System

Abstract

To provide an eco-friendly system capable of freely and instantaneously changing wallpaper.SOLUTION: A system according to an embodiment includes a paper display, an ecosystem, and a generation AI. The paper display can change the wallpaper freely and instantaneously. The ecosystem only consumes power when changing the wallpaper. The generation AI automatically generates an original wall paper design based on a user's favorite photograph or landscape.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] With conventional technology, changing wallpaper was time-consuming and laborious, making it uneconomical.

[0005] The system according to the embodiment aims to provide an eco-friendly system that allows users to change wallpaper freely and instantly. [Means for solving the problem]

[0006] The system according to the embodiment comprises a paper display, an ecosystem, and a generation AI. The paper display allows users to freely and instantly change the wallpaper. The ecosystem consumes power only when changing the wallpaper. The generation AI automatically generates original wallpaper designs based on the user's favorite photos, landscapes, etc. [Effects of the Invention]

[0007] The system according to the embodiment can provide an eco-friendly system that allows wallpaper to be changed freely and instantly. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[0028] (Example 1) The wallpaper change system according to the embodiment of the present invention is a system that uses the latest paper display technology to freely and instantly change wallpaper, thereby enabling users to freely and instantly change the wallpaper and completely refresh the atmosphere of a room.

[0029] A wallpaper change system according to an embodiment includes a paper display, an ecosystem, and a generation AI. The paper display can change wallpaper freely and instantly. For example, the paper display uses electronic paper technology, allowing the display content to be freely changed. Furthermore, the paper display has a thin and flexible structure and can be attached to an entire wall. The ecosystem consumes power only when changing the wallpaper. For example, the ecosystem supplies power only when the display content of the paper display is changed and does not consume power once the display content is fixed. The ecosystem also includes an energy management system, minimizing energy consumption. The generation AI automatically generates original wallpaper designs based on a user's favorite photos or landscapes. For example, the generation AI analyzes photo or landscape data entered by the user and generates wallpaper designs based on that data. The generation AI can also generate wallpaper designs using a text generation AI (e.g., LLM) or a multimodal generation AI. Furthermore, the generation AI can generate wallpaper designs based on user instructions. This allows the wallpaper change system according to an embodiment to freely and instantly change the wallpaper and completely refresh the atmosphere of a room. For example, users can use a smartphone or tablet to select and change wallpaper using a dedicated app, or they can set a photo they have taken as wallpaper.

[0030] Paper displays can be pasted over an entire wall, allowing you to change the wallpaper at will. Paper displays, for example, can be pasted over an entire wall. For example, paper displays have a thin, flexible structure and can be pasted over an entire wall. Paper displays can also be fixed to the wall using adhesive or magnets. Furthermore, paper displays are easy to remove and can be reused. This allows you to change the wallpaper at will by pasting paper displays over an entire wall.

[0031] A paper display can change its wallpaper to suit the time of day or a user's mood. A paper display can change its wallpaper to suit the time of day or a user's mood, for example. For example, a paper display can change its wallpaper to suit the time of day, such as a refreshing landscape in the morning or a calming starry sky at night. A paper display can also change its wallpaper to suit the user's mood. For example, when a user wants to relax, a wallpaper with a relaxing landscape can be displayed. This allows the wallpaper to be changed to suit the time of day or a user's mood.

[0032] The generation AI can generate wallpaper designs based on user instructions. For example, if a user instructs the generation AI to "create a wallpaper based on ocean scenery," the generation AI analyzes photos of the ocean and generates a beautiful ocean scene as wallpaper. Also, if a user instructs the generation AI to "create a wallpaper with a relaxing design," the generation AI can generate a wallpaper with a relaxing design. Furthermore, if a user instructs the generation AI to "create a wallpaper that matches the season," the generation AI can generate a wallpaper that matches the season. In this way, wallpaper designs can be generated based on user instructions.

[0033] A paper display can add a haptic feedback function to its surface, allowing it to realistically reproduce the texture of wallpaper. For example, a haptic feedback function that generates minute vibrations on the surface of a paper display can be added to realistically reproduce the texture of wallpaper. For example, when touching wood-grain wallpaper, you can feel the texture of wood. A pressure sensor can also be incorporated into the paper display to provide different haptic feedback depending on the part that is touched. For example, stone wallpaper can feel hard, while cloth wallpaper can feel soft. Furthermore, minute protrusions can be placed on the surface of the paper display to enhance the haptic feedback. For example, when touching beach wallpaper, you can feel the grains of sand. This allows the texture of wallpaper to be realistically reproduced.

[0034] Paper displays can add a transparent layer to give wallpaper designs a 3D effect. Paper displays can add a transparent layer to give wallpaper designs a 3D effect. For example, adding a transparent layer to a paper display can give the wallpaper design a sense of depth. For example, in a forest wallpaper, the trees can appear three-dimensional. Transparent layers can also be used to create a 3D effect where parts of the wallpaper appear to be floating. For example, in a city night view wallpaper, the buildings can appear three-dimensional. Furthermore, by layering multiple transparent layers on a paper display, wallpaper designs can be given complex 3D effects. For example, in an ocean wallpaper, the movement of the waves can be made to appear three-dimensional. This can give wallpaper designs a 3D effect.

[0035] Paper displays can also be applied to floors and ceilings, unifying the design of the entire room. Paper displays can also be applied to floors and ceilings, unifying the design of the entire room. For example, a paper display can be applied to the floor to unify the entire room with the same design as the wallpaper. For example, if the wallpaper has a forest design, the floor can also have the same forest design. Paper displays can also be applied to the ceiling, changing the design in conjunction with the wallpaper. For example, if the wallpaper has a night sky design, the ceiling can also have a starry sky design. Paper displays can also be applied to both the floor and ceiling to create a design that is integrated with the wallpaper. For example, if the wallpaper has an ocean design, the floor can have a sandy beach design and the ceiling can have a sky design. This unifies the design of the entire room.

[0036] Paper displays can also be attached to the surfaces of furniture and home appliances, allowing you to coordinate the entire interior. Paper displays can also be attached to the surfaces of furniture and home appliances, allowing you to coordinate the entire interior. For example, by attaching a paper display to the surface of furniture, you can coordinate the entire interior with the same design as the wallpaper. For example, if the wallpaper is wood-grain, the furniture can also have the same wood-grain design. Paper displays can also be attached to the surface of home appliances, allowing you to change the design in conjunction with the wallpaper. For example, if the wallpaper has a modern design, the home appliances can also have the same modern design. Paper displays can also be attached to the surface of furniture and home appliances, allowing you to change the design to suit the season or event. For example, at Christmas, the wallpaper, furniture, and home appliances can have Christmas designs. This allows you to coordinate the entire interior.

