System

Abstract

An object of the system according to the embodiment is to provide a new experience by storing recycling of unnecessary toys and memories thereof in a Metaverse space.SOLUTION: A system includes a recycle unit, a recording unit, a storage unit, a reproduction unit, and an interaction unit. The recycling part recycles the unnecessary toys. The recording part records a memory of the toy recycled by the recycling part by a photograph, a moving image and a voice. The storage unit stores the data recorded by the recording unit in the Metaverse space. The reproducing unit reproduces the memorable toy in the 3D model. The interaction unit interacts with another user by using the 3D model reproduced by the reproduction unit.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 does not adequately provide a way to recycle unwanted toys and preserve their memories in a permanent manner, and there is room for improvement.

[0005] The system of the embodiment aims to recycle unwanted toys and store the memories of them in the metaverse space, thereby providing a new experience. [Means for solving the problem]

[0006] The system according to the embodiment includes a recycling unit, a recording unit, a storage unit, a reproduction unit, and an exchange unit. The recycling unit recycles toys that are no longer needed. The recording unit records memories of the toys recycled by the recycling unit using photos, videos, and audio. The storage unit stores the data recorded by the recording unit in the metaverse space. The reproduction unit reproduces the memorable toy as a 3D model based on the data stored by the storage unit. The exchange unit uses the 3D model reproduced by the reproduction unit to interact with other users. [Effects of the Invention]

[0007] The system according to the embodiment can recycle unwanted toys and store the memories of them in the metaverse space, providing new experiences. [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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[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 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

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

[0028] (Example 1) The recycling and metaverse preservation system according to an embodiment of the present invention is a system for recycling unwanted toys, preserving memories in the metaverse space, recreating them as 3D models, and interacting with other users. As a result, the recycling and metaverse preservation system can recycle unwanted toys, preserve memories forever, and provide new experiences.

[0029] A recycling and metaverse storage system according to an embodiment includes a recycling unit, a recording unit, a storage unit, a reproduction unit, and an exchange unit. The recycling unit recycles unwanted toys. For example, the recycling unit melts plastic toys to reuse them as materials for new products. The recycling unit can also re-refine metal parts to use in new products. The recycling unit can also turn paper toys back into pulp for reuse. The recording unit records memories of toys recycled by the recycling unit using photos, videos, and audio. For example, the recording unit stores photos uploaded by users. The recording unit can also store audio recorded by users. The recording unit can also store videos taken by users. The storage unit stores data recorded by the recording unit in the metaverse space. For example, the storage unit stores data using cloud storage. The storage unit can also store data using distributed storage. The storage unit can also store data using local storage. The reproduction unit recreates the memorable toy as a 3D model based on the data stored by the storage unit. For example, the reproduction unit may create a 3D model of the toy using a 3D scanner. Alternatively, the reproduction unit may create the 3D model of the toy using 3D modeling software. Alternatively, the reproduction unit may create the 3D model of the toy using photogrammetry technology. The communication unit interacts with other users using the 3D model reproduced by the reproduction unit. For example, the communication unit may provide a chat function. Alternatively, the communication unit may provide a video call function. Alternatively, the communication unit may provide a collaboration function. As a result, the recycling and metaverse preservation system according to the embodiment can recycle unwanted toys, preserve memories forever, and provide new experiences.

[0030] The recycling department uses recycled materials to manufacture new toys designed by users using a 3D printer. For example, the user creates a new toy design using a dedicated application and sends the design data to a recycling facility. The recycling facility then uses a 3D printer to manufacture new toys based on the user's design. The recycling department can also provide materials for manufacturing toys designed by users using a 3D printer. The recycling department can also provide support for manufacturing toys designed by users using a 3D printer. This allows newly designed toys to be manufactured using recycled materials using a 3D printer.

[0031] The recycling department analyzes the characteristics of materials in the recycling process and automatically selects the optimal recycling method. For example, the recycling department may install a system at a recycling facility that automatically analyzes the materials of collected toys. For example, the system may identify materials such as plastic, metal, and wood and select the optimal recycling method for each. The recycling department may also use sensors to analyze the characteristics of materials. The recycling department may also use algorithms to select the optimal recycling method. This allows the characteristics of materials to be analyzed and the optimal recycling method to be automatically selected.

[0032] The storage unit generates an interactive storybook based on memories recorded by the user. The storage unit generates an interactive storybook based on memories recorded by the user, for example, in a metaverse space. For example, photos and videos may be arranged on each page, allowing the user to look back on memories by turning the pages. The storage unit may also provide a tool for generating an interactive storybook based on memories recorded by the user. The storage unit may also provide support for generating an interactive storybook based on memories recorded by the user. This makes it possible to generate an interactive storybook based on recorded memories.

[0033] The communication unit publishes the memories recorded by the user as a public gallery that can be shared with other users, thereby creating content that evokes empathy. The communication unit, for example, publishes the memories recorded by the user as a public gallery, allowing them to be shared with other users. For example, it displays memorable photos and videos in a gallery format, allowing other users to comment and like the photos. The communication unit can also publish the memories recorded by the user as a public gallery and provide tools for creating content that evokes empathy. The communication unit can also publish the memories recorded by the user as a public gallery and provide support for creating content that evokes empathy. This allows the memories recorded by the user to be shared with other users, allowing them to create content that evokes empathy.

