System

Abstract

A system is provided.SOLUTION: A system comprising: means for obtaining three-dimensional model data from a virtual reality device; means for using generative artificial intelligence to convert the three-dimensional model data into another format; and means for transmitting the converted three-dimensional model data to a three-dimensional printing device.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] With current technology, the process of physically outputting 3D model data obtained in the virtual reality world into the real world is complicated, requiring specialized knowledge and manual conversion work, making it difficult for users to instantly materialize objects they find in the virtual reality space in the real world. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems by providing a system that includes a means for acquiring 3D model data from a virtual reality device, a means for using generative artificial intelligence to automatically convert the acquired 3D model data into an appropriate file format, and a means for transmitting the converted data to a 3D printing device, allowing a user to quickly and automatically output 3D model data selected in a virtual reality space as a physical object in the real world.

[0006] A "virtual reality device" is a device that allows a user to visually and tactilely experience a virtual three-dimensional space.

[0007] "Three-dimensional model data" is digital data that includes the shape, structure, and other related information of an object in three-dimensional space.

[0008] "Generative AI" is AI that has the ability to generate, convert, or analyze new data based on given input data.

[0009] A "3D printing device" is a device that uses digital 3D model data to create physical 3D objects.

[0010] A "file format" is a form or standard in which different types of digital data are stored.

[0011] A "means for converting" is a method or device for accurately converting data of one format into data of another format.

[0012] "Analysis" refers to the process of understanding the content and structure of received data and extracting necessary information or performing appropriate processing.

[0013] A "physical object" is an object that physically exists in the real world and is created using a three-dimensional printing device based on digital data. [Brief explanation of the drawings]

[0014] [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. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0015] 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.

[0016] First, the terms used in the following description will be explained.

[0017] 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, a 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), and an APU (Accelerated Processing Unit).

[0018] 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.

[0019] 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.

[0020] 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), Bluetooth (registered trademark), etc.

[0021] 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."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 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.

[0025] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0026] 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.

[0027] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. 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 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The 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.

[0029] 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.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0034] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0035] System configuration

[0036] The system of the present invention comprises a virtual reality device, a terminal, a server, and a 3D printing device. The virtual reality device allows a user to manipulate and select a 3D object in a virtual space, and the selected 3D model data is sent to the server via the terminal. The server receives this data and converts it into an appropriate file format using generative artificial intelligence. The converted data is then sent to the 3D printing device, where a physical object is generated.

[0037] Program processing

[0038] 1. Data acquisition from virtual reality devices

[0039] User

[0040] The user selects a 3D object they see in the virtual space using the virtual reality device, and the object data (e.g., flower_vase.fbx) is transmitted from the virtual reality device to the terminal.

[0041] Terminal

[0042] The device temporarily stores the 3D model data received from the virtual reality device. The device then connects to the server via the Internet and sends the stored data to the server. This process uses an HTTP POST request.

[0043] 2. Conversion of 3D model data

[0044] server

[0045] The server receives the 3D model data (e.g., flower_vase.fbx) sent from the terminal and saves the data to disk.

[0046] server

[0047] The server provides the stored data as input to the AI ​​generator, which then analyzes the data and automatically converts it into the appropriate file format (e.g., flower_vase.stl). This conversion process is completed within a few seconds to a few minutes.

[0048] 3. Sending the converted data

[0049] server

[0050] The server connects to the API endpoint of the 3D printing device to send the converted file to the 3D printing device. After connecting to the endpoint, it sends the conversion data via an HTTP POST request.

[0051] 4. Creating Physical Objects

[0052] three dimensional printing equipment

[0053] The 3D printing device receives the .stl file sent from the server and registers it as a print job. The printer's control software parses the data and prepares it for printing.

[0054] three dimensional printing equipment

[0055] When a print job is initiated, nozzles within the device begin using material to build a physical object, and once the printing process is complete, the 3D printing device sends a print completion notification to the server.

[0056] User

[0057] Upon receiving a notification from the server, the user can retrieve the generated physical object from the three-dimensional printing device.

[0058] Specific examples

[0059] For example, User A finds a vase (flower_vase) in a shop in the virtual reality space and selects it. This information is transmitted to the device, which then sends flower_vase.fbx to the server. The server then uses generative AI to convert flower_vase.fbx to flower_vase.stl. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, User A can obtain a physical vase from the 3D printer.

[0060] This system allows users to easily materialize objects they find in virtual reality into the real world.

[0061] The processing flow will be explained below.

[0062] Step 1:

[0063] User

[0064] The user uses the virtual reality device to explore the virtual space and find the 3D object they want. By selecting this object, the 3D model data of that object (e.g., flower_vase.fbx) is saved in the virtual reality device.

[0065] Step 2:

[0066] Terminal

[0067] The device acquires the 3D model data from the virtual reality device and temporarily stores it. The acquired data is stored in the device's storage in a file format (e.g., .fbx).

[0068] Step 3:

[0069] Terminal

[0070] The device transmits the stored 3D model data to the server via the Internet using an HTTP POST request, and the data is sent to the server in the appropriate encoding format.

[0071] Step 4:

[0072] server

[0073] The server receives the HTTP request and retrieves the transferred data (e.g., flower_vase.fbx). The received data is saved in a specific directory on the server.

[0074] Step 5:

[0075] server

[0076] The server provides the stored 3D model data to a generative artificial intelligence (Generative AI), which analyzes the received .fbx file and converts it into the appropriate file format for the 3D printing device (e.g., .stl).

[0077] Step 6:

[0078] server

[0079] The converted data (e.g., flower_vase.stl) is stored again on the server, which then prepares it for transmission to the 3D printing device.

[0080] Step 7:

[0081] server

[0082] The server sends the converted data to the 3D printing device's API endpoint using an HTTP POST request, including encoding to ensure data accuracy.

[0083] Step 8:

[0084] three dimensional printing equipment

[0085] The 3D printing device parses the received .stl file and registers the print job. The device's control software uses the data to configure the printing process.

[0086] Step 9:

[0087] three dimensional printing equipment

[0088] The 3D printing machine initiates a print job, building a physical object (e.g., a vase) with material. The nozzle moves, building up layers to form the data-driven object.

[0089] Step 10:

[0090] three dimensional printing equipment

[0091] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes the completion status and details of the printing process.

[0092] Step 11:

[0093] server

[0094] The server receives notifications from the 3D printing device and transmits the information to the user via email, in-app notifications, and other methods.

[0095] Step 12:

[0096] User

[0097] The user confirms the notification from the server, accesses the 3D printing device, and removes the completed physical object (a vase) from the device, ready for use.

[0098] This detailed processing flow allows the user to easily and quickly materialize a three-dimensional object found in a virtual space in the real world.

[0099] Example 1

[0100] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0101] Conventional 3D printing technology has made it difficult for users to smoothly materialize objects selected in virtual reality in the real world. In particular, the process of converting 3D model data acquired from a virtual reality device into an appropriate file format and then accurately printing it on a 3D printing device is cumbersome and time-consuming. Furthermore, there are limited means by which users can easily bring objects they find in virtual reality into the real world.

[0102] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0103] In this invention, the server includes means for acquiring 3D model data from a virtual reality device, means for temporarily storing the 3D model data, means for transmitting the 3D model data to the server, means for storing the 3D model data on a disk, means for using a generative AI model to convert the 3D model data into another format, means for transmitting the 3D model data converted into the other format to a 3D printing device, means for the 3D printing device to print the converted 3D model data, and means for notifying that the printing is complete. This makes it possible to easily materialize a 3D object selected in virtual reality in the real world.

[0104] A "virtual reality device" is a device that allows a user to manipulate and select three-dimensional objects in a virtual space.

[0105] "Three-dimensional model data" is digital data for representing the shape and structure of a three-dimensional object.

[0106] "Temporary storage" is a storage operation for temporarily storing data.

[0107] A "server" is a computer system for storing, processing, and distributing data over a network.

[0108] A "generative AI model" is an artificial intelligence model that uses machine learning algorithms to analyze input data and generate specific outputs.

[0109] "Conversion" is the process of changing data into another form or format.

[0110] A "3D printing device" is a device for generating physical three-dimensional objects using digital data.

[0111] A "print job" is an individual printing operation performed by a three-dimensional printing device.

[0112] A "disk" is a storage device for permanent or long-term storage of data.

[0113] An "API endpoint" is an interface for using functions between programs.

[0114] An "HTTP POST request" is a communication method for sending data to a server over the Internet.

[0115] A "notification" is a communication that notifies of a particular event or state change.

[0116] MODE FOR CARRYING OUT THE INVENTION

[0117] The present invention relates to a system comprising a virtual reality device, a terminal, a server, and a three-dimensional printing device, for realizing a three-dimensional object selected in a virtual reality space in the real world.

[0118] Virtual reality device

[0119] The user selects a three-dimensional object in the virtual space using a virtual reality device. The virtual reality device consists of a headset worn on the head and a controller for operating it. When the user selects a three-dimensional object (e.g., flower_vase) in the virtual space, the information is sent to the terminal.

[0120] Terminal

[0121] The device receives the 3D model data sent from the virtual reality device and stores it in temporary storage (e.g., RAM).The device then connects to the server over the Internet and sends the 3D model data to the server using an HTTP POST request.The device communicates using an appropriate network library (e.g., cURL).

[0122] server

[0123] The server receives the 3D model data (e.g., flower_vase.fbx) sent from the device and saves it to disk (e.g., SSD). The server then analyzes the data using a generative AI model and converts it into an appropriate file format (e.g., flower_vase.stl). This generative AI model runs on a machine learning framework such as TENSORFLOW (registered trademark). After conversion, the server saves the converted file back to disk.

[0124] The server then connects to the API endpoint of the 3D printing device and sends the converted data to the 3D printing device using an HTTP POST request.

[0125] three dimensional printing equipment

[0126] The 3D printing device receives the .stl file sent from the server and registers it as a print job. The control software (e.g., PrusaSlicer) analyzes this data and begins preparations for printing. Once the print job begins, the nozzles in the device begin using material (e.g., PLA filament) to build the physical object. Once the printing process is complete, the 3D printing device sends a print completion notification to the server.

[0127] User

[0128] The user receives a notification from the server and can retrieve the physical object created from the 3D printing device, allowing them to hold the object selected in the virtual space in the real world.

[0129] Specific examples

[0130] For example, User A finds a vase (flower_vase) in a shop in the virtual reality space and selects it. This information is transmitted to the device, which then sends flower_vase.fbx to the server. The server then uses a generative AI model to convert flower_vase.fbx to flower_vase.stl. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, User A can take the physical vase out of the 3D printing device.

[0131] Prompt Sentence Examples

[0132] "Please convert the 3D model data flower_vase.fbx into .stl format."

[0133] This system allows users to easily materialize objects they find in virtual reality into the real world.

[0134] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0135] Step 1:

[0136] User

[0137] The user selects a 3D object in the virtual space using a virtual reality device. This operation is performed using a controller or gesture recognition, and 3D model data of the selected object (e.g., flower_vase.fbx) is generated.

[0138] Input: A user-selected 3D object

[0139] Output: 3D model data (flower_vase.fbx)

[0140] Step 2:

[0141] Terminal

[0142] The device receives 3D model data from the virtual reality device via wireless communication, stores the received data in temporary storage, and prepares to connect to the server via the Internet.

[0143] Input: 3D model data (flower_vase.fbx)

[0144] Output: Data saved in temporary storage

[0145] Step 3:

[0146] Terminal

[0147] The terminal connects to the server via the Internet and sends the 3D model data using an HTTP POST request. The network library (e.g., cURL) used for this is appropriately configured.

[0148] Input: 3D model data stored in temporary storage

[0149] Output: Data sent to the server

[0150] Step 4:

[0151] server

[0152] The server receives the HTTP POST request, saves the submitted 3D model data to disk, and then provides the saved data as input to the generative AI model.

[0153] Input: Submitted 3D model data (flower_vase.fbx)

[0154] Output: Data saved to disk

[0155] Step 5:

[0156] Generative AI Models

[0157] The generative AI model analyzes the input 3D model data and converts it into an appropriate file format (e.g., flower_vase.stl). This conversion process uses a machine learning framework such as TensorFlow.

[0158] Input: 3D model data (flower_vase.fbx)

[0159] Output: Converted file (flower_vase.stl)

[0160] Step 6:

[0161] server

[0162] The server verifies the converted data output by the generative AI model and saves it back to disk. It then connects to the API endpoint of the 3D printing device and sends the converted data via an HTTP POST request.

[0163] Input: Converted file (flower_vase.stl)

[0164] Output: Data sent to the 3D printing device

[0165] Step 7:

[0166] three dimensional printing equipment

[0167] The 3D printing device receives the .stl file sent from the server and registers it as a print job. The control software (e.g., PrusaSlicer) analyzes the data and prepares it for printing.

[0168] Input: Received .stl file

[0169] Output: Submitting a print job

[0170] Step 8:

[0171] three dimensional printing equipment

[0172] When a print job is initiated, the nozzle of the 3D printer begins building the specified shape layer by layer with material. When printing is complete, the 3D printer sends a print completion notification to the server.

[0173] Input: print job

[0174] Output: physical object and print completion notification

[0175] Step 9:

[0176] server

[0177] The server receives a print completion notification from the three-dimensional printing device and notifies the user.

[0178] Input: Print completion notification

[0179] Output: User notification

[0180] Step 10:

[0181] User

[0182] The user receives a notification from the server and can retrieve the generated physical object from the 3D printing device.

[0183] Input: Notification from the server

[0184] Output: Physical object capture

[0185] (Application example 1)

[0186] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0187] With conventional 3D printing technology, it was difficult for users to output designs selected in virtual reality space as physical objects. Furthermore, it was cumbersome for users to smoothly bring customized 3D model data to the printing stage, and there was no way to receive notification when printing was complete. This resulted in a poor user experience and prevented widespread adoption.

[0188] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0189] In this invention, the server includes means for acquiring 3D model data from a virtual reality device, means including a user interface for customizing the 3D model data, means using generative artificial intelligence to convert the customized 3D model data into another format, means for transmitting the converted 3D model data to a 3D printing device, and means for notifying a user after the 3D printing device completes a print job, thereby enabling a user to easily output a design selected and customized in a virtual reality space as a physical object and receive a notification of print completion.

[0190] A "virtual reality device" is a device that allows a user to view and manipulate three-dimensional objects in a virtual space.

[0191] "Three-dimensional model data" refers to data that includes coordinates, shape, color, and texture information in three-dimensional space.

[0192] The "user interface" is an operation screen that allows the user to interact with the system and customize the three-dimensional model data.

[0193] "Generative AI" is an AI technology that has the ability to automatically convert input data into another format.

[0194] A "3D printing device" is a device that generates physical objects based on 3D model data.

[0195] A "print job" is an operation performed by a three-dimensional printing device to generate an object based on specific three-dimensional model data.

[0196] A "notification" is a message sent from the system to inform the user of a status or result.

[0197] The present invention is realized by a system comprising a virtual reality device, a terminal, a server, and a three-dimensional printing device, in which a user selects and customizes a three-dimensional object in a virtual space and outputs it as a physical object.

[0198] First, a user enters a virtual space using a virtual reality device, and can view and manipulate various three-dimensional objects. The virtual reality device, such as a VR headset, allows the user to freely explore the three-dimensional space using natural movements. When the user selects a three-dimensional object they like, its model data is sent from the virtual reality device to the terminal.

[0199] The terminal then temporarily stores the received 3D model data and customizes it through a user interface, which the user uses to change the color and shape of the model data. Once customized, the model data is sent from the terminal to the server.

[0200] The server receives the customized 3D model data sent from the device and uses generative AI to analyze the data and convert it to another file format. Specifically, if the original file format is fbx, for example, it converts it to stl format. This conversion process uses a generative AI model and is given the prompt, "Convert the fbx file to an STL file. Use the following byte data." The required data is provided as a <byte array of data>.

[0201] The converted data is sent from the server to the 3D printing device, which uses the received STL file to generate a physical object. The 3D printing device analyzes the print job, makes any necessary preparations, and then starts the printing process.

[0202] Finally, when the print job is complete, the 3D printing device sends a print completion notification to the server, which then sends a print completion message to the user, allowing the user to pick up the completed physical object at a specified location.

[0203] For example, a user can select a cup design in a virtual reality space and customize its color and shape. The customized data is then sent to a server, where it is converted into STL format using a generative AI model. The converted data is then sent to a 3D printing device, which finally prints the physical cup and notifies the user.

[0204] The above is an embodiment of the present invention. This system allows a user to easily obtain an object found in a virtual reality space in a physical form.

[0205] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0206] Step 1:

[0207] A user enters a virtual space using a virtual reality device and selects a 3D object. The virtual reality device acquires the selected 3D model data and sends it to a terminal. The input is the user's selection action, and the output is the 3D model data. This 3D model data is, for example, data in the fbx file format.

[0208] Step 2:

[0209] The terminal temporarily stores the 3D model data received from the virtual reality device. Next, the user customizes the model data through the user interface. The input is the 3D model data received from the virtual reality device and the user's customization operations, and the output is customized 3D model data, which reflects color and shape changes.

[0210] Step 3:

[0211] The terminal sends customized 3D model data to the server. The input is the customized 3D model data, and the output is the data sent to the server. The transmission is performed using an HTTP POST request.

[0212] Step 4:

[0213] The server saves the received customized 3D model data to disk. Then, it provides the saved data as input to the generative AI model and converts the data into another file format. The input is the customized 3D model data, and the output is the converted file data. Specifically, the following prompt is used:

[0214] Convert the fbx file to an STL file using the following byte data:

[0215] <byte array of data>

[0216] Generative AI models analyze and transform data.

[0217] Step 5:

[0218] The server sends the converted file to the 3D printing device. The input is the converted file data, and the output is the data to be sent to the 3D printing device. The transmission is done using an HTTP POST request.

[0219] Step 6:

[0220] The 3D printing device analyzes the received converted file data and registers it as a print job. The input is the converted file data, and the output is the preparation of the print job. Nozzle and material settings are made.

[0221] Step 7:

[0222] The 3D printing device initiates the printing process to produce a physical object. The input is the print job data, and the output is the completed physical object. Once the printing process is complete, the 3D printing device sends a print completion notification to the server.

[0223] Step 8:

[0224] The server receives the print completion notification and sends a message to the user. The input is the notification from the 3D printing device, and the output is the notification message to the user. The user can receive this message and pick up the physical object at the specified location.

[0225] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0226] System configuration

[0227] The system of the present invention comprises a virtual reality device, a terminal, a server, a 3D printing device, and an emotion engine. The emotion engine analyzes the user's facial expressions, voice, and movements to determine their emotional state, and actively influences the virtual reality device and the 3D model data selected. When the user selects an object in the virtual space, the selection is optimized based on the analysis results of the emotion engine.

[0228] Program processing

[0229] 1. Data acquisition from virtual reality device and analysis of emotional state

[0230] User

[0231] The user uses the virtual reality device to explore the virtual space and select three-dimensional objects that interest them, while the emotion engine simultaneously analyzes the user's facial expressions, voice, and movements in real time to determine their emotional state.