[0037] In order to further reduce the power consumption when changing wallpaper, an energy supply system using solar power generation can be introduced. In order to further reduce the power consumption when changing wallpaper, for example, an energy supply system using solar power generation can be introduced. For example, in order to reduce the power consumption when changing wallpaper, solar power generation panels can be installed to supply energy. For example, solar power generation panels can be installed on the roof or windows. In addition, a solar power generation system can be installed to generate power for changing wallpaper by itself. For example, solar power generation panels can be combined with batteries to store energy. Furthermore, an energy supply system using solar power generation can be installed to minimize the power consumption when changing wallpaper. For example, solar power generation panels can be installed on the wall to supply energy. This can further reduce the power consumption when changing wallpaper.

[0038] It is possible to develop an algorithm that learns the frequency of wallpaper changes and automatically changes them at the optimal timing. It is possible to develop an algorithm that learns the frequency of wallpaper changes and automatically changes them at the optimal timing, for example. For example, an algorithm can be developed that learns the frequency of wallpaper changes and automatically changes them at the optimal timing to suit the user's lifestyle patterns. For example, changing the wallpaper when the user wakes up in the morning or before going to bed at night. It is also possible to develop an algorithm that analyzes the user's wallpaper change history and automatically changes the wallpaper at the optimal timing. For example, changing the wallpaper on weekends or before specific events. It is also possible to develop an algorithm that learns the frequency of wallpaper changes and automatically changes the wallpaper at the optimal timing while minimizing energy consumption. For example, changing the wallpaper during times of low power consumption. This makes it possible to automatically learn the optimal timing for wallpaper changes and make the changes.

[0039] The ecosystem can also be applied to other home appliances to optimize energy consumption throughout the home. The ecosystem can also be applied to other home appliances to optimize energy consumption throughout the home. For example, the ecosystem can be applied to home appliances such as refrigerators and air conditioners to optimize energy consumption throughout the home. For example, the energy consumption of home appliances can be adjusted in conjunction with a change of wallpaper. The ecosystem can also be applied to lighting and heating systems to optimize energy consumption throughout the home. For example, the brightness of the lights and the temperature of the heating can be adjusted when the wallpaper is changed. Furthermore, the ecosystem can be introduced throughout the home to minimize energy consumption. For example, the energy consumption of home appliances can be automatically adjusted when the wallpaper is changed. This makes it possible to optimize energy consumption throughout the home.

[0040] A function for adjusting the room temperature and humidity when the wallpaper is changed can be added to provide a comfortable environment. A function for adjusting the room temperature and humidity when the wallpaper is changed can be added to provide a comfortable environment. For example, a function for automatically adjusting the room temperature when the wallpaper is changed can be added to provide a comfortable environment. For example, the temperature setting of the air conditioner can be adjusted when the wallpaper is changed. Also, a function for automatically adjusting the room humidity when the wallpaper is changed can be added to provide a comfortable environment. For example, the settings of the humidifier and dehumidifier can be adjusted when the wallpaper is changed. Furthermore, a function for comprehensively adjusting the room temperature and humidity when the wallpaper is changed can be added to provide a comfortable environment. For example, the air conditioner and humidifier can be linked when the wallpaper is changed. In this way, the room temperature and humidity can be adjusted when the wallpaper is changed to provide a comfortable environment.

[0041] The generative AI can learn a user's past preference data and generate more personalized wallpaper designs. The generative AI can, for example, learn a user's past preference data and generate more personalized wallpaper designs. For example, the generative AI can learn a user's past preference data and generate more personalized wallpaper designs. For example, it can analyze trends in the colors and designs of wallpapers selected by the user in the past and suggest new wallpapers based on that. The generative AI can also generate personalized wallpaper designs according to the season and time of day based on the user's past preference data. For example, it can learn the designs that a user prefers in the summer and suggest those designs in the summer. The generative AI can also learn a user's past preference data and generate personalized wallpaper designs tailored to specific events or anniversaries. For example, it can suggest special designs for the user's birthday. In this way, the generative AI can learn a user's past preference data and generate more personalized wallpaper designs.

[0042] The generative AI can receive user feedback in real time and instantly revise the design. The generative AI can receive user feedback in real time and instantly revise the design. For example, we will add a function that allows the generative AI to receive user feedback in real time and instantly revise the design. For example, if a user requests to change the wallpaper color, the generative AI will instantly change the color. We will also develop an interface that allows users to provide feedback on the wallpaper design in real time, and the generative AI will revise the design based on that feedback. For example, if a user requests to change part of the design, the generative AI will instantly revise it. We will also add a function that allows the generative AI to receive user feedback in real time and instantly revise the design. For example, if a user requests to change the wallpaper pattern, the generative AI will instantly change the pattern. This makes it possible to receive user feedback in real time and instantly revise the design.

[0043] Generative AI can incorporate design elements from different cultures and regions to provide wallpaper designs from a global perspective. For example, generative AI can learn design elements from different cultures and regions and provide wallpaper designs that incorporate them. For example, it can generate designs that incorporate traditional Japanese patterns or African ethnic patterns. Generative AI can also provide wallpaper designs from a global perspective based on design elements from different cultures and regions. For example, it could incorporate classic European designs or colorful South American designs. Furthermore, we are developing a system in which generative AI analyzes design elements from different cultures and regions and provides wallpaper designs based on that. For example, it could incorporate traditional Asian designs or simple Nordic designs. This makes it possible to provide wallpaper designs that incorporate design elements from different cultures and regions.

[0044] Voice recognition technology can make it possible to change wallpaper with a voice command. Voice recognition technology can make it possible to change wallpaper with a voice command. For example, voice recognition technology can be introduced to allow a user to change wallpaper with a voice command. For example, if the user says, "Change the wallpaper to a seascape," the wallpaper will change to a seascape. Voice recognition technology can also be used to allow a user to change the color or design of the wallpaper with a voice command. For example, if the user says, "Change the wallpaper color to blue," the wallpaper color will change to blue. Voice recognition technology can also be introduced to develop an interface that allows a user to change wallpaper with a voice command. For example, if the user says, "Change the wallpaper to a relaxing design," the wallpaper will change to a relaxing design. This makes it possible to change wallpaper with a voice command.

