System

Abstract

A system is provided.SOLUTION: This system includes a means for setting the shape, color, pattern and dot size of a work as parameters by a user, a means for fetching data from an external system, a means for applying the fetched data to the parameters set by the user, and a means for displaying the final state of the work.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] The process by which artists create artwork is complex, and it can be difficult to accurately reflect their intentions in the work, especially when multiple elements are manipulated simultaneously. It is even more difficult to properly incorporate data from external drawing systems and combine it with existing artwork to create the intended result. These issues not only hinder creativity, but also reduce the efficiency of the creative process. [Means for solving the problem]

[0005] To solve these problems, the present invention provides the following means. First, it has a means for users to freely set the shape, color, pattern, and dot size of the work as parameters. Second, it provides a means for importing data from an external system and reflecting that data in the work. The imported data can overwrite existing parameters that have been set, and it also has a means for displaying the final state of the work, allowing users to always check the latest state of the work. Furthermore, by including a storage means for appropriately saving and updating this data, it is possible to improve the efficiency and accuracy of creative activities.

[0006] "Shape" refers to the physical appearance of the work, including geometric forms such as circles and rectangles.

[0007] "Color" refers to the types and combinations of colors used in the work, including specific colors such as red and blue.

[0008] "Pattern" refers to a pattern or design drawn on the surface of a work, and includes specific design patterns such as stripes and dots.

[0009] "Point size" refers to the size of the dots or points drawn in the work, and is expressed in units such as pixels or millimeters.

[0010] "External System" means any other software or hardware used by you to create part or all of the Work.

[0011] "Data" refers to information imported from an external system, including parameters of the artwork such as color and shape.

[0012] "Final state of the work" refers to the state of the completed work that reflects the parameters set by the user and the data imported from an external system.

[0013] "Storage Means" refers to data storage for saving and, if necessary, updating the parameters and external data of the Work. [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] The system of the present invention provides comprehensive support for artists to efficiently and effectively advance their creative activities. This system allows users to freely set parameters for the shape, color, pattern, and dot size of their artwork. Furthermore, it is possible to import data from an external drawing system and incorporate that data into the artwork. Below, the main processing steps of the system are explained in natural language and presented in detail with concrete examples.

[0036] 1. Starting the program (server)

[0037] The server starts the program and generates an instance of the system, which prepares a mechanism for managing the parameter settings of the work and the import of external data.

[0038] 2. Parameter settings (user)

[0039] The user specifies the shape, color, pattern, and dot size of the work. This information is stored in a dictionary-style data structure managed within the system. For example, if the user specifies parameters such as "circle," "red," "stripes," and "5 pixels," this information is stored in the system as the basic components of the work.

[0040] 3. Importing external data (user)

[0041] The user imports data from an external drawing system. The external data includes information such as "blue color" and "point size 10 pixels." This data is stored in dedicated variables within the system and used for further processing.

[0042] 4. Applying external data (user)

[0043] After the user imports external data, they pass commands to the system to reflect the parameters. The server receives these commands and overwrites the existing parameters with the contents of the external data. This process determines the final composition of the work.

[0044] 5. Displaying the final result (terminal)

[0045] The device displays the final state of the work, allowing the user to check the current state of the work and make further adjustments if necessary.

[0046] Specific examples

[0047] Consider a scenario in which a user creates a piece of pottery. First, the user sets the shape of the piece to "circle," the color to "red," the pattern to "stripes," and the dot size to "5 pixels." Then, the user imports data such as "blue" and "dot size to 10 pixels" from an external system and applies it to the piece. Finally, the piece will have a shape of circle, a color of blue, a pattern to stripes, and dot size to 10 pixels. The results are displayed on the device, allowing the user to directly check the final shape of the piece.

[0048] This system allows users to freely adjust creative elements and effectively utilize external data to efficiently create highly accurate works of art.

[0049] The processing flow will be explained below.

[0050] Step 1:

[0051] The server launches the program. The server creates an instance of the "ArtSimulationSystem" class and performs initialization. At this time, the dictionary variable self.artwork, which stores the artwork's parameters, and the variable self.external_data, which stores external data, are initialized.

[0052] Step 2:

[0053] The user sets the parameters. The user specifies the shape, color, pattern, and dot size of the work and passes this information to the set_parameters method. The server receives this and saves it in the self.artwork dictionary. For example, if the user sets "Shape: Circle", "Color: Red", "Pattern: Stripes", and "Dot Size: 5 pixels", it will be saved as follows:

[0054] python

[0055] self.artwork = {

[0056] 'shape': 'circle',

[0057] 'color': 'red',

[0058] 'pattern': 'striped',

[0059] 'dot_size': 5

[0060] }

[0061] Step 3:

[0062] The user imports data from an external system. The user passes the data obtained from the external system to the import_external_data method. The server receives this and saves the external data in self.external_data. For example, if the external data is "Color: Blue" and "Point Size: 10 pixels", it will be saved as follows:

[0063] python

[0064] self.external_data = {

[0065] 'color': 'blue',

[0066] 'dot_size': 10

[0067] }

[0068] Step 4:

[0069] The user applies external data. The user calls the apply_external_data method, and the server merges the contents of self.external_data into self.artwork. In this process, the existing parameters are overwritten by the contents of the external data. This results in the parameters of the final artwork being as follows:

[0070] python

[0071] self.artwork = {

[0072] 'shape': 'circle',

[0073] 'color': 'blue',

[0074] 'pattern': 'striped',

[0075] 'dot_size': 10

[0076] }

[0077] Step 5:

[0078] The device displays the final result. The server calls the display_artwork method and returns the latest self.artwork content to the device. The user can use this information to check the final state of the artwork. For example, the current artwork is displayed as "Shape: Circle," "Color: Blue," "Pattern: Stripes," and "Dot Size: 10 pixels."

[0079] In this way, this system effectively combines parameters freely set by the user with external data to provide advanced support that allows users to check the status of the artwork in real time.

[0080] Example 1

[0081] 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."

[0082] In conventional art production systems, it was difficult to integrate user-set parameters with data from external systems, making it difficult to create works efficiently. Furthermore, there was a lack of a way to overwrite existing settings when importing data from external systems, requiring flexible responses to meet user needs. Furthermore, managing imported data and set parameters was cumbersome, preventing users from creating an environment that allowed them to concentrate on their creative activities.

[0083] 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.

[0084] In this invention, the server includes means for the user to set parameters for the shape, color, pattern, and dot size of the artwork; means for importing data from an external system; means for applying the imported data to the parameters set by the user; means for displaying the final state of the artwork; means for saving the parameters set by the user in a dictionary-type data structure; means for saving the data imported from the external system in dedicated variables; and means for overwriting existing parameters with external data based on a user's command. This makes it easy for users to integrate the set parameters with external data, enabling them to create artworks efficiently. Furthermore, data management is simplified, providing an environment in which users can concentrate on their creative activities.

[0085] "User" means an individual or entity that uses the System to set and manipulate the shape, color, pattern, and dot size of a work.

[0086] "Parameters" are the basic components set by the user, such as the shape, color, pattern, and size of the dots of the work.

[0087] "External system" refers to other rendering software or data sources that exist outside the system.

[0088] "Data Import Means" means the method or process by which data related to a work is imported into the system from an external system.

[0089] "Means of applying parameters" refers to the method or process by which imported external data is superimposed on or overwritten by existing parameters set by the user.

[0090] A "display means" is a means for visually presenting the final state of the work to a user, typically a computer display or a mobile device screen.

[0091] The "means for storing in a dictionary-type data structure" is a data structure for efficiently managing and storing set parameters in the form of keys and values.

[0092] The "means of saving to a dedicated variable" is a specific memory area or database field for temporarily or permanently storing imported external data.

[0093] "Means for overwriting existing parameters with external data on command" refers to a method or process for updating existing configured parameters with imported external data upon instruction from a user.

[0094] The system of the present invention provides comprehensive support for artists to efficiently and effectively advance their creative activities. This system allows users to freely set parameters for the shape, color, pattern, and dot size of their artwork. Furthermore, it is possible to import data from an external drawing system and reflect that data in the artwork. Below, we will explain the main processing steps of the system, including specific operations.

[0095] First, the server starts the application server software. Specifically, server software such as Apache or Nginx is typically used. Next, the server creates an instance of the system and places it in memory. This makes it ready to accept requests when a user accesses it. The server connects to a backend database (for example, MySQL or MongoDB) and loads and configures the initial data.

[0096] The device displays a parameter input screen to the user. Frameworks such as React, Angular, and Vue.js are often used for the front end. Here, the user inputs parameters such as shape, color, pattern, and dot size. For example, they can specify "circle," "red," "stripes," and "5 pixels." The server saves the parameters received from the user in a dictionary-type data structure and stores them as the basic components of the work. At the same time, they are also saved in a database.

[0097] Next, the user selects a data file to import from an external drawing system, such as Adobe Illustrator or Photoshop. The selected data file is uploaded from the device to the server. The server analyzes this data and saves new parameters (e.g., "blue color" and "dot size 10 pixels") in dedicated variables.

[0098] The user issues a command to import external data. The server receives this command and applies the external data to the existing parameters. Specifically, the server overwrites the existing parameters with the parameters from the external data, and the final composition of the work is determined. Finally, the server generates a preview image and data for the work based on the final parameters. The device displays the generated preview to the user. Here, real-time drawing can be performed using the Canvas API or WebGL. The user can check the final result displayed and make further adjustments if necessary. The final work data is saved.

[0099] As a specific example, consider a scenario in which a user creates a piece of pottery. First, the device displays a parameter input screen, and the user inputs the shape as "circle," the color as "red," the pattern as "stripes," and the dot size as "5 pixels." The user then imports data created in an external drawing system (e.g., Adobe Illustrator) for "blue" and a dot size of 10 pixels, and applies it to the piece. The server generates a preview of the piece after the settings are applied, and the device displays it. The user can then check the displayed piece and make adjustments.

[0100] An example of a prompt is:

[0101] 1. "Create a circular ceramic piece with red, striped patterns, and dots 5 pixels in size."

[0102] 2. "Import blue color data with a dot size of 10 pixels from an external drawing system and apply it to the current work."

[0103] This prompt allows the generative AI model to provide appropriate artistic production assistance based on the set parameters and external data.

[0104] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0105] Step 1: Starting the program (server)

[0106] The server starts the application server software (for example, Apache or Nginx). The server creates an instance of the system and prepares it for initial configuration. Specifically, the server places the system instance in memory and connects to a backend database (for example, MySQL or MongoDB), loading and configuring the initial data. The inputs are the system configuration files and database connection information, and the output is a working system.

[0107] Step 2: Display the parameter input screen (terminal)

[0108] The terminal displays a parameter input screen to the user. Frameworks such as React, Angular, and Vue.js are used for the front end. The screen displays input fields for things like shape, color, pattern, and point size. For input, the user must access a specific URL or application, and the parameter input screen is displayed as output.

[0109] Step 3: Entering parameters (user)

[0110] The user inputs parameters such as shape, color, pattern, and dot size. For example, they can specify "circle," "red," "stripes," and "5 pixels." For input, the user enters this information into the input fields and clicks the submit button. For output, the input parameters are collected by the front end.

[0111] Step 4: Saving input data (server)

[0112] The server stores the parameters received from the user in a dictionary-type data structure and also stores them in a database. As input, parameter data sent by the user is provided, and as output, this is stored in a dictionary-type data structure and a database within the system.

[0113] Step 5: Select External Data (User)

[0114] The user selects a data file to import from an external drawing system (e.g., Adobe Illustrator or Photoshop). As input, the user selects a file from their local file system or cloud storage. As output, the selected file path or file data is displayed on the terminal.

[0115] Step 6: Upload data files (terminal)

[0116] The device uploads the selected data file to the server, typically using an HTTP POST request. As input, the user-selected file data is provided, and as output, the file is uploaded to the server.

[0117] Step 7: Storing external data (server)

[0118] The server analyzes the uploaded file and saves the new parameters (e.g. "blue color" and "dot size 10 pixels") in dedicated variables. As input, the uploaded file data is provided, and as output, the new parameters are saved in dedicated variables.

[0119] Step 8: Issue application command (user)

[0120] The user issues a command to import external data using a button on the GUI, etc. The input is the user clicking the apply button, and the output is the command sent to the server.

[0121] Step 9: Accepting the command (server)

[0122] The server receives a command from the user and starts the process of applying external data to existing parameters. The application command from the user is provided as input, and a processing completion status is generated as output.

[0123] Step 10: Overriding Parameters (Server)

[0124] The server overwrites the existing parameters with external data parameters. As input, the existing parameters and new data parameters are provided, and as output, the final parameters are determined.

[0125] Step 11: Generate the final state (server)

[0126] The server generates preview images and data of the work based on the final parameters. The final parameters are provided as input, and preview images and data are generated as output.

[0127] Step 12: View Preview (Device)

[0128] The device displays the generated preview to the user. Here, real-time drawing can be performed using the Canvas API or WebGL. As input, preview images or data provided by the server are required, and as output, the preview is displayed to the user.

[0129] Step 13: Adjust and save (user)

[0130] The user checks the displayed final result, makes further adjustments if necessary, and then saves the final work data. The final adjustment parameters are provided as input, and the saved work data is generated as output.

[0131] (Application example 1)

[0132] 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."

[0133] In virtual stores, there is a lack of methods for users to efficiently create digital artworks, adjust and check them in real time using external data, and exhibit and sell them. There is also a need for a system that can instantly update and check the status of artworks using multiple devices (smartphones and head-mounted displays). Conventional systems require users to manually import external data and overwrite parameters, which is inefficient for users.

[0134] 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.

[0135] In this invention, the server includes a means for allowing a user to set parameters for the shape, color, pattern, and dot size of the artwork, a means for importing data from an external system, a means for applying the imported data to the parameters set by the user, a means for displaying the final state of the artwork, and a means for adjusting the imported data in real time and exhibiting and selling the artwork in a virtual store using a smartphone or head-mounted display. This allows users to efficiently create digital artworks, import and adjust external data in real time, and instantly exhibit and sell the artworks in a virtual store using multiple devices.

[0136] "User" means any individual or entity that uses the System to create, modify, and exhibit digital artworks.

[0137] "Work" refers to a digital art or design created by a user by setting parameters.

[0138] "Shape" refers to the appearance or outline of the work, and indicates the form, such as circle, square, or triangle.

[0139] "Color" is a general term for the shades and color schemes in a work, and refers to specific colors such as red, blue, and green.

[0140] "Pattern" refers to the patterns or designs that appear on the surface of the work, and can include stripes, waves, dots, etc.

[0141] "Dot size" is a parameter that indicates the size of the dots contained in the work, and is expressed in pixels.

[0142] "External systems" refer to digital drawing tools or databases that exist outside the system and that users use to import data.

[0143] "Data" is a general term for information imported from external systems, including setting values ​​such as color, shape, and pattern.

[0144] "Parameters" refers to the individual settings for determining the shape, color, pattern, and dot size of the work.

[0145] "Real-time adjustments" means that changes are reflected in the system immediately and users can see the results immediately.

[0146] A "smartphone" is a small portable information terminal with internet connectivity, and is a device used to set up and display works.

[0147] A "head-mounted display" is a display device worn on the head, and is used to display the state of the work in 3D or AR format.

[0148] A "virtual store" is a virtual sales location that exists on the Internet and is a platform where users can exhibit and sell digital artworks.

[0149] The system for realizing this invention is composed of a server, a smartphone, and a head-mounted display (HMD), and is used to create, adjust, display, and exhibit digital artworks. The system of the present invention includes the following main components:

[0150] server

[0151] The server provides an interface that allows users to set parameters for the shape, color, pattern, and dot size of their digital artwork. It also has an API and data import function for importing data from external systems, making it possible to import data from external drawing tools and databases. The imported data is applied in real time to the parameters set by the user, allowing for smooth adjustments to the artwork.

[0152] Smartphones and Head-Mounted Displays (HMDs)

[0153] Smartphones and HMDs are devices that use an interface provided by the server to set up and adjust artworks. These devices display the final state of the artwork in real time. They also provide a UI (user interface) that allows users to check the state of the artwork and make immediate adjustments. Through these devices, users can check digital artworks in real time and exhibit and sell them in a virtual store.

[0154] Data capture and application

[0155] When a user imports data from an external system, that data is saved in a dedicated variable on the server. For example, if a user sets the parameters "circle," "red," "stripes," and "5 pixels," that information is saved in a dictionary-type data structure on the server. If data such as "blue" and "dot size 10 pixels" are imported from an external system, this data is also saved in a dedicated variable, allowing existing parameters to be overwritten in subsequent processing. This automatically updates the composition of the work and displays it in its final state on the device.

[0156] Specific examples

[0157] For example, when a user creates a piece of pottery, the initial settings are "circle" shape, "red" color, "stripes" pattern, and "5 pixel dot size." Data such as "blue" and "10 pixel dot size" are then imported from an external system and applied to the piece. As a result, the piece will have a circle shape, blue color, stripes pattern, and 10 pixel dot size. The results are displayed on the user's device, allowing the user to check the final piece and exhibit and sell it in a virtual store.

[0158] Prompt Sentence Examples

[0159] "The initial settings for the artwork shape are circle, color red, pattern stripes, and dot size 5 pixels. Next, import external data with blue color and dot size 10 pixels and apply it."

[0160] This specification shows the detailed configuration of the system and its implementation, but the server's API, data import function, and UI design for smartphones and HMDs can be flexibly designed for actual implementation. This allows users to efficiently create digital artworks and exhibit and sell them in a virtual store.

[0161] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0162] Step 1:

[0163] The server starts the program and creates an instance of the system.

[0164] Specifically, the server performs initialization processing for the entire system and creates an environment for managing the parameter settings of the work and the import of external data.

[0165] Input: None

[0166] Output: System initialization complete, instantiation

[0167] Step 2:

[0168] The user sets the shape, color, pattern, and size of the dots of the work as parameters using a smartphone or head-mounted display.

[0169] As a specific operation, the user inputs specific parameters (e.g., "circle," "red," "stripes," "5 pixels") through the interface.

[0170] Input: Specific parameters of shape, color, pattern, and dot size

[0171] Output: The configured parameters are sent to the server and stored in a dictionary data structure.

[0172] Step 3:

[0173] A user imports data from an external system.

[0174] Specifically, the user accesses an external system, obtains the necessary data (e.g., "blue color" and "dot size 10 pixels"), and imports it into the system.

[0175] Input: Data from an external system

[0176] Output: The captured data is saved in a dedicated variable on the server.