[0034] The communication unit generates and exhibits virtual artworks based on memories recorded by a user in the metaverse space. The communication unit provides, for example, a function for generating and exhibiting virtual artworks based on memories recorded by a user in the metaverse space. For example, the communication unit processes photos and videos into artworks and exhibits them in a virtual gallery. The communication unit can also provide tools for generating virtual artworks based on memories recorded by a user. The communication unit can also provide support for generating virtual artworks based on memories recorded by a user. This allows virtual artworks to be generated and exhibited based on recorded memories.

[0035] The reproduction unit allows the user to play a virtual game using a toy that brings back memories. The reproduction unit provides, for example, a function that allows the user to play a virtual game using a toy that brings back memories in the metaverse space. For example, the reproduction unit can reproduce a toy that the user played with as a child and allow the user to enjoy a game using that toy. The reproduction unit can also provide tools for the user to use in playing a virtual game using a toy that brings back memories. The reproduction unit can also provide support for the user to play a virtual game using a toy that brings back memories. This allows the user to play a virtual game using a toy that brings back memories.

[0036] The reproduction unit allows a user to collaborate with other users to create a virtual project using toys from their memories. The reproduction unit provides a function in which a user collaborates with other users to create a virtual project using toys from their memories, for example, in a metaverse space. For example, users collaborate with each other to create a toy theme park in a virtual space. The reproduction unit can also provide tools that allow a user to collaborate with other users to create a virtual project. The reproduction unit can also provide support for a user to collaborate with other users to create a virtual project. This allows a user to collaborate with other users to create a virtual project using toys from their memories.

[0037] The communication unit allows users to hold virtual workshops using toys that are memorable to them. The communication unit provides, for example, a function that allows users to hold virtual workshops using toys that are memorable to them in the metaverse space. For example, a user can teach other users how to make things using their own toys that are memorable to them. The communication unit can also provide tools that allow users to hold virtual workshops. The communication unit can also provide support for users to hold virtual workshops. This allows users to hold virtual workshops using toys that are memorable to them.

[0038] The communication unit allows users to interact with other users in real time and jointly hold a virtual event using toys that are fond of memories. The communication unit provides a function that allows users to interact with other users in real time and jointly hold a virtual event using toys that are fond of memories, for example, in a metaverse space. For example, users cooperate to hold a toy exhibition in a virtual space. The communication unit can also provide tools that allow users to interact with other users in real time and hold a virtual event. The communication unit can also provide support for users to interact with other users in real time and hold a virtual event. This allows users to interact with other users in real time and jointly hold a virtual event using toys that are fond of memories.

[0039] The re-enactment unit allows the user to experience a virtual adventure using a toy from their memories. The re-enactment unit provides a function that allows the user to experience a virtual adventure using a toy from their memories, for example, in a metaverse space. For example, the user can enjoy an adventure in a virtual space using their toy from their memories. The re-enactment unit can also provide tools for the user to experience the virtual adventure. The re-enactment unit can also provide support for the user to experience the virtual adventure. This allows the user to experience a virtual adventure using a toy from their memories.

[0040] The reproduction unit allows a user to collaborate with other users to design and share a new virtual toy. The reproduction unit provides a function whereby a user collaborates with other users to design and share a new virtual toy, for example, in a metaverse space. For example, users collaborate with each other to design a new toy in a virtual space and share the design. The reproduction unit can also provide tools that allow a user to collaborate with other users to design a new virtual toy. The reproduction unit can also provide support for a user to collaborate with other users to design a new virtual toy. This allows a user to collaborate with other users to design and share a new virtual toy.

[0041] The reproduction unit allows a user to build a virtual museum using toys that are memorable to the user and share it with other users. The reproduction unit provides a function that allows a user to build a virtual museum using toys that are memorable to the user and share it with other users, for example, in a metaverse space. For example, a user can create a virtual museum that exhibits their favorite toys and allow other users to visit it. The reproduction unit can also provide tools for the user to build the virtual museum. The reproduction unit can also provide support for the user to build the virtual museum. This allows a virtual museum using toys that are memorable to the user to build and share with other users.

[0042] The reproduction unit allows a user to interact with other users in real time and jointly host a new virtual event. The reproduction unit provides a function that allows a user to interact with other users in real time and jointly host a new virtual event, for example, in a metaverse space. For example, users cooperate with each other to plan and implement a new event in a virtual space. The reproduction unit can also provide tools that allow a user to interact with other users in real time and host a virtual event. The reproduction unit can also provide support for a user to interact with other users in real time and host a virtual event. This allows a user to interact with other users in real time and jointly host a new virtual event.

[0043] The recycling department develops new environmentally friendly products using recycled materials and supports environmental protection activities through the sale of those products. The recycling department, for example, develops new environmentally friendly products using recycled materials. For example, it manufactures eco-bags using recycled plastics and household products using recycled metals. The recycling department can also provide materials for the development of new environmentally friendly products. The recycling department can also provide support for the development of new environmentally friendly products. In this way, it is possible to develop new environmentally friendly products using recycled materials and support environmental protection activities through the sale of those products.