[0045] Gesture recognition technology can be used to develop an interface that changes wallpaper with hand movements. Gesture recognition technology can be used to develop an interface that changes wallpaper with hand movements. For example, gesture recognition technology can be used to develop an interface that allows users to change wallpaper with hand movements. For example, moving your hand left and right changes the wallpaper. Also, an interface can be developed that allows users to change the color or design of the wallpaper by performing a specific gesture. For example, moving your hand up changes the wallpaper color. Furthermore, gesture recognition technology can be introduced to develop a system that allows users to change wallpaper with hand movements. For example, moving your hand back and forth changes the wallpaper design. This makes it possible to develop an interface that changes wallpaper with hand movements.

[0046] It is possible to make it possible to change wallpaper from a wearable device such as a smartwatch or smartglasses. It is possible to make it possible to change wallpaper from a wearable device such as a smartwatch or smartglasses. For example, it is possible to make it possible to change wallpaper from a smartwatch. For example, it is possible to change the wallpaper by simply tapping the screen of the smartwatch. In addition, an interface that allows wallpaper change to be performed using smartglasses is developed. For example, it is possible to change the wallpaper using gesture operations on the smartglasses. Furthermore, it is possible to develop a system that allows wallpaper change to be performed using a wearable device. For example, it is possible to change the wallpaper using voice commands from the smartwatch or smartglasses. This makes it possible to change wallpaper from a wearable device such as a smartwatch or smartglasses.

[0047] A system can be introduced that changes the lighting and sound in a room in tandem when the wallpaper is changed. A system can be introduced that changes the lighting and sound in a room in tandem when the wallpaper is changed. For example, a system can be introduced that changes the color and brightness of the lighting in a room in tandem when the wallpaper is changed. For example, if the wallpaper is changed to a night sky design, the lighting will also become darker. A system can also be introduced that changes the sound in a room in tandem when the wallpaper is changed. For example, if the wallpaper is changed to an ocean design, the sound of waves will be played. Furthermore, a system can be introduced that comprehensively adjusts the lighting and sound in a room when the wallpaper is changed. For example, if the wallpaper is changed to a forest design, the lighting will turn green and birds will chirp. In this way, the lighting and sound in a room can also be changed in tandem when the wallpaper is changed.

[0048] The calendar function can automatically suggest wallpaper designs according to the season or event. The calendar function can automatically suggest wallpaper designs according to the season or event. For example, a calendar function can be added to automatically suggest wallpaper designs according to the season. For example, a cherry blossom design can be suggested in spring, and an ocean design can be suggested in summer. The calendar function can also be used to automatically suggest wallpaper designs that match specific events. For example, a Christmas tree design can be suggested for Christmas, and a pumpkin design can be suggested for Halloween. Furthermore, a calendar function can be added to automatically suggest wallpaper designs that match the user's birthday or anniversary. For example, a birthday cake design can be suggested for the user's birthday. This makes it possible to automatically suggest wallpaper designs that match the season or event.

[0049] A diffuser system can be introduced that changes the scent in a room in conjunction with a change of wallpaper. A diffuser system can be introduced that changes the scent in a room in conjunction with a change of wallpaper. For example, if the wallpaper is changed to a forest design, a forest scent will waft through the air. The diffuser system can also be used to automatically adjust the scent in a room when the wallpaper is changed. For example, if the wallpaper is changed to an ocean design, an ocean scent will waft through the air. Furthermore, a diffuser system can be developed that changes the scent in a room in conjunction with a change of wallpaper. For example, if the wallpaper is changed to a floral design, a floral scent will waft through the air. This allows the scent in a room to change in conjunction with a change of wallpaper.

[0050] A system can be introduced that adjusts the room temperature and humidity in conjunction with a change in wallpaper. A system can be introduced that adjusts the room temperature and humidity in conjunction with a change in wallpaper. For example, a system can be introduced that automatically adjusts the room temperature in conjunction with a change in wallpaper. For example, when the wallpaper is changed to a winter design, the room temperature becomes warmer. A system can also be introduced that automatically adjusts the room humidity in conjunction with a change in wallpaper. For example, when the wallpaper is changed to a summer design, the room humidity decreases. Furthermore, a system can be introduced that comprehensively adjusts the room temperature and humidity in conjunction with a change in wallpaper. For example, when the wallpaper is changed to a spring design, the room temperature and humidity are kept comfortable. In this way, the room temperature and humidity can be adjusted in conjunction with a change in wallpaper.

[0051] An entertainment system can be introduced that changes the music and images in a room in conjunction with a change in wallpaper. For example, an entertainment system can be introduced that automatically changes the music in a room in conjunction with a change in wallpaper. For example, when the wallpaper is changed to an ocean design, the sound of waves plays. An entertainment system can also be introduced that automatically changes the images in a room in conjunction with a change in wallpaper. For example, when the wallpaper is changed to a forest design, a video of birds chirping plays. An entertainment system can also be introduced that comprehensively adjusts the music and images in a room in conjunction with a change in wallpaper. For example, when the wallpaper is changed to a night sky design, a video of a starry sky and quiet music plays. In this way, the music and images in a room can be changed in conjunction with a change in wallpaper.

[0052] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0053] The wallpaper change system can further include a voice recognition unit. The voice recognition unit can analyze the user's voice commands and change the wallpaper. For example, if the user says, "Change the wallpaper to an ocean scene," the voice recognition unit analyzes the command and changes the wallpaper to an ocean scene. The voice recognition unit can also change the color and design of the wallpaper. For example, if the user says, "Change the wallpaper color to blue," the wallpaper color will change to blue. Furthermore, the voice recognition unit can instruct the generation AI on the wallpaper design based on the user's voice command. This allows the user to freely change the wallpaper using voice commands.

[0054] The wallpaper change system can further include a gesture recognition unit. The gesture recognition unit can analyze the user's hand movements and change the wallpaper. For example, when the user moves their hand left and right, the gesture recognition unit analyzes the movement and changes the wallpaper. The gesture recognition unit can also change the color and design of the wallpaper. For example, moving their hand up changes the color of the wallpaper. Furthermore, the gesture recognition unit can instruct the generation AI on the wallpaper design based on the user's gesture. This allows the user to freely change the wallpaper using their hand movements.

[0055] The wallpaper change system can further include a calendar function. The calendar function can automatically suggest wallpaper designs according to seasons and events. For example, it can suggest a cherry blossom design in spring and an ocean design in summer. The calendar function can also automatically suggest wallpaper designs that match specific events. For example, it can suggest a Christmas tree design for Christmas and a pumpkin design for Halloween. Furthermore, the calendar function can automatically suggest wallpaper designs that match the user's birthday or anniversary. This makes it possible to automatically suggest wallpaper designs that match seasons and events.

