System

Abstract

An object of a system according to an embodiment is to enable a user to visually experience past and future figures based on photographs.SOLUTION: A system includes a photograph input unit, an analysis unit, a display unit, and a dial operation unit. The photograph input unit receives a photograph from a user. The analysis unit analyzes the photograph received by the photograph input unit. The display unit displays a result analyzed by the analysis unit. The dial operation unit changes the time based on the content displayed on the display unit.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Conventional technology has the problem that it is difficult to visually experience the past or future based on photographs.

[0005] The system according to the embodiment aims to enable users to visually experience the past and future based on photographs. [Means for solving the problem]

[0006] The system according to the embodiment includes a photo input unit, an analysis unit, a display unit, and a dial operation unit. The photo input unit receives a photo from a user. The analysis unit analyzes the photo received by the photo input unit. The display unit displays the results of the analysis by the analysis unit. The dial operation unit changes the time based on the content displayed on the display unit. [Effects of the Invention]

[0007] The system according to the embodiment can allow users to visually experience the past or future based on photographs. [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 pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

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

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

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

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

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

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

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

[0028] (Example 1) The Time Lens System according to an embodiment of the present invention is a system in which a generative AI calculates and displays past and future images based on photographs. This allows users to simulate past experiences of their current location and visually explore future possibilities.

[0029] The time lens system according to the embodiment includes a photo input unit, an analysis unit, a display unit, and a dial operation unit. The photo input unit receives a photo from a user. For example, digital photos can be directly input. Analog photos can also be scanned and digitized. The photo input unit can receive color or monochrome photos. The analysis unit analyzes the photo received by the photo input unit. For example, the analysis unit can recognize objects included in the photo using image recognition technology. The analysis unit can extract features of the photo using pattern recognition technology. The analysis unit can analyze the content of the photo using a machine learning algorithm. The display unit displays the results of the analysis by the analysis unit. For example, the display unit displays the analysis results using a display. The display unit can display detailed analysis results using a high-resolution display. The display unit can display the analysis results using different display formats (e.g., 2D display or 3D display). The dial operation unit changes the time based on the content displayed on the display unit. For example, the dial operation unit can go back in time by turning the dial counterclockwise. Furthermore, the dial operation unit can move forward to the future by turning the dial to the right. The dial operation unit can also change the time unit (e.g., year, month, day). This allows the time lens system according to the embodiment to allow the user to input a photo, display the analysis results, and change the time. For example, the user can input a photo of a current landscape and visually confirm the past or future appearance. The user can also explore past historical events and future technological trends.

[0030] The analysis unit analyzes detailed attributes of objects included in a photograph and can recreate their past and future appearances. For example, the analysis unit analyzes the materials of buildings included in a captured photograph and recreates the building's past deterioration and its future appearance after renovation. For example, it calculates how a brick building will weather and how it will be repaired in the future. The analysis unit also analyzes the type of plants and recreates past vegetation conditions and future vegetation plans. For example, it calculates how a particular tree will grow and how it will be positioned in the future. The analysis unit also analyzes the pavement condition of a road and recreates past pavement conditions and future pavement plans. For example, it calculates the deterioration of asphalt and future repair plans. This makes it possible to analyze detailed attributes of objects included in a photograph and recreate their past and future appearances.

[0031] The analysis unit can refer to past weather data and environmental data based on the date and time the photo was taken and location information, and generate a past appearance. For example, the analysis unit can refer to past weather data based on the date and time the photo was taken and location information, and recreate the weather and temperature at that time. For example, it can display the weather at the same location 50 years ago. The analysis unit can also refer to past environmental data to recreate the vegetation and topography at that time. For example, it can display the distribution of forests and the flow of rivers in the past. The analysis unit can also refer to past urban planning data to recreate the structure of the city at that time. For example, it can display the placement of buildings and the layout of roads in the past. In this way, it is possible to refer to past weather data and environmental data based on the date and time the photo was taken and location information, and generate a past appearance.

[0032] The photo input unit can accept not only photos but also videos as input, and generate past and future images for each frame of the video. The photo input unit, for example, accepts videos as input, and generates past and future images for each frame. For example, it displays past and future images every second, visualizing changes over time throughout the video. The photo input unit also analyzes the frame rate and resolution of the video, and generates highly accurate past and future images for each frame. For example, for a video with 30 frames per second, it generates past and future images for each frame. The photo input unit can also generate past and future images for specific scenes in the video. For example, it generates past and future images for scenes that show specific buildings or landscapes. This makes it possible to accept not only photos but also videos as input, and generate past and future images for each frame of the video.