[0044] The recycling department introduces a system that reports each step of the recycling process to users in real time in order to increase the transparency of the recycling process. For example, the recycling department introduces a system that reports each step of the recycling process to users in real time in order to increase the transparency of the recycling process. For example, the recycling department may provide live streaming of the work status at the recycling facility. The recycling department may also provide an application that notifies users of each step of the recycling process. The recycling department may also provide a dashboard that reports each step of the recycling process to users. This increases the transparency of the recycling process and allows each step to be reported to users in real time.

[0045] The recycling department provides a service of manufacturing household goods and accessories with a design selected by a user using recycled materials. For example, the recycling department allows a user to create a design for the household goods and accessories using a dedicated application and send the design data to a recycling facility. The recycling facility then manufactures new products based on the user's design. The recycling department can also provide materials for manufacturing the household goods and accessories with the design selected by the user. The recycling department can also provide support for manufacturing the household goods and accessories with the design selected by the user. This allows a service to be provided of manufacturing household goods and accessories with the design selected by the user using recycled materials.

[0046] The recycling department provides a virtual tour that allows users to observe the recycling process and adds educational content that allows users to learn about the importance of recycling. The recycling department, for example, provides a virtual tour of a recycling facility that allows users to observe the recycling process. For example, a 360-degree camera is used to film the inside of the facility and create content that users can freely tour. The recycling department can also provide educational content that allows users to learn about the importance of recycling. The recycling department can also customize educational content that allows users to learn about the importance of recycling. This allows the department to provide a virtual tour that allows users to observe the recycling process and adds educational content that allows users to learn about the importance of recycling.

[0047] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0048] The recycling department uses recycled materials to manufacture new toys designed by users using a 3D printer. For example, a user creates a design for a new toy using a dedicated application and sends the design data to a recycling facility. The recycling facility then uses a 3D printer to manufacture new toys based on the user's design. The recycling department can also provide materials for manufacturing toys designed by users using a 3D printer. The recycling department can also provide support for manufacturing toys designed by users using a 3D printer. This allows newly designed toys to be manufactured using recycled materials using a 3D printer.

[0049] The recycling department analyzes the characteristics of materials in the recycling process and automatically selects the optimal recycling method. For example, a recycling facility may introduce a system that automatically analyzes the materials of collected toys. For example, the system may identify materials such as plastic, metal, and wood and select the optimal recycling method for each. The recycling department may also use sensors to analyze the characteristics of materials. The recycling department may also use algorithms to select the optimal recycling method. This allows the characteristics of materials to be analyzed and the optimal recycling method to be automatically selected.

[0050] The storage unit generates an interactive storybook based on memories recorded by the user. For example, an interactive storybook based on memories recorded by the user is generated in the metaverse space. For example, photos and videos are arranged on each page, and the user can look back on memories by turning the pages. The storage unit can also provide tools for generating an interactive storybook based on memories recorded by the user. The storage unit can also provide support for generating an interactive storybook based on memories recorded by the user. This makes it possible to generate an interactive storybook based on recorded memories.

[0051] The communication unit publishes memories recorded by a user as a public gallery that can be shared with other users, thereby creating content that evokes empathy. For example, a user can publish memories recorded by a user as a public gallery and share them with other users. For example, memorable photos and videos can be displayed in a gallery format, allowing other users to comment and like the photos. The communication unit can also publish memories recorded by a user as a public gallery and provide tools for creating content that evokes empathy. The communication unit can also publish memories recorded by a user as a public gallery and provide support for creating content that evokes empathy. This allows a user to share memories recorded by a user as a public gallery and create content that evokes empathy.

[0052] The communication unit generates and exhibits virtual artworks based on memories recorded by a user in the metaverse space. For example, the communication unit provides a function for generating and exhibiting virtual artworks based on memories recorded by a user in the metaverse space. For example, the communication unit processes photos and videos into artworks and exhibits them in a virtual gallery. The communication unit can also provide tools for generating virtual artworks based on memories recorded by a user. The communication unit can also provide support for generating virtual artworks based on memories recorded by a user. This allows virtual artworks to be generated and exhibited based on recorded memories.

[0053] The reproduction unit allows the user to play a virtual game using a toy that brings back memories. For example, a function is provided that allows the user to play a virtual game using a toy that brings back memories in the metaverse space. For example, the toy that the user played with as a child can be reproduced and the user can enjoy a game using the toy. The reproduction unit can also provide tools for the user to play a virtual game using a toy that brings back memories. The reproduction unit can also provide support for the user to play a virtual game using a toy that brings back memories. This allows the user to play a virtual game using a toy that brings back memories.

[0054] The processing flow of the first embodiment will be briefly explained below.