[0056] The wallpaper change system can further include a diffuser system. The diffuser system can change the scent of the room in conjunction with the wallpaper change. For example, if the wallpaper is changed to a forest design, the diffuser system can fill the room with a forest scent. Alternatively, if the wallpaper is changed to an ocean design, the diffuser system can fill the room with an ocean scent. Furthermore, the diffuser system can automatically adjust the scent according to the wallpaper design. This allows the scent of the room to change in conjunction with the wallpaper change.

[0057] The wallpaper change system can further include an entertainment system. The entertainment system can change the music and images in the room in conjunction with the wallpaper change. For example, when the wallpaper is changed to an ocean design, the sound of waves will play. When the wallpaper is changed to a forest design, the image of birds chirping will play. Furthermore, the entertainment system can automatically adjust the music and images according to the wallpaper design. This allows the music and images in the room to be changed in conjunction with the wallpaper change.

[0058] The processing flow of the first embodiment will be briefly explained below.

[0059] Step 1: Paper displays allow you to change wallpaper freely and instantly. For example, paper displays use electronic paper technology, allowing you to freely change the content displayed. Furthermore, paper displays have a thin, flexible structure and can be attached to the entire wall. Step 2: The ecosystem consumes power only when changing the wallpaper. For example, the ecosystem supplies power only when changing the display content of the paper display, and does not consume power after the display content is fixed. The ecosystem also has an energy management system that minimizes energy consumption. Step 3: The generation AI automatically generates an original wallpaper design based on the user's favorite photos and scenery. For example, the generation AI analyzes the photo and scenery data entered by the user and generates a wallpaper design based on that data. The generation AI can also generate wallpaper designs using text generation AI (e.g., LLM) or multimodal generation AI. Furthermore, the generation AI can generate wallpaper designs based on the user's instructions.

[0060] (Example 2) The wallpaper change system according to the embodiment of the present invention is a system that uses the latest paper display technology to freely and instantly change wallpaper, thereby enabling users to freely and instantly change the wallpaper and completely refresh the atmosphere of a room.

[0061] A wallpaper change system according to an embodiment includes a paper display, an ecosystem, and a generation AI. The paper display can change wallpaper freely and instantly. For example, the paper display uses electronic paper technology, allowing the display content to be freely changed. Furthermore, the paper display has a thin and flexible structure and can be attached to an entire wall. The ecosystem consumes power only when changing the wallpaper. For example, the ecosystem supplies power only when the display content of the paper display is changed and does not consume power once the display content is fixed. The ecosystem also includes an energy management system, minimizing energy consumption. The generation AI automatically generates original wallpaper designs based on a user's favorite photos or landscapes. For example, the generation AI analyzes photo or landscape data entered by the user and generates wallpaper designs based on that data. The generation AI can also generate wallpaper designs using a text generation AI (e.g., LLM) or a multimodal generation AI. Furthermore, the generation AI can generate wallpaper designs based on user instructions. This allows the wallpaper change system according to an embodiment to freely and instantly change the wallpaper and completely refresh the atmosphere of a room. For example, users can use a smartphone or tablet to select and change wallpaper using a dedicated app, or they can set a photo they have taken as wallpaper.

[0062] Paper displays can be pasted over an entire wall, allowing you to change the wallpaper at will. Paper displays, for example, can be pasted over an entire wall. For example, paper displays have a thin, flexible structure and can be pasted over an entire wall. Paper displays can also be fixed to the wall using adhesive or magnets. Furthermore, paper displays are easy to remove and can be reused. This allows you to change the wallpaper at will by pasting paper displays over an entire wall.

[0063] A paper display can change its wallpaper to suit the time of day or a user's mood. A paper display can change its wallpaper to suit the time of day or a user's mood, for example. For example, a paper display can change its wallpaper to suit the time of day, such as a refreshing landscape in the morning or a calming starry sky at night. A paper display can also change its wallpaper to suit the user's mood. For example, when a user wants to relax, a wallpaper with a relaxing landscape can be displayed. This allows the wallpaper to be changed to suit the time of day or a user's mood.

[0064] The generation AI can generate wallpaper designs based on user instructions. For example, if a user instructs the generation AI to "create a wallpaper based on ocean scenery," the generation AI analyzes photos of the ocean and generates a beautiful ocean scene as wallpaper. Also, if a user instructs the generation AI to "create a wallpaper with a relaxing design," the generation AI can generate a wallpaper with a relaxing design. Furthermore, if a user instructs the generation AI to "create a wallpaper that matches the season," the generation AI can generate a wallpaper that matches the season. In this way, wallpaper designs can be generated based on user instructions.

[0065] The generation AI can generate wallpaper designs based on the user's emotions. The generation AI can generate wallpaper designs based on the user's emotions. For example, when the user is relaxed, the generation AI can generate wallpaper with a relaxing design. Also, when the user is feeling stressed, the generation AI can generate wallpaper with a relaxing landscape. Furthermore, when the user is excited, the generation AI can generate wallpaper with a vibrant color design. In this way, wallpaper designs can be generated based on the user's emotions.

[0066] A paper display can add a haptic feedback function to its surface, allowing it to realistically reproduce the texture of wallpaper. For example, a haptic feedback function that generates minute vibrations on the surface of a paper display can be added to realistically reproduce the texture of wallpaper. For example, when touching wood-grain wallpaper, you can feel the texture of wood. A pressure sensor can also be incorporated into the paper display to provide different haptic feedback depending on the part that is touched. For example, stone wallpaper can feel hard, while cloth wallpaper can feel soft. Furthermore, minute protrusions can be placed on the surface of the paper display to enhance the haptic feedback. For example, when touching beach wallpaper, you can feel the grains of sand. This allows the texture of wallpaper to be realistically reproduced.

[0067] Paper displays can add a transparent layer to give wallpaper designs a 3D effect. Paper displays can add a transparent layer to give wallpaper designs a 3D effect. For example, adding a transparent layer to a paper display can give the wallpaper design a sense of depth. For example, in a forest wallpaper, the trees can appear three-dimensional. Transparent layers can also be used to create a 3D effect where parts of the wallpaper appear to be floating. For example, in a city night view wallpaper, the buildings can appear three-dimensional. Furthermore, by layering multiple transparent layers on a paper display, wallpaper designs can be given complex 3D effects. For example, in an ocean wallpaper, the movement of the waves can be made to appear three-dimensional. This can give wallpaper designs a 3D effect.