[0033] The photo input unit can combine multiple photos to create a panoramic view and generate past and future views for the panoramic view. The photo input unit, for example, combines multiple photos to create a panoramic view and generates past and future views for the panoramic view. For example, it creates a 360-degree panoramic view to display a full view of the past or future. The photo input unit can also create a panoramic view by combining photos taken from different angles. For example, it can synthesize multiple photos to create a wide-angle panoramic view. The photo input unit can also adjust the resolution and viewing angle of the panoramic view. For example, it can create a high-resolution panoramic view to display a detailed view of the past or future. This makes it possible to create a panoramic view by combining multiple photos and generate past and future views for the panoramic view.

[0034] The dial operation unit can provide an interface for changing the time using voice commands or gesture recognition in addition to dial operation. The dial operation unit provides an interface for changing the time using, for example, voice commands. For example, the time is changed using voice commands such as "go back to the past" or "go forward to the future." The dial operation unit also provides an interface for changing the time using gesture recognition. For example, the time is changed using hand movements or finger gestures. The dial operation unit can also adjust the accuracy of the voice commands and gesture recognition. For example, it can be set to have high recognition accuracy for specific voice commands and gestures. This makes it possible to provide an interface for changing the time using voice commands and gesture recognition.

[0035] The dial operation unit can be added with a function to dynamically change the speed and direction of time progression depending on the speed and direction of rotation of the dial. The dial operation unit can be added with a function to dynamically change the speed of time progression depending on, for example, the speed of rotation of the dial. For example, turning the dial quickly makes time progress faster, and turning it slowly makes time progress slower. The dial operation unit can also be added with a function to dynamically change the direction of time progression depending on the direction of rotation of the dial. For example, turning the dial clockwise moves forward to the future, and turning it counterclockwise moves backward to the past. The dial operation unit can also be adjusted for sensitivity to the rotation speed and direction. For example, it can be set to respond accurately to even minute rotation operations. This allows the speed and direction of time progression to be dynamically changed depending on the speed and direction of rotation of the dial.

[0036] The dial operation unit can provide an interface for changing the time using a touch screen or a smartphone app in addition to dial operation. The dial operation unit provides an interface for changing the time using, for example, a touch screen. For example, the time is changed by performing a swipe operation on the screen. The dial operation unit also provides an interface for changing the time using a smartphone app. For example, the time is changed by performing a tap or drag operation on the smartphone screen. The dial operation unit can also adjust the operation sensitivity of the touch screen or smartphone app. For example, it can be set to have high response accuracy for specific operations. This makes it possible to provide an interface for changing the time using a touch screen or smartphone app.

[0037] The dial operation unit provides a multi-user interface that allows multiple users to operate the dials simultaneously, allowing them to change the time together. The dial operation unit provides a multi-user interface that allows multiple users to operate the dials simultaneously, for example, exploring the past or future together with family or friends. The dial operation unit can also set the division of roles between users. For example, one user can operate the past view, and another user can operate the future view. The dial operation unit can also adjust the method of simultaneous operation. For example, it can be set to respond smoothly even when multiple users operate at the same time. This provides a multi-user interface that allows multiple users to operate the dials simultaneously, allowing them to change the time together.

[0038] The analysis unit can add text and audio guides explaining historical events and cultural background when displaying a past appearance. For example, the analysis unit adds text guides explaining historical events when displaying a past appearance. For example, when displaying an appearance of a city 50 years ago, it displays text explaining important events and social background of that era. The analysis unit can also add audio guides explaining cultural background. For example, it provides audio cultural information related to past buildings and scenery. The analysis unit can also customize the content of the text and audio guides. For example, it can provide detailed explanations of specific historical events and cultural background according to the user's interests and concerns. This makes it possible to add text and audio guides explaining historical events and cultural background when displaying a past appearance.

[0039] When displaying a past appearance, the analysis unit can play back audio and music from that time, providing a more realistic experience. For example, when displaying a past appearance, the analysis unit plays back audio from that time. For example, when displaying a cityscape from the past, it plays back the sounds of the city and people's conversations from that time. The analysis unit can also play music from that time. For example, when displaying buildings and scenery from the past, it plays music from that time. The analysis unit can also customize how audio and music are played. For example, it selects and plays specific audio and music according to the user's preferences. This allows for playing back audio and music from that time when displaying a past appearance, providing a more realistic experience.

[0040] When displaying a past image, the analysis unit can use AR technology to overlay it on the real landscape. For example, when displaying a past image, the analysis unit can use AR technology to overlay it on the real landscape. For example, past buildings and scenery can be overlaid on the current landscape using a smartphone camera. The analysis unit can also adjust the type and implementation method of AR technology. For example, past images can be displayed using marker-type AR or markerless AR. The analysis unit can also customize the display content using AR technology. For example, specific past buildings and scenery can be highlighted and displayed according to the user's interests and concerns. This makes it possible to overlay past images on the real landscape using AR technology.

[0041] The analysis unit can provide an immersive experience using VR technology when displaying past images. For example, the analysis unit can use VR technology to provide an immersive experience when displaying past images. For example, a VR headset can be used to experience past cities and landscapes from a 360-degree perspective. The analysis unit can also adjust the type and implementation method of VR technology. For example, a head-mounted display or an immersive system can be used to display past images. The analysis unit can also customize the content displayed using VR technology. For example, specific past buildings and landscapes can be highlighted and displayed according to the user's interests. This makes it possible to provide an immersive experience using VR technology.