[0232] 2. Selection support using an emotion engine

[0233] Terminal

[0234] The device receives emotional state data from the emotion engine and reflects it in the virtual reality device, which then displays objects that are likely to interest the user more prominently or recommends objects that match the user's specific emotional state.

[0235] 3. Handling 3D model data

[0236] Terminal

[0237] The device saves the selected 3D model data (e.g., flower_vase.fbx) in temporary storage. Then, the device connects to the server via the Internet and sends the saved data to the server using an HTTP POST request.

[0238] 4. Data Conversion

[0239] server

[0240] The server receives the 3D model data sent from the device (e.g., flower_vase.fbx) and saves it to disk. This data is then input into the generation AI, which automatically converts it to the appropriate file format (e.g., .stl). The converted data is then resaved.

[0241] 5. Sending the converted data

[0242] server

[0243] The server connects to the device's API endpoint to send the converted file to the 3D printing device, sending the conversion data to the endpoint using an HTTP POST request.

[0244] 6. Creating Physical Objects

[0245] three dimensional printing equipment

[0246] The 3D printing device parses the received .stl file and registers it as a print job. The device's control software uses the data to configure the printing process. The print job is executed, and the object is built layer by layer using material.

[0247] 7. Completion notification and receipt

[0248] three dimensional printing equipment

[0249] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes details of the print result and the status.

[0250] server

[0251] The server receives notifications from the 3D printing device and transmits them to the user, possibly via email or in-application notification.

[0252] User

[0253] The user confirms the notification from the server and accesses the 3D printing device to receive the completed physical object (e.g., a vase).

[0254] Specific examples

[0255] For example, User A finds a vase (flower_vase) in the virtual reality space and selects it. At this time, the emotion engine determines User A's emotional state from his / her facial expressions, voice, etc., and optimizes the display and recommendations of objects based on the results. The user-selected flower_vase.fbx is sent from the device to the server, where it is automatically converted to flower_vase.stl by the generation AI. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, User A can obtain the finished vase from the 3D printer.

[0256] This system allows for objects found in virtual reality to be easily and quickly materialized in the real world, taking into account the user's emotional state.

[0257] The processing flow will be explained below.

[0258] Step 1:

[0259] User

[0260] The user uses the virtual reality device to explore the virtual space and find three-dimensional objects that interest them, while the virtual reality device is equipped with an emotion engine that detects the user's facial expressions, voice, and movements.

[0261] Step 2:

[0262] Terminal

[0263] The device receives the user's emotional state data from the emotion engine. For example, the device analyzes the user's state of surprise, joy, etc. in real time and sends that information to the device.

[0264] Step 3:

[0265] Terminal

[0266] The device dynamically adjusts the type and placement of 3D objects displayed on the virtual reality device based on the emotional state data. For example, if the user is excited, more attractive objects will be displayed prominently.

[0267] Step 4:

[0268] User

[0269] The user selects a 3D object from the optimized display, and this selection information (e.g., flower_vase.fbx) is transmitted from the virtual reality device to the terminal.

[0270] Step 5:

[0271] Terminal

[0272] The device saves the selected 3D model data (e.g., flower_vase.fbx) in temporary storage. The device then connects to the server via the Internet and sends the saved file to the server using an HTTP POST request.

[0273] Step 6:

[0274] server

[0275] The server receives the three-dimensional model data (e.g., flower_vase.fbx) sent from the terminal and stores the data in a specific directory on the server.

[0276] Step 7:

[0277] server

[0278] The server provides the stored data to the generation AI, which analyzes the data and automatically converts it into the appropriate file format (e.g., .stl), which is then saved to disk.

[0279] Step 8:

[0280] server

[0281] The server sends the converted file (e.g., flower_vase.stl) to the API endpoint of the 3D printing device, again using an HTTP POST request.

[0282] Step 9:

[0283] three dimensional printing equipment

[0284] The 3D printing device parses the received .stl file and registers it in the print job. The control software configures it and starts the printing process based on the data.

[0285] Step 10:

[0286] three dimensional printing equipment

[0287] The 3D printing machine executes the print job, using material to build a physical object (e.g., a vase). The nozzle moves and deposits material layer by layer until the object is formed.

[0288] Step 11:

[0289] three dimensional printing equipment

[0290] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes detailed status of the print.

[0291] Step 12:

[0292] server

[0293] The server receives notifications from the 3D printing device and communicates the information to the user via email or in-app notifications.

[0294] Step 13:

[0295] User

[0296] The user confirms the notification from the server and accesses the 3D printing device, where they can remove the completed physical object (e.g., a vase) from the device and use it in the real world.

[0297] This detailed processing flow enables the user to easily and quickly materialize a three-dimensional object selected in a virtual space in the real world, while the emotion engine optimizes the display and selection process.

[0298] Example 2

[0299] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0300] Virtual reality technology is currently being used in a variety of fields, but object selection and recommendation systems have not yet taken into account the user's emotional state. Furthermore, the process of physically realizing a three-dimensional object selected in a virtual space is complex and time-consuming. Therefore, there is a need for a system that can smoothly and quickly select objects that reflect the user's emotional state and generate real objects from the virtual space.

[0301] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0302] In this invention, the server includes means for acquiring data including a user's emotional state from a virtual reality device, means for analyzing the emotional state and recommending a three-dimensional object that is optimal for the user, means for saving the three-dimensional object as three-dimensional model data and transmitting it to the server, means for converting the three-dimensional model data into another format using generative artificial intelligence, means for transmitting the converted three-dimensional model data to a three-dimensional printing device, and means for generating a physical object with the three-dimensional printing device and notifying the user of its completion. This enables optimal object selection based on the user's emotional state and further enables the object selected in the virtual space to be quickly physically realized.

[0303] A "virtual reality device" is a device that allows users to explore and interact with a virtual space, and is equipped with sensors that detect vision, hearing, and physical movements.

[0304] "Emotional state" is information that indicates the user's current psychological state, obtained by analyzing data such as the user's facial expression, voice, and movements.

[0305] A "three-dimensional object" is digital data having a three-dimensional shape that a user selects or focuses on in a virtual space.

[0306] "3D model data" is file data that digitally represents a 3D object. Examples include file formats such as .fbx and .stl.

[0307] "Generative artificial intelligence" is a system that utilizes machine learning models to generate output data (in this case, format conversion of three-dimensional model data) according to a purpose based on specific input data.

[0308] A "3D printing device" is a device that builds and generates physical objects layer by layer from digital 3D data.

[0309] "Recommendation" is the process of presenting or recommending the most suitable three-dimensional object based on the user's emotional state and behavior.

[0310] "Conversion" is the process of automatically converting data from one format to another. In this context, it refers to the process of converting 3D model data into a different file format.

[0311] A "prompt statement" is an instruction given to the generating AI, and is input information for performing a specific action (in this case, converting the format of three-dimensional model data).

[0312] "Notification" is the process by which the system provides information to the user to inform them of a specific event (such as the completion of three-dimensional printing).

[0313] The present invention is a system consisting of a virtual reality device, a terminal, a server, a 3D printing device, and an emotion engine. The emotion engine analyzes the user's facial expressions, voice, and movements to determine their emotional state, and actively influences the virtual reality device and the selected 3D model data.

[0314] When a user selects an object in the virtual space, the selection is optimized based on the analysis results of the emotion engine. A specific embodiment of this system will be described below.

[0315] Hardware and software used

[0316] The main hardware and software used in this system are as follows:

[0317] 1. Virtual Reality Devices (VR Devices)

[0318] 2. Emotion Engine (machine learning model)

[0319] 3. Terminal (PC or mobile device)

[0320] 4. Server (data processing and generation AI execution environment)

[0321] 5. Three-dimensional printing device (3D printer)

[0322] Data processing and calculation flow

[0323] User interaction and data acquisition

[0324] The user explores the virtual space using a virtual reality device. The virtual reality device detects the user's facial expressions, voice, and movements in real time. This data is then sent to the device.

[0325] Analysis by emotion engine

[0326] The device sends data to the emotion engine to analyze the user's emotional state. For example, when a user looks at a vase, the emotion engine reads the user's emotions from their facial expressions and tone of voice and determines that the user is "interested."

[0327] Optimized display in virtual space

[0328] The device receives the analysis results of the emotion engine and feeds them back to the virtual reality device, allowing objects that are likely to interest the user to stand out. It also recommends objects according to specific emotional states.

[0329] Data storage and transmission

[0330] The 3D model data selected by the user (e.g., flower_vase.fbx) is saved on the device, after which the device connects to the server and sends the data to the server using an HTTP POST request.

[0331] Data transformation with generative AI

[0332] The server saves the received 3D model data and inputs it into the generation AI. The prompt text is "Please convert the 3D model data flower_vase.fbx to .stl format." The generation AI automatically converts it to the specified format and generates an .stl file.

[0333] Sending data to a 3D printing device

[0334] The server sends the converted .stl file to the 3D printing device by connecting to the device's API endpoint and sending the data via an HTTP POST request.

[0335] Physical object creation and notification

[0336] The 3D printing device parses the received .stl file and registers it as a print job. The print job is executed and the object is built layer by layer. After printing is complete, the 3D printing device sends a completion notification to the server, which notifies the user. The user confirms the notification and receives the completed physical object from the 3D printing device.

[0337] Specific examples

[0338] For example, if User A finds a vase (flower_vase) in the virtual reality space and selects it, the emotion engine determines User A's emotional state from his / her facial expressions and voice. Based on the results, the display of objects and recommendations in the virtual space are optimized. The selected flower_vase.fbx is sent from the device to the server, where it is automatically converted to flower_vase.stl by the generation AI. After conversion, flower_vase.stl is sent to the 3D printing device, which outputs a physical vase. Finally, User A can obtain the finished vase from the 3D printer.

[0339] The system allows for objects found in virtual reality to be quickly materialized in physical form, taking into account the user's emotional state.

[0340] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0341] Step 1:

[0342] User

[0343] The user wears a virtual reality device and explores the virtual space. During this process, the device collects data such as the user's facial expressions, voice, and movements. This data is then transmitted to the device in real time via sensors and microphones.

[0344] Input: User's facial expression, voice, and movement data

[0345] Output: Real-time data transfer to the device

[0346] Step 2:

[0347] Terminal

[0348] The user data transmitted from the virtual reality device is received and sent to the emotion engine. The emotion engine analyzes the received data and determines the user's emotional state. For example, if the user is smiling, it determines "joy."

[0349] Input: User's facial expression, voice, and movement data

[0350] Output: Emotional state data from the emotion engine

[0351] Step 3:

[0352] Terminal

[0353] The analysis results of the emotion engine are received and fed back to the virtual reality device. This allows objects that are likely to interest the user to be displayed prominently. For example, if the user is in a "surprised" state, objects that match that emotion will be recommended preferentially.

[0354] Input: Emotional state data

[0355] Output: Optimizing the display of objects in virtual reality devices

[0356] Step 4:

[0357] User

[0358] The user selects a 3D object in the virtual space that interests them. For example, the user clicks on a vase to select it. The selection information is sent to the device.

[0359] Input: Selected object information (e.g. flower_vase.fbx)

[0360] Output: Sending object selection information to the terminal

[0361] Step 5:

[0362] Terminal

[0363] The selected 3D model data (e.g., flower_vase.fbx) is temporarily saved in local storage, and then sent to the server using an HTTP POST request.

[0364] Input: Selected 3D model data

[0365] Output: Send data to the server

[0366] Step 6:

[0367] server

[0368] The received 3D model data is saved and input to the generation AI. The prompt text is "Please convert the 3D model data flower_vase.fbx to .stl format." The generation AI converts the data to the specified format and generates an .stl file.

[0369] Input: 3D model data, prompt text

[0370] Output: Converted .stl file

[0371] Step 7:

[0372] server

[0373] To send the converted .stl file to the 3D printing device, an HTTP POST request is sent to the device's API endpoint. If the transfer is successful, the server records the transfer result in a log.

[0374] Input: Converted .stl file

[0375] Output: Sending data to a 3D printing device

[0376] Step 8:

[0377] three dimensional printing equipment

[0378] The received .stl file is parsed and registered as a print job. The control software automatically configures the 3D printer to use the material to build the object layer by layer.

[0379] Input: .stl file

[0380] Output: Physical object generation

[0381] Step 9:

[0382] three dimensional printing equipment

[0383] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes details of the print result and the status.

[0384] Input: None (Printing completed)

[0385] Output: Print completion notification to the server

[0386] Step 10:

[0387] server

[0388] A print completion notification is received and the completion notification is reported to the user via email or application notification.

[0389] Input: Print completion notification

[0390] Output: User notification

[0391] Step 11:

[0392] User

[0393] Confirm the notification and receive the completed physical object from the 3D printing machine.

[0394] Input: Completion notification

[0395] Output: Receives a physical object

[0396] (Application example 2)

[0397] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0398] In virtual reality experiences, there is a lack of efficient and fast ways for users to obtain items they are interested in in the real world. Furthermore, there is a lack of optimal item recommendations based on the user's emotional state, making it difficult to improve the quality of the user experience.

[0399] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0400] In this invention, the server includes means for acquiring 3D model data from a virtual reality device, means for using generative artificial intelligence to convert the 3D model data into another format, means for transmitting the converted 3D model data to a 3D printing device, means for analyzing a user's emotional state, means for recommending an item based on the analyzed emotional state, and means for the user to select the recommended item, thereby enabling the recommendation of an optimal item based on the user's emotional state and enabling the selected item to be quickly obtained in the real world.

[0401] A "virtual reality device" is an electronic device that allows a user to visually and sensorily experience a virtual space.

[0402] "Three-dimensional model data" is digital data that represents the shape and structure of an object in three-dimensional space.

[0403] "Generative AI" is AI that has the ability to create new data based on specific input data.

[0404] A "3D printing device" is a machine for building physical three-dimensional objects from digital data.

[0405] "Means for analyzing emotional state" refers to a method for inferring a user's emotions by analyzing data such as the user's facial expressions, voice, and movements.

[0406] "Means for recommending items" refers to a method for selecting and presenting products and services that are likely to interest the user.

[0407] The "means of user selection" refers to the method by which a user selects a particular object or service from the presented options.

[0408] This invention is realized by a system consisting of a virtual reality device, a terminal, a server, a 3D printing device, and an emotion engine. The system allows a user to use the virtual reality device to explore a virtual space, select a 3D object of interest, and physically obtain that object in the real world.

[0409] System configuration

[0410] 1. Virtual reality devices:

[0411] A device (e.g., Oculus Rift) is used to allow users to visually and sensorily experience a virtual space. Data such as the user's facial expressions, movements, and voice are collected from this device.

[0412] 2. Emotion Engine:

[0413] The emotion engine analyzes the user's facial expressions, voice, and movements in real time to determine their emotional state (e.g., using Affectiva SDK). Based on the analyzed emotional state, product recommendations are made.

[0414] 3. Terminal:

[0415] The device receives data from the emotion engine and the virtual reality device and performs appropriate processing. The emotional state data from the emotion engine is reflected in the virtual reality device, and objects that interest the user are displayed prominently. The device also sends the 3D model data (e.g., flower_vase.fbx) selected by the user to the server.

[0416] 4. Server:

[0417] The server receives the 3D model data sent from the device and converts it into an appropriate format (e.g., .stl) using a generative AI (e.g., a generative AI model). The converted data is then sent to the 3D printing device.

[0418] 5. Three-dimensional printing equipment:

[0419] The 3D printing device (e.g. Ultimaker S5) parses the .stl file sent from the server and uses the materials to build a physical object layer by layer, and the user can finally receive the finished item from the 3D printing device.

[0420] Specific examples

[0421] For example, a user finds a vase (flower_vase) in a virtual reality space and selects it. At this time, the emotion engine determines the user's emotional state from their facial expressions and voice, and the display and recommendations of objects are optimized based on the results. The user-selected flower_vase.fbx is sent from the device to the server, where it is automatically converted to flower_vase.stl by the generation AI. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, the user can obtain the finished vase from the 3D printer.

[0422] Prompt Sentence Examples

[0423] Analyze the facial expressions and movement data of users using a VR device and recommend the best products for them. When the user selects a recommended product, obtain the 3D model data of that product and convert it into STL format using generative AI. Implement the process of sending the converted data to a 3D printer to create a physical object.

[0424] This system allows users to receive recommendations for optimal items based on their emotional state and quickly acquire items selected in the virtual space in the real world.

[0425] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0426] Step 1:

[0427] A user explores a virtual space using a virtual reality device. Input data, such as the user's facial expressions, voice, and movements, are acquired from the virtual reality device. This data becomes the input for the system. The output is the user's search results. This also includes the user's action of selecting a 3D object that interests them.

[0428] Step 2:

[0429] The terminal transmits the acquired data to the emotion engine to analyze the emotional state. The emotion engine analyzes the user's facial expression, voice, and movement data to determine the user's emotional state. Data from the virtual reality device is used as input, and the analyzed emotional state is obtained as output.

[0430] Step 3:

[0431] The terminal receives the emotional state data from the emotion engine and recommends products based on the analyzed emotional state. The emotional state data is used as input, and a list of recommended products is obtained as output. In specific operations, a product recommendation algorithm related to the emotional state is executed.

[0432] Step 4:

[0433] The user selects an object that they are likely to be interested in from the recommended items. The input is a list of recommended items, and the output is the item selected by the user (e.g., flower_vase.fbx).

[0434] Step 5:

[0435] The terminal obtains the 3D model data selected by the user and sends it to the server. The selected 3D model data is used as input, and this data is sent to the server as output. Specifically, an HTTP POST request is executed.

[0436] Step 6:

[0437] The server receives and stores the 3D model data sent from the device. The data is then input into the generative AI model and converted into the appropriate file format (e.g., .stl). The 3D model data and the generative AI model are used as input, and the converted data is obtained as output. Specifically, the generative AI converts the file format.

[0438] Step 7:

[0439] The server sends the converted file to the 3D printing device. The converted data (e.g., flower_vase.stl) is used as input, and the output is sent to the 3D printing device. Specifically, the data is sent using an HTTP POST request.

[0440] Step 8:

[0441] The 3D printing device parses the received .stl file and registers it as a print job. The input is the received data (.stl file) and the output is the executed print job. The specific operation is to automatically set up the printing process and produce a physical object.

[0442] Step 9:

[0443] When the 3D printing device completes printing, it sends a notification to the server. The input is the print completion status, and the output is a completion notification sent to the server. The specific operation is to send a notification to the server that includes the completion status and result details.

[0444] Step 10:

[0445] The server receives a completion notification from the 3D printing device and transmits it to the user. The completion notification is used as input, and a notification (email or in-application notification) is sent to the user as output. The user checks the notification and receives the completed item from the 3D printing device.

[0446] 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.

[0447] 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> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[0448] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0449] [Second embodiment]

[0450] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0451] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0452] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0453] 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.

