unit, for example, is equipped with a sensor that tracks the user's gaze and develops a system that automatically switches between VR and AR modes according to gaze movements. For example, when the user gazes in a specific direction, the system switches to VR mode, and when the user gazes in another direction, the system returns to AR mode. The visual experience providing unit also analyzes gaze tracking data in real time and implements an algorithm that switches to VR mode when the user's gaze is focused on a specific object. For example, when the user gazes at a specific point, VR content related to that point is displayed. The visual experience providing unit also learns the user's gaze movements and builds a system that switches between VR and AR at the optimal timing for each individual user. For example, it analyzes the user's gaze patterns to achieve a natural switching. This automatically switches between VR and AR modes based on the user's gaze, providing a more intuitive visual experience.

[0089] The visual experience provider can dynamically adjust VR and AR content according to the user's movements. For example, the visual experience provider develops an algorithm that tracks the user's movements in real time and dynamically adjusts the VR and AR content according to those movements. For example, when the user walks, surrounding AR objects move, and when the user stops, VR content is displayed. The visual experience provider also builds a system that seamlessly switches between VR and AR content based on the user's movements. For example, when the user moves their hand, AR objects react to that movement, and a specific gesture switches to VR mode. The visual experience provider also implements an algorithm that learns the user's movement patterns and changes the VR and AR content at the optimal timing. For example, when the user makes a specific movement, VR content related to that movement is displayed. This dynamically adjusts the VR and AR content according to the user's movements, providing a more interactive visual experience.

[0090] The visual experience providing unit can dynamically adjust VR and AR content according to the user's emotional state using an emotion estimation function. The visual experience providing unit, for example, develops a system that analyzes a user's facial expressions and voice to estimate the user's emotional state in real time. For example, if the user expresses surprise, VR content is displayed to enhance immersion. The visual experience providing unit also implements an algorithm that dynamically adjusts VR and AR content according to the user's emotional state based on the emotion estimation data. For example, if the user is relaxed, AR mode is maintained, and if the user is excited, VR mode is switched to. The visual experience providing unit also builds a system that learns the user's emotional state and adjusts VR and AR content at the optimal timing. For example, AR content is displayed when the user is emotionally calm, and VR content is displayed when the user is emotionally excited. This dynamically adjusts VR and AR content according to the user's emotional state, providing a more personalized visual experience.

[0091] The visual experience providing unit can provide VR and AR visual experiences even on different devices. The visual experience providing unit develops applications that provide VR and AR visual experiences compatible with smartphones and tablets, for example. For example, AR content is displayed using a smartphone camera, and the VR content is enjoyed using dedicated VR goggles. The visual experience providing unit also builds a system that allows VR and AR content to be shared seamlessly between different devices. For example, it makes it possible to continue an AR experience started on a smartphone on a tablet. The visual experience providing unit also utilizes the sensors of the smartphone or tablet to introduce algorithms that optimize the VR and AR visual experience. For example, it uses the device's acceleration sensor and gyro sensor to display content according to the user's movement. This improves user convenience by providing VR and AR visual experiences on different devices.

[0092] The visual experience providing unit enables multiple users to simultaneously share VR and AR visual experiences. The visual experience providing unit develops, for example, a system that enables multiple users to simultaneously share VR and AR visual experiences. For example, multiple users can communicate while viewing AR objects in the same space. The visual experience providing unit also introduces an algorithm that synchronizes each user's viewpoint and movement in real time in a multi-user system. For example, it enables user B to simultaneously view an AR object that user A is viewing. The visual experience providing unit also builds a system that synchronizes data via a network so that multiple users can simultaneously experience VR and AR content. For example, it shares each user's data in real time using a cloud server. This allows multiple users to simultaneously share VR and AR visual experiences, providing a more interactive experience.

[0093] The visual experience providing unit can customize VR and AR experiences based on the user's emotions and provide content that meets individual needs. For example, the visual experience providing unit develops a system that analyzes the user's emotional state in real time and customizes VR and AR content based on that data. For example, if the user is relaxed, it provides relaxing content. The visual experience providing unit also introduces an algorithm that provides VR and AR experiences that meet the user's individual needs based on the emotion estimation data. For example, if the user is excited, it provides VR content for an action game. The visual experience providing unit also builds a system that learns the user's emotional state and provides optimal content. For example, if the user is emotionally calm, it displays relaxing AR content, and if the user is emotionally excited, it displays exciting VR content. In this way, the VR and AR experiences can be customized based on the user's emotions, providing a more personalized experience.

