System

Abstract

An object of the system according to the embodiment is to design and share an ideal wedding that reflects desires and requests of a couple.SOLUTION: A system according to an embodiment includes a wedding scene creation unit, a meeting support unit, a design proposal unit, and a sharing unit. The wedding scene generation unit generates a wedding scene on the basis of the desire or demand of the couple. The meeting support unit analyzes information such as a wedding style desired by the couple, a budget, and a guest list, and proposes an optimal plan. A design proposal part proposes the design of the wedding ceremony reflecting the desire of the couple. The sharing unit generates a scene of the wedding ceremony in real time and shares the scene with the guest.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Conventional technology does not adequately plan weddings that reflect the hopes and desires of couples, and there is room for improvement.

[0005] The system according to the embodiment aims to design and share an ideal wedding that reflects the hopes and desires of the couple. [Means for solving the problem]

[0006] The system according to the embodiment comprises a wedding scene generation unit, a meeting support unit, a design proposal unit, and a sharing unit. The wedding scene generation unit generates wedding scenes based on the couple's wishes and requests. The meeting support unit analyzes information such as the couple's desired wedding style, budget, and guest list, and proposes the optimal plan. The design proposal unit proposes a wedding design that reflects the couple's wishes. The sharing unit generates wedding scenes in real time and shares them with guests. [Effects of the Invention]

[0007] The system according to the embodiment allows couples to design and share their ideal wedding that reflects their hopes and desires. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[0028] (Example 1) The wedding support system according to an embodiment of the present invention is a system that recreates a wedding ceremony in the metaverse as a realistic experience, in which a generation AI generates wedding scenes based on the couple's hopes and requests, effectively holds meetings, proposes an ideal wedding design, and allows couples to share moving moments. As a result, the wedding support system allows couples to design their ideal wedding ceremony and share moving moments.

[0029] A wedding support system according to an embodiment includes a wedding scene generation unit, a meeting support unit, a design proposal unit, and a sharing unit. The wedding scene generation unit generates wedding scenes based on the couple's wishes and requests. For example, the generation AI creates a virtual wedding venue that reflects the couple's selected theme, decorations, music, and other elements. The generation AI also generates wedding scenes based on prompts containing details about the couple's desired wedding. The meeting support unit analyzes information such as the couple's desired wedding style, budget, and guest list, and proposes an optimal plan. For example, the generation AI proposes an optimal plan based on the couple's desired wedding style, budget, guest list, and other elements. The design proposal unit proposes a wedding design that reflects the couple's wishes. For example, the generation AI proposes a virtual wedding venue design based on the couple's desired theme, decorations, music, and other elements. The sharing unit generates wedding scenes in real time and shares them with guests. For example, the generation AI recreates wedding vows, cake-cutting moments, and other elements in the virtual wedding venue and shares them with guests. This allows the wedding support system according to an embodiment to enable couples to design their ideal wedding and share moving moments.

[0030] The wedding scene generation unit can analyze past photos and videos of a couple and generate wedding scenes based on them. For example, the wedding scene generation unit uses AI to analyze past photos and videos provided by the couple and reflect them in the wedding scene. For example, it recreates memorable places and special moments for the couple. The wedding scene generation unit can also analyze past travel photos and event videos of the couple and incorporate their atmosphere and colors into the wedding scene. For example, it can use scenery from a particular travel destination as the background. The wedding scene generation unit can also analyze photos and videos showing the couple's growth process and generate wedding scenes based on them. For example, it can display photos from their childhood to the present in slideshow format. This makes it possible to generate wedding scenes that reflect the couple's memories.

[0031] The wedding scene generation unit can analyze the couple's voices and speaking style and add realistic voices to the virtual characters. For example, the wedding scene generation unit collects the couple's voice data, and AI analyzes the characteristics of that voice to add realistic voices to the virtual characters. For example, it reproduces the vows in the couple's voices. The wedding scene generation unit also analyzes the couple's speaking style and intonation to enable the virtual characters to have natural conversations. For example, it simulates the couple's conversation. The wedding scene generation unit also analyzes the couple's tone and emotions and sets the virtual characters to speak with emotion. For example, it reproduces emotional voices at moving moments. This allows the couple's voices to be reproduced realistically.

[0032] The wedding scene generation unit can virtually recreate the couple's pets and special items. For example, the wedding scene generation unit analyzes photos and videos of the couple's pets to include the pets in the virtual wedding. For example, it recreates a scene in which the pet appears as the ring bearer. The wedding scene generation unit also virtually recreates special items that the couple cherishes (for example, family heirlooms and mementos) and incorporates them into the wedding scene. The wedding scene generation unit also virtually recreates items related to the couple's hobbies and interests and reflects them in the wedding scene. For example, it may display the couple's collection. This allows the couple's pets and special items to be recreated in the wedding scene.

[0033] The wedding scene generation unit can recreate weddings from different cultures and religions, and can accommodate international couples. For example, the wedding scene generation unit analyzes the characteristics of weddings from different cultures and religions and reflects them in the virtual wedding. For example, it recreates traditional ceremonies of a specific culture. The wedding scene generation unit also generates wedding scenes that combine elements of multiple cultures and religions for international couples. For example, it incorporates costumes and decorations from different cultures. The wedding scene generation unit also customizes the virtual wedding scene based on the couple's cultural background. For example, it recreates blessing words and ceremonies of a specific religion. This allows weddings from different cultures and religions to be recreated, and can accommodate international couples.