[0454] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0455] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0456] 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.

[0457] 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.

[0458] 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 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.

[0459] 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.

[0460] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0461] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0462] System configuration

[0463] The system of the present invention comprises a virtual reality device, a terminal, a server, and a 3D printing device. The virtual reality device allows a user to manipulate and select a 3D object in a virtual space, and the selected 3D model data is sent to the server via the terminal. The server receives this data and converts it into an appropriate file format using generative artificial intelligence. The converted data is then sent to the 3D printing device, where a physical object is generated.

[0464] Program processing

[0465] 1. Data acquisition from virtual reality devices

[0466] User

[0467] The user selects a 3D object they see in the virtual space using the virtual reality device, and the object data (e.g., flower_vase.fbx) is transmitted from the virtual reality device to the terminal.

[0468] Terminal

[0469] The device temporarily stores the 3D model data received from the virtual reality device. The device then connects to the server via the Internet and sends the stored data to the server. This process uses an HTTP POST request.

[0470] 2. Conversion of 3D model data

[0471] server

[0472] The server receives the 3D model data (e.g., flower_vase.fbx) sent from the terminal and saves the data to disk.

[0473] server

[0474] The server provides the stored data as input to the AI ​​generator, which then analyzes the data and automatically converts it into the appropriate file format (e.g., flower_vase.stl). This conversion process is completed within a few seconds to a few minutes.

[0475] 3. Sending the converted data

[0476] server

[0477] The server connects to the API endpoint of the 3D printing device to send the converted file to the 3D printing device. After connecting to the endpoint, it sends the conversion data via an HTTP POST request.

[0478] 4. Creating Physical Objects

[0479] three dimensional printing equipment

[0480] The 3D printing device receives the .stl file sent from the server and registers it as a print job. The printer's control software parses the data and prepares it for printing.

[0481] three dimensional printing equipment

[0482] When a print job is initiated, nozzles within the device begin using material to build a physical object, and once the printing process is complete, the 3D printing device sends a print completion notification to the server.

[0483] User

[0484] Upon receiving a notification from the server, the user can retrieve the generated physical object from the three-dimensional printing device.

[0485] Specific examples

[0486] For example, User A finds a vase (flower_vase) in a shop in the virtual reality space and selects it. This information is transmitted to the device, which then sends flower_vase.fbx to the server. The server then uses generative AI to convert flower_vase.fbx to flower_vase.stl. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, User A can obtain a physical vase from the 3D printer.

[0487] This system allows users to easily materialize objects they find in virtual reality into the real world.

[0488] The processing flow will be explained below.

[0489] Step 1:

[0490] User

[0491] The user uses the virtual reality device to explore the virtual space and find the 3D object they want. By selecting this object, the 3D model data of that object (e.g., flower_vase.fbx) is saved in the virtual reality device.

[0492] Step 2:

[0493] Terminal

[0494] The device acquires the 3D model data from the virtual reality device and temporarily stores it. The acquired data is stored in the device's storage in a file format (e.g., .fbx).

[0495] Step 3:

[0496] Terminal

[0497] The device transmits the stored 3D model data to the server via the Internet using an HTTP POST request, and the data is sent to the server in the appropriate encoding format.

[0498] Step 4:

[0499] server

[0500] The server receives the HTTP request and retrieves the transferred data (e.g., flower_vase.fbx). The received data is saved in a specific directory on the server.

[0501] Step 5:

[0502] server

[0503] The server provides the stored 3D model data to a generative artificial intelligence (Generative AI), which analyzes the received .fbx file and converts it into the appropriate file format for the 3D printing device (e.g., .stl).

[0504] Step 6:

[0505] server

[0506] The converted data (e.g., flower_vase.stl) is stored again on the server, which then prepares it for transmission to the 3D printing device.

[0507] Step 7:

[0508] server

[0509] The server sends the converted data to the 3D printing device's API endpoint using an HTTP POST request, including encoding to ensure data accuracy.

[0510] Step 8:

[0511] three dimensional printing equipment

[0512] The 3D printing device parses the received .stl file and registers the print job. The device's control software uses the data to configure the printing process.

[0513] Step 9:

[0514] three dimensional printing equipment

[0515] The 3D printing machine initiates a print job, building a physical object (e.g., a vase) with material. The nozzle moves, building up layers to form the data-driven object.

[0516] Step 10:

[0517] three dimensional printing equipment

[0518] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes the completion status and details of the printing process.

[0519] Step 11:

[0520] server

[0521] The server receives notifications from the 3D printing device and transmits the information to the user via email, in-app notifications, and other methods.

[0522] Step 12:

[0523] User

[0524] The user confirms the notification from the server, accesses the 3D printing device, and removes the completed physical object (a vase) from the device, ready for use.

[0525] This detailed processing flow allows the user to easily and quickly materialize a three-dimensional object found in a virtual space in the real world.

[0526] Example 1

[0527] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0528] Conventional 3D printing technology has made it difficult for users to smoothly materialize objects selected in virtual reality in the real world. In particular, the process of converting 3D model data acquired from a virtual reality device into an appropriate file format and then accurately printing it on a 3D printing device is cumbersome and time-consuming. Furthermore, there are limited means by which users can easily bring objects they find in virtual reality into the real world.

[0529] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0530] In this invention, the server includes means for acquiring 3D model data from a virtual reality device, means for temporarily storing the 3D model data, means for transmitting the 3D model data to the server, means for storing the 3D model data on a disk, means for using a generative AI model to convert the 3D model data into another format, means for transmitting the 3D model data converted into the other format to a 3D printing device, means for the 3D printing device to print the converted 3D model data, and means for notifying that the printing is complete. This makes it possible to easily materialize a 3D object selected in virtual reality in the real world.

[0531] A "virtual reality device" is a device that allows a user to manipulate and select three-dimensional objects in a virtual space.

[0532] "Three-dimensional model data" is digital data for representing the shape and structure of a three-dimensional object.

[0533] "Temporary storage" is a storage operation for temporarily storing data.

[0534] A "server" is a computer system for storing, processing, and distributing data over a network.

[0535] A "generative AI model" is an artificial intelligence model that uses machine learning algorithms to analyze input data and generate specific outputs.

[0536] "Conversion" is the process of changing data into another form or format.

[0537] A "3D printing device" is a device for generating physical three-dimensional objects using digital data.

[0538] A "print job" is an individual printing operation performed by a three-dimensional printing device.

[0539] A "disk" is a storage device for permanent or long-term storage of data.

[0540] An "API endpoint" is an interface for using functions between programs.

[0541] An "HTTP POST request" is a communication method for sending data to a server over the Internet.

[0542] A "notification" is a communication that notifies of a particular event or state change.

[0543] MODE FOR CARRYING OUT THE INVENTION

[0544] The present invention relates to a system comprising a virtual reality device, a terminal, a server, and a three-dimensional printing device, for realizing a three-dimensional object selected in a virtual reality space in the real world.

[0545] Virtual reality device

[0546] The user selects a three-dimensional object in the virtual space using a virtual reality device. The virtual reality device consists of a headset worn on the head and a controller for operating it. When the user selects a three-dimensional object (e.g., flower_vase) in the virtual space, the information is sent to the terminal.

[0547] Terminal

[0548] The device receives the 3D model data sent from the virtual reality device and stores it in temporary storage (e.g., RAM).The device then connects to the server over the Internet and sends the 3D model data to the server using an HTTP POST request.The device communicates using an appropriate network library (e.g., cURL).

[0549] server

[0550] The server receives the 3D model data (e.g., flower_vase.fbx) sent from the device and saves it to disk (e.g., SSD). The server then analyzes the data using a generative AI model and converts it into an appropriate file format (e.g., flower_vase.stl). This generative AI model runs on a machine learning framework such as TensorFlow. After conversion, the server saves the converted file back to disk.

[0551] The server then connects to the API endpoint of the 3D printing device and sends the converted data to the 3D printing device using an HTTP POST request.

[0552] three dimensional printing equipment

[0553] The 3D printing device receives the .stl file sent from the server and registers it as a print job. The control software (e.g., PrusaSlicer) analyzes this data and begins preparations for printing. Once the print job begins, the nozzles in the device begin using material (e.g., PLA filament) to build the physical object. Once the printing process is complete, the 3D printing device sends a print completion notification to the server.

[0554] User

[0555] The user receives a notification from the server and can retrieve the physical object created from the 3D printing device, allowing them to hold the object selected in the virtual space in the real world.

[0556] Specific examples

[0557] For example, User A finds a vase (flower_vase) in a shop in the virtual reality space and selects it. This information is transmitted to the device, which then sends flower_vase.fbx to the server. The server then uses a generative AI model to convert flower_vase.fbx to flower_vase.stl. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, User A can take the physical vase out of the 3D printing device.

[0558] Prompt Sentence Examples

[0559] "Please convert the 3D model data flower_vase.fbx into .stl format."

[0560] This system allows users to easily materialize objects they find in virtual reality into the real world.

[0561] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0562] Step 1:

[0563] User

[0564] The user selects a 3D object in the virtual space using a virtual reality device. This operation is performed using a controller or gesture recognition, and 3D model data of the selected object (e.g., flower_vase.fbx) is generated.

[0565] Input: A user-selected 3D object

[0566] Output: 3D model data (flower_vase.fbx)

[0567] Step 2:

[0568] Terminal

[0569] The device receives 3D model data from the virtual reality device via wireless communication, stores the received data in temporary storage, and prepares to connect to the server via the Internet.

[0570] Input: 3D model data (flower_vase.fbx)

[0571] Output: Data saved in temporary storage

[0572] Step 3:

[0573] Terminal

[0574] The terminal connects to the server via the Internet and sends the 3D model data using an HTTP POST request. The network library (e.g., cURL) used for this is appropriately configured.

[0575] Input: 3D model data stored in temporary storage

[0576] Output: Data sent to the server

[0577] Step 4:

[0578] server

[0579] The server receives the HTTP POST request, saves the submitted 3D model data to disk, and then provides the saved data as input to the generative AI model.

[0580] Input: Submitted 3D model data (flower_vase.fbx)

[0581] Output: Data saved to disk

[0582] Step 5:

[0583] Generative AI Models

[0584] The generative AI model analyzes the input 3D model data and converts it into an appropriate file format (e.g., flower_vase.stl). This conversion process uses a machine learning framework such as TensorFlow.

[0585] Input: 3D model data (flower_vase.fbx)

[0586] Output: Converted file (flower_vase.stl)

[0587] Step 6:

[0588] server

[0589] The server verifies the converted data output by the generative AI model and saves it back to disk. It then connects to the API endpoint of the 3D printing device and sends the converted data via an HTTP POST request.

[0590] Input: Converted file (flower_vase.stl)

[0591] Output: Data sent to the 3D printing device

[0592] Step 7:

[0593] three dimensional printing equipment

[0594] The 3D printing device receives the .stl file sent from the server and registers it as a print job. The control software (e.g., PrusaSlicer) analyzes the data and prepares it for printing.

[0595] Input: Received .stl file

[0596] Output: Submitting a print job

[0597] Step 8:

[0598] three dimensional printing equipment

[0599] When a print job is initiated, the nozzle of the 3D printer begins building the specified shape layer by layer with material. When printing is complete, the 3D printer sends a print completion notification to the server.

[0600] Input: print job

[0601] Output: physical object and print completion notification

[0602] Step 9:

[0603] server

[0604] The server receives a print completion notification from the three-dimensional printing device and notifies the user.

[0605] Input: Print completion notification

[0606] Output: User notification

[0607] Step 10:

[0608] User

[0609] The user receives a notification from the server and can retrieve the generated physical object from the 3D printing device.

[0610] Input: Notification from the server

[0611] Output: Physical object capture

[0612] (Application example 1)

[0613] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0614] With conventional 3D printing technology, it was difficult for users to output designs selected in virtual reality space as physical objects. Furthermore, it was cumbersome for users to smoothly bring customized 3D model data to the printing stage, and there was no way to receive notification when printing was complete. This resulted in a poor user experience and prevented widespread adoption.

[0615] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0616] In this invention, the server includes means for acquiring 3D model data from a virtual reality device, means including a user interface for customizing the 3D model data, means using generative artificial intelligence to convert the customized 3D model data into another format, means for transmitting the converted 3D model data to a 3D printing device, and means for notifying a user after the 3D printing device completes a print job, thereby enabling a user to easily output a design selected and customized in a virtual reality space as a physical object and receive a notification of print completion.

[0617] A "virtual reality device" is a device that allows a user to view and manipulate three-dimensional objects in a virtual space.

[0618] "Three-dimensional model data" refers to data that includes coordinates, shape, color, and texture information in three-dimensional space.

[0619] The "user interface" is an operation screen that allows the user to interact with the system and customize the three-dimensional model data.

[0620] "Generative AI" is an AI technology that has the ability to automatically convert input data into another format.

[0621] A "3D printing device" is a device that generates physical objects based on 3D model data.

[0622] A "print job" is an operation performed by a three-dimensional printing device to generate an object based on specific three-dimensional model data.

[0623] A "notification" is a message sent from the system to inform the user of a status or result.

[0624] The present invention is realized by a system comprising a virtual reality device, a terminal, a server, and a three-dimensional printing device, in which a user selects and customizes a three-dimensional object in a virtual space and outputs it as a physical object.

[0625] First, a user enters a virtual space using a virtual reality device, and can view and manipulate various three-dimensional objects. The virtual reality device, such as a VR headset, allows the user to freely explore the three-dimensional space using natural movements. When the user selects a three-dimensional object they like, its model data is sent from the virtual reality device to the terminal.

[0626] The terminal then temporarily stores the received 3D model data and customizes it through a user interface, which the user uses to change the color and shape of the model data. Once customized, the model data is sent from the terminal to the server.

[0627] The server receives the customized 3D model data sent from the device and uses generative AI to analyze the data and convert it to another file format. Specifically, if the original file format is fbx, for example, it converts it to stl format. This conversion process uses a generative AI model and is given the prompt, "Convert the fbx file to an STL file. Use the following byte data." The required data is provided as a <byte array of data>.

[0628] The converted data is sent from the server to the 3D printing device, which uses the received STL file to generate a physical object. The 3D printing device analyzes the print job, makes any necessary preparations, and then starts the printing process.

[0629] Finally, when the print job is complete, the 3D printing device sends a print completion notification to the server, which then sends a print completion message to the user, allowing the user to pick up the completed physical object at a specified location.

[0630] For example, a user can select a cup design in a virtual reality space and customize its color and shape. The customized data is then sent to a server, where it is converted into STL format using a generative AI model. The converted data is then sent to a 3D printing device, which finally prints the physical cup and notifies the user.

[0631] The above is an embodiment of the present invention. This system allows a user to easily obtain an object found in a virtual reality space in a physical form.

[0632] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0633] Step 1:

[0634] A user enters a virtual space using a virtual reality device and selects a 3D object. The virtual reality device acquires the selected 3D model data and sends it to a terminal. The input is the user's selection action, and the output is the 3D model data. This 3D model data is, for example, data in the fbx file format.

[0635] Step 2:

[0636] The terminal temporarily stores the 3D model data received from the virtual reality device. Next, the user customizes the model data through the user interface. The input is the 3D model data received from the virtual reality device and the user's customization operations, and the output is customized 3D model data, which reflects color and shape changes.

[0637] Step 3:

[0638] The terminal sends customized 3D model data to the server. The input is the customized 3D model data, and the output is the data sent to the server. The transmission is performed using an HTTP POST request.

[0639] Step 4:

[0640] The server saves the received customized 3D model data to disk. Then, it provides the saved data as input to the generative AI model and converts the data into another file format. The input is the customized 3D model data, and the output is the converted file data. Specifically, the following prompt is used:

[0641] Convert the fbx file to an STL file using the following byte data:

[0642] <byte array of data>

[0643] Generative AI models analyze and transform data.

[0644] Step 5:

[0645] The server sends the converted file to the 3D printing device. The input is the converted file data, and the output is the data to be sent to the 3D printing device. The transmission is done using an HTTP POST request.

[0646] Step 6:

[0647] The 3D printing device analyzes the received converted file data and registers it as a print job. The input is the converted file data, and the output is the preparation of the print job. Nozzle and material settings are made.

[0648] Step 7:

[0649] The 3D printing device initiates the printing process to produce a physical object. The input is the print job data, and the output is the completed physical object. Once the printing process is complete, the 3D printing device sends a print completion notification to the server.

[0650] Step 8:

[0651] The server receives the print completion notification and sends a message to the user. The input is the notification from the 3D printing device, and the output is the notification message to the user. The user can receive this message and pick up the physical object at the specified location.

[0652] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0653] System configuration

[0654] The system of the present invention comprises a virtual reality device, a terminal, a server, a 3D printing device, and an emotion engine. The emotion engine analyzes the user's facial expressions, voice, and movements to determine their emotional state, and actively influences the virtual reality device and the 3D model data selected. When the user selects an object in the virtual space, the selection is optimized based on the analysis results of the emotion engine.

[0655] Program processing

[0656] 1. Data acquisition from virtual reality device and analysis of emotional state

[0657] User

[0658] The user uses the virtual reality device to explore the virtual space and select three-dimensional objects that interest them, while the emotion engine simultaneously analyzes the user's facial expressions, voice, and movements in real time to determine their emotional state.

[0659] 2. Selection support using an emotion engine

[0660] Terminal

[0661] The device receives emotional state data from the emotion engine and reflects it in the virtual reality device, which then displays objects that are likely to interest the user more prominently or recommends objects that match the user's specific emotional state.

[0662] 3. Handling 3D model data

[0663] Terminal

[0664] The device saves the selected 3D model data (e.g., flower_vase.fbx) in temporary storage. Then, the device connects to the server via the Internet and sends the saved data to the server using an HTTP POST request.

[0665] 4. Data Conversion

[0666] server

[0667] The server receives the 3D model data sent from the device (e.g., flower_vase.fbx) and saves it to disk. This data is then input into the generation AI, which automatically converts it to the appropriate file format (e.g., .stl). The converted data is then resaved.

[0668] 5. Sending the converted data

[0669] server

[0670] The server connects to the device's API endpoint to send the converted file to the 3D printing device, sending the conversion data to the endpoint using an HTTP POST request.

[0671] 6. Creating Physical Objects

[0672] three dimensional printing equipment

[0673] The 3D printing device parses the received .stl file and registers it as a print job. The device's control software uses the data to configure the printing process. The print job is executed, and the object is built layer by layer using material.

[0674] 7. Completion notification and receipt

[0675] three dimensional printing equipment

[0676] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes details of the print result and the status.

[0677] server

[0678] The server receives notifications from the 3D printing device and transmits them to the user, possibly via email or in-application notification.

[0679] User

[0680] The user confirms the notification from the server and accesses the 3D printing device to receive the completed physical object (e.g., a vase).