[0177] Step 4:

[0178] The server applies the retrieved data to the existing parameters.

[0179] Specifically, the server receives the user's command and overwrites the existing parameters with the imported data.

[0180] Input: Imported data, existing parameters

[0181] Output: Overridden parameters

[0182] Step 5:

[0183] The device (smartphone or HMD) displays the final state of the work.

[0184] Specifically, the server sends the overwritten parameters to the terminal, and the terminal displays the latest work status based on the overwritten parameters.

[0185] Input: Overridden parameters

[0186] Output: The final product displayed on the device

[0187] Step 6:

[0188] The user reviews the final product and makes further adjustments if necessary.

[0189] Specifically, the user may check the displayed work and set parameters or import data again.

[0190] Input: Final work state displayed

[0191] Output: Any further adjustments or final decisions required by the user

[0192] This process allows users to efficiently create digital artworks, adjust and display them in real time, and ultimately display and sell them in a virtual store.

[0193] 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.

[0194] The system of the present invention provides comprehensive support for artists to efficiently and effectively advance their creative activities. The system allows users to freely set parameters for the shape, color, pattern, and dot size of their artwork. It also allows users to import data from external drawing systems and apply that data to existing parameters to reflect the artwork. Furthermore, the system incorporates an emotion engine that recognizes the user's emotions, automatically adjusting parameters based on the user's emotions, allowing for more advanced customization of the creative process.

[0195] Program processing

[0196] 1. Starting the program (server)

[0197] The server starts the program and generates an instance of the system. This instantiation initializes the emotion engine and prepares a mechanism for managing the parameter settings of the work and the import of external data.

[0198] 2. Parameter settings (user)

[0199] The user sets the specific shape, color, pattern, and dot size of the work. This information is stored in a dictionary-type data structure managed within the system. For example, if a user sets the parameters as "circle," "red," "stripes," and "5 pixels," this information is stored in the system as the basic components of the work.

[0200] 3. Importing external data (user)

[0201] The user imports data from an external drawing system. The external data includes information such as "blue color" and "point size 10 pixels." This data is stored in dedicated variables within the system and used for further processing.

[0202] 4. Applying external data (user)

[0203] After the user imports external data, they pass a command to the system to reflect the parameters. The server receives this command and overwrites the existing parameters with the contents of the external data. This process determines the final composition of the work.

[0204] 5. Emotion Engine Functions (Server)

[0205] The emotion engine recognizes the user's emotions and automatically adjusts parameters based on them. To do this, the emotion engine analyzes data such as the user's facial expressions and voice in real time and reflects the results in the parameters of the work.

[0206] 6. Displaying the final result (terminal)

[0207] The terminal displays the final state of the work. The server draws the latest state of the work in real time, allowing users to check the current state of the work at any time. For example, the current work is displayed as "Shape: Circle," "Color: Blue," "Pattern: Stripes," and "Dot Size: 10 pixels."

[0208] Specific examples

[0209] Consider a scenario in which a user creates a piece of pottery. When first setting the parameters, the user specifies the shape as "circle," the color as "red," the pattern as "stripes," and the dot size as "5 pixels." Data such as "blue" and "dot size as 10 pixels" are then imported from an external system and applied to the piece. Furthermore, the emotion engine recognizes the user's emotions and makes adjustments, such as making the colors more vivid if the user is excited. Finally, the piece is displayed as "shape: circle," "color: blue," "pattern: stripes," and "dot size: 10 pixels." The user can view the results on their device and make further adjustments as needed.

[0210] This system allows users to freely adjust their emotions and creative elements, and effectively utilize external data to efficiently create highly accurate works of art.

[0211] The processing flow will be explained below.

[0212] Step 1:

[0213] The server starts the program. The server creates an instance of the "ArtSimulationSystem" class and initializes the emotion engine. At this time, the dictionary variable self.artwork, which stores the artwork parameters, and the variable self.external_data, which stores external data, are initialized.

[0214] Step 2:

[0215] The user sets the parameters. The user specifies the shape, color, pattern, and dot size of the artwork through the terminal. The server receives these parameters using the set_parameters method and saves them in the self.artwork dictionary. For example, they might be saved as "Shape: Circle", "Color: Red", "Pattern: Stripes", and "Dot Size: 5 pixels".

[0216] Step 3:

[0217] The user imports data from an external system. The user uses the device to import data obtained from an external system. The server receives this data using the import_external_data method and saves it in self.external_data. For example, information such as "Color: Blue" and "Point size: 10 pixels" is saved.

[0218] Step 4:

[0219] The user applies external data to the artwork. The user calls the apply_external_data method from the device, and the server integrates the contents of self.external_data into self.artwork. This process overwrites the existing parameters with the external data, and the final parameters of the artwork are updated as follows:

[0220] python

[0221] self.artwork = {

[0222] 'shape': 'circle',

[0223] 'color': 'blue',

[0224] 'pattern': 'striped',

[0225] 'dot_size': 10

[0226] }

[0227] Step 5:

[0228] The server uses an emotion engine to recognize the user's emotions. The server analyzes data collected from devices such as cameras and microphones to determine the user's emotional state. For example, if the user is excited, the emotion engine will detect this.

[0229] Step 6:

[0230] The server automatically adjusts the parameters based on the results of the emotion engine. If the emotion engine recognizes the user's excitement, it will make the colors more vivid. The server will reflect this and readjust the parameters of the artwork.

[0231] Step 7:

[0232] The terminal displays the final result. The server returns the adjusted parameters of the artwork to the terminal, and presents the final state of the artwork to the user. For example, it is displayed as "Shape: Circle," "Color: Bright Blue," "Pattern: Stripes," and "Dot Size: 10 pixels." The user can check the final state of the artwork and make further adjustments if necessary.

[0233] Through these steps, the system allows users to freely set parameters and provides an advanced creative process that combines external data and emotion recognition.

[0234] Example 2

[0235] 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."

[0236] When creating artwork, it is time-consuming and inefficient for users to individually set the shape, color, pattern, and size of the dots, and also to import and utilize data from external systems. It is also often difficult to reflect the user's emotions in the creation of the artwork. A system that can solve these problems is needed.

[0237] 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.

[0238] In this invention, the server includes means for the user to set parameters for the shape, color, pattern, and dot size of the artwork, means for importing data from an external system, means for applying the imported data to the parameters set by the user, means for recognizing the user's emotions in real time and automatically adjusting the parameters, and means for displaying the final state of the artwork, thereby enabling users to efficiently and effectively create high-quality works of art.

[0239] "A means for users to set the shape, color, pattern, and dot size of the work as parameters" refers to a mechanism in which users input the basic attributes of the work through an interface and manage them within the system.

[0240] "Means for importing data from external systems" refers to a mechanism for importing necessary data from external drawing software or databases and making it available within the system.

[0241] "Means for applying imported data to parameters set by the user" refers to a mechanism for reflecting imported external data in parameters set by the user and using it as a component of the final work.

[0242] "Means for recognizing the user's emotions in real time and automatically adjusting parameters" refers to a system that uses sensors such as cameras and microphones to analyze the user's emotions and automatically adjusts the set parameters appropriately based on the analysis results.

[0243] The "means for displaying the final status of the work" is a system that displays the latest status of the work sent from the server on the terminal in real time, allowing the user to check the status.

[0244] "Storage means" refers to a data storage system that provides the functionality to save parameters set by the user and data imported from external systems, and to update them as necessary.

[0245] The present invention is a comprehensive system that allows users to create artworks efficiently and effectively. This system is composed of three entities: a server, a terminal, and a user, and includes the following means:

[0246] Program Description

[0247] 1. Starting the program (server)

[0248] The server starts the program, creating an instance of the system. Initial settings are made for the emotion engine and parameter setting management. The server loads dependent libraries and references specific configuration files to perform the initial settings. It also sets up the necessary database connections and APIs.

[0249] 2. Parameter settings (user)

[0250] The user inputs parameters such as the shape, color, pattern, and dot size of the work through the interface. This information is stored in a dictionary-type data structure. For example, if the user sets "circle," "red," "stripes," and "5 pixels," these parameters are stored in memory as key-value pairs.

[0251] 3. Importing external data (user)

[0252] The user imports data from an external drawing system, such as "blue color" and "point size 10 pixels." The imported data is stored in dedicated variables.

[0253] 4. Applying external data (user)

[0254] The user passes a command to the system to reflect the imported external data in the parameters. The server receives this command and overwrites the existing parameters with the contents of the external data, thereby determining the final composition of the work.

[0255] 5. Emotion Engine Functions (Server)

[0256] The emotion engine recognizes the user's emotions in real time and automatically adjusts parameters. This function captures facial and voice data through the camera and microphone, identifies emotions based on an analysis algorithm, and reflects the results in the parameters of the work.

[0257] 6. Displaying the final result (terminal)

[0258] The terminal displays the final state of the work, and the server generates visual data for the work based on the updated parameters and sends it to the terminal in real time. The user can check the current state of the work and make further adjustments if necessary.

[0259] Specific examples

[0260] For example, consider a user creating a piece of pottery. When initially setting the parameters, the user specifies the shape as "circle," the color as "red," the pattern as "stripes," and the dot size as "5 pixels." Data such as "blue" and "dot size as 10 pixels" are then imported from an external system and applied to the piece. Furthermore, the emotion engine recognizes the user's emotions and makes adjustments, such as making the colors more vivid if the user is excited. Finally, the piece is displayed as "shape: circle," "color: blue," "pattern: stripes," and "dot size: 10 pixels." The user can view the results on their device and make further adjustments as needed.

[0261] Prompt Sentence Examples

[0262] Example prompts to be fed to the generative AI model:

[0263] "To create a piece of pottery, the user set the shape as 'circle,' the color as 'red,' the pattern as 'stripes,' and the dot size as '5 pixels.' Data such as 'blue,' and 'dot size as 10 pixels' were imported from an external system and applied, and the emotion engine recognized the user's emotion and adjusted the parameters accordingly. Please explain this process."

[0264] This system allows users to fine-tune their emotions and creative elements, and effectively utilize external data to efficiently create highly accurate works of art.

[0265] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0266] Step 1:

[0267] The server starts the program. During this process, it loads the necessary dependent libraries and references specific configuration files to perform initial configuration. The server loads the database connection information and establishes the connection. The input to this process is the program startup command and configuration file, and the output is the system instance and a log that it is ready. Specifically, the program is executed from the server's command line and various services are initialized.

[0268] Step 2:

[0269] A user logs in to the system and accesses the dashboard. In the login process, the user enters their authentication information, the server performs authentication, and a successful authentication response is returned to the terminal. The input for this process is the user's authentication information, and the output is an authentication token and a successful login screen. Specifically, the user enters their user ID and password into the input form and clicks the "Login" button.

[0270] Step 3:

[0271] The user sets the parameters of the work's shape, color, pattern, and dot size. This parameter information is saved in a dictionary-type data structure. The input to this process is the set parameters, and the output is the saved parameter dictionary. Specifically, the user enters each parameter into the input field on the interface and clicks the "Set" button.

[0272] Step 4:

[0273] The user imports data from an external system. The imported data is saved in a dedicated variable. The input to this process is the data from the external system, and the output is the saved imported data. Specifically, the user selects the required data using the "Data Import" function of the external drawing system and clicks the "Import" button.

[0274] Step 5:

[0275] The user sends a command to the server to reflect the external data they have imported into the system. The server receives this command and overwrites the contents of the external data with the existing parameters. The input to this process is the reflection command and the external data, and the output is the updated parameters. Specifically, the user clicks the "Reflect Data" button and waits for a response from the server.

[0276] Step 6:

[0277] The emotion engine analyzes the user's emotions in real time and automatically adjusts parameters based on the obtained emotional data. The input for this process is the user's facial expressions and voice data, and the output is the adjusted parameters. Specifically, data is acquired using the device's camera and microphone and then input into the analysis algorithm.

[0278] Step 7:

[0279] The terminal displays the final state of the work. The server generates visual data for the work based on the updated parameters and sends it to the terminal. The input to this process is the updated parameters, and the output is the displayed state of the work. Specifically, the latest image of the work is displayed on the terminal display, and the user confirms it.

[0280] (Application example 2)

[0281] 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."

[0282] While modern industrial product manufacturing requires diverse designs and customization, there is a lack of intuitive ways for workers to set and adjust product designs. Furthermore, there is no technology that dynamically adjusts designs based on the worker's emotions. This hinders an efficient and creative design process, resulting in a decline in product quality and work efficiency.

[0283] 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.

[0284] In this invention, the server includes means for a user to set parameters for the shape, color, pattern, and dot size of the work, means for importing data from an external system, means for applying the imported data to the parameters set by the user, means for displaying the final state of the work, and means for recognizing the user's emotions using an emotion engine and automatically adjusting the setting parameters based on the emotions. This not only allows workers to intuitively set and adjust the design of industrial products, but also enables dynamic design adjustments according to the worker's emotions.

[0285] "Users" are individuals or corporations who operate the system and set the design parameters of the work.

[0286] "Shape of Work" means the outline or form of the work's appearance that can be configured or changed.

[0287] "Color" refers to the types and combinations of colors applied to a work.

[0288] A "pattern" is a visual pattern or design placed on the surface of a work.

[0289] "Dot size" refers to the size of the dots contained in a pattern or design.

[0290] A "means" is a device, apparatus, method, or process for achieving a particular purpose.

[0291] An "external system" is other software or hardware that exists outside the system and provides or receives data.

[0292] "External Data" is information imported from an external system and applied to parameters set by the user.

[0293] "Ingest" is the process of receiving data from an external system and making it available within the system.

[0294] "Reflect" means to apply the acquired data, apply it to the set parameters and display the results.

[0295] "Display" means to visually present to the user the state of the final work generated based on the settings and imported data.

[0296] The "emotion engine" is a component that has the ability to analyze the user's emotions and dynamically adjust parameters accordingly.

[0297] "Recognizing" is the process of acquiring and understanding the user's emotions and state using sensors and algorithms.

[0298] "Automatically adjust" means changing parameters based on predefined logic or algorithms without the need for manual intervention.

[0299] The system of the present invention provides comprehensive support for efficient and intuitive design and customization of industrial products. The system includes a user interface that allows an operator to set the shape, color, pattern, and dot size of the product. Specific embodiments for carrying out the present invention will be described below.

[0300] System Programming and Processing

[0301] 1. Server Functions

[0302] The server was developed in Python and runs as a web server using Flask. When the server starts, a system instance is created and the emotion engine (TensorFlow model) and design management system are initialized. The server also manages data import from external systems and applies it to parameters set by the user.

[0303] 2. User Operation

[0304] Using an interface accessible via a web browser, users can set the product's shape (e.g., square, circle), color (e.g., red, blue), pattern (e.g., dotted line, stripes), and dot size (e.g., 3 pixels, 10 pixels). Once the user enters these parameters, the information is sent to the server and stored in JSON format.

[0305] 3. Importing data from external systems

[0306] The server imports data from the external system selected by the user, analyzes it, and reflects it in the existing parameters. For example, if data such as "Color: Blue" and "Dot size: 6 pixels" is imported from the external system, it will overwrite the corresponding parameters on the server.

[0307] 4. Use of Emotion Engine

[0308] The server is equipped with an emotion engine that uses a camera using OpenCV and a highly sensitive microphone to analyze the user's emotions in real time. For example, if the user is excited, the emotion engine adjusts the colors to be more vivid.

[0309] 5. Displaying the final design

[0310] Based on the parameters set by the user and external data, the final design is displayed in real time in the web browser. To achieve this, the server generates the latest design state and displays it using JavaScript and HTML / CSS.

[0311] Specific examples

[0312] Let's take the example of a user designing an industrial product. The user first sets the shape to "rectangle," the color to "green," the pattern to "dotted line," and the dot size to "3 pixels." The user then imports "color: blue" and "dot size: 6 pixels" from an external design system, and the server reflects these in the existing parameters. Furthermore, the emotion engine analyzes the user's emotions and automatically adjusts the color to "brighter blue" if the user is excited, for example. The final generated design is displayed in a web browser as "shape: rectangle," "color: bright blue," "pattern: dotted line," and "dot size: 6 pixels." The user can review this design and make further adjustments as needed.

[0313] Example prompts for generative AI models

[0314] The user sets the parameters for designing an industrial product: the shape is square, the color is green, the pattern is dotted, and the dot size is 3 pixels. Next, parameters are imported from an external design system, overriding the color to blue and the dot size to 6 pixels. Finally, the emotion engine detects the user's excitement and automatically adjusts the color to a brighter blue. This process is implemented in code.

[0315] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0316] Step 1:

[0317] The server is started and a system instance is generated. The server is developed in Python and operates as a web server using Flask. In this step, the emotion engine (TensorFlow model) and design management system are initialized. This allows the server to accept requests from users and prepare for the next process. The input is the system startup instructions, and the output is the initialized system instance.

[0318] Step 2:

[0319] The user accesses the interface via a web browser and sets the product's shape, color, pattern, and dot size. The data entered by the user (e.g., "Shape: Square," "Color: Green," "Pattern: Dotted line," "Dot size: 3 pixels") is sent to the server in JSON format. In this step, the input is the parameters set by the user, and the output is the parameter information saved on the server.

[0320] Step 3:

[0321] The server imports data from an external system. It imports, analyzes, and saves data selected by the user from the external system. Examples of imported data include "Color: Blue" and "Dot Size: 6 pixels." This data overwrites the corresponding parameters on the server. In this step, the input is data from the external system, and the output is the updated parameter information.

[0322] Step 4:

[0323] The emotion engine on the server analyzes the user's emotions. It uses OpenCV and a high-sensitivity microphone to analyze the user's facial expressions and voice in real time using a camera and microphone. The emotion engine uses a TensorFlow model to recognize emotions and adjust parameters based on specific conditions, such as when the user is excited. In this step, the input is the user's facial expressions and voice, which are continuously acquired, and the output is the adjusted parameter information.

[0324] Step 5:

[0325] The server generates the final design of the industrial product based on the parameters set by the user and the parameters adjusted by the emotion engine. To display this on a web browser in real time, it uses JavaScript and HTML / CSS to perform the rendering process. The latest design state is displayed visually so that the user can check it. In this step, the input is the adjusted parameter information, and the output is a real-time display of the generated design.

[0326] Step 6:

[0327] The user checks the final design and makes further adjustments if necessary. New parameters are set again through the interface and sent to the server, which adjusts and generates the design again. In this step, the input is the new adjustment parameters made by the user, and the output is a display of the re-adjusted design.