[0042] When displaying a future vision, the analysis unit can generate a more realistic future vision based on current technological trends and environmental forecast data. For example, when displaying a future vision, the analysis unit generates the future vision based on current technological trends. For example, it displays the future city based on current smart city technology. The analysis unit can also generate the future vision based on environmental forecast data. For example, it displays the future climate and environment based on climate change forecasts. The analysis unit can also adjust the type and information source of technological trends and environmental forecast data. For example, it generates a future vision based on the latest research results and market trends. This makes it possible to generate a more realistic future vision based on current technological trends and environmental forecast data.

[0043] When displaying a future image, the analysis unit can customize the display content based on a scenario selected by the user. For example, when displaying a future image, the analysis unit customizes the display content based on a scenario selected by the user. For example, when a sustainable urban development scenario is selected, an eco-friendly city of the future is displayed. The analysis unit can also adjust the type of scenario and the creation method. For example, the future image is displayed using a future prediction scenario or a simulation scenario. The analysis unit can also create a user-defined scenario. For example, the future image is displayed based on conditions set by the user. This allows the future image to be customized based on the scenario selected by the user.

[0044] When displaying the future, the analysis unit can present multiple future scenarios generated by AI and allow the user to select from them. For example, when displaying the future, the analysis unit can present multiple future scenarios generated by AI and allow the user to select from them. For example, it can present a sustainable urban development scenario or a technological innovation scenario. The analysis unit can also adjust the type and creation method of the future scenario. For example, it can display the future using a technological evolution scenario or a societal change scenario. The analysis unit can also customize the future scenario based on the user's selection. For example, it can highlight and display specific future elements based on the scenario selected by the user. This makes it possible to present multiple future scenarios generated by AI and allow the user to select from them.

[0045] The analysis unit can provide a function that allows a user to interactively change future elements (for example, building design or greening plans) when displaying the future appearance. The analysis unit can provide a function that allows a user to interactively change future elements when displaying the future appearance. For example, the user can freely change the building design or greening plan. The analysis unit can also adjust interactive operation methods and standards. For example, it can customize the user interface and operation methods. The analysis unit can also change future elements in real time based on user operations. For example, when a user changes the design of a building, the change is reflected immediately. This makes it possible to provide a function that allows a user to interactively change future elements.

[0046] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0047] The time lens system can further include a database unit. The database unit stores information about past historical events and cultural background, and the analysis unit references this information to generate past images. For example, when displaying the appearance of a city at a particular time, it is possible to display important events and social background from that time. The database unit can also provide customized information on specific themes that interest the user. This allows for more detailed information to be provided when displaying past images by referencing historical events and cultural background.

[0048] The time lens system may further include a user interface unit. The user interface unit uses a touch screen and gesture recognition to enable the user to intuitively operate the system. For example, the user can switch between the past and future views by swiping on the screen. The user interface unit may also record the user's operation history and customize it to make frequently used operations easier. This allows the user to intuitively operate the system and easily switch between the past and future views.

[0049] The time lens system can further include an AR display unit. The AR display unit displays past or future images superimposed on the real landscape. For example, it can display past buildings and scenery superimposed on the current landscape through a smartphone camera. The AR display unit can also display past or future information related to a specific location based on the user's location information. This allows the user to simultaneously view the real landscape and the past or future images, providing a more immersive experience.

[0050] The Time Lens System can further include a VR display unit. The VR display unit allows users to immersively experience the past or future using a VR headset. For example, it can experience a city or landscape from the past from a 360-degree perspective. The VR display unit can also change the viewpoint according to the user's movements, providing a more realistic experience. This allows users to immersively experience the past or future and gain a deeper understanding.

[0051] The time lens system can further include a scenario selection unit. The scenario selection unit customizes the past and future images based on a scenario selected by the user. For example, if a sustainable urban development scenario is selected, an eco-friendly city of the future can be displayed. The scenario selection unit can also display the future image based on conditions set by the user. This allows the past and future images to be customized based on the scenario selected by the user.

[0052] The time lens system can further include an interactive operation unit. The interactive operation unit provides a function that allows a user to interactively change future elements (e.g., building design or greening plans). For example, when a user changes the design of a building, the change is immediately reflected. The interactive operation unit can also change future elements in real time based on user operations. This allows a user to interactively change future elements and generate a more personalized future.

[0053] The processing flow of the first embodiment will be briefly explained below.