[0681] Specific examples

[0682] For example, User A finds a vase (flower_vase) in the virtual reality space and selects it. At this time, the emotion engine determines User A's emotional state from his / her facial expressions, voice, etc., and optimizes the display and recommendations of objects based on the results. The user-selected flower_vase.fbx is sent from the device to the server, where it is automatically converted to flower_vase.stl by the generation AI. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, User A can obtain the finished vase from the 3D printer.

[0683] This system allows for objects found in virtual reality to be easily and quickly materialized in the real world, taking into account the user's emotional state.

[0684] The processing flow will be explained below.

[0685] Step 1:

[0686] User

[0687] The user uses the virtual reality device to explore the virtual space and find three-dimensional objects that interest them, while the virtual reality device is equipped with an emotion engine that detects the user's facial expressions, voice, and movements.

[0688] Step 2:

[0689] Terminal

[0690] The device receives the user's emotional state data from the emotion engine. For example, the device analyzes the user's state of surprise, joy, etc. in real time and sends that information to the device.

[0691] Step 3:

[0692] Terminal

[0693] The device dynamically adjusts the type and placement of 3D objects displayed on the virtual reality device based on the emotional state data. For example, if the user is excited, more attractive objects will be displayed prominently.

[0694] Step 4:

[0695] User

[0696] The user selects a 3D object from the optimized display, and this selection information (e.g., flower_vase.fbx) is transmitted from the virtual reality device to the terminal.

[0697] Step 5:

[0698] Terminal

[0699] The device saves the selected 3D model data (e.g., flower_vase.fbx) in temporary storage. The device then connects to the server via the Internet and sends the saved file to the server using an HTTP POST request.

[0700] Step 6:

[0701] server

[0702] The server receives the three-dimensional model data (e.g., flower_vase.fbx) sent from the terminal and stores the data in a specific directory on the server.

[0703] Step 7:

[0704] server

[0705] The server provides the stored data to the generation AI, which analyzes the data and automatically converts it into the appropriate file format (e.g., .stl), which is then saved to disk.

[0706] Step 8:

[0707] server

[0708] The server sends the converted file (e.g., flower_vase.stl) to the API endpoint of the 3D printing device, again using an HTTP POST request.

[0709] Step 9:

[0710] three dimensional printing equipment

[0711] The 3D printing device parses the received .stl file and registers it in the print job. The control software configures it and starts the printing process based on the data.

[0712] Step 10:

[0713] three dimensional printing equipment

[0714] The 3D printing machine executes the print job, using material to build a physical object (e.g., a vase). The nozzle moves and deposits material layer by layer until the object is formed.

[0715] Step 11:

[0716] three dimensional printing equipment

[0717] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes detailed status of the print.

[0718] Step 12:

[0719] server

[0720] The server receives notifications from the 3D printing device and communicates the information to the user via email or in-app notifications.

[0721] Step 13:

[0722] User

[0723] The user confirms the notification from the server and accesses the 3D printing device, where they can remove the completed physical object (e.g., a vase) from the device and use it in the real world.

[0724] This detailed processing flow enables the user to easily and quickly materialize a three-dimensional object selected in a virtual space in the real world, while the emotion engine optimizes the display and selection process.

[0725] Example 2

[0726] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0727] Virtual reality technology is currently being used in a variety of fields, but object selection and recommendation systems have not yet taken into account the user's emotional state. Furthermore, the process of physically realizing a three-dimensional object selected in a virtual space is complex and time-consuming. Therefore, there is a need for a system that can smoothly and quickly select objects that reflect the user's emotional state and generate real objects from the virtual space.

[0728] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0729] In this invention, the server includes means for acquiring data including a user's emotional state from a virtual reality device, means for analyzing the emotional state and recommending a three-dimensional object that is optimal for the user, means for saving the three-dimensional object as three-dimensional model data and transmitting it to the server, means for converting the three-dimensional model data into another format using generative artificial intelligence, means for transmitting the converted three-dimensional model data to a three-dimensional printing device, and means for generating a physical object with the three-dimensional printing device and notifying the user of its completion. This enables optimal object selection based on the user's emotional state and further enables the object selected in the virtual space to be quickly physically realized.

[0730] A "virtual reality device" is a device that allows users to explore and interact with a virtual space, and is equipped with sensors that detect vision, hearing, and physical movements.

[0731] "Emotional state" is information that indicates the user's current psychological state, obtained by analyzing data such as the user's facial expression, voice, and movements.

[0732] A "three-dimensional object" is digital data having a three-dimensional shape that a user selects or focuses on in a virtual space.

[0733] "3D model data" is file data that digitally represents a 3D object. Examples include file formats such as .fbx and .stl.

[0734] "Generative artificial intelligence" is a system that utilizes machine learning models to generate output data (in this case, format conversion of three-dimensional model data) according to a purpose based on specific input data.

[0735] A "3D printing device" is a device that builds and generates physical objects layer by layer from digital 3D data.

[0736] "Recommendation" is the process of presenting or recommending the most suitable three-dimensional object based on the user's emotional state and behavior.

[0737] "Conversion" is the process of automatically converting data from one format to another. In this context, it refers to the process of converting 3D model data into a different file format.

[0738] A "prompt statement" is an instruction given to the generating AI, and is input information for performing a specific action (in this case, converting the format of three-dimensional model data).

[0739] "Notification" is the process by which the system provides information to the user to inform them of a specific event (such as the completion of three-dimensional printing).

[0740] The present invention is a system consisting of a virtual reality device, a terminal, a server, a 3D printing device, and an emotion engine. The emotion engine analyzes the user's facial expressions, voice, and movements to determine their emotional state, and actively influences the virtual reality device and the selected 3D model data.

[0741] When a user selects an object in the virtual space, the selection is optimized based on the analysis results of the emotion engine. A specific embodiment of this system will be described below.

[0742] Hardware and software used

[0743] The main hardware and software used in this system are as follows:

[0744] 1. Virtual Reality Devices (VR Devices)

[0745] 2. Emotion Engine (machine learning model)

[0746] 3. Terminal (PC or mobile device)

[0747] 4. Server (data processing and generation AI execution environment)

[0748] 5. Three-dimensional printing device (3D printer)

[0749] Data processing and calculation flow

[0750] User interaction and data acquisition

[0751] The user explores the virtual space using a virtual reality device. The virtual reality device detects the user's facial expressions, voice, and movements in real time. This data is then sent to the device.

[0752] Analysis by emotion engine

[0753] The device sends data to the emotion engine to analyze the user's emotional state. For example, when a user looks at a vase, the emotion engine reads the user's emotions from their facial expressions and tone of voice and determines that the user is "interested."

[0754] Optimized display in virtual space

[0755] The device receives the analysis results of the emotion engine and feeds them back to the virtual reality device, allowing objects that are likely to interest the user to stand out. It also recommends objects according to specific emotional states.

[0756] Data storage and transmission

[0757] The 3D model data selected by the user (e.g., flower_vase.fbx) is saved on the device, after which the device connects to the server and sends the data to the server using an HTTP POST request.

[0758] Data transformation with generative AI

[0759] The server saves the received 3D model data and inputs it into the generation AI. The prompt text is "Please convert the 3D model data flower_vase.fbx to .stl format." The generation AI automatically converts it to the specified format and generates an .stl file.

[0760] Sending data to a 3D printing device

[0761] The server sends the converted .stl file to the 3D printing device by connecting to the device's API endpoint and sending the data via an HTTP POST request.

[0762] Physical object creation and notification

[0763] The 3D printing device parses the received .stl file and registers it as a print job. The print job is executed and the object is built layer by layer. After printing is complete, the 3D printing device sends a completion notification to the server, which notifies the user. The user confirms the notification and receives the completed physical object from the 3D printing device.

[0764] Specific examples

[0765] For example, if User A finds a vase (flower_vase) in the virtual reality space and selects it, the emotion engine determines User A's emotional state from his / her facial expressions and voice. Based on the results, the display of objects and recommendations in the virtual space are optimized. The selected flower_vase.fbx is sent from the device to the server, where it is automatically converted to flower_vase.stl by the generation AI. After conversion, flower_vase.stl is sent to the 3D printing device, which outputs a physical vase. Finally, User A can obtain the finished vase from the 3D printer.

[0766] The system allows for objects found in virtual reality to be quickly materialized in physical form, taking into account the user's emotional state.

[0767] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0768] Step 1:

[0769] User

[0770] The user wears a virtual reality device and explores the virtual space. During this process, the device collects data such as the user's facial expressions, voice, and movements. This data is then transmitted to the device in real time via sensors and microphones.

[0771] Input: User's facial expression, voice, and movement data

[0772] Output: Real-time data transfer to the device

[0773] Step 2:

[0774] Terminal

[0775] The user data transmitted from the virtual reality device is received and sent to the emotion engine. The emotion engine analyzes the received data and determines the user's emotional state. For example, if the user is smiling, it determines "joy."

[0776] Input: User's facial expression, voice, and movement data

[0777] Output: Emotional state data from the emotion engine

[0778] Step 3:

[0779] Terminal

[0780] The analysis results of the emotion engine are received and fed back to the virtual reality device. This allows objects that are likely to interest the user to be displayed prominently. For example, if the user is in a "surprised" state, objects that match that emotion will be recommended preferentially.

[0781] Input: Emotional state data

[0782] Output: Optimizing the display of objects in virtual reality devices

[0783] Step 4:

[0784] User

[0785] The user selects a 3D object in the virtual space that interests them. For example, the user clicks on a vase to select it. The selection information is sent to the device.

[0786] Input: Selected object information (e.g. flower_vase.fbx)

[0787] Output: Sending object selection information to the terminal

[0788] Step 5:

[0789] Terminal

[0790] The selected 3D model data (e.g., flower_vase.fbx) is temporarily saved in local storage, and then sent to the server using an HTTP POST request.

[0791] Input: Selected 3D model data

[0792] Output: Send data to the server

[0793] Step 6:

[0794] server

[0795] The received 3D model data is saved and input to the generation AI. The prompt text is "Please convert the 3D model data flower_vase.fbx to .stl format." The generation AI converts the data to the specified format and generates an .stl file.

[0796] Input: 3D model data, prompt text

[0797] Output: Converted .stl file

[0798] Step 7:

[0799] server

[0800] To send the converted .stl file to the 3D printing device, an HTTP POST request is sent to the device's API endpoint. If the transfer is successful, the server records the transfer result in a log.

[0801] Input: Converted .stl file

[0802] Output: Sending data to a 3D printing device

[0803] Step 8:

[0804] three dimensional printing equipment

[0805] The received .stl file is parsed and registered as a print job. The control software automatically configures the 3D printer to use the material to build the object layer by layer.

[0806] Input: .stl file

[0807] Output: Physical object generation

[0808] Step 9:

[0809] three dimensional printing equipment

[0810] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes details of the print result and the status.

[0811] Input: None (Printing completed)

[0812] Output: Print completion notification to the server

[0813] Step 10:

[0814] server

[0815] A print completion notification is received and the completion notification is reported to the user via email or application notification.

[0816] Input: Print completion notification

[0817] Output: User notification

[0818] Step 11:

[0819] User

[0820] Confirm the notification and receive the completed physical object from the 3D printing machine.

[0821] Input: Completion notification

[0822] Output: Receives a physical object

[0823] (Application example 2)

[0824] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0825] In virtual reality experiences, there is a lack of efficient and fast ways for users to obtain items they are interested in in the real world. Furthermore, there is a lack of optimal item recommendations based on the user's emotional state, making it difficult to improve the quality of the user experience.

[0826] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0827] In this invention, the server includes means for acquiring 3D model data from a virtual reality device, means for using generative artificial intelligence to convert the 3D model data into another format, means for transmitting the converted 3D model data to a 3D printing device, means for analyzing a user's emotional state, means for recommending an item based on the analyzed emotional state, and means for the user to select the recommended item, thereby enabling the recommendation of an optimal item based on the user's emotional state and enabling the selected item to be quickly obtained in the real world.

[0828] A "virtual reality device" is an electronic device that allows a user to visually and sensorily experience a virtual space.

[0829] "Three-dimensional model data" is digital data that represents the shape and structure of an object in three-dimensional space.

[0830] "Generative AI" is AI that has the ability to create new data based on specific input data.

[0831] A "3D printing device" is a machine for building physical three-dimensional objects from digital data.

[0832] "Means for analyzing emotional state" refers to a method for inferring a user's emotions by analyzing data such as the user's facial expressions, voice, and movements.

[0833] "Means for recommending items" refers to a method for selecting and presenting products and services that are likely to interest the user.

[0834] The "means of user selection" refers to the method by which a user selects a particular object or service from the presented options.

[0835] This invention is realized by a system consisting of a virtual reality device, a terminal, a server, a 3D printing device, and an emotion engine. The system allows a user to use the virtual reality device to explore a virtual space, select a 3D object of interest, and physically obtain that object in the real world.

[0836] System configuration

[0837] 1. Virtual reality devices:

[0838] A device (e.g., Oculus Rift) is used to allow users to visually and sensorily experience a virtual space. Data such as the user's facial expressions, movements, and voice are collected from this device.

[0839] 2. Emotion Engine:

[0840] The emotion engine analyzes the user's facial expressions, voice, and movements in real time to determine their emotional state (e.g., using Affectiva SDK). Based on the analyzed emotional state, product recommendations are made.

[0841] 3. Terminal:

[0842] The device receives data from the emotion engine and the virtual reality device and performs appropriate processing. The emotional state data from the emotion engine is reflected in the virtual reality device, and objects that interest the user are displayed prominently. The device also sends the 3D model data (e.g., flower_vase.fbx) selected by the user to the server.

[0843] 4. Server:

[0844] The server receives the 3D model data sent from the device and converts it into an appropriate format (e.g., .stl) using a generative AI (e.g., a generative AI model). The converted data is then sent to the 3D printing device.

[0845] 5. Three-dimensional printing equipment:

[0846] The 3D printing device (e.g. Ultimaker S5) parses the .stl file sent from the server and uses the materials to build a physical object layer by layer, and the user can finally receive the finished item from the 3D printing device.

[0847] Specific examples

[0848] For example, a user finds a vase (flower_vase) in a virtual reality space and selects it. At this time, the emotion engine determines the user's emotional state from their facial expressions and voice, and the display and recommendations of objects are optimized based on the results. The user-selected flower_vase.fbx is sent from the device to the server, where it is automatically converted to flower_vase.stl by the generation AI. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, the user can obtain the finished vase from the 3D printer.

[0849] Prompt Sentence Examples

[0850] Analyze the facial expressions and movement data of users using a VR device and recommend the best products for them. When the user selects a recommended product, obtain the 3D model data of that product and convert it into STL format using generative AI. Implement the process of sending the converted data to a 3D printer to create a physical object.

[0851] This system allows users to receive recommendations for optimal items based on their emotional state and quickly acquire items selected in the virtual space in the real world.

[0852] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0853] Step 1:

[0854] A user explores a virtual space using a virtual reality device. Input data, such as the user's facial expressions, voice, and movements, are acquired from the virtual reality device. This data becomes the input for the system. The output is the user's search results. This also includes the user's action of selecting a 3D object that interests them.

[0855] Step 2:

[0856] The terminal transmits the acquired data to the emotion engine to analyze the emotional state. The emotion engine analyzes the user's facial expression, voice, and movement data to determine the user's emotional state. Data from the virtual reality device is used as input, and the analyzed emotional state is obtained as output.

[0857] Step 3:

[0858] The terminal receives the emotional state data from the emotion engine and recommends products based on the analyzed emotional state. The emotional state data is used as input, and a list of recommended products is obtained as output. In specific operations, a product recommendation algorithm related to the emotional state is executed.

[0859] Step 4:

[0860] The user selects an object that they are likely to be interested in from the recommended items. The input is a list of recommended items, and the output is the item selected by the user (e.g., flower_vase.fbx).

[0861] Step 5:

[0862] The terminal obtains the 3D model data selected by the user and sends it to the server. The selected 3D model data is used as input, and this data is sent to the server as output. Specifically, an HTTP POST request is executed.

[0863] Step 6:

[0864] The server receives and stores the 3D model data sent from the device. The data is then input into the generative AI model and converted into the appropriate file format (e.g., .stl). The 3D model data and the generative AI model are used as input, and the converted data is obtained as output. Specifically, the generative AI converts the file format.

[0865] Step 7:

[0866] The server sends the converted file to the 3D printing device. The converted data (e.g., flower_vase.stl) is used as input, and the output is sent to the 3D printing device. Specifically, the data is sent using an HTTP POST request.

[0867] Step 8:

[0868] The 3D printing device parses the received .stl file and registers it as a print job. The input is the received data (.stl file) and the output is the executed print job. The specific operation is to automatically set up the printing process and produce a physical object.

[0869] Step 9:

[0870] When the 3D printing device completes printing, it sends a notification to the server. The input is the print completion status, and the output is a completion notification sent to the server. The specific operation is to send a notification to the server that includes the completion status and result details.

[0871] Step 10:

[0872] The server receives a completion notification from the 3D printing device and transmits it to the user. The completion notification is used as input, and a notification (email or in-application notification) is sent to the user as output. The user checks the notification and receives the completed item from the 3D printing device.

[0873] 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.

[0874] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[0875] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0876] [Third embodiment]

[0877] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0878] 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.

[0879] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0880] 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.

[0881] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0882] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0883] 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.

[0884] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0885] 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 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.

[0886] 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.

[0887] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0888] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0889] System configuration

[0890] The system of the present invention comprises a virtual reality device, a terminal, a server, and a 3D printing device. The virtual reality device allows a user to manipulate and select a 3D object in a virtual space, and the selected 3D model data is sent to the server via the terminal. The server receives this data and converts it into an appropriate file format using generative artificial intelligence. The converted data is then sent to the 3D printing device, where a physical object is generated.

[0891] Program processing

[0892] 1. Data acquisition from virtual reality devices

[0893] User

[0894] The user selects a 3D object they see in the virtual space using the virtual reality device, and the object data (e.g., flower_vase.fbx) is transmitted from the virtual reality device to the terminal.

[0895] Terminal

[0896] The device temporarily stores the 3D model data received from the virtual reality device. The device then connects to the server via the Internet and sends the stored data to the server. This process uses an HTTP POST request.

[0897] 2. Conversion of 3D model data

[0898] server

[0899] The server receives the 3D model data (e.g., flower_vase.fbx) sent from the terminal and saves the data to disk.

[0900] server

[0901] The server provides the stored data as input to the AI ​​generator, which then analyzes the data and automatically converts it into the appropriate file format (e.g., flower_vase.stl). This conversion process is completed within a few seconds to a few minutes.

[0902] 3. Sending the converted data

[0903] server

[0904] The server connects to the API endpoint of the 3D printing device to send the converted file to the 3D printing device. After connecting to the endpoint, it sends the conversion data via an HTTP POST request.

[0905] 4. Creating Physical Objects

[0906] three dimensional printing equipment

[0907] The 3D printing device receives the .stl file sent from the server and registers it as a print job. The printer's control software parses the data and prepares it for printing.

[0908] three dimensional printing equipment

[0909] When a print job is initiated, nozzles within the device begin using material to build a physical object, and once the printing process is complete, the 3D printing device sends a print completion notification to the server.