[0328] 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.

[0329] 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.

[0330] 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.

[0331] [Second embodiment]

[0332] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0333] 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.

[0334] 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).

[0335] 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.

[0336] 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.

[0337] 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).

[0338] 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.

[0339] 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.

[0340] 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.

[0341] 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.

[0342] In the smart glasses 214, 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.

[0343] 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."

[0344] The system of the present invention provides comprehensive support for artists to efficiently and effectively advance their creative activities. This system allows users to freely set parameters for the shape, color, pattern, and dot size of their artwork. Furthermore, it is possible to import data from an external drawing system and incorporate that data into the artwork. Below, the main processing steps of the system are explained in natural language and presented in detail with concrete examples.

[0345] 1. Starting the program (server)

[0346] The server starts the program and generates an instance of the system, which prepares a mechanism for managing the parameter settings of the work and the import of external data.

[0347] 2. Parameter settings (user)

[0348] The user specifies the shape, color, pattern, and dot size of the work. This information is stored in a dictionary-style data structure managed within the system. For example, if the user specifies parameters such as "circle," "red," "stripes," and "5 pixels," this information is stored in the system as the basic components of the work.

[0349] 3. Importing external data (user)

[0350] The user imports data from an external drawing system. The external data includes information such as "blue color" and "point size 10 pixels." This data is stored in dedicated variables within the system and used for further processing.

[0351] 4. Applying external data (user)

[0352] After the user imports external data, they pass commands to the system to reflect the parameters. The server receives these commands and overwrites the existing parameters with the contents of the external data. This process determines the final composition of the work.

[0353] 5. Displaying the final result (terminal)

[0354] The device displays the final state of the work, allowing the user to check the current state of the work and make further adjustments if necessary.

[0355] Specific examples

[0356] Consider a scenario in which a user creates a piece of pottery. First, the user sets the shape of the piece to "circle," the color to "red," the pattern to "stripes," and the dot size to "5 pixels." Then, the user imports data such as "blue" and "dot size to 10 pixels" from an external system and applies it to the piece. Finally, the piece will have a shape of circle, a color of blue, a pattern to stripes, and dot size to 10 pixels. The results are displayed on the device, allowing the user to directly check the final shape of the piece.

[0357] This system allows users to freely adjust creative elements and effectively utilize external data to efficiently create highly accurate works of art.

[0358] The processing flow will be explained below.

[0359] Step 1:

[0360] The server launches the program. The server creates an instance of the "ArtSimulationSystem" class and performs initialization. At this time, the dictionary variable self.artwork, which stores the artwork's parameters, and the variable self.external_data, which stores external data, are initialized.

[0361] Step 2:

[0362] The user sets the parameters. The user specifies the shape, color, pattern, and dot size of the work and passes this information to the set_parameters method. The server receives this and saves it in the self.artwork dictionary. For example, if the user sets "Shape: Circle", "Color: Red", "Pattern: Stripes", and "Dot Size: 5 pixels", it will be saved as follows:

[0363] python

[0364] self.artwork = {

[0365] 'shape': 'circle',

[0366] 'color': 'red',

[0367] 'pattern': 'striped',

[0368] 'dot_size': 5

[0369] }

[0370] Step 3:

[0371] The user imports data from an external system. The user passes the data obtained from the external system to the import_external_data method. The server receives this and saves the external data in self.external_data. For example, if the external data is "Color: Blue" and "Point Size: 10 pixels", it will be saved as follows:

[0372] python

[0373] self.external_data = {

[0374] 'color': 'blue',

[0375] 'dot_size': 10

[0376] }

[0377] Step 4:

[0378] The user applies external data. The user calls the apply_external_data method, and the server merges the contents of self.external_data into self.artwork. In this process, the existing parameters are overwritten by the contents of the external data. This results in the parameters of the final artwork being as follows:

[0379] python

[0380] self.artwork = {

[0381] 'shape': 'circle',

[0382] 'color': 'blue',

[0383] 'pattern': 'striped',

[0384] 'dot_size': 10

[0385] }

[0386] Step 5:

[0387] The device displays the final result. The server calls the display_artwork method and returns the latest self.artwork content to the device. The user can use this information to check the final state of the artwork. For example, the current artwork is displayed as "Shape: Circle," "Color: Blue," "Pattern: Stripes," and "Dot Size: 10 pixels."

[0388] In this way, this system effectively combines parameters freely set by the user with external data to provide advanced support that allows users to check the status of the artwork in real time.

[0389] Example 1

[0390] 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."

[0391] In conventional art production systems, it was difficult to integrate user-set parameters with data from external systems, making it difficult to create works efficiently. Furthermore, there was a lack of a way to overwrite existing settings when importing data from external systems, requiring flexible responses to meet user needs. Furthermore, managing imported data and set parameters was cumbersome, preventing users from creating an environment that allowed them to concentrate on their creative activities.

[0392] 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.

[0393] In this invention, the server includes means for the user to set parameters for the shape, color, pattern, and dot size of the artwork; means for importing data from an external system; means for applying the imported data to the parameters set by the user; means for displaying the final state of the artwork; means for saving the parameters set by the user in a dictionary-type data structure; means for saving the data imported from the external system in dedicated variables; and means for overwriting existing parameters with external data based on a user's command. This makes it easy for users to integrate the set parameters with external data, enabling them to create artworks efficiently. Furthermore, data management is simplified, providing an environment in which users can concentrate on their creative activities.

[0394] "User" means an individual or entity that uses the System to set and manipulate the shape, color, pattern, and dot size of a work.

[0395] "Parameters" are the basic components set by the user, such as the shape, color, pattern, and size of the dots of the work.

[0396] "External system" refers to other rendering software or data sources that exist outside the system.

[0397] "Data Import Means" means the method or process by which data related to a work is imported into the system from an external system.

[0398] "Means of applying parameters" refers to the method or process by which imported external data is superimposed on or overwritten by existing parameters set by the user.

[0399] A "display means" is a means for visually presenting the final state of the work to a user, typically a computer display or a mobile device screen.

[0400] The "means for storing in a dictionary-type data structure" is a data structure for efficiently managing and storing set parameters in the form of keys and values.

[0401] The "means of saving to a dedicated variable" is a specific memory area or database field for temporarily or permanently storing imported external data.

[0402] "Means for overwriting existing parameters with external data on command" refers to a method or process for updating existing configured parameters with imported external data upon instruction from a user.

[0403] The system of the present invention provides comprehensive support for artists to efficiently and effectively advance their creative activities. This system allows users to freely set parameters for the shape, color, pattern, and dot size of their artwork. Furthermore, it is possible to import data from an external drawing system and reflect that data in the artwork. Below, we will explain the main processing steps of the system, including specific operations.

[0404] First, the server starts the application server software. Specifically, server software such as Apache or Nginx is typically used. Next, the server creates an instance of the system and places it in memory. This makes it ready to accept requests when a user accesses it. The server connects to a backend database (for example, MySQL or MongoDB) and loads and configures the initial data.

[0405] The device displays a parameter input screen to the user. Frameworks such as React, Angular, and Vue.js are often used for the front end. Here, the user inputs parameters such as shape, color, pattern, and dot size. For example, they can specify "circle," "red," "stripes," and "5 pixels." The server saves the parameters received from the user in a dictionary-type data structure and stores them as the basic components of the work. At the same time, they are also saved in a database.

[0406] Next, the user selects a data file to import from an external drawing system, such as Adobe Illustrator or Photoshop. The selected data file is uploaded from the device to the server. The server analyzes this data and saves new parameters (e.g., "blue color" and "dot size 10 pixels") in dedicated variables.

[0407] The user issues a command to import external data. The server receives this command and applies the external data to the existing parameters. Specifically, the server overwrites the existing parameters with the parameters from the external data, and the final composition of the work is determined. Finally, the server generates a preview image and data for the work based on the final parameters. The device displays the generated preview to the user. Here, real-time drawing can be performed using the Canvas API or WebGL. The user can check the final result displayed and make further adjustments if necessary. The final work data is saved.

[0408] As a specific example, consider a scenario in which a user creates a piece of pottery. First, the device displays a parameter input screen, and the user inputs the shape as "circle," the color as "red," the pattern as "stripes," and the dot size as "5 pixels." The user then imports data created in an external drawing system (e.g., Adobe Illustrator) for "blue" and a dot size of 10 pixels, and applies it to the piece. The server generates a preview of the piece after the settings are applied, and the device displays it. The user can then check the displayed piece and make adjustments.

[0409] An example of a prompt is:

[0410] 1. "Create a circular ceramic piece with red, striped patterns, and dots 5 pixels in size."

[0411] 2. "Import blue color data with a dot size of 10 pixels from an external drawing system and apply it to the current work."

[0412] This prompt allows the generative AI model to provide appropriate artistic production assistance based on the set parameters and external data.

[0413] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0414] Step 1: Starting the program (server)

[0415] The server starts the application server software (for example, Apache or Nginx). The server creates an instance of the system and prepares it for initial configuration. Specifically, the server places the system instance in memory and connects to a backend database (for example, MySQL or MongoDB), loading and configuring the initial data. The inputs are the system configuration files and database connection information, and the output is a working system.

[0416] Step 2: Display the parameter input screen (terminal)

[0417] The terminal displays a parameter input screen to the user. Frameworks such as React, Angular, and Vue.js are used for the front end. The screen displays input fields for things like shape, color, pattern, and point size. For input, the user must access a specific URL or application, and the parameter input screen is displayed as output.

[0418] Step 3: Entering parameters (user)

[0419] The user inputs parameters such as shape, color, pattern, and dot size. For example, they can specify "circle," "red," "stripes," and "5 pixels." For input, the user enters this information into the input fields and clicks the submit button. For output, the input parameters are collected by the front end.

[0420] Step 4: Saving input data (server)

[0421] The server stores the parameters received from the user in a dictionary-type data structure and also stores them in a database. As input, parameter data sent by the user is provided, and as output, this is stored in a dictionary-type data structure and a database within the system.

[0422] Step 5: Select External Data (User)

[0423] The user selects a data file to import from an external drawing system (e.g., Adobe Illustrator or Photoshop). As input, the user selects a file from their local file system or cloud storage. As output, the selected file path or file data is displayed on the terminal.

[0424] Step 6: Upload data files (terminal)

[0425] The device uploads the selected data file to the server, typically using an HTTP POST request. As input, the user-selected file data is provided, and as output, the file is uploaded to the server.

[0426] Step 7: Storing external data (server)

[0427] The server analyzes the uploaded file and saves the new parameters (e.g. "blue color" and "dot size 10 pixels") in dedicated variables. As input, the uploaded file data is provided, and as output, the new parameters are saved in dedicated variables.

[0428] Step 8: Issue application command (user)

[0429] The user issues a command to import external data using a button on the GUI, etc. The input is the user clicking the apply button, and the output is the command sent to the server.

[0430] Step 9: Accepting the command (server)

[0431] The server receives a command from the user and starts the process of applying external data to existing parameters. The application command from the user is provided as input, and a processing completion status is generated as output.

[0432] Step 10: Overriding Parameters (Server)

[0433] The server overwrites the existing parameters with external data parameters. As input, the existing parameters and new data parameters are provided, and as output, the final parameters are determined.

[0434] Step 11: Generate the final state (server)

[0435] The server generates preview images and data of the work based on the final parameters. The final parameters are provided as input, and preview images and data are generated as output.

[0436] Step 12: View Preview (Device)

[0437] The device displays the generated preview to the user. Here, real-time drawing can be performed using the Canvas API or WebGL. As input, preview images or data provided by the server are required, and as output, the preview is displayed to the user.

[0438] Step 13: Adjust and save (user)

[0439] The user checks the displayed final result, makes further adjustments if necessary, and then saves the final work data. The final adjustment parameters are provided as input, and the saved work data is generated as output.

[0440] (Application example 1)

[0441] 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."

[0442] In virtual stores, there is a lack of methods for users to efficiently create digital artworks, adjust and check them in real time using external data, and exhibit and sell them. There is also a need for a system that can instantly update and check the status of artworks using multiple devices (smartphones and head-mounted displays). Conventional systems require users to manually import external data and overwrite parameters, which is inefficient for users.

[0443] 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.

[0444] In this invention, the server includes a means for allowing a user to set parameters for the shape, color, pattern, and dot size of the artwork, a means for importing data from an external system, a means for applying the imported data to the parameters set by the user, a means for displaying the final state of the artwork, and a means for adjusting the imported data in real time and exhibiting and selling the artwork in a virtual store using a smartphone or head-mounted display. This allows users to efficiently create digital artworks, import and adjust external data in real time, and instantly exhibit and sell the artworks in a virtual store using multiple devices.

[0445] "User" means any individual or entity that uses the System to create, modify, and exhibit digital artworks.

[0446] "Work" refers to a digital art or design created by a user by setting parameters.

[0447] "Shape" refers to the appearance or outline of the work, and indicates the form, such as circle, square, or triangle.

[0448] "Color" is a general term for the shades and color schemes in a work, and refers to specific colors such as red, blue, and green.

[0449] "Pattern" refers to the patterns or designs that appear on the surface of the work, and can include stripes, waves, dots, etc.

[0450] "Dot size" is a parameter that indicates the size of the dots contained in the work, and is expressed in pixels.

[0451] "External systems" refer to digital drawing tools or databases that exist outside the system and that users use to import data.

[0452] "Data" is a general term for information imported from external systems, including setting values ​​such as color, shape, and pattern.

[0453] "Parameters" refers to the individual settings for determining the shape, color, pattern, and dot size of the work.

[0454] "Real-time adjustments" means that changes are reflected in the system immediately and users can see the results immediately.

[0455] A "smartphone" is a small portable information terminal with internet connectivity, and is a device used to set up and display works.

[0456] A "head-mounted display" is a display device worn on the head, and is used to display the state of the work in 3D or AR format.

[0457] A "virtual store" is a virtual sales location that exists on the Internet and is a platform where users can exhibit and sell digital artworks.

[0458] The system for realizing this invention is composed of a server, a smartphone, and a head-mounted display (HMD), and is used to create, adjust, display, and exhibit digital artworks. The system of the present invention includes the following main components:

[0459] server

[0460] The server provides an interface that allows users to set parameters for the shape, color, pattern, and dot size of their digital artwork. It also has an API and data import function for importing data from external systems, making it possible to import data from external drawing tools and databases. The imported data is applied in real time to the parameters set by the user, allowing for smooth adjustments to the artwork.

[0461] Smartphones and Head-Mounted Displays (HMDs)

[0462] Smartphones and HMDs are devices that use an interface provided by the server to set up and adjust artworks. These devices display the final state of the artwork in real time. They also provide a UI (user interface) that allows users to check the state of the artwork and make immediate adjustments. Through these devices, users can check digital artworks in real time and exhibit and sell them in a virtual store.

[0463] Data capture and application

[0464] When a user imports data from an external system, that data is saved in a dedicated variable on the server. For example, if a user sets the parameters "circle," "red," "stripes," and "5 pixels," that information is saved in a dictionary-type data structure on the server. If data such as "blue" and "dot size 10 pixels" are imported from an external system, this data is also saved in a dedicated variable, allowing existing parameters to be overwritten in subsequent processing. This automatically updates the composition of the work and displays it in its final state on the device.

[0465] Specific examples

[0466] For example, when a user creates a piece of pottery, the initial settings are "circle" shape, "red" color, "stripes" pattern, and "5 pixel dot size." Data such as "blue" and "10 pixel dot size" are then imported from an external system and applied to the piece. As a result, the piece will have a circle shape, blue color, stripes pattern, and 10 pixel dot size. The results are displayed on the user's device, allowing the user to check the final piece and exhibit and sell it in a virtual store.

[0467] Prompt Sentence Examples

[0468] "The initial settings for the artwork shape are circle, color red, pattern stripes, and dot size 5 pixels. Next, import external data with blue color and dot size 10 pixels and apply it."

[0469] This specification shows the detailed configuration of the system and its implementation, but the server's API, data import function, and UI design for smartphones and HMDs can be flexibly designed for actual implementation. This allows users to efficiently create digital artworks and exhibit and sell them in a virtual store.

[0470] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0471] Step 1:

[0472] The server starts the program and creates an instance of the system.

[0473] Specifically, the server performs initialization processing for the entire system and creates an environment for managing the parameter settings of the work and the import of external data.

[0474] Input: None

[0475] Output: System initialization complete, instantiation

[0476] Step 2:

[0477] The user sets the shape, color, pattern, and size of the dots of the work as parameters using a smartphone or head-mounted display.

[0478] As a specific operation, the user inputs specific parameters (e.g., "circle," "red," "stripes," "5 pixels") through the interface.

[0479] Input: Specific parameters of shape, color, pattern, and dot size

[0480] Output: The configured parameters are sent to the server and stored in a dictionary data structure.

[0481] Step 3:

[0482] A user imports data from an external system.

[0483] Specifically, the user accesses an external system, obtains the necessary data (e.g., "blue color" and "dot size 10 pixels"), and imports it into the system.

[0484] Input: Data from an external system

[0485] Output: The captured data is saved in a dedicated variable on the server.

[0486] Step 4:

[0487] The server applies the retrieved data to the existing parameters.

[0488] Specifically, the server receives the user's command and overwrites the existing parameters with the imported data.

[0489] Input: Imported data, existing parameters

[0490] Output: Overridden parameters

[0491] Step 5:

[0492] The device (smartphone or HMD) displays the final state of the work.

[0493] Specifically, the server sends the overwritten parameters to the terminal, and the terminal displays the latest work status based on the overwritten parameters.

[0494] Input: Overridden parameters

[0495] Output: The final product displayed on the device

[0496] Step 6:

[0497] The user reviews the final product and makes further adjustments if necessary.

[0498] Specifically, the user may check the displayed work and set parameters or import data again.

[0499] Input: Final work state displayed

[0500] Output: Any further adjustments or final decisions required by the user

[0501] This process allows users to efficiently create digital artworks, adjust and display them in real time, and ultimately display and sell them in a virtual store.

[0502] 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.

[0503] The system of the present invention provides comprehensive support for artists to efficiently and effectively advance their creative activities. The system allows users to freely set parameters for the shape, color, pattern, and dot size of their artwork. It also allows users to import data from external drawing systems and apply that data to existing parameters to reflect the artwork. Furthermore, the system incorporates an emotion engine that recognizes the user's emotions, automatically adjusting parameters based on the user's emotions, allowing for more advanced customization of the creative process.