[0054] Step 1: The photo input unit receives a photo from the user. For example, a digital photo can be input directly. Alternatively, an analog photo can be scanned and digitized. Furthermore, the photo input unit can receive color or monochrome photos. Step 2: The analysis unit analyzes the photo received by the photo input unit. For example, the analysis unit may use image recognition technology to recognize objects included in the photo. The analysis unit may also use pattern recognition technology to extract features of the photo. The analysis unit may also use machine learning algorithms to analyze the content of the photo. Step 3: The display unit displays the results of the analysis performed by the analysis unit. For example, the display unit displays the analysis results using a display. The display unit can also display detailed analysis results using a high-resolution display. The display unit can also display the analysis results using different display formats (for example, 2D display or 3D display). Step 4: The dial operation unit changes the time based on the content displayed on the display unit. For example, the dial operation unit can go back in time by turning the dial to the left. The dial operation unit can go forward in time by turning the dial to the right. The dial operation unit can also change the time unit (e.g., year, month, day).

[0055] (Example 2) The Time Lens System according to an embodiment of the present invention is a system in which a generative AI calculates and displays past and future images based on photographs. This allows users to simulate past experiences of their current location and visually explore future possibilities.

[0056] The time lens system according to the embodiment includes a photo input unit, an analysis unit, a display unit, and a dial operation unit. The photo input unit receives a photo from a user. For example, digital photos can be directly input. Analog photos can also be scanned and digitized. The photo input unit can receive color or monochrome photos. The analysis unit analyzes the photo received by the photo input unit. For example, the analysis unit can recognize objects included in the photo using image recognition technology. The analysis unit can extract features of the photo using pattern recognition technology. The analysis unit can analyze the content of the photo using a machine learning algorithm. The display unit displays the results of the analysis by the analysis unit. For example, the display unit displays the analysis results using a display. The display unit can display detailed analysis results using a high-resolution display. The display unit can display the analysis results using different display formats (e.g., 2D display or 3D display). The dial operation unit changes the time based on the content displayed on the display unit. For example, the dial operation unit can go back in time by turning the dial counterclockwise. Furthermore, the dial operation unit can move forward to the future by turning the dial to the right. The dial operation unit can also change the time unit (e.g., year, month, day). This allows the time lens system according to the embodiment to allow the user to input a photo, display the analysis results, and change the time. For example, the user can input a photo of a current landscape and visually confirm the past or future appearance. The user can also explore past historical events and future technological trends.

[0057] The analysis unit analyzes detailed attributes of objects included in a photograph and can recreate their past and future appearances. For example, the analysis unit analyzes the materials of buildings included in a captured photograph and recreates the building's past deterioration and its future appearance after renovation. For example, it calculates how a brick building will weather and how it will be repaired in the future. The analysis unit also analyzes the type of plants and recreates past vegetation conditions and future vegetation plans. For example, it calculates how a particular tree will grow and how it will be positioned in the future. The analysis unit also analyzes the pavement condition of a road and recreates past pavement conditions and future pavement plans. For example, it calculates the deterioration of asphalt and future repair plans. This makes it possible to analyze detailed attributes of objects included in a photograph and recreate their past and future appearances.

[0058] The analysis unit can refer to past weather data and environmental data based on the date and time the photo was taken and location information, and generate a past appearance. For example, the analysis unit can refer to past weather data based on the date and time the photo was taken and location information, and recreate the weather and temperature at that time. For example, it can display the weather at the same location 50 years ago. The analysis unit can also refer to past environmental data to recreate the vegetation and topography at that time. For example, it can display the distribution of forests and the flow of rivers in the past. The analysis unit can also refer to past urban planning data to recreate the structure of the city at that time. For example, it can display the placement of buildings and the layout of roads in the past. In this way, it is possible to refer to past weather data and environmental data based on the date and time the photo was taken and location information, and generate a past appearance.

[0059] The analysis unit can use the emotion estimation function to analyze the emotion of the user who took the photo and customize the past and future appearances based on that emotion. The analysis unit, for example, analyzes the user's facial expression and voice when taking the photo and customizes the past and future appearances based on that emotion. For example, if the user has a happy expression, a positive future appearance is displayed. The analysis unit can also analyze the user's heart rate and electrodermal activity and customize the past and future appearances based on that emotion. For example, if the user is relaxed, a calm future appearance is displayed. The analysis unit can also analyze the user's voice tone and speed and customize the past and future appearances based on that emotion. For example, if the user is excited, a dynamic future appearance is displayed. In this way, the emotion estimation function can be used to customize the past and future appearances based on the user's emotion.

[0060] The photo input unit can accept not only photos but also videos as input, and generate past and future images for each frame of the video. The photo input unit, for example, accepts videos as input, and generates past and future images for each frame. For example, it displays past and future images every second, visualizing changes over time throughout the video. The photo input unit also analyzes the frame rate and resolution of the video, and generates highly accurate past and future images for each frame. For example, for a video with 30 frames per second, it generates past and future images for each frame. The photo input unit can also generate past and future images for specific scenes in the video. For example, it generates past and future images for scenes that show specific buildings or landscapes. This makes it possible to accept not only photos but also videos as input, and generate past and future images for each frame of the video.