[0034] The meeting support unit can analyze the couple's past communication history to understand their preferences and tendencies and reflect them in proposals. For example, the meeting support unit analyzes the couple's past emails and messages to understand their preferences and tendencies and reflect them in proposals. For example, it can suggest decorations based on favorite colors or themes. The meeting support unit can also analyze the couple's past social media posts to understand their interests and reflect them in proposals. For example, it can suggest a wedding theme based on travel destinations or hobbies. The meeting support unit can also analyze the couple's past conversation history to extract particularly important elements and reflect them in proposals. For example, it can suggest ideas based on specific events or anniversaries. This allows the couple's preferences and tendencies to be understood and optimal proposals to be made.

[0035] The meeting support unit can automatically adjust the couple's schedule and suggest the optimal meeting time. The meeting support unit, for example, analyzes the couple's calendars and schedules and automatically suggests the optimal meeting time. For example, it finds and suggests a time when both parties are free. The meeting support unit also takes into account the couple's work and personal schedules and suggests a meeting time that is less stressful. For example, it suggests a time after work or on the weekend. The meeting support unit also takes into account the couple's important events and plans and suggests a meeting time that does not affect them. For example, it suggests a time that avoids travel or family events. In this way, the optimal meeting time can be suggested based on the couple's schedule.

[0036] The meeting support unit can use virtual reality to provide a couple with the experience of actually touring a wedding venue. For example, the meeting support unit uses virtual reality technology to provide an experience where a couple can tour a wedding venue from their home. For example, it uses video captured by a 360-degree camera. The meeting support unit also uses virtual reality to realistically recreate the layout and decoration of a wedding venue, providing an experience where the couple can freely tour the venue. For example, it utilizes virtual reality technology to provide an experience where the couple can tour different areas of the wedding venue and obtain detailed information. This allows the couple to have the experience of touring a wedding venue using virtual reality.

[0037] The meeting support unit can simulate different wedding plans to allow couples to compare and consider them. For example, the meeting support unit virtually simulates different wedding plans to allow couples to visually compare them. For example, different themes and decorations can be compared. The meeting support unit also simulates wedding plans to allow couples to select the optimal plan based on their budget and guest list. For example, based on the results of the simulation of different wedding plans, the meeting support unit provides advice to help couples select the optimal plan. This allows couples to compare and consider different wedding plans.

[0038] The design suggestion unit can analyze the hobbies and interests of the couple and suggest themes and decorations based on them. For example, the design suggestion unit can analyze the hobbies and interests of the couple and suggest themes and decorations based on them. For example, it can suggest a wedding themed around the couple's favorite movies or music. The design suggestion unit can also analyze the couple's social media posts and survey results to understand their interests and suggest themes and decorations. For example, it can suggest designs based on travel destinations or hobbies. The design suggestion unit can also analyze photos of the couple's past events and parties and suggest themes and decorations based on them. For example, it can recreate the atmosphere of a particular event. This makes it possible to suggest themes and decorations based on the couple's hobbies and interests.

[0039] The design proposal unit can collect opinions from the couple's family and friends and generate a design that reflects them. The design proposal unit, for example, collects opinions from the couple's family and friends and generates a wedding design that reflects them. For example, opinions are collected through questionnaires or interviews. The design proposal unit also adjusts the theme and decorations desired by the couple based on the opinions of family and friends and proposes a design that satisfies everyone. The design proposal unit also collects opinions from the couple's family and friends in real time and generates a design that reflects them. For example, opinions are collected online and immediately reflected in the design. This makes it possible to generate a design that reflects the opinions of the couple's family and friends.

[0040] The design proposal unit can propose designs according to the season and weather, providing a realistic experience. The design proposal unit, for example, proposes designs according to the season and weather, providing a realistic experience. For example, in spring, it proposes decorations with a cherry blossom theme. The design proposal unit also realistically recreates wedding scenes based on weather data. For example, it proposes indoor decorations on rainy days and outdoor decorations on sunny days. The design proposal unit also proposes designs that incorporate special seasonal events and scenes. For example, in summer it proposes decorations with a fireworks or beach theme. In this way, it is possible to propose designs according to the season and weather, providing a realistic experience.

[0041] The design suggestion unit can simulate different wedding venue designs to allow couples to make a selection. For example, the design suggestion unit virtually simulates different wedding venue designs to allow couples to visually compare them. For example, it compares different themes and decorations. The design suggestion unit also simulates wedding venues to allow couples to select the optimal design based on their budget and guest list. For example, it provides advice to help couples select the optimal design based on the simulation results of different wedding venues. This allows couples to select different wedding venue designs.

[0042] The sharing unit can analyze touching moments from the couple's past and generate scenes that recreate them. For example, the sharing unit analyzes photos or videos that capture touching moments from the couple's past and generates scenes that recreate them. For example, it recreates the moment of a proposal. The sharing unit also generates a virtual wedding scene based on a touching episode from the couple. For example, it recreates a first date or a special anniversary. The sharing unit also generates a scene with special effects added based on the couple's touching moments. For example, it recreates the scene using moving music or lighting. In this way, it is possible to generate a scene that recreates a touching moment from the couple's past.