[0504] Program processing

[0505] 1. Starting the program (server)

[0506] The server starts the program and generates an instance of the system. This instantiation initializes the emotion engine and prepares a mechanism for managing the parameter settings of the work and the import of external data.

[0507] 2. Parameter settings (user)

[0508] The user sets the specific shape, color, pattern, and dot size of the work. This information is stored in a dictionary-type data structure managed within the system. For example, if a user sets the parameters as "circle," "red," "stripes," and "5 pixels," this information is stored in the system as the basic components of the work.

[0509] 3. Importing external data (user)

[0510] The user imports data from an external drawing system. The external data includes information such as "blue color" and "point size 10 pixels." This data is stored in dedicated variables within the system and used for further processing.

[0511] 4. Applying external data (user)

[0512] After the user imports external data, they pass a command to the system to reflect the parameters. The server receives this command and overwrites the existing parameters with the contents of the external data. This process determines the final composition of the work.

[0513] 5. Emotion Engine Functions (Server)

[0514] The emotion engine recognizes the user's emotions and automatically adjusts parameters based on them. To do this, the emotion engine analyzes data such as the user's facial expressions and voice in real time and reflects the results in the parameters of the work.

[0515] 6. Displaying the final result (terminal)

[0516] The terminal displays the final state of the work. The server draws the latest state of the work in real time, allowing users to check the current state of the work at any time. For example, the current work is displayed as "Shape: Circle," "Color: Blue," "Pattern: Stripes," and "Dot Size: 10 pixels."

[0517] Specific examples

[0518] Consider a scenario in which a user creates a piece of pottery. When first setting the parameters, the user specifies the shape as "circle," the color as "red," the pattern as "stripes," and the dot size as "5 pixels." Data such as "blue" and "dot size as 10 pixels" are then imported from an external system and applied to the piece. Furthermore, the emotion engine recognizes the user's emotions and makes adjustments, such as making the colors more vivid if the user is excited. Finally, the piece is displayed as "shape: circle," "color: blue," "pattern: stripes," and "dot size: 10 pixels." The user can view the results on their device and make further adjustments as needed.

[0519] This system allows users to freely adjust their emotions and creative elements, and effectively utilize external data to efficiently create highly accurate works of art.

[0520] The processing flow will be explained below.

[0521] Step 1:

[0522] The server starts the program. The server creates an instance of the "ArtSimulationSystem" class and initializes the emotion engine. At this time, the dictionary variable self.artwork, which stores the artwork parameters, and the variable self.external_data, which stores external data, are initialized.

[0523] Step 2:

[0524] The user sets the parameters. The user specifies the shape, color, pattern, and dot size of the artwork through the terminal. The server receives these parameters using the set_parameters method and saves them in the self.artwork dictionary. For example, they might be saved as "Shape: Circle", "Color: Red", "Pattern: Stripes", and "Dot Size: 5 pixels".

[0525] Step 3:

[0526] The user imports data from an external system. The user uses the device to import data obtained from an external system. The server receives this data using the import_external_data method and saves it in self.external_data. For example, information such as "Color: Blue" and "Point size: 10 pixels" is saved.

[0527] Step 4:

[0528] The user applies external data to the artwork. The user calls the apply_external_data method from the device, and the server integrates the contents of self.external_data into self.artwork. This process overwrites the existing parameters with the external data, and the final parameters of the artwork are updated as follows:

[0529] python

[0530] self.artwork = {

[0531] 'shape': 'circle',

[0532] 'color': 'blue',

[0533] 'pattern': 'striped',

[0534] 'dot_size': 10

[0535] }

[0536] Step 5:

[0537] The server uses an emotion engine to recognize the user's emotions. The server analyzes data collected from devices such as cameras and microphones to determine the user's emotional state. For example, if the user is excited, the emotion engine will detect this.

[0538] Step 6:

[0539] The server automatically adjusts the parameters based on the results of the emotion engine. If the emotion engine recognizes the user's excitement, it will make the colors more vivid. The server will reflect this and readjust the parameters of the artwork.

[0540] Step 7:

[0541] The terminal displays the final result. The server returns the adjusted parameters of the artwork to the terminal, and presents the final state of the artwork to the user. For example, it is displayed as "Shape: Circle," "Color: Bright Blue," "Pattern: Stripes," and "Dot Size: 10 pixels." The user can check the final state of the artwork and make further adjustments if necessary.

[0542] Through these steps, the system allows users to freely set parameters and provides an advanced creative process that combines external data and emotion recognition.

[0543] Example 2

[0544] 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."

[0545] When creating artwork, it is time-consuming and inefficient for users to individually set the shape, color, pattern, and size of the dots, and also to import and utilize data from external systems. It is also often difficult to reflect the user's emotions in the creation of the artwork. A system that can solve these problems is needed.

[0546] 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.

[0547] In this invention, the server includes means for the user to set parameters for the shape, color, pattern, and dot size of the artwork, means for importing data from an external system, means for applying the imported data to the parameters set by the user, means for recognizing the user's emotions in real time and automatically adjusting the parameters, and means for displaying the final state of the artwork, thereby enabling users to efficiently and effectively create high-quality works of art.

[0548] "A means for users to set the shape, color, pattern, and dot size of the work as parameters" refers to a mechanism in which users input the basic attributes of the work through an interface and manage them within the system.

[0549] "Means for importing data from external systems" refers to a mechanism for importing necessary data from external drawing software or databases and making it available within the system.

[0550] "Means for applying imported data to parameters set by the user" refers to a mechanism for reflecting imported external data in parameters set by the user and using it as a component of the final work.

[0551] "Means for recognizing the user's emotions in real time and automatically adjusting parameters" refers to a system that uses sensors such as cameras and microphones to analyze the user's emotions and automatically adjusts the set parameters appropriately based on the analysis results.

[0552] The "means for displaying the final status of the work" is a system that displays the latest status of the work sent from the server on the terminal in real time, allowing the user to check the status.

[0553] "Storage means" refers to a data storage system that provides the functionality to save parameters set by the user and data imported from external systems, and to update them as necessary.

[0554] The present invention is a comprehensive system that allows users to create artworks efficiently and effectively. This system is composed of three entities: a server, a terminal, and a user, and includes the following means:

[0555] Program Description

[0556] 1. Starting the program (server)

[0557] The server starts the program, creating an instance of the system. Initial settings are made for the emotion engine and parameter setting management. The server loads dependent libraries and references specific configuration files to perform the initial settings. It also sets up the necessary database connections and APIs.

[0558] 2. Parameter settings (user)

[0559] The user inputs parameters such as the shape, color, pattern, and dot size of the work through the interface. This information is stored in a dictionary-type data structure. For example, if the user sets "circle," "red," "stripes," and "5 pixels," these parameters are stored in memory as key-value pairs.

[0560] 3. Importing external data (user)

[0561] The user imports data from an external drawing system, such as "blue color" and "point size 10 pixels." The imported data is stored in dedicated variables.

[0562] 4. Applying external data (user)

[0563] The user passes a command to the system to reflect the imported external data in the parameters. The server receives this command and overwrites the existing parameters with the contents of the external data, thereby determining the final composition of the work.

[0564] 5. Emotion Engine Functions (Server)

[0565] The emotion engine recognizes the user's emotions in real time and automatically adjusts parameters. This function captures facial and voice data through the camera and microphone, identifies emotions based on an analysis algorithm, and reflects the results in the parameters of the work.

[0566] 6. Displaying the final result (terminal)

[0567] The terminal displays the final state of the work, and the server generates visual data for the work based on the updated parameters and sends it to the terminal in real time. The user can check the current state of the work and make further adjustments if necessary.

[0568] Specific examples

[0569] For example, consider a user creating a piece of pottery. When initially setting the parameters, the user specifies the shape as "circle," the color as "red," the pattern as "stripes," and the dot size as "5 pixels." Data such as "blue" and "dot size as 10 pixels" are then imported from an external system and applied to the piece. Furthermore, the emotion engine recognizes the user's emotions and makes adjustments, such as making the colors more vivid if the user is excited. Finally, the piece is displayed as "shape: circle," "color: blue," "pattern: stripes," and "dot size: 10 pixels." The user can view the results on their device and make further adjustments as needed.

[0570] Prompt Sentence Examples

[0571] Example prompts to be fed to the generative AI model:

[0572] "To create a piece of pottery, the user set the shape as 'circle,' the color as 'red,' the pattern as 'stripes,' and the dot size as '5 pixels.' Data such as 'blue,' and 'dot size as 10 pixels' were imported from an external system and applied, and the emotion engine recognized the user's emotion and adjusted the parameters accordingly. Please explain this process."

[0573] This system allows users to fine-tune their emotions and creative elements, and effectively utilize external data to efficiently create highly accurate works of art.

[0574] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0575] Step 1:

[0576] The server starts the program. During this process, it loads the necessary dependent libraries and references specific configuration files to perform initial configuration. The server loads the database connection information and establishes the connection. The input to this process is the program startup command and configuration file, and the output is the system instance and a log that it is ready. Specifically, the program is executed from the server's command line and various services are initialized.

[0577] Step 2:

[0578] A user logs in to the system and accesses the dashboard. In the login process, the user enters their authentication information, the server performs authentication, and a successful authentication response is returned to the terminal. The input for this process is the user's authentication information, and the output is an authentication token and a successful login screen. Specifically, the user enters their user ID and password into the input form and clicks the "Login" button.

[0579] Step 3:

[0580] The user sets the parameters of the work's shape, color, pattern, and dot size. This parameter information is saved in a dictionary-type data structure. The input to this process is the set parameters, and the output is the saved parameter dictionary. Specifically, the user enters each parameter into the input field on the interface and clicks the "Set" button.

[0581] Step 4:

[0582] The user imports data from an external system. The imported data is saved in a dedicated variable. The input to this process is the data from the external system, and the output is the saved imported data. Specifically, the user selects the required data using the "Data Import" function of the external drawing system and clicks the "Import" button.

[0583] Step 5:

[0584] The user sends a command to the server to reflect the external data they have imported into the system. The server receives this command and overwrites the contents of the external data with the existing parameters. The input to this process is the reflection command and the external data, and the output is the updated parameters. Specifically, the user clicks the "Reflect Data" button and waits for a response from the server.

[0585] Step 6:

[0586] The emotion engine analyzes the user's emotions in real time and automatically adjusts parameters based on the obtained emotional data. The input for this process is the user's facial expressions and voice data, and the output is the adjusted parameters. Specifically, data is acquired using the device's camera and microphone and then input into the analysis algorithm.

[0587] Step 7:

[0588] The terminal displays the final state of the work. The server generates visual data for the work based on the updated parameters and sends it to the terminal. The input to this process is the updated parameters, and the output is the displayed state of the work. Specifically, the latest image of the work is displayed on the terminal display, and the user confirms it.

[0589] (Application example 2)

[0590] 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."

[0591] While modern industrial product manufacturing requires diverse designs and customization, there is a lack of intuitive ways for workers to set and adjust product designs. Furthermore, there is no technology that dynamically adjusts designs based on the worker's emotions. This hinders an efficient and creative design process, resulting in a decline in product quality and work efficiency.

[0592] 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.

[0593] In this invention, the server includes means for a user to set parameters for the shape, color, pattern, and dot size of the work, means for importing data from an external system, means for applying the imported data to the parameters set by the user, means for displaying the final state of the work, and means for recognizing the user's emotions using an emotion engine and automatically adjusting the setting parameters based on the emotions. This not only allows workers to intuitively set and adjust the design of industrial products, but also enables dynamic design adjustments according to the worker's emotions.

[0594] "Users" are individuals or corporations who operate the system and set the design parameters of the work.

[0595] "Shape of Work" means the outline or form of the work's appearance that can be configured or changed.

[0596] "Color" refers to the types and combinations of colors applied to a work.

[0597] A "pattern" is a visual pattern or design placed on the surface of a work.

[0598] "Dot size" refers to the size of the dots contained in a pattern or design.

[0599] A "means" is a device, apparatus, method, or process for achieving a particular purpose.

[0600] An "external system" is other software or hardware that exists outside the system and provides or receives data.

[0601] "External Data" is information imported from an external system and applied to parameters set by the user.

[0602] "Ingest" is the process of receiving data from an external system and making it available within the system.

[0603] "Reflect" means to apply the acquired data, apply it to the set parameters and display the results.

[0604] "Display" means to visually present to the user the state of the final work generated based on the settings and imported data.

[0605] The "emotion engine" is a component that has the ability to analyze the user's emotions and dynamically adjust parameters accordingly.

[0606] "Recognizing" is the process of acquiring and understanding the user's emotions and state using sensors and algorithms.

[0607] "Automatically adjust" means changing parameters based on predefined logic or algorithms without the need for manual intervention.

[0608] The system of the present invention provides comprehensive support for efficient and intuitive design and customization of industrial products. The system includes a user interface that allows an operator to set the shape, color, pattern, and dot size of the product. Specific embodiments for carrying out the present invention will be described below.

[0609] System Programming and Processing

[0610] 1. Server Functions

[0611] The server was developed in Python and runs as a web server using Flask. When the server starts, a system instance is created and the emotion engine (TensorFlow model) and design management system are initialized. The server also manages data import from external systems and applies it to parameters set by the user.

[0612] 2. User Operation

[0613] Using an interface accessible via a web browser, users can set the product's shape (e.g., square, circle), color (e.g., red, blue), pattern (e.g., dotted line, stripes), and dot size (e.g., 3 pixels, 10 pixels). Once the user enters these parameters, the information is sent to the server and stored in JSON format.

[0614] 3. Importing data from external systems

[0615] The server imports data from the external system selected by the user, analyzes it, and reflects it in the existing parameters. For example, if data such as "Color: Blue" and "Dot size: 6 pixels" is imported from the external system, it will overwrite the corresponding parameters on the server.

[0616] 4. Use of Emotion Engine

[0617] The server is equipped with an emotion engine that uses a camera using OpenCV and a highly sensitive microphone to analyze the user's emotions in real time. For example, if the user is excited, the emotion engine adjusts the colors to be more vivid.

[0618] 5. Displaying the final design

[0619] Based on the parameters set by the user and external data, the final design is displayed in real time in the web browser. To achieve this, the server generates the latest design state and displays it using JavaScript and HTML / CSS.

[0620] Specific examples

[0621] Let's take the example of a user designing an industrial product. The user first sets the shape to "rectangle," the color to "green," the pattern to "dotted line," and the dot size to "3 pixels." The user then imports "color: blue" and "dot size: 6 pixels" from an external design system, and the server reflects these in the existing parameters. Furthermore, the emotion engine analyzes the user's emotions and automatically adjusts the color to "brighter blue" if the user is excited, for example. The final generated design is displayed in a web browser as "shape: rectangle," "color: bright blue," "pattern: dotted line," and "dot size: 6 pixels." The user can review this design and make further adjustments as needed.

[0622] Example prompts for generative AI models

[0623] The user sets the parameters for designing an industrial product: the shape is square, the color is green, the pattern is dotted, and the dot size is 3 pixels. Next, parameters are imported from an external design system, overriding the color to blue and the dot size to 6 pixels. Finally, the emotion engine detects the user's excitement and automatically adjusts the color to a brighter blue. This process is implemented in code.

[0624] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0625] Step 1:

[0626] The server is started and a system instance is generated. The server is developed in Python and operates as a web server using Flask. In this step, the emotion engine (TensorFlow model) and design management system are initialized. This allows the server to accept requests from users and prepare for the next process. The input is the system startup instructions, and the output is the initialized system instance.

[0627] Step 2:

[0628] The user accesses the interface via a web browser and sets the product's shape, color, pattern, and dot size. The data entered by the user (e.g., "Shape: Square," "Color: Green," "Pattern: Dotted line," "Dot size: 3 pixels") is sent to the server in JSON format. In this step, the input is the parameters set by the user, and the output is the parameter information saved on the server.

[0629] Step 3:

[0630] The server imports data from an external system. It imports, analyzes, and saves data selected by the user from the external system. Examples of imported data include "Color: Blue" and "Dot Size: 6 pixels." This data overwrites the corresponding parameters on the server. In this step, the input is data from the external system, and the output is the updated parameter information.

[0631] Step 4:

[0632] The emotion engine on the server analyzes the user's emotions. It uses OpenCV and a high-sensitivity microphone to analyze the user's facial expressions and voice in real time using a camera and microphone. The emotion engine uses a TensorFlow model to recognize emotions and adjust parameters based on specific conditions, such as when the user is excited. In this step, the input is the user's facial expressions and voice, which are continuously acquired, and the output is the adjusted parameter information.

[0633] Step 5:

[0634] The server generates the final design of the industrial product based on the parameters set by the user and the parameters adjusted by the emotion engine. To display this on a web browser in real time, it uses JavaScript and HTML / CSS to perform the rendering process. The latest design state is displayed visually so that the user can check it. In this step, the input is the adjusted parameter information, and the output is a real-time display of the generated design.

[0635] Step 6:

[0636] The user checks the final design and makes further adjustments if necessary. New parameters are set again through the interface and sent to the server, which adjusts and generates the design again. In this step, the input is the new adjustment parameters made by the user, and the output is a display of the re-adjusted design.

[0637] 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.

[0638] 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.

[0639] 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.

[0640] [Third embodiment]

[0641] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0642] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0643] 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).

[0644] 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.

[0645] 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.

[0646] 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).

[0647] 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.

[0648] 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.

[0649] 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.

[0650] 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.

[0651] 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.

[0652] 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."

[0653] The system of the present invention provides comprehensive support for artists to efficiently and effectively advance their creative activities. This system allows users to freely set parameters for the shape, color, pattern, and dot size of their artwork. Furthermore, it is possible to import data from an external drawing system and incorporate that data into the artwork. Below, the main processing steps of the system are explained in natural language and presented in detail with concrete examples.

[0654] 1. Starting the program (server)

[0655] The server starts the program and generates an instance of the system, which prepares a mechanism for managing the parameter settings of the work and the import of external data.

[0656] 2. Parameter settings (user)

[0657] The user specifies the shape, color, pattern, and dot size of the work. This information is stored in a dictionary-style data structure managed within the system. For example, if the user specifies parameters such as "circle," "red," "stripes," and "5 pixels," this information is stored in the system as the basic components of the work.

[0658] 3. Importing external data (user)

[0659] The user imports data from an external drawing system. The external data includes information such as "blue color" and "point size 10 pixels." This data is stored in dedicated variables within the system and used for further processing.

[0660] 4. Applying external data (user)

[0661] After the user imports external data, they pass commands to the system to reflect the parameters. The server receives these commands and overwrites the existing parameters with the contents of the external data. This process determines the final composition of the work.