[0055] Step 1: The recycling department recycles unwanted toys. For example, plastic toys are melted down to be reused as materials for new products, metal parts are re-smelted to be used in new products, and paper toys are turned back into pulp for reuse. Step 2: The recording unit records memories of the toys recycled by the recycling unit using photos, videos, and audio. For example, it stores photos uploaded by users, audio recordings, and video recordings. Step 3: The storage unit stores the data recorded by the recording unit in the metaverse space. For example, the data may be stored using cloud storage, distributed storage, or local storage. Step 4: The Reconstruction Department recreates the memorable toy in 3D using the data stored by the Preservation Department, for example, by using a 3D scanner, 3D modeling software, and photogrammetry techniques. Step 5: The interaction unit interacts with other users using the 3D model reproduced by the reproduction unit, providing, for example, chat, video calling, and collaboration functions.

[0056] (Example 2) The recycling and metaverse preservation system according to an embodiment of the present invention is a system for recycling unwanted toys, preserving memories in the metaverse space, recreating them as 3D models, and interacting with other users. As a result, the recycling and metaverse preservation system can recycle unwanted toys, preserve memories forever, and provide new experiences.

[0057] A recycling and metaverse storage system according to an embodiment includes a recycling unit, a recording unit, a storage unit, a reproduction unit, and an exchange unit. The recycling unit recycles unwanted toys. For example, the recycling unit melts plastic toys to reuse them as materials for new products. The recycling unit can also re-refine metal parts to use in new products. The recycling unit can also turn paper toys back into pulp for reuse. The recording unit records memories of toys recycled by the recycling unit using photos, videos, and audio. For example, the recording unit stores photos uploaded by users. The recording unit can also store audio recorded by users. The recording unit can also store videos taken by users. The storage unit stores data recorded by the recording unit in the metaverse space. For example, the storage unit stores data using cloud storage. The storage unit can also store data using distributed storage. The storage unit can also store data using local storage. The reproduction unit recreates the memorable toy as a 3D model based on the data stored by the storage unit. For example, the reproduction unit may create a 3D model of the toy using a 3D scanner. Alternatively, the reproduction unit may create the 3D model of the toy using 3D modeling software. Alternatively, the reproduction unit may create the 3D model of the toy using photogrammetry technology. The communication unit interacts with other users using the 3D model reproduced by the reproduction unit. For example, the communication unit may provide a chat function. Alternatively, the communication unit may provide a video call function. Alternatively, the communication unit may provide a collaboration function. As a result, the recycling and metaverse preservation system according to the embodiment can recycle unwanted toys, preserve memories forever, and provide new experiences.

[0058] The recycling department uses recycled materials to manufacture new toys designed by users using a 3D printer. For example, the user creates a new toy design using a dedicated application and sends the design data to a recycling facility. The recycling facility then uses a 3D printer to manufacture new toys based on the user's design. The recycling department can also provide materials for manufacturing toys designed by users using a 3D printer. The recycling department can also provide support for manufacturing toys designed by users using a 3D printer. This allows newly designed toys to be manufactured using recycled materials using a 3D printer.

[0059] The recycling department analyzes the characteristics of materials in the recycling process and automatically selects the optimal recycling method. For example, the recycling department may install a system at a recycling facility that automatically analyzes the materials of collected toys. For example, the system may identify materials such as plastic, metal, and wood and select the optimal recycling method for each. The recycling department may also use sensors to analyze the characteristics of materials. The recycling department may also use algorithms to select the optimal recycling method. This allows the characteristics of materials to be analyzed and the optimal recycling method to be automatically selected.

[0060] The recycling unit uses the emotion estimation function to analyze the emotions the user has toward recycling and provides a recycling experience that elicits positive emotions. The recycling unit, for example, uses the emotion estimation function to analyze the emotions the user has toward recycling in real time. For example, the recycling unit analyzes the facial expressions and voice of the user when they visit a recycling facility and provides feedback that elicits positive emotions. The recycling unit can also customize the recycling experience so that the user has positive emotions toward recycling. The recycling unit can also guide the recycling experience so that the user has positive emotions toward recycling. In this way, a recycling experience can be provided that elicits positive emotions toward recycling.

[0061] The recording unit uses a generation AI to automatically generate emotional captions and stories for memories. The recording unit, for example, uses a generation AI to automatically generate emotional captions for photos and videos uploaded by users. For example, the recording unit analyzes the facial expressions of people in the photos and the background, and adds captions based on emotions. The recording unit can also use a generation AI to automatically generate emotional stories for photos and videos uploaded by users. The recording unit can also use a generation AI to automatically generate emotional comments for photos and videos uploaded by users. This makes it possible to automatically generate emotional captions and stories for memories.

[0062] The storage unit generates an interactive storybook based on memories recorded by the user. The storage unit generates an interactive storybook based on memories recorded by the user, for example, in a metaverse space. For example, photos and videos may be arranged on each page, allowing the user to look back on memories by turning the pages. The storage unit may also provide a tool for generating an interactive storybook based on memories recorded by the user. The storage unit may also provide support for generating an interactive storybook based on memories recorded by the user. This makes it possible to generate an interactive storybook based on recorded memories.