[0094] The hearing support unit can analyze the surrounding sound environment in real time using a microphone built into the smart glasses and provide appropriate audio feedback. For example, the hearing support unit develops a system that collects surrounding sounds using a microphone built into the smart glasses and analyzes the sound environment in real time. For example, the volume of the audio guide is automatically adjusted in noisy environments. The hearing support unit also introduces an algorithm that analyzes the surrounding sound environment and provides appropriate audio feedback. For example, if the user is in a quiet place, the tone of the audio guide is changed to a calmer tone. The hearing support unit also builds a system that provides audio feedback according to the user's situation based on the sound data collected by the microphone in the smart glasses. For example, the audio guide is paused when the user is talking. In this way, the surrounding sound environment is analyzed in real time and appropriate audio feedback is provided, optimizing the user's hearing experience.

[0095] The auditory support unit can use the emotion estimation function to automatically select and provide audio guidance and music according to the user's emotional state. The auditory support unit, for example, develops a system that analyzes the user's facial expressions and voice to estimate the user's emotional state in real time. For example, if the user is relaxed, relaxing music is provided. The auditory support unit also introduces an algorithm that automatically selects audio guidance and music according to the user's emotional state based on the emotion estimation data. For example, energetic music is provided if the user is excited. The auditory support unit also builds a system that learns the user's emotional state and provides optimal audio guidance and music. For example, relaxing music is provided when the user is emotionally calm, and exciting music is provided when the user is emotionally excited. In this way, the auditory experience is personalized by providing audio guidance and music according to the user's emotional state.

[0096] The hearing support unit can be provided as a module specialized for different applications. For example, smart glasses specialized for sports can be developed to provide a function for displaying performance data in real time. For example, speed and heart rate can be displayed while running. In addition, smart glasses specialized for entertainment can be developed to provide a function for enhancing the visual experience of movies and games. For example, AR effects can be displayed to match movie scenes. In addition, smart glasses specialized for medical use can be developed to provide a function for displaying patient data to doctors during surgery in real time. For example, the patient's vital signs can be displayed during surgery. In this way, by providing modules specialized for different applications, hearing support tailored to user needs can be realized.

[0097] The hearing support unit can link with other wearable devices to provide integrated information. The hearing support unit will develop a system that links, for example, smart glasses and a smart watch to provide integrated information. For example, the heart rate measured by the smart watch will be displayed on the smart glasses. The hearing support unit will also link with other wearable devices to build a system that manages the user's health data in an integrated manner. For example, the number of steps and calorie consumption measured by the smart watch will be displayed on the smart glasses. The hearing support unit will also develop a system that synchronizes data between the smart glasses and the smart watch in real time to provide feedback based on the user's activity status. For example, the smart glasses will display appropriate advice based on data measured by the smart watch during exercise. In this way, by linking with other wearable devices, integrated information provision will be realized.

[0098] The auditory support unit can use the emotion estimation function to customize visual and auditory information based on the user's emotions, providing a more personalized experience. For example, the auditory support unit develops a system that analyzes the user's emotional state in real time and customizes visual and auditory information based on that data. For example, if the user is relaxed, it provides relaxing visual and auditory content. The auditory support unit also introduces an algorithm that automatically selects visual and auditory information according to the user's emotional state based on the emotion estimation data. For example, if the user is excited, it provides energetic music and visual effects. The auditory support unit also builds a system that learns the user's emotional state and provides optimal visual and auditory information. For example, if the user is emotionally calm, it provides relaxing visual and auditory content, and if the user is emotionally excited, it provides exciting content. In this way, the visual and auditory information can be customized based on the user's emotions, providing a more personalized experience.

[0099] The hands-free operation unit may incorporate a personalized voice recognition system that learns the characteristics of the user's voice to improve the accuracy of voice command recognition. The hands-free operation unit, for example, learns the characteristics of the user's voice and develops a system that improves the accuracy of voice command recognition. For example, the hands-free operation unit may analyze the tone and accent of the user's voice to provide individually optimized voice recognition. The hands-free operation unit may also incorporate a personalized voice recognition system and develop an algorithm that improves the accuracy of voice command recognition based on the characteristics of the user's voice. For example, the algorithm may learn the user's voice patterns to reduce recognition errors. The hands-free operation unit may also build a system that learns the characteristics of the user's voice in real time to dynamically improve the accuracy of voice command recognition. For example, the system may maintain high recognition accuracy even when the user uses voice commands in different environments. In this way, the system improves the accuracy of voice command recognition by learning the characteristics of the user's voice.