[0910] User

[0911] Upon receiving a notification from the server, the user can retrieve the generated physical object from the three-dimensional printing device.

[0912] Specific examples

[0913] For example, User A finds a vase (flower_vase) in a shop in the virtual reality space and selects it. This information is transmitted to the device, which then sends flower_vase.fbx to the server. The server then uses generative AI to convert flower_vase.fbx to flower_vase.stl. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, User A can obtain a physical vase from the 3D printer.

[0914] This system allows users to easily materialize objects they find in virtual reality into the real world.

[0915] The processing flow will be explained below.

[0916] Step 1:

[0917] User

[0918] The user uses the virtual reality device to explore the virtual space and find the 3D object they want. By selecting this object, the 3D model data of that object (e.g., flower_vase.fbx) is saved in the virtual reality device.

[0919] Step 2:

[0920] Terminal

[0921] The device acquires the 3D model data from the virtual reality device and temporarily stores it. The acquired data is stored in the device's storage in a file format (e.g., .fbx).

[0922] Step 3:

[0923] Terminal

[0924] The device transmits the stored 3D model data to the server via the Internet using an HTTP POST request, and the data is sent to the server in the appropriate encoding format.

[0925] Step 4:

[0926] server

[0927] The server receives the HTTP request and retrieves the transferred data (e.g., flower_vase.fbx). The received data is saved in a specific directory on the server.

[0928] Step 5:

[0929] server

[0930] The server provides the stored 3D model data to a generative artificial intelligence (Generative AI), which analyzes the received .fbx file and converts it into the appropriate file format for the 3D printing device (e.g., .stl).

[0931] Step 6:

[0932] server

[0933] The converted data (e.g., flower_vase.stl) is stored again on the server, which then prepares it for transmission to the 3D printing device.

[0934] Step 7:

[0935] server

[0936] The server sends the converted data to the 3D printing device's API endpoint using an HTTP POST request, including encoding to ensure data accuracy.

[0937] Step 8:

[0938] three dimensional printing equipment

[0939] The 3D printing device parses the received .stl file and registers the print job. The device's control software uses the data to configure the printing process.

[0940] Step 9:

[0941] three dimensional printing equipment

[0942] The 3D printing machine initiates a print job, building a physical object (e.g., a vase) with material. The nozzle moves, building up layers to form the data-driven object.

[0943] Step 10:

[0944] three dimensional printing equipment

[0945] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes the completion status and details of the printing process.

[0946] Step 11:

[0947] server

[0948] The server receives notifications from the 3D printing device and transmits the information to the user via email, in-app notifications, and other methods.

[0949] Step 12:

[0950] User

[0951] The user confirms the notification from the server, accesses the 3D printing device, and removes the completed physical object (a vase) from the device, ready for use.

[0952] This detailed processing flow allows the user to easily and quickly materialize a three-dimensional object found in a virtual space in the real world.

[0953] Example 1

[0954] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0955] Conventional 3D printing technology has made it difficult for users to smoothly materialize objects selected in virtual reality in the real world. In particular, the process of converting 3D model data acquired from a virtual reality device into an appropriate file format and then accurately printing it on a 3D printing device is cumbersome and time-consuming. Furthermore, there are limited means by which users can easily bring objects they find in virtual reality into the real world.

[0956] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0957] In this invention, the server includes means for acquiring 3D model data from a virtual reality device, means for temporarily storing the 3D model data, means for transmitting the 3D model data to the server, means for storing the 3D model data on a disk, means for using a generative AI model to convert the 3D model data into another format, means for transmitting the 3D model data converted into the other format to a 3D printing device, means for the 3D printing device to print the converted 3D model data, and means for notifying that the printing is complete. This makes it possible to easily materialize a 3D object selected in virtual reality in the real world.

[0958] A "virtual reality device" is a device that allows a user to manipulate and select three-dimensional objects in a virtual space.

[0959] "Three-dimensional model data" is digital data for representing the shape and structure of a three-dimensional object.

[0960] "Temporary storage" is a storage operation for temporarily storing data.

[0961] A "server" is a computer system for storing, processing, and distributing data over a network.

[0962] A "generative AI model" is an artificial intelligence model that uses machine learning algorithms to analyze input data and generate specific outputs.

[0963] "Conversion" is the process of changing data into another form or format.

[0964] A "3D printing device" is a device for generating physical three-dimensional objects using digital data.

[0965] A "print job" is an individual printing operation performed by a three-dimensional printing device.

[0966] A "disk" is a storage device for permanent or long-term storage of data.

[0967] An "API endpoint" is an interface for using functions between programs.

[0968] An "HTTP POST request" is a communication method for sending data to a server over the Internet.

[0969] A "notification" is a communication that notifies of a particular event or state change.

[0970] MODE FOR CARRYING OUT THE INVENTION

[0971] The present invention relates to a system comprising a virtual reality device, a terminal, a server, and a three-dimensional printing device, for realizing a three-dimensional object selected in a virtual reality space in the real world.

[0972] Virtual reality device

[0973] The user selects a three-dimensional object in the virtual space using a virtual reality device. The virtual reality device consists of a headset worn on the head and a controller for operating it. When the user selects a three-dimensional object (e.g., flower_vase) in the virtual space, the information is sent to the terminal.

[0974] Terminal

[0975] The device receives the 3D model data sent from the virtual reality device and stores it in temporary storage (e.g., RAM).The device then connects to the server over the Internet and sends the 3D model data to the server using an HTTP POST request.The device communicates using an appropriate network library (e.g., cURL).

[0976] server

[0977] The server receives the 3D model data (e.g., flower_vase.fbx) sent from the device and saves it to disk (e.g., SSD). The server then analyzes the data using a generative AI model and converts it into an appropriate file format (e.g., flower_vase.stl). This generative AI model runs on a machine learning framework such as TensorFlow. After conversion, the server saves the converted file back to disk.

[0978] The server then connects to the API endpoint of the 3D printing device and sends the converted data to the 3D printing device using an HTTP POST request.

[0979] three dimensional printing equipment

[0980] The 3D printing device receives the .stl file sent from the server and registers it as a print job. The control software (e.g., PrusaSlicer) analyzes this data and begins preparations for printing. Once the print job begins, the nozzles in the device begin using material (e.g., PLA filament) to build the physical object. Once the printing process is complete, the 3D printing device sends a print completion notification to the server.

[0981] User

[0982] The user receives a notification from the server and can retrieve the physical object created from the 3D printing device, allowing them to hold the object selected in the virtual space in the real world.

[0983] Specific examples

[0984] For example, User A finds a vase (flower_vase) in a shop in the virtual reality space and selects it. This information is transmitted to the device, which then sends flower_vase.fbx to the server. The server then uses a generative AI model to convert flower_vase.fbx to flower_vase.stl. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, User A can take the physical vase out of the 3D printing device.

[0985] Prompt Sentence Examples

[0986] "Please convert the 3D model data flower_vase.fbx into .stl format."

[0987] This system allows users to easily materialize objects they find in virtual reality into the real world.

[0988] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0989] Step 1:

[0990] User

[0991] The user selects a 3D object in the virtual space using a virtual reality device. This operation is performed using a controller or gesture recognition, and 3D model data of the selected object (e.g., flower_vase.fbx) is generated.

[0992] Input: A user-selected 3D object

[0993] Output: 3D model data (flower_vase.fbx)

[0994] Step 2:

[0995] Terminal

[0996] The device receives 3D model data from the virtual reality device via wireless communication, stores the received data in temporary storage, and prepares to connect to the server via the Internet.

[0997] Input: 3D model data (flower_vase.fbx)

[0998] Output: Data saved in temporary storage

[0999] Step 3:

[1000] Terminal

[1001] The terminal connects to the server via the Internet and sends the 3D model data using an HTTP POST request. The network library (e.g., cURL) used for this is appropriately configured.

[1002] Input: 3D model data stored in temporary storage

[1003] Output: Data sent to the server

[1004] Step 4:

[1005] server

[1006] The server receives the HTTP POST request, saves the submitted 3D model data to disk, and then provides the saved data as input to the generative AI model.

[1007] Input: Submitted 3D model data (flower_vase.fbx)

[1008] Output: Data saved to disk

[1009] Step 5:

[1010] Generative AI Models

[1011] The generative AI model analyzes the input 3D model data and converts it into an appropriate file format (e.g., flower_vase.stl). This conversion process uses a machine learning framework such as TensorFlow.

[1012] Input: 3D model data (flower_vase.fbx)

[1013] Output: Converted file (flower_vase.stl)

[1014] Step 6:

[1015] server

[1016] The server verifies the converted data output by the generative AI model and saves it back to disk. It then connects to the API endpoint of the 3D printing device and sends the converted data via an HTTP POST request.

[1017] Input: Converted file (flower_vase.stl)

[1018] Output: Data sent to the 3D printing device

[1019] Step 7:

[1020] three dimensional printing equipment

[1021] The 3D printing device receives the .stl file sent from the server and registers it as a print job. The control software (e.g., PrusaSlicer) analyzes the data and prepares it for printing.

[1022] Input: Received .stl file

[1023] Output: Submitting a print job

[1024] Step 8:

[1025] three dimensional printing equipment

[1026] When a print job is initiated, the nozzle of the 3D printer begins building the specified shape layer by layer with material. When printing is complete, the 3D printer sends a print completion notification to the server.

[1027] Input: print job

[1028] Output: physical object and print completion notification

[1029] Step 9:

[1030] server

[1031] The server receives a print completion notification from the three-dimensional printing device and notifies the user.

[1032] Input: Print completion notification

[1033] Output: User notification

[1034] Step 10:

[1035] User

[1036] The user receives a notification from the server and can retrieve the generated physical object from the 3D printing device.

[1037] Input: Notification from the server

[1038] Output: Physical object capture

[1039] (Application example 1)

[1040] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1041] With conventional 3D printing technology, it was difficult for users to output designs selected in virtual reality space as physical objects. Furthermore, it was cumbersome for users to smoothly bring customized 3D model data to the printing stage, and there was no way to receive notification when printing was complete. This resulted in a poor user experience and prevented widespread adoption.

[1042] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1043] In this invention, the server includes means for acquiring 3D model data from a virtual reality device, means including a user interface for customizing the 3D model data, means using generative artificial intelligence to convert the customized 3D model data into another format, means for transmitting the converted 3D model data to a 3D printing device, and means for notifying a user after the 3D printing device completes a print job, thereby enabling a user to easily output a design selected and customized in a virtual reality space as a physical object and receive a notification of print completion.

[1044] A "virtual reality device" is a device that allows a user to view and manipulate three-dimensional objects in a virtual space.

[1045] "Three-dimensional model data" refers to data that includes coordinates, shape, color, and texture information in three-dimensional space.

[1046] The "user interface" is an operation screen that allows the user to interact with the system and customize the three-dimensional model data.

[1047] "Generative AI" is an AI technology that has the ability to automatically convert input data into another format.

[1048] A "3D printing device" is a device that generates physical objects based on 3D model data.

[1049] A "print job" is an operation performed by a three-dimensional printing device to generate an object based on specific three-dimensional model data.

[1050] A "notification" is a message sent from the system to inform the user of a status or result.

[1051] The present invention is realized by a system comprising a virtual reality device, a terminal, a server, and a three-dimensional printing device, in which a user selects and customizes a three-dimensional object in a virtual space and outputs it as a physical object.

[1052] First, a user enters a virtual space using a virtual reality device, and can view and manipulate various three-dimensional objects. The virtual reality device, such as a VR headset, allows the user to freely explore the three-dimensional space using natural movements. When the user selects a three-dimensional object they like, its model data is sent from the virtual reality device to the terminal.

[1053] The terminal then temporarily stores the received 3D model data and customizes it through a user interface, which the user uses to change the color and shape of the model data. Once customized, the model data is sent from the terminal to the server.

[1054] The server receives the customized 3D model data sent from the device and uses generative AI to analyze the data and convert it to another file format. Specifically, if the original file format is fbx, for example, it converts it to stl format. This conversion process uses a generative AI model and is given the prompt, "Convert the fbx file to an STL file. Use the following byte data." The required data is provided as a <byte array of data>.

[1055] The converted data is sent from the server to the 3D printing device, which uses the received STL file to generate a physical object. The 3D printing device analyzes the print job, makes any necessary preparations, and then starts the printing process.

[1056] Finally, when the print job is complete, the 3D printing device sends a print completion notification to the server, which then sends a print completion message to the user, allowing the user to pick up the completed physical object at a specified location.

[1057] For example, a user can select a cup design in a virtual reality space and customize its color and shape. The customized data is then sent to a server, where it is converted into STL format using a generative AI model. The converted data is then sent to a 3D printing device, which finally prints the physical cup and notifies the user.

[1058] The above is an embodiment of the present invention. This system allows a user to easily obtain an object found in a virtual reality space in a physical form.

[1059] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1060] Step 1:

[1061] A user enters a virtual space using a virtual reality device and selects a 3D object. The virtual reality device acquires the selected 3D model data and sends it to a terminal. The input is the user's selection action, and the output is the 3D model data. This 3D model data is, for example, data in the fbx file format.

[1062] Step 2:

[1063] The terminal temporarily stores the 3D model data received from the virtual reality device. Next, the user customizes the model data through the user interface. The input is the 3D model data received from the virtual reality device and the user's customization operations, and the output is customized 3D model data, which reflects color and shape changes.

[1064] Step 3:

[1065] The terminal sends customized 3D model data to the server. The input is the customized 3D model data, and the output is the data sent to the server. The transmission is performed using an HTTP POST request.

[1066] Step 4:

[1067] The server saves the received customized 3D model data to disk. Then, it provides the saved data as input to the generative AI model and converts the data into another file format. The input is the customized 3D model data, and the output is the converted file data. Specifically, the following prompt is used:

[1068] Convert the fbx file to an STL file using the following byte data:

[1069] <byte array of data>

[1070] Generative AI models analyze and transform data.

[1071] Step 5:

[1072] The server sends the converted file to the 3D printing device. The input is the converted file data, and the output is the data to be sent to the 3D printing device. The transmission is done using an HTTP POST request.

[1073] Step 6:

[1074] The 3D printing device analyzes the received converted file data and registers it as a print job. The input is the converted file data, and the output is the preparation of the print job. Nozzle and material settings are made.

[1075] Step 7:

[1076] The 3D printing device initiates the printing process to produce a physical object. The input is the print job data, and the output is the completed physical object. Once the printing process is complete, the 3D printing device sends a print completion notification to the server.

[1077] Step 8:

[1078] The server receives the print completion notification and sends a message to the user. The input is the notification from the 3D printing device, and the output is the notification message to the user. The user can receive this message and pick up the physical object at the specified location.

[1079] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1080] System configuration

[1081] The system of the present invention comprises a virtual reality device, a terminal, a server, a 3D printing device, and an emotion engine. The emotion engine analyzes the user's facial expressions, voice, and movements to determine their emotional state, and actively influences the virtual reality device and the 3D model data selected. When the user selects an object in the virtual space, the selection is optimized based on the analysis results of the emotion engine.

[1082] Program processing

[1083] 1. Data acquisition from virtual reality device and analysis of emotional state

[1084] User

[1085] The user uses the virtual reality device to explore the virtual space and select three-dimensional objects that interest them, while the emotion engine simultaneously analyzes the user's facial expressions, voice, and movements in real time to determine their emotional state.

[1086] 2. Selection support using an emotion engine

[1087] Terminal

[1088] The device receives emotional state data from the emotion engine and reflects it in the virtual reality device, which then displays objects that are likely to interest the user more prominently or recommends objects that match the user's specific emotional state.

[1089] 3. Handling 3D model data

[1090] Terminal

[1091] The device saves the selected 3D model data (e.g., flower_vase.fbx) in temporary storage. Then, the device connects to the server via the Internet and sends the saved data to the server using an HTTP POST request.

[1092] 4. Data Conversion

[1093] server

[1094] The server receives the 3D model data sent from the device (e.g., flower_vase.fbx) and saves it to disk. This data is then input into the generation AI, which automatically converts it to the appropriate file format (e.g., .stl). The converted data is then resaved.

[1095] 5. Sending the converted data

[1096] server

[1097] The server connects to the device's API endpoint to send the converted file to the 3D printing device, sending the conversion data to the endpoint using an HTTP POST request.

[1098] 6. Creating Physical Objects

[1099] three dimensional printing equipment

[1100] The 3D printing device parses the received .stl file and registers it as a print job. The device's control software uses the data to configure the printing process. The print job is executed, and the object is built layer by layer using material.

[1101] 7. Completion notification and receipt

[1102] three dimensional printing equipment

[1103] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes details of the print result and the status.

[1104] server

[1105] The server receives notifications from the 3D printing device and transmits them to the user, possibly via email or in-application notification.

[1106] User

[1107] The user confirms the notification from the server and accesses the 3D printing device to receive the completed physical object (e.g., a vase).

[1108] Specific examples

[1109] For example, User A finds a vase (flower_vase) in the virtual reality space and selects it. At this time, the emotion engine determines User A's emotional state from his / her facial expressions, voice, etc., and optimizes the display and recommendations of objects based on the results. The user-selected flower_vase.fbx is sent from the device to the server, where it is automatically converted to flower_vase.stl by the generation AI. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, User A can obtain the finished vase from the 3D printer.

[1110] This system allows for objects found in virtual reality to be easily and quickly materialized in the real world, taking into account the user's emotional state.

[1111] The processing flow will be explained below.

[1112] Step 1:

[1113] User

[1114] The user uses the virtual reality device to explore the virtual space and find three-dimensional objects that interest them, while the virtual reality device is equipped with an emotion engine that detects the user's facial expressions, voice, and movements.

[1115] Step 2:

[1116] Terminal

[1117] The device receives the user's emotional state data from the emotion engine. For example, the device analyzes the user's state of surprise, joy, etc. in real time and sends that information to the device.

[1118] Step 3:

[1119] Terminal

[1120] The device dynamically adjusts the type and placement of 3D objects displayed on the virtual reality device based on the emotional state data. For example, if the user is excited, more attractive objects will be displayed prominently.

[1121] Step 4:

[1122] User

[1123] The user selects a 3D object from the optimized display, and this selection information (e.g., flower_vase.fbx) is transmitted from the virtual reality device to the terminal.

[1124] Step 5:

[1125] Terminal

[1126] The device saves the selected 3D model data (e.g., flower_vase.fbx) in temporary storage. The device then connects to the server via the Internet and sends the saved file to the server using an HTTP POST request.

[1127] Step 6:

[1128] server

[1129] The server receives the three-dimensional model data (e.g., flower_vase.fbx) sent from the terminal and stores the data in a specific directory on the server.

[1130] Step 7:

[1131] server

[1132] The server provides the stored data to the generation AI, which analyzes the data and automatically converts it into the appropriate file format (e.g., .stl), which is then saved to disk.