[0043] The shared area can recreate wedding scenes from different perspectives, allowing guests to freely switch between viewpoints. For example, the shared area can film wedding scenes from multiple camera angles, allowing guests to freely switch between viewpoints. For example, they can enjoy the vows or the cake-cutting moment from different perspectives. The shared area can also use virtual reality technology to provide guests with the experience of viewing the wedding ceremony from their preferred viewpoint. For example, guests can select the viewpoint from their seat. The shared area can also recreate wedding scenes in 3D, allowing guests to freely change their viewpoint. For example, guests can view the wedding ceremony while walking around in a virtual space. This makes it possible to provide a wedding scene where guests can freely switch between viewpoints.

[0044] The sharing unit can record wedding scenes so that the couple and guests can re-experience them later. For example, the sharing unit can record wedding scenes in high resolution so that the couple and guests can re-experience them later. For example, the special moments can be enjoyed as many times as desired. The sharing unit can also edit the recorded wedding scenes to create a video that emphasizes highlights and special moments. For example, it can provide a digest video that collects moving moments. The sharing unit can also store the recorded wedding scenes in the cloud so that the couple and guests can access them at any time. For example, it can share the video online. This allows the wedding scenes to be recorded so that the wedding can be re-experienced later.

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

[0046] The wedding support system can further include a health management unit that analyzes the couple's health data and proposes the optimal wedding schedule. For example, it can analyze the couple's sleep data and stress levels to propose the optimal wedding date and time. The health management unit can also propose a pre-wedding health management plan based on the couple's diet and exercise data. For example, it can provide a pre-wedding diet and exercise plan. The health management unit can also monitor the couple's health status in real time and support physical condition management on the day of the wedding. For example, it can suggest relaxation methods to reduce stress on the day of the wedding. This makes it possible to propose the optimal wedding schedule taking the couple's health status into consideration.

[0047] The wedding support system can further include an activity suggestion unit that suggests special activities based on the hobbies and interests of the couple. For example, it suggests activities that can be enjoyed before or after the wedding based on the couple's favorite sports or outdoor activities. The activity suggestion unit can also suggest workshops or events related to the couple's hobbies. For example, it can suggest cooking classes or art classes that the couple likes. The activity suggestion unit can also suggest travel plans based on the couple's interests. For example, it can suggest honeymoon plans based on places the couple wants to go and activities they want to experience. This makes it possible to suggest special activities based on the couple's hobbies and interests.

[0048] The wedding support system may further include an opinion collection unit that collects opinions from the couple's family and friends and proposes wedding plans that reflect those opinions. For example, opinions may be collected from family and friends through questionnaires or interviews, and wedding themes and decorations may be proposed based on those opinions. The opinion collection unit may also collect opinions from family and friends in real time and reflect them in wedding plans. For example, opinions may be collected online and reflected immediately in the plans. The opinion collection unit may also adjust the theme and decorations desired by the couple based on the opinions of family and friends, and propose a wedding that will satisfy everyone. In this way, wedding plans that reflect the opinions of the couple's family and friends may be proposed.

[0049] The wedding support system may further include a travel theme suggestion unit that analyzes the couple's past travel data and suggests wedding themes and decorations based on that data. For example, it may analyze photos and videos of travel destinations visited by the couple and incorporate the atmosphere and colors of those destinations into the wedding scene. The travel theme suggestion unit may also suggest special decorations and staging based on the couple's travel destinations. For example, scenery from a specific travel destination may be used as a background. The travel theme suggestion unit may also incorporate activities and events related to the couple's travel destinations into the wedding scene. For example, it may recreate special experiences at the travel destination. This makes it possible to suggest wedding themes and decorations that reflect the couple's past travel data.

[0050] The wedding support system may further include an event theme suggestion unit that analyzes past event data of the couple and suggests wedding themes and decorations based on the data. For example, it may analyze photos and videos of past events attended by the couple and incorporate the atmosphere and colors of those events into the wedding scene. The event theme suggestion unit may also suggest special decorations and performances based on the couple's past events. For example, it may incorporate a theme from a specific event into the wedding. The event theme suggestion unit may also incorporate activities or performances related to the couple's past events into the wedding scene. For example, it may recreate a special experience at the event. This makes it possible to suggest wedding themes and decorations that reflect the couple's past event data.

[0051] The wedding support system can further include a communication theme suggestion unit that analyzes the couple's past communication data and suggests wedding themes and decorations based on that data. For example, it can analyze the couple's past emails and messages and incorporate their contents into the wedding scene. The communication theme suggestion unit can also suggest special decorations and performances based on the couple's past conversation history. For example, it can incorporate a specific conversation theme into the wedding scene. The communication theme suggestion unit can also incorporate activities and performances related to the couple's past communication into the wedding scene. For example, it can reproduce the content of a specific conversation. This makes it possible to suggest wedding themes and decorations that reflect the couple's past communication data.

[0052] The processing flow of the first embodiment will be briefly explained below.