[0100] The hands-free operation unit may develop a hybrid recognition system that combines multiple sensors to improve the accuracy of gesture recognition. For example, the hands-free operation unit may develop a hybrid recognition system that combines multiple sensors to improve the accuracy of gesture recognition. For example, a camera and an infrared sensor may be combined to recognize hand movements with high accuracy. The hands-free operation unit may also introduce a hybrid recognition system and develop an algorithm that integrates data from multiple sensors to improve the accuracy of gesture recognition. For example, an acceleration sensor and a gyro sensor may be combined to accurately track hand movements. The hands-free operation unit may also synchronize multiple sensors in real time to build a system that dynamically improves the accuracy of gesture recognition. For example, the user's hand movements may be analyzed in real time to reduce false recognition. This improves the accuracy of gesture recognition by combining multiple sensors.

[0101] The hands-free operation unit can use an emotion estimation function to dynamically change the operation method according to the user's emotional state, providing an optimal operation experience. For example, a system is developed for the hands-free operation unit that analyzes the user's emotional state in real time and dynamically changes the operation method based on the data. For example, a simple operation method is provided when the user is relaxed. The hands-free operation unit also introduces an algorithm that automatically selects an operation method according to the user's emotional state based on the emotion estimation data. For example, an intuitive operation method is provided when the user is excited. The hands-free operation unit also builds a system that learns the user's emotional state and provides the optimal operation method. For example, a simple operation method is provided when the user is emotionally calm, and an exciting operation method is provided when the user is emotionally excited. This dynamically changes the operation method according to the user's emotional state, providing an optimal operation experience.

[0102] The hands-free operation unit can apply hands-free operation to different devices and provide an integrated operation environment. The hands-free operation unit develops a system that applies hands-free operation to smart home devices, for example, to provide an integrated operation environment. For example, a smart light or smart thermostat can be operated with a voice command. The hands-free operation unit also builds a system that allows seamless hands-free operation between different devices. For example, a smart TV can be operated with a voice command using smart glasses. The hands-free operation unit also introduces an algorithm that applies hands-free operation to different devices, allowing the user to have a consistent operation experience. For example, a smart watch can be used to control smart home devices. This provides an integrated operation environment by applying hands-free operation to different devices.

[0103] The hands-free operation unit can accommodate hands-free operation in different languages ​​and cultural areas, thereby supporting global users. The hands-free operation unit, for example, develops a system that supports hands-free operation in different languages. For example, it makes voice commands multilingual, allowing users to operate in their native language. The hands-free operation unit also introduces an algorithm that customizes the hands-free operation interface to accommodate different cultural areas. For example, it provides an operation method that takes cultural gestures and voice commands into consideration. The hands-free operation unit also makes the hands-free operation system multilingual to accommodate global users, allowing users from different cultural areas to operate it comfortably. For example, it learns the accents and pronunciations of each language to improve the recognition accuracy of voice commands. This allows it to accommodate different languages ​​and cultural areas, thereby supporting global users.

[0104] The visual experience providing unit can provide a customized tour guide based on a user's interests and concerns in a guide service at a tourist destination. For example, the visual experience providing unit develops a system that collects a user's interests and concerns in advance and provides a customized tour guide based on that data. For example, a user interested in history can be guided mainly to historical sites. The visual experience providing unit also analyzes a user's real-time behavioral data and introduces an algorithm that dynamically customizes the tour guide based on that data. For example, if a user stays in a particular location for a long time, information related to that location can be provided. The visual experience providing unit also builds a system that learns a user's interests and concerns and provides the optimal tour guide. For example, the system suggests the user's next destination based on places the user has visited in the past and themes that interest them. This allows for a more personalized sightseeing experience by providing a customized tour guide based on the user's interests and concerns.

[0105] The visual experience providing unit can develop a system for supporting learning in educational settings that dynamically adjusts content according to a student's learning progress and level of understanding. For example, the visual experience providing unit develops a system that analyzes a student's learning progress and level of understanding in real time and dynamically adjusts learning content based on that data. For example, it provides additional explanations and practice problems to students with low levels of understanding. The visual experience providing unit also introduces an algorithm that provides learning content tailored to individual needs based on the student's learning data. For example, it provides advanced problems to strengthen areas of strength. The visual experience providing unit also learns a student's learning progress and level of understanding and builds a system that provides optimal learning content. For example, it suggests what content should be learned next based on past learning data. In this way, individual learning needs can be met by dynamically adjusting content according to the student's learning progress and level of understanding.