[0662] 5. Displaying the final result (terminal)

[0663] The device displays the final state of the work, allowing the user to check the current state of the work and make further adjustments if necessary.

[0664] Specific examples

[0665] Consider a scenario in which a user creates a piece of pottery. First, the user sets the shape of the piece to "circle," the color to "red," the pattern to "stripes," and the dot size to "5 pixels." Then, the user imports data such as "blue" and "dot size to 10 pixels" from an external system and applies it to the piece. Finally, the piece will have a shape of circle, a color of blue, a pattern to stripes, and dot size to 10 pixels. The results are displayed on the device, allowing the user to directly check the final shape of the piece.

[0666] This system allows users to freely adjust creative elements and effectively utilize external data to efficiently create highly accurate works of art.

[0667] The processing flow will be explained below.

[0668] Step 1:

[0669] The server launches the program. The server creates an instance of the "ArtSimulationSystem" class and performs initialization. At this time, the dictionary variable self.artwork, which stores the artwork's parameters, and the variable self.external_data, which stores external data, are initialized.

[0670] Step 2:

[0671] The user sets the parameters. The user specifies the shape, color, pattern, and dot size of the work and passes this information to the set_parameters method. The server receives this and saves it in the self.artwork dictionary. For example, if the user sets "Shape: Circle", "Color: Red", "Pattern: Stripes", and "Dot Size: 5 pixels", it will be saved as follows:

[0672] python

[0673] self.artwork = {

[0674] 'shape': 'circle',

[0675] 'color': 'red',

[0676] 'pattern': 'striped',

[0677] 'dot_size': 5

[0678] }

[0679] Step 3:

[0680] The user imports data from an external system. The user passes the data obtained from the external system to the import_external_data method. The server receives this and saves the external data in self.external_data. For example, if the external data is "Color: Blue" and "Point Size: 10 pixels", it will be saved as follows:

[0681] python

[0682] self.external_data = {

[0683] 'color': 'blue',

[0684] 'dot_size': 10

[0685] }

[0686] Step 4:

[0687] The user applies external data. The user calls the apply_external_data method, and the server merges the contents of self.external_data into self.artwork. In this process, the existing parameters are overwritten by the contents of the external data. This results in the parameters of the final artwork being as follows:

[0688] python

[0689] self.artwork = {

[0690] 'shape': 'circle',

[0691] 'color': 'blue',

[0692] 'pattern': 'striped',

[0693] 'dot_size': 10

[0694] }

[0695] Step 5:

[0696] The device displays the final result. The server calls the display_artwork method and returns the latest self.artwork content to the device. The user can use this information to check the final state of the artwork. For example, the current artwork is displayed as "Shape: Circle," "Color: Blue," "Pattern: Stripes," and "Dot Size: 10 pixels."

[0697] In this way, this system effectively combines parameters freely set by the user with external data to provide advanced support that allows users to check the status of the artwork in real time.

[0698] Example 1

[0699] 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."

[0700] In conventional art production systems, it was difficult to integrate user-set parameters with data from external systems, making it difficult to create works efficiently. Furthermore, there was a lack of a way to overwrite existing settings when importing data from external systems, requiring flexible responses to meet user needs. Furthermore, managing imported data and set parameters was cumbersome, preventing users from creating an environment that allowed them to concentrate on their creative activities.

[0701] 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.

[0702] In this invention, the server includes means for the user to set parameters for the shape, color, pattern, and dot size of the artwork; means for importing data from an external system; means for applying the imported data to the parameters set by the user; means for displaying the final state of the artwork; means for saving the parameters set by the user in a dictionary-type data structure; means for saving the data imported from the external system in dedicated variables; and means for overwriting existing parameters with external data based on a user's command. This makes it easy for users to integrate the set parameters with external data, enabling them to create artworks efficiently. Furthermore, data management is simplified, providing an environment in which users can concentrate on their creative activities.

[0703] "User" means an individual or entity that uses the System to set and manipulate the shape, color, pattern, and dot size of a work.

[0704] "Parameters" are the basic components set by the user, such as the shape, color, pattern, and size of the dots of the work.

[0705] "External system" refers to other rendering software or data sources that exist outside the system.

[0706] "Data Import Means" means the method or process by which data related to a work is imported into the system from an external system.

[0707] "Means of applying parameters" refers to the method or process by which imported external data is superimposed on or overwritten by existing parameters set by the user.

[0708] A "display means" is a means for visually presenting the final state of the work to a user, typically a computer display or a mobile device screen.

[0709] The "means for storing in a dictionary-type data structure" is a data structure for efficiently managing and storing set parameters in the form of keys and values.

[0710] The "means of saving to a dedicated variable" is a specific memory area or database field for temporarily or permanently storing imported external data.

[0711] "Means for overwriting existing parameters with external data on command" refers to a method or process for updating existing configured parameters with imported external data upon instruction from a user.

[0712] The system of the present invention provides comprehensive support for artists to efficiently and effectively advance their creative activities. This system allows users to freely set parameters for the shape, color, pattern, and dot size of their artwork. Furthermore, it is possible to import data from an external drawing system and reflect that data in the artwork. Below, we will explain the main processing steps of the system, including specific operations.

[0713] First, the server starts the application server software. Specifically, server software such as Apache or Nginx is typically used. Next, the server creates an instance of the system and places it in memory. This makes it ready to accept requests when a user accesses it. The server connects to a backend database (for example, MySQL or MongoDB) and loads and configures the initial data.

[0714] The device displays a parameter input screen to the user. Frameworks such as React, Angular, and Vue.js are often used for the front end. Here, the user inputs parameters such as shape, color, pattern, and dot size. For example, they can specify "circle," "red," "stripes," and "5 pixels." The server saves the parameters received from the user in a dictionary-type data structure and stores them as the basic components of the work. At the same time, they are also saved in a database.

[0715] Next, the user selects a data file to import from an external drawing system, such as Adobe Illustrator or Photoshop. The selected data file is uploaded from the device to the server. The server analyzes this data and saves new parameters (e.g., "blue color" and "dot size 10 pixels") in dedicated variables.

[0716] The user issues a command to import external data. The server receives this command and applies the external data to the existing parameters. Specifically, the server overwrites the existing parameters with the parameters from the external data, and the final composition of the work is determined. Finally, the server generates a preview image and data for the work based on the final parameters. The device displays the generated preview to the user. Here, real-time drawing can be performed using the Canvas API or WebGL. The user can check the final result displayed and make further adjustments if necessary. The final work data is saved.

[0717] As a specific example, consider a scenario in which a user creates a piece of pottery. First, the device displays a parameter input screen, and the user inputs the shape as "circle," the color as "red," the pattern as "stripes," and the dot size as "5 pixels." The user then imports data created in an external drawing system (e.g., Adobe Illustrator) for "blue" and a dot size of 10 pixels, and applies it to the piece. The server generates a preview of the piece after the settings are applied, and the device displays it. The user can then check the displayed piece and make adjustments.

[0718] An example of a prompt is:

[0719] 1. "Create a circular ceramic piece with red, striped patterns, and dots 5 pixels in size."

[0720] 2. "Import blue color data with a dot size of 10 pixels from an external drawing system and apply it to the current work."

[0721] This prompt allows the generative AI model to provide appropriate artistic production assistance based on the set parameters and external data.

[0722] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0723] Step 1: Starting the program (server)

[0724] The server starts the application server software (for example, Apache or Nginx). The server creates an instance of the system and prepares it for initial configuration. Specifically, the server places the system instance in memory and connects to a backend database (for example, MySQL or MongoDB), loading and configuring the initial data. The inputs are the system configuration files and database connection information, and the output is a working system.

[0725] Step 2: Display the parameter input screen (terminal)

[0726] The terminal displays a parameter input screen to the user. Frameworks such as React, Angular, and Vue.js are used for the front end. The screen displays input fields for things like shape, color, pattern, and point size. For input, the user must access a specific URL or application, and the parameter input screen is displayed as output.

[0727] Step 3: Entering parameters (user)

[0728] The user inputs parameters such as shape, color, pattern, and dot size. For example, they can specify "circle," "red," "stripes," and "5 pixels." For input, the user enters this information into the input fields and clicks the submit button. For output, the input parameters are collected by the front end.

[0729] Step 4: Saving input data (server)

[0730] The server stores the parameters received from the user in a dictionary-type data structure and also stores them in a database. As input, parameter data sent by the user is provided, and as output, this is stored in a dictionary-type data structure and a database within the system.

[0731] Step 5: Select External Data (User)

[0732] The user selects a data file to import from an external drawing system (e.g., Adobe Illustrator or Photoshop). As input, the user selects a file from their local file system or cloud storage. As output, the selected file path or file data is displayed on the terminal.

[0733] Step 6: Upload data files (terminal)

[0734] The device uploads the selected data file to the server, typically using an HTTP POST request. As input, the user-selected file data is provided, and as output, the file is uploaded to the server.

[0735] Step 7: Storing external data (server)

[0736] The server analyzes the uploaded file and saves the new parameters (e.g. "blue color" and "dot size 10 pixels") in dedicated variables. As input, the uploaded file data is provided, and as output, the new parameters are saved in dedicated variables.

[0737] Step 8: Issue application command (user)

[0738] The user issues a command to import external data using a button on the GUI, etc. The input is the user clicking the apply button, and the output is the command sent to the server.

[0739] Step 9: Accepting the command (server)

[0740] The server receives a command from the user and starts the process of applying external data to existing parameters. The application command from the user is provided as input, and a processing completion status is generated as output.

[0741] Step 10: Overriding Parameters (Server)

[0742] The server overwrites the existing parameters with external data parameters. As input, the existing parameters and new data parameters are provided, and as output, the final parameters are determined.

[0743] Step 11: Generate the final state (server)

[0744] The server generates preview images and data of the work based on the final parameters. The final parameters are provided as input, and preview images and data are generated as output.

[0745] Step 12: View Preview (Device)

[0746] The device displays the generated preview to the user. Here, real-time drawing can be performed using the Canvas API or WebGL. As input, preview images or data provided by the server are required, and as output, the preview is displayed to the user.

[0747] Step 13: Adjust and save (user)

[0748] The user checks the displayed final result, makes further adjustments if necessary, and then saves the final work data. The final adjustment parameters are provided as input, and the saved work data is generated as output.

[0749] (Application example 1)

[0750] 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."

[0751] In virtual stores, there is a lack of methods for users to efficiently create digital artworks, adjust and check them in real time using external data, and exhibit and sell them. There is also a need for a system that can instantly update and check the status of artworks using multiple devices (smartphones and head-mounted displays). Conventional systems require users to manually import external data and overwrite parameters, which is inefficient for users.

[0752] 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.

[0753] In this invention, the server includes a means for allowing a user to set parameters for the shape, color, pattern, and dot size of the artwork, a means for importing data from an external system, a means for applying the imported data to the parameters set by the user, a means for displaying the final state of the artwork, and a means for adjusting the imported data in real time and exhibiting and selling the artwork in a virtual store using a smartphone or head-mounted display. This allows users to efficiently create digital artworks, import and adjust external data in real time, and instantly exhibit and sell the artworks in a virtual store using multiple devices.

[0754] "User" means any individual or entity that uses the System to create, modify, and exhibit digital artworks.

[0755] "Work" refers to a digital art or design created by a user by setting parameters.

[0756] "Shape" refers to the appearance or outline of the work, and indicates the form, such as circle, square, or triangle.

[0757] "Color" is a general term for the shades and color schemes in a work, and refers to specific colors such as red, blue, and green.

[0758] "Pattern" refers to the patterns or designs that appear on the surface of the work, and can include stripes, waves, dots, etc.

[0759] "Dot size" is a parameter that indicates the size of the dots contained in the work, and is expressed in pixels.

[0760] "External systems" refer to digital drawing tools or databases that exist outside the system and that users use to import data.

[0761] "Data" is a general term for information imported from external systems, including setting values ​​such as color, shape, and pattern.

[0762] "Parameters" refers to the individual settings for determining the shape, color, pattern, and dot size of the work.

[0763] "Real-time adjustments" means that changes are reflected in the system immediately and users can see the results immediately.

[0764] A "smartphone" is a small portable information terminal with internet connectivity, and is a device used to set up and display works.

[0765] A "head-mounted display" is a display device worn on the head, and is used to display the state of the work in 3D or AR format.

[0766] A "virtual store" is a virtual sales location that exists on the Internet and is a platform where users can exhibit and sell digital artworks.

[0767] The system for realizing this invention is composed of a server, a smartphone, and a head-mounted display (HMD), and is used to create, adjust, display, and exhibit digital artworks. The system of the present invention includes the following main components:

[0768] server

[0769] The server provides an interface that allows users to set parameters for the shape, color, pattern, and dot size of their digital artwork. It also has an API and data import function for importing data from external systems, making it possible to import data from external drawing tools and databases. The imported data is applied in real time to the parameters set by the user, allowing for smooth adjustments to the artwork.

[0770] Smartphones and Head-Mounted Displays (HMDs)

[0771] Smartphones and HMDs are devices that use an interface provided by the server to set up and adjust artworks. These devices display the final state of the artwork in real time. They also provide a UI (user interface) that allows users to check the state of the artwork and make immediate adjustments. Through these devices, users can check digital artworks in real time and exhibit and sell them in a virtual store.

[0772] Data capture and application

[0773] When a user imports data from an external system, that data is saved in a dedicated variable on the server. For example, if a user sets the parameters "circle," "red," "stripes," and "5 pixels," that information is saved in a dictionary-type data structure on the server. If data such as "blue" and "dot size 10 pixels" are imported from an external system, this data is also saved in a dedicated variable, allowing existing parameters to be overwritten in subsequent processing. This automatically updates the composition of the work and displays it in its final state on the device.

[0774] Specific examples

[0775] For example, when a user creates a piece of pottery, the initial settings are "circle" shape, "red" color, "stripes" pattern, and "5 pixel dot size." Data such as "blue" and "10 pixel dot size" are then imported from an external system and applied to the piece. As a result, the piece will have a circle shape, blue color, stripes pattern, and 10 pixel dot size. The results are displayed on the user's device, allowing the user to check the final piece and exhibit and sell it in a virtual store.

[0776] Prompt Sentence Examples

[0777] "The initial settings for the artwork shape are circle, color red, pattern stripes, and dot size 5 pixels. Next, import external data with blue color and dot size 10 pixels and apply it."

[0778] This specification shows the detailed configuration of the system and its implementation, but the server's API, data import function, and UI design for smartphones and HMDs can be flexibly designed for actual implementation. This allows users to efficiently create digital artworks and exhibit and sell them in a virtual store.

[0779] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0780] Step 1:

[0781] The server starts the program and creates an instance of the system.

[0782] Specifically, the server performs initialization processing for the entire system and creates an environment for managing the parameter settings of the work and the import of external data.

[0783] Input: None

[0784] Output: System initialization complete, instantiation

[0785] Step 2:

[0786] The user sets the shape, color, pattern, and size of the dots of the work as parameters using a smartphone or head-mounted display.

[0787] As a specific operation, the user inputs specific parameters (e.g., "circle," "red," "stripes," "5 pixels") through the interface.

[0788] Input: Specific parameters of shape, color, pattern, and dot size

[0789] Output: The configured parameters are sent to the server and stored in a dictionary data structure.

[0790] Step 3:

[0791] A user imports data from an external system.

[0792] Specifically, the user accesses an external system, obtains the necessary data (e.g., "blue color" and "dot size 10 pixels"), and imports it into the system.

[0793] Input: Data from an external system

[0794] Output: The captured data is saved in a dedicated variable on the server.

[0795] Step 4:

[0796] The server applies the retrieved data to the existing parameters.

[0797] Specifically, the server receives the user's command and overwrites the existing parameters with the imported data.

[0798] Input: Imported data, existing parameters

[0799] Output: Overridden parameters

[0800] Step 5:

[0801] The device (smartphone or HMD) displays the final state of the work.

[0802] Specifically, the server sends the overwritten parameters to the terminal, and the terminal displays the latest work status based on the overwritten parameters.

[0803] Input: Overridden parameters

[0804] Output: The final product displayed on the device

[0805] Step 6:

[0806] The user reviews the final product and makes further adjustments if necessary.

[0807] Specifically, the user may check the displayed work and set parameters or import data again.

[0808] Input: Final work state displayed

[0809] Output: Any further adjustments or final decisions required by the user

[0810] This process allows users to efficiently create digital artworks, adjust and display them in real time, and ultimately display and sell them in a virtual store.

[0811] 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.

[0812] The system of the present invention provides comprehensive support for artists to efficiently and effectively advance their creative activities. The system allows users to freely set parameters for the shape, color, pattern, and dot size of their artwork. It also allows users to import data from external drawing systems and apply that data to existing parameters to reflect the artwork. Furthermore, the system incorporates an emotion engine that recognizes the user's emotions, automatically adjusting parameters based on the user's emotions, allowing for more advanced customization of the creative process.

[0813] Program processing

[0814] 1. Starting the program (server)

[0815] The server starts the program and generates an instance of the system. This instantiation initializes the emotion engine and prepares a mechanism for managing the parameter settings of the work and the import of external data.

[0816] 2. Parameter settings (user)

[0817] The user sets the specific shape, color, pattern, and dot size of the work. This information is stored in a dictionary-type data structure managed within the system. For example, if a user sets the parameters as "circle," "red," "stripes," and "5 pixels," this information is stored in the system as the basic components of the work.

[0818] 3. Importing external data (user)

[0819] The user imports data from an external drawing system. The external data includes information such as "blue color" and "point size 10 pixels." This data is stored in dedicated variables within the system and used for further processing.

[0820] 4. Applying external data (user)

[0821] After the user imports external data, they pass a command to the system to reflect the parameters. The server receives this command and overwrites the existing parameters with the contents of the external data. This process determines the final composition of the work.

[0822] 5. Emotion Engine Functions (Server)

[0823] The emotion engine recognizes the user's emotions and automatically adjusts parameters based on them. To do this, the emotion engine analyzes data such as the user's facial expressions and voice in real time and reflects the results in the parameters of the work.

[0824] 6. Displaying the final result (terminal)

[0825] The terminal displays the final state of the work. The server draws the latest state of the work in real time, allowing users to check the current state of the work at any time. For example, the current work is displayed as "Shape: Circle," "Color: Blue," "Pattern: Stripes," and "Dot Size: 10 pixels."