[0063] The storage unit uses the emotion estimation function to analyze the emotional value of memories recorded by the user and propose a design for the virtual space based on the emotion. The storage unit, for example, uses the emotion estimation function to analyze the emotional value of memories recorded by the user. For example, the storage unit analyzes the facial expressions and voices of people appearing in photos and videos to calculate an emotion score. The storage unit can also use the emotion estimation function to analyze the emotional value of memories recorded by the user and propose a design for the virtual space based on the emotion. The storage unit can also use the emotion estimation function to analyze the emotional value of memories recorded by the user and customize the design for the virtual space based on the emotion. In this way, the emotional value of the recorded memories can be analyzed and a design for the virtual space based on the emotion can be proposed.

[0064] The communication unit publishes the memories recorded by the user as a public gallery that can be shared with other users, thereby creating content that evokes empathy. The communication unit, for example, publishes the memories recorded by the user as a public gallery, allowing them to be shared with other users. For example, it displays memorable photos and videos in a gallery format, allowing other users to comment and like the photos. The communication unit can also publish the memories recorded by the user as a public gallery and provide tools for creating content that evokes empathy. The communication unit can also publish the memories recorded by the user as a public gallery and provide support for creating content that evokes empathy. This allows the memories recorded by the user to be shared with other users, allowing them to create content that evokes empathy.

[0065] The communication unit generates and exhibits virtual artworks based on memories recorded by a user in the metaverse space. The communication unit provides, for example, a function for generating and exhibiting virtual artworks based on memories recorded by a user in the metaverse space. For example, the communication unit processes photos and videos into artworks and exhibits them in a virtual gallery. The communication unit can also provide tools for generating virtual artworks based on memories recorded by a user. The communication unit can also provide support for generating virtual artworks based on memories recorded by a user. This allows virtual artworks to be generated and exhibited based on recorded memories.

[0066] The communication unit uses the emotion estimation function to collect other users' emotional reactions to the memories recorded by the user and provides feedback to promote empathy. The communication unit, for example, uses the emotion estimation function to collect other users' emotional reactions to the memories recorded by the user. For example, the communication unit analyzes the facial expressions and voices of other users when they view photos or videos and calculates an emotion score. The communication unit can also use the emotion estimation function to collect other users' emotional reactions to the memories recorded by the user and provide feedback to promote empathy. The communication unit can also use the emotion estimation function to collect other users' emotional reactions to the memories recorded by the user and customize feedback to promote empathy. In this way, it is possible to collect other users' emotional reactions to the recorded memories and provide feedback to promote empathy.

[0067] The reproduction unit allows the user to play a virtual game using a toy that brings back memories. The reproduction unit provides, for example, a function that allows the user to play a virtual game using a toy that brings back memories in the metaverse space. For example, the reproduction unit can reproduce a toy that the user played with as a child and allow the user to enjoy a game using that toy. The reproduction unit can also provide tools for the user to use in playing a virtual game using a toy that brings back memories. The reproduction unit can also provide support for the user to play a virtual game using a toy that brings back memories. This allows the user to play a virtual game using a toy that brings back memories.

[0068] The reproduction unit allows a user to collaborate with other users to create a virtual project using toys from their memories. The reproduction unit provides a function in which a user collaborates with other users to create a virtual project using toys from their memories, for example, in a metaverse space. For example, users collaborate with each other to create a toy theme park in a virtual space. The reproduction unit can also provide tools that allow a user to collaborate with other users to create a virtual project. The reproduction unit can also provide support for a user to collaborate with other users to create a virtual project. This allows a user to collaborate with other users to create a virtual project using toys from their memories.

[0069] The reproducing unit uses the emotion estimation function to analyze the emotions the user feels during their experience in the metaverse space and provides interactions to reinforce the positive experience. The reproducing unit, for example, uses the emotion estimation function to analyze the emotions the user feels during their experience in the metaverse space in real time. For example, it analyzes the user's facial expressions and voice and provides interactions to elicit positive emotions. The reproducing unit can also analyze the emotions the user feels during their experience in the metaverse space and customize interactions to reinforce the positive experience. The reproducing unit can also analyze the emotions the user feels during their experience in the metaverse space and guide interactions to reinforce the positive experience. This makes it possible to analyze the emotions the user feels during their experience in the metaverse space and provide interactions to reinforce the positive experience.

[0070] The communication unit allows users to hold virtual workshops using toys that are memorable to them. The communication unit provides, for example, a function that allows users to hold virtual workshops using toys that are memorable to them in the metaverse space. For example, a user can teach other users how to make things using their own toys that are memorable to them. The communication unit can also provide tools that allow users to hold virtual workshops. The communication unit can also provide support for users to hold virtual workshops. This allows users to hold virtual workshops using toys that are memorable to them.

[0071] The communication unit allows users to interact with other users in real time and jointly hold a virtual event using toys that are fond of memories. The communication unit provides a function that allows users to interact with other users in real time and jointly hold a virtual event using toys that are fond of memories, for example, in a metaverse space. For example, users cooperate to hold a toy exhibition in a virtual space. The communication unit can also provide tools that allow users to interact with other users in real time and hold a virtual event. The communication unit can also provide support for users to interact with other users in real time and hold a virtual event. This allows users to interact with other users in real time and jointly hold a virtual event using toys that are fond of memories.