[0053] Step 1: The wedding scene generator generates a wedding scene based on the couple's wishes and requests. For example, the generator AI creates a virtual wedding venue that reflects the couple's chosen theme, decorations, music, etc. The generator AI also generates a wedding scene based on prompts containing the couple's desired wedding details. Step 2: The consultation support department analyzes information such as the couple's desired wedding style, budget, and guest list, and proposes the optimal plan. For example, the generation AI proposes the optimal plan based on information such as the couple's desired wedding style, budget, and guest list. Step 3: The design proposal department proposes a wedding design that reflects the couple's wishes. For example, the generative AI proposes a virtual wedding venue design based on the couple's desired theme, decorations, music, etc. Step 4: The sharing section generates wedding scenes in real time and shares them with guests. For example, the generation AI recreates wedding vows and cake-cutting moments in a virtual wedding venue and shares them with guests.

[0054] (Example 2) The wedding support system according to an embodiment of the present invention is a system that recreates a wedding ceremony in the metaverse as a realistic experience, in which a generation AI generates wedding scenes based on the couple's hopes and requests, effectively holds meetings, proposes an ideal wedding design, and allows couples to share moving moments. As a result, the wedding support system allows couples to design their ideal wedding ceremony and share moving moments.

[0055] A wedding support system according to an embodiment includes a wedding scene generation unit, a meeting support unit, a design proposal unit, and a sharing unit. The wedding scene generation unit generates wedding scenes based on the couple's wishes and requests. For example, the generation AI creates a virtual wedding venue that reflects the couple's selected theme, decorations, music, and other elements. The generation AI also generates wedding scenes based on prompts containing details about the couple's desired wedding. The meeting support unit analyzes information such as the couple's desired wedding style, budget, and guest list, and proposes an optimal plan. For example, the generation AI proposes an optimal plan based on the couple's desired wedding style, budget, guest list, and other elements. The design proposal unit proposes a wedding design that reflects the couple's wishes. For example, the generation AI proposes a virtual wedding venue design based on the couple's desired theme, decorations, music, and other elements. The sharing unit generates wedding scenes in real time and shares them with guests. For example, the generation AI recreates wedding vows, cake-cutting moments, and other elements in the virtual wedding venue and shares them with guests. This allows the wedding support system according to an embodiment to enable couples to design their ideal wedding and share moving moments.

[0056] The wedding scene generation unit can analyze past photos and videos of a couple and generate wedding scenes based on them. For example, the wedding scene generation unit uses AI to analyze past photos and videos provided by the couple and reflect them in the wedding scene. For example, it recreates memorable places and special moments for the couple. The wedding scene generation unit can also analyze past travel photos and event videos of the couple and incorporate their atmosphere and colors into the wedding scene. For example, it can use scenery from a particular travel destination as the background. The wedding scene generation unit can also analyze photos and videos showing the couple's growth process and generate wedding scenes based on them. For example, it can display photos from their childhood to the present in slideshow format. This makes it possible to generate wedding scenes that reflect the couple's memories.

[0057] The wedding scene generation unit can analyze the couple's voices and speaking style and add realistic voices to the virtual characters. For example, the wedding scene generation unit collects the couple's voice data, and AI analyzes the characteristics of that voice to add realistic voices to the virtual characters. For example, it reproduces the vows in the couple's voices. The wedding scene generation unit also analyzes the couple's speaking style and intonation to enable the virtual characters to have natural conversations. For example, it simulates the couple's conversation. The wedding scene generation unit also analyzes the couple's tone and emotions and sets the virtual characters to speak with emotion. For example, it reproduces emotional voices at moving moments. This allows the couple's voices to be reproduced realistically.

[0058] The wedding scene generation unit uses the emotion estimation function to generate scenes that reflect the couple's emotions and emphasize moving moments. The wedding scene generation unit, for example, analyzes the couple's emotion data in real time and generates scenes that reflect those emotions. For example, effects are added to moving moments. The wedding scene generation unit also adjusts the colors and music of the scene based on the couple's emotion estimation data to create a moving atmosphere. For example, the music is increased at moments when emotions are at their peak. The wedding scene generation unit also uses the emotion estimation function to change the scene in real time according to the couple's emotions. For example, fireworks and lighting effects are added to moving moments. This makes it possible to generate moving scenes that reflect the couple's emotions.

[0059] The wedding scene generation unit can virtually recreate the couple's pets and special items. For example, the wedding scene generation unit analyzes photos and videos of the couple's pets to include the pets in the virtual wedding. For example, it recreates a scene in which the pet appears as the ring bearer. The wedding scene generation unit also virtually recreates special items that the couple cherishes (for example, family heirlooms and mementos) and incorporates them into the wedding scene. The wedding scene generation unit also virtually recreates items related to the couple's hobbies and interests and reflects them in the wedding scene. For example, it may display the couple's collection. This allows the couple's pets and special items to be recreated in the wedding scene.

[0060] The wedding scene generation unit can recreate weddings from different cultures and religions, and can accommodate international couples. For example, the wedding scene generation unit analyzes the characteristics of weddings from different cultures and religions and reflects them in the virtual wedding. For example, it recreates traditional ceremonies of a specific culture. The wedding scene generation unit also generates wedding scenes that combine elements of multiple cultures and religions for international couples. For example, it incorporates costumes and decorations from different cultures. The wedding scene generation unit also customizes the virtual wedding scene based on the couple's cultural background. For example, it recreates blessing words and ceremonies of a specific religion. This allows weddings from different cultures and religions to be recreated, and can accommodate international couples.