[0068] The emotion estimation function can fine-tune the color tone and design of the wallpaper according to the user's emotion. The emotion estimation function can fine-tune the color tone and design of the wallpaper according to the user's emotion, for example. For example, by using the emotion estimation function, when the user is relaxed, the color tone of the wallpaper is changed to a warm color. For example, when the user is relaxed, the color of the wallpaper is changed to a soft orange. Furthermore, when the user is stressed, the wallpaper design is changed to a simple and calming one. For example, when the user is stressed, the wallpaper is changed to a simple blue design. Furthermore, by using the emotion estimation function, when the user is excited, the wallpaper design is changed to a vivid and dynamic one. For example, when the user is excited, the wallpaper is changed to a vivid red design. In this way, the color tone and design of the wallpaper can be fine-tuned according to the user's emotion.

[0069] Paper displays can also be applied to floors and ceilings, unifying the design of the entire room. Paper displays can also be applied to floors and ceilings, unifying the design of the entire room. For example, a paper display can be applied to the floor to unify the entire room with the same design as the wallpaper. For example, if the wallpaper has a forest design, the floor can also have the same forest design. Paper displays can also be applied to the ceiling, changing the design in conjunction with the wallpaper. For example, if the wallpaper has a night sky design, the ceiling can also have a starry sky design. Paper displays can also be applied to both the floor and ceiling to create a design that is integrated with the wallpaper. For example, if the wallpaper has an ocean design, the floor can have a sandy beach design and the ceiling can have a sky design. This unifies the design of the entire room.

[0070] Paper displays can also be attached to the surfaces of furniture and home appliances, allowing you to coordinate the entire interior. Paper displays can also be attached to the surfaces of furniture and home appliances, allowing you to coordinate the entire interior. For example, by attaching a paper display to the surface of furniture, you can coordinate the entire interior with the same design as the wallpaper. For example, if the wallpaper is wood-grain, the furniture can also have the same wood-grain design. Paper displays can also be attached to the surface of home appliances, allowing you to change the design in conjunction with the wallpaper. For example, if the wallpaper has a modern design, the home appliances can also have the same modern design. Paper displays can also be attached to the surface of furniture and home appliances, allowing you to change the design to suit the season or event. For example, at Christmas, the wallpaper, furniture, and home appliances can have Christmas designs. This allows you to coordinate the entire interior.

[0071] In order to further reduce the power consumption when changing wallpaper, an energy supply system using solar power generation can be introduced. In order to further reduce the power consumption when changing wallpaper, for example, an energy supply system using solar power generation can be introduced. For example, in order to reduce the power consumption when changing wallpaper, solar power generation panels can be installed to supply energy. For example, solar power generation panels can be installed on the roof or windows. In addition, a solar power generation system can be installed to generate power for changing wallpaper by itself. For example, solar power generation panels can be combined with batteries to store energy. Furthermore, an energy supply system using solar power generation can be installed to minimize the power consumption when changing wallpaper. For example, solar power generation panels can be installed on the wall to supply energy. This can further reduce the power consumption when changing wallpaper.

[0072] It is possible to develop an algorithm that learns the frequency of wallpaper changes and automatically changes them at the optimal timing. It is possible to develop an algorithm that learns the frequency of wallpaper changes and automatically changes them at the optimal timing, for example. For example, an algorithm can be developed that learns the frequency of wallpaper changes and automatically changes them at the optimal timing to suit the user's lifestyle patterns. For example, changing the wallpaper when the user wakes up in the morning or before going to bed at night. It is also possible to develop an algorithm that analyzes the user's wallpaper change history and automatically changes the wallpaper at the optimal timing. For example, changing the wallpaper on weekends or before specific events. It is also possible to develop an algorithm that learns the frequency of wallpaper changes and automatically changes the wallpaper at the optimal timing while minimizing energy consumption. For example, changing the wallpaper during times of low power consumption. This makes it possible to automatically learn the optimal timing for wallpaper changes and make the changes.

[0073] The emotion estimation function can suggest wallpaper changes to reduce a user's stress level. For example, the emotion estimation function can suggest wallpaper changes to reduce a user's stress level. For example, the emotion estimation function can be used to analyze a user's stress level and suggest wallpaper changes to reduce stress. For example, wallpapers with relaxing scenery can be suggested. The system can also monitor a user's stress level in real time and automatically suggest wallpapers that are relaxing when stress levels are high. For example, wallpapers with natural scenery or calming colors can be suggested. Furthermore, a system can be developed that uses the emotion estimation function to suggest wallpaper changes to reduce a user's stress level. For example, when a user is feeling stressed, a wallpaper that is relaxing can be automatically selected. This makes it possible to suggest wallpaper changes to reduce a user's stress level.

[0074] The ecosystem can also be applied to other home appliances to optimize energy consumption throughout the home. The ecosystem can also be applied to other home appliances to optimize energy consumption throughout the home. For example, the ecosystem can be applied to home appliances such as refrigerators and air conditioners to optimize energy consumption throughout the home. For example, the energy consumption of home appliances can be adjusted in conjunction with a change of wallpaper. The ecosystem can also be applied to lighting and heating systems to optimize energy consumption throughout the home. For example, the brightness of the lights and the temperature of the heating can be adjusted when the wallpaper is changed. Furthermore, the ecosystem can be introduced throughout the home to minimize energy consumption. For example, the energy consumption of home appliances can be automatically adjusted when the wallpaper is changed. This makes it possible to optimize energy consumption throughout the home.

[0075] A function for adjusting the room temperature and humidity when the wallpaper is changed can be added to provide a comfortable environment. A function for adjusting the room temperature and humidity when the wallpaper is changed can be added to provide a comfortable environment. For example, a function for automatically adjusting the room temperature when the wallpaper is changed can be added to provide a comfortable environment. For example, the temperature setting of the air conditioner can be adjusted when the wallpaper is changed. Also, a function for automatically adjusting the room humidity when the wallpaper is changed can be added to provide a comfortable environment. For example, the settings of the humidifier and dehumidifier can be adjusted when the wallpaper is changed. Furthermore, a function for comprehensively adjusting the room temperature and humidity when the wallpaper is changed can be added to provide a comfortable environment. For example, the air conditioner and humidifier can be linked when the wallpaper is changed. In this way, the room temperature and humidity can be adjusted when the wallpaper is changed to provide a comfortable environment.