[0072] The communication unit uses the emotion estimation function to monitor the emotions felt by the user during their experience in the metaverse space in real time and provide positive feedback. The communication unit, for example, uses the emotion estimation function to monitor the emotions felt by the user during their experience in the metaverse space in real time. For example, the communication unit analyzes the user's facial expressions and voice and provides feedback to elicit positive emotions. The communication unit can also provide tools for monitoring the emotions felt by the user during their experience in the metaverse space in real time and providing positive feedback. The communication unit can also provide support for monitoring the emotions felt by the user during their experience in the metaverse space in real time and providing positive feedback. This makes it possible to monitor the emotions felt by the user during their experience in the metaverse space in real time and provide positive feedback.

[0073] The re-enactment unit allows the user to experience a virtual adventure using a toy from their memories. The re-enactment unit provides a function that allows the user to experience a virtual adventure using a toy from their memories, for example, in a metaverse space. For example, the user can enjoy an adventure in a virtual space using their toy from their memories. The re-enactment unit can also provide tools for the user to experience the virtual adventure. The re-enactment unit can also provide support for the user to experience the virtual adventure. This allows the user to experience a virtual adventure using a toy from their memories.

[0074] The reproduction unit allows a user to collaborate with other users to design and share a new virtual toy. The reproduction unit provides a function whereby a user collaborates with other users to design and share a new virtual toy, for example, in a metaverse space. For example, users collaborate with each other to design a new toy in a virtual space and share the design. The reproduction unit can also provide tools that allow a user to collaborate with other users to design a new virtual toy. The reproduction unit can also provide support for a user to collaborate with other users to design a new virtual toy. This allows a user to collaborate with other users to design and share a new virtual toy.

[0075] The reproduction unit uses the emotion estimation function to analyze the emotions of the user when creating a new experience and provides an interaction to reinforce the positive experience. The reproduction unit, for example, uses the emotion estimation function to analyze the emotions of the user when creating a new experience in real time. For example, it analyzes the user's facial expressions and voice and provides an interaction to elicit positive emotions. The reproduction unit can also analyze the emotions of the user when creating a new experience and customize an interaction to reinforce the positive experience. The reproduction unit can also analyze the emotions of the user when creating a new experience and guide an interaction to reinforce the positive experience. In this way, it is possible to analyze the emotions of the user when creating a new experience and provide an interaction to reinforce the positive experience.

[0076] The reproduction unit allows a user to build a virtual museum using toys that are memorable to the user and share it with other users. The reproduction unit provides a function that allows a user to build a virtual museum using toys that are memorable to the user and share it with other users, for example, in a metaverse space. For example, a user can create a virtual museum that exhibits their favorite toys and allow other users to visit it. The reproduction unit can also provide tools for the user to build the virtual museum. The reproduction unit can also provide support for the user to build the virtual museum. This allows a virtual museum using toys that are memorable to the user to build and share with other users.

[0077] The reproduction unit allows a user to interact with other users in real time and jointly host a new virtual event. The reproduction unit provides a function that allows a user to interact with other users in real time and jointly host a new virtual event, for example, in a metaverse space. For example, users cooperate with each other to plan and implement a new event in a virtual space. The reproduction unit can also provide tools that allow a user to interact with other users in real time and host a virtual event. The reproduction unit can also provide support for a user to interact with other users in real time and host a virtual event. This allows a user to interact with other users in real time and jointly host a new virtual event.

[0078] The reproduction unit uses the emotion estimation function to monitor the emotions of the user when creating a new experience in real time and provide positive feedback. The reproduction unit, for example, uses the emotion estimation function to monitor the emotions of the user when creating a new experience in real time. For example, it analyzes the user's facial expressions and voice and provides feedback to elicit positive emotions. The reproduction unit can also provide tools for monitoring the emotions of the user when creating a new experience in real time and providing positive feedback. The reproduction unit can also monitor the emotions of the user when creating a new experience in real time and provide support for providing positive feedback. This makes it possible to monitor the emotions of the user when creating a new experience in real time and provide positive feedback.

[0079] The recycling department develops new environmentally friendly products using recycled materials and supports environmental protection activities through the sale of those products. The recycling department, for example, develops new environmentally friendly products using recycled materials. For example, it manufactures eco-bags using recycled plastics and household products using recycled metals. The recycling department can also provide materials for the development of new environmentally friendly products. The recycling department can also provide support for the development of new environmentally friendly products. In this way, it is possible to develop new environmentally friendly products using recycled materials and support environmental protection activities through the sale of those products.

[0080] The recycling department introduces a system that reports each step of the recycling process to users in real time in order to increase the transparency of the recycling process. For example, the recycling department introduces a system that reports each step of the recycling process to users in real time in order to increase the transparency of the recycling process. For example, the recycling department may provide live streaming of the work status at the recycling facility. The recycling department may also provide an application that notifies users of each step of the recycling process. The recycling department may also provide a dashboard that reports each step of the recycling process to users. This increases the transparency of the recycling process and allows each step to be reported to users in real time.