[0061] The wedding scene generation unit can use the emotion estimation function to reflect the emotions of guests in real time and provide an interactive experience. For example, the wedding scene generation unit analyzes the emotion data of guests in real time and generates a scene that reflects those emotions. For example, special effects are added at the moment when a guest is moved. The wedding scene generation unit also uses the emotion estimation function to provide an interactive experience according to the emotions of guests. For example, virtual fireworks are launched at the moment when a guest is happy. The wedding scene generation unit also adjusts the wedding scene in real time based on the emotion data of guests to provide an experience that everyone can enjoy. For example, music or lighting is changed at the moment when emotions are heightened. This allows the emotions of guests to be reflected in real time and provides an interactive experience.

[0062] The meeting support unit can analyze the couple's past communication history to understand their preferences and tendencies and reflect them in proposals. For example, the meeting support unit analyzes the couple's past emails and messages to understand their preferences and tendencies and reflect them in proposals. For example, it can suggest decorations based on favorite colors or themes. The meeting support unit can also analyze the couple's past social media posts to understand their interests and reflect them in proposals. For example, it can suggest a wedding theme based on travel destinations or hobbies. The meeting support unit can also analyze the couple's past conversation history to extract particularly important elements and reflect them in proposals. For example, it can suggest ideas based on specific events or anniversaries. This allows the couple's preferences and tendencies to be understood and optimal proposals to be made.

[0063] The meeting support unit can automatically adjust the couple's schedule and suggest the optimal meeting time. The meeting support unit, for example, analyzes the couple's calendars and schedules and automatically suggests the optimal meeting time. For example, it finds and suggests a time when both parties are free. The meeting support unit also takes into account the couple's work and personal schedules and suggests a meeting time that is less stressful. For example, it suggests a time after work or on the weekend. The meeting support unit also takes into account the couple's important events and plans and suggests a meeting time that does not affect them. For example, it suggests a time that avoids travel or family events. In this way, the optimal meeting time can be suggested based on the couple's schedule.

[0064] The meeting support unit can use the emotion estimation function to analyze the couple's stress level and make suggestions to help them relax. The meeting support unit, for example, analyzes the couple's emotion data in real time, grasps the stress level, and makes suggestions to help them relax. For example, it can suggest relaxing music or aromas. The meeting support unit also uses the emotion estimation function to adjust the progress of the meeting according to the couple's stress level. For example, if stress is high, it can suggest relaxing topics. The meeting support unit also suggests specific actions to reduce stress based on the couple's emotion data. For example, it can suggest holding the meeting in a relaxing environment. This makes it possible to analyze the couple's stress level and make suggestions to help them relax.

[0065] The meeting support unit can use virtual reality to provide a couple with the experience of actually touring a wedding venue. For example, the meeting support unit uses virtual reality technology to provide an experience where a couple can tour a wedding venue from their home. For example, it uses video captured by a 360-degree camera. The meeting support unit also uses virtual reality to realistically recreate the layout and decoration of a wedding venue, providing an experience where the couple can freely tour the venue. For example, it utilizes virtual reality technology to provide an experience where the couple can tour different areas of the wedding venue and obtain detailed information. This allows the couple to have the experience of touring a wedding venue using virtual reality.

[0066] The meeting support unit can simulate different wedding plans to allow couples to compare and consider them. For example, the meeting support unit virtually simulates different wedding plans to allow couples to visually compare them. For example, different themes and decorations can be compared. The meeting support unit also simulates wedding plans to allow couples to select the optimal plan based on their budget and guest list. For example, based on the results of the simulation of different wedding plans, the meeting support unit provides advice to help couples select the optimal plan. This allows couples to compare and consider different wedding plans.

[0067] The meeting support unit can use the emotion estimation function to provide feedback on the couple's emotional reactions to the planner's proposal in real time, thereby optimizing the proposal. The meeting support unit, for example, uses the emotion estimation function to analyze the couple's emotional reactions to the planner's proposal in real time, thereby optimizing the proposal. For example, it prioritizes proposals that receive a lot of positive reactions. The meeting support unit also adjusts the planner's proposal content in real time based on the couple's emotional data, thereby making an optimal proposal. For example, it makes a special proposal at the moment when emotions are heightened. The meeting support unit also uses the emotion estimation function to provide feedback on the couple's emotional reactions, and provides specific advice for the planner to improve the proposal content. In this way, the couple's emotional reactions can be fed back in real time, thereby optimizing the proposal.

[0068] The design suggestion unit can analyze the hobbies and interests of the couple and suggest themes and decorations based on them. For example, the design suggestion unit can analyze the hobbies and interests of the couple and suggest themes and decorations based on them. For example, it can suggest a wedding themed around the couple's favorite movies or music. The design suggestion unit can also analyze the couple's social media posts and survey results to understand their interests and suggest themes and decorations. For example, it can suggest designs based on travel destinations or hobbies. The design suggestion unit can also analyze photos of the couple's past events and parties and suggest themes and decorations based on them. For example, it can recreate the atmosphere of a particular event. This makes it possible to suggest themes and decorations based on the couple's hobbies and interests.