[0076] The emotion estimation function can change the wallpaper to maximize user satisfaction while minimizing energy consumption. The emotion estimation function can, for example, change the wallpaper to maximize user satisfaction while minimizing energy consumption. For example, the emotion estimation function is used to change the wallpaper to maximize user satisfaction. For example, when the user is relaxed, wallpaper that reduces energy consumption is selected. Furthermore, the user's emotions are monitored in real time, and wallpaper changes are made to maximize user satisfaction while minimizing energy consumption. For example, when the user is feeling stressed, wallpaper that helps relaxation is selected. Furthermore, a system is developed that uses the emotion estimation function to change the wallpaper to maximize user satisfaction while minimizing energy consumption. For example, wallpaper is automatically selected according to the user's emotions. This makes it possible to change the wallpaper to maximize user satisfaction while minimizing energy consumption.

[0077] The generative AI can learn a user's past preference data and generate more personalized wallpaper designs. The generative AI can, for example, learn a user's past preference data and generate more personalized wallpaper designs. For example, the generative AI can learn a user's past preference data and generate more personalized wallpaper designs. For example, it can analyze trends in the colors and designs of wallpapers selected by the user in the past and suggest new wallpapers based on that. The generative AI can also generate personalized wallpaper designs according to the season and time of day based on the user's past preference data. For example, it can learn the designs that a user prefers in the summer and suggest those designs in the summer. The generative AI can also learn a user's past preference data and generate personalized wallpaper designs tailored to specific events or anniversaries. For example, it can suggest special designs for the user's birthday. In this way, the generative AI can learn a user's past preference data and generate more personalized wallpaper designs.

[0078] The generative AI can receive user feedback in real time and instantly revise the design. The generative AI can receive user feedback in real time and instantly revise the design. For example, we will add a function that allows the generative AI to receive user feedback in real time and instantly revise the design. For example, if a user requests to change the wallpaper color, the generative AI will instantly change the color. We will also develop an interface that allows users to provide feedback on the wallpaper design in real time, and the generative AI will revise the design based on that feedback. For example, if a user requests to change part of the design, the generative AI will instantly revise it. We will also add a function that allows the generative AI to receive user feedback in real time and instantly revise the design. For example, if a user requests to change the wallpaper pattern, the generative AI will instantly change the pattern. This makes it possible to receive user feedback in real time and instantly revise the design.

[0079] The emotion estimation function can generate wallpaper designs based on the user's emotions. The emotion estimation function can generate wallpaper designs based on the user's emotions, for example. For example, when a user is relaxed, the emotion estimation function can be used to generate wallpaper with a relaxing design. For example, when a user is relaxed, a design with calm colors can be generated. In addition, the user's emotions can be monitored in real time to generate wallpaper designs based on the emotions. For example, when a user is feeling stressed, a design with a relaxing landscape can be generated. Furthermore, a system can be developed that uses the emotion estimation function to generate wallpaper designs based on the user's emotions. For example, when a user is excited, a design with vivid colors can be generated. In this way, wallpaper designs based on the user's emotions can be generated.

[0080] Generative AI can incorporate design elements from different cultures and regions to provide wallpaper designs from a global perspective. For example, generative AI can learn design elements from different cultures and regions and provide wallpaper designs that incorporate them. For example, it can generate designs that incorporate traditional Japanese patterns or African ethnic patterns. Generative AI can also provide wallpaper designs from a global perspective based on design elements from different cultures and regions. For example, it could incorporate classic European designs or colorful South American designs. Furthermore, we are developing a system in which generative AI analyzes design elements from different cultures and regions and provides wallpaper designs based on that. For example, it could incorporate traditional Asian designs or simple Nordic designs. This makes it possible to provide wallpaper designs that incorporate design elements from different cultures and regions.

[0081] The emotion estimation function can simultaneously suggest music and scents that correspond to the user's emotions. The emotion estimation function can, for example, simultaneously suggest music and scents that correspond to the user's emotions. For example, the emotion estimation function can be used to suggest music that corresponds to the user's emotions. For example, when the user is relaxed, relaxing music can be suggested. In addition, the user's emotions can be monitored in real time and scents that correspond to the emotions can be suggested. For example, when the user is feeling stressed, a relaxing scent can be suggested. Furthermore, a system will be developed that uses the emotion estimation function to simultaneously suggest music and scents that correspond to the user's emotions. For example, when the user is excited, uplifting music and scents can be suggested. This makes it possible to simultaneously suggest music and scents that correspond to the user's emotions.

[0082] Voice recognition technology can make it possible to change wallpaper with a voice command. Voice recognition technology can make it possible to change wallpaper with a voice command. For example, voice recognition technology can be introduced to allow a user to change wallpaper with a voice command. For example, if the user says, "Change the wallpaper to a seascape," the wallpaper will change to a seascape. Voice recognition technology can also be used to allow a user to change the color or design of the wallpaper with a voice command. For example, if the user says, "Change the wallpaper color to blue," the wallpaper color will change to blue. Voice recognition technology can also be introduced to develop an interface that allows a user to change wallpaper with a voice command. For example, if the user says, "Change the wallpaper to a relaxing design," the wallpaper will change to a relaxing design. This makes it possible to change wallpaper with a voice command.

[0083] Gesture recognition technology can be used to develop an interface that changes wallpaper with hand movements. Gesture recognition technology can be used to develop an interface that changes wallpaper with hand movements. For example, gesture recognition technology can be used to develop an interface that allows users to change wallpaper with hand movements. For example, moving your hand left and right changes the wallpaper. Also, an interface can be developed that allows users to change the color or design of the wallpaper by performing a specific gesture. For example, moving your hand up changes the wallpaper color. Furthermore, gesture recognition technology can be introduced to develop a system that allows users to change wallpaper with hand movements. For example, moving your hand back and forth changes the wallpaper design. This makes it possible to develop an interface that changes wallpaper with hand movements.

[0084] The emotion estimation function can automatically change wallpaper according to the user's emotions. The emotion estimation function can, for example, automatically change wallpaper according to the user's emotions. For example, a system can be developed using the emotion estimation function to automatically change wallpaper according to the user's emotions. For example, when the user is relaxed, the wallpaper can be automatically changed to a relaxing one. In addition, the user's emotions can be monitored in real time and the wallpaper can be automatically changed according to the emotion. For example, when the user is feeling stressed, the wallpaper can be automatically changed to a relaxing one. Furthermore, an interface can be developed using the emotion estimation function to automatically change wallpaper according to the user's emotions. For example, when the user is excited, the wallpaper can be automatically changed to an uplifting one. In this way, the wallpaper can be automatically changed according to the user's emotions.