[0106] The visual experience providing unit can use the emotion estimation function to adjust diagnostic and treatment approaches based on the patient's emotional state in diagnostic support in medical settings. The visual experience providing unit, for example, develops a system that analyzes a patient's emotional state in real time and adjusts diagnostic and treatment approaches based on that data. For example, if a patient is feeling anxious, it provides a relaxing environment. The visual experience providing unit also introduces an algorithm that automatically selects diagnostic and treatment approaches according to the patient's emotional state based on the emotion estimation data. For example, if the patient is relaxed, it provides a detailed explanation. The visual experience providing unit also builds a system that learns the patient's emotional state and provides the optimal diagnostic and treatment approach. For example, if the patient is emotionally calm, it explains a detailed treatment plan, and if the patient is emotionally agitated, it provides a concise explanation. This allows for more appropriate medical support by adjusting diagnostic and treatment approaches based on the patient's emotional state.

[0107] The Visual Experience Providing Department can expand the use of various services to different industries and develop new markets. For example, in the entertainment industry, the Visual Experience Providing Department will develop a system that provides new visual experiences using VR and AR. For example, it will provide immersive experiences at movies and live events. In the sports industry, the Visual Experience Providing Department will build a system that provides training and spectator experiences using VR and AR. For example, it will provide real-time feedback to athletes during training. In the business industry, the Visual Experience Providing Department will develop a system that provides presentation and meeting experiences using VR and AR. For example, it will enable real-time collaboration in virtual conference rooms. This will enable the use of services to be expanded to different industries, thereby developing new markets.

[0108] The visual experience providing unit can make it possible to provide various service usage across different devices. For example, the visual experience providing unit develops applications that provide service usage compatible with smartphones and tablets. For example, it provides AR guides on smartphones and VR presentations on tablets. The visual experience providing unit also builds a system that allows service usage to be performed seamlessly across different devices. For example, it makes it possible to continue a service started on a smartphone on a tablet. The visual experience providing unit also utilizes sensors in smartphones and tablets to introduce algorithms that optimize service usage. For example, it uses the device's acceleration sensor and gyro sensor to provide services according to the user's movements. This improves user convenience by providing service usage across different devices.

[0109] The visual experience providing unit can use the emotion estimation function to customize service content based on the user's emotions and provide a more personalized service. The visual experience providing unit, for example, develops a system that analyzes the user's emotional state in real time and customizes service content based on the data. For example, when the user is relaxed, a relaxing service is provided. The visual experience providing unit also introduces an algorithm that automatically selects service content according to the user's emotional state based on the emotion estimation data. For example, when the user is excited, an exciting service is provided. The visual experience providing unit also builds a system that learns the user's emotional state and provides optimal service content. For example, when the user is emotionally calm, a relaxing service is provided, and when the user is emotionally excited, an exciting service is provided. In this way, by customizing service content based on the user's emotions, a more personalized service is provided.

[0110] The processing flow of the second embodiment will be briefly explained below.

[0111] Step 1: The visual experience provider provides a visual experience that combines VR and AR technologies. For example, a head-mounted display can be used to provide a completely immersive experience in a virtual world. It can also use projection mapping or smart glasses to overlay digital information on real-world scenes. Step 2: The hearing support unit provides audio guides and music. For example, audio guides for sightseeing, relaxation music, and educational audio guides can be provided. Step 3: The hands-free operation unit operates the device using voice commands or gesture recognition. For example, it can recognize specific phrases to operate the device, or recognize hand or head movements to operate the device.

[0112] 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.

[0113] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> 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.

[0114] 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.

[0115] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0116] 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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).

[0121] 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.

[0122] 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.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] 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.

[0128] 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 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.

[0129] 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.

[0130] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0131] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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).

[0136] 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.

[0137] 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.

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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 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.

[0144] 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.

[0145] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0146] 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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).

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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.

[0156] 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.

[0157] 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.

[0158] 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.

[0159] 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 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.

[0160] 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.

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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).

[0165] 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 area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0166] 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."

[0167] 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.

[0168] 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.

[0169] 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.

[0170] 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.

[0171] 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.

[0172] 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.

[0173] 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.

[0174] 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.

[0175] 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.

[0176] 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.

[0177] 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.

[0178] 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]

[0179] 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. The Visual Experience Department provides a visual experience that combines VR and AR technologies, The hearing support department provides audio guides and music, A hands-free operation unit that operates the device using voice commands and gesture recognition. A system characterized by:

2. The visual experience providing unit Automatically switching between the VR and AR modes based on user gaze tracking 2. The system of claim 1.

3. The visual experience providing unit Dynamically adjust the VR and AR content according to user movements.

2. The system of claim 1.

4. The visual experience providing unit Dynamically adjusting the VR and AR content according to the user's emotional state 2. The system of claim 1.

5. The visual experience providing unit Providing the VR and AR visual experiences across different devices 2. The system of claim 1.

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