[0061] The photo input unit can combine multiple photos to create a panoramic view and generate past and future views for the panoramic view. The photo input unit, for example, combines multiple photos to create a panoramic view and generates past and future views for the panoramic view. For example, it creates a 360-degree panoramic view to display a full view of the past or future. The photo input unit can also create a panoramic view by combining photos taken from different angles. For example, it can synthesize multiple photos to create a wide-angle panoramic view. The photo input unit can also adjust the resolution and viewing angle of the panoramic view. For example, it can create a high-resolution panoramic view to display a detailed view of the past or future. This makes it possible to create a panoramic view by combining multiple photos and generate past and future views for the panoramic view.

[0062] The analysis unit can use the emotion estimation function to analyze the user's emotional response in real time when viewing past or future images, and adjust the display content based on that response. For example, the analysis unit can analyze the user's facial expressions and voice in real time when viewing past or future images, and adjust the display content based on that emotional response. For example, if the user is surprised, a more detailed future prediction is displayed. The analysis unit can also analyze the user's heart rate and electrodermal activity in real time, and adjust the display content based on that emotional response. For example, if the user is relaxed, a calm future image is displayed. The analysis unit can also analyze the user's voice tone and speed in real time, and adjust the display content based on that emotional response. For example, if the user is excited, a dynamic future image is displayed. In this way, the emotion estimation function can be used to adjust the display content based on the user's emotional response.

[0063] The dial operation unit can provide an interface for changing the time using voice commands or gesture recognition in addition to dial operation. The dial operation unit provides an interface for changing the time using, for example, voice commands. For example, the time is changed using voice commands such as "go back to the past" or "go forward to the future." The dial operation unit also provides an interface for changing the time using gesture recognition. For example, the time is changed using hand movements or finger gestures. The dial operation unit can also adjust the accuracy of the voice commands and gesture recognition. For example, it can be set to have high recognition accuracy for specific voice commands and gestures. This makes it possible to provide an interface for changing the time using voice commands and gesture recognition.

[0064] The dial operation unit can be added with a function to dynamically change the speed and direction of time progression depending on the speed and direction of rotation of the dial. The dial operation unit can be added with a function to dynamically change the speed of time progression depending on, for example, the speed of rotation of the dial. For example, turning the dial quickly makes time progress faster, and turning it slowly makes time progress slower. The dial operation unit can also be added with a function to dynamically change the direction of time progression depending on the direction of rotation of the dial. For example, turning the dial clockwise moves forward to the future, and turning it counterclockwise moves backward to the past. The dial operation unit can also be adjusted for sensitivity to the rotation speed and direction. For example, it can be set to respond accurately to even minute rotation operations. This allows the speed and direction of time progression to be dynamically changed depending on the speed and direction of rotation of the dial.

[0065] The dial operation unit can use the emotion estimation function to automatically adjust the change in time according to the emotional state of the user. The dial operation unit, for example, uses the emotion estimation function to automatically adjust the change in time according to the emotional state of the user. For example, if the user is excited, the time is advanced faster. The dial operation unit also analyzes the emotional state of the user in real time and changes the time based on the results. For example, if the user is relaxed, the time is advanced slowly. The dial operation unit can also adjust the accuracy of the emotion estimation function. For example, it can be set to have high recognition accuracy for specific emotional states. This allows the emotion estimation function to automatically adjust the change in time according to the emotional state of the user.

[0066] The dial operation unit can provide an interface for changing the time using a touch screen or a smartphone app in addition to dial operation. The dial operation unit provides an interface for changing the time using, for example, a touch screen. For example, the time is changed by performing a swipe operation on the screen. The dial operation unit also provides an interface for changing the time using a smartphone app. For example, the time is changed by performing a tap or drag operation on the smartphone screen. The dial operation unit can also adjust the operation sensitivity of the touch screen or smartphone app. For example, it can be set to have high response accuracy for specific operations. This makes it possible to provide an interface for changing the time using a touch screen or smartphone app.

[0067] The dial operation unit provides a multi-user interface that allows multiple users to operate the dials simultaneously, allowing them to change the time together. The dial operation unit provides a multi-user interface that allows multiple users to operate the dials simultaneously, for example, exploring the past or future together with family or friends. The dial operation unit can also set the division of roles between users. For example, one user can operate the past view, and another user can operate the future view. The dial operation unit can also adjust the method of simultaneous operation. For example, it can be set to respond smoothly even when multiple users operate at the same time. This provides a multi-user interface that allows multiple users to operate the dials simultaneously, allowing them to change the time together.