[1133] Step 8:

[1134] server

[1135] The server sends the converted file (e.g., flower_vase.stl) to the API endpoint of the 3D printing device, again using an HTTP POST request.

[1136] Step 9:

[1137] three dimensional printing equipment

[1138] The 3D printing device parses the received .stl file and registers it in the print job. The control software configures it and starts the printing process based on the data.

[1139] Step 10:

[1140] three dimensional printing equipment

[1141] The 3D printing machine executes the print job, using material to build a physical object (e.g., a vase). The nozzle moves and deposits material layer by layer until the object is formed.

[1142] Step 11:

[1143] three dimensional printing equipment

[1144] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes detailed status of the print.

[1145] Step 12:

[1146] server

[1147] The server receives notifications from the 3D printing device and communicates the information to the user via email or in-app notifications.

[1148] Step 13:

[1149] User

[1150] The user confirms the notification from the server and accesses the 3D printing device, where they can remove the completed physical object (e.g., a vase) from the device and use it in the real world.

[1151] This detailed processing flow enables the user to easily and quickly materialize a three-dimensional object selected in a virtual space in the real world, while the emotion engine optimizes the display and selection process.

[1152] Example 2

[1153] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1154] Virtual reality technology is currently being used in a variety of fields, but object selection and recommendation systems have not yet taken into account the user's emotional state. Furthermore, the process of physically realizing a three-dimensional object selected in a virtual space is complex and time-consuming. Therefore, there is a need for a system that can smoothly and quickly select objects that reflect the user's emotional state and generate real objects from the virtual space.

[1155] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1156] In this invention, the server includes means for acquiring data including a user's emotional state from a virtual reality device, means for analyzing the emotional state and recommending a three-dimensional object that is optimal for the user, means for saving the three-dimensional object as three-dimensional model data and transmitting it to the server, means for converting the three-dimensional model data into another format using generative artificial intelligence, means for transmitting the converted three-dimensional model data to a three-dimensional printing device, and means for generating a physical object with the three-dimensional printing device and notifying the user of its completion. This enables optimal object selection based on the user's emotional state and further enables the object selected in the virtual space to be quickly physically realized.

[1157] A "virtual reality device" is a device that allows users to explore and interact with a virtual space, and is equipped with sensors that detect vision, hearing, and physical movements.

[1158] "Emotional state" is information that indicates the user's current psychological state, obtained by analyzing data such as the user's facial expression, voice, and movements.

[1159] A "three-dimensional object" is digital data having a three-dimensional shape that a user selects or focuses on in a virtual space.

[1160] "3D model data" is file data that digitally represents a 3D object. Examples include file formats such as .fbx and .stl.

[1161] "Generative artificial intelligence" is a system that utilizes machine learning models to generate output data (in this case, format conversion of three-dimensional model data) according to a purpose based on specific input data.

[1162] A "3D printing device" is a device that builds and generates physical objects layer by layer from digital 3D data.

[1163] "Recommendation" is the process of presenting or recommending the most suitable three-dimensional object based on the user's emotional state and behavior.

[1164] "Conversion" is the process of automatically converting data from one format to another. In this context, it refers to the process of converting 3D model data into a different file format.

[1165] A "prompt statement" is an instruction given to the generating AI, and is input information for performing a specific action (in this case, converting the format of three-dimensional model data).

[1166] "Notification" is the process by which the system provides information to the user to inform them of a specific event (such as the completion of three-dimensional printing).

[1167] The present invention is a system consisting of a virtual reality device, a terminal, a server, a 3D printing device, and an emotion engine. The emotion engine analyzes the user's facial expressions, voice, and movements to determine their emotional state, and actively influences the virtual reality device and the selected 3D model data.

[1168] When a user selects an object in the virtual space, the selection is optimized based on the analysis results of the emotion engine. A specific embodiment of this system will be described below.

[1169] Hardware and software used

[1170] The main hardware and software used in this system are as follows:

[1171] 1. Virtual Reality Devices (VR Devices)

[1172] 2. Emotion Engine (machine learning model)

[1173] 3. Terminal (PC or mobile device)

[1174] 4. Server (data processing and generation AI execution environment)

[1175] 5. Three-dimensional printing device (3D printer)

[1176] Data processing and calculation flow

[1177] User interaction and data acquisition

[1178] The user explores the virtual space using a virtual reality device. The virtual reality device detects the user's facial expressions, voice, and movements in real time. This data is then sent to the device.

[1179] Analysis by emotion engine

[1180] The device sends data to the emotion engine to analyze the user's emotional state. For example, when a user looks at a vase, the emotion engine reads the user's emotions from their facial expressions and tone of voice and determines that the user is "interested."

[1181] Optimized display in virtual space

[1182] The device receives the analysis results of the emotion engine and feeds them back to the virtual reality device, allowing objects that are likely to interest the user to stand out. It also recommends objects according to specific emotional states.

[1183] Data storage and transmission

[1184] The 3D model data selected by the user (e.g., flower_vase.fbx) is saved on the device, after which the device connects to the server and sends the data to the server using an HTTP POST request.

[1185] Data transformation with generative AI

[1186] The server saves the received 3D model data and inputs it into the generation AI. The prompt text is "Please convert the 3D model data flower_vase.fbx to .stl format." The generation AI automatically converts it to the specified format and generates an .stl file.

[1187] Sending data to a 3D printing device

[1188] The server sends the converted .stl file to the 3D printing device by connecting to the device's API endpoint and sending the data via an HTTP POST request.

[1189] Physical object creation and notification

[1190] The 3D printing device parses the received .stl file and registers it as a print job. The print job is executed and the object is built layer by layer. After printing is complete, the 3D printing device sends a completion notification to the server, which notifies the user. The user confirms the notification and receives the completed physical object from the 3D printing device.

[1191] Specific examples

[1192] For example, if User A finds a vase (flower_vase) in the virtual reality space and selects it, the emotion engine determines User A's emotional state from his / her facial expressions and voice. Based on the results, the display of objects and recommendations in the virtual space are optimized. The selected flower_vase.fbx is sent from the device to the server, where it is automatically converted to flower_vase.stl by the generation AI. After conversion, flower_vase.stl is sent to the 3D printing device, which outputs a physical vase. Finally, User A can obtain the finished vase from the 3D printer.

[1193] The system allows for objects found in virtual reality to be quickly materialized in physical form, taking into account the user's emotional state.

[1194] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1195] Step 1:

[1196] User

[1197] The user wears a virtual reality device and explores the virtual space. During this process, the device collects data such as the user's facial expressions, voice, and movements. This data is then transmitted to the device in real time via sensors and microphones.

[1198] Input: User's facial expression, voice, and movement data

[1199] Output: Real-time data transfer to the device

[1200] Step 2:

[1201] Terminal

[1202] The user data transmitted from the virtual reality device is received and sent to the emotion engine. The emotion engine analyzes the received data and determines the user's emotional state. For example, if the user is smiling, it determines "joy."

[1203] Input: User's facial expression, voice, and movement data

[1204] Output: Emotional state data from the emotion engine

[1205] Step 3:

[1206] Terminal

[1207] The analysis results of the emotion engine are received and fed back to the virtual reality device. This allows objects that are likely to interest the user to be displayed prominently. For example, if the user is in a "surprised" state, objects that match that emotion will be recommended preferentially.

[1208] Input: Emotional state data

[1209] Output: Optimizing the display of objects in virtual reality devices

[1210] Step 4:

[1211] User

[1212] The user selects a 3D object in the virtual space that interests them. For example, the user clicks on a vase to select it. The selection information is sent to the device.

[1213] Input: Selected object information (e.g. flower_vase.fbx)

[1214] Output: Sending object selection information to the terminal

[1215] Step 5:

[1216] Terminal

[1217] The selected 3D model data (e.g., flower_vase.fbx) is temporarily saved in local storage, and then sent to the server using an HTTP POST request.

[1218] Input: Selected 3D model data

[1219] Output: Send data to the server

[1220] Step 6:

[1221] server

[1222] The received 3D model data is saved and input to the generation AI. The prompt text is "Please convert the 3D model data flower_vase.fbx to .stl format." The generation AI converts the data to the specified format and generates an .stl file.

[1223] Input: 3D model data, prompt text

[1224] Output: Converted .stl file

[1225] Step 7:

[1226] server

[1227] To send the converted .stl file to the 3D printing device, an HTTP POST request is sent to the device's API endpoint. If the transfer is successful, the server records the transfer result in a log.

[1228] Input: Converted .stl file

[1229] Output: Sending data to a 3D printing device

[1230] Step 8:

[1231] three dimensional printing equipment

[1232] The received .stl file is parsed and registered as a print job. The control software automatically configures the 3D printer to use the material to build the object layer by layer.

[1233] Input: .stl file

[1234] Output: Physical object generation

[1235] Step 9:

[1236] three dimensional printing equipment

[1237] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes details of the print result and the status.

[1238] Input: None (Printing completed)

[1239] Output: Print completion notification to the server

[1240] Step 10:

[1241] server

[1242] A print completion notification is received and the completion notification is reported to the user via email or application notification.

[1243] Input: Print completion notification

[1244] Output: User notification

[1245] Step 11:

[1246] User

[1247] Confirm the notification and receive the completed physical object from the 3D printing machine.

[1248] Input: Completion notification

[1249] Output: Receives a physical object

[1250] (Application example 2)

[1251] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1252] In virtual reality experiences, there is a lack of efficient and fast ways for users to obtain items they are interested in in the real world. Furthermore, there is a lack of optimal item recommendations based on the user's emotional state, making it difficult to improve the quality of the user experience.

[1253] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1254] In this invention, the server includes means for acquiring 3D model data from a virtual reality device, means for using generative artificial intelligence to convert the 3D model data into another format, means for transmitting the converted 3D model data to a 3D printing device, means for analyzing a user's emotional state, means for recommending an item based on the analyzed emotional state, and means for the user to select the recommended item, thereby enabling the recommendation of an optimal item based on the user's emotional state and enabling the selected item to be quickly obtained in the real world.

[1255] A "virtual reality device" is an electronic device that allows a user to visually and sensorily experience a virtual space.

[1256] "Three-dimensional model data" is digital data that represents the shape and structure of an object in three-dimensional space.

[1257] "Generative AI" is AI that has the ability to create new data based on specific input data.

[1258] A "3D printing device" is a machine for building physical three-dimensional objects from digital data.

[1259] "Means for analyzing emotional state" refers to a method for inferring a user's emotions by analyzing data such as the user's facial expressions, voice, and movements.

[1260] "Means for recommending items" refers to a method for selecting and presenting products and services that are likely to interest the user.

[1261] The "means of user selection" refers to the method by which a user selects a particular object or service from the presented options.

[1262] This invention is realized by a system consisting of a virtual reality device, a terminal, a server, a 3D printing device, and an emotion engine. The system allows a user to use the virtual reality device to explore a virtual space, select a 3D object of interest, and physically obtain that object in the real world.

[1263] System configuration

[1264] 1. Virtual reality devices:

[1265] A device (e.g., Oculus Rift) is used to allow users to visually and sensorily experience a virtual space. Data such as the user's facial expressions, movements, and voice are collected from this device.

[1266] 2. Emotion Engine:

[1267] The emotion engine analyzes the user's facial expressions, voice, and movements in real time to determine their emotional state (e.g., using Affectiva SDK). Based on the analyzed emotional state, product recommendations are made.

[1268] 3. Terminal:

[1269] The device receives data from the emotion engine and the virtual reality device and performs appropriate processing. The emotional state data from the emotion engine is reflected in the virtual reality device, and objects that interest the user are displayed prominently. The device also sends the 3D model data (e.g., flower_vase.fbx) selected by the user to the server.

[1270] 4. Server:

[1271] The server receives the 3D model data sent from the device and converts it into an appropriate format (e.g., .stl) using a generative AI (e.g., a generative AI model). The converted data is then sent to the 3D printing device.

[1272] 5. Three-dimensional printing equipment:

[1273] The 3D printing device (e.g. Ultimaker S5) parses the .stl file sent from the server and uses the materials to build a physical object layer by layer, and the user can finally receive the finished item from the 3D printing device.

[1274] Specific examples

[1275] For example, a user finds a vase (flower_vase) in a virtual reality space and selects it. At this time, the emotion engine determines the user's emotional state from their facial expressions and voice, and the display and recommendations of objects are optimized based on the results. The user-selected flower_vase.fbx is sent from the device to the server, where it is automatically converted to flower_vase.stl by the generation AI. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, the user can obtain the finished vase from the 3D printer.

[1276] Prompt Sentence Examples

[1277] Analyze the facial expressions and movement data of users using a VR device and recommend the best products for them. When the user selects a recommended product, obtain the 3D model data of that product and convert it into STL format using generative AI. Implement the process of sending the converted data to a 3D printer to create a physical object.

[1278] This system allows users to receive recommendations for optimal items based on their emotional state and quickly acquire items selected in the virtual space in the real world.

[1279] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1280] Step 1:

[1281] A user explores a virtual space using a virtual reality device. Input data, such as the user's facial expressions, voice, and movements, are acquired from the virtual reality device. This data becomes the input for the system. The output is the user's search results. This also includes the user's action of selecting a 3D object that interests them.

[1282] Step 2:

[1283] The terminal transmits the acquired data to the emotion engine to analyze the emotional state. The emotion engine analyzes the user's facial expression, voice, and movement data to determine the user's emotional state. Data from the virtual reality device is used as input, and the analyzed emotional state is obtained as output.

[1284] Step 3:

[1285] The terminal receives the emotional state data from the emotion engine and recommends products based on the analyzed emotional state. The emotional state data is used as input, and a list of recommended products is obtained as output. In specific operations, a product recommendation algorithm related to the emotional state is executed.

[1286] Step 4:

[1287] The user selects an object that they are likely to be interested in from the recommended items. The input is a list of recommended items, and the output is the item selected by the user (e.g., flower_vase.fbx).

[1288] Step 5:

[1289] The terminal obtains the 3D model data selected by the user and sends it to the server. The selected 3D model data is used as input, and this data is sent to the server as output. Specifically, an HTTP POST request is executed.

[1290] Step 6:

[1291] The server receives and stores the 3D model data sent from the device. The data is then input into the generative AI model and converted into the appropriate file format (e.g., .stl). The 3D model data and the generative AI model are used as input, and the converted data is obtained as output. Specifically, the generative AI converts the file format.

[1292] Step 7:

[1293] The server sends the converted file to the 3D printing device. The converted data (e.g., flower_vase.stl) is used as input, and the output is sent to the 3D printing device. Specifically, the data is sent using an HTTP POST request.

[1294] Step 8:

[1295] The 3D printing device parses the received .stl file and registers it as a print job. The input is the received data (.stl file) and the output is the executed print job. The specific operation is to automatically set up the printing process and produce a physical object.

[1296] Step 9:

[1297] When the 3D printing device completes printing, it sends a notification to the server. The input is the print completion status, and the output is a completion notification sent to the server. The specific operation is to send a notification to the server that includes the completion status and result details.

[1298] Step 10:

[1299] The server receives a completion notification from the 3D printing device and transmits it to the user. The completion notification is used as input, and a notification (email or in-application notification) is sent to the user as output. The user checks the notification and receives the completed item from the 3D printing device.

[1300] 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.

[1301] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[1302] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1303] [Fourth embodiment]

[1304] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1305] 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.

[1306] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[1307] 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.

[1308] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1309] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1310] 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.

[1311] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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.

[1312] 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.

[1313] 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 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.

[1314] 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.

[1315] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1316] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1317] System configuration

[1318] The system of the present invention comprises a virtual reality device, a terminal, a server, and a 3D printing device. The virtual reality device allows a user to manipulate and select a 3D object in a virtual space, and the selected 3D model data is sent to the server via the terminal. The server receives this data and converts it into an appropriate file format using generative artificial intelligence. The converted data is then sent to the 3D printing device, where a physical object is generated.

[1319] Program processing

[1320] 1. Data acquisition from virtual reality devices

[1321] User

[1322] The user selects a 3D object they see in the virtual space using the virtual reality device, and the object data (e.g., flower_vase.fbx) is transmitted from the virtual reality device to the terminal.

[1323] Terminal

[1324] The device temporarily stores the 3D model data received from the virtual reality device. The device then connects to the server via the Internet and sends the stored data to the server. This process uses an HTTP POST request.

[1325] 2. Conversion of 3D model data

[1326] server

[1327] The server receives the 3D model data (e.g., flower_vase.fbx) sent from the terminal and saves the data to disk.

[1328] server

[1329] The server provides the stored data as input to the AI ​​generator, which then analyzes the data and automatically converts it into the appropriate file format (e.g., flower_vase.stl). This conversion process is completed within a few seconds to a few minutes.

[1330] 3. Sending the converted data

[1331] server

[1332] The server connects to the API endpoint of the 3D printing device to send the converted file to the 3D printing device. After connecting to the endpoint, it sends the conversion data via an HTTP POST request.

[1333] 4. Creating Physical Objects

[1334] three dimensional printing equipment

[1335] The 3D printing device receives the .stl file sent from the server and registers it as a print job. The printer's control software parses the data and prepares it for printing.

[1336] three dimensional printing equipment

[1337] When a print job is initiated, nozzles within the device begin using material to build a physical object, and once the printing process is complete, the 3D printing device sends a print completion notification to the server.

[1338] User

[1339] Upon receiving a notification from the server, the user can retrieve the generated physical object from the three-dimensional printing device.

[1340] Specific examples

[1341] For example, User A finds a vase (flower_vase) in a shop in the virtual reality space and selects it. This information is transmitted to the device, which then sends flower_vase.fbx to the server. The server then uses generative AI to convert flower_vase.fbx to flower_vase.stl. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, User A can obtain a physical vase from the 3D printer.

[1342] This system allows users to easily materialize objects they find in virtual reality into the real world.

[1343] The processing flow will be explained below.

[1344] Step 1:

[1345] User

[1346] The user uses the virtual reality device to explore the virtual space and find the 3D object they want. By selecting this object, the 3D model data of that object (e.g., flower_vase.fbx) is saved in the virtual reality device.

[1347] Step 2:

[1348] Terminal

[1349] The device acquires the 3D model data from the virtual reality device and temporarily stores it. The acquired data is stored in the device's storage in a file format (e.g., .fbx).

[1350] Step 3:

[1351] Terminal

[1352] The device transmits the stored 3D model data to the server via the Internet using an HTTP POST request, and the data is sent to the server in the appropriate encoding format.

[1353] Step 4:

[1354] server

[1355] The server receives the HTTP request and retrieves the transferred data (e.g., flower_vase.fbx). The received data is saved in a specific directory on the server.

[1356] Step 5:

[1357] server

[1358] The server provides the stored 3D model data to a generative artificial intelligence (Generative AI), which analyzes the received .fbx file and converts it into the appropriate file format for the 3D printing device (e.g., .stl).

[1359] Step 6:

[1360] server

[1361] The converted data (e.g., flower_vase.stl) is stored again on the server, which then prepares it for transmission to the 3D printing device.