[0081] The recycling unit uses the emotion estimation function to analyze the emotions the user has toward recycling activities and provides educational content to elicit positive emotions. The recycling unit, for example, uses the emotion estimation function to analyze the emotions the user has toward recycling activities in real time. For example, it analyzes the user's facial expressions and voice and provides educational content to elicit positive emotions. The recycling unit can also customize the educational content so that the user has positive emotions toward recycling activities. The recycling unit can also guide the user through the educational content so that the user has positive emotions toward recycling activities. In this way, it is possible to analyze the emotions the user has toward recycling activities and provide educational content to elicit positive emotions.

[0082] The recycling department provides a service of manufacturing household goods and accessories with a design selected by a user using recycled materials. For example, the recycling department allows a user to create a design for the household goods and accessories using a dedicated application and send the design data to a recycling facility. The recycling facility then manufactures new products based on the user's design. The recycling department can also provide materials for manufacturing the household goods and accessories with the design selected by the user. The recycling department can also provide support for manufacturing the household goods and accessories with the design selected by the user. This allows a service to be provided of manufacturing household goods and accessories with the design selected by the user using recycled materials.

[0083] The recycling department provides a virtual tour that allows users to observe the recycling process and adds educational content that allows users to learn about the importance of recycling. The recycling department, for example, provides a virtual tour of a recycling facility that allows users to observe the recycling process. For example, a 360-degree camera is used to film the inside of the facility and create content that users can freely tour. The recycling department can also provide educational content that allows users to learn about the importance of recycling. The recycling department can also customize educational content that allows users to learn about the importance of recycling. This allows the department to provide a virtual tour that allows users to observe the recycling process and adds educational content that allows users to learn about the importance of recycling.

[0084] The recycling unit uses an emotion estimation function to monitor the user's emotions during the recycling process in real time and provide positive feedback. The recycling unit, for example, uses the emotion estimation function to monitor the user's emotions during the recycling process in real time. For example, it analyzes the user's facial expressions and voice and provides feedback to elicit positive emotions. The recycling unit can also provide tools for monitoring the user's emotions during the recycling process in real time and providing positive feedback. The recycling unit can also provide support for monitoring the user's emotions during the recycling process in real time and providing positive feedback. This makes it possible to monitor the user's emotions during the recycling process in real time and provide positive feedback.

[0085] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0086] The recycling department uses recycled materials to manufacture new toys designed by users using a 3D printer. For example, a user creates a design for a new toy using a dedicated application and sends the design data to a recycling facility. The recycling facility then uses a 3D printer to manufacture new toys based on the user's design. The recycling department can also provide materials for manufacturing toys designed by users using a 3D printer. The recycling department can also provide support for manufacturing toys designed by users using a 3D printer. This allows newly designed toys to be manufactured using recycled materials using a 3D printer.

[0087] The recycling department analyzes the characteristics of materials in the recycling process and automatically selects the optimal recycling method. For example, a recycling facility may introduce a system that automatically analyzes the materials of collected toys. For example, the system may identify materials such as plastic, metal, and wood and select the optimal recycling method for each. The recycling department may also use sensors to analyze the characteristics of materials. The recycling department may also use algorithms to select the optimal recycling method. This allows the characteristics of materials to be analyzed and the optimal recycling method to be automatically selected.

[0088] The recycling unit uses the emotion estimation function to analyze the emotions the user has toward recycling and provides a recycling experience that elicits positive emotions. For example, the emotion estimation function is used to analyze the facial expressions and voice of the user when the user visits a recycling facility and provide feedback that elicits positive emotions. The recycling unit can also customize the recycling experience so that the user has positive emotions toward recycling. The recycling unit can also guide the user through the recycling experience so that the user has positive emotions toward recycling. In this way, a recycling experience can be provided that elicits positive emotions toward recycling.

[0089] The recording unit uses the generation AI to automatically generate emotional captions and stories for memories. For example, the generation AI is used to automatically generate emotional captions for photos and videos uploaded by users. For example, the generation AI is used to analyze the facial expressions of people in the photos and the background, and add captions based on emotions. The recording unit can also use the generation AI to automatically generate emotional stories for photos and videos uploaded by users. The recording unit can also use the generation AI to automatically generate emotional comments for photos and videos uploaded by users. This makes it possible to automatically generate emotional captions and stories for memories.

[0090] The storage unit generates an interactive storybook based on memories recorded by the user. For example, an interactive storybook based on memories recorded by the user is generated in the metaverse space. For example, photos and videos are arranged on each page, and the user can look back on memories by turning the pages. The storage unit can also provide tools for generating an interactive storybook based on memories recorded by the user. The storage unit can also provide support for generating an interactive storybook based on memories recorded by the user. This makes it possible to generate an interactive storybook based on recorded memories.

[0091] The storage unit uses the emotion estimation function to analyze the emotional value of memories recorded by the user and propose a design for the virtual space based on the emotion. For example, the emotion estimation function is used to analyze the emotional value of memories recorded by the user. For example, the emotion estimation function is used to analyze the facial expressions and voices of people appearing in photos and videos to calculate an emotion score. The storage unit can also use the emotion estimation function to analyze the emotional value of memories recorded by the user and propose a design for the virtual space based on the emotion. The storage unit can also use the emotion estimation function to analyze the emotional value of memories recorded by the user and customize the design for the virtual space based on the emotion. In this way, the emotional value of the recorded memories can be analyzed and a design for the virtual space based on the emotion can be proposed.