[0069] The design proposal unit can collect opinions from the couple's family and friends and generate a design that reflects them. The design proposal unit, for example, collects opinions from the couple's family and friends and generates a wedding design that reflects them. For example, opinions are collected through questionnaires or interviews. The design proposal unit also adjusts the theme and decorations desired by the couple based on the opinions of family and friends and proposes a design that satisfies everyone. The design proposal unit also collects opinions from the couple's family and friends in real time and generates a design that reflects them. For example, opinions are collected online and immediately reflected in the design. This makes it possible to generate a design that reflects the opinions of the couple's family and friends.

[0070] The design proposal unit uses the emotion estimation function to propose a design that reflects the couple's emotions, thereby creating a touching moment. For example, the design proposal unit uses the emotion estimation function to analyze the couple's emotional data and propose a design that reflects it. For example, it adds special decorations and effects to emotional moments. The design proposal unit also adjusts the color and lighting of the design based on the couple's emotional data to create an emotional atmosphere. For example, it changes the lighting at moments when emotions are heightened. The design proposal unit also uses the emotion estimation function to change the design in real time according to the couple's emotions. For example, it adds fireworks and light effects to emotional moments. In this way, it is possible to propose a design that reflects the couple's emotions and create a touching moment.

[0071] The design proposal unit can propose designs according to the season and weather, providing a realistic experience. The design proposal unit, for example, proposes designs according to the season and weather, providing a realistic experience. For example, in spring, it proposes decorations with a cherry blossom theme. The design proposal unit also realistically recreates wedding scenes based on weather data. For example, it proposes indoor decorations on rainy days and outdoor decorations on sunny days. The design proposal unit also proposes designs that incorporate special seasonal events and scenes. For example, in summer it proposes decorations with a fireworks or beach theme. In this way, it is possible to propose designs according to the season and weather, providing a realistic experience.

[0072] The design suggestion unit can simulate different wedding venue designs to allow couples to make a selection. For example, the design suggestion unit virtually simulates different wedding venue designs to allow couples to visually compare them. For example, it compares different themes and decorations. The design suggestion unit also simulates wedding venues to allow couples to select the optimal design based on their budget and guest list. For example, it provides advice to help couples select the optimal design based on the simulation results of different wedding venues. This allows couples to select different wedding venue designs.

[0073] The design proposal unit uses the emotion estimation function to propose designs that reflect the emotions of the guests, making it possible to realize a wedding that everyone can enjoy. For example, the design proposal unit uses the emotion estimation function to analyze the emotional data of the guests and propose designs that reflect that. For example, special decorations and effects are added at emotional moments. The design proposal unit also adjusts the color and lighting of the design based on the emotional data of the guests to create an emotional atmosphere. For example, lighting is changed at moments when emotions are heightened. The design proposal unit also uses the emotion estimation function to change the design in real time according to the emotions of the guests. For example, fireworks and light effects are added at emotional moments. In this way, it is possible to propose designs that reflect the emotions of the guests and realize a wedding that everyone can enjoy.

[0074] The sharing unit can analyze touching moments from the couple's past and generate scenes that recreate them. For example, the sharing unit analyzes photos or videos that capture touching moments from the couple's past and generates scenes that recreate them. For example, it recreates the moment of a proposal. The sharing unit also generates a virtual wedding scene based on a touching episode from the couple. For example, it recreates a first date or a special anniversary. The sharing unit also generates a scene with special effects added based on the couple's touching moments. For example, it recreates the scene using moving music or lighting. In this way, it is possible to generate a scene that recreates a touching moment from the couple's past.

[0075] The sharing unit can analyze the real-time reactions of the guests and adjust the scene based on that. For example, the sharing unit can analyze the real-time reactions of the guests and adjust the scene based on that. For example, it can add special effects at moments when the guests are moved. The sharing unit can also adjust the colors and music of the scene based on the guests' emotional data to create an emotional atmosphere. For example, it can increase the music at moments when emotions are at their peak. The sharing unit can also change the scene in real time based on the guests' real-time reactions. For example, it can add fireworks or light effects at emotional moments. This allows the scene to be adjusted based on the guests' real-time reactions.

[0076] The sharing unit can use the emotion estimation function to generate a scene that synchronizes the emotions of the couple and guests. For example, the sharing unit uses the emotion estimation function to analyze the emotions of the couple and guests in real time and generate a scene that synchronizes them. For example, everyone shares the same emotion at an emotional moment. The sharing unit also adjusts the colors and music of the scene based on the emotional data of the couple and guests to synchronize emotions. For example, the music is increased at moments when emotions are heightened. The sharing unit also uses the emotion estimation function to change the scene in real time according to the emotions of the couple and guests. For example, fireworks and light effects are added at emotional moments. This makes it possible to generate a scene that synchronizes the emotions of the couple and guests.

[0077] The shared area can recreate wedding scenes from different perspectives, allowing guests to freely switch between viewpoints. For example, the shared area can film wedding scenes from multiple camera angles, allowing guests to freely switch between viewpoints. For example, they can enjoy the vows or the cake-cutting moment from different perspectives. The shared area can also use virtual reality technology to provide guests with the experience of viewing the wedding ceremony from their preferred viewpoint. For example, guests can select the viewpoint from their seat. The shared area can also recreate wedding scenes in 3D, allowing guests to freely change their viewpoint. For example, guests can view the wedding ceremony while walking around in a virtual space. This makes it possible to provide a wedding scene where guests can freely switch between viewpoints.