[0826] Specific examples

[0827] Consider a scenario in which a user creates a piece of pottery. When first setting the parameters, the user specifies the shape as "circle," the color as "red," the pattern as "stripes," and the dot size as "5 pixels." Data such as "blue" and "dot size as 10 pixels" are then imported from an external system and applied to the piece. Furthermore, the emotion engine recognizes the user's emotions and makes adjustments, such as making the colors more vivid if the user is excited. Finally, the piece is displayed as "shape: circle," "color: blue," "pattern: stripes," and "dot size: 10 pixels." The user can view the results on their device and make further adjustments as needed.

[0828] This system allows users to freely adjust their emotions and creative elements, and effectively utilize external data to efficiently create highly accurate works of art.

[0829] The processing flow will be explained below.

[0830] Step 1:

[0831] The server starts the program. The server creates an instance of the "ArtSimulationSystem" class and initializes the emotion engine. At this time, the dictionary variable self.artwork, which stores the artwork parameters, and the variable self.external_data, which stores external data, are initialized.

[0832] Step 2:

[0833] The user sets the parameters. The user specifies the shape, color, pattern, and dot size of the artwork through the terminal. The server receives these parameters using the set_parameters method and saves them in the self.artwork dictionary. For example, they might be saved as "Shape: Circle", "Color: Red", "Pattern: Stripes", and "Dot Size: 5 pixels".

[0834] Step 3:

[0835] The user imports data from an external system. The user uses the device to import data obtained from an external system. The server receives this data using the import_external_data method and saves it in self.external_data. For example, information such as "Color: Blue" and "Point size: 10 pixels" is saved.

[0836] Step 4:

[0837] The user applies external data to the artwork. The user calls the apply_external_data method from the device, and the server integrates the contents of self.external_data into self.artwork. This process overwrites the existing parameters with the external data, and the final parameters of the artwork are updated as follows:

[0838] python

[0839] self.artwork = {

[0840] 'shape': 'circle',

[0841] 'color': 'blue',

[0842] 'pattern': 'striped',

[0843] 'dot_size': 10

[0844] }

[0845] Step 5:

[0846] The server uses an emotion engine to recognize the user's emotions. The server analyzes data collected from devices such as cameras and microphones to determine the user's emotional state. For example, if the user is excited, the emotion engine will detect this.

[0847] Step 6:

[0848] The server automatically adjusts the parameters based on the results of the emotion engine. If the emotion engine recognizes the user's excitement, it will make the colors more vivid. The server will reflect this and readjust the parameters of the artwork.

[0849] Step 7:

[0850] The terminal displays the final result. The server returns the adjusted parameters of the artwork to the terminal, and presents the final state of the artwork to the user. For example, it is displayed as "Shape: Circle," "Color: Bright Blue," "Pattern: Stripes," and "Dot Size: 10 pixels." The user can check the final state of the artwork and make further adjustments if necessary.

[0851] Through these steps, the system allows users to freely set parameters and provides an advanced creative process that combines external data and emotion recognition.

[0852] Example 2

[0853] 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."

[0854] When creating artwork, it is time-consuming and inefficient for users to individually set the shape, color, pattern, and size of the dots, and also to import and utilize data from external systems. It is also often difficult to reflect the user's emotions in the creation of the artwork. A system that can solve these problems is needed.

[0855] 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.

[0856] In this invention, the server includes means for the user to set parameters for the shape, color, pattern, and dot size of the artwork, means for importing data from an external system, means for applying the imported data to the parameters set by the user, means for recognizing the user's emotions in real time and automatically adjusting the parameters, and means for displaying the final state of the artwork, thereby enabling users to efficiently and effectively create high-quality works of art.

[0857] "A means for users to set the shape, color, pattern, and dot size of the work as parameters" refers to a mechanism in which users input the basic attributes of the work through an interface and manage them within the system.

[0858] "Means for importing data from external systems" refers to a mechanism for importing necessary data from external drawing software or databases and making it available within the system.

[0859] "Means for applying imported data to parameters set by the user" refers to a mechanism for reflecting imported external data in parameters set by the user and using it as a component of the final work.

[0860] "Means for recognizing the user's emotions in real time and automatically adjusting parameters" refers to a system that uses sensors such as cameras and microphones to analyze the user's emotions and automatically adjusts the set parameters appropriately based on the analysis results.

[0861] The "means for displaying the final status of the work" is a system that displays the latest status of the work sent from the server on the terminal in real time, allowing the user to check the status.

[0862] "Storage means" refers to a data storage system that provides the functionality to save parameters set by the user and data imported from external systems, and to update them as necessary.

[0863] The present invention is a comprehensive system that allows users to create artworks efficiently and effectively. This system is composed of three entities: a server, a terminal, and a user, and includes the following means:

[0864] Program Description

[0865] 1. Starting the program (server)

[0866] The server starts the program, creating an instance of the system. Initial settings are made for the emotion engine and parameter setting management. The server loads dependent libraries and references specific configuration files to perform the initial settings. It also sets up the necessary database connections and APIs.

[0867] 2. Parameter settings (user)

[0868] The user inputs parameters such as the shape, color, pattern, and dot size of the work through the interface. This information is stored in a dictionary-type data structure. For example, if the user sets "circle," "red," "stripes," and "5 pixels," these parameters are stored in memory as key-value pairs.

[0869] 3. Importing external data (user)

[0870] The user imports data from an external drawing system, such as "blue color" and "point size 10 pixels." The imported data is stored in dedicated variables.

[0871] 4. Applying external data (user)

[0872] The user passes a command to the system to reflect the imported external data in the parameters. The server receives this command and overwrites the existing parameters with the contents of the external data, thereby determining the final composition of the work.

[0873] 5. Emotion Engine Functions (Server)

[0874] The emotion engine recognizes the user's emotions in real time and automatically adjusts parameters. This function captures facial and voice data through the camera and microphone, identifies emotions based on an analysis algorithm, and reflects the results in the parameters of the work.

[0875] 6. Displaying the final result (terminal)

[0876] The terminal displays the final state of the work, and the server generates visual data for the work based on the updated parameters and sends it to the terminal in real time. The user can check the current state of the work and make further adjustments if necessary.

[0877] Specific examples

[0878] For example, consider a user creating a piece of pottery. When initially setting the parameters, the user specifies the shape as "circle," the color as "red," the pattern as "stripes," and the dot size as "5 pixels." Data such as "blue" and "dot size as 10 pixels" are then imported from an external system and applied to the piece. Furthermore, the emotion engine recognizes the user's emotions and makes adjustments, such as making the colors more vivid if the user is excited. Finally, the piece is displayed as "shape: circle," "color: blue," "pattern: stripes," and "dot size: 10 pixels." The user can view the results on their device and make further adjustments as needed.

[0879] Prompt Sentence Examples

[0880] Example prompts to be fed to the generative AI model:

[0881] "To create a piece of pottery, the user set the shape as 'circle,' the color as 'red,' the pattern as 'stripes,' and the dot size as '5 pixels.' Data such as 'blue,' and 'dot size as 10 pixels' were imported from an external system and applied, and the emotion engine recognized the user's emotion and adjusted the parameters accordingly. Please explain this process."

[0882] This system allows users to fine-tune their emotions and creative elements, and effectively utilize external data to efficiently create highly accurate works of art.

[0883] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0884] Step 1:

[0885] The server starts the program. During this process, it loads the necessary dependent libraries and references specific configuration files to perform initial configuration. The server loads the database connection information and establishes the connection. The input to this process is the program startup command and configuration file, and the output is the system instance and a log that it is ready. Specifically, the program is executed from the server's command line and various services are initialized.

[0886] Step 2:

[0887] A user logs in to the system and accesses the dashboard. In the login process, the user enters their authentication information, the server performs authentication, and a successful authentication response is returned to the terminal. The input for this process is the user's authentication information, and the output is an authentication token and a successful login screen. Specifically, the user enters their user ID and password into the input form and clicks the "Login" button.

[0888] Step 3:

[0889] The user sets the parameters of the work's shape, color, pattern, and dot size. This parameter information is saved in a dictionary-type data structure. The input to this process is the set parameters, and the output is the saved parameter dictionary. Specifically, the user enters each parameter into the input field on the interface and clicks the "Set" button.

[0890] Step 4:

[0891] The user imports data from an external system. The imported data is saved in a dedicated variable. The input to this process is the data from the external system, and the output is the saved imported data. Specifically, the user selects the required data using the "Data Import" function of the external drawing system and clicks the "Import" button.

[0892] Step 5:

[0893] The user sends a command to the server to reflect the external data they have imported into the system. The server receives this command and overwrites the contents of the external data with the existing parameters. The input to this process is the reflection command and the external data, and the output is the updated parameters. Specifically, the user clicks the "Reflect Data" button and waits for a response from the server.

[0894] Step 6:

[0895] The emotion engine analyzes the user's emotions in real time and automatically adjusts parameters based on the obtained emotional data. The input for this process is the user's facial expressions and voice data, and the output is the adjusted parameters. Specifically, data is acquired using the device's camera and microphone and then input into the analysis algorithm.

[0896] Step 7:

[0897] The terminal displays the final state of the work. The server generates visual data for the work based on the updated parameters and sends it to the terminal. The input to this process is the updated parameters, and the output is the displayed state of the work. Specifically, the latest image of the work is displayed on the terminal display, and the user confirms it.

[0898] (Application example 2)

[0899] 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."

[0900] While modern industrial product manufacturing requires diverse designs and customization, there is a lack of intuitive ways for workers to set and adjust product designs. Furthermore, there is no technology that dynamically adjusts designs based on the worker's emotions. This hinders an efficient and creative design process, resulting in a decline in product quality and work efficiency.

[0901] 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.

[0902] In this invention, the server includes means for a user to set parameters for the shape, color, pattern, and dot size of the work, means for importing data from an external system, means for applying the imported data to the parameters set by the user, means for displaying the final state of the work, and means for recognizing the user's emotions using an emotion engine and automatically adjusting the setting parameters based on the emotions. This not only allows workers to intuitively set and adjust the design of industrial products, but also enables dynamic design adjustments according to the worker's emotions.

[0903] "Users" are individuals or corporations who operate the system and set the design parameters of the work.

[0904] "Shape of Work" means the outline or form of the work's appearance that can be configured or changed.

[0905] "Color" refers to the types and combinations of colors applied to a work.

[0906] A "pattern" is a visual pattern or design placed on the surface of a work.

[0907] "Dot size" refers to the size of the dots contained in a pattern or design.

[0908] A "means" is a device, apparatus, method, or process for achieving a particular purpose.

[0909] An "external system" is other software or hardware that exists outside the system and provides or receives data.

[0910] "External Data" is information imported from an external system and applied to parameters set by the user.

[0911] "Ingest" is the process of receiving data from an external system and making it available within the system.

[0912] "Reflect" means to apply the acquired data, apply it to the set parameters and display the results.

[0913] "Display" means to visually present to the user the state of the final work generated based on the settings and imported data.

[0914] The "emotion engine" is a component that has the ability to analyze the user's emotions and dynamically adjust parameters accordingly.

[0915] "Recognizing" is the process of acquiring and understanding the user's emotions and state using sensors and algorithms.

[0916] "Automatically adjust" means changing parameters based on predefined logic or algorithms without the need for manual intervention.

[0917] The system of the present invention provides comprehensive support for efficient and intuitive design and customization of industrial products. The system includes a user interface that allows an operator to set the shape, color, pattern, and dot size of the product. Specific embodiments for carrying out the present invention will be described below.

[0918] System Programming and Processing

[0919] 1. Server Functions

[0920] The server was developed in Python and runs as a web server using Flask. When the server starts, a system instance is created and the emotion engine (TensorFlow model) and design management system are initialized. The server also manages data import from external systems and applies it to parameters set by the user.

[0921] 2. User Operation

[0922] Using an interface accessible via a web browser, users can set the product's shape (e.g., square, circle), color (e.g., red, blue), pattern (e.g., dotted line, stripes), and dot size (e.g., 3 pixels, 10 pixels). Once the user enters these parameters, the information is sent to the server and stored in JSON format.

[0923] 3. Importing data from external systems

[0924] The server imports data from the external system selected by the user, analyzes it, and reflects it in the existing parameters. For example, if data such as "Color: Blue" and "Dot size: 6 pixels" is imported from the external system, it will overwrite the corresponding parameters on the server.

[0925] 4. Use of Emotion Engine

[0926] The server is equipped with an emotion engine that uses a camera using OpenCV and a highly sensitive microphone to analyze the user's emotions in real time. For example, if the user is excited, the emotion engine adjusts the colors to be more vivid.

[0927] 5. Displaying the final design

[0928] Based on the parameters set by the user and external data, the final design is displayed in real time in the web browser. To achieve this, the server generates the latest design state and displays it using JavaScript and HTML / CSS.

[0929] Specific examples

[0930] Let's take the example of a user designing an industrial product. The user first sets the shape to "rectangle," the color to "green," the pattern to "dotted line," and the dot size to "3 pixels." The user then imports "color: blue" and "dot size: 6 pixels" from an external design system, and the server reflects these in the existing parameters. Furthermore, the emotion engine analyzes the user's emotions and automatically adjusts the color to "brighter blue" if the user is excited, for example. The final generated design is displayed in a web browser as "shape: rectangle," "color: bright blue," "pattern: dotted line," and "dot size: 6 pixels." The user can review this design and make further adjustments as needed.

[0931] Example prompts for generative AI models

[0932] The user sets the parameters for designing an industrial product: the shape is square, the color is green, the pattern is dotted, and the dot size is 3 pixels. Next, parameters are imported from an external design system, overriding the color to blue and the dot size to 6 pixels. Finally, the emotion engine detects the user's excitement and automatically adjusts the color to a brighter blue. This process is implemented in code.

[0933] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0934] Step 1:

[0935] The server is started and a system instance is generated. The server is developed in Python and operates as a web server using Flask. In this step, the emotion engine (TensorFlow model) and design management system are initialized. This allows the server to accept requests from users and prepare for the next process. The input is the system startup instructions, and the output is the initialized system instance.

[0936] Step 2:

[0937] The user accesses the interface via a web browser and sets the product's shape, color, pattern, and dot size. The data entered by the user (e.g., "Shape: Square," "Color: Green," "Pattern: Dotted line," "Dot size: 3 pixels") is sent to the server in JSON format. In this step, the input is the parameters set by the user, and the output is the parameter information saved on the server.

[0938] Step 3:

[0939] The server imports data from an external system. It imports, analyzes, and saves data selected by the user from the external system. Examples of imported data include "Color: Blue" and "Dot Size: 6 pixels." This data overwrites the corresponding parameters on the server. In this step, the input is data from the external system, and the output is the updated parameter information.

[0940] Step 4:

[0941] The emotion engine on the server analyzes the user's emotions. It uses OpenCV and a high-sensitivity microphone to analyze the user's facial expressions and voice in real time using a camera and microphone. The emotion engine uses a TensorFlow model to recognize emotions and adjust parameters based on specific conditions, such as when the user is excited. In this step, the input is the user's facial expressions and voice, which are continuously acquired, and the output is the adjusted parameter information.

[0942] Step 5:

[0943] The server generates the final design of the industrial product based on the parameters set by the user and the parameters adjusted by the emotion engine. To display this on a web browser in real time, it uses JavaScript and HTML / CSS to perform the rendering process. The latest design state is displayed visually so that the user can check it. In this step, the input is the adjusted parameter information, and the output is a real-time display of the generated design.

[0944] Step 6:

[0945] The user checks the final design and makes further adjustments if necessary. New parameters are set again through the interface and sent to the server, which adjusts and generates the design again. In this step, the input is the new adjustment parameters made by the user, and the output is a display of the re-adjusted design.

[0946] 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.

[0947] 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.

[0948] 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.

[0949] [Fourth embodiment]

[0950] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0951] 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.

[0952] 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).

[0953] 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.

[0954] 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.

[0955] 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).

[0956] 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.

[0957] 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.

[0958] 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.

[0959] 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.

[0960] 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.

[0961] 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.

[0962] 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."

[0963] The system of the present invention provides comprehensive support for artists to efficiently and effectively advance their creative activities. This system allows users to freely set parameters for the shape, color, pattern, and dot size of their artwork. Furthermore, it is possible to import data from an external drawing system and incorporate that data into the artwork. Below, the main processing steps of the system are explained in natural language and presented in detail with concrete examples.

[0964] 1. Starting the program (server)

[0965] The server starts the program and generates an instance of the system, which prepares a mechanism for managing the parameter settings of the work and the import of external data.

[0966] 2. Parameter settings (user)

[0967] The user specifies the shape, color, pattern, and dot size of the work. This information is stored in a dictionary-style data structure managed within the system. For example, if the user specifies parameters such as "circle," "red," "stripes," and "5 pixels," this information is stored in the system as the basic components of the work.

[0968] 3. Importing external data (user)

[0969] The user imports data from an external drawing system. The external data includes information such as "blue color" and "point size 10 pixels." This data is stored in dedicated variables within the system and used for further processing.

[0970] 4. Applying external data (user)

[0971] After the user imports external data, they pass commands to the system to reflect the parameters. The server receives these commands and overwrites the existing parameters with the contents of the external data. This process determines the final composition of the work.

[0972] 5. Displaying the final result (terminal)

[0973] The device displays the final state of the work, allowing the user to check the current state of the work and make further adjustments if necessary.

[0974] Specific examples

[0975] Consider a scenario in which a user creates a piece of pottery. First, the user sets the shape of the piece to "circle," the color to "red," the pattern to "stripes," and the dot size to "5 pixels." Then, the user imports data such as "blue" and "dot size to 10 pixels" from an external system and applies it to the piece. Finally, the piece will have a shape of circle, a color of blue, a pattern to stripes, and dot size to 10 pixels. The results are displayed on the device, allowing the user to directly check the final shape of the piece.

[0976] This system allows users to freely adjust creative elements and effectively utilize external data to efficiently create highly accurate works of art.

[0977] The processing flow will be explained below.

[0978] Step 1:

[0979] The server launches the program. The server creates an instance of the "ArtSimulationSystem" class and performs initialization. At this time, the dictionary variable self.artwork, which stores the artwork's parameters, and the variable self.external_data, which stores external data, are initialized.