[0092] The communication unit publishes memories recorded by a user as a public gallery that can be shared with other users, thereby creating content that evokes empathy. For example, a user can publish memories recorded by a user as a public gallery and share them with other users. For example, memorable photos and videos can be displayed in a gallery format, allowing other users to comment and like the photos. The communication unit can also publish memories recorded by a user as a public gallery and provide tools for creating content that evokes empathy. The communication unit can also publish memories recorded by a user as a public gallery and provide support for creating content that evokes empathy. This allows a user to share memories recorded by a user as a public gallery and create content that evokes empathy.

[0093] The communication unit generates and exhibits virtual artworks based on memories recorded by a user in the metaverse space. For example, the communication unit provides a function for generating and exhibiting virtual artworks based on memories recorded by a user in the metaverse space. For example, the communication unit processes photos and videos into artworks and exhibits them in a virtual gallery. The communication unit can also provide tools for generating virtual artworks based on memories recorded by a user. The communication unit can also provide support for generating virtual artworks based on memories recorded by a user. This allows virtual artworks to be generated and exhibited based on recorded memories.

[0094] The communication unit uses the emotion estimation function to collect other users' emotional reactions to the memories recorded by the user and provides feedback to promote empathy. For example, the emotion estimation function is used to collect other users' emotional reactions to the memories recorded by the user. For example, the emotion estimation function is used to analyze the facial expressions and voices of other users when they view photos or videos and calculate an emotion score. The communication unit can also use the emotion estimation function to collect other users' emotional reactions to the memories recorded by the user and provide feedback to promote empathy. The communication unit can also use the emotion estimation function to collect other users' emotional reactions to the memories recorded by the user and customize feedback to promote empathy. In this way, it is possible to collect other users' emotional reactions to the recorded memories and provide feedback to promote empathy.

[0095] The reproduction unit allows the user to play a virtual game using a toy that brings back memories. For example, a function is provided that allows the user to play a virtual game using a toy that brings back memories in the metaverse space. For example, the toy that the user played with as a child can be reproduced and the user can enjoy a game using the toy. The reproduction unit can also provide tools for the user to play a virtual game using a toy that brings back memories. The reproduction unit can also provide support for the user to play a virtual game using a toy that brings back memories. This allows the user to play a virtual game using a toy that brings back memories.

[0096] The processing flow of the second embodiment will be briefly explained below.

[0097] Step 1: The recycling department recycles unwanted toys. For example, plastic toys are melted down to be reused as materials for new products, metal parts are re-smelted to be used in new products, and paper toys are turned back into pulp for reuse. Step 2: The recording unit records memories of the toys recycled by the recycling unit using photos, videos, and audio. For example, it stores photos uploaded by users, audio recordings, and video recordings. Step 3: The storage unit stores the data recorded by the recording unit in the metaverse space. For example, the data may be stored using cloud storage, distributed storage, or local storage. Step 4: The Reconstruction Department recreates the memorable toy in 3D using the data stored by the Preservation Department, for example, by using a 3D scanner, 3D modeling software, and photogrammetry techniques. Step 5: The interaction unit interacts with other users using the 3D model reproduced by the reproduction unit, providing, for example, chat, video calling, and collaboration functions.

[0098] 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.

[0099] 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.

[0100] 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.

[0101] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0102] 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.

[0103] 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.

[0104] 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.

[0105] 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.

[0106] 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).

[0107] 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.

[0108] 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.

[0109] 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.

[0110] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0111] 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. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0117] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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).

[0122] 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.

[0123] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset 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.

[0124] 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.

[0125] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0126] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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.

[0131] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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).

[0137] 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.

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0142] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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).

[0151] 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.

[0152] 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."

[0153] 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.

[0154] 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.

[0155] 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.

[0156] 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.

[0157] 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.

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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]

[0165] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. A club that recycles unwanted toys, The recording section records memories of toys recycled by the recycling section using photos, videos, and audio. a storage unit that stores the data recorded by the recording unit in a metaverse space; The Reproduction Department recreates memorable toys in 3D models based on the data stored by the Preservation Department. and an interaction unit that interacts with other users using the 3D model reproduced by the reproduction unit. A system characterized by:

2. The recycling department Using recycled materials, newly designed toys are produced using a 3D printer.

2. The system of claim 1.

3. The recording section is Use generative AI to automatically generate emotive captions and stories for your memories 2. The system of claim 1.

4. The reenactment section is Users play virtual games using toys that they remember fondly.

2. The system of claim 1.

5. The exchange department is Create a public gallery of your memories to share with others and create content that resonates with others.

2. The system of claim 1.

6. The recycling department Using emotion estimation, we analyze the user's feelings about recycling and provide a recycling experience that elicits positive emotions.

2. The system of claim 1.

Images