[0078] The sharing unit can record wedding scenes so that the couple and guests can re-experience them later. For example, the sharing unit can record wedding scenes in high resolution so that the couple and guests can re-experience them later. For example, the special moments can be enjoyed as many times as desired. The sharing unit can also edit the recorded wedding scenes to create a video that emphasizes highlights and special moments. For example, it can provide a digest video that collects moving moments. The sharing unit can also store the recorded wedding scenes in the cloud so that the couple and guests can access them at any time. For example, it can share the video online. This allows the wedding scenes to be recorded so that the wedding can be re-experienced later.

[0079] The shared area can use the emotion estimation function to reflect the emotions of guests in real time and provide an interactive experience. For example, the shared area can analyze the emotional data of guests in real time and generate scenes that reflect those emotions. For example, it can add special effects at the moment when a guest is moved. The shared area can also use the emotion estimation function to provide an interactive experience based on the emotions of guests. For example, it can launch virtual fireworks at the moment when a guest is happy. The shared area can also adjust the wedding scene in real time based on the emotional data of guests to provide an experience that everyone can enjoy. For example, it can change the music or lighting at the moment when emotions are heightened. This allows the shared area to reflect the emotions of guests in real time and provide an interactive experience.

[0080] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0081] The wedding support system can further include a health management unit that analyzes the couple's health data and proposes the optimal wedding schedule. For example, it can analyze the couple's sleep data and stress levels to propose the optimal wedding date and time. The health management unit can also propose a pre-wedding health management plan based on the couple's diet and exercise data. For example, it can provide a pre-wedding diet and exercise plan. The health management unit can also monitor the couple's health status in real time and support physical condition management on the day of the wedding. For example, it can suggest relaxation methods to reduce stress on the day of the wedding. This makes it possible to propose the optimal wedding schedule taking the couple's health status into consideration.

[0082] The wedding support system can further include an activity suggestion unit that suggests special activities based on the hobbies and interests of the couple. For example, it suggests activities that can be enjoyed before or after the wedding based on the couple's favorite sports or outdoor activities. The activity suggestion unit can also suggest workshops or events related to the couple's hobbies. For example, it can suggest cooking classes or art classes that the couple likes. The activity suggestion unit can also suggest travel plans based on the couple's interests. For example, it can suggest honeymoon plans based on places the couple wants to go and activities they want to experience. This makes it possible to suggest special activities based on the couple's hobbies and interests.

[0083] The wedding support system may further include an opinion collection unit that collects opinions from the couple's family and friends and proposes wedding plans that reflect those opinions. For example, opinions may be collected from family and friends through questionnaires or interviews, and wedding themes and decorations may be proposed based on those opinions. The opinion collection unit may also collect opinions from family and friends in real time and reflect them in wedding plans. For example, opinions may be collected online and reflected immediately in the plans. The opinion collection unit may also adjust the theme and decorations desired by the couple based on the opinions of family and friends, and propose a wedding that will satisfy everyone. In this way, wedding plans that reflect the opinions of the couple's family and friends may be proposed.

[0084] The wedding support system may further include an emotion adjustment unit that estimates the emotions of the couple and adjusts the wedding scene in real time based on those emotions. For example, the emotional data of the couple may be analyzed in real time and special effects may be added to emotional moments. The emotion adjustment unit may also adjust the colors and music of the scene according to the couple's emotions to create an emotional atmosphere. For example, the music may be increased at moments when emotions are at their peak. The emotion adjustment unit may also change the scene in real time according to the couple's emotions to ensure a wedding that everyone can enjoy. For example, fireworks and lighting effects may be added at emotional moments. This allows for the emotional wedding scene to be adjusted in real time to reflect the couple's emotions.

[0085] The wedding support system may further include a travel theme suggestion unit that analyzes the couple's past travel data and suggests wedding themes and decorations based on that data. For example, it may analyze photos and videos of travel destinations visited by the couple and incorporate the atmosphere and colors of those destinations into the wedding scene. The travel theme suggestion unit may also suggest special decorations and staging based on the couple's travel destinations. For example, scenery from a specific travel destination may be used as a background. The travel theme suggestion unit may also incorporate activities and events related to the couple's travel destinations into the wedding scene. For example, it may recreate special experiences at the travel destination. This makes it possible to suggest wedding themes and decorations that reflect the couple's past travel data.

[0086] The wedding support system may further include an emotion progression adjustment unit that estimates the emotions of the couple and adjusts the wedding proceedings based on those emotions. For example, the emotional data of the couple may be analyzed in real time, and the wedding proceedings may be paused at emotional moments to add special effects. The emotion progression adjustment unit may also adjust the proceedings according to the emotions of the couple to ensure a wedding that everyone can enjoy. For example, the proceedings may be slowed down at emotionally charged moments to add emotional effects. The emotion progression adjustment unit may also change the proceedings according to the emotions of the couple in real time to provide an optimal wedding proceeding. For example, special music or lighting may be added at emotional moments. In this way, the optimal wedding proceedings that reflect the emotions of the couple may be adjusted in real time.

[0087] The wedding support system may further include an event theme suggestion unit that analyzes past event data of the couple and suggests wedding themes and decorations based on the data. For example, it may analyze photos and videos of past events attended by the couple and incorporate the atmosphere and colors of those events into the wedding scene. The event theme suggestion unit may also suggest special decorations and performances based on the couple's past events. For example, it may incorporate a theme from a specific event into the wedding. The event theme suggestion unit may also incorporate activities or performances related to the couple's past events into the wedding scene. For example, it may recreate a special experience at the event. This makes it possible to suggest wedding themes and decorations that reflect the couple's past event data.