[1362] Step 7:

[1363] server

[1364] The server sends the converted data to the 3D printing device's API endpoint using an HTTP POST request, including encoding to ensure data accuracy.

[1365] Step 8:

[1366] three dimensional printing equipment

[1367] The 3D printing device parses the received .stl file and registers the print job. The device's control software uses the data to configure the printing process.

[1368] Step 9:

[1369] three dimensional printing equipment

[1370] The 3D printing machine initiates a print job, building a physical object (e.g., a vase) with material. The nozzle moves, building up layers to form the data-driven object.

[1371] Step 10:

[1372] three dimensional printing equipment

[1373] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes the completion status and details of the printing process.

[1374] Step 11:

[1375] server

[1376] The server receives notifications from the 3D printing device and transmits the information to the user via email, in-app notifications, and other methods.

[1377] Step 12:

[1378] User

[1379] The user confirms the notification from the server, accesses the 3D printing device, and removes the completed physical object (a vase) from the device, ready for use.

[1380] This detailed processing flow allows the user to easily and quickly materialize a three-dimensional object found in a virtual space in the real world.

[1381] Example 1

[1382] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1383] Conventional 3D printing technology has made it difficult for users to smoothly materialize objects selected in virtual reality in the real world. In particular, the process of converting 3D model data acquired from a virtual reality device into an appropriate file format and then accurately printing it on a 3D printing device is cumbersome and time-consuming. Furthermore, there are limited means by which users can easily bring objects they find in virtual reality into the real world.

[1384] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1385] In this invention, the server includes means for acquiring 3D model data from a virtual reality device, means for temporarily storing the 3D model data, means for transmitting the 3D model data to the server, means for storing the 3D model data on a disk, means for using a generative AI model to convert the 3D model data into another format, means for transmitting the 3D model data converted into the other format to a 3D printing device, means for the 3D printing device to print the converted 3D model data, and means for notifying that the printing is complete. This makes it possible to easily materialize a 3D object selected in virtual reality in the real world.

[1386] A "virtual reality device" is a device that allows a user to manipulate and select three-dimensional objects in a virtual space.

[1387] "Three-dimensional model data" is digital data for representing the shape and structure of a three-dimensional object.

[1388] "Temporary storage" is a storage operation for temporarily storing data.

[1389] A "server" is a computer system for storing, processing, and distributing data over a network.

[1390] A "generative AI model" is an artificial intelligence model that uses machine learning algorithms to analyze input data and generate specific outputs.

[1391] "Conversion" is the process of changing data into another form or format.

[1392] A "3D printing device" is a device for generating physical three-dimensional objects using digital data.

[1393] A "print job" is an individual printing operation performed by a three-dimensional printing device.

[1394] A "disk" is a storage device for permanent or long-term storage of data.

[1395] An "API endpoint" is an interface for using functions between programs.

[1396] An "HTTP POST request" is a communication method for sending data to a server over the Internet.

[1397] A "notification" is a communication that notifies of a particular event or state change.

[1398] MODE FOR CARRYING OUT THE INVENTION

[1399] The present invention relates to a system comprising a virtual reality device, a terminal, a server, and a three-dimensional printing device, for realizing a three-dimensional object selected in a virtual reality space in the real world.

[1400] Virtual reality device

[1401] The user selects a three-dimensional object in the virtual space using a virtual reality device. The virtual reality device consists of a headset worn on the head and a controller for operating it. When the user selects a three-dimensional object (e.g., flower_vase) in the virtual space, the information is sent to the terminal.

[1402] Terminal

[1403] The device receives the 3D model data sent from the virtual reality device and stores it in temporary storage (e.g., RAM).The device then connects to the server over the Internet and sends the 3D model data to the server using an HTTP POST request.The device communicates using an appropriate network library (e.g., cURL).

[1404] server

[1405] The server receives the 3D model data (e.g., flower_vase.fbx) sent from the device and saves it to disk (e.g., SSD). The server then analyzes the data using a generative AI model and converts it into an appropriate file format (e.g., flower_vase.stl). This generative AI model runs on a machine learning framework such as TensorFlow. After conversion, the server saves the converted file back to disk.

[1406] The server then connects to the API endpoint of the 3D printing device and sends the converted data to the 3D printing device using an HTTP POST request.

[1407] three dimensional printing equipment

[1408] The 3D printing device receives the .stl file sent from the server and registers it as a print job. The control software (e.g., PrusaSlicer) analyzes this data and begins preparations for printing. Once the print job begins, the nozzles in the device begin using material (e.g., PLA filament) to build the physical object. Once the printing process is complete, the 3D printing device sends a print completion notification to the server.

[1409] User

[1410] The user receives a notification from the server and can retrieve the physical object created from the 3D printing device, allowing them to hold the object selected in the virtual space in the real world.

[1411] Specific examples

[1412] For example, User A finds a vase (flower_vase) in a shop in the virtual reality space and selects it. This information is transmitted to the device, which then sends flower_vase.fbx to the server. The server then uses a generative AI model to convert flower_vase.fbx to flower_vase.stl. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, User A can take the physical vase out of the 3D printing device.

[1413] Prompt Sentence Examples

[1414] "Please convert the 3D model data flower_vase.fbx into .stl format."

[1415] This system allows users to easily materialize objects they find in virtual reality into the real world.

[1416] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1417] Step 1:

[1418] User

[1419] The user selects a 3D object in the virtual space using a virtual reality device. This operation is performed using a controller or gesture recognition, and 3D model data of the selected object (e.g., flower_vase.fbx) is generated.

[1420] Input: A user-selected 3D object

[1421] Output: 3D model data (flower_vase.fbx)

[1422] Step 2:

[1423] Terminal

[1424] The device receives 3D model data from the virtual reality device via wireless communication, stores the received data in temporary storage, and prepares to connect to the server via the Internet.

[1425] Input: 3D model data (flower_vase.fbx)

[1426] Output: Data saved in temporary storage

[1427] Step 3:

[1428] Terminal

[1429] The terminal connects to the server via the Internet and sends the 3D model data using an HTTP POST request. The network library (e.g., cURL) used for this is appropriately configured.

[1430] Input: 3D model data stored in temporary storage

[1431] Output: Data sent to the server

[1432] Step 4:

[1433] server

[1434] The server receives the HTTP POST request, saves the submitted 3D model data to disk, and then provides the saved data as input to the generative AI model.

[1435] Input: Submitted 3D model data (flower_vase.fbx)

[1436] Output: Data saved to disk

[1437] Step 5:

[1438] Generative AI Models

[1439] The generative AI model analyzes the input 3D model data and converts it into an appropriate file format (e.g., flower_vase.stl). This conversion process uses a machine learning framework such as TensorFlow.

[1440] Input: 3D model data (flower_vase.fbx)

[1441] Output: Converted file (flower_vase.stl)

[1442] Step 6:

[1443] server

[1444] The server verifies the converted data output by the generative AI model and saves it back to disk. It then connects to the API endpoint of the 3D printing device and sends the converted data via an HTTP POST request.

[1445] Input: Converted file (flower_vase.stl)

[1446] Output: Data sent to the 3D printing device

[1447] Step 7:

[1448] three dimensional printing equipment

[1449] The 3D printing device receives the .stl file sent from the server and registers it as a print job. The control software (e.g., PrusaSlicer) analyzes the data and prepares it for printing.

[1450] Input: Received .stl file

[1451] Output: Submitting a print job

[1452] Step 8:

[1453] three dimensional printing equipment

[1454] When a print job is initiated, the nozzle of the 3D printer begins building the specified shape layer by layer with material. When printing is complete, the 3D printer sends a print completion notification to the server.

[1455] Input: print job

[1456] Output: physical object and print completion notification

[1457] Step 9:

[1458] server

[1459] The server receives a print completion notification from the three-dimensional printing device and notifies the user.

[1460] Input: Print completion notification

[1461] Output: User notification

[1462] Step 10:

[1463] User

[1464] The user receives a notification from the server and can retrieve the generated physical object from the 3D printing device.

[1465] Input: Notification from the server

[1466] Output: Physical object capture

[1467] (Application example 1)

[1468] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1469] With conventional 3D printing technology, it was difficult for users to output designs selected in virtual reality space as physical objects. Furthermore, it was cumbersome for users to smoothly bring customized 3D model data to the printing stage, and there was no way to receive notification when printing was complete. This resulted in a poor user experience and prevented widespread adoption.

[1470] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1471] In this invention, the server includes means for acquiring 3D model data from a virtual reality device, means including a user interface for customizing the 3D model data, means using generative artificial intelligence to convert the customized 3D model data into another format, means for transmitting the converted 3D model data to a 3D printing device, and means for notifying a user after the 3D printing device completes a print job, thereby enabling a user to easily output a design selected and customized in a virtual reality space as a physical object and receive a notification of print completion.

[1472] A "virtual reality device" is a device that allows a user to view and manipulate three-dimensional objects in a virtual space.

[1473] "Three-dimensional model data" refers to data that includes coordinates, shape, color, and texture information in three-dimensional space.

[1474] The "user interface" is an operation screen that allows the user to interact with the system and customize the three-dimensional model data.

[1475] "Generative AI" is an AI technology that has the ability to automatically convert input data into another format.

[1476] A "3D printing device" is a device that generates physical objects based on 3D model data.

[1477] A "print job" is an operation performed by a three-dimensional printing device to generate an object based on specific three-dimensional model data.

[1478] A "notification" is a message sent from the system to inform the user of a status or result.

[1479] The present invention is realized by a system comprising a virtual reality device, a terminal, a server, and a three-dimensional printing device, in which a user selects and customizes a three-dimensional object in a virtual space and outputs it as a physical object.

[1480] First, a user enters a virtual space using a virtual reality device, and can view and manipulate various three-dimensional objects. The virtual reality device, such as a VR headset, allows the user to freely explore the three-dimensional space using natural movements. When the user selects a three-dimensional object they like, its model data is sent from the virtual reality device to the terminal.

[1481] The terminal then temporarily stores the received 3D model data and customizes it through a user interface, which the user uses to change the color and shape of the model data. Once customized, the model data is sent from the terminal to the server.

[1482] The server receives the customized 3D model data sent from the device and uses generative AI to analyze the data and convert it to another file format. Specifically, if the original file format is fbx, for example, it converts it to stl format. This conversion process uses a generative AI model and is given the prompt, "Convert the fbx file to an STL file. Use the following byte data." The required data is provided as a <byte array of data>.

[1483] The converted data is sent from the server to the 3D printing device, which uses the received STL file to generate a physical object. The 3D printing device analyzes the print job, makes any necessary preparations, and then starts the printing process.

[1484] Finally, when the print job is complete, the 3D printing device sends a print completion notification to the server, which then sends a print completion message to the user, allowing the user to pick up the completed physical object at a specified location.

[1485] For example, a user can select a cup design in a virtual reality space and customize its color and shape. The customized data is then sent to a server, where it is converted into STL format using a generative AI model. The converted data is then sent to a 3D printing device, which finally prints the physical cup and notifies the user.

[1486] The above is an embodiment of the present invention. This system allows a user to easily obtain an object found in a virtual reality space in a physical form.

[1487] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1488] Step 1:

[1489] A user enters a virtual space using a virtual reality device and selects a 3D object. The virtual reality device acquires the selected 3D model data and sends it to a terminal. The input is the user's selection action, and the output is the 3D model data. This 3D model data is, for example, data in the fbx file format.

[1490] Step 2:

[1491] The terminal temporarily stores the 3D model data received from the virtual reality device. Next, the user customizes the model data through the user interface. The input is the 3D model data received from the virtual reality device and the user's customization operations, and the output is customized 3D model data, which reflects color and shape changes.

[1492] Step 3:

[1493] The terminal sends customized 3D model data to the server. The input is the customized 3D model data, and the output is the data sent to the server. The transmission is performed using an HTTP POST request.

[1494] Step 4:

[1495] The server saves the received customized 3D model data to disk. Then, it provides the saved data as input to the generative AI model and converts the data into another file format. The input is the customized 3D model data, and the output is the converted file data. Specifically, the following prompt is used:

[1496] Convert the fbx file to an STL file using the following byte data:

[1497] <byte array of data>

[1498] Generative AI models analyze and transform data.

[1499] Step 5:

[1500] The server sends the converted file to the 3D printing device. The input is the converted file data, and the output is the data to be sent to the 3D printing device. The transmission is done using an HTTP POST request.

[1501] Step 6:

[1502] The 3D printing device analyzes the received converted file data and registers it as a print job. The input is the converted file data, and the output is the preparation of the print job. Nozzle and material settings are made.

[1503] Step 7:

[1504] The 3D printing device initiates the printing process to produce a physical object. The input is the print job data, and the output is the completed physical object. Once the printing process is complete, the 3D printing device sends a print completion notification to the server.

[1505] Step 8:

[1506] The server receives the print completion notification and sends a message to the user. The input is the notification from the 3D printing device, and the output is the notification message to the user. The user can receive this message and pick up the physical object at the specified location.

[1507] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1508] System configuration

[1509] The system of the present invention comprises a virtual reality device, a terminal, a server, a 3D printing device, and an emotion engine. The emotion engine analyzes the user's facial expressions, voice, and movements to determine their emotional state, and actively influences the virtual reality device and the 3D model data selected. When the user selects an object in the virtual space, the selection is optimized based on the analysis results of the emotion engine.

[1510] Program processing

[1511] 1. Data acquisition from virtual reality device and analysis of emotional state

[1512] User

[1513] The user uses the virtual reality device to explore the virtual space and select three-dimensional objects that interest them, while the emotion engine simultaneously analyzes the user's facial expressions, voice, and movements in real time to determine their emotional state.

[1514] 2. Selection support using an emotion engine

[1515] Terminal

[1516] The device receives emotional state data from the emotion engine and reflects it in the virtual reality device, which then displays objects that are likely to interest the user more prominently or recommends objects that match the user's specific emotional state.

[1517] 3. Handling 3D model data

[1518] Terminal

[1519] The device saves the selected 3D model data (e.g., flower_vase.fbx) in temporary storage. Then, the device connects to the server via the Internet and sends the saved data to the server using an HTTP POST request.

[1520] 4. Data Conversion

[1521] server

[1522] The server receives the 3D model data sent from the device (e.g., flower_vase.fbx) and saves it to disk. This data is then input into the generation AI, which automatically converts it to the appropriate file format (e.g., .stl). The converted data is then resaved.

[1523] 5. Sending the converted data

[1524] server

[1525] The server connects to the device's API endpoint to send the converted file to the 3D printing device, sending the conversion data to the endpoint using an HTTP POST request.

[1526] 6. Creating Physical Objects

[1527] three dimensional printing equipment

[1528] The 3D printing device parses the received .stl file and registers it as a print job. The device's control software uses the data to configure the printing process. The print job is executed, and the object is built layer by layer using material.

[1529] 7. Completion notification and receipt

[1530] three dimensional printing equipment

[1531] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes details of the print result and the status.

[1532] server

[1533] The server receives notifications from the 3D printing device and transmits them to the user, possibly via email or in-application notification.

[1534] User

[1535] The user confirms the notification from the server and accesses the 3D printing device to receive the completed physical object (e.g., a vase).

[1536] Specific examples

[1537] For example, User A finds a vase (flower_vase) in the virtual reality space and selects it. At this time, the emotion engine determines User A's emotional state from his / her facial expressions, voice, etc., and optimizes the display and recommendations of objects based on the results. The user-selected flower_vase.fbx is sent from the device to the server, where it is automatically converted to flower_vase.stl by the generation AI. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, User A can obtain the finished vase from the 3D printer.

[1538] This system allows for objects found in virtual reality to be easily and quickly materialized in the real world, taking into account the user's emotional state.

[1539] The processing flow will be explained below.

[1540] Step 1:

[1541] User

[1542] The user uses the virtual reality device to explore the virtual space and find three-dimensional objects that interest them, while the virtual reality device is equipped with an emotion engine that detects the user's facial expressions, voice, and movements.

[1543] Step 2:

[1544] Terminal

[1545] The device receives the user's emotional state data from the emotion engine. For example, the device analyzes the user's state of surprise, joy, etc. in real time and sends that information to the device.

[1546] Step 3:

[1547] Terminal

[1548] The device dynamically adjusts the type and placement of 3D objects displayed on the virtual reality device based on the emotional state data. For example, if the user is excited, more attractive objects will be displayed prominently.

[1549] Step 4:

[1550] User

[1551] The user selects a 3D object from the optimized display, and this selection information (e.g., flower_vase.fbx) is transmitted from the virtual reality device to the terminal.

[1552] Step 5:

[1553] Terminal

[1554] The device saves the selected 3D model data (e.g., flower_vase.fbx) in temporary storage. The device then connects to the server via the Internet and sends the saved file to the server using an HTTP POST request.

[1555] Step 6:

[1556] server

[1557] The server receives the three-dimensional model data (e.g., flower_vase.fbx) sent from the terminal and stores the data in a specific directory on the server.

[1558] Step 7:

[1559] server

[1560] The server provides the stored data to the generation AI, which analyzes the data and automatically converts it into the appropriate file format (e.g., .stl), which is then saved to disk.

[1561] Step 8:

[1562] server

[1563] The server sends the converted file (e.g., flower_vase.stl) to the API endpoint of the 3D printing device, again using an HTTP POST request.

[1564] Step 9:

[1565] three dimensional printing equipment

[1566] The 3D printing device parses the received .stl file and registers it in the print job. The control software configures it and starts the printing process based on the data.

[1567] Step 10:

[1568] three dimensional printing equipment

[1569] The 3D printing machine executes the print job, using material to build a physical object (e.g., a vase). The nozzle moves and deposits material layer by layer until the object is formed.

[1570] Step 11:

[1571] three dimensional printing equipment

[1572] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes detailed status of the print.

[1573] Step 12:

[1574] server

[1575] The server receives notifications from the 3D printing device and communicates the information to the user via email or in-app notifications.

[1576] Step 13:

[1577] User

[1578] The user confirms the notification from the server and accesses the 3D printing device, where they can remove the completed physical object (e.g., a vase) from the device and use it in the real world.

[1579] This detailed processing flow enables the user to easily and quickly materialize a three-dimensional object selected in a virtual space in the real world, while the emotion engine optimizes the display and selection process.

[1580] Example 2

[1581] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1582] Virtual reality technology is currently being used in a variety of fields, but object selection and recommendation systems have not yet taken into account the user's emotional state. Furthermore, the process of physically realizing a three-dimensional object selected in a virtual space is complex and time-consuming. Therefore, there is a need for a system that can smoothly and quickly select objects that reflect the user's emotional state and generate real objects from the virtual space.

[1583] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1584] In this invention, the server includes means for acquiring data including a user's emotional state from a virtual reality device, means for analyzing the emotional state and recommending a three-dimensional object that is optimal for the user, means for saving the three-dimensional object as three-dimensional model data and transmitting it to the server, means for converting the three-dimensional model data into another format using generative artificial intelligence, means for transmitting the converted three-dimensional model data to a three-dimensional printing device, and means for generating a physical object with the three-dimensional printing device and notifying the user of its completion. This enables optimal object selection based on the user's emotional state and further enables the object selected in the virtual space to be quickly physically realized.