[0068] The dial operation unit can use the emotion estimation function to suggest an optimal time change based on the emotional reaction of the user when viewing past or future images. The dial operation unit, for example, uses the emotion estimation function to suggest an optimal time change based on the emotional reaction of the user when viewing past or future images. For example, if the user is surprised, a suggestion going back further in time may be made. The dial operation unit also analyzes the user's past operation history and suggests an optimal time change based on the results. For example, a suggestion may be made based on time periods in which the user frequently operated the device in the past. The dial operation unit also analyzes patterns of emotional reactions and suggests an optimal time change based on the results. For example, if the user is moved, a more detailed prediction of the future may be suggested. In this way, the emotion estimation function can be used to suggest an optimal time change based on the user's emotional reaction.

[0069] The analysis unit can add text and audio guides explaining historical events and cultural background when displaying a past appearance. For example, the analysis unit adds text guides explaining historical events when displaying a past appearance. For example, when displaying an appearance of a city 50 years ago, it displays text explaining important events and social background of that era. The analysis unit can also add audio guides explaining cultural background. For example, it provides audio cultural information related to past buildings and scenery. The analysis unit can also customize the content of the text and audio guides. For example, it can provide detailed explanations of specific historical events and cultural background according to the user's interests and concerns. This makes it possible to add text and audio guides explaining historical events and cultural background when displaying a past appearance.

[0070] When displaying a past appearance, the analysis unit can play back audio and music from that time, providing a more realistic experience. For example, when displaying a past appearance, the analysis unit plays back audio from that time. For example, when displaying a cityscape from the past, it plays back the sounds of the city and people's conversations from that time. The analysis unit can also play music from that time. For example, when displaying buildings and scenery from the past, it plays music from that time. The analysis unit can also customize how audio and music are played. For example, it selects and plays specific audio and music according to the user's preferences. This allows for playing back audio and music from that time when displaying a past appearance, providing a more realistic experience.

[0071] The analysis unit can use the emotion estimation function to analyze the emotional reaction of the user when viewing past appearances and customize the display content based on that reaction. The analysis unit, for example, uses the emotion estimation function to analyze the emotional reaction of the user when viewing past appearances and customize the display content based on that reaction. For example, if the user is moved, more detailed past information is displayed. The analysis unit also analyzes the user's heart rate and electrodermal activity and customizes the display content based on the emotional reaction. For example, if the user is relaxed, a calm past appearance is displayed. The analysis unit also analyzes the user's voice tone and speed and customizes the display content based on the emotional reaction. For example, if the user is excited, a dynamic past appearance is displayed. In this way, the emotion estimation function can be used to customize the display content based on the user's emotional reaction.

[0072] When displaying a past image, the analysis unit can use AR technology to overlay it on the real landscape. For example, when displaying a past image, the analysis unit can use AR technology to overlay it on the real landscape. For example, past buildings and scenery can be overlaid on the current landscape using a smartphone camera. The analysis unit can also adjust the type and implementation method of AR technology. For example, past images can be displayed using marker-type AR or markerless AR. The analysis unit can also customize the display content using AR technology. For example, specific past buildings and scenery can be highlighted and displayed according to the user's interests and concerns. This makes it possible to overlay past images on the real landscape using AR technology.

[0073] The analysis unit can provide an immersive experience using VR technology when displaying past images. For example, the analysis unit can use VR technology to provide an immersive experience when displaying past images. For example, a VR headset can be used to experience past cities and landscapes from a 360-degree perspective. The analysis unit can also adjust the type and implementation method of VR technology. For example, a head-mounted display or an immersive system can be used to display past images. The analysis unit can also customize the content displayed using VR technology. For example, specific past buildings and landscapes can be highlighted and displayed according to the user's interests. This makes it possible to provide an immersive experience using VR technology.

[0074] The analysis unit can use the emotion estimation function to provide a function for sharing emotions with other users based on the emotional reaction of the user when viewing past appearances. The analysis unit, for example, uses the emotion estimation function to provide a function for sharing emotions with other users based on the emotional reaction of the user when viewing past appearances. For example, if a user is moved, the emotion is shared with other users. The analysis unit can also adjust the method and criteria for sharing emotions. For example, emotions are shared using SNS integration or real-time sharing. The analysis unit can also customize the method for visualizing emotions. For example, the intensity and type of emotion are displayed as a graph or icon. This makes it possible to use the emotion estimation function to provide a function for sharing emotions with other users based on the user's emotional reaction.

[0075] When displaying a future vision, the analysis unit can generate a more realistic future vision based on current technological trends and environmental forecast data. For example, when displaying a future vision, the analysis unit generates the future vision based on current technological trends. For example, it displays the future city based on current smart city technology. The analysis unit can also generate the future vision based on environmental forecast data. For example, it displays the future climate and environment based on climate change forecasts. The analysis unit can also adjust the type and information source of technological trends and environmental forecast data. For example, it generates a future vision based on the latest research results and market trends. This makes it possible to generate a more realistic future vision based on current technological trends and environmental forecast data.