[0980] Step 2:

[0981] The user sets the parameters. The user specifies the shape, color, pattern, and dot size of the work and passes this information to the set_parameters method. The server receives this and saves it in the self.artwork dictionary. For example, if the user sets "Shape: Circle", "Color: Red", "Pattern: Stripes", and "Dot Size: 5 pixels", it will be saved as follows:

[0982] python

[0983] self.artwork = {

[0984] 'shape': 'circle',

[0985] 'color': 'red',

[0986] 'pattern': 'striped',

[0987] 'dot_size': 5

[0988] }

[0989] Step 3:

[0990] The user imports data from an external system. The user passes the data obtained from the external system to the import_external_data method. The server receives this and saves the external data in self.external_data. For example, if the external data is "Color: Blue" and "Point Size: 10 pixels", it will be saved as follows:

[0991] python

[0992] self.external_data = {

[0993] 'color': 'blue',

[0994] 'dot_size': 10

[0995] }

[0996] Step 4:

[0997] The user applies external data. The user calls the apply_external_data method, and the server merges the contents of self.external_data into self.artwork. In this process, the existing parameters are overwritten by the contents of the external data. This results in the parameters of the final artwork being as follows:

[0998] python

[0999] self.artwork = {

[1000] 'shape': 'circle',

[1001] 'color': 'blue',

[1002] 'pattern': 'striped',

[1003] 'dot_size': 10

[1004] }

[1005] Step 5:

[1006] The device displays the final result. The server calls the display_artwork method and returns the latest self.artwork content to the device. The user can use this information to check the final state of the artwork. For example, the current artwork is displayed as "Shape: Circle," "Color: Blue," "Pattern: Stripes," and "Dot Size: 10 pixels."

[1007] In this way, this system effectively combines parameters freely set by the user with external data to provide advanced support that allows users to check the status of the artwork in real time.

[1008] Example 1

[1009] 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."

[1010] In conventional art production systems, it was difficult to integrate user-set parameters with data from external systems, making it difficult to create works efficiently. Furthermore, there was a lack of a way to overwrite existing settings when importing data from external systems, requiring flexible responses to meet user needs. Furthermore, managing imported data and set parameters was cumbersome, preventing users from creating an environment that allowed them to concentrate on their creative activities.

[1011] 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.

[1012] In this invention, the server includes means for the user to set parameters for the shape, color, pattern, and dot size of the artwork; means for importing data from an external system; means for applying the imported data to the parameters set by the user; means for displaying the final state of the artwork; means for saving the parameters set by the user in a dictionary-type data structure; means for saving the data imported from the external system in dedicated variables; and means for overwriting existing parameters with external data based on a user's command. This makes it easy for users to integrate the set parameters with external data, enabling them to create artworks efficiently. Furthermore, data management is simplified, providing an environment in which users can concentrate on their creative activities.

[1013] "User" means an individual or entity that uses the System to set and manipulate the shape, color, pattern, and dot size of a work.

[1014] "Parameters" are the basic components set by the user, such as the shape, color, pattern, and size of the dots of the work.

[1015] "External system" refers to other rendering software or data sources that exist outside the system.

[1016] "Data Import Means" means the method or process by which data related to a work is imported into the system from an external system.

[1017] "Means of applying parameters" refers to the method or process by which imported external data is superimposed on or overwritten by existing parameters set by the user.

[1018] A "display means" is a means for visually presenting the final state of the work to a user, typically a computer display or a mobile device screen.

[1019] The "means for storing in a dictionary-type data structure" is a data structure for efficiently managing and storing set parameters in the form of keys and values.

[1020] The "means of saving to a dedicated variable" is a specific memory area or database field for temporarily or permanently storing imported external data.

[1021] "Means for overwriting existing parameters with external data on command" refers to a method or process for updating existing configured parameters with imported external data upon instruction from a user.

[1022] The system of the present invention provides comprehensive support for artists to efficiently and effectively advance their creative activities. This system allows users to freely set parameters for the shape, color, pattern, and dot size of their artwork. Furthermore, it is possible to import data from an external drawing system and reflect that data in the artwork. Below, we will explain the main processing steps of the system, including specific operations.

[1023] First, the server starts the application server software. Specifically, server software such as Apache or Nginx is typically used. Next, the server creates an instance of the system and places it in memory. This makes it ready to accept requests when a user accesses it. The server connects to a backend database (for example, MySQL or MongoDB) and loads and configures the initial data.

[1024] The device displays a parameter input screen to the user. Frameworks such as React, Angular, and Vue.js are often used for the front end. Here, the user inputs parameters such as shape, color, pattern, and dot size. For example, they can specify "circle," "red," "stripes," and "5 pixels." The server saves the parameters received from the user in a dictionary-type data structure and stores them as the basic components of the work. At the same time, they are also saved in a database.

[1025] Next, the user selects a data file to import from an external drawing system, such as Adobe Illustrator or Photoshop. The selected data file is uploaded from the device to the server. The server analyzes this data and saves new parameters (e.g., "blue color" and "dot size 10 pixels") in dedicated variables.

[1026] The user issues a command to import external data. The server receives this command and applies the external data to the existing parameters. Specifically, the server overwrites the existing parameters with the parameters from the external data, and the final composition of the work is determined. Finally, the server generates a preview image and data for the work based on the final parameters. The device displays the generated preview to the user. Here, real-time drawing can be performed using the Canvas API or WebGL. The user can check the final result displayed and make further adjustments if necessary. The final work data is saved.

[1027] As a specific example, consider a scenario in which a user creates a piece of pottery. First, the device displays a parameter input screen, and the user inputs the shape as "circle," the color as "red," the pattern as "stripes," and the dot size as "5 pixels." The user then imports data created in an external drawing system (e.g., Adobe Illustrator) for "blue" and a dot size of 10 pixels, and applies it to the piece. The server generates a preview of the piece after the settings are applied, and the device displays it. The user can then check the displayed piece and make adjustments.

[1028] An example of a prompt is:

[1029] 1. "Create a circular ceramic piece with red, striped patterns, and dots 5 pixels in size."

[1030] 2. "Import blue color data with a dot size of 10 pixels from an external drawing system and apply it to the current work."

[1031] This prompt allows the generative AI model to provide appropriate artistic production assistance based on the set parameters and external data.

[1032] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1033] Step 1: Starting the program (server)

[1034] The server starts the application server software (for example, Apache or Nginx). The server creates an instance of the system and prepares it for initial configuration. Specifically, the server places the system instance in memory and connects to a backend database (for example, MySQL or MongoDB), loading and configuring the initial data. The inputs are the system configuration files and database connection information, and the output is a working system.

[1035] Step 2: Display the parameter input screen (terminal)

[1036] The terminal displays a parameter input screen to the user. Frameworks such as React, Angular, and Vue.js are used for the front end. The screen displays input fields for things like shape, color, pattern, and point size. For input, the user must access a specific URL or application, and the parameter input screen is displayed as output.

[1037] Step 3: Entering parameters (user)

[1038] The user inputs parameters such as shape, color, pattern, and dot size. For example, they can specify "circle," "red," "stripes," and "5 pixels." For input, the user enters this information into the input fields and clicks the submit button. For output, the input parameters are collected by the front end.

[1039] Step 4: Saving input data (server)

[1040] The server stores the parameters received from the user in a dictionary-type data structure and also stores them in a database. As input, parameter data sent by the user is provided, and as output, this is stored in a dictionary-type data structure and a database within the system.

[1041] Step 5: Select External Data (User)

[1042] The user selects a data file to import from an external drawing system (e.g., Adobe Illustrator or Photoshop). As input, the user selects a file from their local file system or cloud storage. As output, the selected file path or file data is displayed on the terminal.

[1043] Step 6: Upload data files (terminal)

[1044] The device uploads the selected data file to the server, typically using an HTTP POST request. As input, the user-selected file data is provided, and as output, the file is uploaded to the server.

[1045] Step 7: Storing external data (server)

[1046] The server analyzes the uploaded file and saves the new parameters (e.g. "blue color" and "dot size 10 pixels") in dedicated variables. As input, the uploaded file data is provided, and as output, the new parameters are saved in dedicated variables.

[1047] Step 8: Issue application command (user)

[1048] The user issues a command to import external data using a button on the GUI, etc. The input is the user clicking the apply button, and the output is the command sent to the server.

[1049] Step 9: Accepting the command (server)

[1050] The server receives a command from the user and starts the process of applying external data to existing parameters. The application command from the user is provided as input, and a processing completion status is generated as output.

[1051] Step 10: Overriding Parameters (Server)

[1052] The server overwrites the existing parameters with external data parameters. As input, the existing parameters and new data parameters are provided, and as output, the final parameters are determined.

[1053] Step 11: Generate the final state (server)

[1054] The server generates preview images and data of the work based on the final parameters. The final parameters are provided as input, and preview images and data are generated as output.

[1055] Step 12: View Preview (Device)

[1056] The device displays the generated preview to the user. Here, real-time drawing can be performed using the Canvas API or WebGL. As input, preview images or data provided by the server are required, and as output, the preview is displayed to the user.

[1057] Step 13: Adjust and save (user)

[1058] The user checks the displayed final result, makes further adjustments if necessary, and then saves the final work data. The final adjustment parameters are provided as input, and the saved work data is generated as output.

[1059] (Application example 1)

[1060] 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."

[1061] In virtual stores, there is a lack of methods for users to efficiently create digital artworks, adjust and check them in real time using external data, and exhibit and sell them. There is also a need for a system that can instantly update and check the status of artworks using multiple devices (smartphones and head-mounted displays). Conventional systems require users to manually import external data and overwrite parameters, which is inefficient for users.

[1062] 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.

[1063] In this invention, the server includes a means for allowing a user to set parameters for the shape, color, pattern, and dot size of the artwork, a means for importing data from an external system, a means for applying the imported data to the parameters set by the user, a means for displaying the final state of the artwork, and a means for adjusting the imported data in real time and exhibiting and selling the artwork in a virtual store using a smartphone or head-mounted display. This allows users to efficiently create digital artworks, import and adjust external data in real time, and instantly exhibit and sell the artworks in a virtual store using multiple devices.

[1064] "User" means any individual or entity that uses the System to create, modify, and exhibit digital artworks.

[1065] "Work" refers to a digital art or design created by a user by setting parameters.

[1066] "Shape" refers to the appearance or outline of the work, and indicates the form, such as circle, square, or triangle.

[1067] "Color" is a general term for the shades and color schemes in a work, and refers to specific colors such as red, blue, and green.

[1068] "Pattern" refers to the patterns or designs that appear on the surface of the work, and can include stripes, waves, dots, etc.

[1069] "Dot size" is a parameter that indicates the size of the dots contained in the work, and is expressed in pixels.

[1070] "External systems" refer to digital drawing tools or databases that exist outside the system and that users use to import data.

[1071] "Data" is a general term for information imported from external systems, including setting values ​​such as color, shape, and pattern.

[1072] "Parameters" refers to the individual settings for determining the shape, color, pattern, and dot size of the work.

[1073] "Real-time adjustments" means that changes are reflected in the system immediately and users can see the results immediately.

[1074] A "smartphone" is a small portable information terminal with internet connectivity, and is a device used to set up and display works.

[1075] A "head-mounted display" is a display device worn on the head, and is used to display the state of the work in 3D or AR format.

[1076] A "virtual store" is a virtual sales location that exists on the Internet and is a platform where users can exhibit and sell digital artworks.

[1077] The system for realizing this invention is composed of a server, a smartphone, and a head-mounted display (HMD), and is used to create, adjust, display, and exhibit digital artworks. The system of the present invention includes the following main components:

[1078] server

[1079] The server provides an interface that allows users to set parameters for the shape, color, pattern, and dot size of their digital artwork. It also has an API and data import function for importing data from external systems, making it possible to import data from external drawing tools and databases. The imported data is applied in real time to the parameters set by the user, allowing for smooth adjustments to the artwork.

[1080] Smartphones and Head-Mounted Displays (HMDs)

[1081] Smartphones and HMDs are devices that use an interface provided by the server to set up and adjust artworks. These devices display the final state of the artwork in real time. They also provide a UI (user interface) that allows users to check the state of the artwork and make immediate adjustments. Through these devices, users can check digital artworks in real time and exhibit and sell them in a virtual store.

[1082] Data capture and application

[1083] When a user imports data from an external system, that data is saved in a dedicated variable on the server. For example, if a user sets the parameters "circle," "red," "stripes," and "5 pixels," that information is saved in a dictionary-type data structure on the server. If data such as "blue" and "dot size 10 pixels" are imported from an external system, this data is also saved in a dedicated variable, allowing existing parameters to be overwritten in subsequent processing. This automatically updates the composition of the work and displays it in its final state on the device.

[1084] Specific examples

[1085] For example, when a user creates a piece of pottery, the initial settings are "circle" shape, "red" color, "stripes" pattern, and "5 pixel dot size." Data such as "blue" and "10 pixel dot size" are then imported from an external system and applied to the piece. As a result, the piece will have a circle shape, blue color, stripes pattern, and 10 pixel dot size. The results are displayed on the user's device, allowing the user to check the final piece and exhibit and sell it in a virtual store.

[1086] Prompt Sentence Examples

[1087] "The initial settings for the artwork shape are circle, color red, pattern stripes, and dot size 5 pixels. Next, import external data with blue color and dot size 10 pixels and apply it."

[1088] This specification shows the detailed configuration of the system and its implementation, but the server's API, data import function, and UI design for smartphones and HMDs can be flexibly designed for actual implementation. This allows users to efficiently create digital artworks and exhibit and sell them in a virtual store.

[1089] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1090] Step 1:

[1091] The server starts the program and creates an instance of the system.

[1092] Specifically, the server performs initialization processing for the entire system and creates an environment for managing the parameter settings of the work and the import of external data.

[1093] Input: None

[1094] Output: System initialization complete, instantiation

[1095] Step 2:

[1096] The user sets the shape, color, pattern, and size of the dots of the work as parameters using a smartphone or head-mounted display.

[1097] As a specific operation, the user inputs specific parameters (e.g., "circle," "red," "stripes," "5 pixels") through the interface.

[1098] Input: Specific parameters of shape, color, pattern, and dot size

[1099] Output: The configured parameters are sent to the server and stored in a dictionary data structure.

[1100] Step 3:

[1101] A user imports data from an external system.

[1102] Specifically, the user accesses an external system, obtains the necessary data (e.g., "blue color" and "dot size 10 pixels"), and imports it into the system.

[1103] Input: Data from an external system

[1104] Output: The captured data is saved in a dedicated variable on the server.

[1105] Step 4:

[1106] The server applies the retrieved data to the existing parameters.

[1107] Specifically, the server receives the user's command and overwrites the existing parameters with the imported data.

[1108] Input: Imported data, existing parameters

[1109] Output: Overridden parameters

[1110] Step 5:

[1111] The device (smartphone or HMD) displays the final state of the work.

[1112] Specifically, the server sends the overwritten parameters to the terminal, and the terminal displays the latest work status based on the overwritten parameters.

[1113] Input: Overridden parameters

[1114] Output: The final product displayed on the device

[1115] Step 6:

[1116] The user reviews the final product and makes further adjustments if necessary.

[1117] Specifically, the user may check the displayed work and set parameters or import data again.

[1118] Input: Final work state displayed

[1119] Output: Any further adjustments or final decisions required by the user

[1120] This process allows users to efficiently create digital artworks, adjust and display them in real time, and ultimately display and sell them in a virtual store.

[1121] 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.

[1122] The system of the present invention provides comprehensive support for artists to efficiently and effectively advance their creative activities. The system allows users to freely set parameters for the shape, color, pattern, and dot size of their artwork. It also allows users to import data from external drawing systems and apply that data to existing parameters to reflect the artwork. Furthermore, the system incorporates an emotion engine that recognizes the user's emotions, automatically adjusting parameters based on the user's emotions, allowing for more advanced customization of the creative process.

[1123] Program processing

[1124] 1. Starting the program (server)

[1125] The server starts the program and generates an instance of the system. This instantiation initializes the emotion engine and prepares a mechanism for managing the parameter settings of the work and the import of external data.

[1126] 2. Parameter settings (user)

[1127] The user sets the specific shape, color, pattern, and dot size of the work. This information is stored in a dictionary-type data structure managed within the system. For example, if a user sets the parameters as "circle," "red," "stripes," and "5 pixels," this information is stored in the system as the basic components of the work.

[1128] 3. Importing external data (user)

[1129] The user imports data from an external drawing system. The external data includes information such as "blue color" and "point size 10 pixels." This data is stored in dedicated variables within the system and used for further processing.

[1130] 4. Applying external data (user)

[1131] After the user imports external data, they pass a command to the system to reflect the parameters. The server receives this command and overwrites the existing parameters with the contents of the external data. This process determines the final composition of the work.

[1132] 5. Emotion Engine Functions (Server)

[1133] The emotion engine recognizes the user's emotions and automatically adjusts parameters based on them. To do this, the emotion engine analyzes data such as the user's facial expressions and voice in real time and reflects the results in the parameters of the work.

[1134] 6. Displaying the final result (terminal)

[1135] The terminal displays the final state of the work. The server draws the latest state of the work in real time, allowing users to check the current state of the work at any time. For example, the current work is displayed as "Shape: Circle," "Color: Blue," "Pattern: Stripes," and "Dot Size: 10 pixels."

[1136] Specific examples

[1137] Consider a scenario in which a user creates a piece of pottery. When first setting the parameters, the user specifies the shape as "circle," the color as "red," the pattern as "stripes," and the dot size as "5 pixels." Data such as "blue" and "dot size as 10 pixels" are then imported from an external system and applied to the piece. Furthermore, the emotion engine recognizes the user's emotions and makes adjustments, such as making the colors more vivid if the user is excited. Finally, the piece is displayed as "shape: circle," "color: blue," "pattern: stripes," and "dot size: 10 pixels." The user can view the results on their device and make further adjustments as needed.

[1138] This system allows users to freely adjust their emotions and creative elements, and effectively utilize external data to efficiently create highly accurate works of art.

[1139] The processing flow will be explained below.

[1140] Step 1:

[1141] The server starts the program. The server creates an instance of the "ArtSimulationSystem" class and initializes the emotion engine. At this time, the dictionary variable self.artwork, which stores the artwork parameters, and the variable self.external_data, which stores external data, are initialized.

[1142] Step 2:

[1143] The user sets the parameters. The user specifies the shape, color, pattern, and dot size of the artwork through the terminal. The server receives these parameters using the set_parameters method and saves them in the self.artwork dictionary. For example, they might be saved as "Shape: Circle", "Color: Red", "Pattern: Stripes", and "Dot Size: 5 pixels".

[1144] Step 3:

[1145] The user imports data from an external system. The user uses the device to import data obtained from an external system. The server receives this data using the import_external_data method and saves it in self.external_data. For example, information such as "Color: Blue" and "Point size: 10 pixels" is saved.