[1585] A "virtual reality device" is a device that allows users to explore and interact with a virtual space, and is equipped with sensors that detect vision, hearing, and physical movements.

[1586] "Emotional state" is information that indicates the user's current psychological state, obtained by analyzing data such as the user's facial expression, voice, and movements.

[1587] A "three-dimensional object" is digital data having a three-dimensional shape that a user selects or focuses on in a virtual space.

[1588] "3D model data" is file data that digitally represents a 3D object. Examples include file formats such as .fbx and .stl.

[1589] "Generative artificial intelligence" is a system that utilizes machine learning models to generate output data (in this case, format conversion of three-dimensional model data) according to a purpose based on specific input data.

[1590] A "3D printing device" is a device that builds and generates physical objects layer by layer from digital 3D data.

[1591] "Recommendation" is the process of presenting or recommending the most suitable three-dimensional object based on the user's emotional state and behavior.

[1592] "Conversion" is the process of automatically converting data from one format to another. In this context, it refers to the process of converting 3D model data into a different file format.

[1593] A "prompt statement" is an instruction given to the generating AI, and is input information for performing a specific action (in this case, converting the format of three-dimensional model data).

[1594] "Notification" is the process by which the system provides information to the user to inform them of a specific event (such as the completion of three-dimensional printing).

[1595] The present invention is a system consisting of a virtual reality device, a terminal, a server, a 3D printing device, and an emotion engine. The emotion engine analyzes the user's facial expressions, voice, and movements to determine their emotional state, and actively influences the virtual reality device and the selected 3D model data.

[1596] When a user selects an object in the virtual space, the selection is optimized based on the analysis results of the emotion engine. A specific embodiment of this system will be described below.

[1597] Hardware and software used

[1598] The main hardware and software used in this system are as follows:

[1599] 1. Virtual Reality Devices (VR Devices)

[1600] 2. Emotion Engine (machine learning model)

[1601] 3. Terminal (PC or mobile device)

[1602] 4. Server (data processing and generation AI execution environment)

[1603] 5. Three-dimensional printing device (3D printer)

[1604] Data processing and calculation flow

[1605] User interaction and data acquisition

[1606] The user explores the virtual space using a virtual reality device. The virtual reality device detects the user's facial expressions, voice, and movements in real time. This data is then sent to the device.

[1607] Analysis by emotion engine

[1608] The device sends data to the emotion engine to analyze the user's emotional state. For example, when a user looks at a vase, the emotion engine reads the user's emotions from their facial expressions and tone of voice and determines that the user is "interested."

[1609] Optimized display in virtual space

[1610] The device receives the analysis results of the emotion engine and feeds them back to the virtual reality device, allowing objects that are likely to interest the user to stand out. It also recommends objects according to specific emotional states.

[1611] Data storage and transmission

[1612] The 3D model data selected by the user (e.g., flower_vase.fbx) is saved on the device, after which the device connects to the server and sends the data to the server using an HTTP POST request.

[1613] Data transformation with generative AI

[1614] The server saves the received 3D model data and inputs it into the generation AI. The prompt text is "Please convert the 3D model data flower_vase.fbx to .stl format." The generation AI automatically converts it to the specified format and generates an .stl file.

[1615] Sending data to a 3D printing device

[1616] The server sends the converted .stl file to the 3D printing device by connecting to the device's API endpoint and sending the data via an HTTP POST request.

[1617] Physical object creation and notification

[1618] The 3D printing device parses the received .stl file and registers it as a print job. The print job is executed and the object is built layer by layer. After printing is complete, the 3D printing device sends a completion notification to the server, which notifies the user. The user confirms the notification and receives the completed physical object from the 3D printing device.

[1619] Specific examples

[1620] For example, if User A finds a vase (flower_vase) in the virtual reality space and selects it, the emotion engine determines User A's emotional state from his / her facial expressions and voice. Based on the results, the display of objects and recommendations in the virtual space are optimized. The selected flower_vase.fbx is sent from the device to the server, where it is automatically converted to flower_vase.stl by the generation AI. After conversion, flower_vase.stl is sent to the 3D printing device, which outputs a physical vase. Finally, User A can obtain the finished vase from the 3D printer.

[1621] The system allows for objects found in virtual reality to be quickly materialized in physical form, taking into account the user's emotional state.

[1622] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1623] Step 1:

[1624] User

[1625] The user wears a virtual reality device and explores the virtual space. During this process, the device collects data such as the user's facial expressions, voice, and movements. This data is then transmitted to the device in real time via sensors and microphones.

[1626] Input: User's facial expression, voice, and movement data

[1627] Output: Real-time data transfer to the device

[1628] Step 2:

[1629] Terminal

[1630] The user data transmitted from the virtual reality device is received and sent to the emotion engine. The emotion engine analyzes the received data and determines the user's emotional state. For example, if the user is smiling, it determines "joy."

[1631] Input: User's facial expression, voice, and movement data

[1632] Output: Emotional state data from the emotion engine

[1633] Step 3:

[1634] Terminal

[1635] The analysis results of the emotion engine are received and fed back to the virtual reality device. This allows objects that are likely to interest the user to be displayed prominently. For example, if the user is in a "surprised" state, objects that match that emotion will be recommended preferentially.

[1636] Input: Emotional state data

[1637] Output: Optimizing the display of objects in virtual reality devices

[1638] Step 4:

[1639] User

[1640] The user selects a 3D object in the virtual space that interests them. For example, the user clicks on a vase to select it. The selection information is sent to the device.

[1641] Input: Selected object information (e.g. flower_vase.fbx)

[1642] Output: Sending object selection information to the terminal

[1643] Step 5:

[1644] Terminal

[1645] The selected 3D model data (e.g., flower_vase.fbx) is temporarily saved in local storage, and then sent to the server using an HTTP POST request.

[1646] Input: Selected 3D model data

[1647] Output: Send data to the server

[1648] Step 6:

[1649] server

[1650] The received 3D model data is saved and input to the generation AI. The prompt text is "Please convert the 3D model data flower_vase.fbx to .stl format." The generation AI converts the data to the specified format and generates an .stl file.

[1651] Input: 3D model data, prompt text

[1652] Output: Converted .stl file

[1653] Step 7:

[1654] server

[1655] To send the converted .stl file to the 3D printing device, an HTTP POST request is sent to the device's API endpoint. If the transfer is successful, the server records the transfer result in a log.

[1656] Input: Converted .stl file

[1657] Output: Sending data to a 3D printing device

[1658] Step 8:

[1659] three dimensional printing equipment

[1660] The received .stl file is parsed and registered as a print job. The control software automatically configures the 3D printer to use the material to build the object layer by layer.

[1661] Input: .stl file

[1662] Output: Physical object generation

[1663] Step 9:

[1664] three dimensional printing equipment

[1665] Once printing is complete, the 3D printing device sends a print completion notification to the server, which includes details of the print result and the status.

[1666] Input: None (Printing completed)

[1667] Output: Print completion notification to the server

[1668] Step 10:

[1669] server

[1670] A print completion notification is received and the completion notification is reported to the user via email or application notification.

[1671] Input: Print completion notification

[1672] Output: User notification

[1673] Step 11:

[1674] User

[1675] Confirm the notification and receive the completed physical object from the 3D printing machine.

[1676] Input: Completion notification

[1677] Output: Receives a physical object

[1678] (Application example 2)

[1679] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1680] In virtual reality experiences, there is a lack of efficient and fast ways for users to obtain items they are interested in in the real world. Furthermore, there is a lack of optimal item recommendations based on the user's emotional state, making it difficult to improve the quality of the user experience.

[1681] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1682] In this invention, the server includes means for acquiring 3D model data from a virtual reality device, means for using generative artificial intelligence to convert the 3D model data into another format, means for transmitting the converted 3D model data to a 3D printing device, means for analyzing a user's emotional state, means for recommending an item based on the analyzed emotional state, and means for the user to select the recommended item, thereby enabling the recommendation of an optimal item based on the user's emotional state and enabling the selected item to be quickly obtained in the real world.

[1683] A "virtual reality device" is an electronic device that allows a user to visually and sensorily experience a virtual space.

[1684] "Three-dimensional model data" is digital data that represents the shape and structure of an object in three-dimensional space.

[1685] "Generative AI" is AI that has the ability to create new data based on specific input data.

[1686] A "3D printing device" is a machine for building physical three-dimensional objects from digital data.

[1687] "Means for analyzing emotional state" refers to a method for inferring a user's emotions by analyzing data such as the user's facial expressions, voice, and movements.

[1688] "Means for recommending items" refers to a method for selecting and presenting products and services that are likely to interest the user.

[1689] The "means of user selection" refers to the method by which a user selects a particular object or service from the presented options.

[1690] This invention is realized by a system consisting of a virtual reality device, a terminal, a server, a 3D printing device, and an emotion engine. The system allows a user to use the virtual reality device to explore a virtual space, select a 3D object of interest, and physically obtain that object in the real world.

[1691] System configuration

[1692] 1. Virtual reality devices:

[1693] A device (e.g., Oculus Rift) is used to allow users to visually and sensorily experience a virtual space. Data such as the user's facial expressions, movements, and voice are collected from this device.

[1694] 2. Emotion Engine:

[1695] The emotion engine analyzes the user's facial expressions, voice, and movements in real time to determine their emotional state (e.g., using Affectiva SDK). Based on the analyzed emotional state, product recommendations are made.

[1696] 3. Terminal:

[1697] The device receives data from the emotion engine and the virtual reality device and performs appropriate processing. The emotional state data from the emotion engine is reflected in the virtual reality device, and objects that interest the user are displayed prominently. The device also sends the 3D model data (e.g., flower_vase.fbx) selected by the user to the server.

[1698] 4. Server:

[1699] The server receives the 3D model data sent from the device and converts it into an appropriate format (e.g., .stl) using a generative AI (e.g., a generative AI model). The converted data is then sent to the 3D printing device.

[1700] 5. Three-dimensional printing equipment:

[1701] The 3D printing device (e.g. Ultimaker S5) parses the .stl file sent from the server and uses the materials to build a physical object layer by layer, and the user can finally receive the finished item from the 3D printing device.

[1702] Specific examples

[1703] For example, a user finds a vase (flower_vase) in a virtual reality space and selects it. At this time, the emotion engine determines the user's emotional state from their facial expressions and voice, and the display and recommendations of objects are optimized based on the results. The user-selected flower_vase.fbx is sent from the device to the server, where it is automatically converted to flower_vase.stl by the generation AI. After conversion, flower_vase.stl is sent to a 3D printing device, which outputs a physical vase. Finally, the user can obtain the finished vase from the 3D printer.

[1704] Prompt Sentence Examples

[1705] Analyze the facial expressions and movement data of users using a VR device and recommend the best products for them. When the user selects a recommended product, obtain the 3D model data of that product and convert it into STL format using generative AI. Implement the process of sending the converted data to a 3D printer to create a physical object.

[1706] This system allows users to receive recommendations for optimal items based on their emotional state and quickly acquire items selected in the virtual space in the real world.

[1707] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1708] Step 1:

[1709] A user explores a virtual space using a virtual reality device. Input data, such as the user's facial expressions, voice, and movements, are acquired from the virtual reality device. This data becomes the input for the system. The output is the user's search results. This also includes the user's action of selecting a 3D object that interests them.

[1710] Step 2:

[1711] The terminal transmits the acquired data to the emotion engine to analyze the emotional state. The emotion engine analyzes the user's facial expression, voice, and movement data to determine the user's emotional state. Data from the virtual reality device is used as input, and the analyzed emotional state is obtained as output.

[1712] Step 3:

[1713] The terminal receives the emotional state data from the emotion engine and recommends products based on the analyzed emotional state. The emotional state data is used as input, and a list of recommended products is obtained as output. In specific operations, a product recommendation algorithm related to the emotional state is executed.

[1714] Step 4:

[1715] The user selects an object that they are likely to be interested in from the recommended items. The input is a list of recommended items, and the output is the item selected by the user (e.g., flower_vase.fbx).

[1716] Step 5:

[1717] The terminal obtains the 3D model data selected by the user and sends it to the server. The selected 3D model data is used as input, and this data is sent to the server as output. Specifically, an HTTP POST request is executed.

[1718] Step 6:

[1719] The server receives and stores the 3D model data sent from the device. The data is then input into the generative AI model and converted into the appropriate file format (e.g., .stl). The 3D model data and the generative AI model are used as input, and the converted data is obtained as output. Specifically, the generative AI converts the file format.

[1720] Step 7:

[1721] The server sends the converted file to the 3D printing device. The converted data (e.g., flower_vase.stl) is used as input, and the output is sent to the 3D printing device. Specifically, the data is sent using an HTTP POST request.

[1722] Step 8:

[1723] The 3D printing device parses the received .stl file and registers it as a print job. The input is the received data (.stl file) and the output is the executed print job. The specific operation is to automatically set up the printing process and produce a physical object.

[1724] Step 9:

[1725] When the 3D printing device completes printing, it sends a notification to the server. The input is the print completion status, and the output is a completion notification sent to the server. The specific operation is to send a notification to the server that includes the completion status and result details.

[1726] Step 10:

[1727] The server receives a completion notification from the 3D printing device and transmits it to the user. The completion notification is used as input, and a notification (email or in-application notification) is sent to the user as output. The user checks the notification and receives the completed item from the 3D printing device.

[1728] 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.

[1729] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[1730] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1731] 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.

[1732] FIG. 9 is a diagram illustrating 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 actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect 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.

[1733] 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.

[1734] 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).

[1735] 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 indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, 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 indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1736] 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."

[1737] 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.

[1738] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1739] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1740] 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.

[1741] 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.

[1742] 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.

[1743] The hardware resource for executing a specific process can be any of the following processors: An example of a processor 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. Another example of a processor is 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.

[1744] The hardware resource that executes the specific processing 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 processing may be a single processor.

[1745] 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.

[1746] 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.

[1747] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1748] 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.

[1749] The following is further disclosed regarding the above embodiment.

[1750] (Claim 1)

[1751] means for acquiring three-dimensional model data from a virtual reality device;

[1752] means for using generative artificial intelligence to convert the three-dimensional model data into another format;

[1753] means for transmitting the converted three-dimensional model data to a three-dimensional printing device;

[1754] A system including:

[1755] (Claim 2)

[1756] 2. The system according to claim 1, wherein the three-dimensional model data acquired from the virtual reality device is in a file format.

[1757] (Claim 3)

[1758] 10. The system of claim 1, wherein the other format is a file format used by a three-dimensional printing device.

[1759] (Claim 4)

[1760] 2. The system of claim 1, wherein the generative artificial intelligence automatically analyzes and converts the three-dimensional model data into different file formats.

[1761] (Claim 5)

[1762] 10. The system of claim 1, further comprising means for generating a physical object after the converted three-dimensional model data is transmitted to a three-dimensional printing device.

[1763] "Example 1"

[1764] (Claim 1)

[1765] means for acquiring three-dimensional model data from a virtual reality device;

[1766] a means for temporarily storing the three-dimensional model data;

[1767] means for transmitting the three-dimensional model data to a server;

[1768] a server that stores the three-dimensional model data on a disk;

[1769] means for using a generative AI model to convert the three-dimensional model data into another format;

[1770] means for transmitting the three-dimensional model data converted into the other format to a three-dimensional printing device;

[1771] means for the three-dimensional printing device to print the converted three-dimensional model data;

[1772] means for notifying that the printing has been completed;

[1773] A system including:

[1774] (Claim 2)

[1775] 2. The system according to claim 1, wherein the three-dimensional model data acquired from the virtual reality device is in a file format.

[1776] (Claim 3)

[1777] 10. The system of claim 1, wherein the other format is a file format used by a three-dimensional printing device.

[1778] "Application Example 1"

[1779] (Claim 1)

[1780] means for acquiring three-dimensional model data from a virtual reality device;

[1781] means including a user interface for customizing the three-dimensional model data;

[1782] means for using generative artificial intelligence to convert the customized three-dimensional model data into another format;

[1783] means for transmitting the converted three-dimensional model data to a three-dimensional printing device;

[1784] means for notifying a user after the three dimensional printing device has completed a print job;

[1785] A system including:

[1786] (Claim 2)

[1787] 2. The system according to claim 1, wherein the three-dimensional model data acquired from the virtual reality device is in a file format.

[1788] (Claim 3)

[1789] 10. The system of claim 1, wherein the other format is a file format used by a three-dimensional printing device.

[1790] "Example 2: Combining Emotion Engines"

[1791] (Claim 1)

[1792] means for obtaining data from the virtual reality device, the data including the emotional state of the user;

[1793] means for analyzing the emotional state and recommending a three-dimensional object that is most suitable for the user;

[1794] means for saving the three-dimensional object as three-dimensional model data and transmitting the data to a server;

[1795] means for converting the three-dimensional model data into another format using generative artificial intelligence;

[1796] means for transmitting the converted three-dimensional model data to a three-dimensional printing device;

[1797] means for generating a physical object with the three-dimensional printing device and notifying a user of the completion of the generation;

[1798] A system including:

[1799] (Claim 2)

[1800] 2. The system of claim 1, wherein the user's emotional state data obtained from the virtual reality device includes the user's facial expressions, voice, and movements.

[1801] (Claim 3)

[1802] 2. The system according to claim 1, wherein the prompt sentence to the generating artificial intelligence instructs a format conversion of the three-dimensional model data.

[1803] "Application example 2 when combining emotion engines"

[1804] (Claim 1)

[1805] means for acquiring three-dimensional model data from a virtual reality device;

[1806] means for using generative artificial intelligence to convert the three-dimensional model data into another format;

[1807] means for transmitting the converted three-dimensional model data to a three-dimensional printing device;

[1808] means for analyzing the emotional state of a user;

[1809] means for recommending an item based on the analyzed emotional state;

[1810] means for a user to select the recommended item;

[1811] A system including:

[1812] (Claim 2)

[1813] 2. The system according to claim 1, wherein the three-dimensional model data acquired from the virtual reality device is in a file format.

[1814] (Claim 3)

[1815] 10. The system of claim 1, wherein the other format is a file format used by a three-dimensional printing device. [Explanation of symbols]

[1816] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for acquiring three-dimensional model data from a virtual reality device; means for using generative artificial intelligence to convert the three-dimensional model data into another format; means for transmitting the converted three-dimensional model data to a three-dimensional printing device; A system including:

2. 2. The system of claim 1, wherein the three-dimensional model data acquired from the virtual reality device is in a file format.

3. 2. The system of claim 1, wherein the other format is a file format used by a three-dimensional printing device.

4. 2. The system of claim 1, wherein the generative artificial intelligence automatically analyzes and converts the three-dimensional model data into different file formats.

5. 2. The system of claim 1, further comprising means for generating a physical object after the converted three-dimensional model data is transmitted to a three-dimensional printing device.

Images