[0076] When displaying a future image, the analysis unit can customize the display content based on a scenario selected by the user. For example, when displaying a future image, the analysis unit customizes the display content based on a scenario selected by the user. For example, when a sustainable urban development scenario is selected, an eco-friendly city of the future is displayed. The analysis unit can also adjust the type of scenario and the creation method. For example, the future image is displayed using a future prediction scenario or a simulation scenario. The analysis unit can also create a user-defined scenario. For example, the future image is displayed based on conditions set by the user. This allows the future image to be customized based on the scenario selected by the user.

[0077] The analysis unit can use the emotion estimation function to analyze the user's emotional reaction when viewing the future image and adjust the display content based on that reaction. For example, the analysis unit can use the emotion estimation function to analyze the user's emotional reaction when viewing the future image and adjust the display content based on that reaction. For example, if the user is surprised, a more detailed future prediction is displayed. The analysis unit can also analyze the user's heart rate and electrodermal activity and adjust the display content based on the emotional reaction. For example, if the user is relaxed, a calm future image is displayed. The analysis unit can also analyze the user's voice tone and speed and adjust the display content based on the emotional reaction. For example, if the user is excited, a dynamic future image is displayed. In this way, the emotion estimation function can be used to adjust the display content of the future image based on the user's emotional reaction.

[0078] When displaying the future, the analysis unit can present multiple future scenarios generated by AI and allow the user to select from them. For example, when displaying the future, the analysis unit can present multiple future scenarios generated by AI and allow the user to select from them. For example, it can present a sustainable urban development scenario or a technological innovation scenario. The analysis unit can also adjust the type and creation method of the future scenario. For example, it can display the future using a technological evolution scenario or a societal change scenario. The analysis unit can also customize the future scenario based on the user's selection. For example, it can highlight and display specific future elements based on the scenario selected by the user. This makes it possible to present multiple future scenarios generated by AI and allow the user to select from them.

[0079] The analysis unit can provide a function that allows a user to interactively change future elements (for example, building design or greening plans) when displaying the future appearance. The analysis unit can provide a function that allows a user to interactively change future elements when displaying the future appearance. For example, the user can freely change the building design or greening plan. The analysis unit can also adjust interactive operation methods and standards. For example, it can customize the user interface and operation methods. The analysis unit can also change future elements in real time based on user operations. For example, when a user changes the design of a building, the change is reflected immediately. This makes it possible to provide a function that allows a user to interactively change future elements.

[0080] The analysis unit can use the emotion estimation function to provide a function for sharing emotions with other users based on the emotional reaction of the user when viewing the future image. The analysis unit, for example, uses the emotion estimation function to provide a function for sharing emotions with other users based on the emotional reaction of the user when viewing the future image. For example, if a user is moved, the emotion is shared with other users. The analysis unit can also adjust the method and criteria for sharing emotions. For example, emotions are shared using SNS integration or real-time sharing. The analysis unit can also customize the method for visualizing emotions. For example, the intensity and type of emotion are displayed as a graph or icon. This makes it possible to use the emotion estimation function to provide a function for sharing emotions with other users based on the user's emotional reaction.

[0081] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0082] The time lens system can further include a voice recognition unit. The voice recognition unit analyzes the user's voice commands and operates the system. For example, if the user says, "Show me past images," the system will display past images. The voice recognition unit can also analyze the user's voice tone and speed and adjust the display content based on the user's emotions. For example, if the user is excited, a more dynamic future image can be displayed. This allows the system to be operated using voice recognition and the display content to be adjusted based on the user's emotions.

[0083] The time lens system can further include a database unit. The database unit stores information about past historical events and cultural background, and the analysis unit references this information to generate past images. For example, when displaying the appearance of a city at a particular time, it is possible to display important events and social background from that time. The database unit can also provide customized information on specific themes that interest the user. This allows for more detailed information to be provided when displaying past images by referencing historical events and cultural background.

[0084] The time lens system may further include a user interface unit. The user interface unit uses a touch screen and gesture recognition to enable the user to intuitively operate the system. For example, the user can switch between the past and future views by swiping on the screen. The user interface unit may also record the user's operation history and customize it to make frequently used operations easier. This allows the user to intuitively operate the system and easily switch between the past and future views.

[0085] The Time Lens System can further include an emotion sharing unit. The emotion sharing unit analyzes the emotional reaction of the user when viewing past or future images, and provides a function for sharing those emotions with other users. For example, if a user is moved, they can share their emotions with other users via social networking services. The emotion sharing unit can also display the intensity and type of emotions using graphs or icons, allowing other users to visually understand those emotions. This allows the user's emotional reactions to be shared with other users, creating empathy.

[0086] The time lens system can further include an AR display unit. The AR display unit displays past or future images superimposed on the real landscape. For example, it can display past buildings and scenery superimposed on the current landscape through a smartphone camera. The AR display unit can also display past or future information related to a specific location based on the user's location information. This allows the user to simultaneously view the real landscape and the past or future images, providing a more immersive experience.