[0085] It is possible to make it possible to change wallpaper from a wearable device such as a smartwatch or smartglasses. It is possible to make it possible to change wallpaper from a wearable device such as a smartwatch or smartglasses. For example, it is possible to make it possible to change wallpaper from a smartwatch. For example, it is possible to change the wallpaper by simply tapping the screen of the smartwatch. In addition, an interface that allows wallpaper change to be performed using smartglasses is developed. For example, it is possible to change the wallpaper using gesture operations on the smartglasses. Furthermore, it is possible to develop a system that allows wallpaper change to be performed using a wearable device. For example, it is possible to change the wallpaper using voice commands from the smartwatch or smartglasses. This makes it possible to change wallpaper from a wearable device such as a smartwatch or smartglasses.

[0086] A system can be introduced that changes the lighting and sound in a room in tandem when the wallpaper is changed. A system can be introduced that changes the lighting and sound in a room in tandem when the wallpaper is changed. For example, a system can be introduced that changes the color and brightness of the lighting in a room in tandem when the wallpaper is changed. For example, if the wallpaper is changed to a night sky design, the lighting will also become darker. A system can also be introduced that changes the sound in a room in tandem when the wallpaper is changed. For example, if the wallpaper is changed to an ocean design, the sound of waves will be played. Furthermore, a system can be introduced that comprehensively adjusts the lighting and sound in a room when the wallpaper is changed. For example, if the wallpaper is changed to a forest design, the lighting will turn green and birds will chirp. In this way, the lighting and sound in a room can also be changed in tandem when the wallpaper is changed.

[0087] The emotion estimation function can suggest the most relaxing wallpaper and lighting combination for the user. For example, we will develop a system that uses the emotion estimation function to suggest the most relaxing wallpaper and lighting combination for the user. For example, when the user is relaxed, we will suggest a relaxing wallpaper and lighting combination. We will also monitor the user's emotions in real time and suggest the most relaxing wallpaper and lighting combination. For example, when the user is feeling stressed, we will suggest a relaxing wallpaper and lighting combination. Furthermore, we will develop an interface that uses the emotion estimation function to suggest the most relaxing wallpaper and lighting combination for the user. For example, when the user is excited, we will suggest a relaxing wallpaper and lighting combination. This makes it possible to suggest the most relaxing wallpaper and lighting combination for the user.

[0088] The calendar function can automatically suggest wallpaper designs according to the season or event. The calendar function can automatically suggest wallpaper designs according to the season or event. For example, a calendar function can be added to automatically suggest wallpaper designs according to the season. For example, a cherry blossom design can be suggested in spring, and an ocean design can be suggested in summer. The calendar function can also be used to automatically suggest wallpaper designs that match specific events. For example, a Christmas tree design can be suggested for Christmas, and a pumpkin design can be suggested for Halloween. Furthermore, a calendar function can be added to automatically suggest wallpaper designs that match the user's birthday or anniversary. For example, a birthday cake design can be suggested for the user's birthday. This makes it possible to automatically suggest wallpaper designs that match the season or event.

[0089] A diffuser system can be introduced that changes the scent in a room in conjunction with a change of wallpaper. A diffuser system can be introduced that changes the scent in a room in conjunction with a change of wallpaper. For example, if the wallpaper is changed to a forest design, a forest scent will waft through the air. The diffuser system can also be used to automatically adjust the scent in a room when the wallpaper is changed. For example, if the wallpaper is changed to an ocean design, an ocean scent will waft through the air. Furthermore, a diffuser system can be developed that changes the scent in a room in conjunction with a change of wallpaper. For example, if the wallpaper is changed to a floral design, a floral scent will waft through the air. This allows the scent in a room to change in conjunction with a change of wallpaper.

[0090] A system can be introduced that adjusts the room temperature and humidity in conjunction with a change in wallpaper. A system can be introduced that adjusts the room temperature and humidity in conjunction with a change in wallpaper. For example, a system can be introduced that automatically adjusts the room temperature in conjunction with a change in wallpaper. For example, when the wallpaper is changed to a winter design, the room temperature becomes warmer. A system can also be introduced that automatically adjusts the room humidity in conjunction with a change in wallpaper. For example, when the wallpaper is changed to a summer design, the room humidity decreases. Furthermore, a system can be introduced that comprehensively adjusts the room temperature and humidity in conjunction with a change in wallpaper. For example, when the wallpaper is changed to a spring design, the room temperature and humidity are kept comfortable. In this way, the room temperature and humidity can be adjusted in conjunction with a change in wallpaper.

[0091] An entertainment system can be introduced that changes the music and images in a room in conjunction with a change in wallpaper. For example, an entertainment system can be introduced that automatically changes the music in a room in conjunction with a change in wallpaper. For example, when the wallpaper is changed to an ocean design, the sound of waves plays. An entertainment system can also be introduced that automatically changes the images in a room in conjunction with a change in wallpaper. For example, when the wallpaper is changed to a forest design, a video of birds chirping plays. An entertainment system can also be introduced that comprehensively adjusts the music and images in a room in conjunction with a change in wallpaper. For example, when the wallpaper is changed to a night sky design, a video of a starry sky and quiet music plays. In this way, the music and images in a room can be changed in conjunction with a change in wallpaper.

[0092] The emotion estimation function can automatically adjust the atmosphere of the entire room according to the user's emotions. The emotion estimation function can automatically adjust the atmosphere of the entire room according to the user's emotions, for example. For example, a system is developed that uses the emotion estimation function to automatically adjust the atmosphere of the entire room according to the user's emotions. For example, when the user is relaxed, a relaxing atmosphere is created. Furthermore, the user's emotions are monitored in real time and the atmosphere of the entire room is automatically adjusted according to the emotions. For example, when the user is feeling stressed, a relaxing atmosphere is created. Furthermore, an interface is developed that automatically adjusts the atmosphere of the entire room according to the user's emotions using the emotion estimation function. For example, when the user is excited, an uplifting atmosphere is created. In this way, the atmosphere of the entire room can be automatically adjusted according to the user's emotions.

[0093] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0094] The wallpaper change system can further include a voice recognition unit. The voice recognition unit can analyze the user's voice commands and change the wallpaper. For example, if the user says, "Change the wallpaper to an ocean scene," the voice recognition unit analyzes the command and changes the wallpaper to an ocean scene. The voice recognition unit can also change the color and design of the wallpaper. For example, if the user says, "Change the wallpaper color to blue," the wallpaper color will change to blue. Furthermore, the voice recognition unit can instruct the generation AI on the wallpaper design based on the user's voice command. This allows the user to freely change the wallpaper using voice commands.