[1146] Step 4:

[1147] The user applies external data to the artwork. The user calls the apply_external_data method from the device, and the server integrates the contents of self.external_data into self.artwork. This process overwrites the existing parameters with the external data, and the final parameters of the artwork are updated as follows:

[1148] python

[1149] self.artwork = {

[1150] 'shape': 'circle',

[1151] 'color': 'blue',

[1152] 'pattern': 'striped',

[1153] 'dot_size': 10

[1154] }

[1155] Step 5:

[1156] The server uses an emotion engine to recognize the user's emotions. The server analyzes data collected from devices such as cameras and microphones to determine the user's emotional state. For example, if the user is excited, the emotion engine will detect this.

[1157] Step 6:

[1158] The server automatically adjusts the parameters based on the results of the emotion engine. If the emotion engine recognizes the user's excitement, it will make the colors more vivid. The server will reflect this and readjust the parameters of the artwork.

[1159] Step 7:

[1160] The terminal displays the final result. The server returns the adjusted parameters of the artwork to the terminal, and presents the final state of the artwork to the user. For example, it is displayed as "Shape: Circle," "Color: Bright Blue," "Pattern: Stripes," and "Dot Size: 10 pixels." The user can check the final state of the artwork and make further adjustments if necessary.

[1161] Through these steps, the system allows users to freely set parameters and provides an advanced creative process that combines external data and emotion recognition.

[1162] Example 2

[1163] 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."

[1164] When creating artwork, it is time-consuming and inefficient for users to individually set the shape, color, pattern, and size of the dots, and also to import and utilize data from external systems. It is also often difficult to reflect the user's emotions in the creation of the artwork. A system that can solve these problems is needed.

[1165] 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.

[1166] In this invention, the server includes means for the user to set parameters for the shape, color, pattern, and dot size of the artwork, means for importing data from an external system, means for applying the imported data to the parameters set by the user, means for recognizing the user's emotions in real time and automatically adjusting the parameters, and means for displaying the final state of the artwork, thereby enabling users to efficiently and effectively create high-quality works of art.

[1167] "A means for users to set the shape, color, pattern, and dot size of the work as parameters" refers to a mechanism in which users input the basic attributes of the work through an interface and manage them within the system.

[1168] "Means for importing data from external systems" refers to a mechanism for importing necessary data from external drawing software or databases and making it available within the system.

[1169] "Means for applying imported data to parameters set by the user" refers to a mechanism for reflecting imported external data in parameters set by the user and using it as a component of the final work.

[1170] "Means for recognizing the user's emotions in real time and automatically adjusting parameters" refers to a system that uses sensors such as cameras and microphones to analyze the user's emotions and automatically adjusts the set parameters appropriately based on the analysis results.

[1171] The "means for displaying the final status of the work" is a system that displays the latest status of the work sent from the server on the terminal in real time, allowing the user to check the status.

[1172] "Storage means" refers to a data storage system that provides the functionality to save parameters set by the user and data imported from external systems, and to update them as necessary.

[1173] The present invention is a comprehensive system that allows users to create artworks efficiently and effectively. This system is composed of three entities: a server, a terminal, and a user, and includes the following means:

[1174] Program Description

[1175] 1. Starting the program (server)

[1176] The server starts the program, creating an instance of the system. Initial settings are made for the emotion engine and parameter setting management. The server loads dependent libraries and references specific configuration files to perform the initial settings. It also sets up the necessary database connections and APIs.

[1177] 2. Parameter settings (user)

[1178] The user inputs parameters such as the shape, color, pattern, and dot size of the work through the interface. This information is stored in a dictionary-type data structure. For example, if the user sets "circle," "red," "stripes," and "5 pixels," these parameters are stored in memory as key-value pairs.

[1179] 3. Importing external data (user)

[1180] The user imports data from an external drawing system, such as "blue color" and "point size 10 pixels." The imported data is stored in dedicated variables.

[1181] 4. Applying external data (user)

[1182] The user passes a command to the system to reflect the imported external data in the parameters. The server receives this command and overwrites the existing parameters with the contents of the external data, thereby determining the final composition of the work.

[1183] 5. Emotion Engine Functions (Server)

[1184] The emotion engine recognizes the user's emotions in real time and automatically adjusts parameters. This function captures facial and voice data through the camera and microphone, identifies emotions based on an analysis algorithm, and reflects the results in the parameters of the work.

[1185] 6. Displaying the final result (terminal)

[1186] The terminal displays the final state of the work, and the server generates visual data for the work based on the updated parameters and sends it to the terminal in real time. The user can check the current state of the work and make further adjustments if necessary.

[1187] Specific examples

[1188] For example, consider a user creating a piece of pottery. When initially setting the parameters, the user specifies the shape as "circle," the color as "red," the pattern as "stripes," and the dot size as "5 pixels." Data such as "blue" and "dot size as 10 pixels" are then imported from an external system and applied to the piece. Furthermore, the emotion engine recognizes the user's emotions and makes adjustments, such as making the colors more vivid if the user is excited. Finally, the piece is displayed as "shape: circle," "color: blue," "pattern: stripes," and "dot size: 10 pixels." The user can view the results on their device and make further adjustments as needed.

[1189] Prompt Sentence Examples

[1190] Example prompts to be fed to the generative AI model:

[1191] "To create a piece of pottery, the user set the shape as 'circle,' the color as 'red,' the pattern as 'stripes,' and the dot size as '5 pixels.' Data such as 'blue,' and 'dot size as 10 pixels' were imported from an external system and applied, and the emotion engine recognized the user's emotion and adjusted the parameters accordingly. Please explain this process."

[1192] This system allows users to fine-tune their emotions and creative elements, and effectively utilize external data to efficiently create highly accurate works of art.

[1193] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1194] Step 1:

[1195] The server starts the program. During this process, it loads the necessary dependent libraries and references specific configuration files to perform initial configuration. The server loads the database connection information and establishes the connection. The input to this process is the program startup command and configuration file, and the output is the system instance and a log that it is ready. Specifically, the program is executed from the server's command line and various services are initialized.

[1196] Step 2:

[1197] A user logs in to the system and accesses the dashboard. In the login process, the user enters their authentication information, the server performs authentication, and a successful authentication response is returned to the terminal. The input for this process is the user's authentication information, and the output is an authentication token and a successful login screen. Specifically, the user enters their user ID and password into the input form and clicks the "Login" button.

[1198] Step 3:

[1199] The user sets the parameters of the work's shape, color, pattern, and dot size. This parameter information is saved in a dictionary-type data structure. The input to this process is the set parameters, and the output is the saved parameter dictionary. Specifically, the user enters each parameter into the input field on the interface and clicks the "Set" button.

[1200] Step 4:

[1201] The user imports data from an external system. The imported data is saved in a dedicated variable. The input to this process is the data from the external system, and the output is the saved imported data. Specifically, the user selects the required data using the "Data Import" function of the external drawing system and clicks the "Import" button.

[1202] Step 5:

[1203] The user sends a command to the server to reflect the external data they have imported into the system. The server receives this command and overwrites the contents of the external data with the existing parameters. The input to this process is the reflection command and the external data, and the output is the updated parameters. Specifically, the user clicks the "Reflect Data" button and waits for a response from the server.

[1204] Step 6:

[1205] The emotion engine analyzes the user's emotions in real time and automatically adjusts parameters based on the obtained emotional data. The input for this process is the user's facial expressions and voice data, and the output is the adjusted parameters. Specifically, data is acquired using the device's camera and microphone and then input into the analysis algorithm.

[1206] Step 7:

[1207] The terminal displays the final state of the work. The server generates visual data for the work based on the updated parameters and sends it to the terminal. The input to this process is the updated parameters, and the output is the displayed state of the work. Specifically, the latest image of the work is displayed on the terminal display, and the user confirms it.

[1208] (Application example 2)

[1209] 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."

[1210] While modern industrial product manufacturing requires diverse designs and customization, there is a lack of intuitive ways for workers to set and adjust product designs. Furthermore, there is no technology that dynamically adjusts designs based on the worker's emotions. This hinders an efficient and creative design process, resulting in a decline in product quality and work efficiency.

[1211] 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.

[1212] In this invention, the server includes means for a user to set parameters for the shape, color, pattern, and dot size of the work, means for importing data from an external system, means for applying the imported data to the parameters set by the user, means for displaying the final state of the work, and means for recognizing the user's emotions using an emotion engine and automatically adjusting the setting parameters based on the emotions. This not only allows workers to intuitively set and adjust the design of industrial products, but also enables dynamic design adjustments according to the worker's emotions.

[1213] "Users" are individuals or corporations who operate the system and set the design parameters of the work.

[1214] "Shape of Work" means the outline or form of the work's appearance that can be configured or changed.

[1215] "Color" refers to the types and combinations of colors applied to a work.

[1216] A "pattern" is a visual pattern or design placed on the surface of a work.

[1217] "Dot size" refers to the size of the dots contained in a pattern or design.

[1218] A "means" is a device, apparatus, method, or process for achieving a particular purpose.

[1219] An "external system" is other software or hardware that exists outside the system and provides or receives data.

[1220] "External Data" is information imported from an external system and applied to parameters set by the user.

[1221] "Ingest" is the process of receiving data from an external system and making it available within the system.

[1222] "Reflect" means to apply the acquired data, apply it to the set parameters and display the results.

[1223] "Display" means to visually present to the user the state of the final work generated based on the settings and imported data.

[1224] The "emotion engine" is a component that has the ability to analyze the user's emotions and dynamically adjust parameters accordingly.

[1225] "Recognizing" is the process of acquiring and understanding the user's emotions and state using sensors and algorithms.

[1226] "Automatically adjust" means changing parameters based on predefined logic or algorithms without the need for manual intervention.

[1227] The system of the present invention provides comprehensive support for efficient and intuitive design and customization of industrial products. The system includes a user interface that allows an operator to set the shape, color, pattern, and dot size of the product. Specific embodiments for carrying out the present invention will be described below.

[1228] System Programming and Processing

[1229] 1. Server Functions

[1230] The server was developed in Python and runs as a web server using Flask. When the server starts, a system instance is created and the emotion engine (TensorFlow model) and design management system are initialized. The server also manages data import from external systems and applies it to parameters set by the user.

[1231] 2. User Operation

[1232] Using an interface accessible via a web browser, users can set the product's shape (e.g., square, circle), color (e.g., red, blue), pattern (e.g., dotted line, stripes), and dot size (e.g., 3 pixels, 10 pixels). Once the user enters these parameters, the information is sent to the server and stored in JSON format.

[1233] 3. Importing data from external systems

[1234] The server imports data from the external system selected by the user, analyzes it, and reflects it in the existing parameters. For example, if data such as "Color: Blue" and "Dot size: 6 pixels" is imported from the external system, it will overwrite the corresponding parameters on the server.

[1235] 4. Use of Emotion Engine

[1236] The server is equipped with an emotion engine that uses a camera using OpenCV and a highly sensitive microphone to analyze the user's emotions in real time. For example, if the user is excited, the emotion engine adjusts the colors to be more vivid.

[1237] 5. Displaying the final design

[1238] Based on the parameters set by the user and external data, the final design is displayed in real time in the web browser. To achieve this, the server generates the latest design state and displays it using JavaScript and HTML / CSS.

[1239] Specific examples

[1240] Let's take the example of a user designing an industrial product. The user first sets the shape to "rectangle," the color to "green," the pattern to "dotted line," and the dot size to "3 pixels." The user then imports "color: blue" and "dot size: 6 pixels" from an external design system, and the server reflects these in the existing parameters. Furthermore, the emotion engine analyzes the user's emotions and automatically adjusts the color to "brighter blue" if the user is excited, for example. The final generated design is displayed in a web browser as "shape: rectangle," "color: bright blue," "pattern: dotted line," and "dot size: 6 pixels." The user can review this design and make further adjustments as needed.

[1241] Example prompts for generative AI models

[1242] The user sets the parameters for designing an industrial product: the shape is square, the color is green, the pattern is dotted, and the dot size is 3 pixels. Next, parameters are imported from an external design system, overriding the color to blue and the dot size to 6 pixels. Finally, the emotion engine detects the user's excitement and automatically adjusts the color to a brighter blue. This process is implemented in code.

[1243] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1244] Step 1:

[1245] The server is started and a system instance is generated. The server is developed in Python and operates as a web server using Flask. In this step, the emotion engine (TensorFlow model) and design management system are initialized. This allows the server to accept requests from users and prepare for the next process. The input is the system startup instructions, and the output is the initialized system instance.

[1246] Step 2:

[1247] The user accesses the interface via a web browser and sets the product's shape, color, pattern, and dot size. The data entered by the user (e.g., "Shape: Square," "Color: Green," "Pattern: Dotted line," "Dot size: 3 pixels") is sent to the server in JSON format. In this step, the input is the parameters set by the user, and the output is the parameter information saved on the server.

[1248] Step 3:

[1249] The server imports data from an external system. It imports, analyzes, and saves data selected by the user from the external system. Examples of imported data include "Color: Blue" and "Dot Size: 6 pixels." This data overwrites the corresponding parameters on the server. In this step, the input is data from the external system, and the output is the updated parameter information.

[1250] Step 4:

[1251] The emotion engine on the server analyzes the user's emotions. It uses OpenCV and a high-sensitivity microphone to analyze the user's facial expressions and voice in real time using a camera and microphone. The emotion engine uses a TensorFlow model to recognize emotions and adjust parameters based on specific conditions, such as when the user is excited. In this step, the input is the user's facial expressions and voice, which are continuously acquired, and the output is the adjusted parameter information.

[1252] Step 5:

[1253] The server generates the final design of the industrial product based on the parameters set by the user and the parameters adjusted by the emotion engine. To display this on a web browser in real time, it uses JavaScript and HTML / CSS to perform the rendering process. The latest design state is displayed visually so that the user can check it. In this step, the input is the adjusted parameter information, and the output is a real-time display of the generated design.

[1254] Step 6:

[1255] The user checks the final design and makes further adjustments if necessary. New parameters are set again through the interface and sent to the server, which adjusts and generates the design again. In this step, the input is the new adjustment parameters made by the user, and the output is a display of the re-adjusted design.

[1256] 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.

[1257] 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.

[1258] 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.

[1259] 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.

[1260] 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.

[1261] 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.

[1262] 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).

[1263] 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.

[1264] 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."

[1265] 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.

[1266] 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).

[1267] 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.

[1268] 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.

[1269] 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.

[1270] 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.

[1271] 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.

[1272] 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.

[1273] 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.

[1274] 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.

[1275] 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.

[1276] 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.

[1277] The following is further disclosed regarding the above embodiment.

[1278] (Claim 1)

[1279] A means for the user to set the shape, color, pattern and size of the dots of the work as parameters;

[1280] a means of ingesting data from external systems;

[1281] a means for applying the captured data to user-defined parameters;

[1282] a means of displaying the final state of the work;

[1283] A system including:

[1284] (Claim 2)

[1285] 2. The system of claim 1, further comprising means for overwriting existing parameters set by a user with data imported from an external system.

[1286] (Claim 3)

[1287] 2. The system according to claim 1, further comprising a storage means for storing and updating parameters set by a user and data imported from an external system.

[1288] "Example 1"

[1289] (Claim 1)

[1290] A means for the user to set the shape, color, pattern and size of the dots of the work as parameters;

[1291] a means of ingesting data from external systems;

[1292] a means for applying the captured data to user-defined parameters;

[1293] a means of displaying the final state of the work;

[1294] a means for storing user-specified parameters in a dictionary-type data structure;

[1295] A means to save data imported from external systems in dedicated variables,

[1296] A means for overwriting existing parameters with external data based on user commands;

[1297] A system including:

[1298] (Claim 2)

[1299] 2. The system of claim 1, further comprising means for overwriting existing parameters set by a user with data imported from an external system.

[1300] (Claim 3)

[1301] 2. The system according to claim 1, further comprising a storage means for storing and updating parameters set by a user and data imported from an external system.

[1302] "Application Example 1"

[1303] (Claim 1)

[1304] A means for the user to set the shape, color, pattern and size of the dots of the work as parameters;

[1305] a means of ingesting data from external systems;

[1306] a means for applying the captured data to user-defined parameters;

[1307] a means of displaying the final state of the work;

[1308] The captured data can be adjusted in real time, and the works can be displayed and sold in a virtual store using a smartphone or head-mounted display.

[1309] A system including:

[1310] (Claim 2)

[1311] 2. The system of claim 1, further comprising means for overwriting existing parameters set by a user with data imported from an external system.

[1312] (Claim 3)

[1313] 2. The system according to claim 1, further comprising a storage means for storing and updating parameters set by a user and data imported from an external system.

[1314] "Example 2: Combining Emotion Engines"

[1315] (Claim 1)

[1316] A means for the user to set the shape, color, pattern and size of the dots of the work as parameters;

[1317] a means of ingesting data from external systems;

[1318] a means for applying the captured data to user-defined parameters;

[1319] A means of recognizing the user's emotions in real time and automatically adjusting parameters,

[1320] a means of displaying the final state of the work;

[1321] A system including:

[1322] (Claim 2)

[1323] 2. The system of claim 1, further comprising means for overwriting existing parameters set by a user with data imported from an external system.

[1324] (Claim 3)

[1325] 2. The system according to claim 1, further comprising a storage means for storing and updating parameters set by a user and data imported from an external system.

[1326] "Application example 2 when combining emotion engines"

[1327] (Claim 1)

[1328] A means for the user to set the shape, color, pattern and size of the dots of the work as parameters;

[1329] a means of ingesting data from external systems;

[1330] a means for applying the captured data to user-defined parameters;

[1331] a means of displaying the final state of the work;

[1332] means for recognizing a user's emotions using an emotion engine and automatically adjusting configuration parameters based thereon;

[1333] A system including:

[1334] (Claim 2)

[1335] 2. The system of claim 1, further comprising means for overwriting existing parameters set by a user with data imported from an external system.

[1336] (Claim 3)

[1337] 2. The system according to claim 1, further comprising a storage means for storing and updating parameters set by a user and data imported from an external system. [Explanation of symbols]

[1338] 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. A means for the user to set the shape, color, pattern and size of the dots of the work as parameters; a means of ingesting data from external systems; a means for applying the captured data to user-defined parameters; a means of displaying the final state of the work; A system including:

2. 2. The system of claim 1, further comprising means for overwriting existing parameters set by a user with data imported from an external system.

3. 2. The system according to claim 1, further comprising storage means for storing and updating parameters set by a user and data imported from an external system.

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