[0087] The Time Lens System can further include a VR display unit. The VR display unit allows users to immersively experience the past or future using a VR headset. For example, it can experience a city or landscape from the past from a 360-degree perspective. The VR display unit can also change the viewpoint according to the user's movements, providing a more realistic experience. This allows users to immersively experience the past or future and gain a deeper understanding.

[0088] The time lens system may further include an emotional feedback unit. The emotional feedback unit analyzes the user's emotional response in real time when viewing past or future images, and adjusts the display content based on that response. For example, if the user is surprised, a more detailed future prediction can be displayed. The emotional feedback unit may also analyze the user's heart rate and electrodermal activity in real time, and adjust the display content based on the user's emotional response. This allows the display content to be dynamically adjusted based on the user's emotional response, providing a more personalized experience.

[0089] The time lens system can further include a scenario selection unit. The scenario selection unit customizes the past and future images based on a scenario selected by the user. For example, if a sustainable urban development scenario is selected, an eco-friendly city of the future can be displayed. The scenario selection unit can also display the future image based on conditions set by the user. This allows the past and future images to be customized based on the scenario selected by the user.

[0090] The time lens system can further include an emotion estimation unit. The emotion estimation unit analyzes the user's emotional reaction when viewing past or future images and suggests an optimal time change based on that reaction. For example, if the user is surprised, a suggestion can be made that goes back further in time. The emotion estimation unit can also analyze the user's past operation history and suggest an optimal time change based on the results. This makes it possible to suggest an optimal time change based on the user's emotional reaction and operation history.

[0091] The time lens system can further include an interactive operation unit. The interactive operation unit provides a function that allows a user to interactively change future elements (e.g., building design or greening plans). For example, when a user changes the design of a building, the change is immediately reflected. The interactive operation unit can also change future elements in real time based on user operations. This allows a user to interactively change future elements and generate a more personalized future.

[0092] The processing flow of the second embodiment will be briefly explained below.

[0093] Step 1: The photo input unit receives a photo from the user. For example, a digital photo can be input directly. Alternatively, an analog photo can be scanned and digitized. Furthermore, the photo input unit can receive color or monochrome photos. Step 2: The analysis unit analyzes the photo received by the photo input unit. For example, the analysis unit may use image recognition technology to recognize objects included in the photo. The analysis unit may also use pattern recognition technology to extract features of the photo. The analysis unit may also use machine learning algorithms to analyze the content of the photo. Step 3: The display unit displays the results of the analysis performed by the analysis unit. For example, the display unit displays the analysis results using a display. The display unit can also display detailed analysis results using a high-resolution display. The display unit can also display the analysis results using different display formats (for example, 2D display or 3D display). Step 4: The dial operation unit changes the time based on the content displayed on the display unit. For example, the dial operation unit can go back in time by turning the dial to the left. The dial operation unit can go forward in time by turning the dial to the right. The dial operation unit can also change the time unit (e.g., year, month, day).

[0094] 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.

[0095] 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.

[0096] 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.

[0097] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0098] 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0099] 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.

[0100] 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.

[0101] 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.

[0102] 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).

[0103] 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.

[0104] 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.

[0105] 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.

[0106] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0107] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0108] 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.

[0109] 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.

[0110] 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.

[0111] 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.

[0112] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0113] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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).

[0118] 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.

[0119] 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.

[0120] 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.

[0121] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0122] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0128] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0129] 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.

[0130] 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.

[0131] 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.

[0132] 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).

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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.

[0137] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0138] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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).

[0147] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[0148] 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."

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] The hardware resource for executing a specific process can be any of the following processors: A CPU is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A dedicated electrical circuit, such as a field-programmable gate array (FPGA), a programmable logic device (PLD), or an application-specific integrated circuit (ASIC), is a processor with a circuit configuration specifically designed to execute a specific process. Each processor has built-in or connected memory, and uses the memory to execute the specific process.

[0155] 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.

[0156] 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.

[0157] 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.

[0158] 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.

[0159] 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.

[0160] 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]

[0161] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. a photo input unit for receiving a photo from a user; an analysis unit that analyzes the photograph received by the photograph input unit; a display unit that displays the results of the analysis by the analysis unit; a dial operation unit for changing the time based on the content displayed on the display unit; A system characterized by:

2. The photo input unit Accepts not only photos but also videos as input, and generates past and future images for each frame of the video.

2. The system of claim 1.

3. The dial operation unit is In addition to dialing, an interface is provided that allows users to change the time using voice commands and gesture recognition.

2. The system of claim 1.

4. The analysis unit Add text and audio guides to explain historical events and cultural context when viewing past scenes.

2. The system of claim 1.

5. The analysis unit When displaying the future, a more realistic vision is generated based on current technological trends and environmental forecast data.

2. The system of claim 1.

6. The analysis unit Using emotion estimation functionality, the emotions of the user who took the photo are analyzed, and past and future appearances are customized based on those emotions.

2. The system of claim 1.

Images