[0095] The wallpaper change system can further include a gesture recognition unit. The gesture recognition unit can analyze the user's hand movements and change the wallpaper. For example, when the user moves their hand left and right, the gesture recognition unit analyzes the movement and changes the wallpaper. The gesture recognition unit can also change the color and design of the wallpaper. For example, moving their hand up changes the color of the wallpaper. Furthermore, the gesture recognition unit can instruct the generation AI on the wallpaper design based on the user's gesture. This allows the user to freely change the wallpaper using their hand movements.

[0096] The wallpaper change system can further include a calendar function. The calendar function can automatically suggest wallpaper designs according to seasons and events. For example, it can suggest a cherry blossom design in spring and an ocean design in summer. The calendar function can also automatically suggest wallpaper designs that match specific events. For example, it can suggest a Christmas tree design for Christmas and a pumpkin design for Halloween. Furthermore, the calendar function can automatically suggest wallpaper designs that match the user's birthday or anniversary. This makes it possible to automatically suggest wallpaper designs that match seasons and events.

[0097] The wallpaper change system can further include a diffuser system. The diffuser system can change the scent of the room in conjunction with the wallpaper change. For example, if the wallpaper is changed to a forest design, the diffuser system can fill the room with a forest scent. Alternatively, if the wallpaper is changed to an ocean design, the diffuser system can fill the room with an ocean scent. Furthermore, the diffuser system can automatically adjust the scent according to the wallpaper design. This allows the scent of the room to change in conjunction with the wallpaper change.

[0098] The wallpaper change system can further include an entertainment system. The entertainment system can change the music and images in the room in conjunction with the wallpaper change. For example, when the wallpaper is changed to an ocean design, the sound of waves will play. When the wallpaper is changed to a forest design, the image of birds chirping will play. Furthermore, the entertainment system can automatically adjust the music and images according to the wallpaper design. This allows the music and images in the room to be changed in conjunction with the wallpaper change.

[0099] The wallpaper change system may further include an emotion estimation function. The emotion estimation function may generate a wallpaper design based on the user's emotion. For example, when the user is relaxed, a wallpaper with a relaxing design may be generated. When the user is feeling stressed, a wallpaper with a relaxing landscape design may be generated. Furthermore, the emotion estimation function may monitor the user's emotion in real time and generate a wallpaper design based on the emotion. This allows a wallpaper design based on the user's emotion to be generated.

[0100] The wallpaper change system can further include an emotion estimation function. The emotion estimation function can fine-tune the color tone and design of the wallpaper according to the user's emotion. For example, when the user is relaxed, the color tone of the wallpaper can be changed to a warm color. When the user is stressed, the wallpaper design can be changed to a simple, calming design. Furthermore, the emotion estimation function can monitor the user's emotion in real time and fine-tune the color tone and design of the wallpaper according to the emotion. This allows the color tone and design of the wallpaper to be fine-tuned according to the user's emotion.

[0101] The wallpaper change system can further include an emotion estimation function. The emotion estimation function can automatically change the wallpaper based on the user's emotion. For example, when the user is relaxed, the wallpaper can be automatically changed to a relaxing one. Also, when the user is feeling stressed, the wallpaper can be automatically changed to a relaxing one. Furthermore, the emotion estimation function can monitor the user's emotion in real time and automatically change the wallpaper according to the emotion. This allows the wallpaper to be automatically changed according to the user's emotion.

[0102] The wallpaper change system can further include an emotion estimation function. The emotion estimation function can simultaneously suggest music and fragrances that correspond to the user's emotions. For example, when the user is relaxed, relaxing music can be suggested. Also, when the user is feeling stressed, relaxing fragrances can be suggested. Furthermore, the emotion estimation function can monitor the user's emotions in real time and simultaneously suggest music and fragrances that correspond to the emotions. This makes it possible to simultaneously suggest music and fragrances that correspond to the user's emotions.

[0103] The wallpaper change system can further include an emotion estimation function. The emotion estimation function can automatically adjust the atmosphere of the entire room according to the user's emotion. For example, when the user is relaxed, a relaxing atmosphere can be created. Also, when the user is feeling stressed, a relaxing atmosphere can be created. Furthermore, the emotion estimation function can monitor the user's emotion in real time and automatically adjust the atmosphere of the entire room according to the emotion. In this way, the atmosphere of the entire room can be automatically adjusted according to the user's emotion.

[0104] The processing flow of the second embodiment will be briefly explained below.

[0105] Step 1: Paper displays allow you to change wallpaper freely and instantly. For example, paper displays use electronic paper technology, allowing you to freely change the content displayed. Furthermore, paper displays have a thin, flexible structure and can be attached to the entire wall. Step 2: The ecosystem consumes power only when changing the wallpaper. For example, the ecosystem supplies power only when changing the display content of the paper display, and does not consume power after the display content is fixed. The ecosystem also has an energy management system that minimizes energy consumption. Step 3: The generation AI automatically generates an original wallpaper design based on the user's favorite photos and scenery. For example, the generation AI analyzes the photo and scenery data entered by the user and generates a wallpaper design based on that data. The generation AI can also generate wallpaper designs using text generation AI (e.g., LLM) or multimodal generation AI. Furthermore, the generation AI can generate wallpaper designs based on the user's instructions.

[0106] 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.

[0107] 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.

[0108] 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.

[0109] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0110] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0111] 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.

[0112] 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.

[0113] 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.

[0114] 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).

[0115] 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.

[0116] 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.

[0117] 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.

[0118] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0119] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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.

[0124] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0125] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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).

[0130] 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.

[0131] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0132] 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.

[0133] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0134] In the headset type terminal 314, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0135] 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.

[0136] 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.

[0137] 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.

[0138] 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.

[0139] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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).

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0150] In the robot 414, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The robot 414 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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.

[0156] 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.

[0157] 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.

[0158] 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).

[0159] 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.

[0160] 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."

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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.

[0170] 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.

[0171] 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.

[0172] 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]

[0173] 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. Equipped with a paper display, The paper display is You can change the wallpaper freely and instantly. With an ecosystem, The ecosystem is It only consumes power when changing the wallpaper. Equipped with generative AI, The generated AI is Automatically generate original wallpaper designs based on the user's favorite photos and scenery. A system characterized by:

2. The paper display is It can be pasted on the entire wall and the wallpaper can be changed freely.

2. The system of claim 1.

3. The paper display is You can change the wallpaper to suit the time of day or your mood.

2. The system of claim 1.

4. The generated AI is The wallpaper design is generated based on a user's instruction.

2. The system of claim 1.

5. The generated AI is Generate the wallpaper design based on the user's emotions 2. The system of claim 1.

Images