[0088] The wedding support system can further include an emotional design adjustment unit that estimates the emotions of the couple and adjusts the wedding design in real time based on those emotions. For example, the emotional data of the couple can be analyzed in real time and special decorations and effects can be added at emotional moments. The emotional design adjustment unit can also adjust the design according to the couple's emotions to create a wedding that everyone can enjoy. For example, the design can be changed to add emotional effects at moments when emotions are at their peak. The emotional design adjustment unit can also change the design in real time according to the couple's emotions to provide an optimal wedding design. For example, special music or lighting can be added at emotional moments. This makes it possible to adjust the optimal wedding design in real time to reflect the couple's emotions.

[0089] The wedding support system can further include a communication theme suggestion unit that analyzes the couple's past communication data and suggests wedding themes and decorations based on that data. For example, it can analyze the couple's past emails and messages and incorporate their contents into the wedding scene. The communication theme suggestion unit can also suggest special decorations and performances based on the couple's past conversation history. For example, it can incorporate a specific conversation theme into the wedding scene. The communication theme suggestion unit can also incorporate activities and performances related to the couple's past communication into the wedding scene. For example, it can reproduce the content of a specific conversation. This makes it possible to suggest wedding themes and decorations that reflect the couple's past communication data.

[0090] The wedding support system may further include an emotion progression adjustment unit that estimates the emotions of the couple and adjusts the wedding proceedings in real time based on those emotions. For example, the emotional data of the couple may be analyzed in real time, and the wedding proceedings may be paused at emotional moments to add special effects. The emotion progression adjustment unit may also adjust the proceedings in accordance with the emotions of the couple to ensure a wedding that everyone can enjoy. For example, the proceedings may be slowed down at emotionally charged moments to add emotional effects. The emotion progression adjustment unit may also change the proceedings in real time in accordance with the emotions of the couple to provide an optimal wedding proceeding. For example, special music or lighting may be added at emotional moments. In this way, the optimal wedding proceedings that reflect the emotions of the couple may be adjusted in real time.

[0091] The processing flow of the second embodiment will be briefly explained below.

[0092] Step 1: The wedding scene generator generates a wedding scene based on the couple's wishes and requests. For example, the generator AI creates a virtual wedding venue that reflects the couple's chosen theme, decorations, music, etc. The generator AI also generates a wedding scene based on prompts containing the couple's desired wedding details. Step 2: The consultation support department analyzes information such as the couple's desired wedding style, budget, and guest list, and proposes the optimal plan. For example, the generation AI proposes the optimal plan based on information such as the couple's desired wedding style, budget, and guest list. Step 3: The design proposal department proposes a wedding design that reflects the couple's wishes. For example, the generative AI proposes a virtual wedding venue design based on the couple's desired theme, decorations, music, etc. Step 4: The sharing section generates wedding scenes in real time and shares them with guests. For example, the generation AI recreates wedding vows and cake-cutting moments in a virtual wedding venue and shares them with guests.

[0093] 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.

[0094] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0095] 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.

[0096] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0097] 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.

[0098] 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.

[0099] 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.

[0100] 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.

[0101] 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).

[0102] 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.

[0103] 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.

[0104] 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.

[0105] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0106] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0107] 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.

[0108] 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.

[0109] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AI other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0110] 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.

[0111] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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).

[0117] 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.

[0118] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0119] 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.

[0120] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0121] In the headset type terminal 314, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0122] 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.

[0123] 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.

[0124] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AI other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0125] 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.

[0126] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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).

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0137] In the robot 414, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0138] 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.

[0139] 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.

[0140] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AI other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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).

[0146] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0147] 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."

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0154] 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.

[0155] 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.

[0156] 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.

[0157] 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.

[0158] 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, in order to avoid confusion and to 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.

[0159] 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]

[0160] 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 wedding scene generation unit that generates a wedding scene based on the wishes and requests of the couple; The meeting support department analyzes information such as the couple's desired wedding style, budget, and guest list, and proposes the best plan. The design proposal department proposes wedding designs that reflect the couple's wishes, A shared area where wedding scenes are generated in real time and shared with guests. A system characterized by:

2. The wedding scene generation unit Analyzing past photos and videos of the couple and generating wedding scenes based on them 2. The system of claim 1.

3. The wedding scene generation unit The voices and speaking styles of the couple are analyzed to give the virtual characters realistic voices.

2. The system of claim 1.

4. The wedding scene generation unit The scene is generated to reflect the emotions of the couple and to highlight touching moments.

2. The system of claim 1.

5. The wedding scene generation unit Virtually recreate the couple's pets and special items 2. The system of claim 1.

6. The wedding scene generation unit Recreate weddings from different cultures and religions, and cater to international couples.

2. The system of claim 1.

7. The wedding scene generation unit Reflecting the guest's emotions in real time and providing an interactive experience 2. The system of claim 1.

8. The meeting support unit Analyzing the couple's past communication history, understanding their preferences and tendencies, and reflecting this in the proposal 2. The system of claim 1.

Images